Preprints

  • Yuntao Chen, Chenxia Han, Naiyan Wang, Zhaoxiang Zhang. Revisiting Feature Alignment for One-stage Object Detection. CoRR abs/1908.01570 (2019) [Link] [BibTex]
  • Xinbang Zhang, Zehao Huang, Naiyan Wang, Shiming Xiang and Chunhong Pan. You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization. CoRR abs/1908.01570 (2019) [Link] [BibTex]
  • Zehao Huang, Naiyan Wang. Like What You Like: Knowledge Distill via Neuron Selectivity Transfer. CoRR abs/1707.01219 (2017) [Link] [MXNet Code] [BibTex]
  • Hong Zhang, Naiyan Wang. On the Stability of Video Detection and Tracking. CoRR abs/1611.06467 (2016) [Link] [BibTex]
  • Naiyan Wang, Siyi Li, Abhinav Gupta, Dit-Yan Yeung. Transferring Rich Feature Hierarchies for Robust Visual Tracking. CoRR abs/1501.04587 (2015) [Link] Results [BibTex]

Peer Reviewed Publications

2019

  • Yuntao Chen, Chenxia Han, Yanghao Li, Zehao Huang, Yi Jiang, Naiyan Wang, Zhaoxiang Zhang. SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition. Journal of Machine Learning Research(156):1−8, 2019 (JMLR) [pdf] [BibTex] [MXNet Code]
  • Jia-Wang Bian, Zhichao Li, Naiyan Wang, Huangying Zhan, Chunhua Shen, Ming-Ming Cheng, Ian D. Reid. Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video. In Proceedings of Thirty-third Annual Conference on Neural Information Processing Systems (NeurIPS) , Vancouver, Canada, 8-14 December 2019. [pdf] [Code]
  • Yanghao Li*, Yuntao Chen*, Naiyan Wang, Zhaoxiang Zhang. Scale-Aware Trident Networks for Object Detection. In Proceedings of the Seventeenth IEEE International Conference on Computer Vision (ICCV) oral, Seoul, Korea, 27 Oct. - 2 Nov., 2019. (* denotes equal contribution) [pdf] [MXNet Code]
  • Haiping Wu, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang. Sequence Level Semantics Aggregation for Video Object Detection. In Proceedings of the Seventeenth IEEE International Conference on Computer Vision (ICCV) oral, Seoul, Korea, 27 Oct. - 2 Nov., 2019 [pdf] [MXNet Code]
  • Chuanchen Luo, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang. Spectral Feature Transformation for Person Re-identification. In Proceedings of the Seventeenth IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, 27 Oct. - 2 Nov., 2019 [pdf] [MXNet Code]
  • Haibo Qiu, Chunyu Wang, Jingdong Wang, Naiyan Wang, Wenjun Zeng. Cross View Fusion for 3D Human Pose Estimation. In Proceedings of the Seventeenth IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, 27 Oct. - 2 Nov., 2019 [pdf] [Code]

2018

  • Zehao Huang, Naiyan Wang. Data-Driven Sparse Structure Selection for Deep Neural Networks.In Proceedings of Fifteenth European Conference on Computer Vision (ECCV), Munich, Germany, September 8-14, 2018 [pdf] [MXNet Code] [BibTex]
  • Jianfu Zhang, Naiyan Wang, Liqing Zhang. Multi-shot Pedestrian Re-identification via Sequential Decision Making. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, 18-22 June, 2018 [pdf] [MXNet Code] [BibTex]
  • Yanghao Li, Naiyan Wang, Jianping Shi, Jiaying Liu, and Xiaodi Hou. Adaptive Batch Normalization for Practical Domain Adaptation. In Pattern Recognition (PR), 80, 109-117, 2018. [pdf] [BibTex]
  • Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang. DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer. Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), New Orleans, Louisiana, USA, February 2-7, 2018 [pdf] [MXNet Code] [BibTex]

2017

  • Yanghao Li, Naiyan Wang, Jiaying Liu, and Xiaodi Hou. Factorized Bilinear Models for Image Recognition. Proceedings of the Sixteenth IEEE International Conference on Computer Vision (ICCV) , Venice, Italy, 22-29 October 2017. [pdf] [MXNet Code] [BibTex]
  • Yanghao Li, Naiyan Wang, Jiaying Liu, and Xiaodi Hou. Demystifying Neural Style Transfer. Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, 19-25 August 2017 [pdf] [MXNet Code] [BibTex]
  • Weiyue Wang, Naiyan Wang, Xiaomin Wu, Suya You, Ulrich Neumann. Self-paced Cross-modality Transfer Learning for Efficient Road Segmentation In Proceedings of 2017 IEEE International Conference on Robotics and Automation (ICRA) , Singapore, May 29 - June 3 2017 [pdf] [BibTex]

