Yali Wang

Computer Vision and Pattern Recognition · 2017–2024

A researcher in the Science corpus: 16 papers; trusts 1,823 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 834 citations into it; #12,374 of 21,575 by trust here, #2,888 by citations
• Artificial Intelligence — 584 citations into it
• Multimodal Learning — 189 citations into it
• Model Architectures — 156 citations into it
• Evaluation & Benchmarks — 110 citations into it
• Representation & Self-Supervised Learning — 98 citations into it
• Large Language Models — 73 citations into it
• Natural Language Processing — 48 citations into it

Whom Yali Wang trusts overall

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

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

Who trusts Yali Wang overall

1. Zehua Sun
2. Yi Wang
3. Chi Zhang
4. Jun Shu
5. Yu-Xiong Wang
6. Yongming Rao
7. Qi Fan
8. Dongxu Li
9. Weihao Yu
10. Limeng Qiao

Papers from Yali Wang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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

• LSTD: A Low-Shot Transfer Detector for Object Detection (2018) — 392 citations
• VideoChat: chat-centric video understanding (2023) — 975 citations
• InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation (2023) — 513 citations
• Adaptive Pyramid Context Network for Semantic Segmentation (2019) — 384 citations
• InternVideo: General Video Foundation Models via Generative and Discriminative Learning (2022) — 545 citations
• MVBench: A Comprehensive Multi-modal Video Understanding Benchmark (2023) — 1,249 citations
• VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking (2023) — 754 citations
• Learning Attentive Pairwise Interaction for Fine-Grained Classification (2020) — 407 citations
• UniFormer: Unifying Convolution and Self-Attention for Visual Recognition (2022) — 610 citations
• UniFormer: Unified Transformer for Efficient Spatiotemporal Representation Learning (2022) — 368 citations
• RPAN: An End-to-End Recurrent Pose-Attention Network for Action Recognition in Videos (2017) — 173 citations
• VideoMamba: State Space Model for Efficient Video Understanding (2024) — 558 citations
• InternVideo2: Scaling Foundation Models for Multimodal Video Understanding (2024) — 363 citations
• Context-Transformer: Tackling Object Confusion for Few-Shot Detection (2020) — 93 citations
• WildFish: A Large Benchmark for Fish Recognition in the Wild (2018) — 83 citations
• Recurrent Spatial-Temporal Attention Network for Action Recognition in Videos (2018) — 194 citations