Yuhang Cao
Computer Vision and Pattern Recognition · 2019–2025
A researcher in the Science corpus: 6 papers; trusts 462 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 220 citations into it; #16,719 of 21,575 by trust here, #2,888 by citations
- Artificial Intelligence — 201 citations into it; #27,276 of 35,345 by trust here, #4,489 by citations
- Evaluation & Benchmarks — 29 citations into it
- Model Architectures — 19 citations into it
- Optimization & Training — 12 citations into it
Whom Yuhang Cao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Tsung-Yi Lin
- Shaoqing Ren
- Alex Krizhevsky
- Geoffrey E. Hinton
- Piotr Doll'ar
- Karen Simonyan
- Yann LeCun
- Yoshua Bengio
Who trusts Yuhang Cao overall
- Shengkai Wu
- Kemal Oksuz
- Xiaoping Li
- Li Zhu
- Ziping Yu
- Baris Can Cam
- Wenhai Wang
- Zihao Xie
- Xiangxiang Chu
- Weihao Yu
Papers from Yuhang Cao's perspective
Ordered by how strongly the researchers Yuhang Cao trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- MMDetection: Open MMLab Detection Toolbox and Benchmark (2019) — 3,471 citations
- Prime Sample Attention in Object Detection (2019) — 228 citations
- InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition (2023) — 354 citations
- Seesaw Loss for Long-Tailed Instance Segmentation (2020) — 294 citations
- InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model (2024) — 387 citations
- Visual-RFT: Visual Reinforcement Fine-Tuning (2025) — 511 citations