Wang, Xinchao

196 publications

AAAI 2025 Efficient Gaussian Splatting for Monocular Dynamic Scene Rendering via Sparse Time-Variant Attribute Modeling Hanyang Kong, Xingyi Yang, Xinchao Wang

TMLR 2025 Efficient Reasoning Models: A Survey Sicheng Feng, Gongfan Fang, Xinyin Ma, Xinchao Wang

CVPR 2025 Event-Based Video Super-Resolution via State Space Models Zeyu Xiao, Xinchao Wang

CVPR 2025 Few-Shot Implicit Function Generation via Equivariance Suizhi Huang, Xingyi Yang, Hongtao Lu, Xinchao Wang

AAAI 2025 GFlow: Recovering 4D World from Monocular Video Shizun Wang, Xingyi Yang, Qiuhong Shen, Zhenxiang Jiang, Xinchao Wang

CVPR 2025 Generative Sparse-View Gaussian Splatting Hanyang Kong, Xingyi Yang, Xinchao Wang

ICLR 2025 GraphBridge: Towards Arbitrary Transfer Learning in GNNs Li Ju, Xingyi Yang, Qi Li, Xinchao Wang

ICLR 2025 HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters Yujie Mo, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang

CVPR 2025 Hash3D: Training-Free Acceleration for 3D Generation Xingyi Yang, Songhua Liu, Xinchao Wang

ICCV 2025 Heavy Labels Out! Dataset Distillation with Label Space Lightening Ruonan Yu, Songhua Liu, Zigeng Chen, Jingwen Ye, Xinchao Wang

ICCV 2025 IFAdapter: Instance Feature Control for Grounded Text-to-Image Generation Yinwei Wu, Xianpan Zhou, Bing Ma, Xuefeng Su, Kai Ma, Xinchao Wang

NeurIPS 2025 Image Editing as Programs with Diffusion Models Yujia Hu, Songhua Liu, Zhenxiong Tan, Xingyi Yang, Xinchao Wang

ICLR 2025 Kolmogorov-Arnold Transformer Xingyi Yang, Xinchao Wang

NeurIPS 2025 Machine Unlearning in 3D Generation: A Perspective-Coherent Acceleration Framework Shixuan Wang, Jingwen Ye, Xinchao Wang

CVPR 2025 MambaOut: Do We Really Need Mamba for Vision? Weihao Yu, Xinchao Wang

ICLR 2025 Neural Phylogeny: Fine-Tuning Relationship Detection Among Neural Networks Runpeng Yu, Xinchao Wang

ICCV 2025 OminiControl: Minimal and Universal Control for Diffusion Transformer Zhenxiong Tan, Songhua Liu, Xingyi Yang, Qiaochu Xue, Xinchao Wang

CVPR 2025 POSTA: A Go-to Framework for Customized Artistic Poster Generation Haoyu Chen, Xiaojie Xu, Wenbo Li, Jingjing Ren, Tian Ye, Songhua Liu, Ying-Cong Chen, Lei Zhu, Xinchao Wang

ICML 2025 Point Cloud Dataset Distillation Deyu Bo, Xinchao Wang

CVPR 2025 PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning Song Wang, Xiaolu Liu, Lingdong Kong, Jianyun Xu, Chunyong Hu, Gongfan Fang, Wentong Li, Jianke Zhu, Xinchao Wang

ICLR 2025 Poison-Splat: Computation Cost Attack on 3D Gaussian Splatting Jiahao Lu, Yifan Zhang, Qiuhong Shen, Xinchao Wang, Shuicheng Yan

ICCV 2025 RogSplat: Robust Gaussian Splatting via Generative Priors Hanyang Kong, Xingyi Yang, Xinchao Wang

NeurIPS 2025 Test3R: Learning to Reconstruct 3D at Test Time Yuheng Yuan, Qiuhong Shen, Shizun Wang, Xingyi Yang, Xinchao Wang

NeurIPS 2025 Thinkless: LLM Learns When to Think Gongfan Fang, Xinyin Ma, Xinchao Wang

AAAI 2025 Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications Yutong Xia, Runpeng Yu, Yuxuan Liang, Xavier Bresson, Xinchao Wang, Roger Zimmermann

CVPR 2025 TinyFusion: Diffusion Transformers Learned Shallow Gongfan Fang, Kunjun Li, Xinyin Ma, Xinchao Wang

ICCV 2025 Towards Performance Consistency in Multi-Level Model Collaboration Qi Li, Runpeng Yu, Xinchao Wang

