Liu, Yu

181 publications

ICLR 2025 ACE: All-Round Creator and Editor Following Instructions via Diffusion Transformer Zhen Han, Zeyinzi Jiang, Yulin Pan, Jingfeng Zhang, Chaojie Mao, Chen-Wei Xie, Yu Liu, Jingren Zhou

AAAI 2025 As Pseudo-Label Free as Possible: Leveraging Adaptive Feature Generation for Sparsely Annotated Object Detection Shuilian Yao, Yu Liu, Qi Jia, Sihong Chen, Wei Zhuo

CVPR 2025 BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs Zhantao Yang, Ruili Feng, Keyu Yan, Huangji Wang, Zhicai Wang, Shangwen Zhu, Han Zhang, Jie Xiao, Pingyu Wu, Kai Zhu, Jixuan Chen, Chen-Wei Xie, Yue Yang, Hongyang Zhang, Yu Liu, Fan Cheng

ICLR 2025 Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting Yu Liu, Baoxiong Jia, Ruijie Lu, Junfeng Ni, Song-Chun Zhu, Siyuan Huang

CVPR 2025 Decompositional Neural Scene Reconstruction with Generative Diffusion Prior Junfeng Ni, Yu Liu, Ruijie Lu, Zirui Zhou, Song-Chun Zhu, Yixin Chen, Siyuan Huang

ICCV 2025 DiffDoctor: Diagnosing Image Diffusion Models Before Treating Yiyang Wang, Xi Chen, Xiaogang Xu, Sihui Ji, Yu Liu, Yujun Shen, Hengshuang Zhao

NeurIPS 2025 DoseSurv: Predicting Personalized Survival Outcomes Under Continuous-Valued Treatments Moritz Gögl, Yu Liu, Christopher Yau, Peter Watkinson, Tingting Zhu

ICML 2025 EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM Zhuofan Zong, Dongzhi Jiang, Bingqi Ma, Guanglu Song, Hao Shao, Dazhong Shen, Yu Liu, Hongsheng Li

IJCAI 2025 EfficientPIE: Real-Time Prediction on Pedestrian Crossing Intention with Sole Observation Fang Qu, Pengzhan Zhou, Yuepeng He, Kaixin Gao, Youyu Luo, Xin Feng, Yu Liu, Songtao Guo

IJCAI 2025 Enhancing Semantic Clarity: Discriminative and Fine-Grained Information Mining for Remote Sensing Image-Text Retrieval Yu Liu, Haipeng Chen, Yuheng Liang, Yuheng Yang, Xun Yang, Yingda Lyu

ECML-PKDD 2025 HCT: A Hierarchical Contrastive Learning Framework for Transferable Graph Anomaly Detection Jiawei Ye, Hongyi Li, Qinlin Xie, Sicheng Liang, Yu Liu, Jie Wu

ICML 2025 How Distributed Collaboration Influences the Diffusion Model Training? a Theoretical Perspective Jing Qiao, Yu Liu, Yuan Yuan, Xiao Zhang, Zhipeng Cai, Dongxiao Yu

ICCV 2025 ICE-Bench: A Unified and Comprehensive Benchmark for Image Creating and Editing Yulin Pan, Xiangteng He, Chaojie Mao, Zhen Han, Zeyinzi Jiang, Jingfeng Zhang, Yu Liu

CVPR 2025 IDEA-Bench: How Far Are Generative Models from Professional Designing? Chen Liang, Lianghua Huang, Jingwu Fang, Huanzhang Dou, Wei Wang, Zhi-Fan Wu, Yupeng Shi, Junge Zhang, Xin Zhao, Yu Liu

CVPR 2025 Improved Video VAE for Latent Video Diffusion Model Pingyu Wu, Kai Zhu, Yu Liu, Liming Zhao, Wei Zhai, Yang Cao, Zheng-Jun Zha

ICCV 2025 Is Meta-Learning Out? Rethinking Unsupervised Few-Shot Classification with Limited Entropy Yunchuan Guan, Yu Liu, Ke Zhou, Zhiqi Shen, Jenq-Neng Hwang, Serge Belongie, Lei Li

TMLR 2025 Learning Deformable Body Interactions with Adaptive Spatial Tokenization Hao Wang, Yu Liu, Daniel Biggs, Haoru Wang, Jiandong Yu, Ping Huang

ICCV 2025 LoD-Loc V2: Aerial Visual Localization over Low Level-of-Detail City Models Using Explicit Silhouette Alignment Juelin Zhu, Shuaibang Peng, Long Wang, Hanlin Tan, Yu Liu, Maojun Zhang, Shen Yan

IJCAI 2025 MMET: A Multi-Input and Multi-Scale Transformer for Efficient PDEs Solving Yichen Luo, Jia Wang, Dapeng Lan, Yu Liu, Zhibo Pang

