Bichen Wu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
11
Active years
2013–2024
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CVPR | VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence. | Yuchao Gu, Yipin Zhou, Bichen Wu, Licheng Yu, Jia-Wei Liu, Rui Zhao, Jay Zhangjie Wu, David Junhao Zhang, Mike Zheng Shou, Kevin Tang |
| 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 | MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers. | Haoyu Ma, Shahin Mahdizadehaghdam, Bichen Wu, Zhipeng Fan, Yuchao Gu, Wenliang Zhao, Lior Shapira, Xiaohui Xie |
| 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 | 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 | 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 | AAAI | ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation. | Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer |
| 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 | 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 | FPGA | CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs. | Qijing Huang, Dequan Wang, Zhen Dong, Yizhao Gao, Yaohui Cai, Tian Li, Bichen Wu, Kurt Keutzer, John Wawrzynek |
| 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 | 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 | FPGA | Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs. | Yifan Yang, Qijing Huang, Bichen Wu, Tianjun Zhang, Liang Ma, Giulio Gambardella, Michaela Blott, Luciano Lavagno, Kees A. Vissers, John Wawrzynek, Kurt Keutzer |
| 2019 | ICRA | SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud. | Bichen Wu, Xuanyu Zhou, Sicheng Zhao, Xiangyu Yue, Kurt Keutzer |
| 2018 | CVPR | SqueezeNext: Hardware-Aware Neural Network Design. | Amir Gholami, Kiseok Kwon, Bichen Wu, Zizheng Tai, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Kurt Keutzer |
| 2018 | CVPR | Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions. | Bichen Wu, Alvin Wan, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer |
| 2018 | DAC | Co-design of deep neural nets and neural net accelerators for embedded vision applications. | Kiseok Kwon, Alon Amid, Amir Gholami, Bichen Wu, Krste Asanovic, Kurt Keutzer |
| 2018 | ICRA | SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud. | Bichen Wu, Alvin Wan, Xiangyu Yue, Kurt Keutzer |
| 2017 | CVPR | SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving. | Bichen Wu, Forrest N. Iandola, Peter H. Jin, Kurt Keutzer |
| 2017 | VEHITS | Shallow Networks for High-accuracy Road Object-detection. | Khalid Ashraf, Bichen Wu, Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer |
| 2015 | ICSE | Poster: MAPP: The Berkeley Model and Algorithm Prototyping Platform. | Tianshi Wang, Aadithya V. Karthik, Bichen Wu, Jaijeet Roychowdhury |
| 2013 | DAC | Time-domain segmentation based massively parallel simulation for ADCs. | Zuochang Ye, Bichen Wu, Song Han, Yang Li |