2017 · 30 papers

Structured learning of binary codes with column generation for optimizing ranking measures

G. Lin, F. Liu, C. Shen, J. Wu, H. Shen

Citation:
G. Lin, F. Liu, C. Shen, J. Wu, H. Shen. Structured learning of binary codes with column generation for optimizing ranking measures. International Journal of Computer Vision. 2017.

 @article{IJCV2017Lin,
   author    = "G. Lin and  F. Liu and  C. Shen and  J. Wu and  H. Shen",
   title     = "Structured learning of binary codes with column generation for optimizing ranking measures",
   journal   = "International Journal of Computer Vision",
   year      = "2017",
 }

Removal of optically thick clouds from high-resolution satellite imagery using dictionary group learning and interdictionary nonlocal joint sparse coding

Y. Li, W. Li, C. Shen

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

 @article{Li2017Removal,
   author    = "Y. Li and  W. Li and  C. Shen",
   title     = "Removal of optically thick clouds from high-resolution satellite imagery using dictionary group learning and interdictionary nonlocal joint sparse coding",
   journal   = "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing",
   year      = "2017",
 }

Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition

R. Qiao, L. Liu, C. Shen, A. van den Hengel

Citation:
R. Qiao, L. Liu, C. Shen, A. van den Hengel. Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition. Pattern Recognition. 2017.

 @article{PR2017Qiao,
   author    = "R. Qiao and  L. Liu and  C. Shen and  A. {van den Hengel}",
   title     = "Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition",
   journal   = "Pattern Recognition",
   year      = "2017",
 }

Deep linear discriminant analysis on Fisher networks: a hybrid architecture for person re-identification

L. Wu, C. Shen, A. van den Hengel

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

 @article{Wu2017PR,
   author    = "L. Wu and  C. Shen and  A. {van den Hengel}",
   title     = "Deep linear discriminant analysis on {F}isher networks: a hybrid architecture for person re-identification",
   journal   = "Pattern Recognition",
   year      = "2017",
 }

Pushing the limits of deep CNNs for pedestrian detection

Q. Hu, P. Wang, C. Shen, A. van den Hengel, F. Porikli

Citation:
Q. Hu, P. Wang, C. Shen, A. van den Hengel, F. Porikli. Pushing the limits of deep CNNs for pedestrian detection. IEEE Transactions on Circuits and Systems for Video Technology. 2017.

 @article{TCSVT2017Hu,
   author    = "Q. Hu and  P. Wang and  C. Shen and  A. {van den Hengel} and  F. Porikli",
   title     = "Pushing the limits of deep {CNNs} for pedestrian detection",
   journal   = "IEEE Transactions on Circuits and Systems for Video Technology",
   year      = "2017",
 }

Crowd counting via weighted VLAD on dense attribute feature maps

B. Sheng, C. Shen, G. Lin, J. Li, W. Yang, C. Sun

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

 @article{TCSVT2017Sheng,
   author    = "B. Sheng and  C. Shen and  G. Lin and  J. Li and  W. Yang and  C. Sun",
   title     = "Crowd counting via weighted {VLAD} on dense attribute feature maps",
   journal   = "IEEE Transactions on Circuits and Systems for Video Technology",
   year      = "2017",
 }

Discriminative training of deep fully-connected continuous CRF with task-specific loss

F. Liu, G. Lin, C. Shen

Citation:
F. Liu, G. Lin, C. Shen. Discriminative training of deep fully-connected continuous CRF with task-specific loss. IEEE Transactions on Image Processing. 2017.

 @article{TIP2017Liu,
   author    = "F. Liu and  G. Lin and  C. Shen",
   title     = "Discriminative training of deep fully-connected continuous {CRF} with task-specific loss",
   journal   = "IEEE Transactions on Image Processing",
   year      = "2017",
 }

Exploiting depth from single monocular images for object detection and semantic segmentation

Y. Cao, C. Shen, H. Shen

Citation:
Y. Cao, C. Shen, H. Shen. Exploiting depth from single monocular images for object detection and semantic segmentation. IEEE Transactions on Image Processing. 2017.