ICLR 2025 MMSearch: Unveiling the Potential of Large Models as Multi-Modal Search Engines Dongzhi Jiang, Renrui Zhang, Ziyu Guo, Yanmin Wu, Jiayi Lei, Pengshuo Qiu, Pan Lu, Zehui Chen, Guanglu Song, Peng Gao, Yu Liu, Chunyuan Li, Hongsheng Li

CVPR 2025 MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Ruijie Lu, Yixin Chen, Junfeng Ni, Baoxiong Jia, Yu Liu, Diwen Wan, Gang Zeng, Siyuan Huang

ICCV 2025 MPBR: Multimodal Progressive Bidirectional Reasoning for Open-Set Fine-Grained Recognition Junfu Tan, Peiguang Jing, Yu Zhu, Yu Liu

CVPR 2025 MangaNinja: Line Art Colorization with Precise Reference Following Zhiheng Liu, Ka Leong Cheng, Xi Chen, Jie Xiao, Hao Ouyang, Kai Zhu, Yu Liu, Yujun Shen, Qifeng Chen, Ping Luo

NeurIPS 2025 MiCo: Multi-Image Contrast for Reinforcement Visual Reasoning Xi Chen, Mingkang Zhu, Shaoteng Liu, Xiaoyang Wu, Xiaogang Xu, Yu Liu, Xiang Bai, Hengshuang Zhao

CVPR 2025 NTR-Gaussian: Nighttime Dynamic Thermal Reconstruction with 4D Gaussian Splatting Based on Thermodynamics Kun Yang, Yuxiang Liu, Zeyu Cui, Yu Liu, Maojun Zhang, Shen Yan, Qing Wang

IJCAI 2025 OT-DETECTOR: Delving into Optimal Transport for Zero-Shot Out-of-Distribution Detection Yu Liu, Hao Tang, Haiqi Zhang, Jing Qin, Zechao Li

IJCAI 2025 OpenCarbon: A Contrastive Learning-Based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data Jinwei Zeng, Yu Liu, Guozhen Zhang, Jingtao Ding, Yuming Lin, Jian Yuan, Yong Li

ICML 2025 PDUDT: Provable Decentralized Unlearning Under Dynamic Topologies Jing Qiao, Yu Liu, Zengzhe Chen, Mingyi Li, Yuan Yuan, Xiao Zhang, Dongxiao Yu

ICCV 2025 Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rongkun Xue, Jinouwen Zhang, Yazhe Niu, Dazhong Shen, Bingqi Ma, Yu Liu, Jing Yang

MLJ 2025 Probabilistic Instance Dependent Label Refinement for Noisy Label Learning Hao-Yuan He, Yu Liu, Renbiao Liu, Zheng Xie, Ming Li

CVPR 2025 See Further When Clear: Curriculum Consistency Model Yunpeng Liu, Boxiao Liu, Yi Zhang, Xingzhong Hou, Guanglu Song, Yu Liu, Haihang You

ICLR 2025 SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu

ICCV 2025 TACO: Taming Diffusion for In-the-Wild Video Amodal Completion Ruijie Lu, Yixin Chen, Yu Liu, Jiaxiang Tang, Junfeng Ni, Diwen Wan, Gang Zeng, Siyuan Huang

NeurIPS 2025 TS-RAG: Retrieval-Augmented Generation Based Time Series Foundation Models Are Stronger Zero-Shot Forecaster Kanghui Ning, Zijie Pan, Yu Liu, Yushan Jiang, James Y. Zhang, Kashif Rasul, Anderson Schneider, Lintao Ma, Yuriy Nevmyvaka, Dongjin Song

NeurIPS 2025 The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control Ruili Feng, Han Zhang, Zhilei Shu, Zhantao Yang, Longxiang Tang, Zhicai Wang, Andy Zheng, Jie Xiao, Zhiheng Liu, Ruihang Chu, Yukun Huang, Yu Liu, Hongyang Zhang

ICCV 2025 UniFuse: A Unified All-in-One Framework for Multi-Modal Medical Image Fusion Under Diverse Degradations and Misalignments Dayong Su, Yafei Zhang, Huafeng Li, Jinxing Li, Yu Liu

TMLR 2025 UniZero: Generalized and Efficient Planning with Scalable Latent World Models Yuan Pu, Yazhe Niu, Zhenjie Yang, Jiyuan Ren, Hongsheng Li, Yu Liu

CVPR 2025 Universal Actions for Enhanced Embodied Foundation Models Jinliang Zheng, Jianxiong Li, Dongxiu Liu, Yinan Zheng, Zhihao Wang, Zhonghong Ou, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Xianyuan Zhan

ICLRW 2025 Universal Actions for Enhanced Embodied Foundation Models Jinliang Zheng, Jianxiong Li, Dongxiu Liu, Yinan Zheng, Zhihao Wang, Zhonghong Ou, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Xianyuan Zhan

ICCV 2025 VACE: All-in-One Video Creation and Editing Zeyinzi Jiang, Zhen Han, Chaojie Mao, Jingfeng Zhang, Yulin Pan, Yu Liu

