| Preview | Issue Date | Title | Author(s) |
| 2015 | A unified feature selection framework for graph embedding on high dimensional data | Chen, M.; Tsang, I.; Tan, M.; Cham, T. |
| 2016 | Blind image deconvolution by automatic gradient activation | Gong, D.; Tan, M.; Zhang, Y.; Van Den Hengel, A.; Shi, Q.; 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) (26 Jun 2016 - 1 Jul 2016 : Las Vegas, NV) |
| 2021 | Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations | Zhuang, B.; Tan, M.; Liu, J.; Liu, L.; Reid, I.; Shen, C. |
| 2016 | Efficient orthogonal non-negative matrix factorization over stiefel manifold | Zhang, W.; Tan, M.; Sheng, Q.; Yao, L.; Shi, Q.; ACM International Conference on Information and Knowledge Management (CIKM '16) (24 Oct 2016 - 28 Oct 2016 : Indianapolis, IN, USA) |
| 2015 | Learning graph structure for multi-label image classification via clique generation | Tan, M.; Shi, Q.; Van Den Hengel, A.; Shen, C.; Gao, J.; Hu, F.; Zhang, Z.; IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (7 Jun 2015 - 12 Jun 2015 : Boston, MA) |
| 2016 | Learning sparse confidence-weighted classifier on very high dimensional data | Tan, M.; Yan, Y.; Wang, L.; Van Den Hengel, A.; Tsang, I.; Shi, Q.; 30th AAAI Conference on Artificial Intelligence (AAAI) (12 Feb 2016 - 17 Feb 2016 : Phoenix, AZ) |
| 2015 | Matching pursuit LASSO part I: sparse recovery over big dictionary | Tan, M.; Tsang, I.; Wang, L. |
| 2015 | Matching pursuit LASSO part II: applications and sparse recovery over batch signals | Tan, M.; Tsang, I.; Wang, L. |
| 2021 | Modular graph attention network for complex visual relational reasoning | Zheng, Y.; Wen, Z.; Tan, M.; Zeng, R.; Chen, Q.; Wang, Y.; Wu, Q.; Asian Conference on Computer Vision (ACCV) (30 Nov 2020 - 4 Dec 2020 : virtual online) |
| 2016 | Proximal riemannian pursuit for large-scale trace-norm minimization | Tan, M.; Xiao, S.; Gao, J.; Xu, D.; Van Den Hengel, A.; Shi, Q.; 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) (26 Jun 2016 - 1 Jul 2016 : Las Vegas, NV) |
| 2015 | Scalable maximum margin matrix factorization by active Riemannian subspace search | Yan, Y.; Tan, M.; Tsang, I.; Yang, Y.; Zhang, C.; Shi, Q.; Yang, Q.; Wooldridge, M.; Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI) (25 Jul 2015 - 31 Jul 2015 : Buenos Aires, Argentina) |
| 2017 | Self-paced kernel estimation for robust blind image deblurring | Gong, D.; Tan, M.; Zhang, Y.; Hengel, A.; Shi, Q.; IEEE International Conference on Computer Vision (ICCV 2017) (22 Oct 2017 - 29 Oct 2017 : Venice, ITALY) |
| 2019 | Structured binary neural networks for accurate image classification and semantic segmentation | Zhuang, B.; Shen, C.; Tan, M.; Liu, L.; Reid, I.; IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (15 Jun 2019 - 20 Jun 2019 : Long Beach, USA) |
| 2018 | Towards effective low-bitwidth convolutional neural networks | Zhuang, B.; Shen, C.; Tan, M.; Liu, L.; Reid, I.; IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (18 Jun 2018 - 23 Jun 2018 : Salt Lake City, USA) |
| 2014 | Weighted block-sparse low rank representation for face clustering in videos | Xiao, S.; Tan, M.; Xu, D.; Fleet, D.; Pajdla, T.; Schiele, B.; Tuytelaars, T.; European Conference on Computer Vision (ECCV) (6 Sep 2014 - 12 Sep 2014 : Zurich, Switzerland) |
