Dual-agent deep reinforcement learning for deformable face tracking

Simultaneous local binary feature learning and encoding for homogeneous and heterogeneous face recognition

Deep reinforcement learning with iterative shift for visual tracking

Spherical Fractal Convolution Neural Networks for Point Cloud Recognition

Graininess-Aware Deep Feature Learning for Pedestrian Detection

Compact Representation Learning

  1. 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, 2018, accepted.
  2. 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, 2018, accepted.
  3. 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, 2018, accepted.
  4. 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.
  5. 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.
  6. Jiwen Lu, Venice Erin Liong, Xiuzhuang Zhou, and Jie Zhou, Learning compact binary face descriptor for face recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 10, pp. 2041-2056, 2015.
  7. Jiwen Lu, Venice Erin Liong, and Jie Zhou, Deep hashing for scalable image search, IEEE Transactions on Image Processing, vol. 26, no. 5, pp. 2352-2367, 2017.
  8. Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Learning rotation-invariant local binary descriptor, IEEE Transactions on Image Processing, vol. 26, no. 8, pp. 3636-3651, 2017.
  9. Jiwen Lu, Venice Erin Liong, and Jie Zhou, Cost-sensitive local binary feature learning for facial age estimation, IEEE Transactions on Image Processing, vol. 24, no. 12, pp. 5356-5368, 2015.
  10. Yueqi Duan, Ziwei Wang, Jiwen Lu*, Xudong Lin, and Jie Zhou, GraphBit: bitwise interaction mining via deep reinforcement learning, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Salt Lake, June, 2018.
  11. Xin Yuan, Liangliang Ren, Jiwen Lu*, and Jie Zhou, Relaxation-free deep hashing via policy gradient, European Conference on Computer Vision, Munich, Sep., 2018.
  12. Zhixiang Chen, Xin Yuan, Jiwen Lu*, Qi Tian, and Jie Zhou, Deep hashing by discrepancy minimization, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Salt Lake, June, 2018.
  13. Venice Erin Liong, Jiwen Lu*, Yap-Peng Tan, and Jie Zhou, Cross-modal deep variational hashing, IEEE International Conference on Computer Vision, Venice, Oct., 2017.
  14. Yueqi Duan, Jiwen Lu*, Ziwei Wang, Jianjiang Feng, and Jie Zhou, Learning deep binary descriptor with multi-quantization, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Honolulu, July, 2017.
  15. Kevin Lin, Jiwen Lu*, Chu-Song Chen, and Jie Zhou, Learning compact binary descriptors with unsupervised deep neural networks, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Las Vegas, Jun., 2016.
  16. Jiwen Lu, Venice Erin Liong, and Jie Zhou, Simultaneous local binary feature learning and encoding for face recognition, IEEE International Conference on Computer Vision, Santiago, Dec., 2015.
  17. Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin, and Jie Zhou, Deep hashing for compact binary codes learning, IEEE Conference on Computer Vision and Pattern Recognition, Boston, Jun., 2015.

Deep Metric Learning

  1. Jiwen Lu, Junlin Hu, and Jie Zhou, Deep metric learning for visual understanding: an overview of recent advances, IEEE Signal Processing Magazine, vol. 34, no. 6, pp. 76-84, 2017.
  2. 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.
  3. 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.
  4. 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, 2018, accepted.
  5. Jiwen Lu, Junlin Hu, and Yap-Peng Tan, Discriminative deep metric learning for face and kinship verification, IEEE Transactions on Image Processing, vol. 26, no. 9, pp. 4042-4054, 2017.
  6. Junlin Hu, Jiwen Lu, Yap-Peng Tan, and Jie Zhou, Deep transfer metric learning, IEEE Transactions on Image Processing, vol. 25, no. 12, pp. 5576-5588, 2016.
  7. Yueqi Duan, Lei Chen, Jiwen Lu, and Jie Zhou, Deep embedding learning with discriminative sampling policy, IEEE/CVF Conference on Computer Vision and Pattern Recognition, Long Bench, June, 2019.
  8. Wenzhao Zheng, Jiwen Lu, Zhaodong Chen, and Jie Zhou, Hardness-aware deep metric learning, IEEE/CVF Conference on Computer Vision and Pattern Recognition, Long Bench, June, 2019.
  9. Xudong Lin, Yueqi Duan, Qiyuan Dong, Jiwen Lu, and Jie Zhou, Deep variational metric learning, European Conference on Computer Vision, Munich, Sep., 2018.
  10. Yueqi Duan, Wenzhao Zheng, Xudong Lin, Jiwen Lu, and Jie Zhou, Deep adversarial metric learning, IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake, June, 2018.
  11. Yongming Rao, Ji Lin, Jiwen Lu, and Jie Zhou, Learning discriminative aggregation networks for video-based face recognition, IEEE/CVF International Conference on Computer Vision, Venice, Oct., 2017.
  12. Ji Lin, Liangliang Ren, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Consistent-aware deep learning for person re-identification in a camera network, IEEE/CVF Conference on Computer Vision and Pattern Recognition, Honolulu, July, 2017.
  13. Jiwen Lu, Gang Wang, Weihong Deng, Pierre Moulin, and Jie Zhou, Multi-manifold deep metric learning for image set classification, IEEE Conference on Computer Vision and Pattern Recognition, Boston, Jun., 2015.
  14. Junlin Hu, Jiwen Lu, and Yap-Peng Tan, Deep transfer metric learning, IEEE Conference on Computer Vision and Pattern Recognition, Boston, Jun., 2015.
  15. Junlin Hu, Jiwen Lu, and Yap-Peng Tan, Discriminative deep metric learning for face verification in the wild, IEEE Conference on Computer Vision and Pattern Recognition, Columbus, Jun., 2014.

