Xiaoliang Dai
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
6
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | Conversational Image Generation: Towards Multi-Round Personalized Generation with Multi-Modal Language Models. | Haochen Zhang, Animesh Sinha, Felix Juefei-Xu, Haoyu Ma, Kunpeng Li, Zhipeng Fan, Xiaoliang Dai, Tingbo Hou, Peizhao Zhang, Zecheng He |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2024 | CVPR | Cache Me if You Can: Accelerating Diffusion Models through Block Caching. | Felix Wimbauer, Bichen Wu, Edgar Schnfeld, Xiaoliang Dai, Ji Hou, Zijian He, Artsiom Sanakoyeu, Peizhao Zhang, Sam S. Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, Jialiang Wang |
| 2024 | CVPR | 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 N. Iandola, Raghuraman Krishnamoorthi, Vikas Chandra |
| 2024 | CVPR | 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 |
| 2024 | ECCV | LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning. | Bolin Lai, Xiaoliang Dai, Lawrence Chen, Guan Pang, James M. Rehg, Miao Liu |
| 2023 | CVPR | Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence. | Yonggan Fu, Yuecheng Li, Chenghui Li, Jason M. Saragih, Peizhao Zhang, Xiaoliang Dai, Yingyan Celine Lin |
| 2023 | CVPR | Mask3D: Pretraining 2D Vision Transformers by Learning Masked 3D Priors. | Ji Hou, Xiaoliang Dai, Zijian He, Angela Dai, Matthias Niener |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Trainable Projected Gradient Method for Robust Fine-Tuning. | Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira |
| 2023 | CVPR | 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 Celine Lin |
| 2023 | ICLR | Token Merging: Your ViT But Faster. | Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman |
| 2023 | WWW | NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. | Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen |
| 2022 | CVPR | 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 |
| 2022 | ECCV | Hydra Attention: Efficient Attention with Many Heads. | Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Judy Hoffman |
| 2022 | ECCV | Open-Set Semi-Supervised Object Detection. | Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira |
| 2021 | CVPR | 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 |
| 2021 | CVPR | Rethinking the Self-Attention in Vision Transformers. | Kyungmin Kim, Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Zhicheng Yan, Peter Vajda, Seon Joo Kim |
| 2021 | CVPR | FP-NAS: Fast Probabilistic Neural Architecture Search. | Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli |
| 2021 | ICCV | 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 Gonzalez, Kurt Keutzer, Peter Vajda |
| 2020 | CVPR | FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions. | Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, Peter Vajda, Joseph E. Gonzalez |
| 2019 | CVPR | ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation. | Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha |
| 2019 | CVPR | FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search. | Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer |