Publications (Full List)

Categorised by venue , by year . 273 papers.

Google scholar (15807 citations) , DBLP , arXiv .

2020

Journal

  1. TasselNetv2: in-field counting of wheat spikes with context-augmented local regression networks
    cdot H. Xiong, Z. Cao, H. Lu, S. Madec, L. Liu, C. Shen.
    cdot Plant Methods (PLME), 2020.
    cdot bibtexsearch

  2. MobileFAN: transferring deep hidden representation for face alignment
    cdot Y. Zhao, Y. Liu, C. Shen, Y. Gao, S. Xiong.
    cdot Pattern Recognition (PR), 2020.
    cdot arXivbibtexsearch

  3. Accurate tensor completion via adaptive low-rank representation
    cdot L. Zhang, W. Wei, Q. Shi, C. Shen, A. van den Hengel, Y. Zhang.
    cdot IEEE Transactions on Neural Networks and Learning Systems (TNN), 2020.
    cdot bibtexsearch

  4. Deep clustering with sample-assignment invariance prior
    cdot X. Peng, H. Zhu, J. Feng, C. Shen, H. Zhang, J. Zhou.
    cdot IEEE Transactions on Neural Networks and Learning Systems (TNN), 2020.
    cdot bibtexsearch

  5. Plenty is plague: fine-grained learning for visual question answering
    cdot Y. Zhou, R. Ji, J. Su, X. Sun, D. Meng, Y. Gao, C. Shen.
    cdot IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
    cdot linkbibtexsearch

Conference

  1. Task-aware monocular depth estimation for 3D object detection
    cdot X. Wang, W. Yin, T. Kong, Y. Jiang, L. Li, C. Shen.
    cdot Proc. AAAI Conference on Artificial Intelligence (AAAI’20), 2020.
    cdot arXivbibtexsearch

  2. V-PROM: a benchmark for visual reasoning using visual progressive matrices
    cdot D. Teney, P. Wang, J. Cao, L. Liu, C. Shen, A. van den Hengel.
    cdot Proc. AAAI Conference on Artificial Intelligence (AAAI’20), 2020.
    cdot arXivbibtexsearch

2019

Journal

  1. Adaptive importance learning for improving lightweight image super-resolution network
    cdot L. Zhang, P. Wang, C. Shen, L. Liu, W. Wei, Y. Zhang, A. van den Hengel.
    cdot International Journal of Computer Vision (IJCV), 2019.
    cdot arXivbibtexsearch

  2. Accurate imagery recovery using a multi-observation patch model
    cdot L. Zhang, W. Wei, Q. Shen, C. Shen, A. van den Hengel.
    cdot Information Sciences (IS), 2019.
    cdot bibtexsearch

  3. Heritage image annotation via collective knowledge
    cdot J. Zhang, Q. Wu, J. Zhang, C. Shen, J. Lu, Q. Wu.
    cdot Pattern Recognition (PR), 2019.
    cdot bibtexsearch

  4. Wider or deeper: revisiting the ResNet model for visual recognition
    cdot Z. Wu, C. Shen, A. van den Hengel.
    cdot Pattern Recognition (PR), 2019.
    cdot arXivbibtexsearch

  5. Order-aware convolutional pooling for video based action recognition
    cdot P. Wang, L. Liu, C. Shen, H. Shen.
    cdot Pattern Recognition (PR), 2019.
    cdot bibtexsearch

  6. Human detection aided by deeply learned semantic masks
    cdot X. Wang, C. Shen, H. Li, S. Xu.
    cdot IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019.
    cdot bibtexsearch

  7. Embedding bilateral filter in least squares for efficient edge-preserving image smoothing
    cdot W. Liu, P. Zhang, X. Chen, C. Shen, X. Huang, J. Yang.
    cdot IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019.
    cdot bibtexsearch

  8. Counting objects by blockwise classification
    cdot L. Liu, H. Lu, H. Xiong, K. Xian, Z. Cao, C. Shen.
    cdot IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019.
    cdot bibtexsearch

  9. Hyperspectral classification based on lightweight 3D-CNN with transfer learning
    cdot H. Zhang, Y. Li, Y. Jiang, P. Wang, Q. Shen, C. Shen.
    cdot IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019.
    cdot bibtexsearch

  10. Salient object detection with lossless feature reflection and weighted structural loss
    cdot P. Zhang, W. Liu, H. Lu, C. Shen.
    cdot IEEE Transactions on Image Processing (TIP), 2019.
    cdot bibtexsearch

  11. Piecewise classifier mappings: learning fine-grained learners for novel categories with few examples
    cdot X. Wei, P. Wang, L. Liu, C. Shen, J. Wu.
    cdot IEEE Transactions on Image Processing (TIP), 2019.
    cdot arXivbibtexsearch

  12. Structural analysis of attributes for vehicle re-identification and retrieval
    cdot Y. Zhao, C. Shen, H. Wang, S. Chen.
    cdot IEEE Transactions on Intelligent Transportation Systems (TITS), 2019.
    cdot bibtexsearch

  13. Multiple instance learning with emerging novel class
    cdot X. Wei, H. Ye, X. Mu, J. Wu, C. Shen, Z. Zhou.
    cdot IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019.
    cdot bibtexsearch

  14. Attention residual learning for skin lesion classification
    cdot J. Zhang, Y. Xie, Y. Xia, C. Shen.
    cdot IEEE Transactions on Medical Imaging (TMI), 2019.
    cdot bibtexsearch

  15. Decoupled spatial neural attention for weakly supervised semantic segmentation
    cdot T. Zhang, G. Lin, J. Cai, T. Shen, C. Shen, A. Kot.
    cdot IEEE Transactions on Multimedia (TMM), 2019.
    cdot arXivbibtexsearch

  16. RefineNet: multi-path refinement networks for dense prediction
    cdot G. Lin, F. Liu, A. Milan, C. Shen, I. Reid.
    cdot IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.
    cdot bibtexsearchproject webpage

    1. Pytorch code is here.

  17. Adversarial learning of structure-aware fully convolutional networks for landmark localization
    cdot Y. Chen, C. Shen, H. Chen, X. Wei, L. Liu, J. Yang.
    cdot IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.
    cdot arXivbibtexsearch

Conference

  1. Show, attend and read: a simple and strong baseline for irregular text recognition
    cdot H. Li, P. Wang, C. Shen, G. Zhang.
    cdot Proc. AAAI Conference on Artificial Intelligence (AAAI’19), 2019.
    cdot arXivbibtexsearch

  2. Deep hashing by discriminating hard examples
    cdot C. Yan, G. Pang, X. Bai, C. Shen, J. Zhou, E. Hancock.
    cdot Proc. ACM International Conference on Multimedia (ACMMM’19), 2019.
    cdot bibtexsearch

  3. Structured binary neural networks for accurate image classification and semantic segmentation
    cdot B. Zhuang, C. Shen, M. Tan, L. Liu, I. Reid.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
    cdot arXivbibtexsearchproject webpage

  4. Mind your neighbours: image annotation with metadata neighbourhood graph co-attention networks
    cdot J. Zhang, Q. Wu, J. Zhang, C. Shen, J. Lu.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
    cdot linkbibtexsearch

  5. CANet: class-agnostic segmentation networks with iterative refinement and attentive few-shot learning
    cdot C. Zhang, G. Lin, F. Liu, R. Yao, C. Shen.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
    cdot arXivbibtexsearch

  6. Attention-guided network for ghost-free high dynamic range imaging
    cdot Q. Yan, D. Gong, Q. Shi, A. van den Hengel, C. Shen, I. Reid, Y. Zhang.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
    cdot arXivbibtexsearch

  7. Associatively segmenting instances and semantics in point clouds
    cdot X. Wang, S. Liu, X. Shen, C. Shen, J. Jia.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
    cdot arXivbibtexsearch

  8. Neighbourhood watch: referring expression comprehension via language-guided graph attention networks
    cdot P. Wang, Q. Wu, J. Cao, C. Shen, L. Gao, A. vanden Hengel.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
    cdot arXivbibtexsearch

  9. Decoders matter for semantic segmentation: data-dependent decoding enables flexible feature aggregation
    cdot Z. Tian, T. He, C. Shen, Y. Yan.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
    cdot arXivbibtexsearch

  10. Fast neural architecture search of compact semantic segmentation models via auxiliary cells
    cdot V. Nekrasov, H. Chen, C. Shen, I. Reid.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
    cdot arXivbibtexsearch

  11. Visual question answering as reading comprehension
    cdot H. Li, P. Wang, C. Shen, A. van den Hengel.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
    cdot arXivbibtexsearch

