Yu, Zhiding

63 publications

ICLRW 2025 AIDE: Agentically Improve Visual Language Model with Domain Experts Ming-Chang Chiu, Fuxiao Liu, Karan Sapra, Andrew Tao, Yaser Yacoob, Xuezhe Ma, Zhiding Yu, Guilin Liu

CVPR 2025 Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought Yunze Man, De-An Huang, Guilin Liu, Shiwei Sheng, Shilong Liu, Liang-Yan Gui, Jan Kautz, Yu-Xiong Wang, Zhiding Yu

NeurIPS 2025 Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models Guo Chen, Zhiqi Li, Shihao Wang, Jindong Jiang, Yicheng Liu, Lidong Lu, De-An Huang, Wonmin Byeon, Matthieu Le, Max Ehrlich, Tong Lu, Limin Wang, Bryan Catanzaro, Jan Kautz, Andrew Tao, Zhiding Yu, Guilin Liu

ICLR 2025 Eagle: Exploring the Design Space for Multimodal LLMs with Mixture of Encoders Min Shi, Fuxiao Liu, Shihao Wang, Shijia Liao, Subhashree Radhakrishnan, Yilin Zhao, De-An Huang, Hongxu Yin, Karan Sapra, Yaser Yacoob, Humphrey Shi, Bryan Catanzaro, Andrew Tao, Jan Kautz, Zhiding Yu, Guilin Liu

ICCV 2025 Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training Zhenxin Li, Shihao Wang, Shiyi Lan, Zhiding Yu, Zuxuan Wu, Jose M. Alvarez

ICLR 2025 Neural Eulerian Scene Flow Fields Kyle Vedder, Neehar Peri, Ishan Khatri, Siyi Li, Eric Eaton, Mehmet Kemal Kocamaz, Yue Wang, Zhiding Yu, Deva Ramanan, Joachim Pehserl

CVPR 2025 OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning Shihao Wang, Zhiding Yu, Xiaohui Jiang, Shiyi Lan, Min Shi, Nadine Chang, Jan Kautz, Ying Li, Jose M. Alvarez

ICML 2025 RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression Payman Behnam, Yaosheng Fu, Ritchie Zhao, Po-An Tsai, Zhiding Yu, Alexey Tumanov

ICLR 2025 T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching Zizheng Pan, Bohan Zhuang, De-An Huang, Weili Nie, Zhiding Yu, Chaowei Xiao, Jianfei Cai, Anima Anandkumar

ECCV 2024 A Semantic Space Is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties Junfei Xiao, Ziqi Zhou, Wenxuan Li, Shiyi Lan, Jieru Mei, Zhiding Yu, Bingchen Zhao, Alan Yuille, Yuyin Zhou, Cihang Xie

WACV 2024 Differentially Private Video Activity Recognition Zelun Luo, Yuliang Zou, Yijin Yang, Zane Durante, De-An Huang, Zhiding Yu, Chaowei Xiao, Li Fei-Fei, Animashree Anandkumar

CVPR 2024 Improving Distant 3D Object Detection Using 2D Box Supervision Zetong Yang, Zhiding Yu, Chris Choy, Renhao Wang, Anima Anandkumar, Jose M. Alvarez

CVPR 2024 Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving? Zhiqi Li, Zhiding Yu, Shiyi Lan, Jiahan Li, Jan Kautz, Tong Lu, Jose M. Alvarez

ECCV 2024 LITA: Language Instructed Temporal-Localization Assistant De-An Huang, Shijia Liao, Subhashree Radhakrishnan, Hongxu Yin, Pavlo Molchanov, Zhiding Yu, Jan Kautz

NeurIPS 2024 Memorize What Matters: Emergent Scene Decomposition from Multitraverse Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, Jose M. Alvarez

TMLR 2024 Prismer: A Vision-Language Model with Multi-Task Experts Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar

CVPRW 2024 What Is Point Supervision Worth in Video Instance Segmentation? Shuaiyi Huang, De-An Huang, Zhiding Yu, Shiyi Lan, Subhashree Radhakrishnan, José M. Álvarez, Abhinav Shrivastava, Anima Anandkumar

ICML 2023 A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification Jiachen Sun, Jiongxiao Wang, Weili Nie, Zhiding Yu, Zhuoqing Mao, Chaowei Xiao

ICCV 2023 End-to-End 3D Tracking with Decoupled Queries Yanwei Li, Zhiding Yu, Jonah Philion, Anima Anandkumar, Sanja Fidler, Jiaya Jia, Jose Alvarez

ICCV 2023 FB-BEV: BEV Representation from Forward-Backward View Transformations Zhiqi Li, Zhiding Yu, Wenhai Wang, Anima Anandkumar, Tong Lu, Jose M. Alvarez

ICCV 2023 FocalFormer3D: Focusing on Hard Instance for 3D Object Detection Yilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Anima Anandkumar, Jiaya Jia, Jose M. Alvarez

ICCV 2023 Fully Attentional Networks with Self-Emerging Token Labeling Bingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, Jose M. Alvarez

IJCAI 2023 Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan

CVPR 2023 Vision Transformers Are Good Mask Auto-Labelers Shiyi Lan, Xitong Yang, Zhiding Yu, Zuxuan Wu, Jose M. Alvarez, Anima Anandkumar

CVPR 2023 VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion Yiming Li, Zhiding Yu, Christopher Choy, Chaowei Xiao, Jose M. Alvarez, Sanja Fidler, Chen Feng, Anima Anandkumar

CVPR 2022 Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions Huaizu Jiang, Xiaojian Ma, Weili Nie, Zhiding Yu, Yuke Zhu, Anima Anandkumar

CVPR 2022 CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs Jiteng Mu, Shalini De Mello, Zhiding Yu, Nuno Vasconcelos, Xiaolong Wang, Jan Kautz, Sifei Liu

CVPR 2022 FreeSOLO: Learning to Segment Objects Without Annotations Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, Jose M. Alvarez

CVPR 2022 How Much More Data Do I Need? Estimating Requirements for Downstream Tasks Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, Jose M. Alvarez, Zhiding Yu, Sanja Fidler, Marc T. Law

NeurIPS 2022 MinVIS: A Minimal Video Instance Segmentation Framework Without Video-Based Training De-An Huang, Zhiding Yu, Anima Anandkumar

CVPR 2022 Not All Labels Are Equal: Rationalizing the Labeling Costs for Training Object Detection Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, Jose M. Alvarez

CVPR 2022 Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Ping Luo, Tong Lu

ICLR 2022 RelViT: Concept-Guided Vision Transformer for Visual Relational Reasoning Xiaojian Ma, Weili Nie, Zhiding Yu, Huaizu Jiang, Chaowei Xiao, Yuke Zhu, Song-Chun Zhu, Anima Anandkumar

NeurIPS 2022 Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models Manli Shu, Weili Nie, De-An Huang, Zhiding Yu, Tom Goldstein, Anima Anandkumar, Chaowei Xiao

ICML 2022 Understanding the Robustness in Vision Transformers Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, Jose M. Alvarez

NeurIPS 2021 Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions Jiachen Sun, Yulong Cao, Christopher B Choy, Zhiding Yu, Anima Anandkumar, Zhuoqing Morley Mao, Chaowei Xiao

NeurIPS 2021 AugMax: Adversarial Composition of Random Augmentations for Robust Training Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang

ICLR 2021 Contrastive Syn-to-Real Generalization Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, Jose M. Alvarez, Zhangyang Wang, Anima Anandkumar

NeurIPS 2021 Coupled Segmentation and Edge Learning via Dynamic Graph Propagation Zhiding Yu, Rui Huang, Wonmin Byeon, Sifei Liu, Guilin Liu, Thomas Breuel, Anima Anandkumar, Jan Kautz

