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2020 – today
- 2023
[j11]Sina Mohseni
, Haotao Wang, Chaowei Xiao, Zhiding Yu, Zhangyang Wang, Jay Yadawa:
Taxonomy of Machine Learning Safety: A Survey and Primer. ACM Comput. Surv. 55(8): 157:1-157:38 (2023)- [j10]Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yuheng Li, Yong Jae Lee:
Delving Deeper into Anti-Aliasing in ConvNets. Int. J. Comput. Vis. 131(1): 67-81 (2023) - [j9]Guilin Liu, Aysegul Dundar, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Xiaodong Yang, Andrew Tao, Bryan Catanzaro:
Partial Convolution for Padding, Inpainting, and Image Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6096-6110 (2023) - [i57]Shiyi Lan, Xitong Yang, Zhiding Yu, Zuxuan Wu, Jose M. Alvarez, Anima Anandkumar:
Vision Transformers Are Good Mask Auto-Labelers. CoRR abs/2301.03992 (2023) - [i56]Zhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Ming-Yu Liu, Yuke Zhu, Mohammad Shoeybi, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar:
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. CoRR abs/2302.04858 (2023) - [i55]Yiming Li, Zhiding Yu, Christopher B. Choy, Chaowei Xiao, Jose M. Alvarez, Sanja Fidler, Chen Feng, Anima Anandkumar:
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion. CoRR abs/2302.12251 (2023) - [i54]Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar:
Prismer: A Vision-Language Model with An Ensemble of Experts. CoRR abs/2303.02506 (2023) - [i53]Alex Trevithick, Matthew A. Chan, Michael Stengel, Eric R. Chan, Chao Liu, Zhiding Yu, Sameh Khamis, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano:
Real-Time Radiance Fields for Single-Image Portrait View Synthesis. CoRR abs/2305.02310 (2023) - 2022
- [j8]Taihong Xiao, Sifei Liu, Shalini De Mello, Zhiding Yu, Jan Kautz, Ming-Hsuan Yang:
Learning Contrastive Representation for Semantic Correspondence. Int. J. Comput. Vis. 130(5): 1293-1309 (2022) - [j7]Taihong Xiao, Sifei Liu, Shalini De Mello, Zhiding Yu, Jan Kautz, Ming-Hsuan Yang:
Correction to: Learning Contrastive Representation for Semantic Correspondence. Int. J. Comput. Vis. 130(6): 1607 (2022) - [c68]Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, Jose M. Alvarez, Zhiding Yu, Sanja Fidler, Marc T. Law:
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CVPR 2022: 275-284 - [c67]Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Ping Luo, Tong Lu:
Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers. CVPR 2022: 1270-1279 - [c66]Jiteng Mu, Shalini De Mello, Zhiding Yu, Nuno Vasconcelos, Xiaolong Wang, Jan Kautz, Sifei Liu:
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs. CVPR 2022: 10001-10010 - [c65]Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, Jose M. Alvarez:
FreeSOLO: Learning to Segment Objects without Annotations. CVPR 2022: 14156-14166 - [c64]Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, Jose M. Alvarez:
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection. CVPR 2022: 14472-14481 - [c63]Huaizu Jiang, Xiaojian Ma, Weili Nie, Zhiding Yu, Yuke Zhu, Anima Anandkumar:
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions. CVPR 2022: 19034-19043 - [c62]Xiaojian Ma, Weili Nie, Zhiding Yu, Huaizu Jiang, Chaowei Xiao, Yuke Zhu, Song-Chun Zhu, Anima Anandkumar:
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning. ICLR 2022 - [c61]Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, Jose M. Alvarez:
Understanding The Robustness in Vision Transformers. ICML 2022: 27378-27394 - [c60]De-An Huang, Zhiding Yu, Anima Anandkumar:
MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training. NeurIPS 2022 - [c59]Manli Shu, Weili Nie, De-An Huang, Zhiding Yu, Tom Goldstein, Anima Anandkumar, Chaowei Xiao:
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models. NeurIPS 2022 - [i52]Jiachen Sun, Qingzhao Zhang, Bhavya Kailkhura, Zhiding Yu, Chaowei Xiao, Z. Morley Mao:
Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions. CoRR abs/2201.12296 (2022) - [i51]Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, Jose M. Alvarez:
FreeSOLO: Learning to Segment Objects without Annotations. CoRR abs/2202.12181 (2022) - [i50]Jiteng Mu, Shalini De Mello, Zhiding Yu, Nuno Vasconcelos, Xiaolong Wang, Jan Kautz, Sifei Liu:
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs. CoRR abs/2203.16521 (2022) - [i49]Enze Xie, Zhiding Yu, Daquan Zhou, Jonah Philion, Anima Anandkumar, Sanja Fidler, Ping Luo, Jose M. Alvarez:
M2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation. CoRR abs/2204.05088 (2022) - [i48]Xiaojian Ma, Weili Nie, Zhiding Yu, Huaizu Jiang, Chaowei Xiao, Yuke Zhu, Song-Chun Zhu, Anima Anandkumar:
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning. CoRR abs/2204.11167 (2022) - [i47]Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Anima Anandkumar, Jiashi Feng, Jose M. Alvarez:
Understanding The Robustness in Vision Transformers. CoRR abs/2204.12451 (2022) - [i46]Huaizu Jiang, Xiaojian Ma, Weili Nie, Zhiding Yu, Yuke Zhu, Anima Anandkumar:
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions. CoRR abs/2205.13803 (2022) - [i45]Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, Jose M. Alvarez, Zhiding Yu, Sanja Fidler, Marc T. Law:
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CoRR abs/2207.01725 (2022) - [i44]De-An Huang, Zhiding Yu, Anima Anandkumar:
MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training. CoRR abs/2208.02245 (2022) - [i43]Jiachen Sun, Weili Nie, Zhiding Yu, Z. Morley Mao, Chaowei Xiao:
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition. CoRR abs/2208.09801 (2022) - [i42]Manli Shu, Weili Nie, De-An Huang, Zhiding Yu, Tom Goldstein, Anima Anandkumar, Chaowei Xiao:
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models. CoRR abs/2209.07511 (2022) - [i41]Junfei Xiao, Zhichao Xu, Shiyi Lan, Zhiding Yu, Alan L. Yuille, Anima Anandkumar:
1st Place Solution of The Robust Vision Challenge (RVC) 2022 Semantic Segmentation Track. CoRR abs/2210.12852 (2022) - 2021
- [j6]Aysegul Dundar, Ming-Yu Liu, Zhiding Yu, Ting-Chun Wang, John Zedlewski, Jan Kautz:
Domain Stylization: A Fast Covariance Matching Framework Towards Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2360-2372 (2021) - [c58]Shiyi Lan, Zhiding Yu, Christopher B. Choy, Subhashree Radhakrishnan, Guilin Liu, Yuke Zhu, Larry S. Davis, Anima Anandkumar:
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision. ICCV 2021: 3386-3396 - [c57]Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, Jose M. Alvarez, Zhangyang Wang, Anima Anandkumar:
Contrastive Syn-to-Real Generalization. ICLR 2021 - [c56]Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Animashree Anandkumar, Sanja Fidler, Jose M. Alvarez:
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. ICML 2021: 1463-1472 - [c55]Linxi Fan, Guanzhi Wang, De-An Huang, Zhiding Yu, Li Fei-Fei, Yuke Zhu, Animashree Anandkumar:
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies. ICML 2021: 3088-3099 - [c54]Grigorios G. Chrysos, Jean Kossaifi, Zhiding Yu, Anima Anandkumar:
Unsupervised Controllable Generation with Self-Training. IJCNN 2021: 1-8 - [c53]Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang:
AugMax: Adversarial Composition of Random Augmentations for Robust Training. NeurIPS 2021: 237-250 - [c52]Zhiding Yu, Rui Huang, Wonmin Byeon, Sifei Liu, Guilin Liu, Thomas M. Breuel, Anima Anandkumar, Jan Kautz:
Coupled Segmentation and Edge Learning via Dynamic Graph Propagation. NeurIPS 2021: 4919-4932 - [c51]Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Ping Luo:
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers. NeurIPS 2021: 12077-12090 - [c50]Jiachen Sun, Yulong Cao, Christopher B. Choy, Zhiding Yu, Anima Anandkumar, Zhuoqing Morley Mao, Chaowei Xiao:
Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions. NeurIPS 2021: 15498-15512 - [i40]Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, Jose M. Alvarez, Zhangyang Wang, Anima Anandkumar:
Contrastive Syn-to-Real Generalization. CoRR abs/2104.02290 (2021) - [i39]Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Anima Anandkumar, Sanja Fidler, Jose M. Alvarez:
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. CoRR abs/2104.05702 (2021) - [i38]Shiyi Lan, Zhiding Yu, Christopher Bongsoo Choy, Subhashree Radhakrishnan, Guilin Liu, Yuke Zhu, Larry S. Davis, Anima Anandkumar:
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision. CoRR abs/2105.06464 (2021) - [i37]Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Ping Luo:
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers. CoRR abs/2105.15203 (2021) - [i36]Sina Mohseni, Haotao Wang, Zhiding Yu, Chaowei Xiao, Zhangyang Wang, Jay Yadawa:
Practical Machine Learning Safety: A Survey and Primer. CoRR abs/2106.04823 (2021) - [i35]Linxi Fan, Guanzhi Wang, De-An Huang, Zhiding Yu, Li Fei-Fei, Yuke Zhu, Anima Anandkumar:
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies. CoRR abs/2106.09678 (2021) - [i34]Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, Jose M. Alvarez:
Towards Reducing Labeling Cost in Deep Object Detection. CoRR abs/2106.11921 (2021) - [i33]Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Tong Lu, Ping Luo:
Panoptic SegFormer. CoRR abs/2109.03814 (2021) - [i32]Taihong Xiao, Sifei Liu, Shalini De Mello, Zhiding Yu, Jan Kautz, Ming-Hsuan Yang:
Learning Contrastive Representation for Semantic Correspondence. CoRR abs/2109.10967 (2021) - [i31]Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang:
AugMax: Adversarial Composition of Random Augmentations for Robust Training. CoRR abs/2110.13771 (2021) - 2020
- [j5]Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. Medical Image Anal. 65: 101766 (2020) - [c49]Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yong Jae Lee:
Delving Deeper into Anti-aliasing in ConvNets. BMVC 2020 - [c48]Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song:
Regularizing Neural Networks via Minimizing Hyperspherical Energy. CVPR 2020: 6916-6925 - [c47]Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz:
Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection. CVPR 2020: 10595-10604 - [c46]Yang Zou, Xiaodong Yang, Zhiding Yu, B. V. K. Vijaya Kumar, Jan Kautz:
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification. ECCV (2) 2020: 87-104 - [c45]Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz:
UFO2: A Unified Framework Towards Omni-supervised Object Detection. ECCV (19) 2020: 288-313 - [c44]Beidi Chen, Weiyang Liu, Zhiding Yu, Jan Kautz, Anshumali Shrivastava, Animesh Garg, Animashree Anandkumar:
Angular Visual Hardness. ICML 2020: 1637-1648 - [c43]Wuyang Chen, Zhiding Yu, Zhangyang Wang, Animashree Anandkumar:
Automated Synthetic-to-Real Generalization. ICML 2020: 1746-1756 - [c42]Yujia Huang, James Gornet, Sihui Dai, Zhiding Yu, Tan M. Nguyen, Doris Y. Tsao, Anima Anandkumar:
Neural Networks with Recurrent Generative Feedback. NeurIPS 2020 - [c41]Weili Nie, Zhiding Yu, Lei Mao, Ankit B. Patel, Yuke Zhu, Anima Anandkumar:
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning. NeurIPS 2020 - [i30]Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz:
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection. CoRR abs/2004.04725 (2020) - [i29]Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. CoRR abs/2006.16806 (2020) - [i28]Wuyang Chen, Zhiding Yu, Zhangyang Wang, Anima Anandkumar:
Automated Synthetic-to-Real Generalization. CoRR abs/2007.06965 (2020) - [i27]Guilin Liu, Rohan Taori, Ting-Chun Wang, Zhiding Yu, Shiqiu Liu, Fitsum A. Reda, Karan Sapra, Andrew Tao, Bryan Catanzaro:
Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter. CoRR abs/2007.07243 (2020) - [i26]Yujia Huang, James Gornet, Sihui Dai, Zhiding Yu, Tan M. Nguyen, Doris Y. Tsao, Anima Anandkumar:
Neural Networks with Recurrent Generative Feedback. CoRR abs/2007.09200 (2020) - [i25]Grigorios G. Chrysos, Jean Kossaifi, Zhiding Yu, Anima Anandkumar:
Unsupervised Controllable Generation with Self-Training. CoRR abs/2007.09250 (2020) - [i24]Yang Zou, Xiaodong Yang, Zhiding Yu, B. V. K. Vijaya Kumar, Jan Kautz:
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification. CoRR abs/2007.10315 (2020) - [i23]Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yong Jae Lee:
Delving Deeper into Anti-aliasing in ConvNets. CoRR abs/2008.09604 (2020) - [i22]Weili Nie, Zhiding Yu, Lei Mao, Ankit B. Patel, Yuke Zhu, Animashree Anandkumar:
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning. CoRR abs/2010.00763 (2020) - [i21]Haoxuan Wang, Anqi Liu, Zhiding Yu, Yisong Yue, Anima Anandkumar:
Distributionally Robust Learning for Unsupervised Domain Adaptation. CoRR abs/2010.05784 (2020) - [i20]Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz:
UFO$^2$: A Unified Framework towards Omni-supervised Object Detection. CoRR abs/2010.10804 (2020)
2010 – 2019
- 2019
- [c40]Zhedong Zheng, Xiaodong Yang, Zhiding Yu, Liang Zheng, Yi Yang, Jan Kautz:
Joint Discriminative and Generative Learning for Person Re-Identification. CVPR 2019: 2138-2147 - [c39]Yang Zou, Zhiding Yu, Xiaofeng Liu, B. V. K. Vijaya Kumar, Jinsong Wang:
Confidence Regularized Self-Training. ICCV 2019: 5981-5990 - [i19]Zhedong Zheng, Xiaodong Yang, Zhiding Yu, Liang Zheng, Yi Yang, Jan Kautz:
Joint Discriminative and Generative Learning for Person Re-identification. CoRR abs/1904.07223 (2019) - [i18]Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song:
Compressive Hyperspherical Energy Minimization. CoRR abs/1906.04892 (2019) - [i17]Yang Zou, Zhiding Yu, Xiaofeng Liu, B. V. K. Vijaya Kumar, Jinsong Wang:
Confidence Regularized Self-Training. CoRR abs/1908.09822 (2019) - [i16]Beidi Chen, Weiyang Liu, Animesh Garg, Zhiding Yu, Anshumali Shrivastava, Jan Kautz, Anima Anandkumar:
Angular Visual Hardness. CoRR abs/1912.02279 (2019) - 2018
- [c38]Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song:
Decoupled Networks. CVPR 2018: 2771-2779 - [c37]Xin Yu, Zhiding Yu, Srikumar Ramalingam:
Learning Strict Identity Mappings in Deep Residual Networks. CVPR 2018: 4432-4440 - [c36]Yang Zou, Zhiding Yu, B. V. K. Vijaya Kumar, Jinsong Wang:
Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-training. ECCV (3) 2018: 297-313 - [c35]Zhiding Yu, Weiyang Liu, Yang Zou, Chen Feng, Srikumar Ramalingam, B. V. K. Vijaya Kumar, Jan Kautz:
Simultaneous Edge Alignment and Learning. ECCV (3) 2018: 400-417 - [c34]Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song:
Learning towards Minimum Hyperspherical Energy. NeurIPS 2018: 6225-6236 - [i15]Xin Yu, Zhiding Yu, Srikumar Ramalingam:
Learning Strict Identity Mappings in Deep Residual Networks. CoRR abs/1804.01661 (2018) - [i14]Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song:
Decoupled Networks. CoRR abs/1804.08071 (2018) - [i13]Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song:
Learning towards Minimum Hyperspherical Energy. CoRR abs/1805.09298 (2018) - [i12]Zhiding Yu, Weiyang Liu, Yang Zou, Chen Feng, Srikumar Ramalingam, B. V. K. Vijaya Kumar, Jan Kautz:
Simultaneous Edge Alignment and Learning. CoRR abs/1808.01992 (2018) - [i11]Yang Zou, Zhiding Yu, B. V. K. Vijaya Kumar, Jinsong Wang:
Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training. CoRR abs/1810.07911 (2018) - [i10]Guilin Liu, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Andrew Tao, Bryan Catanzaro:
