Peizhao Zhang

79 papers A* 21B 2C 1Journal 47Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Non-Markov Multi-Round Conversational Image Generation with History-Conditioned MLLMs.
CoRR
Haochen Zhang, Animesh Sinha, Felix Juefei-Xu, Haoyu Ma, Kunpeng Li, Zhipeng Fan, Meng Dong, Xiaoliang Dai, Tingbo Hou, Peizhao Zhang, Zecheng He
2026 J jnl
REFA: Real-time Egocentric Facial Animations for Virtual Reality.
CoRR
Qiang Zhang, Tong Xiao, Haroun Habeeb, Larissa Laich, Sofien Bouaziz, Patrick Snape, Wenjing Zhang, Matthew Cioffi, Peizhao Zhang, Pavel Pidlypenskyi, Winnie Lin, Luming Ma, Mengjiao Wang, Kunpeng Li, Chengjiang Long, Steven Song, Martin Prazák, Alexander Sjoholm, Ajinkya Deogade, Jaebong Lee, Julio Delgado Mangas, Amaury Aubel
2025 A* conf
LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity.
CVPR
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 A* conf
Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts.
CVPR
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 J jnl
Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts.
CoRR
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 J jnl
Populate-A-Scene: Affordance-Aware Human Video Generation.
CoRR
Mengyi Shan, Zecheng He, Haoyu Ma, Felix Juefei-Xu, Peizhao Zhang, Tingbo Hou, Ching-Yao Chuang
2025 J jnl
Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models.
CoRR
Xu Ma, Peize Sun, Haoyu Ma, Hao Tang, Chih-Yao Ma, Jialiang Wang, Kunpeng Li, Xiaoliang Dai, Yujun Shi, Xuan Ju, Yushi Hu, Artsiom Sanakoyeu, Felix Juefei-Xu, Ji Hou, Junjiao Tian, Tao Xu, Tingbo Hou, Yen-Cheng Liu, Zecheng He, Zijian He, Matt Feiszli, Peizhao Zhang, Peter Vajda, Sam S. Tsai, Yun Fu
2024 J jnl
An Analysis on Quantizing Diffusion Transformers.
CoRR
Yuewei Yang, Jialiang Wang, Xiaoliang Dai, Peizhao Zhang, Hongbo Zhang
2024 J jnl
An Investigation on Hardware-Aware Vision Transformer Scaling.
ACM Trans. Embed. Comput. Syst.
Chaojian Li, Kyungmin Kim, Bichen Wu, Peizhao Zhang, Hang Zhang, Xiaoliang Dai, Peter Vajda, Yingyan (Celine) Lin
2024 A* conf
Cache Me if You Can: Accelerating Diffusion Models through Block Caching.
CVPR
Felix Wimbauer, Bichen Wu, Edgar Schönfeld, Xiaoliang Dai, Ji Hou, Zijian He, Artsiom Sanakoyeu, Peizhao Zhang, Sam S. Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, Jialiang Wang
2024 A* conf
ControlRoom3D: Room Generation Using Semantic Proxy Rooms.
CVPR
Jonas Schult, Sam S. Tsai, Lukas Höllein, Bichen Wu, Jialiang Wang, Chih-Yao Ma, Kunpeng Li, Xiaofang Wang, Felix Wimbauer, Zijian He, Peizhao Zhang, Bastian Leibe, Peter Vajda, Ji Hou
2024 J jnl
DirectorLLM for Human-Centric Video Generation.
CoRR
Kunpeng Song, Tingbo Hou, Zecheng He, Haoyu Ma, Jialiang Wang, Animesh Sinha, Sam S. Tsai, Yaqiao Luo, Xiaoliang Dai, Li Chen, Xide Xia, Peizhao Zhang, Peter Vajda, Ahmed Elgammal, Felix Juefei-Xu
2024 A* conf
FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis.
CVPR
Feng Liang, Bichen Wu, Jialiang Wang, Licheng Yu, Kunpeng Li, Yinan Zhao, Ishan Misra, Jia-Bin Huang, Peizhao Zhang, Peter Vajda, Diana Marculescu
2024 J jnl
Imagine yourself: Tuning-Free Personalized Image Generation.