NeurIPS 2025 TreeSplat: Mergeable Tree for Deformable Gaussian Splatting Qiuhong Shen, Xingyi Yang, Xinchao Wang

ICML 2025 Ultra-Resolution Adaptation with Ease Ruonan Yu, Songhua Liu, Zhenxiong Tan, Xinchao Wang

ICCV 2025 UniversalBooth: Model-Agnostic Personalized Text-to-Image Generation Songhua Liu, Ruonan Yu, Xinchao Wang

NeurIPS 2025 VeriThinker: Learning to Verify Makes Reasoning Model Efficient Zigeng Chen, Xinyin Ma, Gongfan Fang, Ruonan Yu, Xinchao Wang

NeurIPS 2025 Vid-SME: Membership Inference Attacks Against Large Video Understanding Models Qi Li, Runpeng Yu, Xinchao Wang

NeurIPS 2025 dKV-Cache: The Cache for Diffusion Language Models Xinyin Ma, Runpeng Yu, Gongfan Fang, Xinchao Wang

CVPR 2024 Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images Chaoqin Huang, Aofan Jiang, Jinghao Feng, Ya Zhang, Xinchao Wang, Yanfeng Wang

NeurIPS 2024 AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising Zigeng Chen, Xinyin Ma, Gongfan Fang, Zhenxiong Tan, Xinchao Wang

ECCV 2024 Attention Prompting on Image for Large Vision-Language Models Runpeng Yu, Weihao Yu, Xinchao Wang

ICML 2024 Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models Zhihe Lu, Jiawang Bai, Xin Li, Zeyu Xiao, Xinchao Wang

CVPR 2024 DeepCache: Accelerating Diffusion Models for Free Xinyin Ma, Gongfan Fang, Xinchao Wang

CVPR 2024 Distilled Datamodel with Reverse Gradient Matching Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang

ECCV 2024 Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions Yihao Ai, Yifei Qi, Bo Wang, Yu Cheng, Xinchao Wang, Robby T. Tan

ECCV 2024 DreamDrone: Text-to-Image Diffusion Models Are Zero-Shot Perpetual View Generators Hanyang Kong, Dongze Lian, Michael Bi Mi, Xinchao Wang

ECCV 2024 Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-Time Adaptation Yushun Tang, Shuoshuo Chen, Zhihe Lu, Xinchao Wang, Zhihai He

ECCV 2024 Encapsulating Knowledge in One Prompt Qi Li, Runpeng Yu, Xinchao Wang

ECCV 2024 FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally Qiuhong Shen, Xingyi Yang, Xinchao Wang

NeurIPS 2024 Implicit Curriculum in Procgen Made Explicit Zhenxiong Tan, Kaixin Wang, Xinchao Wang

CVPR 2024 InceptionNeXt: When Inception Meets ConvNeXt Weihao Yu, Pan Zhou, Shuicheng Yan, Xinchao Wang

ECCV 2024 Isomorphic Pruning for Vision Models Gongfan Fang, Xinyin Ma, Michael Bi Mi, Xinchao Wang

NeurIPS 2024 Language Model as Visual Explainer Xingyi Yang, Xinchao Wang

NeurIPS 2024 Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching Xinyin Ma, Gongfan Fang, Michael Bi Mi, Xinchao Wang

ICML 2024 MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities Weihao Yu, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Zicheng Liu, Xinchao Wang, Lijuan Wang

NeurIPS 2024 MVGamba: Unify 3D Content Generation as State Space Sequence Modeling Xuanyu Yi, Zike Wu, Qiuhong Shen, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Shuicheng Yan, Xinchao Wang, Hanwang Zhang

NeurIPS 2024 MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, Xinchao Wang

IJCAI 2024 MetaISP: Efficient RAW-to-sRGB Mappings with Merely 1m Parameters Zigeng Chen, Chaowei Liu, Yuan Yuan, Michael Bi Mi, Xinchao Wang

CVPR 2024 MindBridge: A Cross-Subject Brain Decoding Framework Shizun Wang, Songhua Liu, Zhenxiong Tan, Xinchao Wang

AAAI 2024 Mutual-Modality Adversarial Attack with Semantic Perturbation Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang

CVPR 2024 Neural Lineage Runpeng Yu, Xinchao Wang

ECCV 2024 Neural Metamorphosis Xingyi Yang, Xinchao Wang

NeurIPS 2024 One-Shot Federated Learning via Synthetic Distiller-Distillate Communication Junyuan Zhang, Songhua Liu, Xinchao Wang

