Wenhan Luo's Home Page

Conference Paper

(* indicates equal contribution, + indicates intern working with me)

Every Moment Matters: Detail-Aware Networks to Bring a Blurry Image Alive,

K. Zhang+, W. Luo, B. Stenger, W. Ren, L. Ma, H. Li,

The 28th ACM International Conference on Multimedia (ACM MM), 2020. (Oral)

[PDF]

Beyond Monocular Deraining: Stereo Image Deraining via Semantic Understanding,

K. Zhang+, W. Luo, W. Ren, J. Wang, F. Zhao, L. Ma, H. Li,

European Conference on Computer Vision (ECCV), UK, 2020.

[PDF][Dataset][Code]

Deblurring by Realistic Blurring,

K. Zhang+, W. Luo, Y. Zhong, L. Ma, B. Stenger, W. Liu, H. Li,

Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), USA, 2020. (Oral)

[PDF][Dataset][Code]

Fine-grained Image-to-Image Transformation towards Visual Recognition,

W. Xiong, Y. He, Y. Zhang, W. Luo, L. Ma, J. Luo,

Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), USA, 2020.

[PDF][Project Page]

Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis,

W. Liu+, Z. Piao, J. Min, W. Luo, L. Ma, S. Gao,

Proc. of International Conference on Computer Vision (ICCV), Korea, 2019.

[PDF][Project Page][Code][Dataset]

Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video,

Z. Chen+, L. Ma, W. Luo, K.-Y. K. Wong,

The 57th Annual Meeting of the Association for Computational Linguistics (ACL), Italy, 2019. (Oral)

[PDF][Code]

Face Anti-Spoofing: Model Matters, So Does Data,

X. Yang*, W. Luo*, L. Bao, Y. Gao, D. Gong, S. Zheng, Z. Li, W. Liu,

Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), USA, 2019.

[PDF]

Learning Joint Gait Representation via Quintuplet Loss Minimization,

K. Zhang+, W. Luo, L. Ma, W. Liu, H. Li,

Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), USA, 2019. (Oral)

[PDF]

Residual Regression with Semantic Prior for Crowd Counting,

J. Wan+, W. Luo, B. Wu, A. Chan, W Liu,

Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), USA, 2019.

[PDF][Model/Code]

Learning to Compose Dynamic Tree Structures for Visual Contexts,

K. Tang+, H. Zhang, B. Wu, W. Luo, W. Liu,

Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), USA, 2019. (Oral, Best Paper Finalist)

[arXiv][Code]

AD-VAT: An Asymmetric Dueling Mechanism for Learning Visual Active Tracking,

F. Zhong+, P. Sun, W. Luo, T. Yan, Y. Wang,

International Conference on Learning Representations (ICLR), New Orleans, USA, 2019.

[OpenReview Link][Code][Dataset]

AD-VAT: An Asymmetric Dueling Mechanism for Learning Visual Active Tracking,

F. Zhong+, P. Sun, W. Luo, T. Yan, Y. Wang,

Neural Information Processing Systems (NIPS), workshop on Deep Reinforcement Learning, 2018.

[PDF]

Cousin Network Guided Sketch Recognition via Latent Attribute Warehouse,

K. Zhang+, W. Luo, L. Ma, H. Li,

Proc. of the Association for the Advancement of Artificial Intelligence (AAAI), Hawaii, USA, 2019. (Spotlight)

[PDF][Code]

Bi-Real Net: Enhancing the Performance of 1-bit CNNs with Improved Representational Capability and Advanced Training Algorithm,

Z. Liu+, B. Wu, W. Luo, X. Yang, W. Liu, K-T. Cheng,

European Conference on Computer Vision (ECCV), Germany, 2018.

[PDF][Code]

End-to-end Active Object Tracking via Reinforcement Learning,

W. Luo*, P. Sun*, F. Zhong, W. Liu, T. Zhang and Y. Wang,

International Conference on Machine Learning (ICML), Sweden, 2018.

[PDF][Project Page][Code][Demo]

Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks,

W. Xiong+, W. Luo, L. Ma, W. Liu and J. Luo,

Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), USA, 2018.

[arXiv][Project Page][Code][Dataset]

Real-Time Neural Style Transfer for Videos,

H. Huang+, H. Wang, W. Luo, L. Ma, W. Jiang, X. Zhu, Z. Li, W. Liu,

Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), USA, 2017.

[PDF]

Automatic Topic Discovery for Multi-object Tracking,

W. Luo, B. Stenger, X. Zhao, T-K. Kim,

Proc. of the Association for the Advancement of Artificial Intelligence (AAAI), Austin, Texas, USA, 2015. (Oral)

[PDF]

Bi-label Propagation for Generic Multiple Object Tracking,

W. Luo, T-K. Kim, B. Stenger, X. Zhao, R. Cipolla,

Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, 2014.

[PDF]

Unified Face Analysis by Iterative Multi-Output Random Forests,

X. Zhao, T-K. Kim, W. Luo,

Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, 2014.

[PDF]

Generic Object Crowd Tracking by Multi-Task Learning,

W. Luo, T-K. Kim,

Proc. of British Machine Vision Conference (BMVC), Bristol, UK, 2013.