Deep Reinforcement Learning

  1. Yongming Rao, Jiwen Lu, Ji Lin, and Jie Zhou, Runtime network routing for efficient image classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, accepted.
  2. 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, 2018, accepted.
  3. Ziwei Wang, Jiwen Lu, Chenxi Tao, and Jie Zhou, Learning channel-wise interactions for binary convolutional neural networks, IEEE/CVF Computer Society Conference on Computer Vision and Pattern Recognition, Long Bench, June, 2019.
  4. Xin Yuan, Liangliang Ren, Jiwen Lu, and Jie Zhou, Enhanced Bayesian compression via deep reinforcement learning, IEEE/CVF Computer Society Conference on Computer Vision and Pattern Recognition, Long Bench, June, 2019.
  5. Yueqi Duan, Lei Chen, Jiwen Lu, and Jie Zhou, Deep embedding learning with discriminative sampling policy, IEEE/CVF Conference on Computer Vision and Pattern Recognition, Long Bench, June, 2019.
  6. Minghao Guo, Jiwen Lu, and Jie Zhou, Dual-agent deep reinforcement learning for deformable face tracking, European Conference on Computer Vision, Munich, Sep., 2018.
  7. Lei Chen, Jiwen Lu, Zhanjie Song, and Jie Zhou, Part-activated deep reinforcement learning for action prediction, European Conference on Computer Vision, Munich, Sep., 2018.
  8. Liangliang Ren, Xin Yuan, Jiwen Lu, Ming Yang, and Jie Zhou, Deep reinforcement learning with iterative shift for visual tracking, European Conference on Computer Vision, Munich, Sep., 2018.
  9. Liangliang Ren, Jiwen Lu, Zifeng Wang, Qi Tian, and Jie Zhou, Collaborative deep reinforcement learning for multi-object tracking, European Conference on Computer Vision, Munich, Sep., 2018.
  10. Xin Yuan, Liangliang Ren, Jiwen Lu, and Jie Zhou, Relaxation-free deep hashing via policy gradient, European Conference on Computer Vision, Munich, Sep., 2018.
  11. Yueqi Duan, Ziwei Wang, Jiwen Lu, Xudong Lin, and Jie Zhou, GraphBit: bitwise interaction mining via deep reinforcement learning, IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake, June, 2018.
  12. Yansong Tang, Yi Tian, Jiwen Lu, Peiyang Li, and Jie Zhou, Deep progressive reinforcement learning for skeleton-based action recognition, IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake, June, 2018.
  13. Yongming Rao, Dahua Lin, Jiwen Lu, and Jie Zhou, Learning globally optimized object detector via policy gradient, IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake, June, 2018.
  14. Ji Lin, Yongming Rao, Jiwen Lu, and Jie Zhou, Runtime neural pruning, Advances in Neural Information Processing Systems, Long Bench, Dec., 2017.
  15. Yongming Rao, Jiwen Lu, and Jie Zhou, Attention-aware deep reinforcement learning for video based face recognition, IEEE International Conference on Computer Vision, Venice, Oct., 2017.

