Binary Multi-View Clustering Z Zhang, L Liu, F Shen, H Shen, L Shao Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2018 | 509 | 2018 |
Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Y Xu, F Shen, L Liu, Y Yang, Z Huang, H Shen IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2018 | 368* | 2018 |
Learning discriminative representations from RGB-D video data L Liu, L Shao Twenty-third international joint conference on artificial intelligence, 2013 | 358 | 2013 |
Feature learning for image classification via multiobjective genetic programming L Shao, L Liu, X Li IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 25 (7 …, 2014 | 311 | 2014 |
Attentive region embedding network for zero-shot learning GS Xie, L Liu, X Jin, F Zhu, Z Zhang, J Qin, Y Yao, L Shao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 298 | 2019 |
Deep Sketch Hashing: Fast Free-hand Sketch-Based Image Retrieval L Liu, F Shen, Y Shen, X Liu, L Shao IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 296 | 2017 |
Collaborative learning of semi-supervised segmentation and classification for medical images Y Zhou, X He, L Huang, L Liu, F Zhu, S Cui, L Shao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 266 | 2019 |
Ranet: Ranking attention network for fast video object segmentation Z Wang, J Xu, L Liu, F Zhu, L Shao Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 245 | 2019 |
Normalization techniques in training dnns: Methodology, analysis and application L Huang, J Qin, Y Zhou, F Zhu, L Liu, L Shao IEEE transactions on pattern analysis and machine intelligence 45 (8), 10173 …, 2023 | 234 | 2023 |
Star: A structure and texture aware retinex model J Xu, Y Hou, D Ren, L Liu, F Zhu, M Yu, H Wang, L Shao IEEE Transactions on Image Processing 29, 5022-5037, 2020 | 233 | 2020 |
Learning Spatio-Temporal Representations for Action Recognition: A Genetic Programming Approach L Liu, L Shao, X Li, K Lu IEEE Transactions on Cybernetics (TCYB), 2015 | 227 | 2015 |
Pyramidal convolution: Rethinking convolutional neural networks for visual recognition IC Duta, L Liu, F Zhu, L Shao arXiv preprint arXiv:2006.11538, 2020 | 196 | 2020 |
Quantization-based Hashing: A General Framework for Scalable Image and Video Retrieval J Song, L Gao, L Liu, X Zhu, N Sebe Pattern Recognition (PR), 2017 | 194 | 2017 |
RGB-D datasets using microsoft kinect or similar sensors: a survey Z Cai, J Han, L Liu, L Shao Multimedia Tools and Applications, 2016 | 190 | 2016 |
Noisy-as-clean: Learning self-supervised denoising from corrupted image J Xu, Y Huang, MM Cheng, L Liu, F Zhu, Z Xu, L Shao IEEE Transactions on Image Processing 29, 9316-9329, 2020 | 178 | 2020 |
Zero-Shot Action Recognition with Error-Correcting Output Codes J Qin, L Liu, L Shao, F Shen, B Ni, JI Chen, Y Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 176 | 2017 |
Multiview alignment hashing for efficient image search L Liu, M Yu, L Shao IEEE Transactions on Image Processing (TIP) 24 (3), 956-966, 2015 | 176 | 2015 |
From Zero-shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis Y Long, L Liu, F Shen, J Han, G Ding, L Shao IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 173 | 2017 |
Zero-Shot Sketch-Image Hashing Y Shen, L Liu, F Shen, L Shao IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 170 | 2018 |
Improved residual networks for image and video recognition IC Duta, L Liu, F Zhu, L Shao 2020 25th International Conference on Pattern Recognition (ICPR), 9415-9422, 2021 | 163 | 2021 |