Zhiding Yu

212 papers A* 56A 14B 7C 1Misc 1Journal 117Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning.
CoRR
Chi-Pin Huang, Yunze Man, Zhiding Yu, Min-Hung Chen, Jan Kautz, Yu-Chiang Frank Wang, Fu-En Yang
2026 J jnl
Nemotron ColEmbed V2: Top-Performing Late Interaction embedding models for Visual Document Retrieval.
CoRR
Gabriel de Souza Pereira Moreira, Ronay Ak, Mengyao Xu, Oliver Holworthy, Benedikt Schifferer, Zhiding Yu, Yauhen Babakhin, Radek Osmulski, Jiarui Cai, Ryan Chesler, Bo Liu, Even Oldridge
2026 J jnl
OpenVision 3: A Family of Unified Visual Encoder for Both Understanding and Generation.
CoRR
Letian Zhang, Sucheng Ren, Yanqing Liu, Xianhang Li, Zeyu Wang, Yuyin Zhou, Huaxiu Yao, Zeyu Zheng, Weili Nie, Guilin Liu, Zhiding Yu, Cihang Xie
2026 J jnl
PhyCritic: Multimodal Critic Models for Physical AI.
CoRR
Tianyi Xiong, Shihao Wang, Guilin Liu, Yi Dong, Ming Li, Heng Huang, Jan Kautz, Zhiding Yu
2026 J jnl
ProRL Agent: Rollout-as-a-Service for RL Training of Multi-Turn LLM Agents.
CoRR
Hao Zhang, Mingjie Liu, Shaokun Zhang, Song Han, Jian Hu, Zhenghui Jin, Yuchi Zhang, Shizhe Diao, Ximing Lu, Binfeng Xu, Zhiding Yu, Jan Kautz, Yi Dong
2026 J jnl
Stateful Token Reduction for Long-Video Hybrid VLMs.
CoRR
Jindong Jiang, Amala Sanjay Deshmukh, Kateryna Chumachenko, Karan Sapra, Zhiding Yu, Guilin Liu, Andrew Tao, Pavlo Molchanov, Jan Kautz, Wonmin Byeon
2026 J jnl
Towards Multimodal Lifelong Understanding: A Dataset and Agentic Baseline.
CoRR
Guo Chen, Lidong Lu, Yicheng Liu, Liangrui Dong, Lidong Zou, Jixin Lv, Zhenquan Li, Xinyi Mao, Baoqi Pei, Shihao Wang, Zhiqi Li, Karan Sapra, Fuxiao Liu, Yin-Dong Zheng, Yifei Huang, Limin Wang, Zhiding Yu, Andrew Tao, Guilin Liu, Tong Lu
2025 J jnl
AIDE: Agentically Improve Visual Language Model with Domain Experts.
CoRR
Ming-Chang Chiu, Fuxiao Liu, Karan Sapra, Andrew Tao, Yaser Jacoob, Xuezhe Ma, Zhiding Yu, Guilin Liu
2025 A* conf
Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought.
CVPR
Yunze Man, De-An Huang, Guilin Liu, Shiwei Sheng, Shilong Liu, Liang-Yan Gui, Jan Kautz, Yu-Xiong Wang, Zhiding Yu
2025 J jnl
Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought.
CoRR
Yunze Man, De-An Huang, Guilin Liu, Shiwei Sheng, Shilong Liu, Liang-Yan Gui, Jan Kautz, Yu-Xiong Wang, Zhiding Yu
2025 J jnl
Centaur: Robust End-to-End Autonomous Driving with Test-Time Training.
CoRR
Chonghao Sima, Kashyap Chitta, Zhiding Yu, Shiyi Lan, Ping Luo, Andreas Geiger, Hongyang Li, José M. Álvarez
2025 J jnl
EMPIRIC: Exploring Missing Pieces in KV Cache Compression for Reducing Computation, Storage, and Latency in Long-Context LLM Inference.
ACM SIGOPS Oper. Syst. Rev.
Payman Behnam, Yaosheng Fu, Ritchie Zhao, Po-An Tsai, Zhiding Yu, Alexey Tumanov
2025 J jnl
Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models.
CoRR
Guo Chen, Zhiqi Li, Shihao Wang, Jindong Jiang, Yicheng Liu, Lidong Lu, De-An Huang, Wonmin Byeon, Matthieu Le, Tuomas Rintamaki, Tyler Poon, Max Ehrlich, Tong Lu, Limin Wang, Bryan Catanzaro, Jan Kautz, Andrew Tao, Zhiding Yu, Guilin Liu
2025 J jnl
Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models.
CoRR
Zhiqi Li, Guo Chen, Shilong Liu, Shihao Wang, Vibashan VS, Yishen Ji, Shiyi Lan, Hao Zhang, Yilin Zhao, Subhashree Radhakrishnan, Nadine Chang, Karan Sapra, Amala Sanjay Deshmukh, Tuomas Rintamaki, Matthieu Le, Ilia Karmanov, Lukas Voegtle, Philipp Fischer, De-An Huang, Timo Roman, Tong Lu, José M. Álvarez, Bryan Catanzaro, Jan Kautz, Andrew Tao, Guilin Liu, Zhiding Yu
2025 A* conf
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders.
ICLR
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 A conf
Enhancing Autonomous Driving Safety with Collision Scenario Integration.
IROS
Zi Wang, Shiyi Lan, Xinglong Sun, Nadine Chang, Zhenxin Li, Zhiding Yu, José M. Álvarez
2025 J jnl
Enhancing Autonomous Driving Safety with Collision Scenario Integration.
