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2020 – today
- 2023
[c24]Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu:
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP. CVPR 2023: 7061-7070- [c23]Haoran You, Yunyang Xiong, Xiaoliang Dai, Bichen Wu, Peizhao Zhang, Haoqi Fan, Peter Vajda, Yingyan Celine Lin:
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference. CVPR 2023: 14431-14442 - [c22]Yonggan Fu, Yuecheng Li, Chenghui Li, Jason M. Saragih, Peizhao Zhang, Xiaoliang Dai, Yingyan Celine Lin:
Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence. CVPR 2023: 21036-21045 - [c21]Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman:
Token Merging: Your ViT But Faster. ICLR 2023 - [i28]Sayan Ghosh, Karthik Prasad, Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Graham Cormode, Peter Vajda:
Pruning Compact ConvNets for Efficient Inference. CoRR abs/2301.04502 (2023) - [i27]Ximeng Sun, Pengchuan Zhang, Peizhao Zhang, Hardik Shah, Kate Saenko, Xide Xia:
DIME-FM: DIstilling Multimodal and Efficient Foundation Models. CoRR abs/2303.18232 (2023) - [i26]Yonggan Fu, Yuecheng Li, Chenghui Li, Jason M. Saragih, Peizhao Zhang, Xiaoliang Dai, Yingyan Lin:
Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence. CoRR abs/2304.11835 (2023) - [i25]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:
Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack. CoRR abs/2309.15807 (2023) - 2022
- [c20]Daniel Bolya, Cheng-Yang Fu
, Xiaoliang Dai, Peizhao Zhang, Judy Hoffman:
Hydra Attention: Efficient Attention with Many Heads. ECCV Workshops (7) 2022: 35-49 - [c19]Chaojian Li, Bichen Wu, Albert Pumarola, Peizhao Zhang, Yingyan Lin, Peter Vajda:
INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors. ECCV Workshops (3) 2022: 686-694 - [c18]Bichen Wu, Ruizhe Cheng, Peizhao Zhang, Tianren Gao, Joseph E. Gonzalez, Peter Vajda:
Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation. ICLR 2022 - [c17]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:
UmeTrack: Unified multi-view end-to-end hand tracking for VR. SIGGRAPH Asia 2022: 50:1-50:9 - [i24]Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Judy Hoffman:
Hydra Attention: Efficient Attention with Many Heads. CoRR abs/2209.07484 (2022) - [i23]Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu:
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP. CoRR abs/2210.04150 (2022) - [i22]Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman:
Token Merging: Your ViT But Faster. CoRR abs/2210.09461 (2022) - [i21]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:
UmeTrack: Unified multi-view end-to-end hand tracking for VR. CoRR abs/2211.00099 (2022) - [i20]Yu-Jhe Li, Tao Xu, Bichen Wu, Ningyuan Zheng, Xiaoliang Dai, Albert Pumarola, Peizhao Zhang, Peter Vajda, Kris Kitani:
3D-Aware Encoding for Style-based Neural Radiance Fields. CoRR abs/2211.06583 (2022) - [i19]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:
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse. CoRR abs/2211.08675 (2022) - [i18]Haoran You, Yunyang Xiong, Xiaoliang Dai, Bichen Wu, Peizhao Zhang, Haoqi Fan, Peter Vajda, Yingyan Lin:
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference. CoRR abs/2211.10526 (2022) - [i17]Chaojian Li, Bichen Wu, Albert Pumarola, Peizhao Zhang, Yingyan Lin, Peter Vajda:
INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors. CoRR abs/2212.01959 (2022) - 2021
- [c16]Maxime Oquab, Pierre Stock, 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. CVPR Workshops 2021: 2388-2397 - [c15]Kyungmin Kim, Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Zhicheng Yan, Peter Vajda, Seon Joo Kim:
Rethinking the Self-Attention in Vision Transformers. CVPR Workshops 2021: 3071-3075 - [c14]Ruizhe Cheng, Bichen Wu, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez:
Data-Efficient Language-Supervised Zero-Shot Learning With Self-Distillation. CVPR Workshops 2021: 3119-3124 - [c13]Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli:
FP-NAS: Fast Probabilistic Neural Architecture Search. CVPR 2021: 15139-15148 - [c12]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 Predictor Pretraining. CVPR 2021: 16276-16285 - [c11]Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph Gonzalez, Kurt Keutzer, Peter Vajda:
Visual Transformers: Where Do Transformers Really Belong in Vision Models? ICCV 2021: 579-589 - [c10]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. ICLR 2021 - [i16]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) - [i15]Ruizhe Cheng, Bichen Wu, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez:
Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation. CoRR abs/2104.08945 (2021) - [i14]Bichen Wu, Chaojian Li, Hang Zhang, Xiaoliang Dai, Peizhao Zhang, Matthew Yu, Jialiang Wang, Yingyan Lin, Peter Vajda:
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run. CoRR abs/2111.10007 (2021) - [i13]Bichen Wu, Ruizhe Cheng, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez:
Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation. CoRR abs/2112.09445 (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
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last updated on 2023-11-13 23:23 CET by the dblp team
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