Liu, Di

21 publications

ICLR 2025 Implicit In-Context Learning Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu, Hao Wang, Dimitris N. Metaxas
ICLR 2025 Improved Training Technique for Latent Consistency Models Quan Dao, Khanh Doan, Di Liu, Trung Le, Dimitris N. Metaxas
CVPR 2025 LUCAS: Layered Universal Codec Avatars Di Liu, Teng Deng, Giljoo Nam, Yu Rong, Stanislav Pidhorskyi, Junxuan Li, Jason Saragih, Dimitris N. Metaxas, Chen Cao
IJCAI 2025 Learning Causally Disentangled Representations for Fair Personality Detection Yangfu Zhu, Meiling Li, Yuting Wei, Di Liu, Yuqing Li, Bin Wu
NeurIPS 2025 RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Zhenhua Han, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
CVPR 2025 Show and Segment: Universal Medical Image Segmentation via In-Context Learning Yunhe Gao, Di Liu, Zhuowei Li, Yunsheng Li, Dongdong Chen, Mu Zhou, Dimitris N. Metaxas
ICCV 2025 T2Bs: Text-to-Character Blendshapes via Video Generation Jiahao Luo, Chaoyang Wang, Michael Vasilkovsky, Vladislav Shakhrai, Di Liu, Peiye Zhuang, Sergey Tulyakov, Peter Wonka, Hsin-Ying Lee, James Davis, Jian Wang
AAAI 2025 Temporal Action Localization with Cross Layer Task Decoupling and Refinement Qiang Li, Di Liu, Jun Kong, Sen Li, Hui Xu, Jianzhong Wang
ICML 2025 The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering Zhuowei Li, Haizhou Shi, Yunhe Gao, Di Liu, Zhenting Wang, Yuxiao Chen, Ting Liu, Long Zhao, Hao Wang, Dimitris N. Metaxas
CVPR 2024 Instantaneous Perception of Moving Objects in 3D Di Liu, Bingbing Zhuang, Dimitris N. Metaxas, Manmohan Chandraker
CVPR 2024 Layout-Agnostic Scene Text Image Synthesis with Diffusion Models Qilong Zhangli, Jindong Jiang, Di Liu, Licheng Yu, Xiaoliang Dai, Ankit Ramchandani, Guan Pang, Dimitris N. Metaxas, Praveen Krishnan
WACV 2024 ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance Ligong Han, Song Wen, Qi Chen, Zhixing Zhang, Kunpeng Song, Mengwei Ren, Ruijiang Gao, Anastasis Stathopoulos, Xiaoxiao He, Yuxiao Chen, Di Liu, Qilong Zhangli, Jindong Jiang, Zhaoyang Xia, Akash Srivastava, Dimitris Metaxas
WACV 2024 Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting Song Wen, Hao Wang, Di Liu, Qilong Zhangli, Dimitris Metaxas
WACV 2024 Steering Prototypes with Prompt-Tuning for Rehearsal-Free Continual Learning Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas
ICCV 2023 DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image Di Liu, Xiang Yu, Meng Ye, Qilong Zhangli, Zhuowei Li, Zhixing Zhang, Dimitris N. Metaxas
CVPR 2023 Improving Generalization with Domain Convex Game Fangrui Lv, Jian Liang, Shuang Li, Jinming Zhang, Di Liu
NeurIPS 2023 LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction Di Liu, Anastasis Stathopoulos, Qilong Zhangli, Yunhe Gao, Dimitris Metaxas
NeurIPS 2023 Pairwise GUI Dataset Construction Between Android Phones and Tablets Han Hu, Haolan Zhan, Yujin Huang, Di Liu
CVPR 2022 Causality Inspired Representation Learning for Domain Generalization Fangrui Lv, Jian Liang, Shuang Li, Bin Zang, Chi Harold Liu, Ziteng Wang, Di Liu
NeurIPS 2022 Contrastive Graph Structure Learning via Information Bottleneck for Recommendation Chunyu Wei, Jian Liang, Di Liu, Fei Wang
NeurIPS 2021 Pareto Domain Adaptation Fangrui Lv, Jian Liang, Kaixiong Gong, Shuang Li, Chi Harold Liu, Han Li, Di Liu, Guoren Wang