CoRR
Zi Wang, Shiyi Lan, Xinglong Sun, Nadine Chang, Zhenxin Li, Zhiding Yu, José M. Álvarez
2025 J jnl
FRAG: Frame Selection Augmented Generation for Long Video and Long Document Understanding.
CoRR
De-An Huang, Subhashree Radhakrishnan, Zhiding Yu, Jan Kautz
2025 J jnl
GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.
CoRR
Johan Bjorck, Fernando Castañeda, Nikita Cherniadev, Xingye Da, Runyu Ding, Linxi Fan, Yu Fang, Dieter Fox, Fengyuan Hu, Spencer Huang, Joel Jang, Zhenyu Jiang, Jan Kautz, Kaushil Kundalia, Lawrence Lao, Zhiqi Li, Zongyu Lin, Kevin Lin, Guilin Liu, Edith LLontop, Loic Magne, Ajay Mandlekar, Avnish Narayan, Soroush Nasiriany, Scott Reed, You Liang Tan, Guanzhi Wang, Zu Wang, Jing Wang, Qi Wang, Jiannan Xiang, Yuqi Xie, Yinzhen Xu, Zhenjia Xu, Seonghyeon Ye, Zhiding Yu, Ao Zhang, Hao Zhang, Yizhou Zhao, Ruijie Zheng, Yuke Zhu
2025 J jnl
Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation.
CoRR
Kailin Li, Zhenxin Li, Shiyi Lan, Yuan Xie, Zhizhong Zhang, Jiayi Liu, Zuxuan Wu, Zhiding Yu, José M. Álvarez
2025 J jnl
Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training.
CoRR
Zhenxin Li, Shihao Wang, Shiyi Lan, Zhiding Yu, Zuxuan Wu, José M. Álvarez
2025 J jnl
Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model.
CoRR
Mengyao Xu, Gabriel de Souza Pereira Moreira, Ronay Ak, Radek Osmulski, Yauhen Babakhin, Zhiding Yu, Benedikt Schifferer, Even Oldridge
2025 J jnl
LocateAnything3D: Vision-Language 3D Detection with Chain-of-Sight.
CoRR
Yunze Man, Shihao Wang, Guowen Zhang, Johan Bjorck, Zhiqi Li, Liang-Yan Gui, Jim Fan, Jan Kautz, Yu-Xiong Wang, Zhiding Yu
2025 J jnl
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning.
CoRR
Shaokun Zhang, Yi Dong, Jieyu Zhang, Jan Kautz, Bryan Catanzaro, Andrew Tao, Qingyun Wu, Zhiding Yu, Guilin Liu
2025 A* conf
Neural Eulerian Scene Flow Fields.
ICLR
Kyle Vedder, Neehar Peri, Ishan Khatri, Siyi Li, Eric Eaton, Mehmet Kemal Kocamaz, Yue Wang, Zhiding Yu, Deva Ramanan, Joachim Pehserl
2025 A* conf
OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning.
CVPR
Shihao Wang, Zhiding Yu, Xiaohui Jiang, Shiyi Lan, Min Shi, Nadine Chang, Jan Kautz, Ying Li, José M. Álvarez
2025 J jnl
QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation.
CoRR
Yue Zhao, Fuzhao Xue, Scott Reed, Linxi Fan, Yuke Zhu, Jan Kautz, Zhiding Yu, Philipp Krähenbühl, De-An Huang
2025 A* conf
RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression.
ICML
Payman Behnam, Yaosheng Fu, Ritchie Zhao, Po-An Tsai, Zhiding Yu, Alexey Tumanov
2025 J jnl
RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression.
CoRR
Payman Behnam, Yaosheng Fu, Ritchie Zhao, Po-An Tsai, Zhiding Yu, Alexey Tumanov
2025 — conf
STORM: Token-Efficient Long Video Understanding for Multimodal LLMs.
ICCVW
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 J jnl
Scaling Up RL: Unlocking Diverse Reasoning in LLMs via Prolonged Training.
CoRR
Mingjie Liu, Shizhe Diao, Jian Hu, Ximing Lu, Xin Dong, Hao Zhang, Alexander Bukharin, Shaokun Zhang, Jiaqi Zeng, Makesh Narsimhan Sreedhar, Gerald Shen, David Mosallanezhad, Di Zhang, Jonas Yang, June Yang, Oleksii Kuchaiev, Guilin Liu, Zhiding Yu, Pavlo Molchanov, Yejin Choi, Jan Kautz, Yi Dong
2025 J jnl
Slow-Fast Architecture for Video Multi-Modal Large Language Models.
CoRR
Min Shi, Shihao Wang, Chieh-Yun Chen, Jitesh Jain, Kai Wang, Junjun Xiong, Guilin Liu, Zhiding Yu, Humphrey Shi
2025 A* conf
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching.
ICLR
Zizheng Pan, Bohan Zhuang, De-An Huang, Weili Nie, Zhiding Yu, Chaowei Xiao, Jianfei Cai, Anima Anandkumar
2025 J jnl
Token-Efficient Long Video Understanding for Multimodal LLMs.
CoRR
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 J jnl
VideoITG: Multimodal Video Understanding with Instructed Temporal Grounding.
CoRR
Shihao Wang, Guo Chen, De-An Huang, Zhiqi Li, Minghan Li, Guilin Li, José M. Álvarez, Lei Zhang, Zhiding Yu
2024 — conf
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties.