NeurIPS 2025 ViewPoint: Panoramic Video Generation with Pretrained Diffusion Models Zixun Fang, Kai Zhu, Zhiheng Liu, Yu Liu, Wei Zhai, Yang Cao, Zheng-Jun Zha

NeurIPS 2025 VividFace: A Robost and High-Fidelity Video Face Swapping Framework Hao Shao, Shulun Wang, Yang Zhou, Guanglu Song, Dailan He, Zhuofan Zong, Shuo Qin, Yu Liu, Hongsheng Li

NeurIPS 2025 Wan-Move: Motion-Controllable Video Generation via Latent Trajectory Guidance Ruihang Chu, Yefei He, Zhekai Chen, Shiwei Zhang, Xiaogang Xu, Bin Xia, Dingdong Wang, Hongwei Yi, Xihui Liu, Hengshuang Zhao, Yu Liu, Yingya Zhang, Yujiu Yang

AAAI 2024 A Perspective of Q-Value Estimation on Offline-to-Online Reinforcement Learning Yinmin Zhang, Jie Liu, Chuming Li, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang

AAAI 2024 AUC Optimization from Multiple Unlabeled Datasets Zheng Xie, Yu Liu, Ming Li

CVPR 2024 AnyDoor: Zero-Shot Object-Level Image Customization Xi Chen, Lianghua Huang, Yu Liu, Yujun Shen, Deli Zhao, Hengshuang Zhao

ECCV 2024 Be-Your-Outpainter: Mastering Video Outpainting Through Input-Specific Adaptation Fu-Yun Wang, Xiaoshi Wu, Zhaoyang Huang, Xiaoyu Shi, Dazhong Shen, Guanglu Song, Yu Liu, Hongsheng Li

ICML 2024 CCM: Real-Time Controllable Visual Content Creation Using Text-to-Image Consistency Models Jie Xiao, Kai Zhu, Han Zhang, Zhiheng Liu, Yujun Shen, Zhantao Yang, Ruili Feng, Yu Liu, Xueyang Fu, Zheng-Jun Zha

AAAI 2024 CI-STHPAN: Pre-Trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergraph Hongjie Xia, Huijie Ao, Long Li, Yu Liu, Sen Liu, Guangnan Ye, Hongfeng Chai

CVPR 2024 CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancement Qiang Zhu, Jinhua Hao, Yukang Ding, Yu Liu, Qiao Mo, Ming Sun, Chao Zhou, Shuyuan Zhu

AAAI 2024 Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval Yu Liu, Guihe Qin, Haipeng Chen, Zhiyong Cheng, Xun Yang

ECCV 2024 Chains of Diffusion Models Yanheng Wei, Lianghua Huang, Zhi-Fan Wu, Wei Wang, Yu Liu, Mingda Jia, Shuailei Ma

CVPR 2024 Check Locate Rectify: A Training-Free Layout Calibration System for Text-to-Image Generation Biao Gong, Siteng Huang, Yutong Feng, Shiwei Zhang, Yuyuan Li, Yu Liu

NeurIPS 2024 CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching Dongzhi Jiang, Guanglu Song, Xiaoshi Wu, Renrui Zhang, Dazhong Shen, Zhuofan Zong, Yu Liu, Hongsheng Li

ICLR 2024 Continuous Invariance Learning Lin Yong, Fan Zhou, Lu Tan, Lintao Ma, Jianmeng Liu, Yansu He, Yuan Yuan, Yu Liu, James Y. Zhang, Yujiu Yang, Hao Wang

AAAI 2024 Critic-Guided Decision Transformer for Offline Reinforcement Learning Yuanfu Wang, Chao Yang, Ying Wen, Yu Liu, Yu Qiao

ICML 2024 DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning Jianxiong Li, Jinliang Zheng, Yinan Zheng, Liyuan Mao, Xiao Hu, Sijie Cheng, Haoyi Niu, Jihao Liu, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Xianyuan Zhan

ICMLW 2024 DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning Jianxiong Li, Jinliang Zheng, Yinan Zheng, Liyuan Mao, Xiao Hu, Sijie Cheng, Haoyi Niu, Jihao Liu, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Xianyuan Zhan

ECCV 2024 Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models Xiaoshi Wu, Yiming Hao, Manyuan Zhang, Keqiang Sun, Zhaoyang Huang, Guanglu Song, Yu Liu, Hongsheng Li

ICLR 2024 DreamClean: Restoring Clean Image Using Deep Diffusion Prior Jie Xiao, Ruili Feng, Han Zhang, Zhiheng Liu, Zhantao Yang, Yurui Zhu, Xueyang Fu, Kai Zhu, Yu Liu, Zheng-Jun Zha

CVPR 2024 DreamVideo: Composing Your Dream Videos with Customized Subject and Motion Yujie Wei, Shiwei Zhang, Zhiwu Qing, Hangjie Yuan, Zhiheng Liu, Yu Liu, Yingya Zhang, Jingren Zhou, Hongming Shan