 @article{TIP2016Cao,
   author    = "Y. Cao and  C. Shen and  H. Shen",
   title     = "Exploiting depth from single monocular images for object detection and semantic segmentation",
   journal   = "IEEE Transactions on Image Processing",
   year      = "2017",
 }

Deep CNNs with spatially weighted pooling for fine-grained car recognition

Q. Hu, H. Wang, T. Li, C. Shen

Citation:
Q. Hu, H. Wang, T. Li, C. Shen. Deep CNNs with spatially weighted pooling for fine-grained car recognition. IEEE Transactions on Intelligent Transportation Systems. 2017.

 @article{SWP2017Hu,
   author    = "Q. Hu and  H. Wang and  T. Li and  C. Shen",
   title     = "Deep {CNNs} with spatially weighted pooling for fine-grained car recognition",
   journal   = "IEEE Transactions on Intelligent Transportation Systems",
   year      = "2017",
 }

Structured learning of tree potentials in CRF for image segmentation

F. Liu, G. Lin, R. Qiao, C. Shen

Citation:
F. Liu, G. Lin, R. Qiao, C. Shen. Structured learning of tree potentials in CRF for image segmentation. IEEE Transactions on Neural Networks and Learning Systems. 2017.

 @article{TNNLS2017Liu,
   author    = "F. Liu and  G. Lin and  R. Qiao and  C. Shen",
   title     = "Structured learning of tree potentials in {CRF} for image segmentation",
   journal   = "IEEE Transactions on Neural Networks and Learning Systems",
   year      = "2017",
 }

Exploring context with deep structured models for semantic segmentation

G. Lin, C. Shen, A. van den Hengel, I. Reid

Citation:
G. Lin, C. Shen, A. van den Hengel, I. Reid. Exploring context with deep structured models for semantic segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2017.

 @article{Lin2017Semantic,
   author    = "G. Lin and  C. Shen and  A. {van den Hengel} and  I. Reid",
   title     = "Exploring context with deep structured models for semantic segmentation",
   journal   = "IEEE Transactions on Pattern Analysis and Machine Intelligence",
   year      = "2017",
 }

Image captioning and visual question answering based on attributes and external knowledge

Q. Wu, C. Shen, A. van den Hengel, P. Wang, A. Dick

Citation:
Q. Wu, C. Shen, A. van den Hengel, P. Wang, A. Dick. Image captioning and visual question answering based on attributes and external knowledge. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2017.

 @article{Wu2017External,
   author    = "Q. Wu and  C. Shen and  A. {van den Hengel} and  P. Wang and  A. Dick",
   title     = "Image captioning and visual question answering based on attributes and external knowledge",
   journal   = "IEEE Transactions on Pattern Analysis and Machine Intelligence",
   year      = "2017",
 }

Compositional model based Fisher vector coding for image classification

L. Liu, P. Wang, C. Shen, L. Wang, A. van den Hengel, C. Wang, H. Shen

Citation:
L. Liu, P. Wang, C. Shen, L. Wang, A. van den Hengel, C. Wang, H. Shen. Compositional model based Fisher vector coding for image classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2017.

 @article{TPAMI2017Liu,
   author    = "L. Liu and  P. Wang and  C. Shen and  L. Wang and  A. {van den Hengel} and  C. Wang and  H. Shen",
   title     = "Compositional model based {F}isher vector coding for image classification",
   journal   = "IEEE Transactions on Pattern Analysis and Machine Intelligence",
   year      = "2017",
 }

Cross-convolutional-layer pooling for image recognition

L. Liu, C. Shen, A. van den Hengel

Citation:
L. Liu, C. Shen, A. van den Hengel. Cross-convolutional-layer pooling for image recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2017.

 @article{Cross2017Liu,
   author    = "L. Liu and  C. Shen and  A. {van den Hengel}",
   title     = "Cross-convolutional-layer pooling for image recognition",
   journal   = "IEEE Transactions on Pattern Analysis and Machine Intelligence",
   year      = "2017",
 }

Visually aligned word embeddings for improving zero-shot learning

R. Qiao, L. Liu, C. Shen, A. van den Hengel

Citation:
R. Qiao, L. Liu, C. Shen, A. van den Hengel. Visually aligned word embeddings for improving zero-shot learning. British Machine Vision Conference (BMVC'17). 2017.