ECCV (38)
Junfei Xiao, Ziqi Zhou, Wenxuan Li, Shiyi Lan, Jieru Mei, Zhiding Yu, Bingchen Zhao, Alan L. Yuille, Yuyin Zhou, Cihang Xie
2024 A conf
Differentially Private Video Activity Recognition.
WACV
Zelun Luo, Yuliang Zou, Yijin Yang, Zane Durante, De-An Huang, Zhiding Yu, Chaowei Xiao, Li Fei-Fei, Animashree Anandkumar
2024 J jnl
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders.
CoRR
Min Shi, Fuxiao Liu, Shihao Wang, Shijia Liao, Subhashree Radhakrishnan, De-An Huang, Hongxu Yin, Karan Sapra, Yaser Yacoob, Humphrey Shi, Bryan Catanzaro, Andrew Tao, Jan Kautz, Zhiding Yu, Guilin Liu
2024 J jnl
Exploring Camera Encoder Designs for Autonomous Driving Perception.
CoRR
Barath Lakshmanan, Joshua Chen, Shiyi Lan, Maying Shen, Zhiding Yu, José M. Álvarez
2024 J jnl
Fully Attentional Networks with Self-emerging Token Labeling.
CoRR
Bingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, José M. Álvarez
2024 J jnl
Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation.
CoRR
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
2024 A* conf
Improving Distant 3D Object Detection Using 2D Box Supervision.
CVPR
Zetong Yang, Zhiding Yu, Christopher B. Choy, Renhao Wang, Anima Anandkumar, José M. Álvarez
2024 J jnl
Improving Distant 3D Object Detection Using 2D Box Supervision.
CoRR
Zetong Yang, Zhiding Yu, Christopher B. Choy, Renhao Wang, Anima Anandkumar, José M. Álvarez
2024 A* conf
Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving?
CVPR
Zhiqi Li, Zhiding Yu, Shiyi Lan, Jiahan Li, Jan Kautz, Tong Lu, José M. Álvarez
2024 — conf
LITA: Language Instructed Temporal-Localization Assistant.
ECCV (64)
De-An Huang, Shijia Liao, Subhashree Radhakrishnan, Hongxu Yin, Pavlo Molchanov, Zhiding Yu, Jan Kautz
2024 J jnl
LITA: Language Instructed Temporal-Localization Assistant.
CoRR
De-An Huang, Shijia Liao, Subhashree Radhakrishnan, Hongxu Yin, Pavlo Molchanov, Zhiding Yu, Jan Kautz
2024 A* conf
Memorize What Matters: Emergent Scene Decomposition from Multitraverse.
NeurIPS
Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, José M. Álvarez
2024 J jnl
Memorize What Matters: Emergent Scene Decomposition from Multitraverse.
CoRR
Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, José M. Álvarez
2024 J jnl
Neural Eulerian Scene Flow Fields.
CoRR
Kyle Vedder, Neehar Peri, Ishan Khatri, Siyi Li, Eric Eaton, Mehmet Kemal Kocamaz, Yue Wang, Zhiding Yu, Deva Ramanan, Joachim Pehserl
2024 J jnl
OmniDrive: A Holistic LLM-Agent Framework for Autonomous Driving with 3D Perception, Reasoning and Planning.
CoRR
Shihao Wang, Zhiding Yu, Xiaohui Jiang, Shiyi Lan, Min Shi, Nadine Chang, Jan Kautz, Ying Li, José M. Álvarez
2024 J jnl
Prismer: A Vision-Language Model with Multi-Task Experts.
Trans. Mach. Learn. Res.
Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar
2024 C conf
SF3D: SlowFast Temporal 3D Object Detection.
IV
Renhao Wang, Zhiding Yu, Shiyi Lan, Enze Xie, Ke Chen, Anima Anandkumar, José M. Álvarez
2024 A conf
SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving.
IROS
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 J jnl
StreamChat: Chatting with Streaming Video.
CoRR
Jihao Liu, Zhiding Yu, Shiyi Lan, Shihao Wang, Rongyao Fang, Jan Kautz, Hongsheng Li, José M. Álvarez
2024 J jnl
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching.
CoRR
Zizheng Pan, Bohan Zhuang, De-An Huang, Weili Nie, Zhiding Yu, Chaowei Xiao, Jianfei Cai, Anima Anandkumar
2024 — conf
What is Point Supervision Worth in Video Instance Segmentation?
CVPR Workshops
Shuaiyi Huang, De-An Huang, Zhiding Yu, Shiyi Lan, Subhashree Radhakrishnan, José M. Álvarez, Abhinav Shrivastava, Anima Anandkumar
2024 J jnl
What is Point Supervision Worth in Video Instance Segmentation?
CoRR
Shuaiyi Huang, De-An Huang, Zhiding Yu, Shiyi Lan, Subhashree Radhakrishnan, José M. Álvarez, Abhinav Shrivastava, Anima Anandkumar
2024 J jnl
X-VILA: Cross-Modality Alignment for Large Language Model.
CoRR
Hanrong Ye, De-An Huang, Yao Lu, Zhiding Yu, Wei Ping, Andrew Tao, Jan Kautz, Song Han, Dan Xu, Pavlo Molchanov, Hongxu Yin
2023 A* conf
A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification.
ICML
Jiachen Sun, Jiongxiao Wang, Weili Nie, Zhiding Yu, Zhuoqing Mao, Chaowei Xiao
2023 J jnl
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties.
