Peter Vajda
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
9
Active years
2008–2025
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 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 | 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 |
| 2025 | ICML | Learnings from Scaling Visual Tokenizers for Reconstruction and Generation. | Philippe Hansen-Estruch, David Yan, Ching-Yao Chuang, Orr Zohar, Jialiang Wang, Tingbo Hou, Tao Xu, Sriram Vishwanath, Peter Vajda, Xinlei Chen |
| 2024 | CVPR | FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis. | Feng Liang, Bichen Wu, Jialiang Wang, Licheng Yu, Kunpeng Li, Yinan Zhao, Ishan Misra, Jia-Bin Huang, Peizhao Zhang, Peter Vajda, Diana Marculescu |
| 2024 | CVPR | ControlRoom3D: Room Generation Using Semantic Proxy Rooms. | Jonas Schult, Sam S. Tsai, Lukas Hllein, Bichen Wu, Jialiang Wang, Chih-Yao Ma, Kunpeng Li, Xiaofang Wang, Felix Wimbauer, Zijian He, Peizhao Zhang, Bastian Leibe, Peter Vajda, Ji Hou |
| 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 | Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis. | Bichen Wu, Ching-Yao Chuang, Xiaoyan Wang, Yichen Jia, Kapil Krishnakumar, Tong Xiao, Feng Liang, Licheng Yu, Peter Vajda |
| 2024 | CVPR | AVID: Any-Length Video Inpainting with Diffusion Model. | Zhixing Zhang, Bichen Wu, Xiaoyan Wang, Yaqiao Luo, Luxin Zhang, Yinan Zhao, Peter Vajda, Dimitris N. Metaxas, Licheng Yu |
| 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 | A Practical Stereo Depth System for Smart Glasses. | Jialiang Wang, Daniel Scharstein, Akash Bapat, Kevin Blackburn-Matzen, Matthew Yu, Jonathan Lehman, Suhib Alsisan, Yanghan Wang, Sam S. Tsai, Jan-Michael Frahm, Zijian He, Peter Vajda, Michael F. Cohen, Matt Uyttendaele |
| 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 | ICCV | NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection. | Chenfeng Xu, Bichen Wu, Ji Hou, Sam S. Tsai, Ruilong Li, Jialiang Wang, Wei Zhan, Zijian He, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka |
| 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 | Open-Set Semi-Supervised Object Detection. | Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira |
| 2022 | ECCV | INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors. | Chaojian Li, Bichen Wu, Albert Pumarola, Peizhao Zhang, Yingyan Lin, Peter Vajda |
| 2022 | ECCV | Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models. | Chenfeng Xu, Shijia Yang, Tomer Galanti, Bichen Wu, Xiangyu Yue, Bohan Zhai, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka |
| 2022 | ICLR | Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation. | Bichen Wu, Ruizhe Cheng, Peizhao Zhang, Tianren Gao, Joseph E. Gonzalez, Peter Vajda |
| 2021 | CVPR | Data-Efficient Language-Supervised Zero-Shot Learning With Self-Distillation. | Ruizhe Cheng, Bichen Wu, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez |
| 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 | Tackling the Ill-Posedness of Super-Resolution Through Adaptive Target Generation. | Younghyun Jo, Seoung Wug Oh, Peter Vajda, Seon Joo Kim |
| 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 | 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 |
| 2021 | ICLR | Unbiased Teacher for Semi-Supervised Object Detection. | Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda |
| 2021 | IROS | You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module. | Chenfeng Xu, Bohan Zhai, Bichen Wu, Tian Li, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka |
| 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 |
| 2020 | ECCV | Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild. | Alexander Grabner, Yaming Wang, Peizhao Zhang, Peihong Guo, Tong Xiao, Peter Vajda, Peter M. Roth, Vincent Lepetit |
| 2020 | ECCV | Deep Space-Time Video Upsampling Networks. | Jaeyeon Kang, Younghyun Jo, Seoung Wug Oh, Peter Vajda, Seon Joo Kim |
| 2020 | ECCV | Learning to Generate Grounded Visual Captions Without Localization Supervision. | Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira |
| 2020 | ECCV | SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation. | Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka |
| 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 |
| 2019 | HPCA | Machine Learning at Facebook: Understanding Inference at the Edge. | Carole-Jean Wu, David Brooks, Kevin Chen, Douglas Chen, Sy Choudhury, Marat Dukhan, Kim M. Hazelwood, Eldad Isaac, Yangqing Jia, Bill Jia, Tommer Leyvand, Hao Lu, Yang Lu, Lin Qiao, Brandon Reagen, Joe Spisak, Fei Sun, Andrew Tulloch, Peter Vajda, Xiaodong Wang, Yanghan Wang, Bram Wasti, Yiming Wu, Ran Xian, Sungjoo Yoo, Peizhao Zhang |
| 2019 | ICCV | Efficient Segmentation: Learning Downsampling Near Semantic Boundaries. | Dmitrii Marin, Zijian He, Peter Vajda, Priyam Chatterjee, Sam S. Tsai, Fei Yang, Yuri Boykov |
| 2018 | ECCV | Value-Aware Quantization for Training and Inference of Neural Networks. | Eunhyeok Park, Sungjoo Yoo, Peter Vajda |
| 2017 | ICLR | DSD: Dense-Sparse-Dense Training for Deep Neural Networks. | Song Han, Jeff Pool, Sharan Narang, Huizi Mao, Enhao Gong, Shijian Tang, Erich Elsen, Peter Vajda, Manohar Paluri, John Tran, Bryan Catanzaro, William J. Dally |
| 2009 | ISM | Analysis of the Limits of Graph-Based Object Duplicate Detection. | Peter Vajda, Lutz Goldmann, Touradj Ebrahimi |
| 2008 | ACIVS | Towards Fully Automatic Image Segmentation Evaluation. | Lutz Goldmann, Tomasz Adamek, Peter Vajda, Mustafa Karaman, Roland Mrzinger, Eric Galmar, Thomas Sikora, Noel E. O'Connor, Thien Ha-Minh, Touradj Ebrahimi, Peter Schallauer, Benoit Huet |