Partial Convolution based Padding. CoRR abs/1811.11718 (2018) - 2017
- [b1]Zhiding Yu:
Learning Structured and Deep Representations for Traffc Scene Understanding. Carnegie Mellon University, USA, 2017 - [j4]Xi Peng, Zhiding Yu, Zhang Yi, Huajin Tang:
Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering. IEEE Trans. Cybern. 47(4): 1053-1066 (2017) - [c33]Zhiding Yu, Chen Feng, Ming-Yu Liu, Srikumar Ramalingam:
CASENet: Deep Category-Aware Semantic Edge Detection. CVPR 2017: 1761-1770 - [c32]Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song:
SphereFace: Deep Hypersphere Embedding for Face Recognition. CVPR 2017: 6738-6746 - [i9]Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song:
SphereFace: Deep Hypersphere Embedding for Face Recognition. CoRR abs/1704.08063 (2017) - [i8]Zhiding Yu, Chen Feng, Ming-Yu Liu, Srikumar Ramalingam:
CASENet: Deep Category-Aware Semantic Edge Detection. CoRR abs/1705.09759 (2017) - [i7]Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhiding Yu, Bo Dai, Tuo Zhao, Le Song:
Deep Hyperspherical Learning. CoRR abs/1711.03189 (2017) - 2016
- [j3]Xi Peng, Miaolong Yuan, Zhiding Yu, Wei-Yun Yau, Lei Zhang:
Semi-supervised subspace learning with L2graph. Neurocomputing 208: 143-152 (2016) - [c31]Zhiding Yu, Weiyang Liu, Wenbo Liu, Yingzhen Yang, Ming Li, B. V. K. Vijaya Kumar:
On Order-Constrained Transitive Distance Clustering. AAAI 2016: 2293-2299 - [c30]Weiyang Liu, Zhiding Yu, Yandong Wen, Rongmei Lin, Meng Yang:
Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification. BMVC 2016 - [c29]Weiyang Liu, Yandong Wen, Zhiding Yu, Meng Yang:
Large-Margin Softmax Loss for Convolutional Neural Networks. ICML 2016: 507-516 - [i6]Weiyang Liu, Yandong Wen, Zhiding Yu, Meng Yang:
Large-Margin Softmax Loss for Convolutional Neural Networks. CoRR abs/1612.02295 (2016) - 2015
- [j2]Weiyang Liu, Zhiding Yu, Lijia Lu, Yandong Wen, Hui Li, Yuexian Zou:
KCRC-LCD: Discriminative kernel collaborative representation with locality constrained dictionary for visual categorization. Pattern Recognit. 48(10): 3076-3092 (2015) - [c28]Wenbo Liu, Li Yi, Zhiding Yu, Xiaobing Zou, Bhiksha Raj, Ming Li:
Efficient autism spectrum disorder prediction with eye movement: A machine learning framework. ACII 2015: 649-655 - [c27]Weiyang Liu, Zhiding Yu, Yandong Wen, Meng Yang, Yuexian Zou:
Multi-kernel collaborative representation for image classification. ICIP 2015: 21-25 - [c26]Weiyang Liu, Zhiding Yu, Meng Yang, Lijia Lu, Yuexian Zou:
Joint kernel dictionary and classifier learning for sparse coding via locality preserving K-SVD. ICME 2015: 1-6 - [c25]Zhiding Yu, Cha Zhang:
Image based Static Facial Expression Recognition with Multiple Deep Network Learning. ICMI 2015: 435-442 - [c24]Zhiding Yu, Weiyang Liu, Wenbo Liu, Xi Peng, Zhuo Hui, B. V. K. Vijaya Kumar:
Generalized Transitive Distance with Minimum Spanning Random Forest. IJCAI 2015: 2205-2211 - [c23]Wenbo Liu, Zhiding Yu, Bhiksha Raj, Ming Li:
Locality constrained transitive distance clustering on speech data. INTERSPEECH 2015: 2917-2921 - [c22]Zhiding Yu, Wende Zhang, B. V. K. Vijaya Kumar, Dan Levi:
Structured Hough Voting for Vision-Based Highway Border Detection. WACV 2015: 246-253 - [i5]Weiyang Liu, Zhiding Yu, Yingzhen Yang, Meng Yang:
Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification. CoRR abs/1511.04601 (2015) - [i4]Weiyang Liu, Zhiding Yu, Meng Yang:
Robust Elastic Net Regression. CoRR abs/1511.04690 (2015) - 2014
- [c21]Zhiding Yu, Chunjing Xu, Deyu Meng, Zhuo Hui, Fanyi Xiao, Wenbo Liu, Jianzhuang Liu:
Transitive Distance Clustering with K-Means Duality. CVPR 2014: 987-994 - [c20]Zhiding Yu, Wende Zhang, B. V. K. Vijaya Kumar:
Robust rear-view ground surface detection with hidden state conditional random field and confidence propagation. ICIP 2014: 991-995 - [c19]