CVPR 2024 EasyDrag: Efficient Point-Based Manipulation on Diffusion Models Xingzhong Hou, Boxiao Liu, Yi Zhang, Jihao Liu, Yu Liu, Haihang You

AAAI 2024 Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song

ECCV 2024 Elegantly Written: Disentangling Writer and Character Styles for Enhancing Online Chinese Handwriting Yu Liu, Fatimah binti Khalid, Lei Wang, Youxi Zhang, Cunrui Wang

TMLR 2024 Enhancing Vision-Language Model with Unmasked Token Alignment Jihao Liu, Jinliang Zheng, Boxiao Liu, Yu Liu, Hongsheng Li

AAAI 2024 Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data Jinwei Zeng, Yu Liu, Jingtao Ding, Jian Yuan, Yong Li

ECCV 2024 Exploring Guided Sampling of Conditional GANs Yifei Zhang, Mengfei Xia, Yujun Shen, Jiapeng Zhu, Ceyuan Yang, Kecheng Zheng, Lianghua Huang, Yu Liu, Fan Cheng

NeurIPS 2024 Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models Bingqi Ma, Zhuofan Zong, Guanglu Song, Hongsheng Li, Yu Liu

ECCV 2024 Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations Tomáš Chobola, Yu Liu, Hanyi Zhang, Julia A Schnabel, Tingying Peng

ECCV 2024 FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis Linjiang Huang, Rongyao Fang, Aiping Zhang, Guanglu Song, Si Liu, Yu Liu, Hongsheng Li

IJCAI 2024 From Pixels to Progress: Generating Road Network from Satellite Imagery for Socioeconomic Insights in Impoverished Areas Yanxin Xi, Yu Liu, Zhicheng Liu, Sasu Tarkoma, Pan Hui, Yong Li

CVPR 2024 GLID: Pre-Training a Generalist Encoder-Decoder Vision Model Jihao Liu, Jinliang Zheng, Yu Liu, Hongsheng Li

AAAI 2024 GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Siqiao Xue, James Y. Zhang, Jun Zhou, Hongyuan Mei, Weitao Lin, Zi Zhuang, Wenxin Ning, Yunhua Hu

ECCVW 2024 GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest Shilong Zhang, Peize Sun, Shoufa Chen, Min Xiao, Wenqi Shao, Wenwei Zhang, Yu Liu, Kai Chen, Ping Luo

NeurIPS 2024 Instruction-Guided Visual Masking Jinliang Zheng, Jianxiong Li, Sijie Cheng, Yinan Zheng, Jiaming Li, Jihao Liu, Yu Liu, Jingjing Liu, Xianyuan Zhan

ICMLW 2024 Instruction-Guided Visual Masking Jinliang Zheng, Jianxiong Li, Sijie Cheng, Yinan Zheng, Jiaming Li, Jihao Liu, Yu Liu, Jingjing Liu, Xianyuan Zhan

CVPR 2024 LMDrive: Closed-Loop End-to-End Driving with Large Language Models Hao Shao, Yuxuan Hu, Letian Wang, Guanglu Song, Steven L. Waslander, Yu Liu, Hongsheng Li

CVPR 2024 Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation Siteng Huang, Biao Gong, Yutong Feng, Xi Chen, Yuqian Fu, Yu Liu, Donglin Wang

ICLR 2024 Lipschitz Singularities in Diffusion Models Zhantao Yang, Ruili Feng, Han Zhang, Yujun Shen, Kai Zhu, Lianghua Huang, Yifei Zhang, Yu Liu, Deli Zhao, Jingren Zhou, Fan Cheng

ECCV 2024 LivePhoto: Real Image Animation with Text-Guided Motion Control Xi Chen, Zhiheng Liu, Mengting Chen, Yutong Feng, Yu Liu, Yujun Shen, Hengshuang Zhao

NeurIPS 2024 LoD-Loc: Aerial Visual Localization Using LoD 3D mAP with Neural Wireframe Alignment Juelin Zhu, Shen Yan, Long Wang, Shengyue Zhang, Yu Liu, Maojun Zhang

IJCAI 2024 Long-Term Detection and Monitory of Chinese Urban Village Using Satellite Imagery Yuming Lin, Xin Zhang, Yu Liu, Zhenyu Han, Qingmin Liao, Yong Li

TMLR 2024 MaskMA: Towards Zero-Shot Multi-Agent Decision Making with Mask-Based Collaborative Learning Jie Liu, Yinmin Zhang, Chuming Li, Zhiyuan You, Zhanhui Zhou, Chao Yang, Yaodong Yang, Yu Liu, Wanli Ouyang

NeurIPS 2024 MoVA: Adapting Mixture of Vision Experts to Multimodal Context Zhuofan Zong, Bingqi Ma, Dazhong Shen, Guanglu Song, Hao Shao, Dongzhi Jiang, Hongsheng Li, Yu Liu

