BoRui Wu

8.1k citations

42 papers · 2.8k indexed · 4 hit papers · h-index 17

Impact in

Computer Vision and Pattern Recognition top 0.5%
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
Geology top 2%
- 3D Surveying and Cultural Heritage

Papers in ⓘ

Computer Vision and Pattern Recognition 32
- Advanced Neural Network Applications 21
- Multimodal Machine Learning Applications 7
- Advanced Vision and Imaging 5
- Advanced Image and Video Retrieval Techniques 4
Artificial Intelligence 17
- Domain Adaptation and Few-Shot Learning 14

Co-authors: Kurt Keutzer (15 shared papers)Xiangyu Yue (5 shared papers)Xiaoliang Dai (12 shared papers)Sicheng Zhao (5 shared papers)Peizhao Zhang (15 shared papers)Péter Vajda (16 shared papers)Yuandong Tian (4 shared papers)Xuanyu Zhou (1 shared paper)
Journals: ACM Transactions on Embedded Computing Systems (1 paper)Applied Physics Letters (1 paper)IBM Journal of Research and Development (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Clinics (1 paper)
Partner nations: United States Israel China

In The Last Decade

BoRui Wu

41 papers receiving 2.8k citations

Hit Papers

align trajectories log scale

Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP 2023 · 192 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP
2022 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2019 FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
2019 SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

Peers

Countries citing papers authored by BoRui Wu

Since Specialization

Citations

This map shows the geographic impact of BoRui Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by BoRui Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites BoRui Wu more than expected).

Fields of papers citing papers by BoRui Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by BoRui Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by BoRui Wu. The network helps show where BoRui Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside BoRui Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with BoRui Wu Line = papers co-authored together BoRui Wu links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search BoRui Wu, Kurt Keutzer, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Péter Vajda, Yangqing Jia Hit paper breakdown →	2019	718
2	SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud BoRui Wu, Xuanyu Zhou, Sicheng Zhao, Xiangyu Yue, Kurt Keutzer Hit paper breakdown →	2019	457
3	A Review of Single-Source Deep Unsupervised Visual Domain Adaptation IEEE Transactions on Neural Networks and Learning Systems ·Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, BoRui Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto Sangiovanni‐Vincentelli, Sanjit A. Seshia, Kurt Keutzer	2020	242
4	Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions BoRui Wu, Alvin Wan, Xiangyu Yue, Peter Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph E. Gonzalez, Kurt Keutzer	2018	219
5	Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP Feng Liang, BoRui Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, P. Vajda, Diana Marculescu Hit paper breakdown →	2023	192
6	FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, BoRui Wu, Matthew Yu, Tao Xu, Kan Chen, Péter Vajda, Joseph E. Gonzalez	2020	168
7	ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation Xiaoliang Dai, Peizhao Zhang, BoRui Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Péter Vajda, Matt Uyttendaele, Niraj K. Jha	2019	156
8	Cross-Domain Adaptive Teacher for Object Detection 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Yu-Jhe Li, Xiaoliang Dai, Chih‐Yao Ma, Yen‐Cheng Liu, Kan Chen, BoRui Wu, Zijian He, Kris Kitani, Péter Vajda Hit paper breakdown →	2022	139
9	A LiDAR Point Cloud Generator Xiangyu Yue, BoRui Wu, Sanjit A. Seshia, Kurt Keutzer, Alberto Sangiovanni‐Vincentelli	2018	134
10	ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation Proceedings of the AAAI Conference on Artificial Intelligence ·Sicheng Zhao, Yezhen Wang, Bo Li, BoRui Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer	2021	54
11	FBNetV3: Joint Architecture-Recipe Search using Predictor Pretraining Xiaoliang Dai, Alvin Wan, Peizhao Zhang, BoRui Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Péter Vajda, Joseph E. Gonzalez	2021	52
12	Visual Transformers: Where Do Transformers Really Belong in Vision Models? 2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·BoRui Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph E. Gonzalez, Kurt Keutzer, Péter Vajda	2021	48
13	Rethinking the Self-Attention in Vision Transformers Kyungmin Kim, BoRui Wu, Xiaoliang Dai, Peizhao Zhang, Zhicheng Yan, Péter Vajda, Seon Wook Kim	2021	34
14	LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking Bernie Wang, Virginia Wu, BoRui Wu, Kurt Keutzer	2019	32
15	Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference Haoran You, Yunyang Xiong, Xiaoliang Dai, BoRui Wu, Peizhao Zhang, Haoqi Fan, P. Vajda, Yingyan Lin	2023	26
16	NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection Chenfeng Xu, BoRui Wu, Ji Hou, Sam S. Tsai, Ruilong Li, Jialiang Wang, Wei Zhan, Zijian He, Péter Vajda, Kurt Keutzer, Masayoshi Tomizuka	2023	19
17	Co-design of deep neural nets and neural net accelerators for embedded vision applications Kiseok Kwon, Alon Amid, Amir Gholami, BoRui Wu, Krste Asanović, Kurt Keutzer	2018	18
18	Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation Ruizhe Cheng, BoRui Wu, Peizhao Zhang, Péter Vajda, Joseph E. Gonzalez	2021	16
19	A Review of Single-Source Deep Unsupervised Visual Domain Adaptation arXiv (Cornell University) ·Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, BoRui Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto Sangiovanni‐Vincentelli, Sanjit A. Seshia, Kurt Keutzer	2020	15
20	FP-NAS: Fast Probabilistic Neural Architecture Search Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, BoRui Wu, Matt Feiszli	2021	13

About BoRui Wu

BoRui Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Computer Graphics and Computer-Aided Design and Computational Mechanics, having authored 42 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (21 papers), Domain Adaptation and Few-Shot Learning (14 papers), Multimodal Machine Learning Applications (7 papers), CCD and CMOS Imaging Sensors (5 papers), Advanced Vision and Imaging (5 papers), Computer Graphics and Visualization Techniques (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Advanced Memory and Neural Computing (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Geology (259 citations), Artificial Intelligence (1.3k citations), Environmental Engineering (361 citations) and Computer Graphics and Computer-Aided Design (73 citations). BoRui Wu has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Kurt Keutzer, Xiangyu Yue, Xiaoliang Dai, Sicheng Zhao, Peizhao Zhang, Péter Vajda, Yuandong Tian, Xuanyu Zhou, Yanghan Wang and Yangqing Jia. Their work appears in journals such as ACM Transactions on Embedded Computing Systems, Applied Physics Letters, IBM Journal of Research and Development, IEEE Transactions on Neural Networks and Learning Systems and Clinics.

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