![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
Bichen Wu
Person information
Refine list
![note](https://dblp.org/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j3]Chaojian Li
, Kyungmin Kim
, Bichen Wu
, Peizhao Zhang
, Hang Zhang
, Xiaoliang Dai
, Peter Vajda
, Yingyan (Celine) Lin
:
An Investigation on Hardware-Aware Vision Transformer Scaling. ACM Trans. Embed. Comput. Syst. 23(3): 52:1-52:19 (2024) - [c36]Chaojian Li, Bichen Wu, Peter Vajda, Yingyan Lin:
MixRT: Mixed Neural Representations For Real-Time NeRF Rendering. 3DV 2024: 1115-1124 - 2023
- [c35]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 - [c34]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 - [c33]Chenfeng Xu, Bichen Wu, Ji Hou, Sam S. Tsai, Ruilong Li, Jialiang Wang, Wei Zhan, Zijian He, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection. ICCV 2023: 23263-23273 - [i51]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) - [i50]Chenfeng Xu, Bichen Wu, Ji Hou, Sam S. Tsai, Ruilong Li, Jialiang Wang, Wei Zhan, Zijian He, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection. CoRR abs/2307.14620 (2023) - [i49]Yuchao Gu, Yipin Zhou, Bichen Wu, Licheng Yu, Jia-Wei Liu, Rui Zhao, Jay Zhangjie Wu, David Junhao Zhang, Mike Zheng Shou, Kevin Tang:
VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence. CoRR abs/2312.02087 (2023) - [i48]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:
Cache Me if You Can: Accelerating Diffusion Models through Block Caching. CoRR abs/2312.03209 (2023) - [i47]Zhixing Zhang, Bichen Wu, Xiaoyan Wang, Yaqiao Luo, Luxin Zhang, Yinan Zhao, Peter Vajda, Dimitris N. Metaxas, Licheng Yu:
AVID: Any-Length Video Inpainting with Diffusion Model. CoRR abs/2312.03816 (2023) - [i46]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:
ControlRoom3D: Room Generation using Semantic Proxy Rooms. CoRR abs/2312.05208 (2023) - [i45]Chaojian Li, Bichen Wu, Peter Vajda, Yingyan Lin:
MixRT: Mixed Neural Representations For Real-Time NeRF Rendering. CoRR abs/2312.11841 (2023) - [i44]Haoyu Ma, Shahin Mahdizadehaghdam, Bichen Wu, Zhipeng Fan, Yuchao Gu, Wenliang Zhao, Lior Shapira, Xiaohui Xie:
MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers. CoRR abs/2312.12468 (2023) - [i43]Bichen Wu, Ching-Yao Chuang, Xiaoyan Wang, Yichen Jia, Kapil Krishnakumar, Tong Xiao, Feng Liang, Licheng Yu, Peter Vajda:
Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis. CoRR abs/2312.13834 (2023) - [i42]Feng Liang, Bichen Wu, Jialiang Wang, Licheng Yu, Kunpeng Li, Yinan Zhao, Ishan Misra, Jia-Bin Huang, Peizhao Zhang, Peter Vajda, Diana Marculescu:
FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis. CoRR abs/2312.17681 (2023) - 2022
- [j2]Sicheng Zhao
, Xiangyu Yue
, Shanghang Zhang
, Bo Li, Han Zhao
, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez
, Alberto L. Sangiovanni-Vincentelli
, Sanjit A. Seshia, Kurt Keutzer
:
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 33(2): 473-493 (2022) - [c32]Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Peter Vajda:
Cross-Domain Adaptive Teacher for Object Detection. CVPR 2022: 7571-7580 - [c31]Chenfeng Xu
, Shijia Yang
, Tomer Galanti, Bichen Wu, Xiangyu Yue, Bohan Zhai, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models. ECCV (37) 2022: 638-656 - [c30]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 - [c29]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 - [i41]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) - [i40]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) - [i39]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) - [i38]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
- [c28]Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer:
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation. AAAI 2021: 3500-3509 - [c27]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 - [c26]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 - [c25]Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli:
FP-NAS: Fast Probabilistic Neural Architecture Search. CVPR 2021: 15139-15148 - [c24]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 - [c23]Qijing Huang
, Dequan Wang, Zhen Dong, Yizhao Gao
, Yaohui Cai, Tian Li, Bichen Wu, Kurt Keutzer, John Wawrzynek:
CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs. FPGA 2021: 206-216 - [c22]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 - [c21]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 - [c20]Chenfeng Xu, Bohan Zhai, Bichen Wu, Tian Li, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module. IROS 2021: 4589-4596 - [i37]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) - [i36]Bernie Wang, Simon Xu, Kurt Keutzer, Yang Gao, Bichen Wu:
Improving Context-Based Meta-Reinforcement Learning with Self-Supervised Trajectory Contrastive Learning. CoRR abs/2103.06386 (2021) - [i35]Chenfeng Xu, Bohan Zhai, Bichen Wu, Tian Li, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module. CoRR abs/2103.09975 (2021) - [i34]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) - [i33]Chenfeng Xu, Shijia Yang, Bohan Zhai, Bichen Wu, Xiangyu Yue, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
Image2Point: 3D Point-Cloud Understanding with Pretrained 2D ConvNets. CoRR abs/2106.04180 (2021) - [i32]Ravi Krishna, Aravind Kalaiah, Bichen Wu, Maxim Naumov, Dheevatsa Mudigere, Misha Smelyanskiy, Kurt Keutzer:
Differentiable NAS Framework and Application to Ads CTR Prediction. CoRR abs/2110.14812 (2021) - [i31]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) - [i30]Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Peter Vajda:
Cross-Domain Object Detection via Adaptive Self-Training. CoRR abs/2111.13216 (2021) - [i29]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) - [i28]Ajinkya Tejankar, Maziar Sanjabi, Bichen Wu, Saining Xie, Madian Khabsa, Hamed Pirsiavash, Hamed Firooz:
A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision. CoRR abs/2112.13884 (2021) - 2020
- [c19]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 - [c18]Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation. ECCV (28) 2020: 1-19 - [i27]Bohan Zhai, Tianren Gao, Flora Xue, Daniel Rothchild, Bichen Wu, Joseph E. Gonzalez, Kurt Keutzer:
SqueezeWave: Extremely Lightweight Vocoders for On-device Speech Synthesis. CoRR abs/2001.05685 (2020) - [i26]Qijing Huang, Dequan Wang, Yizhao Gao, Yaohui Cai, Zhen Dong, Bichen Wu, Kurt Keutzer, John Wawrzynek:
Algorithm-hardware Co-design for Deformable Convolution. CoRR abs/2002.08357 (2020) - [i25]Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation. CoRR abs/2004.01803 (2020) - [i24]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) - [i23]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) - [i22]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) - [i21]Zhen Dong, Dequan Wang, Qijing Huang, Yizhao Gao, Yaohui Cai, Bichen Wu, Kurt Keutzer, John Wawrzynek:
CoDeNet: Algorithm-hardware Co-design for Deformable Convolution. CoRR abs/2006.08357 (2020) - [i20]Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer:
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. CoRR abs/2009.00155 (2020) - [i19]Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer:
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation. CoRR abs/2009.03456 (2020) - [i18]Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli:
FP-NAS: Fast Probabilistic Neural Architecture Search. CoRR abs/2011.10949 (2020) - [i17]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)
2010 – 2019
- 2019
- [j1]Alon Amid
, Kiseok Kwon
, Amir Gholami, Bichen Wu, Krste Asanovic, Kurt Keutzer
:
Co-design of deep neural nets and neural net accelerators for embedded vision applications. IBM J. Res. Dev. 63(6): 6:1-6:14 (2019) - [c17]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 - [c16]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 - [c15]Yifan Yang, Qijing Huang
, Bichen Wu, Tianjun Zhang, Liang Ma
, Giulio Gambardella, Michaela Blott, Luciano Lavagno, Kees A. Vissers, John Wawrzynek, Kurt Keutzer:
Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs. FPGA 2019: 23-32 - [c14]Bichen Wu, Xuanyu Zhou, Sicheng Zhao, Xiangyu Yue, Kurt Keutzer:
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud. ICRA 2019: 4376-4382 - [c13]Bernie Wang, Virginia Wu, Bichen Wu, Kurt Keutzer:
LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking. ITSC 2019: 265-272 - [c12]Qijing Huang, Dequan Wang, Yizhao Gao, Yaohui Cai
, Zhen Dong, Bichen Wu, Kurt Keutzer, John Wawrzynek:
