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2020 – today
- 2021
[i13]Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda:
Unbiased Teacher for Semi-Supervised Object Detection. CoRR abs/2102.09480 (2021)- 2020
- [j5]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:
One shot 3D photography. ACM Trans. Graph. 39(4): 76 (2020) - [j4]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:
MEgATrack: monochrome egocentric articulated hand-tracking for virtual reality. ACM Trans. Graph. 39(4): 87 (2020) - [c9]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:
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions. CVPR 2020: 12962-12971 - [c8]Alexander Grabner, Yaming Wang, Peizhao Zhang, Peihong Guo, Tong Xiao, Peter Vajda, Peter M. Roth, Vincent Lepetit:
Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild. ECCV (16) 2020: 102-119 - [c7]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:
MLPerf Inference Benchmark. ISCA 2020: 446-459 - [i12]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:
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions. CoRR abs/2004.05565 (2020) - [i11]Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez:
FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function. CoRR abs/2006.02049 (2020) - [i10]Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Masayoshi Tomizuka, Kurt Keutzer, Peter Vajda:
Visual Transformers: Token-based Image Representation and Processing for Computer Vision. CoRR abs/2006.03677 (2020) - [i9]Alexander Grabner, Yaming Wang, Peizhao Zhang, Peihong Guo, Tong Xiao, Peter Vajda, Peter M. Roth, Vincent Lepetit:
Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild. CoRR abs/2007.08939 (2020) - [i8]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:
One Shot 3D Photography. CoRR abs/2008.12298 (2020) - [i7]Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli:
FP-NAS: Fast Probabilistic Neural Architecture Search. CoRR abs/2011.10949 (2020) - [i6]Bichen Wu, Qing He, Peizhao Zhang, Thilo Köhler, Kurt Keutzer, Peter Vajda:
FBWave: Efficient and Scalable Neural Vocoders for Streaming Text-To-Speech on the Edge. CoRR abs/2011.12985 (2020) - [i5]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:
Low Bandwidth Video-Chat Compression using Deep Generative Models. CoRR abs/2012.00328 (2020)
2010 – 2019
- 2019
- [c6]Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer:
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search. CVPR 2019: 10734-10742 - [c5]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:
ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation. CVPR 2019: 11398-11407 - [c4]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:
Machine Learning at Facebook: Understanding Inference at the Edge. HPCA 2019: 331-344 - [i4]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:
MLPerf Inference Benchmark. CoRR abs/1911.02549 (2019) - 2018
- [i3]Bichen Wu, Yanghan Wang, Peizhao Zhang, Yuandong Tian, Peter Vajda, Kurt Keutzer:
Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search. CoRR abs/1812.00090 (2018) - [i2]Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer:
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search. CoRR abs/1812.03443 (2018) - [i1]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:
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation. CoRR abs/1812.08934 (2018) - 2014
- [j3]Peizhao Zhang, Kristin Siu, Jianjie Zhang, C. Karen Liu, Jinxiang Chai:
Leveraging depth cameras and wearable pressure sensors for full-body kinematics and dynamics capture. ACM Trans. Graph. 33(6): 221:1-221:14 (2014) - 2012
- [j2]Xiaolin K. Wei, Peizhao Zhang, Jinxiang Chai:
Accurate realtime full-body motion capture using a single depth camera. ACM Trans. Graph. 31(6): 188:1-188:12 (2012) - 2011
- [j1]Jiyuan Lu, Peizhao Zhang, Hongyang Chao, Paul S. Fisher:
On Combining Fractional-Pixel Interpolation and Motion Estimation: A Cost-Effective Approach. IEEE Trans. Circuits Syst. Video Technol. 21(6): 717-728 (2011) - 2010
- [c3]Jiyuan Lu, Peizhao Zhang, Hongyang Chao, Paul S. Fisher:
An Integrated Algorithm for Fractional Pixel Interpolation and Motion Estimation of H.264. DCC 2010: 541 - [c2]Jiyuan Lu, Peizhao Zhang, Hongyang Chao:
A split and merge algorithm for inter-mode decision in extended macroblocks. ICIP 2010: 2081-2084 - [c1]Jiyuan Lu, Peizhao Zhang, Hongyang Chao, Paul S. Fisher:
Inter-mode decision with varied computational complexity. VCIP 2010: 77442I
Coauthor Index
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