Object Detection

  1. 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, 2019.
  2. 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.
  3. Hao Liu, Jiwen Lu*, Jianjiang Feng, and Jie Zhou, Learning Deep Sharable and Structural Detectors for Face Alignment, IEEE Transactions on Image Processing, vol. 26, no. 4, pp. 1666-1678, 2017.
  4. 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, 2019.
  5. Lijie Liu, Jiwen Lu*, Chunjing Xu, Qi Tian, Jie Zhou, Deep Relational Reasoning Network for Monocular 3D Object Detection, CVPR, 2019.
  6. Minghao Guo, Jiwen Lu*, and Jie Zhou, Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking, ECCV, 2018. (oral)
  7. Chunze Lin, Jiwen Lu*, Gang Wang, and Jie Zhou, Graininess-Aware Deep Feature Learning for Pedestrian Detection, ECCV, 2018.
  8. Yongming Rao, Dahua Lin, Jiwen Lu*, and Jie Zhou, Learning Globally Optimized Object Detector via Policy Gradient, CVPR,2018.

Visual Tracking

  1. Junlin Hu, Jiwen Lu*, and Yap-Peng Tan, Deep Metric Learning for Visual Tracking, IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 11, 2056-2068, 2016.
  2. Liangliang Ren, Jiwen Lu*, Zifeng Wang, Qi Tian, and Jie Zhou, Collaborative Deep Reinforcement Learning for Multi-Object Tracking, ECCV, 2018.
  3. Liangliang Ren, Xin Yuan, Jiwen Lu*, Ming Yang, and Jie Zhou, Deep Reinforcement Learning with Iterative Shift for Visual Tracking, ECCV, 2018.
  4. Lin Ma, Jiwen Lu*, Jianjiang Feng, and Jie Zhou, Multiple Feature Fusion via Weighted Entropy for Visual Tracking, ICCV, 2015.
  5. Lin Ma, Xiaoqin Zhang, Weiming Hu, Junliang Xing, Jiwen Lu, and Jie Zhou, Local Subspace Collaborated Tracking, ICCV, 2015.

Action Recognition

  1. 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.
  2. Lei Chen, Jiwen Lu*, Zhanjie Song, and Jie Zhou, Part-Activated Deep Reinforcement Learning for Action Prediction, ECCV, 2018.
  3. Yansong Tang, Yi Tian, Jiwen Lu*, Peiyang Li, and Jie Zhou, Deep Progressive Reinforcement Learning for Skeleton-based Action Recognition, CVPR, 2018.

3D Vision

  1. Yongming Rao, Jiwen Lu*, Ji Lin, and Jie Zhou, Runtime Network Routing for Efficient Image Classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, accepted.
  2. Yueqi Duan, Yu Zheng, Jiwen Lu*, Jie Zhou, and Qi Tian, Structural Relational Reasoning of Point Clouds, CVPR, 2019.
  3. Yongming Rao, Jiwen Lu*, and Jie Zhou, Spherical Fractal Convolution Neural Networks for Point Cloud Recognition, CVPR, 2019.
  4. Shaohui Liu, Yi Wei, Wang Zhao, Jiwen Lu*, Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction, CVPR, 2019.
  5. Lijie Liu, Jiwen Lu*, Chunjing Xu, Qi Tian, Jie Zhou, Deep Relational Reasoning Network for Monocular 3D Object Detection, CVPR, 2019.
  6. Ziwei Wang, Jiwen Lu*, Chenxin Tao, Jie Zhou, Qi Tian, Learning Channel-wise Interactions for Binary Convolutional Neural Networks, CVPR, 2019.
  7. Xin Yuan, Liangliang Ren, Jiwen Lu*, Jie Zhou, Enhanced Bayesian Compression via Deep Reinforcement Learning, CVPR, 2019.
  8. Ji Lin, Yongming Rao, Jiwen Lu*, and Jie Zhou, Runtime Neural Pruning, NIPS, 2017.