ICCV 2021 DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision Shiyi Lan, Zhiding Yu, Christopher Choy, Subhashree Radhakrishnan, Guilin Liu, Yuke Zhu, Larry S. Davis, Anima Anandkumar

ICML 2021 Image-Level or Object-Level? a Tale of Two Resampling Strategies for Long-Tailed Detection Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Animashree Anandkumar, Sanja Fidler, Jose M Alvarez

ICML 2021 SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies Linxi Fan, Guanzhi Wang, De-An Huang, Zhiding Yu, Li Fei-Fei, Yuke Zhu, Animashree Anandkumar

NeurIPS 2021 SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Ping Luo

ICML 2020 Angular Visual Hardness Beidi Chen, Weiyang Liu, Zhiding Yu, Jan Kautz, Anshumali Shrivastava, Animesh Garg, Animashree Anandkumar

ICML 2020 Automated Synthetic-to-Real Generalization Wuyang Chen, Zhiding Yu, Zhangyang Wang, Animashree Anandkumar

NeurIPS 2020 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

ECCV 2020 Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification Yang Zou, Xiaodong Yang, Zhiding Yu, B.V.K. Vijaya Kumar, Jan Kautz

NeurIPS 2020 Neural Networks with Recurrent Generative Feedback Yujia Huang, James Gornet, Sihui Dai, Zhiding Yu, Tan Nguyen, Doris Tsao, Anima Anandkumar

ECCV 2020 UFO²: A Unified Framework Towards Omni-Supervised Object Detection Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz

ICMLW 2019 Angular Visual Hardness Beidi Chen, Weiyang Liu, Animesh Garg, Zhiding Yu, Anshumali Shrivastava, Anima Anandkumar

NeurIPS 2018 Learning Towards Minimum Hyperspherical Energy Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song

ECCV 2018 Simultaneous Edge Alignment and Learning Zhiding Yu, Weiyang Liu, Yang Zou, Chen Feng, Srikumar Ramalingam, B. V. K. Vijaya Kumar, Jan Kautz

ECCV 2018 Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training Yang Zou, Zhiding Yu, B.V.K. Vijaya Kumar, Jinsong Wang

CVPR 2017 CASENet: Deep Category-Aware Semantic Edge Detection Zhiding Yu, Chen Feng, Ming-Yu Liu, Srikumar Ramalingam

NeurIPS 2017 Deep Hyperspherical Learning Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhiding Yu, Bo Dai, Tuo Zhao, Le Song

CVPR 2017 SphereFace: Deep Hypersphere Embedding for Face Recognition Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song

ICML 2016 Large-Margin SoftMax Loss for Convolutional Neural Networks Weiyang Liu, Yandong Wen, Zhiding Yu, Meng Yang

AAAI 2016 On Order-Constrained Transitive Distance Clustering Zhiding Yu, Weiyang Liu, Wenbo Liu, Yingzhen Yang, Ming Li, B. V. K. Vijaya Kumar

IJCAI 2015 Generalized Transitive Distance with Minimum Spanning Random Forest Zhiding Yu, Weiyang Liu, Wenbo Liu, Xi Peng, Zhuo Hui, B. V. K. Vijaya Kumar

WACV 2015 Structured Hough Voting for Vision-Based Highway Border Detection Zhiding Yu, Wende Zhang, B. V. K. Vijaya Kumar, Dan Levi

CVPR 2014 Transitive Distance Clustering with K-Means Duality Zhiding Yu, Chunjing Xu, Deyu Meng, Zhuo Hui, Fanyi Xiao, Wenbo Liu, Jianzhuang Liu

CVPR 2012 Bag of Textons for Image Segmentation via Soft Clustering and Convex Shift Zhiding Yu, Ang Li, Oscar C. Au, Chunjing Xu

CVPR 2011 Nonparametric Density Estimation on a Graph: Learning Framework, Fast Approximation and Application in Image Segmentation Zhiding Yu, Oscar C. Au, Ketan Tang, Chunjing Xu