  12. Knowledge adaptation for efficient semantic segmentation
    cdot T. He, C. Shen, Z. Tian, D. Gong, C. Sun, Y. Yan.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19), 2019.
    cdot arXivbibtexsearch

  13. Self-training with progressive augmentation for unsupervised cross-domain person re-identification
    cdot X. Zhang, J. Cao, C. Shen, M. You.
    cdot Proc. International Conference on Computer Vision (ICCV’19), 2019.
    cdot arXivbibtexsearch

  14. Exploiting temporal consistency for real-time video depth estimation
    cdot H. Zhang, C. Shen, Y. Li, Y. Cao, Y. Liu, Y. Yan.
    cdot Proc. International Conference on Computer Vision (ICCV’19), 2019.
    cdot arXivbibtexsearch

  15. Enforcing geometric constraints of virtual normal for depth prediction
    cdot W. Yin, Y. Liu, C. Shen, Y. Yan.
    cdot Proc. International Conference on Computer Vision (ICCV’19), 2019.
    cdot arXivbibtexsearchproject webpage

  16. From open set to closed set: counting objects by spatial divide-and-conquer
    cdot H. Xiong, H. Lu, C. Liu, L. Liu, Z. Cao, C. Shen.
    cdot Proc. International Conference on Computer Vision (ICCV’19), 2019.
    cdot arXivbibtexsearchproject webpage

  17. Efficient and accurate arbitrary-shaped text detection with pixel aggregation network
    cdot W. Wang, E. Xie, X. Song, Y. Zang, W. Wang, T. Lu, G. Yu, C. Shen.
    cdot Proc. International Conference on Computer Vision (ICCV’19), 2019.
    cdot bibtexsearch

  18. FCOS: fully convolutional one-stage object detection
    cdot Z. Tian, C. Shen, H. Chen, T. He.
    cdot Proc. International Conference on Computer Vision (ICCV’19), 2019.
    cdot arXivbibtexsearchproject webpage

  19. Indices matter: learning to index for deep image matting
    cdot H. Lu, Y. Dai, C. Shen, S. Xu.
    cdot Proc. International Conference on Computer Vision (ICCV’19), 2019.
    cdot arXivbibtexsearch

  20. Real-time joint semantic segmentation and depth estimation using asymmetric annotations
    cdot V. Nekrasov, T. Dharmasiri, A. Spek, T. Drummond, C. Shen, I. Reid.
    cdot Proc. International Conference on Robotics and Automation (ICRA’19), 2019.
    cdot bibtexsearch

  21. Light-weight hybrid convolutional network for liver tumor segmentation
    cdot J. Zhang, Y. Xie, P. Zhang, H. Chen, Y. Xia, C. Shen.
    cdot Proc. International Joint Conference on Artificial Intelligence (IJCAI’19), 2019.
    cdot bibtexsearch

  22. Deep anomaly detection with deviation networks
    cdot G. Pang, C. Shen, A. van den Hengel.
    cdot Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’19), 2019.
    cdot bibtexsearch

  23. Deep segmentation-emendation model for gland instance segmentation
    cdot Y. Xie, H. Lu, J. Zhang, C. Shen, Y. Xia.
    cdot Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI’19), 2019.
    cdot bibtexsearch

  24. Multi-marginal wasserstein GAN
    cdot J. Cao, L. Mo, Y. Zhang, K. Jia, C. Shen, M. Tan.
    cdot Proc. Advances in Neural Information Processing Systems (NeurIPS’19), 2019.
    cdot arXivbibtexsearch

  25. Unsupervised scale-consistent depth and ego-motion learning from monocular video
    cdot J. Bian, Z. Li, N. Wang, H. Zhan, C. Shen, M. Cheng, I. Reid.
    cdot Proc. Advances in Neural Information Processing Systems (NeurIPS’19), 2019.
    cdot arXivbibtexsearchproject webpage

2018

Journal

  1. Cluster sparsity field: an internal hyperspectral imagery prior for reconstruction
    cdot L. Zhang, W. Wei, Y. Zhang, C. Shen, A. van den Hengel, Q. Shi.
    cdot International Journal of Computer Vision (IJCV), 2018.
    cdot pdfbibtexsearch

  2. Reading car license plates using deep neural networks
    cdot H. Li, P. Wang, M. You, C. Shen.
    cdot Image and Vision Computing (IVC), 2018.
    cdot arXivbibtexsearch

  3. Multi-label learning based deep transfer neural network for facial attribute classification
    cdot N. Zhuang, Y. Yan, S. Chen, H. Wang, C. Shen.
    cdot Pattern Recognition (PR), 2018.
    cdot arXivbibtexsearch

  4. Unsupervised object discovery and co-localization by deep descriptor transforming
    cdot X. Wei, C. Zhang, J. Wu, C. Shen, Z. Zhou.
    cdot Pattern Recognition (PR), 2018.
    cdot arXivbibtexsearch

  5. Unsupervised domain adaptation using robust class-wise matching
    cdot L. Zhang, P. Wang, W. Wei, H. Lu, C. Shen, A. van den Hengel, Y. Zhang.
    cdot IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018.
    cdot bibtexsearch

  6. Semantics-aware visual object tracking
    cdot R. Yao, G. Lin, C. Shen, Y. Zhang, Q. Shi.
    cdot IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018.
    cdot bibtexsearch

  7. Pushing the limits of deep CNNs for pedestrian detection
    cdot Q. Hu, P. Wang, C. Shen, A. van den Hengel, F. Porikli.
    cdot IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018.
    cdot arXivbibtexsearch

  8. An embarrassingly simple approach to visual domain adaptation
    cdot H. Lu, C. Shen, Z. Cao, Y. Xiao, A. van den Hengel.
    cdot IEEE Transactions on Image Processing (TIP), 2018.
    cdot bibtexsearchproject webpage

  9. An extended filtered channel framework for pedestrian detection
    cdot M. You, Y. Zhang, C. Shen, X. Zhang.
    cdot IEEE Transactions on Intelligent Transportation Systems (TITS), 2018.
    cdot bibtexsearch

  10. Towards end-to-end car license plates detection and recognition with deep neural networks
    cdot H. Li, P. Wang, C. Shen.
    cdot IEEE Transactions on Intelligent Transportation Systems (TITS), 2018.
    cdot bibtexsearch

  11. Multi-label image classification with regional latent semantic dependencies
    cdot J. Zhang, Q. Wu, C. Shen, J. Zhang, J. Lu.
    cdot IEEE Transactions on Multimedia (TMM), 2018.
    cdot arXivbibtexsearch

  12. Automatic image cropping for visual aesthetic enhancement using deep neural networks and cascaded regression
    cdot G. Guo, H. Wang, C. Shen, Y. Yan, H. Liao.
    cdot IEEE Transactions on Multimedia (TMM), 2018.
    cdot arXivbibtexsearch

  13. FVQA: fact-based visual question answering
    cdot P. Wang, Q. Wu, C. Shen, A. Dick, A. van den Hengel.
    cdot IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.
    cdot arXivbibtexsearch

  14. Ordinal constraint binary coding for approximate nearest neighbor search
    cdot H. Liu, R. Ji, J. Wang, C. Shen.
    cdot IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.
    cdot pdfbibtexsearch

Conference

  1. HCVRD: a benchmark for large-scale human-centered visual relationship detection
    cdot B. Zhuang, Q. Wu, C. Shen, I. Reid, A. van den Hengel.
    cdot Proc. AAAI Conference on Artificial Intelligence (AAAI’18), 2018.
    cdot bibtexsearch

  2. Kill two birds with one stone: weakly-supervised neural network for image annotation and tag refinement
    cdot J. Zhang, Q. Wu, J. Zhang, C. Shen, J. Lu.
    cdot Proc. AAAI Conference on Artificial Intelligence (AAAI’18), 2018.
    cdot bibtexsearch

  3. Coarse-to-fine: a RNN-based hierarchical attention model for vehicle re-identification
    cdot X. Wei, C. Zhang, L. Liu, C. Shen, J. Wu.
    cdot Proc. Asian Conference on Computer Vision (ACCV’18), 2018.
    cdot bibtexsearch

  4. Deep attention-based classification network for robust depth prediction
    cdot R. Li, K. Xian, C. Shen, Z. Cao, H. Lu, L. Hang.
    cdot Proc. Asian Conference on Computer Vision (ACCV’18), 2018.
    cdot arXivbibtexsearch

