Bohan Zhuang

Computer Vision and Pattern Recognition · 2018–2024

A researcher in the Science corpus: 6 papers; trusts 1,027 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 273 citations into it; #17,056 of 21,575 by trust here, #7,938 by citations
• Artificial Intelligence — 190 citations into it; #27,631 of 35,345 by trust here, #12,580 by citations
• Efficiency & Compression — 88 citations into it
• Model Architectures — 77 citations into it
• Optimization & Training — 31 citations into it
• Evaluation & Benchmarks — 18 citations into it
• Media Technology — 11 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Bohan Zhuang trusts overall

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

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

Who trusts Bohan Zhuang overall

1. By Lei Deng
2. Yong Guo
3. Yang He
4. Guoqi Li
5. Weizhe Hua
6. Bichen Wu

Papers from Bohan Zhuang's perspective

Ordered by how strongly the researchers Bohan Zhuang 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

• Discrimination-aware Channel Pruning for Deep Neural Networks (2018) — 637 citations
• Training Compact Neural Networks with Binary Weights and Low Precision Activations (2018) — 14 citations
• Sharpness-aware Quantization for Deep Neural Networks (2021) — 30 citations
• Fast Vision Transformers with HiLo Attention (2022) — 296 citations
• MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images (2024) — 571 citations
• Discrimination-Aware Network Pruning for Deep Model Compression (2020) — 169 citations