Algorithm-hardware Co-design for Deformable Convolution. EMC2@NeurIPS 2019: 48-51 - [i16]Bernie Wang, Virginia Wu, Bichen Wu, Kurt Keutzer:
LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking. CoRR abs/1904.09085 (2019) - [i15]Bichen Wu:
Efficient Deep Neural Networks. CoRR abs/1908.08926 (2019) - [i14]Tianyuan Zhang, Bichen Wu, Xin Wang, Joseph Gonzalez, Kurt Keutzer:
Domain-Aware Dynamic Networks. CoRR abs/1911.13237 (2019) - 2018
- [c11]Amir Gholami, Kiseok Kwon, Bichen Wu, Zizheng Tai, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Kurt Keutzer:
SqueezeNext: Hardware-Aware Neural Network Design. CVPR Workshops 2018: 1638-1647 - [c10]Bichen Wu, Alvin Wan
, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez
, Kurt Keutzer:
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions. CVPR 2018: 9127-9135 - [c9]Kiseok Kwon, Alon Amid
, Amir Gholami, Bichen Wu, Krste Asanovic, Kurt Keutzer:
Co-design of deep neural nets and neural net accelerators for embedded vision applications. DAC 2018: 148:1-148:6 - [c8]Bichen Wu, Alvin Wan
, Xiangyu Yue, Kurt Keutzer:
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud. ICRA 2018: 1887-1893 - [c7]Xiangyu Yue, Bichen Wu, Sanjit A. Seshia, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving. ICMR 2018: 458-464 - [i13]Sicheng Zhao, Bichen Wu, Joseph Gonzalez, Sanjit A. Seshia, Kurt Keutzer:
Unsupervised Domain Adaptation: from Simulation Engine to the RealWorld. CoRR abs/1803.09180 (2018) - [i12]Amir Gholami, Kiseok Kwon, Bichen Wu, Zizheng Tai, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Kurt Keutzer:
SqueezeNext: Hardware-Aware Neural Network Design. CoRR abs/1803.10615 (2018) - [i11]Xiangyu Yue, Bichen Wu, Sanjit A. Seshia, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving. CoRR abs/1804.00103 (2018) - [i10]Kiseok Kwon, Alon Amid, Amir Gholami, Bichen Wu, Krste Asanovic, Kurt Keutzer:
Co-Design of Deep Neural Nets and Neural Net Accelerators for Embedded Vision Applications. CoRR abs/1804.10642 (2018) - [i9]Bichen Wu, Xuanyu Zhou, Sicheng Zhao, Xiangyu Yue, Kurt Keutzer:
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud. CoRR abs/1809.08495 (2018) - [i8]Yifan Yang, Qijing Huang, Bichen Wu, Tianjun Zhang, Liang Ma, Giulio Gambardella, Michaela Blott, Luciano Lavagno, Kees A. Vissers, John Wawrzynek, Kurt Keutzer:
Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs. CoRR abs/1811.08634 (2018) - [i7]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) - [i6]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) - [i5]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) - 2017
- [c6]Bichen Wu, Forrest N. Iandola, Peter H. Jin, Kurt Keutzer:
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving. CVPR Workshops 2017: 446-454 - [c5]Khalid Ashraf, Bichen Wu, Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer:
Shallow Networks for High-accuracy Road Object-detection. VEHITS 2017: 33-40 - [i4]Bichen Wu, Alvin Wan, Xiangyu Yue, Kurt Keutzer:
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud. CoRR abs/1710.07368 (2017) - [i3]Bichen Wu, Alvin Wan, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer:
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions. CoRR abs/1711.08141 (2017) - 2016
- [i2]Khalid Ashraf, Bichen Wu, Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer:
Shallow Networks for High-Accuracy Road Object-Detection. CoRR abs/1606.01561 (2016) - [i1]Bichen Wu, Forrest N. Iandola, Peter H. Jin, Kurt Keutzer:
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving. CoRR abs/1612.01051 (2016) - 2015
- [c4]Tianshi Wang, Aadithya V. Karthik, Bichen Wu, Jian Yao, Jaijeet Roychowdhury:
MAPP: The Berkeley Model and Algorithm Prototyping Platform. CICC 2015: 1-8 - [c3]Tianshi Wang, Aadithya V. Karthik, Bichen Wu, Jaijeet Roychowdhury:
Poster: MAPP: The Berkeley Model and Algorithm Prototyping Platform. ICSE (2) 2015: 825-826 - 2014
- [c2]Bichen Wu, Jaijeet Roychowdhury:
Efficient per-element distortion contribution analysis via Harmonic Balance adjoints. CICC 2014: 1-4 - 2013
- [c1]Zuochang Ye, Bichen Wu, Song Han, Yang Li:
Time-domain segmentation based massively parallel simulation for ADCs. DAC 2013: 139:1-139:6
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-15 23:47 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint