Zhiding Yu

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 131

Top Venues

Publications

Bingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, José M. Álvarez
Fully Attentional Networks with Self-emerging Token Labeling. CoRR (2024)
Renhao Wang, Zhiding Yu, Shiyi Lan, Enze Xie, Ke Chen, Anima Anandkumar, José M. Álvarez
SF3D: SlowFast Temporal 3D Object Detection. IV (2024)
Hanrong Ye, De-An Huang, Yao Lu, Zhiding Yu, Wei Ping, Andrew Tao, Jan Kautz, Song Han, Dan Xu, Pavlo Molchanov, Hongxu Yin
X-VILA: Cross-Modality Alignment for Large Language Model. CoRR (2024)
Zizheng Pan, Bohan Zhuang, De-An Huang, Weili Nie, Zhiding Yu, Chaowei Xiao, Jianfei Cai, Anima Anandkumar
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching. CoRR (2024)
Zelun Luo, Yuliang Zou, Yijin Yang, Zane Durante, De-An Huang, Zhiding Yu, Chaowei Xiao, Li Fei-Fei, Animashree Anandkumar
Differentially Private Video Activity Recognition. WACV (2024)
Zhenxin Li, Kailin Li, Shihao Wang, Shiyi Lan, Zhiding Yu, Yishen Ji, Zhiqi Li, Ziyue Zhu, Jan Kautz, Zuxuan Wu, Yu-Gang Jiang, José M. Álvarez
Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation. CoRR (2024)
Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, José M. Álvarez
Memorize What Matters: Emergent Scene Decomposition from Multitraverse. CoRR (2024)
Barath Lakshmanan, Joshua Chen, Shiyi Lan, Maying Shen, Zhiding Yu, José M. Álvarez
Exploring Camera Encoder Designs for Autonomous Driving Perception. CoRR (2024)
Shuaiyi Huang, De-An Huang, Zhiding Yu, Shiyi Lan, Subhashree Radhakrishnan, José M. Álvarez, Abhinav Shrivastava, Anima Anandkumar
What is Point Supervision Worth in Video Instance Segmentation? CoRR (2024)
De-An Huang, Shijia Liao, Subhashree Radhakrishnan, Hongxu Yin, Pavlo Molchanov, Zhiding Yu, Jan Kautz
LITA: Language Instructed Temporal-Localization Assistant. CoRR (2024)
Shihao Wang, Zhiding Yu, Xiaohui Jiang, Shiyi Lan, Min Shi, Nadine Chang, Jan Kautz, Ying Li, José M. Álvarez
OmniDrive: A Holistic LLM-Agent Framework for Autonomous Driving with 3D Perception, Reasoning and Planning. CoRR (2024)
Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar
Prismer: A Vision-Language Model with Multi-Task Experts. Trans. Mach. Learn. Res. 2024 (2024)
Zetong Yang, Zhiding Yu, Christopher B. Choy, Renhao Wang, Anima Anandkumar, José M. Álvarez
Improving Distant 3D Object Detection Using 2D Box Supervision. CoRR (2024)
Jiachen Sun, Jiongxiao Wang, Weili Nie, Zhiding Yu, Zhuoqing Mao, Chaowei Xiao
A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification. ICML (2023)
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 (2023)
Yanwei Li, Zhiding Yu, Jonah Philion, Anima Anandkumar, Sanja Fidler, Jiaya Jia, Jose Alvarez
End-to-end 3D Tracking with Decoupled Queries. ICCV (2023)
Bingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, José M. Álvarez
Fully Attentional Networks with Self-emerging Token Labeling. ICCV (2023)
Yilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Animashree Anandkumar, Jiaya Jia, José M. Álvarez
FocalFormer3D : Focusing on Hard Instance for 3D Object Detection. CoRR (2023)
Zhiqi Li, Zhiding Yu, Wenhai Wang, Anima Anandkumar, Tong Lu, José M. Álvarez
FB-BEV: BEV Representation from Forward-Backward View Transformations. CoRR (2023)
Yiming Li, Sihang Li, Xinhao Liu, Moonjun Gong, Kenan Li, Nuo Chen, Zijun Wang, Zhiheng Li, Tao Jiang, Fisher Yu, Yue Wang, Hang Zhao, Zhiding Yu, Chen Feng
SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving. CoRR (2023)
Shiyi Lan, Xitong Yang, Zhiding Yu, Zuxuan Wu, José M. Álvarez, Anima Anandkumar
Vision Transformers are Good Mask Auto-Labelers. CVPR (2023)
Zelun Luo, Yuliang Zou, Yijin Yang, Zane Durante, De-An Huang, Zhiding Yu, Chaowei Xiao, Li Fei-Fei, Animashree Anandkumar
Differentially Private Video Activity Recognition. CoRR (2023)
Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar
Prismer: A Vision-Language Model with An Ensemble of Experts. CoRR (2023)
Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yuheng Li, Yong Jae Lee
Delving Deeper into Anti-Aliasing in ConvNets. Int. J. Comput. Vis. 131 (1) (2023)
Yilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Anima Anandkumar, Jiaya Jia, José M. Álvarez
FocalFormer3D : Focusing on Hard Instance for 3D Object Detection. ICCV (2023)
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 (2023)
Yiming Li, Zhiding Yu, Christopher B. Choy, Chaowei Xiao, José M. Álvarez, Sanja Fidler, Chen Feng, Anima Anandkumar
VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion. CVPR (2023)
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) (2023)
Zhiqi Li, Zhiding Yu, Shiyi Lan, Jiahan Li, Jan Kautz, Tong Lu, José M. Álvarez
Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving? CoRR (2023)
Zhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Mohammad Shoeybi, Ming-Yu Liu, Yuke Zhu, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. EMNLP (Findings) (2023)
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. ACM Trans. Graph. 42 (4) (2023)
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 (2023)
Zhiqi Li, Zhiding Yu, Wenhai Wang, Anima Anandkumar, Tong Lu, José M. Álvarez
FB-BEV: BEV Representation from Forward-Backward View Transformations. ICCV (2023)
Junfei Xiao, Ziqi Zhou, Wenxuan Li, Shiyi Lan, Jieru Mei, Zhiding Yu, Alan L. Yuille, Yuyin Zhou, Cihang Xie
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties. CoRR (2023)
Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach. IJCAI (2023)
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) (2023)
Zhiqi Li, Zhiding Yu, David Austin, Mingsheng Fang, Shiyi Lan, Jan Kautz, José M. Álvarez
FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation. CoRR (2023)
Shiyi Lan, Xitong Yang, Zhiding Yu, Zuxuan Wu, Jose M. Alvarez, Anima Anandkumar
Vision Transformers Are Good Mask Auto-Labelers. CoRR (2023)
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)
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) (2022)
De-An Huang, Zhiding Yu, Anima Anandkumar
MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training. CoRR (2022)
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)
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 (2022)
Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, Jose M. Alvarez
Understanding The Robustness in Vision Transformers. ICML (2022)
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)
De-An Huang, Zhiding Yu, Anima Anandkumar
MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training. NeurIPS (2022)
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)
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 (2022)
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) (2022)
Huaizu Jiang, Xiaojian Ma, Weili Nie, Zhiding Yu, Yuke Zhu, Anima Anandkumar
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions. CoRR (2022)
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)
Jiachen Sun, Weili Nie, Zhiding Yu, Z. Morley Mao, Chaowei Xiao
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition. CoRR (2022)
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)
Jiachen Sun, Qingzhao Zhang, Bhavya Kailkhura, Zhiding Yu, Chaowei Xiao, Z. Morley Mao
Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions. CoRR (2022)
Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Anima Anandkumar, Jiashi Feng, Jose M. Alvarez
Understanding The Robustness in Vision Transformers. CoRR (2022)
Jiteng Mu, Shalini De Mello, Zhiding Yu, Nuno Vasconcelos, Xiaolong Wang, Jan Kautz, Sifei Liu
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs. CoRR (2022)
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)
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 (2022)
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 (2022)
Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, Jose M. Alvarez
FreeSOLO: Learning to Segment Objects without Annotations. CoRR (2022)
Enze Xie, Zhiding Yu, Daquan Zhou, Jonah Philion, Anima Anandkumar, Sanja Fidler, Ping Luo, Jose M. Alvarez
BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation. CoRR (2022)