ECCV 2024 Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach Taolin Zhang, Jiawang Bai, Zhihe Lu, Dongze Lian, Genping Wang, Xinchao Wang, Shu-Tao Xia

ICML 2024 Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo

ICML 2024 Receptive Fields as Experts in Convolutional Neural Architectures Dongze Lian, Weihao Yu, Xinchao Wang

CVPR 2024 Relation Rectification in Diffusion Model Yinwei Wu, Xingyi Yang, Xinchao Wang

NeurIPS 2024 Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising Gongfan Fang, Xinyin Ma, Xinchao Wang

NeurIPS 2024 Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Yujie Mo, Zhihe Lu, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang

ICLR 2024 Self-Supervised Heterogeneous Graph Learning: A Homophily and Heterogeneity View Yujie Mo, Feiping Nie, Ping Hu, Heng Tao Shen, Zheng Zhang, Xinchao Wang, Xiaofeng Zhu

NeurIPS 2024 SlimSAM: 0.1% Data Makes Segment Anything Slim Zigeng Chen, Gongfan Fang, Xinyin Ma, Xinchao Wang

ICML 2024 StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang

ECCV 2024 Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching Ruonan Yu, Songhua Liu, Jingwen Ye, Xinchao Wang

CVPR 2024 Ungeneralizable Examples Jingwen Ye, Xinchao Wang

CVPR 2024 Unsegment Anything by Simulating Deformation Jiahao Lu, Xingyi Yang, Xinchao Wang

ECCV 2024 Vista3D: Unravel the 3D Darkside of a Single Image Qiuhong Shen, Xingyi Yang, Michael Bi Mi, Xinchao Wang

ICCV 2023 Auxiliary Tasks Benefit 3D Skeleton-Based Human Motion Prediction Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Xinchao Wang, Yanfeng Wang

CVPR 2023 Deep Graph Reprogramming Yongcheng Jing, Chongbin Yuan, Li Ju, Yiding Yang, Xinchao Wang, Dacheng Tao

CVPR 2023 DepGraph: Towards Any Structural Pruning Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang

ICCV 2023 Diffusion Model as Representation Learner Xingyi Yang, Xinchao Wang

CVPR 2023 Diffusion Probabilistic Model Made Slim Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang

CVPR 2023 Distribution Shift Inversion for Out-of-Distribution Prediction Runpeng Yu, Songhua Liu, Xingyi Yang, Xinchao Wang

CVPR 2023 EqMotion: Equivariant Multi-Agent Motion Prediction with Invariant Interaction Reasoning Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Yu Guang Wang, Xinchao Wang, Yanfeng Wang

ICCV 2023 Few-Shot Dataset Distillation via Translative Pre-Training Songhua Liu, Xinchao Wang

NeurIPS 2023 Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation Keji He, Chenyang Si, Zhihe Lu, Yan Huang, Liang Wang, Xinchao Wang

NeurIPS 2023 Generator Born from Classifier Runpeng Yu, Xinchao Wang

NeurIPS 2023 GraphAdapter: Tuning Vision-Language Models with Dual Knowledge Graph Xin Li, Dongze Lian, Zhihe Lu, Jiawang Bai, Zhibo Chen, Xinchao Wang

NeurIPS 2023 LLM-Pruner: On the Structural Pruning of Large Language Models Xinyin Ma, Gongfan Fang, Xinchao Wang

CVPRW 2023 Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report Marcos V. Conde, Manuel Kolmet, Tim Seizinger, Tom E. Bishop, Radu Timofte, Xiangyu Kong, Dafeng Zhang, Jinlong Wu, Fan Wang, Juewen Peng, Zhiyu Pan, Chengxin Liu, Xianrui Luo, Huiqiang Sun, Liao Shen, Zhiguo Cao, Ke Xian, Chaowei Liu, Zigeng Chen, Xingyi Yang, Songhua Liu, Yongcheng Jing, Michael Bi Mi, Xinchao Wang, Zhihao Yang, Wenyi Lian, Siyuan Lai, Haichuan Zhang, Trung Hoang, Amirsaeed Yazdani, Vishal Monga, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Yuxuan Zhao, Baoliang Chen, Yiqing Xu, JiXiangNiu

NeurIPS 2023 MGDD: A Meta Generator for Fast Dataset Distillation Songhua Liu, Xinchao Wang