  5. Light-weight refinenet for real-time semantic segmentation
    cdot V. Nekrasov, C. Shen, I. Reid.
    cdot Proc. British Machine Vision Conference (BMVC’18), 2018.
    cdot bibtexsearchproject webpage

  6. A hybrid probabilistic model for camera relocalization
    cdot M. Cai, C. Shen, I. Reid.
    cdot Proc. British Machine Vision Conference (BMVC’18), 2018.
    cdot bibtexsearch

  7. Parallel attention: a unified framework for visual object discovery through dialogs and queries
    cdot B. Zhuang, Q. Wu, C. Shen, I. Reid, A. van den Hengel.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’18), 2018.
    cdot arXivbibtexsearch

  8. Towards effective low-bitwidth convolutional neural networks
    cdot B. Zhuang, C. Shen, M. Tan, L. Liu, I. Reid.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’18), 2018.
    cdot arXivbibtexsearch

  9. Monocular relative depth perception with web stereo data supervision
    cdot K. Xian, C. Shen, Z. Cao, H. Lu, Y. Xiao, R. Li, Z. Luo.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’18), 2018.
    cdot bibtexsearch

  10. Are you talking to me? reasoned visual dialog generation through adversarial learning
    cdot Q. Wu, P. Wang, C. Shen, I. Reid, A. van den Hengel.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’18), 2018.
    cdot arXivbibtexsearch

  11. Repulsion loss: detecting pedestrians in a crowd
    cdot X. Wang, T. Xiao, Y. Jiang, S. Shao, J. Sun, C. Shen.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’18), 2018.
    cdot arXivbibtexsearch

    1. Others have implemented our paper: Repulsion loss in SSD and Repulsion loss in RetinaNet.

  12. VITAL: visual tracking via adversarial learning
    cdot Y. Song, C. Ma, X. Wu, L. Gong, L. Bao, W. Zuo, C. Shen, R. Lau, M. Yang.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’18), 2018.
    cdot arXivbibtexsearchproject webpage

  13. Bootstrapping the performance of webly supervised semantic segmentation
    cdot T. Shen, G. Lin, C. Shen, I. Reid.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’18), 2018.
    cdot bibtexsearchproject webpage

  14. Visual question answering with memory-augmented networks
    cdot C. Ma, C. Shen, A. Dick, Q. Wu, P. Wang, A. van den Hengel, I. Reid.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’18), 2018.
    cdot arXivbibtexsearch

  15. An end-to-end textspotter with explicit alignment and attention
    cdot T. He, Z. Tian, W. Huang, C. Shen, Y. Qiao, C. Sun.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’18), 2018.
    cdot arXivbibtexsearchproject webpage

  16. FSRNet: end-to-end learning face super-resolution with facial priors
    cdot Y. Chen, Y. Tai, X. Liu, C. Shen, J. Yang.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’18), 2018.
    cdot arXivbibtexsearchproject webpage

  17. Goal-oriented visual question generation via intermediate rewards
    cdot J. Zhang, Q. Wu, C. Shen, J. Zhang, J. Lu, A. van den Hengel.
    cdot Proc. European Conference on Computer Vision (ECCV’18), 2018.
    cdot arXivbibtexsearch

  18. Learning to predict crisp boundaries
    cdot R. Deng, C. Shen, S. Liu, H. Wang, X. Liu.
    cdot Proc. European Conference on Computer Vision (ECCV’18), 2018.
    cdot arXivbibtexsearch

  19. Learning deep representations using convolutional auto-encoders with symmetric skip connections
    cdot L. Dong, Y. Gan, X. Mao, Y. Yang, C. Shen.
    cdot Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’18), 2018.
    cdot arXivbibtexsearch

  20. Adversarial learning with local coordinate coding
    cdot J. Cao, Y. Guo, Q. Wu, C. Shen, J. Huang, M. Tan.
    cdot Proc. International Conference on Machine Learning (ICML’18), 2018.
    cdot arXivbibtexsearch

  21. Salient object detection by lossless feature reflection
    cdot P. Zhang, W. Liu, H. Lu, C. Shen.
    cdot Proc. International Joint Conference on Artificial Intelligence (IJCAI’18), 2018.
    cdot arXivbibtexsearch

2017

Journal

  1. Structured learning of binary codes with column generation for optimizing ranking measures
    cdot G. Lin, F. Liu, C. Shen, J. Wu, H. Shen.
    cdot International Journal of Computer Vision (IJCV), 2017.
    cdot arXivbibtexsearchproject webpage

  2. Removal of optically thick clouds from high-resolution satellite imagery using dictionary group learning and interdictionary nonlocal joint sparse coding
    cdot Y. Li, W. Li, C. Shen.
    cdot IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTAEORS), 2017.
    cdot bibtexsearch

  3. TasselNet: counting maize tassels in the wild via local counts regression network
    cdot H. Lu, Z. Cao, Y. Xiao, B. Zhuang, C. Shen.
    cdot Plant Methods (PLME), 2017.
    cdot arXivbibtexsearch

  4. Deep linear discriminant analysis on Fisher networks: a hybrid architecture for person re-identification
    cdot L. Wu, C. Shen, A. van den Hengel.
    cdot Pattern Recognition (PR), 2017.
    cdot arXivbibtexsearch

  5. Mask-CNN: localizing parts and selecting descriptors for bird species categorization
    cdot X. Wei, C. Xie, J. Wu, C. Shen.
    cdot Pattern Recognition (PR), 2017.
    cdot bibtexsearch

  6. Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition
    cdot R. Qiao, L. Liu, C. Shen, A. van den Hengel.
    cdot Pattern Recognition (PR), 2017.
    cdot arXivbibtexsearch

  7. Crowd counting via weighted VLAD on dense attribute feature maps
    cdot B. Sheng, C. Shen, G. Lin, J. Li, W. Yang, C. Sun.
    cdot IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2017.
    cdot arXivbibtexsearch

  8. Estimating depth from monocular images as classification using deep fully convolutional residual networks
    cdot Y. Cao, Z. Wu, C. Shen.
    cdot IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2017.
    cdot arXivbibtexsearch

  9. Discriminative training of deep fully-connected continuous CRF with task-specific loss
    cdot F. Liu, G. Lin, C. Shen.
    cdot IEEE Transactions on Image Processing (TIP), 2017.
    cdot arXivbibtexsearch

  10. Exploiting depth from single monocular images for object detection and semantic segmentation
    cdot Y. Cao, C. Shen, H. Shen.
    cdot IEEE Transactions on Image Processing (TIP), 2017.
    cdot arXivbibtexsearch

  11. Deep CNNs with spatially weighted pooling for fine-grained car recognition
    cdot Q. Hu, H. Wang, T. Li, C. Shen.
    cdot IEEE Transactions on Intelligent Transportation Systems (TITS), 2017.
    cdot bibtexsearch

  12. Structured learning of tree potentials in CRF for image segmentation
    cdot F. Liu, G. Lin, R. Qiao, C. Shen.
    cdot IEEE Transactions on Neural Networks and Learning Systems (TNN), 2017.
    cdot arXivbibtexsearch

  13. Image captioning and visual question answering based on attributes and external knowledge
    cdot Q. Wu, C. Shen, P. Wang, A. Dick, A. van den Hengel.
    cdot IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.
    cdot arXivbibtexsearch

  14. Compositional model based Fisher vector coding for image classification
    cdot L. Liu, P. Wang, C. Shen, L. Wang, A. van den Hengel, C. Wang, H. Shen.
    cdot IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.
    cdot arXivbibtexsearch

  15. Cross-convolutional-layer pooling for image recognition
    cdot L. Liu, C. Shen, A. van den Hengel.
    cdot IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.
    cdot arXivlinkbibtexsearch

  16. Exploring context with deep structured models for semantic segmentation
    cdot G. Lin, C. Shen, A. van den Hengel, I. Reid.
    cdot IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.
    cdot arXivbibtexsearch

Conference

  1. Auxiliary tasks to improve trip hazard affordance detection
    cdot S. McMahon, T. Shen, N. Sunderhauf, I. Reid, C. Shen, M. Milford.
    cdot Proc. Australasian Conference on Robotics and Automation (ACRA’17), 2017.
    cdot bibtexsearch

  2. Weakly supervised semantic segmentation based on co-segmentation
    cdot T. Shen, G. Lin, L. Liu, C. Shen, I. Reid.
    cdot Proc. British Machine Vision Conference (BMVC’17), 2017.
    cdot arXivbibtexsearch

  3. Visually aligned word embeddings for improving zero-shot learning
    cdot R. Qiao, L. Liu, C. Shen, A. van den Hengel.
    cdot Proc. British Machine Vision Conference (BMVC’17), 2017.
    cdot bibtexsearch

