Liu, Liu

66 publications

NeurIPS 2025 DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Ruiqi Wu, Xinjie Wang, Liu.Liu, Chun-Le Guo, Jiaxiong Qiu, Chongyi Li, Lichao Huang, Zhizhong Su, Ming-Ming Cheng

CVPR 2025 DynFocus: Dynamic Cooperative Network Empowers LLMs with Video Understanding Yudong Han, Qingpei Guo, Liyuan Pan, Liu Liu, Yu Guan, Ming Yang

CVPR 2025 EZSR: Event-Based Zero-Shot Recognition Yan Yang, Liyuan Pan, Dongxu Li, Liu Liu

CVPR 2025 GaPT-DAR: Category-Level Garments Pose Tracking via Integrated 2D Deformation and 3D Reconstruction Li Zhang, Mingliang Xu, Jianan Wang, Qiaojun Yu, Lixin Yang, Yonglu Li, Cewu Lu, Rujing Wang, Liu Liu

CVPR 2025 GaussTR: Foundation Model-Aligned Gaussian Transformer for Self-Supervised 3D Spatial Understanding Haoyi Jiang, Liu Liu, Tianheng Cheng, Xinjie Wang, Tianwei Lin, Zhizhong Su, Wenyu Liu, Xinggang Wang

AAAI 2025 HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting Shibo Feng, Peilin Zhao, Liu Liu, Pengcheng Wu, Zhiqi Shen

IJCAI 2025 Injecting Imbalance Sensitivity for Multi-Task Learning Zhipeng Zhou, Liu Liu, Peilin Zhao, Wei Gong

NeurIPS 2025 Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts Under State-Decomposable MDP Yuxin Pan, Zhiguang Cao, Chengyang Gu, Liu Liu, Peilin Zhao, Yize Chen, Fangzhen Lin

IJCAI 2025 Pre-Defined Keypoints Promote Category-Level Articulation Pose Estimation via Multi-Modal Alignment Wenbo Xu, Li Zhang, Liu Liu, Yan Zhong, Haonan Jiang, Xue Wang, Rujing Wang

ICML 2025 Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples Chengqian Gao, Haonan Li, Liu Liu, Zeke Xie, Peilin Zhao, Zhiqiang Xu

AAAI 2025 R2-Art: Category-Level Articulation Pose Estimation from Single RGB Image via Cascade Render Strategy Li Zhang, Haonan Jiang, Yukang Huo, Yan Zhong, Jianan Wang, Xue Wang, Rujing Wang, Liu Liu

NeurIPS 2025 REArtGS: Reconstructing and Generating Articulated Objects via 3D Gaussian Splatting with Geometric and Motion Constraints Di Wu, Liu Liu, Zhou Linli, Anran Huang, Liangtu Song, Qiaojun Yu, Qi Wu, Cewu Lu

NeurIPS 2025 SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation Yanwei Ren, Haotian Zhang, Fuxiang Wu, Jiayan Qiu, Jiaxing Huang, Baosheng Yu, Liu Liu

NeurIPS 2025 Storyboard-Guided Alignment for Fine-Grained Video Action Recognition Enqi Liu, Liyuan Pan, Yan Yang, Yiran Zhong, Zhijing Wu, Xinxiao Wu, Liu Liu

ICML 2025 Test-Time Adapted Reinforcement Learning with Action Entropy Regularization Shoukai Xu, Zihao Lian, Mingkui Tan, Liu Liu, Zhong Zhang, Peilin Zhao

WACV 2024 Convolutional Masked Image Modeling for Dense Prediction Tasks on Pathology Images Yan Yang, Liyuan Pan, Liu Liu, Eric A. Stone

NeurIPS 2024 EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation Xinyi Yu, Haonan Jiang, Li Zhang, Lin Yuanbo Wu, Linin Ou, Liu Liu

ECCV 2024 Event Camera Data Dense Pre-Training Yan Yang, Liyuan Pan, Liu Liu

AAAI 2024 KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6d Pose Tracking Liu Liu, Anran Huang, Qi Wu, Dan Guo, Xun Yang, Meng Wang