CoRR
Junfei Xiao, Ziqi Zhou, Wenxuan Li, Shiyi Lan, Jieru Mei, Zhiding Yu, Alan L. Yuille, Yuyin Zhou, Cihang Xie
2023 J jnl
Delving Deeper into Anti-Aliasing in ConvNets.
Int. J. Comput. Vis.
Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yuheng Li, Yong Jae Lee
2023 J jnl
Differentially Private Video Activity Recognition.
CoRR
Zelun Luo, Yuliang Zou, Yijin Yang, Zane Durante, De-An Huang, Zhiding Yu, Chaowei Xiao, Li Fei-Fei, Animashree Anandkumar
2023 A* conf
End-to-end 3D Tracking with Decoupled Queries.
ICCV
Yanwei Li, Zhiding Yu, Jonah Philion, Anima Anandkumar, Sanja Fidler, Jiaya Jia, Jose Alvarez
2023 A* conf
FB-BEV: BEV Representation from Forward-Backward View Transformations.
ICCV
Zhiqi Li, Zhiding Yu, Wenhai Wang, Anima Anandkumar, Tong Lu, José M. Álvarez
2023 J jnl
FB-BEV: BEV Representation from Forward-Backward View Transformations.
CoRR
Zhiqi Li, Zhiding Yu, Wenhai Wang, Anima Anandkumar, Tong Lu, José M. Álvarez
2023 J jnl
FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation.
CoRR
Zhiqi Li, Zhiding Yu, David Austin, Mingsheng Fang, Shiyi Lan, Jan Kautz, José M. Álvarez
2023 A* conf
FocalFormer3D : Focusing on Hard Instance for 3D Object Detection.
ICCV
Yilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Anima Anandkumar, Jiaya Jia, José M. Álvarez
2023 J jnl
FocalFormer3D : Focusing on Hard Instance for 3D Object Detection.
CoRR
Yilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Animashree Anandkumar, Jiaya Jia, José M. Álvarez
2023 A* conf
Fully Attentional Networks with Self-emerging Token Labeling.
ICCV
Bingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, José M. Álvarez
2023 J jnl
Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving?
CoRR
Zhiqi Li, Zhiding Yu, Shiyi Lan, Jiahan Li, Jan Kautz, Tong Lu, José M. Álvarez
2023 A* conf
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach.
IJCAI
Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan
2023 J jnl
Partial Convolution for Padding, Inpainting, and Image Synthesis.
IEEE Trans. Pattern Anal. Mach. Intell.
Guilin Liu, Aysegul Dundar, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Xiaodong Yang, Andrew Tao, Bryan Catanzaro
2023 J jnl
Prismer: A Vision-Language Model with An Ensemble of Experts.
CoRR
Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar
2023 — conf
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning.
EMNLP (Findings)
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 J jnl
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning.
CoRR
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
2023 J jnl
Real-Time Radiance Fields for Single-Image Portrait View Synthesis.
CoRR
Alex Trevithick, Matthew A. Chan, Michael Stengel, Eric R. Chan, Chao Liu, Zhiding Yu, Sameh Khamis, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano
2023 J jnl
Real-Time Radiance Fields for Single-Image Portrait View Synthesis.
ACM Trans. Graph.
Alex Trevithick, Matthew A. Chan, Michael Stengel, Eric R. Chan, Chao Liu, Zhiding Yu, Sameh Khamis, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano
2023 J jnl
SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving.
CoRR
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
2023 J jnl
Taxonomy of Machine Learning Safety: A Survey and Primer.
ACM Comput. Surv.
Sina Mohseni, Haotao Wang, Chaowei Xiao, Zhiding Yu, Zhangyang Wang, Jay Yadawa
2023 J jnl
Vision Transformers Are Good Mask Auto-Labelers.
CoRR
Shiyi Lan, Xitong Yang, Zhiding Yu, Zuxuan Wu, José M. Álvarez, Anima Anandkumar
2023 A* conf
Vision Transformers are Good Mask Auto-Labelers.
CVPR
Shiyi Lan, Xitong Yang, Zhiding Yu, Zuxuan Wu, José M. Álvarez, Anima Anandkumar
2023 A* conf
VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion.
CVPR
Yiming Li, Zhiding Yu, Christopher B. Choy, Chaowei Xiao, José M. Álvarez, Sanja Fidler, Chen Feng, Anima Anandkumar
2023 J jnl
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion.
CoRR
Yiming Li, Zhiding Yu, Christopher B. Choy, Chaowei Xiao, José M. Álvarez, Sanja Fidler, Chen Feng, Anima Anandkumar
2022 J jnl
1st Place Solution of The Robust Vision Challenge (RVC) 2022 Semantic Segmentation Track.
CoRR
Junfei Xiao, Zhichao Xu, Shiyi Lan, Zhiding Yu, Alan L. Yuille, Anima Anandkumar
2022 J jnl
Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions.
CoRR
Jiachen Sun, Qingzhao Zhang, Bhavya Kailkhura, Zhiding Yu, Chaowei Xiao, Z. Morley Mao
2022 A* conf
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions.
CVPR
Huaizu Jiang, Xiaojian Ma, Weili Nie, Zhiding Yu, Yuke Zhu, Anima Anandkumar
2022 J jnl
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions.
CoRR
Huaizu Jiang, Xiaojian Ma, Weili Nie, Zhiding Yu, Yuke Zhu, Anima Anandkumar
2022 A* conf
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs.