CVPR 2024 Multi-Agent Collaborative Perception via Motion-Aware Robust Communication Network Shixin Hong, Yu Liu, Zhi Li, Shaohui Li, You He

ECCV 2024 MultiGen: Zero-Shot Image Generation from Multi-Modal Prompts Zhi-Fan Wu, Lianghua Huang, Wei Wang, Yanheng Wei, Yu Liu

NeurIPS 2024 Not Just Object, but State: Compositional Incremental Learning Without Forgetting Yanyi Zhang, Binglin Qiu, Qi Jia, Yu Liu, Ran He

CVPR 2024 Novel Class Discovery for Ultra-Fine-Grained Visual Categorization Yu Liu, Yaqi Cai, Qi Jia, Binglin Qiu, Weimin Wang, Nan Pu

NeurIPS 2024 Phased Consistency Models Fu-Yun Wang, Zhaoyang Huang, Alexander William Bergman, Dazhong Shen, Peng Gao, Michael Lingelbach, Keqiang Sun, Weikang Bian, Guanglu Song, Yu Liu, Xiaogang Wang, Hongsheng Li

CVPR 2024 Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following Yutong Feng, Biao Gong, Di Chen, Yujun Shen, Yu Liu, Jingren Zhou

ICML 2024 ReDiffuser: Reliable Decision-Making Using a Diffuser with Confidence Estimation Nantian He, Shaohui Li, Zhi Li, Yu Liu, You He

CVPR 2024 Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance Dazhong Shen, Guanglu Song, Zeyue Xue, Fu-Yun Wang, Yu Liu

NeurIPSW 2024 Robo-MUTUAL: Robotic Multimodal Task Specification via Unimodal Learning Jianxiong Li, Zhihao Wang, Jinliang Zheng, Xiaoai Zhou, Guanming Wang, Guanglu Song, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Junzhi Yu, Xianyuan Zhan

ECCV 2024 SlotLifter: Slot-Guided Feature Lifting for Learning Object-Centric Radiance Fields Yu Liu, Baoxiong Jia, Yixin Chen, Siyuan Huang

CVPR 2024 SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu

ICLR 2024 Space Group Constrained Crystal Generation Rui Jiao, Wenbing Huang, Yu Liu, Deli Zhao, Yang Liu

ICML 2024 StrokeNUWA—Tokenizing Strokes for Vector Graphic Synthesis Zecheng Tang, Chenfei Wu, Zekai Zhang, Minheng Ni, Shengming Yin, Yu Liu, Zhengyuan Yang, Lijuan Wang, Zicheng Liu, Juntao Li, Nan Duan

ICLR 2024 The Devil Is in the Neurons: Interpreting and Mitigating Social Biases in Language Models Yan Liu, Yu Liu, Xiaokang Chen, Pin-Yu Chen, Daoguang Zan, Min-Yen Kan, Tsung-Yi Ho

ECCV 2024 Three Things We Need to Know About Transferring Stable Diffusion to Visual Dense Prediciton Tasks Manyuan Zhang, Guanglu Song, Xiaoyu Shi, Yu Liu, Hongsheng Li

AAAI 2024 UV-SAM: Adapting Segment Anything Model for Urban Village Identification Xin Zhang, Yu Liu, Yuming Lin, Qingmin Liao, Yong Li

NeurIPS 2024 Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning Hao Shao, Shengju Qian, Han Xiao, Guanglu Song, Zhuofan Zong, Letian Wang, Yu Liu, Hongsheng Li

NeurIPS 2024 Zero-Shot Image Editing with Reference Imitation Xi Chen, Yutong Feng, Mengting Chen, Yiyang Wang, Shilong Zhang, Yu Liu, Yujun Shen, Hengshuang Zhao

ECCV 2024 ZoLA: Zero-Shot Creative Long Animation Generation with Short Video Model Fu-Yun Wang, Zhaoyang Huang, Qiang Ma, Guanglu Song, Xudong Lu, Weikang Bian, Yijin Li, Yu Liu, Hongsheng Li

ICCV 2023 3D Semantic Subspace Traverser: Empowering 3D Generative Model with Shape Editing Capability Ruowei Wang, Yu Liu, Pei Su, Jianwei Zhang, Qijun Zhao

AAAI 2023 ACE: Cooperative Multi-Agent Q-Learning with Bidirectional Action-Dependency Chuming Li, Jie Liu, Yinmin Zhang, Yuhong Wei, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang

ICLR 2023 Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-Off Between Body and Clothing Yu Liu, Mingbo Zhao, Zhao Zhang, Jicong Fan, Yang Lou, Shuicheng Yan

AAAI 2023 COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering Mingrui Lao, Nan Pu, Yu Liu, Kai He, Erwin M. Bakker, Michael S. Lew

ICML 2023 Composer: Creative and Controllable Image Synthesis with Composable Conditions Lianghua Huang, Di Chen, Yu Liu, Yujun Shen, Deli Zhao, Jingren Zhou