CoRR
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, Ning Zhang, Peizhao Zhang, Roshan Sumbaly, Peter Vajda, Animesh Sinha
2024 J jnl
LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity.
CoRR
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
2024 — conf
REFA: Real-time Egocentric Facial Animations for Virtual Reality.
CVPR Workshops
Qiang Zhang, Tong Xiao, Haroun Habeeb, Larissa Laich, Sofien Bouaziz, Patrick Snape, Wenjing Zhang, Matthew Cioffi, Peizhao Zhang, Pavel Pidlypenskyi, Winnie Lin, Luming Ma, Mengjiao Wang, Kunpeng Li, Chengjiang Long, Steven Song, Martin Prazák, Alexander Sjoholm, Ajinkya Deogade, Jaebong Lee, Julio Delgado Mangas, Amaury Aubel
2023 A* conf
Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence.
CVPR
Yonggan Fu, Yuecheng Li, Chenghui Li, Jason M. Saragih, Peizhao Zhang, Xiaoliang Dai, Yingyan Celine Lin
2023 J jnl
Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence.
CoRR
Yonggan Fu, Yuecheng Li, Chenghui Li, Jason M. Saragih, Peizhao Zhang, Xiaoliang Dai, Yingyan Lin
2023 J jnl
Cache Me if You Can: Accelerating Diffusion Models through Block Caching.
CoRR
Felix Wimbauer, Bichen Wu, Edgar Schönfeld, Xiaoliang Dai, Ji Hou, Zijian He, Artsiom Sanakoyeu, Peizhao Zhang, Sam S. Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, Jialiang Wang
2023 A* conf
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference.
CVPR
Haoran You, Yunyang Xiong, Xiaoliang Dai, Bichen Wu, Peizhao Zhang, Haoqi Fan, Peter Vajda, Yingyan Celine Lin
2023 J jnl
ControlRoom3D: Room Generation using Semantic Proxy Rooms.
CoRR
Jonas Schult, Sam S. Tsai, Lukas Höllein, Bichen Wu, Jialiang Wang, Chih-Yao Ma, Kunpeng Li, Xiaofang Wang, Felix Wimbauer, Zijian He, Peizhao Zhang, Bastian Leibe, Peter Vajda, Ji Hou
2023 A* conf
DIME-FM : DIstilling Multimodal and Efficient Foundation Models.
ICCV
Ximeng Sun, Pengchuan Zhang, Peizhao Zhang, Hardik Shah, Kate Saenko, Xide Xia
2023 J jnl
DIME-FM: DIstilling Multimodal and Efficient Foundation Models.
CoRR
Ximeng Sun, Pengchuan Zhang, Peizhao Zhang, Hardik Shah, Kate Saenko, Xide Xia
2023 J jnl
Efficient Quantization Strategies for Latent Diffusion Models.
CoRR
Yuewei Yang, Xiaoliang Dai, Jialiang Wang, Peizhao Zhang, Hongbo Zhang
2023 J jnl
Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack.
CoRR
Xiaoliang Dai, Ji Hou, Chih-Yao Ma, Sam S. Tsai, Jialiang Wang, Rui Wang, Peizhao Zhang, Simon Vandenhende, Xiaofang Wang, Abhimanyu Dubey, Matthew Yu, Abhishek Kadian, Filip Radenovic, Dhruv Mahajan, Kunpeng Li, Yue Zhao, Vladan Petrovic, Mitesh Kumar Singh, Simran Motwani, Yi Wen, Yiwen Song, Roshan Sumbaly, Vignesh Ramanathan, Zijian He, Peter Vajda, Devi Parikh
2023 J jnl
FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis.
CoRR
Feng Liang, Bichen Wu, Jialiang Wang, Licheng Yu, Kunpeng Li, Yinan Zhao, Ishan Misra, Jia-Bin Huang, Peizhao Zhang, Peter Vajda, Diana Marculescu
2023 A* conf
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.
CVPR
Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu
2023 J jnl
Pruning Compact ConvNets for Efficient Inference.
CoRR
Sayan Ghosh, Karthik Prasad, Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Graham Cormode, Peter Vajda
2023 A* conf
Token Merging: Your ViT But Faster.