Face Recognition

  1. 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, 2019.
  2. 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.
  3. 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.
  4. 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.
  5. Jiwen Lu, Venice Erin Liong, Xiuzhuang Zhou, and Jie Zhou, Learning compact binary face descriptor for face recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 10, pp. 2041-2056, 2015.
  6. 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, 2018, accepted.
  7. Jiwen Lu, Gang Wang, and Jie Zhou, Simultaneous feature and dictionary learning for image set based face recognition, IEEE Transactions on Image Processing, vol. 26, no. 8, pp. 4042-4054, 2017.
  8. Jiwen Lu, Junlin Hu, and Yap-Peng Tan, Discriminative deep metric learning for face and kinship verification, IEEE Transactions on Image Processing, vol. 26, no. 9, pp. 4042-4054, 2017.
  9. Hao Liu, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Learning deep sharable and structural detectors for face alignment, IEEE Transactions on Image Processing, vol. 26, no. 4, pp. 1666-1678, 2017.
  10. Renliang Weng, Jiwen Lu, and Yap-Peng Tan, Robust point set matching for partial face recognition, IEEE Transactions on Image Processing, vol. 25, no. 3, pp. 1163-1176, 2016.
  11. Jiwen Lu, Venice Erin Liong, and Jie Zhou, Cost-sensitive local binary feature learning for facial age estimation, IEEE Transactions on Image Processing, vol. 24, no. 12, pp. 5356-5368, 2015.
  12. Yueqi Duan, Jiwen Lu, and Jie Zhou, UniformFace: Learning deep Equidistributed representation for face recognition, IEEE International Conference on Computer Vision and Pattern Recognition, 2019.
  13. Wanhua Li, Jiwen Lu, Jianjiang Feng, Chunjing Xu, Jie Zhou, and Qi Tian, BridgeNet: a continuity-aware Probabilistic Network for Age Estimation, IEEE International Conference on Computer Vision and Pattern Recognition, 2019.
  14. Minghao Guo, Jiwen Lu, and Jie Zhou, Dual-agent deep reinforcement learning for deformable face tracking, European Conference on Computer Vision, 2018. (oral)
  15. Yongming Rao, Jiwen Lu, and Jie Zhou, Attention-aware deep reinforcement learning for video based face recognition, IEEE International Conference on Computer Vision, 2017.
  16. Yongming Rao, Ji Lin, Jiwen Lu, and Jie Zhou, Learning discriminative aggregation networks for video-based face recognition, IEEE International Conference on Computer Vision, 2017.
  17. Jiwen Lu, Venice Erin Liong, and Jie Zhou, Simultaneous local binary feature learning and encoding for face recognition, IEEE International Conference on Computer Vision, 2015.

Person Re-identification

  1. 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, 2019.
  2. Ji Lin, Liangliang Ren, Jiwen Lu*, Jianjiang Feng, and Jie Zhou, Consistent-Aware Deep Learning for Person Re-Identification in a Camera Network, CVPR, 2017.

Fingerprint Recognition

  1. Feng, Jianjiang, Jie Zhou, and Yijing SU. "METHOD AND SYSTEM FOR ESTIMATING FINGERPRINT POSE." U.S. Patent No. 20,150,347,804. 3 Dec. 2015.
  2. Yang, Xiao, et al. "Detection and segmentation of latent fingerprints." Information Forensics and Security (WIFS), 2015 IEEE International Workshop on. IEEE, 2015.
  3. Si, Xuanbin, et al. "Detection and Rectification of Distorted Fingerprints." Pattern Analysis and Machine Intelligence, IEEE Transactions on 37.3 (2015): 555-568.
  4. Yang, Xiao, Jianjiang Feng, and Jie Zhou. "Localized dictionaries based orientation field estimation for latent fingerprints." Pattern Analysis and Machine Intelligence, IEEE Transactions on 36.5 (2014): 955-969.
  5. Luo, Yuxuan, Jianjiang Feng, and Jie Zhou. "Fingerprint matching based on global minutia cylinder code." Biometrics (IJCB), 2014 IEEE International Joint Conference on. IEEE, 2014.

Palmprint Recognition

  1. Dai, Jifeng, Jianjiang Feng, and Jie Zhou. "Robust and efficient ridge-based palmprint matching." IEEE transactions on pattern analysis and machine intelligence 34.8 (2012): 1618-1632.
  2. Yang, Xiao, Jianjiang Feng, and Jie Zhou. "Palmprint indexing based on ridge features." 2011 International Joint Conference on Biometrics (IJCB). IEEE, 2011.
  3. Dai, Jifeng, and Jie Zhou. "Multifeature-based high-resolution palmprint recognition." IEEE Transactions on Pattern Analysis and Machine Intelligence 33.5 (2011): 945-957.
  4. Jain, Anil K., and Jianjiang Feng. "Latent palmprint matching." IEEE Transactions on pattern analysis and machine intelligence 31.6 (2009): 1032-1047.