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2015 · 17 papers

Extrinsic methods for coding and dictionary learning on Grassmann manifolds

M. Harandi, R. Hartley, C. Shen, B. Lovell, C. Sanderson

Citation:
M. Harandi, R. Hartley, C. Shen, B. Lovell, C. Sanderson. Extrinsic methods for coding and dictionary learning on Grassmann manifolds. International Journal of Computer Vision. volume: 114, number: 2, pages: 113--136. 2015.

 @article{Harandi2015IJCV,
   author    = "M. Harandi and  R. Hartley and  C. Shen and  B. Lovell and  C. Sanderson",
   title     = "Extrinsic methods for coding and dictionary learning on {G}rassmann manifolds",
   journal   = "International Journal of Computer Vision",
   volume    = "114",
   number    = "2",
   pages     = "113--136",
   year      = "2015",
 }

CRF learning with CNN features for image segmentation

F. Liu, G. Lin, C. Shen

Citation:
F. Liu, G. Lin, C. Shen. CRF learning with CNN features for image segmentation. Pattern Recognition. volume: 48, number: 10, pages: 2983--2992. 2015.

 @article{Liu2015CRFPR,
   author    = "F. Liu and  G. Lin and  C. Shen",
   title     = "{CRF} learning with {CNN} features for image segmentation",
   journal   = "Pattern Recognition",
   volume    = "48",
   number    = "10",
   pages     = "2983--2992",
   year      = "2015",
 }

Hashing on nonlinear manifolds

F. Shen, C. Shen, Q. Shi, A. van den Hengel, Z. Tang, H. Shen

Citation:
F. Shen, C. Shen, Q. Shi, A. van den Hengel, Z. Tang, H. Shen. Hashing on nonlinear manifolds. IEEE Transactions on Image Processing. volume: 24, number: 6, pages: 1839--1851. 2015.

 @article{Hashing2015Shen,
   author    = "F. Shen and  C. Shen and  Q. Shi and  A. {van den Hengel} and  Z. Tang and  H. Shen",
   title     = "Hashing on nonlinear manifolds",
   journal   = "IEEE Transactions on Image Processing",
   volume    = "24",
   number    = "6",
   pages     = "1839--1851",
   year      = "2015",
 }

Worst-case linear discriminant analysis as scalable semidefinite feasibility problems

H. Li, C. Shen, A. van den Hengel, Q. Shi

Citation:
H. Li, C. Shen, A. van den Hengel, Q. Shi. Worst-case linear discriminant analysis as scalable semidefinite feasibility problems. IEEE Transactions on Image Processing. volume: 24, number: 8, pages: 2382--2392. 2015.

 @article{SDP2015Li,
   author    = "H. Li and  C. Shen and  A. {van den Hengel} and  Q. Shi",
   title     = "Worst-case linear discriminant analysis as scalable semidefinite feasibility problems",
   journal   = "IEEE Transactions on Image Processing",
   volume    = "24",
   number    = "8",
   pages     = "2382--2392",
   year      = "2015",
 }

A computational model of the short-cut rule for 2D shape decomposition

L. Luo, C. Shen, X. Liu, C. Zhang

Citation:
L. Luo, C. Shen, X. Liu, C. Zhang. A computational model of the short-cut rule for 2D shape decomposition. IEEE Transactions on Image Processing. volume: 24, number: 1, 2015.

 @article{TIP2014Shortcut,
   author    = "L. Luo and  C. Shen and  X. Liu and  C. Zhang",
   title     = "A computational model of the short-cut rule for {2D} shape decomposition",
   journal   = "IEEE Transactions on Image Processing",
   volume    = "24",
   number    = "1",
   year      = "2015",
 }

Supervised hashing using graph cuts and boosted decision trees

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

Citation:
G. Lin, C. Shen, A. van den Hengel. Supervised hashing using graph cuts and boosted decision trees. IEEE Transactions on Pattern Analysis and Machine Intelligence. volume: 37, number: 11, pages: 2317--2331. 2015.

 @article{FastHash2015Lin,
   author    = "G. Lin and  C. Shen and  A. {van den Hengel}",
   title     = "Supervised hashing using graph cuts and boosted decision trees",
   journal   = "IEEE Transactions on Pattern Analysis and Machine Intelligence",
   volume    = "37",
   number    = "11",
   pages     = "2317--2331",
   url       = "http://dx.doi.org/10.1109/TPAMI.2015.2404776",
   year      = "2015",
 }

Mid-level deep pattern mining

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

Citation:
Y. Li, L. Liu, C. Shen, A. van den Hengel. Mid-level deep pattern mining. IEEE Conference on Computer Vision and Pattern Recognition (CVPR'15). 2015.

 @inproceedings{CVPR15a,
   author    = "Y. Li and  L. Liu and  C. Shen and  A. {van den Hengel}",
   title     = "Mid-level deep pattern mining",
   booktitle = "IEEE Conference on Computer Vision and Pattern Recognition (CVPR'15)",
   year      = "2015",
 }

Deep convolutional neural fields for depth estimation from a single image

F. Liu, C. Shen, G. Lin

Citation:
F. Liu, C. Shen, G. Lin. Deep convolutional neural fields for depth estimation from a single image. IEEE Conference on Computer Vision and Pattern Recognition (CVPR'15). 2015.