NeurIPSW 2024 MAPLE: Memory-Aware Predict and Load for Efficient LLM Inference Zhenyu Liu, Zhemin Zhang, Zirui Zhang, Yanyuan Qin, Jiayi Luo, Zhenyu Gu, Liu Liu

ICLR 2024 Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution Zhipeng Zhou, Liu Liu, Peilin Zhao, Wei Gong

NeurIPS 2024 Rethinking 3D Convolution in $\ell_p$-Norm Space Li Zhang, Yan Zhong, Jianan Wang, Zhe Min, Rujing Wang, Liu Liu

ICMLW 2024 Step-on-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping Haoyu Wang, Guozheng Ma, Ziqiao Meng, Zeyu Qin, Li Shen, Zhong Zhang, Bingzhe Wu, Liu Liu, Yatao Bian, Tingyang Xu, Xueqian Wang, Peilin Zhao

ECCV 2024 U-COPE: Taking a Further Step to Universal 9d Category-Level Object Pose Estimation Li Zhang, Weiqing Meng, Yan Zhong, Bin Kong, Mingliang Xu, Jianming Du, Xue Wang, Rujing Wang, Liu Liu

ICLR 2023 BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion Fu-Yun Wang, Da-Wei Zhou, Liu Liu, Han-Jia Ye, Yatao Bian, De-Chuan Zhan, Peilin Zhao

CVPRW 2023 CheckSORT: Refined Synthetic Data Combination and Optimized SORT for Automatic Retail Checkout Ziqiang Shi, Zhongling Liu, Liu Liu, Rujie Liu, Takuma Yamamoto, Xiaoyu Mi, Daisuke Uchida

ICCV 2023 Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification Fusheng Hao, Fengxiang He, Liu Liu, Fuxiang Wu, Dacheng Tao, Jun Cheng

TMLR 2023 Dynamics Adapted Imitation Learning Zixuan Liu, Liu Liu, Bingzhe Wu, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao

ICCV 2023 Event Camera Data Pre-Training Yan Yang, Liyuan Pan, Liu Liu

CVPR 2023 K3DN: Disparity-Aware Kernel Estimation for Dual-Pixel Defocus Deblurring Yan Yang, Liyuan Pan, Liu Liu, Miaomiao Liu

AAAI 2023 Reject Decoding via Language-Vision Models for Text-to-Image Synthesis Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Lei Wang, Jun Cheng

CVPR 2022 AKB-48: A Real-World Articulated Object Knowledge Base Liu Liu, Wenqiang Xu, Haoyuan Fu, Sucheng Qian, Qiaojun Yu, Yang Han, Cewu Lu

ECCV 2022 Balancing Stability and Plasticity Through Advanced Null Space in Continual Learning Yajing Kong, Liu Liu, Zhen Wang, Dacheng Tao

WACV 2022 Biomass Prediction with 3D Point Clouds from LiDAR Liyuan Pan, Liu Liu, Anthony G. Condon, Gonzalo M. Estavillo, Robert A. Coe, Geoff Bull, Eric A. Stone, Lars Petersson, Vivien Rolland

AAAI 2022 Channelized Axial Attention - Considering Channel Relation Within Spatial Attention for Semantic Segmentation Ye Huang, Di Kang, Wenjing Jia, Liu Liu, Xiangjian He

AAAI 2022 Continual Learning Through Retrieval and Imagination Zhen Wang, Liu Liu, Yiqun Duan, Dacheng Tao

CVPR 2022 Continual Learning with Lifelong Vision Transformer Zhen Wang, Liu Liu, Yiqun Duan, Yajing Kong, Dacheng Tao

NeurIPS 2022 Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits Kaining Zhang, Liu Liu, Min-Hsiu Hsieh, Dacheng Tao

ECCV 2022 Learning Object Placement via Dual-Path Graph Completion Siyuan Zhou, Liu Liu, Li Niu, Liqing Zhang

CVPR 2022 OakInk: A Large-Scale Knowledge Repository for Understanding Hand-Object Interaction Lixin Yang, Kailin Li, Xinyu Zhan, Fei Wu, Anran Xu, Liu Liu, Cewu Lu