  4. Attend in groups: a weakly-supervised deep learning framework for learning from web data
    cdot B. Zhuang, L. Liu, Y. Li, C. Shen, I. Reid.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’17), 2017.
    cdot arXivbibtexsearch

  5. The VQA-machine: learning how to use existing vision algorithms to answer new questions
    cdot P. Wang, Q. Wu, C. Shen, A. van den Hengel.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’17), 2017.
    cdot arXivbibtexsearch

  6. Multi-attention network for one shot learning
    cdot P. Wang, L. Liu, C. Shen, Z. Huang, A. van den Hengel, H. Shen.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’17), 2017.
    cdot pdfbibtexsearch

  7. RefineNet: multi-path refinement networks for high-resolution semantic segmentation
    cdot G. Lin, A. Milan, C. Shen, I. Reid.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’17), 2017.
    cdot arXivbibtexsearchproject webpage

    1. Light-weight RefineNet with Pytorch code.

  8. Sequential person recognition in photo albums with a recurrent network
    cdot Y. Li, G. Lin, B. Zhuang, L. Liu, C. Shen, A. van den Hengel.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’17), 2017.
    cdot arXivbibtexsearch

  9. From motion blur to motion flow: a deep learning solution for removing heterogeneous motion blur
    cdot D. Gong, J. Yang, L. Liu, Y. Zhang, I. Reid, C. Shen, A. van den Hengel, Q. Shi.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’17), 2017.
    cdot arXivbibtexsearch

  10. Towards context-aware interaction recognition
    cdot B. Zhuang, L. Liu, C. Shen, I. Reid.
    cdot Proc. IEEE International Conference on Computer Vision (ICCV’17), 2017.
    cdot arXivbibtexsearch

  11. When unsupervised domain adaptation meets tensor representations
    cdot H. Lu, L. Zhang, Z. Cao, W. Wei, K. Xian, C. Shen, A. van den Hengel.
    cdot Proc. IEEE International Conference on Computer Vision (ICCV’17), 2017.
    cdot bibtexsearch

  12. Semi-global weighted least squares in image filtering
    cdot W. Liu, X. Chen, C. Shen, Z. Liu, J. Yang.
    cdot Proc. IEEE International Conference on Computer Vision (ICCV’17), 2017.
    cdot arXivbibtexsearch

  13. Towards end-to-end text spotting with convolutional recurrent neural networks
    cdot H. Li, P. Wang, C. Shen.
    cdot Proc. IEEE International Conference on Computer Vision (ICCV’17), 2017.
    cdot arXivbibtexsearch

  14. Adversarial PoseNet: a structure-aware convolutional network for human pose estimation
    cdot Y. Chen, C. Shen, X. Wei, L. Liu, J. Yang.
    cdot Proc. IEEE International Conference on Computer Vision (ICCV’17), 2017.
    cdot arXivbibtexsearch

  15. Deep learning features at scale for visual place recognition
    cdot Z. Chen, A. Jacobson, N. Sunderhauf, B. Upcroft, L. Liu, C. Shen, I. Reid, M. Milford.
    cdot Proc. IEEE International Conference on Robotics and Automation (ICRA’17), 2017.
    cdot arXivbibtexsearch

  16. Deep descriptor transforming for image co-localization
    cdot X. Wei, C. Zhang, Y. Li, C. Xie, J. Wu, C. Shen, Z. Zhou.
    cdot Proc. International Joint Conference on Artificial Intelligence (IJCAI’17), 2017.
    cdot arXivbibtexsearch

  17. Explicit knowledge-based reasoning for visual question answering
    cdot P. Wang, Q. Wu, C. Shen, A. van den Hengel, A. Dick.
    cdot Proc. International Joint Conference on Artificial Intelligence (IJCAI’17), 2017.
    cdot arXivbibtexsearch

  18. Learning multi-level region consistency with dense multi-label networks for semantic segmentation
    cdot T. Shen, G. Lin, C. Shen, I. Reid.
    cdot Proc. International Joint Conference on Artificial Intelligence (IJCAI’17), 2017.
    cdot arXivbibtexsearch

2016

Journal

  1. Structured learning of metric ensembles with application to person re-identification
    cdot S. Paisitkriangkrai, L. Wu, C. Shen, A. van den Hengel.
    cdot Computer Vision and Image Understanding (CVIU), 2016.
    cdot arXivbibtexsearch

  2. Unsupervised feature learning for dense correspondences across scenes
    cdot C. Zhang, C. Shen, T. Shen.
    cdot International Journal of Computer Vision (IJCV), 2016.
    cdot arXivbibtexsearchproject webpage

  3. Efficient semidefinite branch-and-cut for MAP-MRF inference
    cdot P. Wang, C. Shen, A. van den Hengel, P. Torr.
    cdot International Journal of Computer Vision (IJCV), 2016.
    cdot arXivlinkbibtexsearch

  4. Mining mid-level visual patterns with deep CNN activations
    cdot Y. Li, L. Liu, C. Shen, A. van den Hengel.
    cdot International Journal of Computer Vision (IJCV), 2016.
    cdot arXivlinkbibtexsearchproject webpage

  5. Online unsupervised feature learning for visual tracking
    cdot F. Liu, C. Shen, I. Reid, A. van den Hengel.
    cdot Image and Vision Computing (IVC), 2016.
    cdot arXivbibtexsearch

  6. Canonical principal angles correlation analysis for two-view data
    cdot S. Wang, J. Lu, X. Gu, C. Shen, R. Xia, J. Yang.
    cdot Journal of Visual Communication and Image Representation (JVCIR), 2016.
    cdot linkbibtexsearch

  7. Face image classification by pooling raw features
    cdot F. Shen, C. Shen, X. Zhou, Y. Yang, H. Shen.
    cdot Pattern Recognition (PR), 2016.
    cdot arXivbibtexsearchproject webpage

  8. Face recognition using linear representation ensembles
    cdot H. Li, F. Shen, C. Shen, Y. Yang, Y. Gao.
    cdot Pattern Recognition (PR), 2016.
    cdot arXivlinkbibtexsearch

  9. Part-based robust tracking using online latent structured learning
    cdot R. Yao, Q. Shi, C. Shen, Y. Zhang, A. van den Hengel.
    cdot IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2016.
    cdot linkbibtexsearch

  10. Temporal pyramid pooling based convolutional neural network for action recognition
    cdot P. Wang, Y. Cao, C. Shen, L. Liu, H. Shen.
    cdot IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2016.
    cdot arXivbibtexsearch

  11. Dictionary learning for promoting structured sparsity in hyerpsectral compressive sensing
    cdot L. Zhang, W. Wei, Y. Zhang, C. Shen, A. van den Hengel, Q. Shi.
    cdot IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2016.
    cdot bibtexsearch

  12. Fast detection of multiple objects in traffic scenes with a common detection framework
    cdot Q. Hu, S. Paisitkriangkrai, C. Shen, A. van den Hengel, F. Porikli.
    cdot IEEE Transactions on Intelligent Transportation Systems (TITS), 2016.
    cdot bibtexsearch

  13. Scalable linear visual feature learning via online parallel nonnegative matrix factorization
    cdot X. Zhao, X. Li, Z. Zhang, C. Shen, L. Gao, X. Li.
    cdot IEEE Transactions on Neural Networks and Learning Systems (TNN), 2016.
    cdot linkbibtexsearch

  14. Large-scale binary quadratic optimization using semidefinite relaxation and applications
    cdot P. Wang, C. Shen, A. van den Hengel, P. Torr.
    cdot IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016.
    cdot arXivlinkbibtexsearch

  15. Pedestrian detection with spatially pooled features and structured ensemble learning
    cdot S. Paisitkriangkrai, C. Shen, A. van den Hengel.
    cdot IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016.
    cdot arXivlinkbibtexsearchproject webpage

  16. A generalized probabilistic framework for compact codebook creation
    cdot L. Liu, L. Wang, C. Shen.
    cdot IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016.
    cdot arXivlinkbibtexsearch

  17. Learning depth from single monocular images using deep convolutional neural fields
    cdot F. Liu, C. Shen, G. Lin, I. Reid.
    cdot IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016.
    cdot arXivlinkbibtexsearchproject webpage

  18. Online metric-weighted linear representations for robust visual tracking
    cdot X. Li, C. Shen, A. Dick, Z. Zhang, Y. Zhuang.
    cdot IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016.
    cdot arXivbibtexsearch