ICML 2023 Cones: Concept Neurons in Diffusion Models for Customized Generation Zhiheng Liu, Ruili Feng, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao

NeurIPS 2023 Customizable Image Synthesis with Multiple Subjects Zhiheng Liu, Yifei Zhang, Yujun Shen, Kecheng Zheng, Kai Zhu, Ruili Feng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao

ICCV 2023 DETRs with Collaborative Hybrid Assignments Training Zhuofan Zong, Guanglu Song, Yu Liu

ICCV 2023 Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li

ICCV 2023 Deep Active Contours for Real-Time 6-DoF Object Tracking Long Wang, Shen Yan, Jianan Zhen, Yu Liu, Maojun Zhang, Guofeng Zhang, Xiaowei Zhou

CVPR 2023 Dimensionality-Varying Diffusion Process Han Zhang, Ruili Feng, Zhantao Yang, Lianghua Huang, Yu Liu, Yifei Zhang, Yujun Shen, Deli Zhao, Jingren Zhou, Fan Cheng

ICCV 2023 Efficient-VQGAN: Towards High-Resolution Image Generation with Efficient Vision Transformers Shiyue Cao, Yueqin Yin, Lianghua Huang, Yu Liu, Xin Zhao, Deli Zhao, Kaigi Huang

ICCV 2023 Generating Dynamic Kernels via Transformers for Lane Detection Ziye Chen, Yu Liu, Mingming Gong, Bo Du, Guoqi Qian, Kate Smith-Miles

ICCV 2023 GeoMIM: Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-View 3D Understanding Jihao Liu, Tai Wang, Boxiao Liu, Qihang Zhang, Yu Liu, Hongsheng Li

ICLR 2023 GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation Ming Zhang, Shenghan Zhang, Zhenjie Yang, Lekai Chen, Jinliang Zheng, Chao Yang, Chuming Li, Hang Zhou, Yazhe Niu, Yu Liu

ICLR 2023 Improving Object-Centric Learning with Query Optimization Baoxiong Jia, Yu Liu, Siyuan Huang

NeurIPS 2023 LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios Yazhe Niu, Yuan Pu, Zhenjie Yang, Xueyan Li, Tong Zhou, Jiyuan Ren, Shuai Hu, Hongsheng Li, Yu Liu

CVPR 2023 Long-Term Visual Localization with Mobile Sensors Shen Yan, Yu Liu, Long Wang, Zehong Shen, Zhen Peng, Haomin Liu, Maojun Zhang, Guofeng Zhang, Xiaowei Zhou

ICCV 2023 Masked Autoencoders Are Stronger Knowledge Distillers Shanshan Lao, Guanglu Song, Boxiao Liu, Yu Liu, Yujiu Yang

CVPR 2023 MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers Jihao Liu, Xin Huang, Jinliang Zheng, Yu Liu, Hongsheng Li

CVPRW 2023 NTIRE 2023 Image Shadow Removal Challenge Report Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte, Shuhao Cui, Junshi Huang, Shuman Tian, Mingyuan Fan, Jiaqi Zhang, Li Zhu, Xiaoming Wei, Xiaolin Wei, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiaoyi Dong, Xi Sheryl Zhang, Chenghua Li, Cong Leng, Woon-Ha Yeo, Wang-Taek Oh, Yeoreum Lee, Han-Cheol Ryu, Jinting Luo, Chengzhi Jiang, Mingyan Han, Qi Wu, Wenjie Lin, Lei Yu, Xinpeng Li, Ting Jiang, Haoqiang Fan, Shuaicheng Liu, Shuning Xu, Binbin Song, Xiangyu Chen, Shile Zhang, Jiantao Zhou, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Bo Wang, Jiahuan Ren, Yan Luo, Yuki Kondo, Riku Miyata, Fuma Yasue, Taito Naruki, Norimichi Ukita, Hua-En Chang, Hao-Hsiang Yang, Yi-Chung Chen, Yuan-Chun Chiang, Zhi-Kai Huang, Wei-Ting Chen, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xianwei Li, Huiyuan Fu, Chunlin Liu, Huadong Ma, Binglan Fu, Huiming He, Mengjia Wang, Wenxuan She, Yu Liu, Sabari Nathan, Priya Kansal, Zhongjian Zhang, Huabin Yang, Yan Wang, Yanru Zhang, Shruti S. Phutke, Ashutosh Kulkarni, Md Raqib Khan, Subrahmanyam Murala, Santosh Kumar Vipparthi, Heng Ye, Zixi Liu, Xingyi Yang, Songhua Liu, Yinwei Wu, Yongcheng Jing, Qianhao Yu, Naishan Zheng, Jie Huang, Yuhang Long, Mingde Yao, Feng Zhao, Bowen Zhao, Nan Ye, Ning Shen, Yanpeng Cao, Tong Xiong, Weiran Xia, Dingwen Li, Shuchen Xia

