Bichen Wu

Computer Vision and Pattern Recognition · 2016–2022

A researcher in the Science corpus: 21 papers; trusts 1,294 researchers and is trusted by 82 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 630 citations into it; #3,362 of 21,575 by trust here, #1,380 by citations
• Artificial Intelligence — 487 citations into it; #9,885 of 35,345 by trust here, #3,539 by citations
• Representation & Self-Supervised Learning — 145 citations into it
• Efficiency & Compression — 139 citations into it; #372 of 1,264 by trust here, #154 by citations
• Model Architectures — 107 citations into it
• Evaluation & Benchmarks — 66 citations into it
• Optimization & Training — 55 citations into it
• Radiology, Nuclear Medicine and Imaging — 41 citations into it

Whom Bichen Wu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Diederik P. Kingma
6. Yoshua Bengio
7. Ilya Sutskever
8. Karen Simonyan
9. Yann LeCun
10. Christian Szegedy

Who trusts Bichen Wu overall

1. Chenfeng Xu
2. Xiaoliang Dai
3. Sergey I. Nikolenko
4. A. Gholami
5. Kurt Keutzer
6. Zi-Mei Yao
7. Zhen Dong
8. Ji Lin
9. Yifan Yang
10. Zining Wang

Papers from Bichen Wu's perspective

Ordered by how strongly the researchers Bichen Wu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search (2018) — 1,467 citations
• Visual Transformers: Token-based Image Representation and Processing for Computer Vision (2020) — 755 citations
• Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions (2017) — 401 citations
• ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation (2018) — 294 citations
• Unbiased Teacher for Semi-Supervised Object Detection (2021) — 634 citations
• SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud (2017) — 932 citations
• Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP (2022) — 767 citations
• FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions (2020) — 334 citations
• FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function (2020) — 77 citations
• SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud (2018) — 726 citations
• SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving (2016) — 539 citations
• SqueezeNext: Hardware-Aware Neural Network Design (2018) — 329 citations
• Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search (2018) — 313 citations
• Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation (2021) — 35 citations
• Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs (2018) — 122 citations
• Cross-Domain Adaptive Teacher for Object Detection (2021) — 296 citations
• SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation (2020) — 449 citations
• CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs (2021) — 62 citations
• A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision (2021) — 23 citations
• SqueezeWave: Extremely Lightweight Vocoders for On-device Speech Synthesis (2020) — 27 citations