Conference

  1. Fast training of triplet-based deep binary embedding networks
    cdot B. Zhuang, G. Lin, C. Shen, I. Reid.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’16), 2016.
    cdot arXivbibtexsearchproject webpage

  2. Ask me anything: free-form visual question answering based on knowledge from external sources
    cdot Q. Wu, P. Wang, C. Shen, A. Dick, A. van den Hengel.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’16), 2016.
    cdot arXivbibtexsearch

  3. What value do explicit high level concepts have in vision to language problems
    cdot Q. Wu, C. Shen, L. Liu, A. Dick, A. van den Hengel.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’16), 2016.
    cdot arXivbibtexsearch

  4. What's wrong with that object? identifying irregular object from images by modelling the detection score distribution
    cdot P. Wang, L. Liu, C. Shen, Z. Huang, A. van den Hengel, H. Shen.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’16), 2016.
    cdot arXivbibtexsearch

  5. Less is more: zero-shot learning from online textual documents with noise suppression
    cdot R. Qiao, L. Liu, C. Shen, A. van den Hengel.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’16), 2016.
    cdot arXivbibtexsearch

  6. Efficient piecewise training of deep structured models for semantic segmentation
    cdot G. Lin, C. Shen, A. van dan Hengel, I. Reid.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’16), 2016.
    cdot arXivbibtexsearch

  7. Cluster sparsity field for hyperspectral imagery denoising
    cdot L. Zhang, W. Wei, Y. Zhang, C. Shen, A. van den Hengel, Q. Shi.
    cdot Proc. European Conference on Computer Vision (ECCV’16), 2016.
    cdot bibtexsearch

  8. Image co-localization by mimicking a good detector's confidence score distribution
    cdot Y. Li, L. Liu, C. Shen, A. van den Hengel.
    cdot Proc. European Conference on Computer Vision (ECCV’16), 2016.
    cdot arXivbibtexsearch

  9. Image restoration using very deep fully convolutional encoder-decoder networks with symmetric skip connections
    cdot X. Mao, C. Shen, Y. Yang.
    cdot Proc. Advances in Neural Information Processing Systems (NeurIPS’16), 2016.
    cdot arXivlinkbibtexsearchproject webpage

    1. Others have implemented our paper.

2015

Journal

  1. Extrinsic methods for coding and dictionary learning on Grassmann manifolds
    cdot M. Harandi, R. Hartley, C. Shen, B. Lovell, C. Sanderson.
    cdot International Journal of Computer Vision (IJCV), 2015.
    cdot arXivbibtexsearchproject webpage

  2. CRF learning with CNN features for image segmentation
    cdot F. Liu, G. Lin, C. Shen.
    cdot Pattern Recognition (PR), 2015.
    cdot arXivbibtexsearch

  3. Hashing on nonlinear manifolds
    cdot F. Shen, C. Shen, Q. Shi, A. van den Hengel, Z. Tang, H. Shen.
    cdot IEEE Transactions on Image Processing (TIP), 2015.
    cdot arXivbibtexsearchproject webpage

  4. A computational model of the short-cut rule for 2D shape decomposition
    cdot L. Luo, C. Shen, X. Liu, C. Zhang.
    cdot IEEE Transactions on Image Processing (TIP), 2015.
    cdot arXivbibtexsearch

  5. Worst-case linear discriminant analysis as scalable semidefinite feasibility problems
    cdot H. Li, C. Shen, A. van den Hengel, Q. Shi.
    cdot IEEE Transactions on Image Processing (TIP), 2015.
    cdot arXivbibtexsearchproject webpage

  6. Supervised hashing using graph cuts and boosted decision trees
    cdot G. Lin, C. Shen, A. van den Hengel.
    cdot IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015.
    cdot arXivlinkbibtexsearchproject webpage

Conference

  1. Efficient SDP inference for fully-connected CRFs based on low-rank decomposition
    cdot P. Wang, C. Shen, A. van den Hengel.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’15), 2015.
    cdot arXivbibtexsearch

  2. Learning graph structure for multi-label image classification via clique generation
    cdot M. Tan, Q. Shi, A. van den Hengel, C. Shen, J. Gao, F. Hu, Z. Zhang.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’15), 2015.
    cdot pdfbibtexsearch

  3. Supervised discrete hashing
    cdot F. Shen, C. Shen, W. Liu, H. Shen.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’15), 2015.
    cdot pdfbibtexsearchproject webpage

  4. Learning to rank in person re-identification with metric ensembles
    cdot S. Paisitkriangkrai, C. Shen, A. van den Hengel.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’15), 2015.
    cdot arXivbibtexsearch

  5. The treasure beneath convolutional layers: cross convolutional layer pooling for image classification
    cdot L. Liu, C. Shen, A. van den Hengel.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’15), 2015.
    cdot arXivbibtexsearch

  6. Deep convolutional neural fields for depth estimation from a single image
    cdot F. Liu, C. Shen, G. Lin.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’15), 2015.
    cdot arXivbibtexsearchproject webpage

  7. Mid-level deep pattern mining
    cdot Y. Li, L. Liu, C. Shen, A. van den Hengel.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’15), 2015.
    cdot arXivbibtexsearchproject webpage

  8. Depth and surface normal estimation from monocular images using regression on deep features and hierarchical CRFs
    cdot B. Li, C. Shen, Y. Dai, A. van den Hengel, M. He.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’15), 2015.
    cdot pdfbibtexsearch

  9. Hyperspectral compressive sensing using manifold-structured sparsity prior
    cdot L. Zhang, W. Wei, Y. Zhang, F. Li, C. Shen, Q. Shi.
    cdot Proc. IEEE International Conference on Computer Vision (ICCV’15), 2015.
    cdot pdfbibtexsearch

  10. Deeply learning the messages in message passing inference
    cdot G. Lin, C. Shen, I. Reid, A. van den Hengel.
    cdot Proc. Advances in Neural Information Processing Systems (NeurIPS’15), 2015.
    cdot arXivpdfbibtexsearch

  11. Sequence searching with deep-learnt depth for condition- and viewpoint-invariant route-based place recognition
    cdot M. Milford, C. Shen, S. Lowry, N. Suenderhauf, S. Shirazi, G. Lin, F. Liu, E. Pepperell, C. Lerma, B. Upcroft, I. Reid.
    cdot Proc. 6th International Workshop on Computer Vision in Vehicle Technology, in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVVT’15), 2015.
    cdot pdfbibtexsearch

    1. Best paper award (Sponsored by NVIDIA).

2014

Journal

  1. Fast approximate l_infty minimization: Speeding up robust regression
    cdot F. Shen, C. Shen, R. Hill, A. van den Hengel, Z. Tang.
    cdot Computational Statistics and Data Analysis (CSDA), 2014.
    cdot arXivbibtexsearch

  2. Multiple kernel learning in the primal for multi-modal Alzheimer's disease classification
    cdot F. Liu, L. Zhou, C. Shen, J. Yin.
    cdot IEEE Journal of Biomedical and Health Informatics (JBHI), 2014.
    cdot arXivlinkbibtexsearch

    1. Online published at IEEE: 10 October 2013.

  3. Multiple kernel clustering based on centered kernel alignment
    cdot Y. Lu, L. Wang, J. Lu, J. Yang, C. Shen.
    cdot Pattern Recognition (PR), 2014.
    cdot bibtexsearch

  4. Efficient semidefinite spectral clustering via Lagrange duality
    cdot Y. Yan, C. Shen, H. Wang.
    cdot IEEE Transactions on Image Processing (TIP), 2014.
    cdot arXivbibtexsearch

  5. Large-margin learning of compact binary image encodings
    cdot S. Paisitkriangkrai, C. Shen, A. van den Hengel.
    cdot IEEE Transactions on Image Processing (TIP), 2014.
    cdot arXivbibtexsearch

  6. Characterness: An indicator of text in the wild
    cdot Y. Li, W. Jia, C. Shen, A. van den Hengel.
    cdot IEEE Transactions on Image Processing (TIP), 2014.
    cdot arXivlinkbibtexsearchproject webpage

  7. Context-aware hypergraph construction for robust spectral clustering
    cdot X. Li, W. Hu, C. Shen, A. Dick, Z. Zhang.
    cdot IEEE Transactions on Knowledge and Data Engineering (TKDE), 2014.
    cdot arXivlinkbibtexsearch

  8. Asymmetric pruning for learning cascade detectors
    cdot S. Paisitkriangkrai, C. Shen, A. van den Hengel.
    cdot IEEE Transactions on Multimedia (TMM), 2014.
    cdot arXivlinkbibtexsearch

