Yuhang Zang
Computer Vision and Pattern Recognition · 2019–2025
A researcher in the Science corpus: 10 papers; trusts 632 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 317 citations into it
- Artificial Intelligence — 260 citations into it
- Multimodal Learning — 103 citations into it
- Evaluation & Benchmarks — 46 citations into it
- Model Architectures — 23 citations into it
- Media Technology — 15 citations into it
- Optimization & Training — 10 citations into it
Whom Yuhang Zang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Geoffrey E. Hinton
- Alex Krizhevsky
- Shaoqing Ren
- Tsung-Yi Lin
- Piotr Doll'ar
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
Who trusts Yuhang Zang overall
Papers from Yuhang Zang's perspective
Ordered by how strongly the researchers Yuhang Zang 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Open-Vocabulary DETR with Conditional Matching (2022) — 319 citations
- Are We on the Right Way for Evaluating Large Vision-Language Models? (2024) — 885 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
- VLMEvalKit: An Open-Source ToolKit for Evaluating Large Multi-Modality Models (2024) — 565 citations
- Long-CLIP: Unlocking the Long-Text Capability of CLIP (2024) — 390 citations
- InternLM2 Technical Report (2024) — 416 citations
- ShareGPT4Video: Improving Video Understanding and Generation with Better Captions (2024) — 451 citations
- Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network (2019) — 496 citations