Journal Papers
- Hao Liu, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Two-stream Transformer Networks for Video-Based Face Alignment, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 11, pp. 2546-2554, 2018.
- Jiwen Lu, Venice Erin Liong, and Jie Zhou, Simultaneous Local Binary Feature Learning and Encoding for Homogeneous and Heterogeneous Face Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 8, pp. 1979-1993, 2018.
- Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Context-Aware Local Binary Feature Learning for Face Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 5, pp. 1139-1153, 2018.
- Junlin Hu, Jiwen Lu, and Yap-Peng Tan, Sharable and Individual Multi-view Metric Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 9, pp. 2281-2288, 2018.
- Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Deep Localized Metric Learning, IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 10, pp. 2644-2656, 2018.
- Junlin Hu, Jiwen Lu, Yap-Peng Tan, Junsong Yuan, and Jie Zhou, Local Large-Margin Multimetric Learning for Face and Kinship Verification, IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 8, pp. 1875-1891, 2018.
- Zhixiang Chen, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Nonlinear Structural Hashing for Scalable Video Search, IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 6, pp. 1421-1433, 2018.
- Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Topology Preserving Structural Matching for Automatic Partial Face Recognition, IEEE Transactions on Information Forensics and Security, vol. 13, no. 7, pp. 1823-1837, 2018.
- Hao Liu, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Label-sensitive Deep Metric Learning for Facial Age Estimation, IEEE Transactions on Information Forensics and Security, vol. 13, no. 2, pp. 292-305, 2018.
- Shan Gu, Jianfeng Feng, Jiwen Lu, and Jie Zhou, Efficient Rectification of Distorted Fingerprints, IEEE Transactions on Information Forensics and Security, vol. 13, no. 1, pp. 156-169, 2018.
- Zhe Cui, Jianfeng Feng, Shihao Li, Jiwen Lu, and Jie Zhou, 2-D Phase Demodulation for Deformable Fingerprint Registration, IEEE Transactions on Information Forensics and Security, vol. 13, no. 12, pp. 3153-3165, 2018.
- Xiaojuan Cheng, Jiwen Lu, Jianjiang Feng, Bo Yuan, and Jie Zhou, Scene Recognition with Objectness, Pattern Recognition, vol. 74, pp. 474-487, 2018.
- Xin Yuan, Zhixiang Chen, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Reconstruction-Based Supervised Hashing, Pattern Recognition, vol. 79, pp. 147-161, 2018.
- Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, Cross-modal Discrete Hashing, Pattern Recognition, vol. 79, pp. 114-129, 2018.
- Wencheng Zhu, Jiwen Lu, and Jie Zhou, Nonlinear Subspace Clustering for Image Clustering, Pattern Recognition Letters, vol. 107, pp. 131-136, 2018.
- Anran Wang, Jianfei Cai, Jiwen Lu, and Tat-Jen Cham, Structure-Aware Multimodal Feature Fusion for RGB-D Scene Classification and Beyond, ACM Transactions on Multimedia Computing, Communications, and Applications, vol. 14, no. 2, pp. 1-39, 2018.
Conference Papers
- Minghao Guo, Jiwen Lu, and Jie Zhou, Dual-agent Deep Reinforcement Learning for Deformable Face Tracking, ECCV, 2018. (oral)
- Chunze Lin, Jiwen Lu, Gang Wang, and Jie Zhou, Graininess-aware Deep Feature Learning for Pedestrian Detection, ECCV, 2018.
- Liangliang Ren, Jiwen Lu, Zifeng Wang, Qi Tian, and Jie Zhou, Collaborative Deep Reinforcement Learning for Multi-object Tracking, ECCV, 2018.
- Lei Chen, Jiwen Lu, Zhanjie Song, and Jie Zhou, Part-activated Deep Reinforcement Learning for Action Prediction, ECCV, 2018.
- Xin Yuan, Liangliang Ren, Jiwen Lu, and Jie Zhou, Relaxation-Free Deep Hashing via Policy Gradient, ECCV, 2018.
- Liangliang Ren, Xin Yuan, Jiwen Lu, Ming Yang, and Jie Zhou, Deep Reinforcement Learning with Iterative Shift for Visual Tracking, ECCV, 2018.
- Xudong Lin, Yueqi Duan, Jiwen Lu, and Jie Zhou, Deep Variational Metric Learning, ECCV, 2018.
- Yansong Tang, Zian Wang, Jiwen Lu, Ming Yang, and Jie Zhou, Mining Semantics-preserving Attention for Group Activity Recognition, ACM MM, 2018. (oral)
- Lijie Liu, Jiwen Lu, and Jie Zhou, Adversarial Transfer Networks for Visual Tracking, IROS, 2018.
- Chunze Lin, Jiwen Lu, and Jie Zhou, Multi-grained Deep Feature Learning for Pedestrian Detection, ICME, 2018.
- Cheng Ma, Zhixiang Chen, Jiwen Lu, and Jie Zhou, Rank-consistency Multi-label Deep Hashing, ICME, 2018. (Platinum Best Paper Award)
- Yueqi Duan, Wenzhao Zheng, Xudong Lin, Jiwen Lu, and Jie Zhou, Deep Adversarial Metric Learning, CVPR, 2018.
- Yueqi Duan, Ziwei Wang, Jiwen Lu, Xudong Lin, and Jie Zhou, GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning, CVPR, 2018.
- Zhixiang Chen, Xin Yuan, Jiwen Lu, Qi Tian, and Jie Zhou, Deep Hashing via Discrepancy Minimization, CVPR, 2018.
- Yansong Tang, Yi Tian, Jiwen Lu, Peiyang Li, and Jie Zhou, Deep Progressive Reinforcement Learning for Skeleton-based Action Recognition, CVPR, 2018.
- Yongming Rao, Dahua Lin, Jiwen Lu, and Jie Zhou, Learning Globally Optimized Object Detector via Policy Gradient, CVPR, 2018.
- Zhixiang Chen, Ruojin Cai, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Order-Sensitive Deep Hashing for Multimorbidity Medical Image Retrieval, MICCAI, 2018.
- Jifei Han, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Multi-scale Deep Representation Learning for Face Detection, VCIP, 2018.
- Venice Erin Liong, Jiwen Lu, and Yap-Peng Tan, Multi-Label Deep Sparse Hashing, VCIP, 2018.
- Venice Erin Liong, Jiwen Lu, and Yap-Peng Tan, Learning a Cross-modal Hashing Network for Multimedia Search, ICIP, 2018.
