Dai, Xiaoliang

21 publications

CVPR 2025 LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity Hongjie Wang, Chih-Yao Ma, Yen-Cheng Liu, Ji Hou, Tao Xu, Jialiang Wang, Felix Juefei-Xu, Yaqiao Luo, Peizhao Zhang, Tingbo Hou, Peter Vajda, Niraj K. Jha, Xiaoliang Dai

NeurIPS 2025 MoCha: Towards Movie-Grade Talking Character Generation Cong Wei, Bo Sun, Haoyu Ma, Ji Hou, Felix Juefei-Xu, Zecheng He, Xiaoliang Dai, Luxin Zhang, Kunpeng Li, Tingbo Hou, Animesh Sinha, Peter Vajda, Wenhu Chen

CVPR 2025 Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts Feng Liang, Haoyu Ma, Zecheng He, Tingbo Hou, Ji Hou, Kunpeng Li, Xiaoliang Dai, Felix Juefei-Xu, Samaneh Azadi, Animesh Sinha, Peizhao Zhang, Peter Vajda, Diana Marculescu

CVPR 2025 Unleashing In-Context Learning of Autoregressive Models for Few-Shot Image Manipulation Bolin Lai, Felix Juefei-Xu, Miao Liu, Xiaoliang Dai, Nikhil Mehta, Chenguang Zhu, Zeyi Huang, James M. Rehg, Sangmin Lee, Ning Zhang, Tong Xiao

CVPR 2024 Cache Me if You Can: Accelerating Diffusion Models Through Block Caching Felix Wimbauer, Bichen Wu, Edgar Schoenfeld, Xiaoliang Dai, Ji Hou, Zijian He, Artsiom Sanakoyeu, Peizhao Zhang, Sam Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, Jialiang Wang

CVPR 2024 EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything Yunyang Xiong, Bala Varadarajan, Lemeng Wu, Xiaoyu Xiang, Fanyi Xiao, Chenchen Zhu, Xiaoliang Dai, Dilin Wang, Fei Sun, Forrest Iandola, Raghuraman Krishnamoorthi, Vikas Chandra

ECCV 2024 LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning Bolin Lai, Xiaoliang Dai, Lawrence Chen, Guan Pang, James M Rehg, Miao Liu

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

CVPR 2023 Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-Time Mobile Telepresence Yonggan Fu, Yuecheng Li, Chenghui Li, Jason Saragih, Peizhao Zhang, Xiaoliang Dai, Yingyan Lin

CVPR 2023 Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference Haoran You, Yunyang Xiong, Xiaoliang Dai, Bichen Wu, Peizhao Zhang, Haoqi Fan, Peter Vajda, Yingyan Lin

CVPR 2023 Mask3D: Pre-Training 2D Vision Transformers by Learning Masked 3D Priors Ji Hou, Xiaoliang Dai, Zijian He, Angela Dai, Matthias Nießner

CVPR 2023 Open-Vocabulary Semantic Segmentation with Mask-Adapted CLIP Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu

ICLR 2023 Token Merging: Your ViT but Faster Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman

CVPR 2023 Trainable Projected Gradient Method for Robust Fine-Tuning Junjiao Tian, Zecheng He, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Zsolt Kira

CVPR 2022 Cross-Domain Adaptive Teacher for Object Detection Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Peter Vajda

ECCVW 2022 Hydra Attention: Efficient Attention with Many Heads Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Judy Hoffman

ECCV 2022 Open-Set Semi-Supervised Object Detection Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira

CVPR 2021 FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez

CVPR 2021 FP-NAS: Fast Probabilistic Neural Architecture Search Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli

CVPRW 2021 Rethinking the Self-Attention in Vision Transformers Kyungmin Kim, Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Zhicheng Yan, Peter Vajda, Seon Joo Kim

ICCV 2021 Visual Transformers: Where Do Transformers Really Belong in Vision Models? Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph E. Gonzalez, Kurt Keutzer, Peter Vajda