CVPR
Jiteng Mu, Shalini De Mello, Zhiding Yu, Nuno Vasconcelos, Xiaolong Wang, Jan Kautz, Sifei Liu
2022 J jnl
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs.
CoRR
Jiteng Mu, Shalini De Mello, Zhiding Yu, Nuno Vasconcelos, Xiaolong Wang, Jan Kautz, Sifei Liu
2022 J jnl
Correction to: Learning Contrastive Representation for Semantic Correspondence.
Int. J. Comput. Vis.
Taihong Xiao, Sifei Liu, Shalini De Mello, Zhiding Yu, Jan Kautz, Ming-Hsuan Yang
2022 A* conf
FreeSOLO: Learning to Segment Objects without Annotations.
CVPR
Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, José M. Álvarez
2022 J jnl
FreeSOLO: Learning to Segment Objects without Annotations.
CoRR
Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, José M. Álvarez
2022 A* conf
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks.
CVPR
Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law
2022 J jnl
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks.
CoRR
Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law
2022 J jnl
Learning Contrastive Representation for Semantic Correspondence.
Int. J. Comput. Vis.
Taihong Xiao, Sifei Liu, Shalini De Mello, Zhiding Yu, Jan Kautz, Ming-Hsuan Yang
2022 J jnl
M
CoRR
Enze Xie, Zhiding Yu, Daquan Zhou, Jonah Philion, Anima Anandkumar, Sanja Fidler, Ping Luo, José M. Álvarez
2022 A* conf
MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training.
NeurIPS
De-An Huang, Zhiding Yu, Anima Anandkumar
2022 J jnl
MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training.
CoRR
De-An Huang, Zhiding Yu, Anima Anandkumar
2022 A* conf
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection.
CVPR
Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, José M. Álvarez
2022 A* conf
Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers.
CVPR
Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, José M. Álvarez, Ping Luo, Tong Lu
2022 J jnl
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition.
CoRR
Jiachen Sun, Weili Nie, Zhiding Yu, Z. Morley Mao, Chaowei Xiao
2022 A* conf
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning.
ICLR
Xiaojian Ma, Weili Nie, Zhiding Yu, Huaizu Jiang, Chaowei Xiao, Yuke Zhu, Song-Chun Zhu, Anima Anandkumar
2022 J jnl
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning.
CoRR
Xiaojian Ma, Weili Nie, Zhiding Yu, Huaizu Jiang, Chaowei Xiao, Yuke Zhu, Song-Chun Zhu, Anima Anandkumar
2022 A* conf
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models.
NeurIPS
Manli Shu, Weili Nie, De-An Huang, Zhiding Yu, Tom Goldstein, Anima Anandkumar, Chaowei Xiao
2022 J jnl
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models.
CoRR
Manli Shu, Weili Nie, De-An Huang, Zhiding Yu, Tom Goldstein, Anima Anandkumar, Chaowei Xiao
2022 A* conf
Understanding The Robustness in Vision Transformers.
ICML
Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, José M. Álvarez
2022 J jnl
Understanding The Robustness in Vision Transformers.
CoRR
Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Anima Anandkumar, Jiashi Feng, José M. Álvarez
2021 A* conf
Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions.
NeurIPS
Jiachen Sun, Yulong Cao, Christopher B. Choy, Zhiding Yu, Anima Anandkumar, Zhuoqing Morley Mao, Chaowei Xiao
2021 A* conf
AugMax: Adversarial Composition of Random Augmentations for Robust Training.
NeurIPS
Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang
2021 J jnl
AugMax: Adversarial Composition of Random Augmentations for Robust Training.
CoRR
Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, Zhangyang Wang
2021 A* conf
Contrastive Syn-to-Real Generalization.
ICLR
Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, José M. Álvarez, Zhangyang Wang, Anima Anandkumar
2021 J jnl
Contrastive Syn-to-Real Generalization.
CoRR
Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, José M. Álvarez, Zhangyang Wang, Anima Anandkumar
2021 A* conf
Coupled Segmentation and Edge Learning via Dynamic Graph Propagation.
NeurIPS
Zhiding Yu, Rui Huang, Wonmin Byeon, Sifei Liu, Guilin Liu, Thomas M. Breuel, Anima Anandkumar, Jan Kautz
2021 A* conf
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision.
ICCV
Shiyi Lan, Zhiding Yu, Christopher B. Choy, Subhashree Radhakrishnan, Guilin Liu, Yuke Zhu, Larry S. Davis, Anima Anandkumar
2021 J jnl
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision.
CoRR
Shiyi Lan, Zhiding Yu, Christopher Bongsoo Choy, Subhashree Radhakrishnan, Guilin Liu, Yuke Zhu, Larry S. Davis, Anima Anandkumar
2021 J jnl
Domain Stylization: A Fast Covariance Matching Framework Towards Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell.
Aysegul Dundar, Ming-Yu Liu, Zhiding Yu, Ting-Chun Wang, John Zedlewski, Jan Kautz
2021 A* conf
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection.
ICML
Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Animashree Anandkumar, Sanja Fidler, José M. Álvarez
2021 J jnl
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection.
CoRR
Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Anima Anandkumar, Sanja Fidler, José M. Álvarez
2021 J jnl
Learning Contrastive Representation for Semantic Correspondence.
CoRR
Taihong Xiao, Sifei Liu, Shalini De Mello, Zhiding Yu, Jan Kautz, Ming-Hsuan Yang
2021 J jnl
Panoptic SegFormer.