CVPR 2023 Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer Hao Tang, Songhua Liu, Tianwei Lin, Shaoli Huang, Fu Li, Dongliang He, Xinchao Wang

NeurIPS 2023 Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation Dapeng Hu, Jian Liang, Jun Hao Liew, Chuhui Xue, Song Bai, Xinchao Wang

ICCV 2023 PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection Ming Nie, Yujing Xue, Chunwei Wang, Chaoqiang Ye, Hang Xu, Xinge Zhu, Qingqiu Huang, Michael Bi Mi, Xinchao Wang, Li Zhang

CVPR 2023 Partial Network Cloning Jingwen Ye, Songhua Liu, Xinchao Wang

ICCV 2023 Priority-Centric Human Motion Generation in Discrete Latent Space Hanyang Kong, Kehong Gong, Dongze Lian, Michael Bi Mi, Xinchao Wang

NeurIPSW 2023 Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Domain Adaptation Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo

ICML 2023 Reachability-Aware Laplacian Representation in Reinforcement Learning Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang

ICCV 2023 SG-Former: Self-Guided Transformer with Evolving Token Reallocation Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang

CVPR 2023 Slimmable Dataset Condensation Songhua Liu, Jingwen Ye, Runpeng Yu, Xinchao Wang

NeurIPS 2023 Structural Pruning for Diffusion Models Gongfan Fang, Xinyin Ma, Xinchao Wang

ICCV 2023 TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration Kehong Gong, Dongze Lian, Heng Chang, Chuan Guo, Zihang Jiang, Xinxin Zuo, Michael Bi Mi, Xinchao Wang

CVPR 2023 Task Residual for Tuning Vision-Language Models Tao Yu, Zhihe Lu, Xin Jin, Zhibo Chen, Xinchao Wang

ECCV 2022 Attention Diversification for Domain Generalization Rang Meng, Xianfeng Li, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Mingli Song, Di Xie, Shiliang Pu

ECCVW 2022 AvatarGen: A 3D Generative Model for Animatable Human Avatars Jianfeng Zhang, Zihang Jiang, Dingdong Yang, Hongyi Xu, Yichun Shi, Guoxian Song, Zhongcong Xu, Xinchao Wang, Jiashi Feng

CVPR 2022 CAFE: Learning to Condense Dataset by Aligning Features Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, Yang You

NeurIPS 2022 Dataset Distillation via Factorization Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, Xinchao Wang

NeurIPS 2022 Deep Model Reassembly Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang

ECCV 2022 DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang

ECCV 2022 Factorizing Knowledge in Neural Networks Xingyi Yang, Jingwen Ye, Xinchao Wang

CVPR 2022 Geometric Structure Preserving Warp for Natural Image Stitching Peng Du, Jifeng Ning, Jiguang Cui, Shaoli Huang, Xinchao Wang, Jiaxin Wang

ECCV 2022 Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt

ICLR 2022 How Well Does Self-Supervised Pre-Training Perform with Streaming Data? Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng

NeurIPS 2022 Inception Transformer Chenyang Si, Weihao Yu, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan

LoG 2022 Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction Kuangqi Zhou, Kaixin Wang, Jian Tang, Jiashi Feng, Bryan Hooi, Peilin Zhao, Tingyang Xu, Xinchao Wang

ICML 2022 Learning Domain Adaptive Object Detection with Probabilistic Teacher Meilin Chen, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Yunfeng Yan, Donglian Qi, Yueting Zhuang, Di Xie, Shiliang Pu

ECCV 2022 Learning Graph Neural Networks for Image Style Transfer Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao

ECCV 2022 Learning with Recoverable Forgetting Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang

CVPR 2022 MetaFormer Is Actually What You Need for Vision Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan

CVPR 2022 Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You

CVPR 2022 Point2Seq: Detecting 3D Objects as Sequences Yujing Xue, Jiageng Mao, Minzhe Niu, Hang Xu, Michael Bi Mi, Wei Zhang, Xiaogang Wang, Xinchao Wang

CVPR 2022 PoseTriplet: Co-Evolving 3D Human Pose Estimation, Imitation, and Hallucination Under Self-Supervision Kehong Gong, Bingbing Li, Jianfeng Zhang, Tao Wang, Jing Huang, Michael Bi Mi, Jiashi Feng, Xinchao Wang

IJCAI 2022 Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu

ECCV 2022 Relationship Spatialization for Depth Estimation Xiaoyu Xu, Jiayan Qiu, Xinchao Wang, Zhou Wang