  9. Efficient dual approach to distance metric learning
    cdot C. Shen, J. Kim, F. Liu, L. Wang, A. van den Hengel.
    cdot IEEE Transactions on Neural Networks and Learning Systems (TNN), 2014.
    cdot arXivbibtexsearch

  10. A scalable stage-wise approach to large-margin multi-class loss based boosting
    cdot S. Paisitkriangkrai, C. Shen, A. van den Hengel.
    cdot IEEE Transactions on Neural Networks and Learning Systems (TNN), 2014.
    cdot arXivlinkpdfbibtexsearch

  11. RandomBoost: Simplified multi-class boosting through randomization
    cdot S. Paisitkriangkrai, C. Shen, Q. Shi, A. van den Hengel.
    cdot IEEE Transactions on Neural Networks and Learning Systems (TNN), 2014.
    cdot arXivlinkbibtexsearch

  12. A hierarchical word-merging algorithm with class separability measure
    cdot L. Wang, L. Zhou, C. Shen, L. Liu, H. Liu.
    cdot IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014.
    cdot pdfbibtexsearch

  13. StructBoost: Boosting methods for predicting structured output variables
    cdot C. Shen, G. Lin, A. van den Hengel.
    cdot IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014.
    cdot arXivlinkpdfbibtexsearch

Conference

  1. Fast supervised hashing with decision trees for high-dimensional data
    cdot G. Lin, C. Shen, Q. Shi, A. van den Hengel, D. Suter.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’14), 2014.
    cdot arXivlinkbibtexsearchproject webpage

  2. Strengthening the effectiveness of pedestrian detection with spatially pooled features
    cdot S. Paisitkriangkrai, C. Shen, A. van den Hengel.
    cdot Proc. European Conference on Computer Vision (ECCV’14), 2014.
    cdot arXivbibtexsearchproject webpage

  3. Optimizing ranking measures for compact binary code learning
    cdot G. Lin, C. Shen, J. Wu.
    cdot Proc. European Conference on Computer Vision (ECCV’14), 2014.
    cdot arXivbibtexsearchproject webpage

  4. Encoding high dimensional local features by sparse coding based Fisher vectors
    cdot L. Liu, C. Shen, L. Wang, A. van den Hengel, C. Wang.
    cdot Proc. Advances in Neural Information Processing Systems (NeurIPS’14), 2014.
    cdot arXivbibtexsearch

2013

Journal

  1. Training effective node classifiers for cascade classification
    cdot C. Shen, P. Wang, S. Paisitkriangkrai, A. van den Hengel.
    cdot International Journal of Computer Vision (IJCV), 2013.
    cdot arXivlinkbibtexsearch

  2. Fully corrective boosting with arbitrary loss and regularization
    cdot C. Shen, H. Li, A. van den Hengel.
    cdot Neural Networks (NN), 2013.
    cdot pdfbibtexsearch

  3. Approximate least trimmed sum of squares fitting and applications in image analysis
    cdot F. Shen, C. Shen, A. van den Hengel, Z. Tang.
    cdot IEEE Transactions on Image Processing (TIP), 2013.
    cdot linkpdfbibtexsearch

  4. Visual tracking with spatio-temporal Dempster-Shafer information fusion
    cdot X. Li, A. Dick, C. Shen, Z. Zhang, A. van den Hengel, H. Wang.
    cdot IEEE Transactions on Image Processing (TIP), 2013.
    cdot pdfbibtexsearch

  5. A survey of appearance models in visual object tracking
    cdot X. Li, W. Hu, C. Shen, Z. Zhang, A. Dick, A. van den Hengel.
    cdot ACM Transactions on Intelligent Systems and Technology (TIST), 2013.
    cdot arXivbibtexsearch

  6. Shape similarity analysis by self-tuning locally constrained mixed-diffusion
    cdot L. Luo, C. Shen, C. Zhang, A. van den Hengel.
    cdot IEEE Transactions on Multimedia (TMM), 2013.
    cdot pdfbibtexsearch

  7. Incremental learning of 3D-DCT compact representations for robust visual tracking
    cdot X. Li, A. Dick, C. Shen, A. van den Hengel, H. Wang.
    cdot IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2013.
    cdot arXivlinkpdfbibtexsearchproject webpage

Conference

  1. Part-based visual tracking with online latent structural learning
    cdot R. Yao, Q. Shi, C. Shen, Y. Zhang, A. van den Hengel.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’13), 2013.
    cdot linkpdfbibtexsearchproject webpage

  2. Bilinear programming for human activity recognition with unknown MRF graphs
    cdot Z. Wang, Q. Shi, C. Shen, A. van den Hengel.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’13), 2013.
    cdot linkpdfbibtexsearch

  3. A fast semidefinite approach to solving binary quadratic problems
    cdot P. Wang, C. Shen, A. van den Hengel.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’13), 2013.
    cdot arXivbibtexsearchproject webpage

    1. Oral presentation, 60 out of 1870 submissions.

  4. Inductive hashing on manifolds
    cdot F. Shen, C. Shen, Q. Shi, A. van den Hengel, Z. Tang.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’13), 2013.
    cdot arXivbibtexsearchproject webpage

  5. Learning compact binary codes for visual tracking
    cdot X. Li, C. Shen, A. Dick, A. van den Hengel.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’13), 2013.
    cdot linkpdfbibtexsearch

  6. Dictionary learning and sparse coding on Grassmann manifolds: an extrinsic solution
    cdot M. Harandi, C. Sanderson, C. Shen, B. Lovell.
    cdot Proc. IEEE International Conference on Computer Vision (ICCV’13), 2013.
    cdot arXivbibtexsearchproject webpage

  7. Efficient pedestrian detection by directly optimizing the partial area under the ROC curve
    cdot S. Paisitkriangkrai, C. Shen, A. van den Hengel.
    cdot Proc. IEEE International Conference on Computer Vision (ICCV’13), 2013.
    cdot arXivpdfbibtexsearch

  8. A general two-step approach to learning-based hashing
    cdot G. Lin, C. Shen, D. Suter, A. van den Hengel.
    cdot Proc. IEEE International Conference on Computer Vision (ICCV’13), 2013.
    cdot arXivbibtexsearchproject webpage

  9. Contextual hypergraph modeling for salient object detection
    cdot X. Li, Y. Li, C. Shen, A. Dick, A. van den Hengel.
    cdot Proc. IEEE International Conference on Computer Vision (ICCV’13), 2013.
    cdot arXivbibtexsearchproject webpage

  10. Extended depth-of-field via focus stacking and graph cuts
    cdot C. Zhang, J. Bastian, C. Shen, A. van den Hengel, T. Shen.
    cdot Proc. IEEE Conference on Image Processing (ICIP’13), 2013.
    cdot bibtexsearch

  11. Approximate constraint generation for efficient structured boosting
    cdot G. Lin, C. Shen, A. van den Hengel.
    cdot Proc. IEEE Conference on Image Processing (ICIP’13), 2013.
    cdot bibtexsearch

  12. Leveraging surrounding context for scene text detection
    cdot Y. Li, C. Shen, W. Jia, A. van den Hengel.
    cdot Proc. IEEE Conference on Image Processing (ICIP’13), 2013.
    cdot bibtexsearch

  13. Learning hash functions using column generation
    cdot X. Li, G. Lin, C. Shen, A. van den Hengel, A. Dick.
    cdot Proc. International Conference on Machine Learning (ICML’13), 2013.
    cdot arXivpdfbibtexsearchproject webpage

    1. Oral presentation.

2012

Journal

  1. Positive semidefinite metric learning using boosting-like algorithms
    cdot C. Shen, J. Kim, L. Wang, A. van den Hengel.
    cdot Journal of Machine Learning Research (JMLR), 2012.
    cdot arXivlinkbibtexsearchproject webpage

  2. Fast and robust object detection using asymmetric totally-corrective boosting
    cdot P. Wang, C. Shen, N. Barnes, H. Zheng.
    cdot IEEE Transactions on Neural Networks and Learning Systems (TNN), 2012.
    cdot pdfbibtexsearch

  3. UBoost: Boosting with the Universum
    cdot C. Shen, P. Wang, F. Shen, H. Wang.
    cdot IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2012.
    cdot pdfbibtexsearch

Conference

  1. Fast training of effective multi-class boosting using coordinate descent optimization
    cdot G. Lin, C. Shen, A. van den Hengel, D. Suter.
    cdot Proc. Asian Conference on Computer Vision (ACCV’12), 2012.
    cdot arXivbibtexsearch

  2. Sharing features in multi-class boosting via group sparsity
    cdot S. Paisitkriangkrai, C. Shen, A. van den Hengel.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’12), 2012.
    cdot pdfbibtexsearch

  3. Non-sparse linear representations for visual tracking with online reservoir metric learning
    cdot X. Li, C. Shen, Q. Shi, A. Dick, A. van den Hengel.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’12), 2012.
    cdot arXivpdfbibtexsearch

  4. Robust tracking with weighted online structured learning
    cdot R. Yao, Q. Shi, C. Shen, Y. Zhang, A. van den Hengel.
    cdot Proc. European Conference on Computer Vision (ECCV’12), 2012.
    cdot pdfbibtexsearch

  5. Is margin preserved after random projection?
    cdot Q. Shi, C. Shen, R. Hill, A. van den Hengel.
    cdot Proc. International Conference on Machine Learning (ICML’12), 2012.
    cdot arXivlinkbibtexsearch

    1. This work provides an analysis of margin distortion under random projections, the conditions under which margins are preserved, and presents bounds on the margin distortion.

Other

  1. Semidefinite programming (book chapter in: encyclopedia of computer vision, springer)
    cdot C. Shen, A. van den Hengel.
    cdot 2012.
    cdot bibtexsearch

2011

Journal

  1. Efficiently learning a detection cascade with sparse eigenvectors
    cdot C. Shen, S. Paisitkriangkrai, J. Zhang.
    cdot IEEE Transactions on Image Processing (TIP), 2011.
    cdot arXivlinkbibtexsearch

  2. Incremental training of a detector using online sparse eigen-decomposition
    cdot S. Paisitkriangkrai, C. Shen, J. Zhang.
    cdot IEEE Transactions on Image Processing (TIP), 2011.
    cdot arXivlinkbibtexsearch

Conference

  1. Efficiently learning a distance metric for large margin nearest neighbor classification
    cdot K. Park, C. Shen, Z. Hao, J. Kim.
    cdot Proc. AAAI Conference on Artificial Intelligence (AAAI’11), 2011.
    cdot bibtexsearch

  2. Is face recognition really a compressive sensing problem?
    cdot Q. Shi, A. Eriksson, A. van den Hengel, C. Shen.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’11), 2011.
    cdot pdfbibtexsearch

  3. A scalable dual approach to semidefinite metric learning
    cdot C. Shen, J. Kim, L. Wang.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’11), 2011.
    cdot pdfbibtexsearch

  4. A direct formulation for totally-corrective multi-class boosting
    cdot C. Shen, Z. Hao.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’11), 2011.
    cdot pdfbibtexsearch

  5. A generalized probabilistic framework for compact codebook creation
    cdot L. Liu, L. Wang, C. Shen.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’11), 2011.
    cdot pdfbibtexsearch

  6. Real-time visual tracking using compressive sensing
    cdot H. Li, C. Shen, Q. Shi.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’11), 2011.
    cdot pdfbibtexsearch

  7. Laplacian margin distribution boosting for learning from sparsely labeled data
    cdot T. Wang, X. He, C. Shen, N. Barnes.
    cdot Proc. International Conference on Digital Image Computing: Techniques and Applications (DICTA’11), 2011.
    cdot bibtexsearch

  8. On the optimality of sequential forward feature selection using class separability measure
    cdot L. Wang, C. Shen, R. Hartley.
    cdot Proc. International Conference on Digital Image Computing: Techniques and Applications (DICTA’11), 2011.
    cdot bibtexsearch

  9. Graph mode-based contextual kernels for robust SVM tracking
    cdot X. Li, A. Dick, H. Wang, C. Shen, A. van den Hengel.
    cdot Proc. IEEE International Conference on Computer Vision (ICCV’11), 2011.
    cdot pdfbibtexsearch

2010

Journal

  1. Interactive color image segmentation with linear programming
    cdot H. Li, C. Shen.
    cdot Machine Vision and Applications (MVA), 2010.
    cdot linkpdfbibtexsearch

  2. Generalized kernel-based visual tracking
    cdot C. Shen, J. Kim, H. Wang.
    cdot IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2010.
    cdot arXivlinkpdfbibtexsearchproject webpage

  3. Feature selection with redundancy-constrained class separability
    cdot L. Zhou, L. Wang, C. Shen.
    cdot IEEE Transactions on Neural Networks (TNN), 2010.
    cdot linkbibtexsearch

  4. Boosting through optimization of margin distributions
    cdot C. Shen, H. Li.
    cdot IEEE Transactions on Neural Networks (TNN), 2010.
    cdot arXivlinkbibtexsearch

  5. Scalable large-margin Mahalanobis distance metric learning
    cdot C. Shen, J. Kim, L. Wang.
    cdot IEEE Transactions on Neural Networks (TNN), 2010.
    cdot arXivlinkbibtexsearch

  6. On the dual formulation of boosting algorithms
    cdot C. Shen, H. Li.
    cdot IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2010.
    cdot arXivlinkbibtexsearch

Conference

  1. Pyramid center-symmetric local binary, trinary patterns for effective pedestrian detection
    cdot Y. Zheng, C. Shen, R. Hartley, X. Huang.
    cdot Proc. Asian Conference on Computer Vision (ACCV’10), 2010.
    cdot pdfbibtexsearch

  2. Asymmetric totally-corrective boosting for real-time object detection
    cdot P. Wang, C. Shen, N. Barnes, H. Zheng, Z. Ren.
    cdot Proc. Asian Conference on Computer Vision (ACCV’10), 2010.
    cdot bibtexsearch

    1. Oral presentation.

  3. Face detection with effective feature extraction
    cdot S. Paisitkriangkrai, C. Shen, J. Zhang.
    cdot Proc. Asian Conference on Computer Vision (ACCV’10), 2010.
    cdot bibtexsearch

  4. Totally-corrective multi-class boosting
    cdot Z. Hao, C. Shen, N. Barnes, B. Wang.
    cdot Proc. Asian Conference on Computer Vision (ACCV’10), 2010.
    cdot bibtexsearch

  5. Rapid face recognition using hashing
    cdot Q. Shi, H. Li, C. Shen.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’10), 2010.
    cdot pdfbibtexsearch

  6. Robust face recognition via accurate face alignment and sparse representation
    cdot H. Li, P. Wang, C. Shen.
    cdot Proc. International Conference on on Digital Image Computing: Techniques and Applications (DICTA’10), 2010.
    cdot bibtexsearch

  7. LACBoost and FisherBoost: optimally building cascade classifiers
    cdot C. Shen, P. Wang, H. Li.
    cdot Proc. European Conference on Computer Vision (ECCV’10), 2010.
    cdot arXivlinkbibtexsearch

  8. Improved human detection and classification in thermal images
    cdot W. Wang, J. Zhang, C. Shen.
    cdot Proc. IEEE International Conference on Image Processing (ICIP’10), 2010.
    cdot bibtexsearch

  9. Training a multi-exit cascade with linear asymmetric classification for efficient object detection
    cdot P. Wang, C. Shen, H. Zheng, Z. Ren.
    cdot Proc. IEEE International Conference on Image Processing (ICIP’10), 2010.
    cdot bibtexsearch

  10. Hippocampal shape classification using redundancy constrained feature selection
    cdot L. Zhou, L. Wang, C. Shen, N. Barnes.
    cdot Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI’10), 2010.
    cdot bibtexsearch

Other

  1. Proceedings of international conference on digital image computing: techniques and applications
    cdot J. Zhang, C. Shen, G. Geers, Q. Wu.
    cdot Editors, IEEE, 2010.
    cdot bibtexsearch

2009

Conference

  1. A variant of the trace quotient formulation for dimensionality reduction
    cdot P. Wang, C. Shen, H. Zheng, Z. Ren.
    cdot Proc. 9th Asian Conference on Computer Vision (ACCV’09), 2009.
    cdot bibtexsearch

  2. A scalable algorithm for learning a Mahalanobis distance metric
    cdot J. Kim, C. Shen, L. Wang.
    cdot Proc. 9th Asian Conference on Computer Vision (ACCV’09), 2009.
    cdot bibtexsearch

  3. Efficiently training a better visual detector with sparse eigenvectors
    cdot S. Paisitkriangkrai, C. Shen, J. Zhang.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’09), 2009.
    cdot arXivlinkbibtexsearch

  4. A two-layer night-time vehicle detector
    cdot W. Wang, C. Shen, J. Zhang, S. Paisitkriangkrai.
    cdot Proc. International Conference on Digital Image Computing - Techniques and Applications (DICTA’09), 2009.
    cdot bibtexsearch