ICLR
Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman
2023 — conf
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse.
MLSys
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, Liangzhen Lai, Ashish Sirasao, Tushar Krishna, Harshit Khaitan, Vikas Chandra, Vijay Janapa Reddi
2022 J jnl
3D-Aware Encoding for Style-based Neural Radiance Fields.
CoRR
Yu-Jhe Li, Tao Xu, Bichen Wu, Ningyuan Zheng, Xiaoliang Dai, Albert Pumarola, Peizhao Zhang, Peter Vajda, Kris Kitani
2022 J jnl
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference.
CoRR
Haoran You, Yunyang Xiong, Xiaoliang Dai, Bichen Wu, Peizhao Zhang, Haoqi Fan, Peter Vajda, Yingyan Lin
2022 A* conf
Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation.
ICLR
Bichen Wu, Ruizhe Cheng, Peizhao Zhang, Tianren Gao, Joseph E. Gonzalez, Peter Vajda
2022 — conf
Hydra Attention: Efficient Attention with Many Heads.
ECCV Workshops (7)
Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Judy Hoffman
2022 J jnl
Hydra Attention: Efficient Attention with Many Heads.
CoRR
Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Judy Hoffman
2022 — conf
INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors.
ECCV Workshops (3)
Chaojian Li, Bichen Wu, Albert Pumarola, Peizhao Zhang, Yingyan Lin, Peter Vajda
2022 J jnl
INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors.
CoRR
Chaojian Li, Bichen Wu, Albert Pumarola, Peizhao Zhang, Yingyan Lin, Peter Vajda
2022 J jnl
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.
CoRR
Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu
2022 J jnl
Token Merging: Your ViT But Faster.
CoRR
Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman
2022 A* conf
UmeTrack: Unified multi-view end-to-end hand tracking for VR.
SIGGRAPH Asia
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, Muzaffer Akbay, Tsz-Ho Yu, Cem Keskin, Robert Wang
2022 J jnl
UmeTrack: Unified multi-view end-to-end hand tracking for VR.
CoRR
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, Muzaffer Akbay, Tsz-Ho Yu, Cem Keskin, Robert Wang
2022 J jnl
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse.
CoRR
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, Liangzhen Lai, Ashish Sirasao, Tushar Krishna, Harshit Khaitan, Vikas Chandra, Vijay Janapa Reddi
2021 J jnl
Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation.
CoRR
Bichen Wu, Ruizhe Cheng, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez
2021 — conf
Data-Efficient Language-Supervised Zero-Shot Learning With Self-Distillation.
CVPR Workshops
Ruizhe Cheng, Bichen Wu, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez
2021 J jnl
Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation.
CoRR
Ruizhe Cheng, Bichen Wu, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez
2021 A* conf
FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining.
CVPR
Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez
2021 J jnl
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run.
CoRR
Bichen Wu, Chaojian Li, Hang Zhang, Xiaoliang Dai, Peizhao Zhang, Matthew Yu, Jialiang Wang, Yingyan Lin, Peter Vajda
2021 A* conf
FP-NAS: Fast Probabilistic Neural Architecture Search.
CVPR
Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli
2021 — conf
Low Bandwidth Video-Chat Compression Using Deep Generative Models.
CVPR Workshops
Maxime Oquab, Pierre Stock, Daniel Haziza, Tao Xu, Peizhao Zhang, Onur Celebi, Yana Hasson, Patrick Labatut, Bobo Bose-Kolanu, Thibault Peyronel, Camille Couprie
2021 — conf
Rethinking the Self-Attention in Vision Transformers.
CVPR Workshops
Kyungmin Kim, Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Zhicheng Yan, Peter Vajda, Seon Joo Kim
2021 A* conf
Unbiased Teacher for Semi-Supervised Object Detection.
ICLR
Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda
2021 J jnl
Unbiased Teacher for Semi-Supervised Object Detection.
CoRR
Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda
2021 A* conf
Visual Transformers: Where Do Transformers Really Belong in Vision Models?
ICCV
Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph Gonzalez, Kurt Keutzer, Peter Vajda
2020 A* conf
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions.
