Journal Papers
- Hao Liu, Jiwen Lu, Minghao Guo, Suping Wu, and Jie Zhou, Learning Reasoning-Decision Networks for Robust Face Alignment, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 42, no. 3, pp. 679-693, 2020.
- Venice Erin Liong, Jiwen Lu, Lin-Yu Duan, and Yap-Peng Tan, Deep Variational and Structural Hashing, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 42, no. 3, pp. 580-595, 2020.
- Yueqi Duan, Jiwen Lu, Wenzhao Zheng and Jie Zhou, Deep Adversarial Metric Learning, IEEE Transactions on Image Processing, vol. 29, no. 1, pp. 2037-2051, 2020.
- Chunze Lin, Jiwen Lu, Gang Wang, and Jie Zhou, Graininess-Aware Deep Feature Learning for Robust Pedestrian Detection, IEEE Transactions on Image Processing, vol. 29, pp. 3820-3834, 2020.
- Guangyi Chen, Jiwen Lu, Ming Yang, and Jie Zhou, Learning Recurrent 3D Attention for Video-based Person Re-identification, IEEE Transactions on Image Processing, vol. 29, pp. 6963-6976, 2020.
- Yansong Tang, Yi Wei, Xumin Yu, Jiwen Lu, and Jie Zhou, Graph Interaction Networks for Relation Transfer in Human Activity Videos, IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 9, pp. 2872-2886, 2020.
- Xiaojuan Cheng, Jiwen Lu, Bo Yuan, and Jie Zhou, Identity-Preserving Face hallucination via Deep Reinforcement Learning, IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 12, pp. 4796-4809, 2020.
- Shuyan Li, Zhixiang Chen, Xiu Li, Jiwen Lu, and Jie Zhou, Unsupervised Variational Video Hashing With 1D-CNN-LSTM Networks, IEEE Transactions on Multimedia, vol. 22, no. 6, pp. 1542-1554, 2020.
- Bin Fan, Qingqun Kong, Baoqian Zhang, Hongmin Liu, Chunhong Pan, and Jiwen Lu, Efficient Nearest Neighbor Search in High Dimensional Hamming Space, Pattern Recognition, vol. 99, 2020.
Conference Papers
- Wanhua Li, Yueqi Duan, Jiwen Lu, Jianjiang Feng and Jie Zhou, Graph-based Social Relation Reasoning, ECCV, 2020.
- Guangyi Lin, Yongming Rao, Jiwen Lu, and Jie Zhou, Temporal Coherence or Temporal Motion: Which is More Critical for Video-based Person Re-identification?, ECCV, 2020.
- Guangyi Chen, Yuhao Lu, Jiwen Lu, and Jie Zhou, Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification, ECCV, 2020.
- Ziwei Wang, Quan Zheng, Jiwen Lu, and Jie Zhou, Deep Hashing with Active Pairwise Supervision, ECCV, 2020.
- Lijie Liu, Chufan Wu, Jiwen Lu, Lingxi Xie, and Jie Zhou, Reinforced Axial Refinement Network for Monocular 3D Object Detection, ECCV, 2020.
- Yu Zheng, Danyang Zhang, Jiwen Lu, and Jie Zhou, Rotation-robust Intersection over Union for 3D Object Detection, ECCV, 2020.
- Wenzhao Zheng, Jiwen Lu, and Jie Zhou, Structural Deep Metric Learning for Room Layout Estimation, ECCV, 2020.
- Liangliang Ren, Yangyang Song, Jiwen Lu, and Jie Zhou, Spatial Geometric Reasoning for Room Layout Estimation via Deep Reinforcement Learning, ECCV, 2020.
- Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, and Cho-Jui Hsieh, MetaDistiller: Network Self-boosting via Meta-learned Top-down Distillation, ECCV, 2020.
- Wanhua Li, Yingqiang Zhang, Kangchen Lv, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Graph-Based Kinship Reasoning Network, ICME, 2020.
- Chunze Lin, Ruixiang Tang, Darryl D. Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao, and Jie Zhou, Deep Feature Disentanglement Learning for Bone Suppression in Chest Radiographs, ISBI, 2020.
- Yansong Tang, Zanlin Ni, Jiahuan Zhou, Danyang Zhang, Jiwen Lu, Ying Wu, and Jie Zhou, Uncertainty-aware Score Distribution Learning for Action Quality Assessment, CVPR, 2020. (oral)
- Yongming Rao, Jiwen Lu, and Jie Zhou, Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds, CVPR, 2020.
- Wenzhao Zheng, Jiwen Lu, and Jie Zhou, Deep Metric Learning via Adaptive Learnable Assessment, CVPR, 2020.
- Ziwei Wang, Ziyi Wu, Jiwen Lu, and Jie Zhou, BiDet: An Efficient Binarized Object Detector, CVPR, 2020.
- Cheng Ma, Zhengyu Jiang, Yongming Rao, Jiwen Lu, and Jie Zhou, Deep Face Super-resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation, CVPR, 2020.
- Cheng Ma, Yongming Rao, Yian Cheng, Ce Chen, Jiwen Lu, and Jie Zhou, Structure-preserving Super Resolution with Gradient Guidance, CVPR, 2020.