 @inproceedings{BMVC17Zeroshot,
   author    = "R. Qiao and  L. Liu and  C. Shen and  A. {van den Hengel}",
   title     = "Visually aligned word embeddings for improving zero-shot learning",
   booktitle = "British Machine Vision Conference (BMVC'17)",
   year      = "2017",
 }

Weakly supervised semantic segmentation based on co-segmentation

T. Shen, G. Lin, L. Liu, C. Shen, I. Reid

Citation:
T. Shen, G. Lin, L. Liu, C. Shen, I. Reid. Weakly supervised semantic segmentation based on co-segmentation. British Machine Vision Conference (BMVC'17). 2017.

 @inproceedings{BMVC2017Tong,
   author    = "T. Shen and  G. Lin and  L. Liu and  C. Shen and  I. Reid",
   title     = "Weakly supervised semantic segmentation based on co-segmentation",
   booktitle = "British Machine Vision Conference (BMVC'17)",
   year      = "2017",
 }

The VQA-machine: learning how to use existing vision algorithms to answer new questions

P. Wang, Q. Wu, C. Shen, A. van den Hengel

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

 @inproceedings{CVPR2017WangVQA,
   author    = "P. Wang and  Q. Wu and  C. Shen and  A. {van den Hengel}",
   title     = "The {VQA}-machine: learning how to use existing vision algorithms to answer new questions",
   booktitle = "IEEE Conference on Computer Vision and Pattern Recognition (CVPR'17)",
   year      = "2017",
 }

RefineNet: multi-path refinement networks for high-resolution semantic segmentation

G. Lin, A. Milan, C. Shen, I. Reid

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

 @inproceedings{CVPR2017Lin,
   author    = "G. Lin and  A. Milan and  C. Shen and  I. Reid",
   title     = "{RefineNet}: multi-path refinement networks for high-resolution semantic segmentation",
   booktitle = "IEEE Conference on Computer Vision and Pattern Recognition (CVPR'17)",
   year      = "2017",
 }

Sequential person recognition in photo albums with a recurrent network

Y. Li, G. Lin, B. Zhuang, L. Liu, C. Shen, A. van den Hengel

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

 @inproceedings{CVPR2017YaoLi,
   author    = "Y. Li and  G. Lin and  B. Zhuang and  L. Liu and  C. Shen and  A. {van den Hengel}",
   title     = "Sequential person recognition in photo albums with a recurrent network",
   booktitle = "IEEE Conference on Computer Vision and Pattern Recognition (CVPR'17)",
   year      = "2017",
 }

From motion blur to motion flow: a deep learning solution for removing heterogeneous motion blur

D. Gong, J. Yang, L. Liu, Y. Zhang, I. Reid, C. Shen, A. van den Hengel, Q. Shi

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

 @inproceedings{CVPR2017Gong,
   author    = "D. Gong and  J. Yang and  L. Liu and  Y. Zhang and  I. Reid and  C. Shen and  A. {van den Hengel} and  Q. Shi",
   title     = "From motion blur to motion flow: a deep learning solution for removing heterogeneous motion blur",
   booktitle = "IEEE Conference on Computer Vision and Pattern Recognition (CVPR'17)",
   year      = "2017",
 }

Attend in groups: a weakly-supervised deep learning framework for learning from web data

B. Zhuang, L. Liu, C. Shen, I. Reid

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

 @inproceedings{CVPR2017Zhuang,
   author    = "B. Zhuang and  L. Liu and  C. Shen and  I. Reid",
   title     = "Attend in groups: a weakly-supervised deep learning framework for learning from web data",
   booktitle = "IEEE Conference on Computer Vision and Pattern Recognition (CVPR'17)",
   year      = "2017",
 }

Multi-attention network for one shot learning

P. Wang, L. Liu, C. Shen, Z. Huang, A. van den Hengel, H. Shen

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

 @inproceedings{CVPR2017WangAttend,
   author    = "P. Wang and  L. Liu and  C. Shen and  Z. Huang and  A. {van den Hengel} and  H. Shen",
   title     = "Multi-attention network for one shot learning",
   booktitle = "IEEE Conference on Computer Vision and Pattern Recognition (CVPR'17)",
   year      = "2017",
 }

When unsupervised domain adaptation meets tensor representations

H. Lu, L. Zhang, Z. Cao, W. Wei, K. Xian, C. Shen, A. van den Hengel

Citation:
H. Lu, L. Zhang, Z. Cao, W. Wei, K. Xian, C. Shen, A. van den Hengel. When unsupervised domain adaptation meets tensor representations. International Conference on Computer Vision (ICCV'17). 2017.

