Publications

Selected Publications [Google Scholar]

Papers

	Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning Weili Nie, Zhiding Yu, Lei Mao, Ankit B. Patel, Yuke Zhu, Anima Anandkumar Conference on Neural Information Processing Systems (NeurIPS), 2020. (Spotlight) [Paper] [Code] [Project] [Talk] [Slides] [Blog Post] [Bongard Problem]
	Neural Networks with Recurrent Generative Feedback Yujia Huang, James Gornet, Sihui Dai, Zhiding Yu, Tan Nguyen, Doris Y. Tsao, Anima Anandkumar Conference on Neural Information Processing Systems (NeurIPS), 2020. [Paper] [Code] [Project] [Talk] [Talk (Bilibili)] [Slides] [Blog Post]
	Delving Deeper into Anti-Aliasing in ConvNets Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yong Jae Lee British Machine Vision Conference (BMVC), 2020. (Oral, Best Paper Award) [Paper] [Code] [Project] [Talk] [Talk (Bilibili)] [Slides]
	UFO$^2$: A Unified Framework towards Omni-supervised Object Detection Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alex Schwing and Jan Kautz European Conference on Computer Vision (ECCV), 2020. [Paper] [Code] [Project] [Talk] [Slides]
	Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification Yang Zou, Xiaodong Yang, Zhiding Yu, B. V. K. Vijaya Kumar and Jan Kautz European Conference on Computer Vision (ECCV), 2020. (Oral) [Paper] [Code] [Project] [Talk] [Slides]
	Automated Synthetic-to-Real Generalization Wuyang Chen, Zhiding Yu, Zhangyang Wang and Animashree Anandkumar International Conference on Machine Learning (ICML), 2020. [Paper] [Code] [Project] [Talk] [Slides]
	Angular Visual Hardness B. Chen, W. Liu, Z. Yu, J. Kautz, A. Shrivastava, A. Garg and A. Anandkumar International Conference on Machine Learning (ICML), 2020. [Paper] [Code] [Project] [Talk] [Slides]
	Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alex Schwing, Jan Kautz IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [Paper] [Code] [Talk] [Slides]
	Regularizing Neural Networks via Minimizing Hyperspherical Energy Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James Rehg, Li Xiong, Le Song IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [Paper] [Code] [Talk] [Slides]
	Domain Stylization: A Fast Covariance Matching Framework towards Domain Adaptation Aysegul Dundar, Ming-Yu Liu, Zhiding Yu, Ting-Chun Wang, John Zedlewski, Jan Kautz IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2020. [Paper]
	Confidence Regularized Self-Training Yang Zou, Zhiding Yu*, Xiaofeng Liu, B. V. K. Vijaya Kumar and Jinsong Wang IEEE/CVF International Conference on Computer Vision* (ICCV), 2019. (Oral) [Paper] [Code] [Project] [Talk] [Slides] [Poster]
	Joint Discriminative and Generative Learning for Person Re-identification Zhedong Zheng, Xiaodong Yang, Zhiding Yu, Liang Zheng, Yi Yang and Jan Kautz IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019. (Oral) [Paper] [Code] [Project] [Demo] [Demo (Bilibili)] [Talk] [Slides] [Poster] [DG-Market]
	Learning towards Minimum Hyperspherical Energy Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai and Le Song Conference on Neural Information Processing Systems (NeurIPS), 2018. [Paper] [Code] [Project] [SphereFace+] [Talk] [Slides]
	Simultaneous Edge Alignment and Learning Zhiding Yu, Weiyang Liu, Yang Zou, Chen Feng, S. Ramalingam, B.V.K. V. Kumar and Jan Kautz European Conference on Computer Vision (ECCV), 2018. [Paper] [Code] [Project] [Demo] [Extended Demo] [Demo (Bilibili)] [Slides] [Poster]
	Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training Yang Zou, Zhiding Yu*, B. V. K. Vijaya Kumar and Jinsong Wang European Conference on Computer Vision* (ECCV), 2018. [Paper] [Code] [Project] [Slides] [Poster] Winner of 1st & 3rd place at Domain Adaptation Track, WAD Challenge@CVPR18
