An Integrated Algorithm for Fractional Pixel Interpolation and Motion Estimation of H.264. - Jiyuan Lu; Peizhao Zhang; Hongyang Chao; Paul S. Fisher (DCC, 2010)

A split and merge algorithm for inter-mode decision in extended macroblocks. - Jiyuan Lu; Peizhao Zhang; Hongyang Chao (ICIP, 2010)

Inter-mode decision with varied computational complexity. - Jiyuan Lu; Peizhao Zhang; Hongyang Chao; Paul S. Fisher (VCIP, 2010)

On Combining Fractional-Pixel Interpolation and Motion Estimation: A Cost-Effective Approach. - Jiyuan Lu; Peizhao Zhang; Hongyang Chao; Paul S. Fisher (IEEE Trans. Circuits Syst. Video Technol., 2011)

Accurate realtime full-body motion capture using a single depth camera. - Xiaolin K. Wei; Peizhao Zhang; Jinxiang Chai (ACM Trans. Graph., 2012)

Leveraging depth cameras and wearable pressure sensors for full-body kinematics and dynamics capture. - Peizhao Zhang; Kristin Siu; Jianjie Zhang; C. Karen Liu; Jinxiang Chai (ACM Trans. Graph., 2014)

Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search. - Bichen Wu; Yanghan Wang; Peizhao Zhang; Yuandong Tian; Peter Vajda; Kurt Keutzer (CoRR, 2018)

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; et al. (CVPR, 2019)

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 (CVPR, 2019)

Machine Learning at Facebook: Understanding Inference at the Edge. - Carole-Jean Wu; David Brooks 001; Kevin Chen; Douglas Chen; Sy Choudhury; Marat Dukhan; Kim M. Hazelwood; Eldad Isaac; Yangqing Jia; Bill Jia; Tommer Leyvand; Hao Lu; et al. (HPCA, 2019)

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 (CVPR, 2020)

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 (ECCV (16), 2020)

MLPerf Inference Benchmark. - Vijay Janapa Reddi; Christine Cheng; David Kanter; Peter Mattson; Guenther Schmuelling; Carole-Jean Wu; Brian Anderson; Maximilien Breughe; Mark Charlebois; William Chou; Ramesh Chukka; Cody Coleman; et al. (ISCA, 2020)

FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function. - Xiaoliang Dai; Alvin Wan; Peizhao Zhang; Bichen Wu; Zijian He; Zhen Wei; Kan Chen; Yuandong Tian; Matthew Yu; Peter Vajda; Joseph E. Gonzalez (CoRR, 2020)

Visual Transformers: Token-based Image Representation and Processing for Computer Vision. - Bichen Wu; Chenfeng Xu; Xiaoliang Dai; Alvin Wan; Peizhao Zhang; Masayoshi Tomizuka; Kurt Keutzer; Peter Vajda (CoRR, 2020)

FBWave: Efficient and Scalable Neural Vocoders for Streaming Text-To-Speech on the Edge. - Bichen Wu; Qing He; Peizhao Zhang; Thilo Köhler; Kurt Keutzer; Peter Vajda (CoRR, 2020)

Low Bandwidth Video-Chat Compression using Deep Generative Models. - Maxime Oquab; Pierre Stock; Oran Gafni; Daniel Haziza; Tao Xu; Peizhao Zhang; Onur Celebi; Yana Hasson; Patrick Labatut; Bobo Bose-Kolanu; Thibault Peyronel; Camille Couprie (CoRR, 2020)

MEgATrack: monochrome egocentric articulated hand-tracking for virtual reality. - Shangchen Han; Beibei Liu; Randi Cabezas; Christopher D. Twigg; Peizhao Zhang; Jeff Petkau; Tsz-Ho Yu; Chun-Jung Tai; Muzaffer Akbay; Zheng Wang; Asaf Nitzan; Gang Dong; et al. (ACM Trans. Graph., 2020)

One shot 3D photography. - Johannes Kopf 001; Kevin Matzen; Suhib Alsisan; Ocean Quigley; Francis Ge; Yangming Chong; Josh Patterson; Jan-Michael Frahm; Shu Wu; Matthew Yu; Peizhao Zhang; Zijian He; et al. (ACM Trans. Graph., 2020)

Data-Efficient Language-Supervised Zero-Shot Learning With Self-Distillation. - Ruizhe Cheng; Bichen Wu; Peizhao Zhang; Peter Vajda; Joseph E. Gonzalez (CVPR Workshops, 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)