CVPR
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 J jnl
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions.
CoRR
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 J jnl
FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function.
CoRR
Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez
2020 J jnl
FBWave: Efficient and Scalable Neural Vocoders for Streaming Text-To-Speech on the Edge.
CoRR
Bichen Wu, Qing He, Peizhao Zhang, Thilo Köhler, Kurt Keutzer, Peter Vajda
2020 J jnl
FP-NAS: Fast Probabilistic Neural Architecture Search.
CoRR
Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli
2020 — conf
Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild.
ECCV (16)
Alexander Grabner, Yaming Wang, Peizhao Zhang, Peihong Guo, Tong Xiao, Peter Vajda, Peter M. Roth, Vincent Lepetit
2020 J jnl
Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild.
CoRR
Alexander Grabner, Yaming Wang, Peizhao Zhang, Peihong Guo, Tong Xiao, Peter Vajda, Peter M. Roth, Vincent Lepetit
2020 J jnl
Low Bandwidth Video-Chat Compression using Deep Generative Models.
CoRR
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
2020 J jnl
MEgATrack: monochrome egocentric articulated hand-tracking for virtual reality.
ACM Trans. Graph.
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, Yuting Ye, Lingling Tao, Chengde Wan, Robert Wang
2020 A* conf
MLPerf Inference Benchmark.
ISCA
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, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou
2020 J jnl
One Shot 3D Photography.
CoRR
Johannes Kopf, Kevin Matzen, Suhib Alsisan, Ocean Quigley, Francis Ge, Yangming Chong, Josh Patterson, Jan-Michael Frahm, Shu Wu, Matthew Yu, Peizhao Zhang, Zijian He, Peter Vajda, Ayush Saraf, Michael F. Cohen
2020 J jnl
One shot 3D photography.
ACM Trans. Graph.
Johannes Kopf, Kevin Matzen, Suhib Alsisan, Ocean Quigley, Francis Ge, Yangming Chong, Josh Patterson, Jan-Michael Frahm, Shu Wu, Matthew Yu, Peizhao Zhang, Zijian He, Peter Vajda, Ayush Saraf, Michael F. Cohen
2020 J jnl
Visual Transformers: Token-based Image Representation and Processing for Computer Vision.
CoRR
Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Masayoshi Tomizuka, Kurt Keutzer, Peter Vajda
2019 A* conf
ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation.
CVPR
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 A* conf
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search.
CVPR
Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer
2019 J jnl
MLPerf Inference Benchmark.
CoRR
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, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou
2019 A* conf
Machine Learning at Facebook: Understanding Inference at the Edge.
HPCA
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
2018 J jnl
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation.
CoRR
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
2018 J jnl
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search.
CoRR
Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer
2018 J jnl
Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search.
CoRR
Bichen Wu, Yanghan Wang, Peizhao Zhang, Yuandong Tian, Peter Vajda, Kurt Keutzer
2014 J jnl
Leveraging depth cameras and wearable pressure sensors for full-body kinematics and dynamics capture.
ACM Trans. Graph.
Peizhao Zhang, Kristin Siu, Jianjie Zhang, C. Karen Liu, Jinxiang Chai
2012 J jnl
Accurate realtime full-body motion capture using a single depth camera.
ACM Trans. Graph.
Xiaolin K. Wei, Peizhao Zhang, Jinxiang Chai
2011 J jnl
On Combining Fractional-Pixel Interpolation and Motion Estimation: A Cost-Effective Approach.
IEEE Trans. Circuits Syst. Video Technol.
Jiyuan Lu, Peizhao Zhang, Hongyang Chao, Paul S. Fisher
2010 B conf
A split and merge algorithm for inter-mode decision in extended macroblocks.
ICIP
Jiyuan Lu, Peizhao Zhang, Hongyang Chao
2010 B conf
An Integrated Algorithm for Fractional Pixel Interpolation and Motion Estimation of H.264.
DCC
Jiyuan Lu, Peizhao Zhang, Hongyang Chao, Paul S. Fisher
2010 C conf
Inter-mode decision with varied computational complexity.
VCIP
Jiyuan Lu, Peizhao Zhang, Hongyang Chao, Paul S. Fisher