	Learning Strict Identity Mappings in Deep Residual Networks Xin Yu, Zhiding Yu and Srikumar Ramalingam IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [Paper] [Code] [Project]
	Decoupled Networks Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James Rehg and Le Song IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018. (Spotlight) [Paper] [Code] [Project] [Talk] [Slides]
	Deep Hyperspherical Learning Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhiding Yu, Bo Dai, Tuo Zhao and Le Song Conference on Neural Information Processing Systems (NeurIPS), 2017. (Spotlight) [Paper] [Code] [Project] [Talk] [Slides]
	CASENet: Deep Category-Aware Semantic Edge Detection Zhiding Yu, Chen Feng, Ming-Yu Liu and Srikumar Ramalingam IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [Paper] [Code] [Demo] [Slides] [Poster]
	SphereFace: Deep Hypersphere Embedding for Face Recognition Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj and Le Song IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [Paper] [Code] [Project] [Demo] [Slides] [MegaFace] Single model trained on CASIA achieves 99.42% verification rate on LFW
	On Order-Constrained Transitive Distance Clustering Zhiding Yu, Weiyang Liu, Wenbo Liu, Yingzhen Yang, Ming Li and B. V. K. Vijaya Kumar AAAI Conference on Artificial Intelligence (AAAI), 2016. [Paper] [Slides] [Poster]
	Large-Margin Softmax Loss for Convolutional Neural Networks Weiyang Liu, Yandong Wen, Zhiding Yu and Meng Yang International Conference on Machine Learning (ICML), 2016. (Oral) [Paper] [Code] [Project] [Slides] [Poster]
	Image based Static Facial Expression Recognition with Multiple Deep Network Learning Zhiding Yu and Cha Zhang ACM International Conference on Multimodal Interaction (ICMI), 2015. (Full Paper, Oral) [Paper] [Slides] [Detected Faces] [EmotiW15 Challenge] [Emition API] [Project Oxford] [Media]
	Generalized Transitive Distance with Minimum Spanning Random Forest Zhiding Yu, Weiyang Liu, Wenbo Liu, Xi Peng, Zhuo Hui and B. V. K. Vijaya Kumar International Joint Conference on Artificial Intelligence (IJCAI), 2015. (Long Oral) [Paper] [Slides] [Poster]
	Structured Hough Voting for Vision-based Highway Border Detection Zhiding Yu, Wende Zhang, B. V. K. Vijaya Kumar and Dan Levi IEEE Winter Conference on Applications of Computer Vision (WACV), 2015. (Best Paper Award) [Paper] [Demo] [Slides] [Poster] [CMU Media]
	Transitive Distance Clustering with K-Means Duality Zhiding Yu, Chunjing Xu, Deyu Meng, Zhuo Hui, Fanyi Xiao, Wenbo Liu and Jianzhuang Liu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. [Paper] [Supplementary] [Poster]
	Bag of Textons for Image Segmentation via Soft Clustering and Convex Shift Zhiding Yu, Ang Li, Oscar C. Au and Chunjing Xu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012. [Paper] [Poster]
	Automatic Object Segmentation from Large Scale 3D Urban Point Clouds through Manifold Embedded Mode Seeking Zhiding Yu, Chunjing Xu, Jianzhuang Liu, Oscar C. Au and Xiaoou Tang ACM International Conference on Multimedia (ACM-MM), 2011. [Paper] [Poster]
	Nonparametric Density Estimation on A Graph: Learning Framework, Fast Approximation and Application in Image Segmentation Zhiding Yu, Oscar C. Au, Ketan Tang and Chunjing Xu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011. [Paper]
	An Adaptive Unsupervised Approach toward Pixel Clustering and Color Image Segmentation Zhiding Yu, Oscar C. Au et al. Pattern Recognition (PR), 2010, 43. [Paper]

Thesis

Graph Embedding and Arbitrarily Shaped Clustering for Unsupervised Image Segmentation
Zhiding Yu, Thesis Committee: Oscar C. Au, Long Quan and Chin-Tau Lee
Master of Philosophy Thesis, Hong Kong University of Science and Technology, 2012.
[Paper]

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