 @inproceedings{CVPR15b,
   author    = "F. Liu and  C. Shen and  G. Lin",
   title     = "Deep convolutional neural fields for depth estimation from a single image",
   booktitle = "IEEE Conference on Computer Vision and Pattern Recognition (CVPR'15)",
   year      = "2015",
 }

Supervised discrete hashing

F. Shen, C. Shen, W. Liu, H. Shen

Citation:
F. Shen, C. Shen, W. Liu, H. Shen. Supervised discrete hashing. IEEE Conference on Computer Vision and Pattern Recognition (CVPR'15). 2015.

 @inproceedings{CVPR15c,
   author    = "F. Shen and  C. Shen and  W. Liu and  H. Shen",
   title     = "Supervised discrete hashing",
   booktitle = "IEEE Conference on Computer Vision and Pattern Recognition (CVPR'15)",
   year      = "2015",
 }

The treasure beneath convolutional layers: cross convolutional layer pooling for image classification

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

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

 @inproceedings{CVPR15d,
   author    = "L. Liu and  C. Shen and  A. {van den Hengel}",
   title     = "The treasure beneath convolutional layers: cross convolutional layer pooling for image classification",
   booktitle = "IEEE Conference on Computer Vision and Pattern Recognition (CVPR'15)",
   year      = "2015",
 }

Efficient SDP inference for fully-connected CRFs based on low-rank decomposition

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

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

 @inproceedings{CVPR15e,
   author    = "P. Wang and  C. Shen and  A. {van den Hengel}",
   title     = "Efficient {SDP} inference for fully-connected {CRFs} based on low-rank decomposition",
   booktitle = "IEEE Conference on Computer Vision and Pattern Recognition (CVPR'15)",
   year      = "2015",
 }

Learning to rank in person re-identification with metric ensembles

S. Paisitkriangkrai, C. Shen, A. van den Hengel

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

 @inproceedings{CVPR15f,
   author    = "S. Paisitkriangkrai and  C. Shen and  A. {van den Hengel}",
   title     = "Learning to rank in person re-identification with metric ensembles",
   booktitle = "IEEE Conference on Computer Vision and Pattern Recognition (CVPR'15)",
   year      = "2015",
 }

Learning graph structure for multi-label image classification via clique generation

M. Tan, Q. Shi, A. van den Hengel, C. Shen, J. Gao, F. Hu, Z. Zhang

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

 @inproceedings{CVPR15g,
   author    = "M. Tan and  Q. Shi and  A. {van den Hengel} and  C. Shen and  J. Gao and  F. Hu and  Z. Zhang",
   title     = "Learning graph structure for multi-label image classification via clique generation",
   booktitle = "IEEE Conference on Computer Vision and Pattern Recognition (CVPR'15)",
   year      = "2015",
 }

Depth and surface normal estimation from monocular images using regression on deep features and hierarchical CRFs

B. Li, C. Shen, Y. Dai, A. van den Hengel, M. He

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

 @inproceedings{CVPR15h,
   author    = "B. Li and  C. Shen and  Y. Dai and  A. {van den Hengel} and  M. He",
   title     = "Depth and surface normal estimation from monocular images using regression on deep features and hierarchical {CRFs}",
   booktitle = "IEEE Conference on Computer Vision and Pattern Recognition (CVPR'15)",
   year      = "2015",
 }

Hyperspectral compressive sensing using manifold-structured sparsity prior

L. Zhang, W. Wei, Y. Zhang, F. Li, C. Shen, Q. Shi

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

 @inproceedings{ICCV15Zhang,
   author    = "L. Zhang and  W. Wei and  Y. Zhang and  F. Li and  C. Shen and  Q. Shi",
   title     = "Hyperspectral compressive sensing using manifold-structured sparsity prior",
   booktitle = "IEEE International Conference on Computer Vision (ICCV'15)",
   year      = "2015",
 }

Deeply learning the messages in message passing inference

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

Citation:
G. Lin, C. Shen, I. Reid, A. van den Hengel. Deeply learning the messages in message passing inference. Advances in Neural Information Processing Systems (NIPS'15). 2015.

 @inproceedings{NIPS15Lin,
   author    = "G. Lin and  C. Shen and  I. Reid and  A. {van den Hengel}",
   title     = "Deeply learning the messages in message passing inference",
   booktitle = "Advances in Neural Information Processing Systems (NIPS'15)",
   year      = "2015",
 }

Sequence searching with deep-learnt depth for condition- and viewpoint-invariant route-based place recognition

M. Milford, C. Shen, S. Lowry, N. Suenderhauf, S. Shirazi, G. Lin, F. Liu, E. Pepperell, C. Lerma, B. Upcroft, I. Reid

Citation:
M. Milford, C. Shen, S. Lowry, N. Suenderhauf, S. Shirazi, G. Lin, F. Liu, E. Pepperell, C. Lerma, B. Upcroft, I. Reid. Sequence searching with deep-learnt depth for condition- and viewpoint-invariant route-based place recognition. 6th International Workshop on Computer Vision in Vehicle Technology, in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVVT'15). 2015.
[Best paper award (Sponsored by NVIDIA)]

 @inproceedings{CVPR15workshop,
   author    = "M. Milford and  C. Shen and  S. Lowry and  N. Suenderhauf and  S. Shirazi and  G. Lin and  F. Liu and  E. Pepperell and  C. Lerma and  B. Upcroft and  I. Reid",
   title     = "Sequence searching with deep-learnt depth for condition- and viewpoint-invariant route-based place recognition",
   booktitle = "6th International Workshop on Computer Vision in Vehicle Technology, in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVVT'15)",
   year      = "2015",
 }