Zhiding Yu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
73
Venues
20
Active years
2009–2026
Best venue rank
A*
Where they publish
Papers
73 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | GHOST: Getting to the Bottom of Hallucinations with A Multi-round Consistency Benchmark. | Vibashan VS, Nadine Chang, Jenny Schmalfuss, Vishal M. Patel, Zhiding Yu, Jos M. lvarez |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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, Jos M. lvarez |
| 2025 | ICCV | STORM: Token-Efficient Long Video Understanding for Multimodal LLMs. | Jindong Jiang, Xiuyu Li, Zhijian Liu, Muyang Li, Guo Chen, Zhiqi Li, De-An Huang, Guilin Liu, Zhiding Yu, Kurt Keutzer, Sungjin Ahn, Jan Kautz, Hongxu Yin, Yao Lu, Song Han, Wonmin Byeon |
| 2025 | ICCV | Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training. | Zhenxin Li, Shihao Wang, Shiyi Lan, Zhiding Yu, Zuxuan Wu, Jos M. lvarez |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICML | 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 |
| 2025 | IROS | Enhancing Autonomous Driving Safety with Collision Scenario Integration. | Zi Wang, Shiyi Lan, Xinglong Sun, Nadine Chang, Zhenxin Li, Zhiding Yu, Jos M. lvarez |
| 2024 | CVPR | What is Point Supervision Worth in Video Instance Segmentation? | Shuaiyi Huang, De-An Huang, Zhiding Yu, Shiyi Lan, Subhashree Radhakrishnan, Jos M. lvarez, Abhinav Shrivastava, Anima Anandkumar |
| 2024 | CVPR | 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, Jos M. lvarez |
| 2024 | CVPR | Improving Distant 3D Object Detection Using 2D Box Supervision. | Zetong Yang, Zhiding Yu, Christopher B. Choy, Renhao Wang, Anima Anandkumar, Jos M. lvarez |
| 2024 | ECCV | LITA: Language Instructed Temporal-Localization Assistant. | De-An Huang, Shijia Liao, Subhashree Radhakrishnan, Hongxu Yin, Pavlo Molchanov, Zhiding Yu, Jan Kautz |
| 2024 | ECCV | 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 L. Yuille, Yuyin Zhou, Cihang Xie |
| 2024 | IROS | SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving. | 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 |
| 2024 | WACV | 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 |
| 2023 | CVPR | Vision Transformers are Good Mask Auto-Labelers. | Shiyi Lan, Xitong Yang, Zhiding Yu, Zuxuan Wu, Jos M. lvarez, Anima Anandkumar |
| 2023 | CVPR | VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion. | Yiming Li, Zhiding Yu, Christopher B. Choy, Chaowei Xiao, Jos M. lvarez, Sanja Fidler, Chen Feng, Anima Anandkumar |
| 2023 | EMNLP | Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. | 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 |
| 2023 | ICCV | FocalFormer3D : Focusing on Hard Instance for 3D Object Detection. | Yilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Anima Anandkumar, Jiaya Jia, Jos M. lvarez |
| 2023 | ICCV | End-to-end 3D Tracking with Decoupled Queries. | Yanwei Li, Zhiding Yu, Jonah Philion, Anima Anandkumar, Sanja Fidler, Jiaya Jia, Jose Alvarez |
| 2023 | ICCV | FB-BEV: BEV Representation from Forward-Backward View Transformations. | Zhiqi Li, Zhiding Yu, Wenhai Wang, Anima Anandkumar, Tong Lu, Jos M. lvarez |
| 2023 | ICCV | Fully Attentional Networks with Self-emerging Token Labeling. | Bingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, Jos M. lvarez |
| 2023 | ICML | 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 |
| 2023 | IJCAI | Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach. | Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan |
| 2022 | CVPR | Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection. | Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taix, Jos M. lvarez |
| 2022 | CVPR | Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions. | Huaizu Jiang, Xiaojian Ma, Weili Nie, Zhiding Yu, Yuke Zhu, Anima Anandkumar |
| 2022 | CVPR | Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers. | Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, Jos M. lvarez, Ping Luo, Tong Lu |
| 2022 | CVPR | How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. | Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, Jos M. lvarez, Zhiding Yu, Sanja Fidler, Marc T. Law |
| 2022 | CVPR | CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs. | Jiteng Mu, Shalini De Mello, Zhiding Yu, Nuno Vasconcelos, Xiaolong Wang, Jan Kautz, Sifei Liu |
| 2022 | CVPR | FreeSOLO: Learning to Segment Objects without Annotations. | Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, Jos M. lvarez |
| 2022 | ICLR | 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 |
| 2022 | ICML | Understanding The Robustness in Vision Transformers. | Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, Jos M. lvarez |
| 2021 | ICCV | DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision. | Shiyi Lan, Zhiding Yu, Christopher B. Choy, Subhashree Radhakrishnan, Guilin Liu, Yuke Zhu, Larry S. Davis, Anima Anandkumar |
| 2021 | ICLR | Contrastive Syn-to-Real Generalization. | Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, Jos M. lvarez, Zhangyang Wang, Anima Anandkumar |