 @inproceedings{ICCV2017Haolu,
   author    = "H. Lu and  L. Zhang and  Z. Cao and  W. Wei and  K. Xian and  C. Shen and  A. {van den Hengel}",
   title     = "When unsupervised domain adaptation meets tensor representations",
   booktitle = "International Conference on Computer Vision (ICCV'17)",
   year      = "2017",
 }

Towards context-aware interaction recognition

B. Zhuang, L. Liu, C. Shen, I. Reid

Citation:
B. Zhuang, L. Liu, C. Shen, I. Reid. Towards context-aware interaction recognition. International Conference on Computer Vision (ICCV'17). 2017.

 @inproceedings{ICCV2017Zhuang,
   author    = "B. Zhuang and  L. Liu and  C. Shen and  I. Reid",
   title     = "Towards context-aware interaction recognition",
   booktitle = "International Conference on Computer Vision (ICCV'17)",
   year      = "2017",
 }

Adversarial PoseNet: a structure-aware convolutional network for human pose estimation

Y. Chen, C. Shen, X. Wei, L. Liu, J. Yang

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

 @inproceedings{ICCV2017Chen,
   author    = "Y. Chen and  C. Shen and  X. Wei and  L. Liu and  J. Yang",
   title     = "Adversarial {PoseNet}: a structure-aware convolutional network for human pose estimation",
   booktitle = "International Conference on Computer Vision (ICCV'17)",
   year      = "2017",
 }

Semi-global weighted least squares in image filtering

W. Liu, X. Chen, C. Shen, Z. Liu, J. Yang

Citation:
W. Liu, X. Chen, C. Shen, Z. Liu, J. Yang. Semi-global weighted least squares in image filtering. International Conference on Computer Vision (ICCV'17). 2017.

 @inproceedings{ICCV2017WeiLiu,
   author    = "W. Liu and  X. Chen and  C. Shen and  Z. Liu and  J. Yang",
   title     = "Semi-global weighted least squares in image filtering",
   booktitle = "International Conference on Computer Vision (ICCV'17)",
   year      = "2017",
 }

Towards end-to-end text spotting with convolutional recurrent neural networks

H. Li, P. Wang, C. Shen

Citation:
H. Li, P. Wang, C. Shen. Towards end-to-end text spotting with convolutional recurrent neural networks. International Conference on Computer Vision (ICCV'17). 2017.

 @inproceedings{ICCV2017HuiLi,
   author    = "H. Li and  P. Wang and  C. Shen",
   title     = "Towards end-to-end text spotting with convolutional recurrent neural networks",
   booktitle = "International Conference on Computer Vision (ICCV'17)",
   year      = "2017",
 }

Learning multi-level region consistency with dense multi-label networks for semantic segmentation

T. Shen, G. Lin, C. Shen, I. Reid

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

 @inproceedings{IJCAI2017Tong,
   author    = "T. Shen and  G. Lin and  C. Shen and  I. Reid",
   title     = "Learning multi-level region consistency with dense multi-label networks for semantic segmentation",
   booktitle = "International Joint Conference on Artificial Intelligence (IJCAI'17)",
   year      = "2017",
 }

Deep descriptor transforming for image co-localization

X. Wei, C. Zhang, Y. Li, C. Xie, J. Wu, C. Shen, Z. Zhou

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

 @inproceedings{IJCAI2017Wei,
   author    = "X. Wei and  C. Zhang and  Y. Li and  C. Xie and  J. Wu and  C. Shen and  Z. Zhou",
   title     = "Deep descriptor transforming for image co-localization",
   booktitle = "International Joint Conference on Artificial Intelligence (IJCAI'17)",
   year      = "2017",
 }

Explicit knowledge-based reasoning for visual question answering

P. Wang, Q. Wu, C. Shen, A. van den Hengel, A. Dick

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

 @inproceedings{IJCAI2017Wang,
   author    = "P. Wang and  Q. Wu and  C. Shen and  A. {van den Hengel} and  A. Dick",
   title     = "Explicit knowledge-based reasoning for visual question answering",
   booktitle = "International Joint Conference on Artificial Intelligence (IJCAI'17)",
   year      = "2017",
 }