AAAI 2022 Safe Distillation Box Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song

NeurIPS 2022 Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang

CVPR 2022 Shunted Self-Attention via Multi-Scale Token Aggregation Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang

CVPR 2022 Slimmable Domain Adaptation Rang Meng, Weijie Chen, Shicai Yang, Jie Song, Luojun Lin, Di Xie, Shiliang Pu, Xinchao Wang, Mingli Song, Yueting Zhuang

NeurIPS 2022 Training Spiking Neural Networks with Local Tandem Learning Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li

ECCVW 2022 Unleashing the Potential of Adaptation Models via Go-Getting Domain Labels Xin Jin, Tianyu He, Xu Shen, Songhua Wu, Tongliang Liu, Jingwen Ye, Xinchao Wang, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua

AAAI 2022 Up to 100x Faster Data-Free Knowledge Distillation Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song

CVPR 2021 Amalgamating Knowledge from Heterogeneous Graph Neural Networks Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao

IJCAI 2021 Boundary Knowledge Translation Based Reference Semantic Segmentation Lechao Cheng, Zunlei Feng, Xinchao Wang, Ya Jie Liu, Jie Lei, Mingli Song

IJCAI 2021 Contrastive Model Invertion for Data-Free Knolwedge Distillation Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song

AAAI 2021 Edge-Competing Pathological Liver Vessel Segmentation with Limited Labels Zunlei Feng, Zhonghua Wang, Xinchao Wang, Xiuming Zhang, Lechao Cheng, Jie Lei, Yuexuan Wang, Mingli Song

NeurIPSW 2021 How Well Does Self-Supervised Pre-Training Perform with Streaming ImageNet? Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng

IJCAI 2021 KDExplainer: A Task-Oriented Attention Model for Explaining Knowledge Distillation Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song

CVPR 2021 Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking Yiding Yang, Zhou Ren, Haoxiang Li, Chunluan Zhou, Xinchao Wang, Gang Hua

ICCV 2021 Meta-Aggregator: Learning to Aggregate for 1-Bit Graph Neural Networks Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao

NeurIPS 2021 Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song

ICCV 2021 Mutual-Complementing Framework for Nuclei Detection and Segmentation in Pathology Image Zunlei Feng, Zhonghua Wang, Xinchao Wang, Yining Mao, Thomas Li, Jie Lei, Yuexuan Wang, Mingli Song

CVPR 2021 Online Multiple Object Tracking with Cross-Task Synergy Song Guo, Jingya Wang, Xinchao Wang, Dacheng Tao

AAAI 2021 Overcoming Catastrophic Forgetting in Graph Neural Networks Huihui Liu, Yiding Yang, Xinchao Wang

AAAI 2021 Progressive Network Grafting for Few-Shot Knowledge Distillation Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song

CVPR 2021 Scene Essence Jiayan Qiu, Yiding Yang, Xinchao Wang, Dacheng Tao

ICCV 2021 Self-Born Wiring for Neural Trees Ying Chen, Feng Mao, Jie Song, Xinchao Wang, Huiqiong Wang, Mingli Song

AAAI 2021 SnapMix: Semantically Proportional Mixing for Augmenting Fine-Grained Data Shaoli Huang, Xinchao Wang, Dacheng Tao

ICCV 2021 Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-Grained Recognition Shaoli Huang, Xinchao Wang, Dacheng Tao

CVPR 2021 Training Generative Adversarial Networks in One Stage Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song

CVPR 2021 Tree-like Decision Distillation Jie Song, Haofei Zhang, Xinchao Wang, Mengqi Xue, Ying Chen, Li Sun, Dacheng Tao, Mingli Song

CVPR 2021 Turning Frequency to Resolution: Video Super-Resolution via Event Cameras Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao

AAAI 2021 Visual Boundary Knowledge Translation for Foreground Segmentation Zunlei Feng, Lechao Cheng, Xinchao Wang, Xiang Wang, Ya Jie Liu, Xiangtong Du, Mingli Song

ECCV 2020 Collaboration by Competition: Self-Coordinated Knowledge Amalgamation for Multi-Talent Student Learning Sihui Luo, Wenwen Pan, Xinchao Wang, Dazhou Wang, Haihong Tang, Mingli Song

CVPR 2020 DEPARA: Deep Attribution Graph for Deep Knowledge Transferability Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song

CVPR 2020 Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song

CVPR 2020 Distilling Knowledge from Graph Convolutional Networks Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang

AAAI 2020 Diversified Bayesian Nonnegative Matrix Factorization Maoying Qiao, Jun Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao

AAAI 2020 Dynamic Instance Normalization for Arbitrary Style Transfer Yongcheng Jing, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, Shilei Wen

NeurIPS 2020 Factorizable Graph Convolutional Networks Yiding Yang, Zunlei Feng, Mingli Song, Xinchao Wang

ECCV 2020 Hallucinating Visual Instances in Total Absentia Jiayan Qiu, Yiding Yang, Xinchao Wang, Dacheng Tao

AAAI 2020 Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers Ya Zhao, Rui Xu, Xinchao Wang, Peng Hou, Haihong Tang, Mingli Song

CVPR 2020 Learning Oracle Attention for High-Fidelity Face Completion Tong Zhou, Changxing Ding, Shaowen Lin, Xinchao Wang, Dacheng Tao

ECCV 2020 Learning Propagation Rules for Attribution mAP Generation Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang

NeurIPS 2020 One-Sample Guided Object Representation Disassembling Zunlei Feng, Yongming He, Xinchao Wang, Xin Gao, Jie Lei, Cheng Jin, Mingli Song

IJCAI 2019 Amalgamating Filtered Knowledge: Learning Task-Customized Student from Multi-Task Teachers Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song

AAAI 2019 Amalgamating Knowledge Towards Comprehensive Classification Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song

ICCV 2019 Customizing Student Networks from Heterogeneous Teachers via Adaptive Knowledge Amalgamation Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song

NeurIPS 2019 Deep Model Transferability from Attribution Maps Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song

AAAI 2019 Horizontal Pyramid Matching for Person Re-Identification Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas S. Huang

WACV 2019 Improving 3D Human Pose Estimation via 3D Part Affinity Fields Ding Liu, Zixu Zhao, Xinchao Wang, Yuxiao Hu, Lei Zhang, Thomas S. Huang

IJCAI 2019 Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song

ICCV 2019 Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-Directional Dependencies of Body Parts Jue Wang, Shaoli Huang, Xinchao Wang, Dacheng Tao

IJCAI 2019 SPAGAN: Shortest Path Graph Attention Network Yiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, Dacheng Tao

CVPR 2019 Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song

CVPR 2019 World from Blur Jiayan Qiu, Xinchao Wang, Stephen J. Maybank, Dacheng Tao

NeurIPS 2018 Dual Swap Disentangling Zunlei Feng, Xinchao Wang, Chenglong Ke, An-Xiang Zeng, Dacheng Tao, Mingli Song

ECCV 2018 FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification Xiaoqing Yin, Xinchao Wang, Jun Yu, Maojun Zhang, Pascal Fua, Dacheng Tao

CVPR 2018 Geometry-Aware Scene Text Detection with Instance Transformation Network Fangfang Wang, Liming Zhao, Xi Li, Xinchao Wang, Dacheng Tao

CVPRW 2018 Geometry-Aware Traffic Flow Analysis by Detection and Tracking Honghui Shi, Zhonghao Wang, Yang Zhang, Xinchao Wang, Thomas S. Huang

CVPRW 2017 Balanced Two-Stage Residual Networks for Image Super-Resolution Yuchen Fan, Honghui Shi, Jiahui Yu, Ding Liu, Wei Han, Haichao Yu, Zhangyang Wang, Xinchao Wang, Thomas S. Huang

CVPRW 2017 NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo

ICCV 2017 Non-Markovian Globally Consistent Multi-Object Tracking Andrii Maksai, Xinchao Wang, Francois Fleuret, Pascal Fua

CVPR 2017 On Compressing Deep Models by Low Rank and Sparse Decomposition Xiyu Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao

CVPRW 2016 Do We Need Binary Features for 3D Reconstruction? Bin Fan, Qingqun Kong, Wei Sui, Zhiheng Wang, Xinchao Wang, Shiming Xiang, Chunhong Pan, Pascal Fua

CVPR 2016 What Players Do with the Ball: A Physically Constrained Interaction Modeling Andrii Maksai, Xinchao Wang, Pascal Fua

ECCVW 2014 Multiple Human Pose Estimation with Temporally Consistent 3D Pictorial Structures Vasileios Belagiannis, Xinchao Wang, Bernt Schiele, Pascal Fua, Slobodan Ilic, Nassir Navab

ECCV 2014 Tracking Interacting Objects Optimally Using Integer Programming Xinchao Wang, Engin Türetken, François Fleuret, Pascal Fua