Journal Papers
- Yongming Rao, Jiwen Lu, Ji Lin, and Jie Zhou, Runtime Network Routing for Efficient Image Classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 10, pp. 2291-2304, 2019.
- Yueqi Duan, Jiwen Lu, Ziwei Wang, Jianjiang Feng, and Jie Zhou, Learning Deep Binary Descriptor with Multi-Quantization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 8, pp. 1924-1938, 2019.
- Kevin Lin, Jiwen Lu, Chu-Song Chen, Jie Zhou, and Ming-Ting Sun, Unsupervised Deep Learning of Compact Binary Descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 6, pp. 1501-1514, 2019.
- Yongming Rao, Jiwen Lu, and Jie Zhou, Learning Discriminative Aggregation Network for Video-based Face Recognition and Person Re-identification, International Journal of Computer Vision, vol. 127, no. 6-7, pp. 701-718, 2019.
- Guangyi Chen, Jiwen Lu, Ming Yang, and Jie Zhou, Spatial-Temporal Attention-aware Learning for Video-based Person Re-identification, IEEE Transactions on Image Processing, vol. 28, no. 9, pp. 4192-4205, 2019.
- Liangliang Ren, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Uniform and Variational Deep Learning for RGB-D Object Recognition and Person Re-identification, IEEE Transactions on Image Processing, vol. 28, no. 10, pp. 4970-4983, 2019.
- Yansong Tang, Jiwen Lu, Zian Wang, Ming Yang, and Jie Zhou, Learning Semantics-Preserving Attention and Contextual Interaction for Group Activity Recognition, IEEE Transactions on Image Processing, vol. 28, no. 10, pp. 4997-5102, 2019.
- Yansong Tang, Zian Wang, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Multi-Stream Deep Neural Networks for RGB-D Egocentric Action Recognition, IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 10, pp. 3001-3015, 2019.
- Chunze Lin, Jiwen Lu, and Jie Zhou, Multi-Grained Deep Feature Learning for Robust Pedestrian Detection, IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 12, pp. 3608-3621, 2019.
- Hao Liu, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Ordinal Deep Learning for Facial Age Estimation, IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 2, pp. 486-501, 2019.
- Xiaojuan Cheng, Jiwen Lu, Bo Yuan, and Jie Zhou, Semantics-Enhanced Deep Feature Learning for Face Recognition, IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 1, no. 4, pp. 223-237, 2019.
- Wencheng Zhu, Jiwen Lu, and Jie Zhou, Structure Induced General and Specific Multi-view Subspace Clustering, Pattern Recognition, vol. 93, pp. 392-403, 2019.
- Lei Chen, Zhanjie Song, Jiwen Lu, and Jie Zhou, Learning Principal Orientations and Residual Descriptor for Action Recognition, Pattern Recognition, vol. 86, pp. 14-26, 2019.
Conference Papers
- Guangyi Chen, Tianren Zheng, Jiwen Lu, and Jie Zhou, Deep Meta Metric Learning, ICCV, 2019.
- Guangyi Chen, Chunze Lin, Liangliang Ren, Jiwen Lu, and Jie Zhou, Self-critical Attention Learning for Person Re-identification, ICCV, 2019.
- Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, and Jie Zhou, Neighborhood Preserving Hashing for Scalable Video Retrieval, ICCV, 2019.
- Yongcheng Liu, Bin Fan, Gaofeng Meng, Jiwen Lu, Shiming Xiang, and Chunhong Pan, DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing, ICCV, 2019.
- Junlin Hu, Jiwen Lu, Li Liu, and Jie Zhou, Multi-View Geometric Mean Metric Learning for Kinship Verification, ICIP, 2019.
- Chunze Lin, Ruixiang Tang, Darryl D. Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao, and Jie Zhou, Breast Mass Detection in Mammograms via Blending Adversarial Learning, ISBI, 2019.
- Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, and Jie Zhou, Hardness-aware Deep Metric Learning, CVPR, 2019. (oral)
- Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou, COIN: A Large-scale Dataset for Comprehensive Instructional Video Analysis, CVPR, 2019.
- Yueqi Duan, Jiwen Lu, and Jie Zhou, Uniformface: Learning Deep Equidistributed Representation for Face Recognition, CVPR, 2019.
- Yueqi Duan, Lei Chen, Jiwen Lu, and Jie Zhou, Deep Embedding Learning with Discriminative Sampling Policy, CVPR, 2019.
- Yueqi Duan, Yu Zheng, Jiwen Lu, Jie Zhou, and Qi Tian, Structural Relational Reasoning of Point Clouds, CVPR, 2019.
- Wanhua Li, Jiwen Lu, Jianjiang Feng, Chunjing Xu, Jie Zhou, and Qi Tian, BridgeNet: A Continuity-aware Probabilistic Network for Age Estimation, CVPR, 2019.
- Yongming Rao, Jiwen Lu, and Jie Zhou, Spherical Fractal Convolution Neural Networks for Point Cloud Recognition, CVPR, 2019.
- Lijie Liu, Jiwen Lu, Chunjing Xu, Qi Tian, Jie Zhou, Deep Fitting Degree Scoring Network for Monocular 3D Object Detection, CVPR, 2019.
- Ziwei Wang, Jiwen Lu, Chenxin Tao, Jie Zhou, and Qi Tian, Learning Channel-wise Interactions for Binary Convolutional Neural Networks, CVPR, 2019.
- Xin Yuan, Liangliang Ren, Jiwen Lu, and Jie Zhou, Enhanced Bayesian Compression via Deep Reinforcement Learning, CVPR, 2019.
- Shaohui Liu, Yi Wei, Wang Zhao, and Jiwen Lu, Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction, CVPR, 2019.