ECCV 2022 Online Continual Learning with Contrastive Vision Transformer Zhen Wang, Liu Liu, Yajing Kong, Jiaxian Guo, Dacheng Tao

AAAI 2022 Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du

CVPR 2022 Text-to-Image Synthesis Based on Object-Guided Joint-Decoding Transformer Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Jun Cheng

AAAI 2022 Transcribing Natural Languages for the Deaf via Neural Editing Programs Dongxu Li, Chenchen Xu, Liu Liu, Yiran Zhong, Rong Wang, Lars Petersson, Hongdong Li

NeurIPS 2022 UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao

AAAI 2021 Activity Image-to-Video Retrieval by Disentangling Appearance and Motion Liu Liu, Jiangtong Li, Li Niu, Ruicong Xu, Liqing Zhang

ICCV 2021 Adaptive Curriculum Learning Yajing Kong, Liu Liu, Jun Wang, Dacheng Tao

NeurIPS 2021 Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels Sheng Wan, Yibing Zhan, Liu Liu, Baosheng Yu, Shirui Pan, Chen Gong

AAAI 2021 Multi-Label Few-Shot Learning with Semantic Inference (Student Abstract) Zhen Wang, Yiqun Duan, Liu Liu, Dacheng Tao

CVPR 2021 PluckerNet: Learn to Register 3D Line Reconstructions Liu Liu, Hongdong Li, Haodong Yao, Ruyi Zha

NeurIPS 2021 Weak-Shot Fine-Grained Classification via Similarity Transfer Junjie Chen, Li Niu, Liu Liu, Liqing Zhang

ICML 2020 Boosting Deep Neural Network Efficiency with Dual-Module Inference Liu Liu, Lei Deng, Zhaodong Chen, Yuke Wang, Shuangchen Li, Jingwei Zhang, Yihua Yang, Zhenyu Gu, Yufei Ding, Yuan Xie

ICML 2020 Deep Streaming Label Learning Zhen Wang, Liu Liu, Dacheng Tao

AISTATS 2020 High Dimensional Robust Sparse Regression Liu Liu, Yanyao Shen, Tianyang Li, Constantine Caramanis

AAAI 2020 Optimal Feature Transport for Cross-View Image Geo-Localization Yujiao Shi, Xin Yu, Liu Liu, Tong Zhang, Hongdong Li

NeurIPS 2020 Robust Compressed Sensing Using Generative Models Ajil Jalal, Liu Liu, Alexandros G Dimakis, Constantine Caramanis

ECCV 2020 Solving the Blind Perspective-N-Point Problem End-to-End with Robust Differentiable Geometric Optimization Dylan Campbell, Liu Liu, Stephen Gould

ICLR 2019 Dynamic Sparse Graph for Efficient Deep Learning Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie

NeurIPS 2019 Spatial-Aware Feature Aggregation for Image Based Cross-View Geo-Localization Yujiao Shi, Liu Liu, Xin Yu, Hongdong Li

WACV 2018 Discriminative Cross-View Binary Representation Learning Liu Liu, Hairong Qi

AAAI 2018 Statistical Inference Using SGD Tianyang Li, Liu Liu, Anastasios Kyrillidis, Constantine Caramanis

ICCV 2017 Efficient Global 2D-3D Matching for Camera Localization in a Large-Scale 3D mAP Liu Liu, Hongdong Li, Yuchao Dai

WACV 2017 Learning Effective Binary Descriptors via Cross Entropy Liu Liu, Hairong Qi

WACV 2016 Deep Tree-Structured Face: A Unified Representation for Multi-Task Facial Biometrics Rui Guo, Liu Liu, Wei Wang, Ali Taalimi, Chi Zhang, Hairong Qi

ECCV 2014 Recognizing City Identity via Attribute Analysis of Geo-Tagged Images Bolei Zhou, Liu Liu, Aude Oliva, Antonio Torralba

NeurIPS 2010 Efficient Relational Learning with Hidden Variable Detection Ni Lao, Jun Zhu, Liu Liu, Yandong Liu, William W. Cohen