  5. Smooth approximation of l_infty-norm for multi-view geometry
    cdot Y. Dai, H. Li, M. He, C. Shen.
    cdot Proc. International Conference on Digital Image Computing - Techniques and Applications (DICTA’09), 2009.
    cdot bibtexsearch

  6. Positive semidefinite metric learning with boosting
    cdot C. Shen, J. Kim, L. Wang, A. van den Hengel.
    cdot Proc. Advances in Neural Information Processing Systems (NeurIPS’09), 2009.
    cdot arXivpdfbibtexsearchproject webpage

2008

Journal

  1. Performance evaluation of local features in human classification and detection
    cdot S. Paisitkriangkrai, C. Shen, J. Zhang.
    cdot IET Computer Vision (IETCV), 2008.
    cdot linkpdfbibtexsearch

    1. Invited submission, special issue of DICTA2007.

  2. Supervised dimensionality reduction via sequential semidefinite programming
    cdot C. Shen, H. Li, M. Brooks.
    cdot Pattern Recognition (PR), 2008.
    cdot linkpdfbibtexsearch

  3. Fast pedestrian detection using a cascade of boosted covariance features
    cdot S. Paisitkriangkrai, C. Shen, J. Zhang.
    cdot IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2008.
    cdot linkpdfbibtexsearch

Conference

  1. Self-calibrating cameras using semidefinite programming
    cdot C. Shen, H. Li, M. Brooks.
    cdot Proc. International Conference on Digital Image Computing - Techniques and Applications (DICTA’08), 2008.
    cdot linkbibtexsearch

  2. Multi-view human motion capture with an improved deformation skin model
    cdot Y. Lu, L. Wang, R. Hartley, H. Li, C. Shen.
    cdot Proc. International Conference on Digital Image Computing - Techniques and Applications (DICTA’08), 2008.
    cdot bibtexsearch

  3. Boosting the minimum margin: LPBoost vs. AdaBoost
    cdot H. Li, C. Shen.
    cdot Proc. International Conference on Digital Image Computing - Techniques and Applications (DICTA’08), 2008.
    cdot bibtexsearch

  4. Learning cascaded reduced-set SVMs using linear programming
    cdot J. Kim, C. Shen, L. Wang.
    cdot Proc. International Conference on Digital Image Computing - Techniques and Applications (DICTA’08), 2008.
    cdot bibtexsearch

  5. A fast algorithm for creating a compact and discriminative visual codebook
    cdot L. Wang, L. Zhou, C. Shen.
    cdot Proc. European Conference on Computer Vision (ECCV’08), 2008.
    cdot linkpdfbibtexsearch

  6. Face detection from few training examples
    cdot C. Shen, S. Paisitkriangkrai, J. Zhang.
    cdot Proc. IEEE International Conference on Image Processing (ICIP’08), 2008.
    cdot linkbibtexsearch

  7. PSDBoost: matrix-generation linear programming for positive semidefinite matrices learning
    cdot C. Shen, A. Welsh, L. Wang.
    cdot Proc. Advances in Neural Information Processing Systems (NeurIPS’08), 2008.
    cdot pdfbibtexsearch

  8. Real-time pedestrian detection using a boosted multi-layer classifier
    cdot S. Paisitkriangkrai, C. Shen, J. Zhang.
    cdot Proc. 8th IEEE International Workshop on Visual Surveillance, in conjunction with European Conference on Computer Vision (ECCVW’08), 2008.
    cdot bibtexsearch

2007

Journal

  1. Fast global kernel density mode seeking: applications to localization and tracking
    cdot C. Shen, M. Brooks, A. van den Hengel.
    cdot IEEE Transactions on Image Processing (TIP), 2007.
    cdot linkpdfbibtexsearch

  2. Adaptive object tracking based on an effective appearance filter
    cdot H. Wang, D. Suter, K. Schindler, C. Shen.
    cdot IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2007.
    cdot linkpdfbibtexsearch

    1. Featured article of September issue 2007.

Conference

  1. A convex programming approach to the trace quotient problem
    cdot C. Shen, H. Li, M. Brooks.
    cdot Proc. 8th Asian Conference on Computer Vision (ACCV’07), 2007.
    cdot linkbibtexsearch

  2. Kernel-based tracking from a probabilistic viewpoint
    cdot Q. Nguyen, A. Robles-Kelly, C. Shen.
    cdot Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR’07), 2007.
    cdot linkpdfbibtexsearch

  3. Feature extraction using sequential semidefinite programming
    cdot C. Shen, H. Li, M. Brooks.
    cdot Proc. International Conference on Digital Image Computing - Techniques and Applications (DICTA’07), 2007.
    cdot linkbibtexsearch

  4. An experimental evaluation of local features for pedestrian classification
    cdot S. Paisitkriangkrai, C. Shen, J. Zhang.
    cdot Proc. International Conference on Digital Image Computing - Techniques and Applications (DICTA’07), 2007.
    cdot linkbibtexsearch

    1. Best Paper Award.

  5. Color image labelling using linear programming
    cdot H. Li, C. Shen, Z. Wen.
    cdot Proc. International Conference on Digital Image Computing - Techniques and Applications (DICTA’07), 2007.
    cdot linkbibtexsearch

  6. Object-respecting colour image segmentation: an LP approach
    cdot H. Li, C. Shen.
    cdot Proc. IEEE International Conference on Image Processing (ICIP’07), 2007.
    cdot linkbibtexsearch

2006

Conference

  1. Classification-based likelihood functions for Bayesian tracking
    cdot C. Shen, H. Li, M. Brooks.
    cdot Proc. IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS’06), 2006.
    cdot linkbibtexsearch

  2. Enhanced kernel-based tracking for monochromatic and thermographic video
    cdot Q. Nguyen, A. Robles-Kelly, C. Shen.
    cdot Proc. IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS’06), 2006.
    cdot linkbibtexsearch

  3. An LMI approach for reliable PTZ camera self-calibration
    cdot H. Li, C. Shen.
    cdot Proc. IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS’06), 2006.
    cdot linkbibtexsearch

2005

Conference

  1. Fast global kernel density mode seeking with application to localisation and tracking
    cdot C. Shen, M. Brooks, A. van den Hengel.
    cdot Proc. IEEE International Conference on Computer Vision (ICCV’05), 2005.
    cdot linkpdfbibtexsearch

    1. Oral presentation, 45 out of 1200 submissions.

  2. Visual tracking via efficient kernel discriminant subspace learning
    cdot C. Shen, A. van den Hengel, M. Brooks.
    cdot Proc. IEEE International Conference on Image Processing (ICIP’05), 2005.
    cdot linkbibtexsearch

  3. Augmented particle filtering for efficient visual tracking
    cdot C. Shen, M. Brooks, A. van den Hengel.
    cdot Proc. IEEE International Conference on Image Processing (ICIP’05), 2005.
    cdot linkbibtexsearch

  4. Adaptive over-relaxed mean shift
    cdot C. Shen, M. Brooks.
    cdot Proc. 8th International Symposium on Signal Processing and Its Applications (ISSPA’05), 2005.
    cdot linkbibtexsearch

    1. Errata: in figure 3 square marker and circle marker should be swapped.

2004

Journal

  1. Active control of radiation from a piston set in a rigid sphere
    cdot Z. Lin, J. Lu, C. Shen, X. Qiu, B. Xu.
    cdot Journal of Acoustical Society of America (JASA), 2004.
    cdot linkpdfbibtexsearch

Conference

  1. Enhanced importance sampling: unscented auxiliary particle filtering for visual tracking
    cdot C. Shen, A. van den Hengel, A. Dick, M. Brooks.
    cdot Proc. Australian Joint Conference on Artificial Intelligence (AI’04), 2004.
    cdot linkbibtexsearch

  2. 2D articulated tracking with dynamic Bayesian networks
    cdot C. Shen, A. van den Hengel, A. Dick, M. Brooks.
    cdot Proc. International Conference on Computer and Information Technology (CIT’04), 2004.
    cdot linkbibtexsearch

2003

Journal

  1. Lattice form adaptive infinite impulse response filtering algorithm for active noise control
    cdot J. Lu, C. Shen, X. Qiu, B. Xu.
    cdot Journal of Acoustical Society of America (JASA), 2003.
    cdot linkpdfbibtexsearch

Conference

  1. Probabilistic multiple cue integration for particle filter based tracking
    cdot C. Shen, A. van den Hengel, A. Dick.
    cdot Proc. International Conference on Digital Image Computing - Techniques and Applications (DICTA’03), 2003.
    cdot pdfbibtexsearch

    1. Nominated for Best Student Paper Award.