CoRR
Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, José M. Álvarez, Tong Lu, Ping Luo
2021 J jnl
Practical Machine Learning Safety: A Survey and Primer.
CoRR
Sina Mohseni, Haotao Wang, Zhiding Yu, Chaowei Xiao, Zhangyang Wang, Jay Yadawa
2021 A* conf
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies.
ICML
Linxi Fan, Guanzhi Wang, De-An Huang, Zhiding Yu, Li Fei-Fei, Yuke Zhu, Animashree Anandkumar
2021 J jnl
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies.
CoRR
Linxi Fan, Guanzhi Wang, De-An Huang, Zhiding Yu, Li Fei-Fei, Yuke Zhu, Anima Anandkumar
2021 A* conf
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers.
NeurIPS
Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, José M. Álvarez, Ping Luo
2021 J jnl
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers.
CoRR
Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, José M. Álvarez, Ping Luo
2021 J jnl
Towards Reducing Labeling Cost in Deep Object Detection.
CoRR
Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, José M. Álvarez
2021 B conf
Unsupervised Controllable Generation with Self-Training.
IJCNN
Grigorios G. Chrysos, Jean Kossaifi, Zhiding Yu, Anima Anandkumar
2020 A* conf
Angular Visual Hardness.
ICML
Beidi Chen, Weiyang Liu, Zhiding Yu, Jan Kautz, Anshumali Shrivastava, Animesh Garg, Animashree Anandkumar
2020 A* conf
Automated Synthetic-to-Real Generalization.
ICML
Wuyang Chen, Zhiding Yu, Zhangyang Wang, Animashree Anandkumar
2020 J jnl
Automated Synthetic-to-Real Generalization.
CoRR
Wuyang Chen, Zhiding Yu, Zhangyang Wang, Anima Anandkumar
2020 A* conf
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning.
NeurIPS
Weili Nie, Zhiding Yu, Lei Mao, Ankit B. Patel, Yuke Zhu, Anima Anandkumar
2020 J jnl
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning.
CoRR
Weili Nie, Zhiding Yu, Lei Mao, Ankit B. Patel, Yuke Zhu, Animashree Anandkumar
2020 A conf
Delving Deeper into Anti-aliasing in ConvNets.
BMVC
Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yong Jae Lee
2020 J jnl
Delving Deeper into Anti-aliasing in ConvNets.
CoRR
Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yong Jae Lee
2020 J jnl
Distributionally Robust Learning for Unsupervised Domain Adaptation.
CoRR
Haoxuan Wang, Anqi Liu, Zhiding Yu, Yisong Yue, Anima Anandkumar
2020 A* conf
Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection.
CVPR
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz
2020 J jnl
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection.
CoRR
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz
2020 — conf
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification.
ECCV (2)
Yang Zou, Xiaodong Yang, Zhiding Yu, B. V. K. Vijaya Kumar, Jan Kautz
2020 J jnl
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification.
CoRR
Yang Zou, Xiaodong Yang, Zhiding Yu, B. V. K. Vijaya Kumar, Jan Kautz
2020 A* conf
Neural Networks with Recurrent Generative Feedback.
NeurIPS
Yujia Huang, James Gornet, Sihui Dai, Zhiding Yu, Tan M. Nguyen, Doris Y. Tsao, Anima Anandkumar
2020 J jnl
Neural Networks with Recurrent Generative Feedback.
CoRR
Yujia Huang, James Gornet, Sihui Dai, Zhiding Yu, Tan M. Nguyen, Doris Y. Tsao, Anima Anandkumar
2020 A* conf
Regularizing Neural Networks via Minimizing Hyperspherical Energy.
CVPR
Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song
2020 J jnl
Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter.
CoRR
Guilin Liu, Rohan Taori, Ting-Chun Wang, Zhiding Yu, Shiqiu Liu, Fitsum A. Reda, Karan Sapra, Andrew Tao, Bryan Catanzaro
2020 — conf
UFO
ECCV (19)
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz
2020 J jnl
UFO$^2$: A Unified Framework towards Omni-supervised Object Detection.
CoRR
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz
2020 J jnl
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation.
CoRR
Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth
2020 J jnl
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation.
Medical Image Anal.
Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth
2020 J jnl
Unsupervised Controllable Generation with Self-Training.
CoRR
Grigorios G. Chrysos, Jean Kossaifi, Zhiding Yu, Anima Anandkumar
2019 J jnl
Angular Visual Hardness.
CoRR
Beidi Chen, Weiyang Liu, Animesh Garg, Zhiding Yu, Anshumali Shrivastava, Jan Kautz, Anima Anandkumar
2019 J jnl
Compressive Hyperspherical Energy Minimization.
CoRR
Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song
2019 A* conf
Confidence Regularized Self-Training.
ICCV
Yang Zou, Zhiding Yu, Xiaofeng Liu, B. V. K. Vijaya Kumar, Jinsong Wang
2019 J jnl
Confidence Regularized Self-Training.
CoRR
Yang Zou, Zhiding Yu, Xiaofeng Liu, B. V. K. Vijaya Kumar, Jinsong Wang
2019 A* conf
Joint Discriminative and Generative Learning for Person Re-Identification.
CVPR
Zhedong Zheng, Xiaodong Yang, Zhiding Yu, Liang Zheng, Yi Yang, Jan Kautz
2019 J jnl
Joint Discriminative and Generative Learning for Person Re-identification.
CoRR
Zhedong Zheng, Xiaodong Yang, Zhiding Yu, Liang Zheng, Yi Yang, Jan Kautz
2018 A* conf
Decoupled Networks.
CVPR
Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song
2018 J jnl
Decoupled Networks.
CoRR
Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song
2018 J jnl
Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training.
CoRR
Yang Zou, Zhiding Yu, B. V. K. Vijaya Kumar, Jinsong Wang
2018 A* conf
Learning Strict Identity Mappings in Deep Residual Networks.
CVPR
Xin Yu, Zhiding Yu, Srikumar Ramalingam
2018 J jnl
Learning Strict Identity Mappings in Deep Residual Networks.
CoRR
Xin Yu, Zhiding Yu, Srikumar Ramalingam
2018 A* conf
Learning towards Minimum Hyperspherical Energy.
NeurIPS
Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song
2018 J jnl
Learning towards Minimum Hyperspherical Energy.
CoRR
Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song
2018 J jnl
Partial Convolution based Padding.
CoRR
Guilin Liu, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Andrew Tao, Bryan Catanzaro
2018 — conf
Simultaneous Edge Alignment and Learning.
ECCV (3)
Zhiding Yu, Weiyang Liu, Yang Zou, Chen Feng, Srikumar Ramalingam, B. V. K. Vijaya Kumar, Jan Kautz
2018 J jnl
Simultaneous Edge Alignment and Learning.
CoRR
Zhiding Yu, Weiyang Liu, Yang Zou, Chen Feng, Srikumar Ramalingam, B. V. K. Vijaya Kumar, Jan Kautz
2018 — conf
Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-training.
ECCV (3)
Yang Zou, Zhiding Yu, B. V. K. Vijaya Kumar, Jinsong Wang
2017 A* conf
CASENet: Deep Category-Aware Semantic Edge Detection.
CVPR
Zhiding Yu, Chen Feng, Ming-Yu Liu, Srikumar Ramalingam
2017 J jnl
CASENet: Deep Category-Aware Semantic Edge Detection.
CoRR
Zhiding Yu, Chen Feng, Ming-Yu Liu, Srikumar Ramalingam
2017 J jnl
Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering.
IEEE Trans. Cybern.
Xi Peng, Zhiding Yu, Zhang Yi, Huajin Tang
2017 J jnl
Deep Hyperspherical Learning.
CoRR
Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhiding Yu, Bo Dai, Tuo Zhao, Le Song
2017 — —
Learning Structured and Deep Representations for Traffc Scene Understanding.
Zhiding Yu
2017 A* conf
SphereFace: Deep Hypersphere Embedding for Face Recognition.
CVPR
Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song
2017 J jnl
SphereFace: Deep Hypersphere Embedding for Face Recognition.
CoRR
Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song
2016 A conf
Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification.
BMVC
Weiyang Liu, Zhiding Yu, Yandong Wen, Rongmei Lin, Meng Yang
2016 A* conf
Large-Margin Softmax Loss for Convolutional Neural Networks.
ICML
Weiyang Liu, Yandong Wen, Zhiding Yu, Meng Yang
2016 J jnl
Large-Margin Softmax Loss for Convolutional Neural Networks.
CoRR
Weiyang Liu, Yandong Wen, Zhiding Yu, Meng Yang
2016 A* conf
On Order-Constrained Transitive Distance Clustering.
AAAI
Zhiding Yu, Weiyang Liu, Wenbo Liu, Yingzhen Yang, Ming Li, B. V. K. Vijaya Kumar
2016 J jnl
Semi-supervised subspace learning with L2graph.
Neurocomputing
Xi Peng, Miaolong Yuan, Zhiding Yu, Wei-Yun Yau, Lei Zhang
2015 B conf
Efficient autism spectrum disorder prediction with eye movement: A machine learning framework.
ACII
Wenbo Liu, Li Yi, Zhiding Yu, Xiaobing Zou, Bhiksha Raj, Ming Li
2015 A* conf
Generalized Transitive Distance with Minimum Spanning Random Forest.
IJCAI
Zhiding Yu, Weiyang Liu, Wenbo Liu, Xi Peng, Zhuo Hui, B. V. K. Vijaya Kumar
2015 B conf
Image based Static Facial Expression Recognition with Multiple Deep Network Learning.
ICMI
Zhiding Yu, Cha Zhang
2015 A conf
Joint kernel dictionary and classifier learning for sparse coding via locality preserving K-SVD.
ICME
Weiyang Liu, Zhiding Yu, Meng Yang, Lijia Lu, Yuexian Zou
2015 J jnl
Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification.
CoRR
Weiyang Liu, Zhiding Yu, Yingzhen Yang, Meng Yang
2015 J jnl
KCRC-LCD: Discriminative kernel collaborative representation with locality constrained dictionary for visual categorization.
Pattern Recognit.
Weiyang Liu, Zhiding Yu, Lijia Lu, Yandong Wen, Hui Li, Yuexian Zou
2015 A conf
Locality constrained transitive distance clustering on speech data.
INTERSPEECH
Wenbo Liu, Zhiding Yu, Bhiksha Raj, Ming Li
2015 B conf
Multi-kernel collaborative representation for image classification.
ICIP
Weiyang Liu, Zhiding Yu, Yandong Wen, Meng Yang, Yuexian Zou
2015 J jnl
Robust Elastic Net Regression.