| 2021 | ICML | 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, Jos M. lvarez |
| 2021 | ICML | 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 |
| 2021 | IJCNN | Unsupervised Controllable Generation with Self-Training. | Grigorios G. Chrysos, Jean Kossaifi, Zhiding Yu, Anima Anandkumar |
| 2020 | BMVC | Delving Deeper into Anti-aliasing in ConvNets. | Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yong Jae Lee |
| 2020 | CVPR | Regularizing Neural Networks via Minimizing Hyperspherical Energy. | Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song |
| 2020 | CVPR | Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection. | Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz |
| 2020 | ECCV | UFO | Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz |
| 2020 | ECCV | Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification. | Yang Zou, Xiaodong Yang, Zhiding Yu, B. V. K. Vijaya Kumar, Jan Kautz |
| 2020 | ICML | Angular Visual Hardness. | Beidi Chen, Weiyang Liu, Zhiding Yu, Jan Kautz, Anshumali Shrivastava, Animesh Garg, Animashree Anandkumar |
| 2020 | ICML | Automated Synthetic-to-Real Generalization. | Wuyang Chen, Zhiding Yu, Zhangyang Wang, Animashree Anandkumar |
| 2019 | CVPR | Joint Discriminative and Generative Learning for Person Re-Identification. | Zhedong Zheng, Xiaodong Yang, Zhiding Yu, Liang Zheng, Yi Yang, Jan Kautz |
| 2019 | ICCV | Confidence Regularized Self-Training. | Yang Zou, Zhiding Yu, Xiaofeng Liu, B. V. K. Vijaya Kumar, Jinsong Wang |
| 2018 | CVPR | Decoupled Networks. | Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song |
| 2018 | CVPR | Learning Strict Identity Mappings in Deep Residual Networks. | Xin Yu, Zhiding Yu, Srikumar Ramalingam |
| 2018 | ECCV | Simultaneous Edge Alignment and Learning. | Zhiding Yu, Weiyang Liu, Yang Zou, Chen Feng, Srikumar Ramalingam, B. V. K. Vijaya Kumar, Jan Kautz |
| 2018 | ECCV | Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-training. | Yang Zou, Zhiding Yu, B. V. K. Vijaya Kumar, Jinsong Wang |
| 2017 | CVPR | SphereFace: Deep Hypersphere Embedding for Face Recognition. | Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song |
| 2017 | CVPR | CASENet: Deep Category-Aware Semantic Edge Detection. | Zhiding Yu, Chen Feng, Ming-Yu Liu, Srikumar Ramalingam |
| 2016 | AAAI | On Order-Constrained Transitive Distance Clustering. | Zhiding Yu, Weiyang Liu, Wenbo Liu, Yingzhen Yang, Ming Li, B. V. K. Vijaya Kumar |
| 2016 | BMVC | Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification. | Weiyang Liu, Zhiding Yu, Yandong Wen, Rongmei Lin, Meng Yang |
| 2016 | ICML | Large-Margin Softmax Loss for Convolutional Neural Networks. | Weiyang Liu, Yandong Wen, Zhiding Yu, Meng Yang |
| 2015 | ACII | Efficient autism spectrum disorder prediction with eye movement: A machine learning framework. | Wenbo Liu, Li Yi, Zhiding Yu, Xiaobing Zou, Bhiksha Raj, Ming Li |
| 2015 | ICIP | Multi-kernel collaborative representation for image classification. | Weiyang Liu, Zhiding Yu, Yandong Wen, Meng Yang, Yuexian Zou |
| 2015 | ICMI | Image based Static Facial Expression Recognition with Multiple Deep Network Learning. | Zhiding Yu, Cha Zhang |
| 2015 | IJCAI | Generalized Transitive Distance with Minimum Spanning Random Forest. | Zhiding Yu, Weiyang Liu, Wenbo Liu, Xi Peng, Zhuo Hui, B. V. K. Vijaya Kumar |
| 2015 | Interspeech | Locality constrained transitive distance clustering on speech data. | Wenbo Liu, Zhiding Yu, Bhiksha Raj, Ming Li |
| 2015 | WACV | Structured Hough Voting for Vision-Based Highway Border Detection. | Zhiding Yu, Wende Zhang, B. V. K. Vijaya Kumar, Dan Levi |
| 2014 | CVPR | Transitive Distance Clustering with K-Means Duality. | Zhiding Yu, Chunjing Xu, Deyu Meng, Zhuo Hui, Fanyi Xiao, Wenbo Liu, Jianzhuang Liu |
| 2014 | ICIP | Robust rear-view ground surface detection with hidden state conditional random field and confidence propagation. | Zhiding Yu, Wende Zhang, B. V. K. Vijaya Kumar |
| 2012 | CVPR | Bag of textons for image segmentation via soft clustering and convex shift. | Zhiding Yu, Ang Li, Oscar C. Au, Chunjing Xu |
| 2011 | CVPR | Nonparametric density estimation on a graph: Learning framework, fast approximation and application in image segmentation. | Zhiding Yu, Oscar C. Au, Ketan Tang, Chunjing Xu |
| 2011 | ICIG | Image Interpolation Using Autoregressive Model and Gauss-Seidel Optimization. | Ketan Tang, Oscar C. Au, Lu Fang, Zhiding Yu, Yuanfang Guo |
| 2011 | ICIP | Multi-scale analysis of color and texture for salient object detection. | Ketan Tang, Oscar C. Au, Lu Fang, Zhiding Yu, Yuanfang Guo |
| 2009 | CEC | Noise-robust Binary segmentation based on Ant Colony System and Modified Fuzzy C-Means algorithm. | Zhiding Yu, Ruobing Zou, Simin Yu, Huqiong Mou |
| 2009 | ICNC | Image Segmentation Based on Local Ant Colony Optimization. | Ruobing Zou, Weiyu Yu, Zhiding Yu, Xiangyu Yu |
| 2009 | ISNN | On ACO-Based Fuzzy Clustering for Image Segmentation. | Zhiding Yu, Weiyu Yu, Ruobing Zou, Simin Yu |
| 2009 | ISNN | Heuristic Search for Cluster Centroids: An Ant-Based Approach for FCM Initialization. | Zhiding Yu, Ruobing Zou, Simin Yu |