2015

  • Naiyan Wang, Jianping Shi, Dit-Yan Yeung, Jiaya Jia. Understanding and Diagnosing Visual Tracking Systems. In Proceedings of the Fifteenth IEEE International Conference on Computer Vision (ICCV) , Santiago, Chile, 11-18 December 2015 [pdf] [Code] [Project Page]
  • Bing Xu, Naiyan Wang, Tianqi Chen, Mu Li. Empirical Evaluation of Rectified Activations in Convolutional Network. ICML Deep Learning Workshop , Lille, France, 06-11 July 2015. [arxiv version]
  • Hao Wang, Naiyan Wang, Dit-Yan Yeung. Collaborative Deep Learning for Recommender Systems.Proceedings of the Twenty-first ACM SIGKDD Conference on Knowledge Discovery and Data Mining, (SIGKDD) , Sydney, Australia, 10-13 August 2015. [paper] [Code and Data] [BibTex]
  • Chuang Gan*, Naiyan Wang*, Yi Yang, Dit-Yan Yeung, Alexander G. Hauptmann. DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) , Boston, Massachusetts, USA, 7-12 June 2015. (* denotes equal contribution) [pdf] [BibTex]
  • Peixian Chen, Naiyan Wang, Nevin L. Zhang, Dit-Yan Yeung. Bayesian adaptive matrix factorization with automatic model selection. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) , Boston, Massachusetts, USA, 7-12 June 2015. [pdf] [Code] [BibTex]

2014

  • Jingdong Wang, Naiyan Wang, You Jia, Jian Li, Gang Zeng, Hongbin Zha, Xiansheng Hua. Trinary-Projection Trees for Approximate Nearest Neighbor Search. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 36(2), 388-403, 2014. [pdf] [BibTex] [Codes upon request]
  • Naiyan Wang, Dit-Yan Yeung. Ensemble-based tracking: Aggregating crowdsourced structured time series data. Proceedings of the Thirty-First International Conference on Machine Learning (ICML) , Beijing, China, 21-26 June 2014. [pdf] [Project Page] [BibTex]

2013

  • Naiyan Wang, Dit-Yan Yeung. Learning a Deep Compact Image Representation for Visual Tracking . Proceedings of Twenty-Seventh Annual Conference on Neural Information Processing Systems (NIPS) , Lake Tahoe, Nevada, USA, 5-10 December 2013. [pdf] [Project Page] [BibTex]
  • Naiyan Wang, Jingdong Wang, Dit-Yan Yeung. Online Robust Non-negative Dictionary Learning for Visual Tracking . Proceedings of Fourteenth International Conference on Computer Vision (ICCV) , Sydney, Australia, 1-8 December 2013. [pdf] [Project Page] [BibTex]
  • Naiyan Wang, Dit-Yan Yeung. Bayesian Robust Matrix Factorization for Image and Video Processing . Proceedings of Fourteenth International Conference on Computer Vision (ICCV) , Sydney, Australia, 1-8 December 2013. [pdf] [Project Page] [BibTex]
  • Erheng Zhong, Lianghao Li, Naiyan Wang, Ben Tan, Yin Zhu, Lili Zhao, Qiang Yang. Contextual Rule-based Feature Engineering for Author-Paper Identification . KDD Cup 2013 Workshop. [pdf]
  • Jianping Shi, Naiyan Wang, Yang Xia, Dit-Yan Yeung, Irwin King, and Jiaya Jia. SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering. Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI) , Beijing, China, 3-9 August 2013. [pdf] [BibTex]

2012

  • Naiyan Wang, Tiansheng Yao, Jingdong Wang, and Dit-Yan Yeung. A Probabilistic Approach to Robust Matrix Factorization. Proceedings of the Twelfth European Conference on Computer Vision (ECCV), Firenze, Italy, 7-13 October 2012. [pdf] [BibTex] [Project Page]

2011

  • Cuixia Gao, Naiyan Wang, Qi Yu and Zhihua Zhang. A Feasible Nonconvex Relaxation Approach to Feature Selection. Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI), San Francisco, California, USA, 7-11 August 2011. [BibTex]
  • Hui Zhao, Jiuqiang Han, Naiyan Wang, Congfu Xu and Zhihua Zhang. A Fast Spectral Relaxation Approach to Matrix Completion via Kronecker Products. Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI), San Francisco, California, USA, 7-11 August 2011.[BibTex]