[PDF]

Robust Visual Tracking via Transfer Learning,

W. Luo, X. Li, W. Li, W. Hu,

IEEE International Conference on Image Processing (ICIP), 2011.

Efficient Block-division Model for Robust Multiple Object Tracking,

W. Luo, X. Zhang, Y. Liu, X. Li, W. Hu, W. Li,

IEEE International Conference on Acoustics,Speech, and Signal Processing (ICASSP), 2011.

Robust Object Tracking with Boosted Discriminative Model via Graph Embedding,

W. Li, X. Zhang, W. Luo, W. Hu, H. Ling, O. Wu,

International Workshop on Visual Surveillance (VS), 2011.

Probabilistic Index Histogram for Robust Object Tracking,

W. Li, X. Zhang, N. Xie, W. Hu, W. Luo, H. Ling,

International Workshop on Visual Surveillance (VS), 2010.

Journal Article

(* indicates equal contribution, + indicates intern working with me)

Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling,

T. Liu+, W. Luo, L. Ma, J. Huang, T. Stathaki and T. Dai,

IEEE Trans. on Image Processing (TIP), 2021.

[PDF]

Video Deblurring via Spatiotemporal Pyramid Network and Adversarial Gradient Prior,

T. Wang, X. Zhang, R. Jiang, L. Zhao, H. Chen, W. Luo,

Computer Vision and Image Understanding (CVIU), 2020.

[PDF]

STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels,

Z. Ren+, W. Luo, J. Yan, X. Yang, A. Yuille, H. Zha,

IEEE Trans. on Image Processing (TIP), 2020.

[PDF]

Distractor-Aware Discrimination Learning for Online Multiple Object Tracking,

Z. Zhou, W. Luo, Q. Wang, J. Xing, W. Hu,

Pattern Recognition, 2020.

[PDF][Code]

AD-VAT+: An Asymmetric Dueling Mechanism for Learning and Understanding Visual Active Tracking,

F. Zhong+, P. Sun, W. Luo, T. Yan, Y. Wang,

IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2019.

[PDF][Code][Demo][Dataset]

Bi-Real Net: Binarizing Deep Network towards Real-Network Performance,

Z. Liu+, W. Luo, B. Wu, X. Yang, W. Liu, K-T. Cheng,

International Journal of Computer Vision (IJCV), 2019.

[PDF][arXiv][Code]

End-to-end Active Object Tracking and Its Real-world Deployment via Reinforcement Learning,

W. Luo*, P. Sun*, F. Zhong*, W. Liu, T. Zhang and Y. Wang,

IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), vol. 42, pp. 1317-1332, 2019.

[arXiv][PDF][Project Page][Code]

Reinforcement Learning Based Coding Unit Early Termination Algorithm for High Efficiency Video Coding,

N. Li, Y. Zhang, L. Zhu, W. Luo, S. Kwong,

Journal of Visual Communication and Image Representation, vol. 60, pp. 276-286, 2019.

[PDF]

Adversarial Spatio-Temporal Learning for Video Deblurring,

K. Zhang+, W. Luo, Y. Zhong, L. Ma, W. Liu and H. Li,

IEEE Trans. on Image Processing (TIP), vol. 28, no. 1, pp. 291-301, 2019.

[arXiv][Code]

Trajectories as Topics: Multi-Object Tracking by Topic Discovery,

W. Luo, B. Stenger, X. Zhao, T-K. Kim,

IEEE Trans. on Image Processing (TIP), vol. 28, no. 1, pp. 240-252, 2019.

[PDF]

Instant Coherent Group Motion Filtering by Group Motion Representations,

N. Li, Y. Zhang, W. Luo, N. Guo,

Neurocomputing, vol. 266, pp. 304-314, 2017.

[PDF]

Active Contour-Based Visual Tracking by Integrating Colors, Shapes and Motions,

W. Hu, X. Zhou, W. Li, W. Luo, X. Zhang, S. Maybank,

IEEE Trans. on Image Processing (TIP), vol. 22, no. 5, pp. 1778-1792, 2013.

[PDF]

Single and Multiple Object Tracking Using Log-Euclidean Riemannian Subspace and Block-Division Appearance Model,

W. Hu, X. Li, W. Luo, X. Zhang, S. Maybank, Z. Zhang,

IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), vol. 34, no. 12, pp. 2420-2440, 2012.

[PDF]

Tech Report

(* indicates equal contribution, + indicates intern working with me)

Multiple Object Tracking: A Literature Review,

W. Luo, J. Xing, A. Milan, X. Zhang, W. Liu, X. Zhao, and T-K. Kim,

arXiv:1409.7618, 2017.

[arXiv]

Look Closer to Ground Better: Weakly-Supervised Temporal Grounding of Sentence in Video,

Z. Chen+, L. Ma, W. Luo, P. Tang, K.-Y. K. Wong,

arXiv: 2001.09308, 2020.

[arXiv]

Thesis

W. Luo, Generic Multiple Object Tracking, Dept. of Electrical and Electronic Engineering, Imperial College London, 2016. [PDF]

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