NeurIPS 2023 RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths Zeyue Xue, Guanglu Song, Qiushan Guo, Boxiao Liu, Zhuofan Zong, Yu Liu, Ping Luo

CVPR 2023 ReasonNet: End-to-End Driving with Temporal and Global Reasoning Hao Shao, Letian Wang, Ruobing Chen, Steven L. Waslander, Hongsheng Li, Yu Liu

AAAI 2023 SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Shiyu Wang, James Zhang, Xinxin Zhu, Xuanwei Hu, Yunhua Hu, Yangfei Zheng, Lei Lei, Hu Yun

AAAI 2023 Style-Content Metric Learning for Multidomain Remote Sensing Object Recognition Wenda Zhao, Ruikai Yang, Yu Liu, You He

ICCV 2023 Temporal Enhanced Training of Multi-View 3D Object Detector via Historical Object Prediction Zhuofan Zong, Dongzhi Jiang, Guanglu Song, Zeyue Xue, Jingyong Su, Hongsheng Li, Yu Liu

ICCV 2023 UniKD: Universal Knowledge Distillation for Mimicking Homogeneous or Heterogeneous Object Detectors Shanshan Lao, Guanglu Song, Boxiao Liu, Yu Liu, Yujiu Yang

IJCAI 2023 Video Diffusion Models with Local-Global Context Guidance Siyuan Yang, Lu Zhang, Yu Liu, Zhizhuo Jiang, You He

AISTATS 2022 A Bayesian Model for Online Activity Sample Sizes Thomas S. Richardson, Yu Liu, James Mcqueen, Doug Hains

AAAI 2022 A Trend-Driven Fashion Design System for Rapid Response Marketing in E-Commerce Lianghua Huang, Yu Liu, Bin Wang, Pan Pan, Rong Jin

ECCV 2022 Camera Auto-Calibration from the Steiner Conic of the Fundamental Matrix Yu Liu, Hui Zhang

ECCV 2022 GeoAug: Data Augmentation for Few-Shot NeRF with Geometry Constraints Di Chen, Yu Liu, Lianghua Huang, Bin Wang, Pan Pan

NeurIPS 2022 Large-Batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo

IJCAI 2022 Memory Augmented State Space Model for Time Series Forecasting Yinbo Sun, Lintao Ma, Yu Liu, Shijun Wang, James Zhang, Yangfei Zheng, Hu Yun, Lei Lei, Yulin Kang, Llinbao Ye

ECCV 2022 Rethinking Robust Representation Learning Under Fine-Grained Noisy Faces Bingqi Ma, Guanglu Song, Boxiao Liu, Yu Liu

CoRL 2022 Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer Hao Shao, Letian Wang, Ruobing Chen, Hongsheng Li, Yu Liu

CVPR 2022 Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way Qi Jia, Shuilian Yao, Yu Liu, Xin Fan, Risheng Liu, Zhongxuan Luo

ECCV 2022 Self-Slimmed Vision Transformer Zhuofan Zong, Kunchang Li, Guanglu Song, Yali Wang, Yu Qiao, Biao Leng, Yu Liu

ECCV 2022 TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers Jihao Liu, Boxiao Liu, Hang Zhou, Hongsheng Li, Yu Liu

ECCV 2022 Towards Robust Face Recognition with Comprehensive Search Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li

ICLR 2022 UniFormer: Unified Transformer for Efficient Spatial-Temporal Representation Learning Kunchang Li, Yali Wang, Gao Peng, Guanglu Song, Yu Liu, Hongsheng Li, Yu Qiao

ECCV 2022 UniNet: Unified Architecture Search with Convolution, Transformer, and MLP Jihao Liu, Xin Huang, Guanglu Song, Hongsheng Li, Yu Liu

ECCV 2022 Unifying Visual Perception by Dispersible Points Learning Jianming Liang, Guanglu Song, Biao Leng, Yu Liu

CVPR 2021 Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization Junting Pan, Siyu Chen, Mike Zheng Shou, Yu Liu, Jing Shao, Hongsheng Li

CVPR 2021 Communication Efficient SGD via Gradient Sampling with Bayes Prior Liuyihan Song, Kang Zhao, Pan Pan, Yu Liu, Yingya Zhang, Yinghui Xu, Rong Jin

CVPR 2021 Lifelong Person Re-Identification via Adaptive Knowledge Accumulation Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew

IJCAI 2021 Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction Kai Wang, Yu Liu, Quan Z. Sheng

ICCVW 2021 Rectifying the Data Bias in Knowledge Distillation Boxiao Liu, Shenghan Zhang, Guanglu Song, Haihang You, Yu Liu

CVPR 2021 Self-Supervised Video Representation Learning by Context and Motion Decoupling Lianghua Huang, Yu Liu, Bin Wang, Pan Pan, Yinghui Xu, Rong Jin

ICCV 2021 Switchable K-Class Hyperplanes for Noise-Robust Representation Learning Boxiao Liu, Guanglu Song, Manyuan Zhang, Haihang You, Yu Liu