CoRR
Weiyang Liu, Zhiding Yu, Meng Yang
2015 A conf
Structured Hough Voting for Vision-Based Highway Border Detection.
WACV
Zhiding Yu, Wende Zhang, B. V. K. Vijaya Kumar, Dan Levi
2014 — conf
An iterative framework for unsupervised learning in the PLDA based speaker verification.
ISCSLP
Wenbo Liu, Zhiding Yu, Ming Li
2014 J jnl
KCRC-LCD: Discriminative Kernel Collaborative Representation with Locality Constrained Dictionary for Visual Categorization.
CoRR
Weiyang Liu, Zhiding Yu, Lijia Lu, Yandong Wen, Hui Li, Yuexian Zou
2014 B conf
Robust rear-view ground surface detection with hidden state conditional random field and confidence propagation.
ICIP
Zhiding Yu, Wende Zhang, B. V. K. Vijaya Kumar
2014 J jnl
Structured Hough Voting for Vision-based Highway Border Detection.
CoRR
Zhiding Yu, Wende Zhang, B. V. K. Vijaya Kumar, Dan Levi
2014 A* conf
Transitive Distance Clustering with K-Means Duality.
CVPR
Zhiding Yu, Chunjing Xu, Deyu Meng, Zhuo Hui, Fanyi Xiao, Wenbo Liu, Jianzhuang Liu
2013 — conf
Joint recognition / segmentation with cascaded multi-level feature classification and confidence propagation.
ICME Workshops
Wenbo Liu, Zhiding Yu, Deyu Meng
2013 J jnl
Multi-Task Regularization with Covariance Dictionary for Linear Classifiers.
CoRR
Fanyi Xiao, Ruikun Luo, Zhiding Yu
2012 A* conf
Bag of textons for image segmentation via soft clustering and convex shift.
CVPR
Zhiding Yu, Ang Li, Oscar C. Au, Chunjing Xu
2012 A* conf
Texture optimization for seamless view synthesis through energy minimization.
ACM Multimedia
Wenxiu Sun, Oscar C. Au, Lingfeng Xu, Yujun Li, Wei Hu, Zhiding Yu
2011 A conf
Adaptive depth map assisted matting in 3D video.
ICME
Wenxiu Sun, Oscar C. Au, Lingfeng Xu, Zhiding Yu
2011 A* conf
Automatic object segmentation from large scale 3D urban point clouds through manifold embedded mode seeking.
ACM Multimedia
Zhiding Yu, Chunjing Xu, Jianzhuang Liu, Oscar C. Au, Xiaoou Tang
2011 A conf
Compressing similar image sets using low frequency template.
ICME
Chi Ho Yeung, Oscar C. Au, Ketan Tang, Zhiding Yu, Enming Luo, Yannan Wu, Shing Fat Tu
2011 A conf
Data hiding in dot diffused halftone images.
ICME
Yuanfang Guo, Oscar C. Au, Ketan Tang, Lu Fang, Zhiding Yu
2011 A conf
How anti-aliasing filter affects image contrast: An analysis from majorization theory perspective.
ICME
Ketan Tang, Oscar C. Au, Lu Fang, Zhiding Yu, Yuanfang Guo
2011 Misc conf
Image Interpolation Using Autoregressive Model and Gauss-Seidel Optimization.
ICIG
Ketan Tang, Oscar C. Au, Lu Fang, Zhiding Yu, Yuanfang Guo
2011 B conf
Multi-scale analysis of color and texture for salient object detection.
ICIP
Ketan Tang, Oscar C. Au, Lu Fang, Zhiding Yu, Yuanfang Guo
2011 A* conf
Nonparametric density estimation on a graph: Learning framework, fast approximation and application in image segmentation.
CVPR
Zhiding Yu, Oscar C. Au, Ketan Tang, Chunjing Xu
2011 A conf
Towards robust and efficient segmentation: An approach based on inter-region contour and intra-region content analysis.
ICME
Zhiding Yu, Oscar C. Au, Ketan Tang, Lingfeng Xu, Wenxiu Sun, Yuanfang Guo
2010 J jnl
An adaptive unsupervised approach toward pixel clustering and color image segmentation.
Pattern Recognit.
Zhiding Yu, Oscar C. Au, Ruobing Zou, Weiyu Yu, Jing Tian
2010 A conf
Graph segmentation revisited: Detailed analysis and density learning based implementation.
ICME
Zhiding Yu, Oscar C. Au, Ketan Tang, Jiali Li, Lingfeng Xu, Xingyu Zhang
2009 — conf
A modified fuzzy c-means algorithm with adaptive spatial information for color image segmentation.
CIIP
Zhiding Yu, Ruobing Zou, Simin Yu
2009 — conf
Heuristic Search for Cluster Centroids: An Ant-Based Approach for FCM Initialization.
ISNN (2)
Zhiding Yu, Ruobing Zou, Simin Yu
2009 — conf
Image Segmentation Based on Local Ant Colony Optimization.
ICNC (3)
Ruobing Zou, Weiyu Yu, Zhiding Yu, Xiangyu Yu
2009 B conf
Noise-robust Binary segmentation based on Ant Colony System and Modified Fuzzy C-Means algorithm.
IEEE Congress on Evolutionary Computation
Zhiding Yu, Ruobing Zou, Simin Yu, Huqiong Mou
2009 — conf
On ACO-Based Fuzzy Clustering for Image Segmentation.
ISNN (2)
Zhiding Yu, Weiyu Yu, Ruobing Zou, Simin Yu