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)
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 (2021)
Grigorios G. Chrysos, Jean Kossaifi, Zhiding Yu, Anima Anandkumar
Unsupervised Controllable Generation with Self-Training. IJCNN (2021)
Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, Jose M. Alvarez, Zhangyang Wang, Anima Anandkumar
Contrastive Syn-to-Real Generalization. CoRR (2021)
Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, Jose M. Alvarez
Towards Reducing Labeling Cost in Deep Object Detection. CoRR (2021)
Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, Jose M. Alvarez, Zhangyang Wang, Anima Anandkumar
Contrastive Syn-to-Real Generalization. ICLR (2021)
Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Ping Luo
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers. CoRR (2021)
Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Tong Lu, Ping Luo
Panoptic SegFormer. CoRR (2021)
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)
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)
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)
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)
Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang
AugMax: Adversarial Composition of Random Augmentations for Robust Training. CoRR (2021)
Taihong Xiao, Sifei Liu, Shalini De Mello, Zhiding Yu, Jan Kautz, Ming-Hsuan Yang
Learning Contrastive Representation for Semantic Correspondence. CoRR (2021)
Sina Mohseni, Haotao Wang, Zhiding Yu, Chaowei Xiao, Zhangyang Wang, Jay Yadawa
Practical Machine Learning Safety: A Survey and Primer. CoRR (2021)
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)
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) (2021)
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 (2021)
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)
Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang
AugMax: Adversarial Composition of Random Augmentations for Robust Training. NeurIPS (2021)
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 (2021)
Yang Zou, Xiaodong Yang, Zhiding Yu, B. V. K. Vijaya Kumar, Jan Kautz
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification. CoRR (2020)
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)
Grigorios G. Chrysos, Jean Kossaifi, Zhiding Yu, Anima Anandkumar
Unsupervised Controllable Generation with Self-Training. CoRR (2020)
Beidi Chen, Weiyang Liu, Zhiding Yu, Jan Kautz, Anshumali Shrivastava, Animesh Garg, Animashree Anandkumar
Angular Visual Hardness. ICML (2020)
Yujia Huang, James Gornet, Sihui Dai, Zhiding Yu, Tan M. Nguyen, Doris Y. Tsao, Anima Anandkumar
Neural Networks with Recurrent Generative Feedback. CoRR (2020)
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)
Wuyang Chen, Zhiding Yu, Zhangyang Wang, Animashree Anandkumar
Automated Synthetic-to-Real Generalization. ICML (2020)
Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yong Jae Lee
Delving Deeper into Anti-aliasing in ConvNets. BMVC (2020)
Haoxuan Wang, Anqi Liu, Zhiding Yu, Yisong Yue, Anima Anandkumar
Distributionally Robust Learning for Unsupervised Domain Adaptation. CoRR (2020)
Yujia Huang, James Gornet, Sihui Dai, Zhiding Yu, Tan M. Nguyen, Doris Y. Tsao, Anima Anandkumar
Neural Networks with Recurrent Generative Feedback. NeurIPS (2020)
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 (2020)
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 (2020)
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz
: A Unified Framework Towards Omni-supervised Object Detection. ECCV (19) (2020)
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 (2020)
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 (2020)
Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yong Jae Lee
Delving Deeper into Anti-aliasing in ConvNets. CoRR (2020)
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)
Wuyang Chen, Zhiding Yu, Zhangyang Wang, Anima Anandkumar
Automated Synthetic-to-Real Generalization. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhiding Yu