AAAI 2021 Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning Yu Liu, Lianghua Huang, Pan Pan, Bin Wang, Yinghui Xu, Rong Jin

ECCVW 2020 Commands 4 Autonomous Vehicles (C4AV) Workshop Summary Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Yu Liu, Luc Van Gool, Matthew B. Blaschko, Tinne Tuytelaars, Marie-Francine Moens

ECCV 2020 Discriminability Distillation in Group Representation Learning Manyuan Zhang, Guanglu Song, Hang Zhou, Yu Liu

AAAI 2020 KPNet: Towards Minimal Face Detector Guanglu Song, Yu Liu, Yuhang Zang, Xiaogang Wang, Biao Leng, Qingsheng Yuan

IJCAI 2020 Label-Attended Hashing for Multi-Label Image Retrieval Yanzhao Xie, Yu Liu, Yangtao Wang, Lianli Gao, Peng Wang, Ke Zhou

ECCV 2020 Learning Where to Focus for Efficient Video Object Detection Zhengkai Jiang, Yu Liu, Ceyuan Yang, Jihao Liu, Peng Gao, Qian Zhang, Shiming Xiang, Chunhong Pan

ECCV 2020 More Classifiers, Less Forgetting: A Generic Multi-Classifier Paradigm for Incremental Learning Yu Liu, Sarah Parisot, Gregory Slabaugh, Xu Jia, Ales Leonardis, Tinne Tuytelaars

JMLR 2020 Smoothed Nonparametric Derivative Estimation Using Weighted Difference Quotients Yu Liu, Kris De Brabanter

AAAI 2020 Temporal Interlacing Network Hao Shao, Shengju Qian, Yu Liu

AAAI 2019 Gradient Harmonized Single-Stage Detector Buyu Li, Yu Liu, Xiaogang Wang

AAAI 2019 Talking Face Generation by Adversarially Disentangled Audio-Visual Representation Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang

ICCVW 2019 Towards Flops-Constrained Face Recognition Yu Liu, Guanglu Song, Manyuan Zhang, Jihao Liu, Yucong Zhou, Junjie Yan

IJCAI 2018 A Simple Convolutional Neural Network for Accurate P300 Detection and Character Spelling in Brain Computer Interface Hongchang Shan, Yu Liu, Todor P. Stefanov

NeurIPS 2018 Derivative Estimation in Random Design Yu Liu, Kris De Brabanter

AAAI 2018 Region-Based Quality Estimation Network for Large-Scale Person Re-Identification Guanglu Song, Biao Leng, Yu Liu, Congrui Hetang, Shaofan Cai

ECCV 2018 Transductive Centroid Projection for Semi-Supervised Large-Scale Recognition Yu Liu, Guanglu Song, Jing Shao, Xiao Jin, Xiaogang Wang

AAAI 2018 Transferable Semi-Supervised Semantic Segmentation Huaxin Xiao, Yunchao Wei, Yu Liu, Maojun Zhang, Jiashi Feng

ICCV 2017 Learning a Recurrent Residual Fusion Network for Multimodal Matching Yu Liu, Yanming Guo, Erwin M. Bakker, Michael S. Lew

AAAI 2017 Let Your Photos Talk: Generating Narrative Paragraph for Photo Stream via Bidirectional Attention Recurrent Neural Networks Yu Liu, Jianlong Fu, Tao Mei, Chang Wen Chen

CVPR 2017 Quality Aware Network for Set to Set Recognition Yu Liu, Junjie Yan, Wanli Ouyang

ICCV 2017 Recurrent Scale Approximation for Object Detection in CNN Yu Liu, Hongyang Li, Junjie Yan, Fangyin Wei, Xiaogang Wang, Xiaoou Tang

CVPR 2017 Scale-Aware Face Detection Zekun Hao, Yu Liu, Hongwei Qin, Junjie Yan, Xiu Li, Xiaolin Hu

NeurIPS 2017 Unsupervised Sequence Classification Using Sequential Output Statistics Yu Liu, Jianshu Chen, Li Deng

NeurIPS 2016 Combinatorial Multi-Armed Bandit with General Reward Functions Wei Chen, Wei Hu, Fu Li, Jian Li, Yu Liu, Pinyan Lu

ICML 2016 K-Means Clustering with Distributed Dimensions Hu Ding, Yu Liu, Lingxiao Huang, Jian Li

CVPR 2016 Learning Relaxed Deep Supervision for Better Edge Detection Yu Liu, Michael S. Lew

ECCV 2016 POI: Multiple Object Tracking with High Performance Detection and Appearance Feature Fengwei Yu, Wenbo Li, Quanquan Li, Yu Liu, Xiaohua Shi, Junjie Yan

ECCVW 2016 POI: Multiple Object Tracking with High Performance Detection and Appearance Feature Fengwei Yu, Wenbo Li, Quanquan Li, Yu Liu, Xiaohua Shi, Junjie Yan