Mengdan Zhang
Computer Vision and Pattern Recognition · 2015–2023
A researcher in the Science corpus: 5 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 202 citations into it
Whom Mengdan Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Yoshua Bengio
- Jia Deng
- Diederik P. Kingma
- Ross B. Girshick
- Yann LeCun
- Ilya Sutskever
Papers from Mengdan Zhang's perspective
Ordered by how strongly the researchers Mengdan Zhang 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
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Microsoft COCO: Common Objects in Context
Their papers
- The Visual Object Tracking VOT2015 Challenge Results (2015) — 901 citations
- The Visual Object Tracking VOT2016 Challenge Results (2016) — 773 citations
- The Visual Object Tracking VOT2017 Challenge Results (2017) — 301 citations
- Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer (2021) — 301 citations
- MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models (2023) — 1,670 citations