Rethinking the Self-Attention in Vision Transformers. - Kyungmin Kim 002; Bichen Wu; Xiaoliang Dai; Peizhao Zhang; Zhicheng Yan 001; Peter Vajda; Seon Joo Kim (CVPR Workshops, 2021)

Low Bandwidth Video-Chat Compression Using Deep Generative Models. - Maxime Oquab; Pierre Stock; Daniel Haziza; Tao Xu; Peizhao Zhang; Onur Celebi; Yana Hasson; Patrick Labatut; Bobo Bose-Kolanu; Thibault Peyronel; Camille Couprie (CVPR Workshops, 2021)

FP-NAS: Fast Probabilistic Neural Architecture Search. - Zhicheng Yan 001; Xiaoliang Dai; Peizhao Zhang; Yuandong Tian; Bichen Wu; Matt Feiszli (CVPR, 2021)

Visual Transformers: Where Do Transformers Really Belong in Vision Models? - Bichen Wu; Chenfeng Xu; Xiaoliang Dai; Alvin Wan; Peizhao Zhang; Zhicheng Yan 001; Masayoshi Tomizuka; Joseph Gonzalez 001; Kurt Keutzer; Peter Vajda (ICCV, 2021)

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 (ICLR, 2021)

FBNetV5: Neural Architecture Search for Multiple Tasks in One Run. - Bichen Wu; Chaojian Li; Hang Zhang 005; Xiaoliang Dai; Peizhao Zhang; Matthew Yu; Jialiang Wang 001; Yingyan Lin; Peter Vajda (CoRR, 2021)

Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation. - Bichen Wu; Ruizhe Cheng; Peizhao Zhang; Peter Vajda; Joseph E. Gonzalez (CoRR, 2021)

Hydra Attention: Efficient Attention with Many Heads. - Daniel Bolya; Cheng-Yang Fu; Xiaoliang Dai; Peizhao Zhang; Judy Hoffman (ECCV Workshops (7), 2022)

INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors. - Chaojian Li; Bichen Wu; Albert Pumarola; Peizhao Zhang; Yingyan Lin; Peter Vajda (ECCV Workshops (3), 2022)

Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation. - Bichen Wu; Ruizhe Cheng; Peizhao Zhang; Tianren Gao; Joseph E. Gonzalez; Peter Vajda (ICLR, 2022)

UmeTrack: Unified multi-view end-to-end hand tracking for VR. - Shangchen Han; Po-Chen Wu; Yubo Zhang; Beibei Liu; Linguang Zhang; Zheng Wang; Weiguang Si; Peizhao Zhang; Yujun Cai; Tomas Hodan; Randi Cabezas; Luan Tran; et al. (SIGGRAPH Asia, 2022)

3D-Aware Encoding for Style-based Neural Radiance Fields. - Yu-Jhe Li; Tao Xu; Bichen Wu; Ningyuan Zheng; Xiaoliang Dai; Albert Pumarola; Peizhao Zhang; Peter Vajda; Kris Kitani (CoRR, 2022)

Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference. - Haoran You; Yunyang Xiong; Xiaoliang Dai; Bichen Wu; Peizhao Zhang; Haoqi Fan 001; Peter Vajda; Yingyan Lin (CoRR, 2022)

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 (CVPR, 2023)

Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP. - Feng Liang; Bichen Wu; Xiaoliang Dai; Kunpeng Li; Yinan Zhao; Hang Zhang 005; Peizhao Zhang; Peter Vajda; Diana Marculescu (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 001; Peter Vajda; Yingyan Celine Lin (CVPR, 2023)

DIME-FM : DIstilling Multimodal and Efficient Foundation Models. - Ximeng Sun; Pengchuan Zhang; Peizhao Zhang; Hardik Shah; Kate Saenko; Xide Xia (ICCV, 2023)

Token Merging: Your ViT But Faster. - Daniel Bolya; Cheng-Yang Fu; Xiaoliang Dai; Peizhao Zhang; Christoph Feichtenhofer; Judy Hoffman (ICLR, 2023)

XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse. - Hyoukjun Kwon; Krishnakumar Nair; Jamin Seo; Jason Yik; Debabrata Mohapatra; Dongyuan Zhan; Jinook Song; Peter Capak; Peizhao Zhang; Peter Vajda; Colby R. Banbury; Mark Mazumder; et al. (MLSys, 2023)

Pruning Compact ConvNets for Efficient Inference. - Sayan Ghosh; Karthik Prasad; Xiaoliang Dai; Peizhao Zhang; Bichen Wu; Graham Cormode; Peter Vajda (CoRR, 2023)

Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack. - Xiaoliang Dai; Ji Hou; Chih-Yao Ma; Sam S. Tsai; Jialiang Wang 001; Rui Wang 067; Peizhao Zhang; Simon Vandenhende; Xiaofang Wang; Abhimanyu Dubey; Matthew Yu; Abhishek Kadian; et al. (CoRR, 2023)

Efficient Quantization Strategies for Latent Diffusion Models. - Yuewei Yang; Xiaoliang Dai; Jialiang Wang 001; Peizhao Zhang; Hongbo Zhang (CoRR, 2023)

FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis. - Feng Liang; Bichen Wu; Jialiang Wang 001; Licheng Yu; Kunpeng Li; Yinan Zhao; Ishan Misra; Jia-Bin Huang; Peizhao Zhang; Peter Vajda; Diana Marculescu (CVPR, 2024)

ControlRoom3D: Room Generation Using Semantic Proxy Rooms. - Jonas Schult; Sam S. Tsai; Lukas Höllein; Bichen Wu; Jialiang Wang 001; Chih-Yao Ma; Kunpeng Li; Xiaofang Wang; Felix Wimbauer; Zijian He; Peizhao Zhang; Bastian Leibe; et al. (CVPR, 2024)

Cache Me if You Can: Accelerating Diffusion Models through Block Caching. - Felix Wimbauer; Bichen Wu; Edgar Schönfeld; Xiaoliang Dai; Ji Hou; Zijian He; Artsiom Sanakoyeu; Peizhao Zhang; Sam S. Tsai; Jonas Kohler; Christian Rupprecht 001; Daniel Cremers; et al. (CVPR, 2024)

REFA: Real-time Egocentric Facial Animations for Virtual Reality. - Qiang Zhang 008; Tong Xiao; Haroun Habeeb; Larissa Laich; Sofien Bouaziz; Patrick Snape; Wenjing Zhang; Matthew Cioffi; Peizhao Zhang; Pavel Pidlypenskyi; Winnie Lin; Luming Ma; et al. (CVPR Workshops, 2024)

An Analysis on Quantizing Diffusion Transformers. - Yuewei Yang; Jialiang Wang 001; Xiaoliang Dai; Peizhao Zhang; Hongbo Zhang (CoRR, 2024)

Imagine yourself: Tuning-Free Personalized Image Generation. - Zecheng He; Bo Sun; Felix Juefei-Xu; Haoyu Ma; Ankit Ramchandani; Vincent Cheung; Siddharth Shah; Anmol Kalia; Harihar Subramanyam; Alireza Zareian; Li Chen; Ankit Jain; et al. (CoRR, 2024)

Movie Gen: A Cast of Media Foundation Models. - Adam Polyak; Amit Zohar; Andrew Brown; Andros Tjandra; Animesh Sinha; Ann Lee 001; Apoorv Vyas; Bowen Shi; Chih-Yao Ma; Ching-Yao Chuang; David Yan; Dhruv Choudhary; et al. (CoRR, 2024)

DirectorLLM for Human-Centric Video Generation. - Kunpeng Song; Tingbo Hou; Zecheng He; Haoyu Ma; Jialiang Wang 001; Animesh Sinha; Sam S. Tsai; Yaqiao Luo; Xiaoliang Dai; Li Chen; Xide Xia; Peizhao Zhang; et al. (CoRR, 2024)

An Investigation on Hardware-Aware Vision Transformer Scaling. - Chaojian Li; Kyungmin Kim 002; Bichen Wu; Peizhao Zhang; Hang Zhang 005; Xiaoliang Dai; Peter Vajda; Yingyan (Celine) Lin (ACM Trans. Embed. Comput. Syst., 2024)

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity. - Hongjie Wang 002; Chih-Yao Ma; Yen-Cheng Liu; Ji Hou; Tao Xu; Jialiang Wang 001; Felix Juefei-Xu; Yaqiao Luo; Peizhao Zhang; Tingbo Hou; Peter Vajda; Niraj K. Jha; et al. (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; et al. (CVPR, 2025)

Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models. - Xu Ma; Peize Sun; Haoyu Ma; Hao Tang; Chih-Yao Ma; Jialiang Wang 001; Kunpeng Li; Xiaoliang Dai; Yujun Shi; Xuan Ju; Yushi Hu; Artsiom Sanakoyeu; et al. (CoRR, 2025)

Populate-A-Scene: Affordance-Aware Human Video Generation. - Mengyi Shan; Zecheng He; Haoyu Ma; Felix Juefei-Xu; Peizhao Zhang; Tingbo Hou; Ching-Yao Chuang (CoRR, 2025)