Shuhui Wang

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 9 papers; trusts 1,104 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 260 citations into it; #8,497 of 21,575 by trust here, #8,952 by citations
• Artificial Intelligence — 181 citations into it
• Representation & Self-Supervised Learning — 60 citations into it
• Multimodal Learning — 40 citations into it; #1,155 of 1,211 by trust here, #984 by citations
• Natural Language Processing — 37 citations into it
• Model Architectures — 28 citations into it
• Cognitive Neuroscience — 26 citations into it
• Generative Models — 19 citations into it

Whom Shuhui Wang trusts overall

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

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

Who trusts Shuhui Wang overall

1. Deng-Ping Fan
2. Xiaoqi Zhao
3. Youwei Pang
4. Jian Liang
5. Jing Zhang
6. Aixuan Li
7. Nian Liu
8. Qi Zheng
9. Ge-Peng Ji
10. Mingchen Zhuge

Papers from Shuhui Wang's perspective

Ordered by how strongly the researchers Shuhui Wang 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
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

• Less Is More: Picking Informative Frames for Video Captioning (2018) — 209 citations
• Interpretable Visual Reasoning via Probabilistic Formulation Under Natural Supervision (2020) — 11 citations
• Entity-Enhanced Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding (2022) — 76 citations
• Gradually Vanishing Bridge for Adversarial Domain Adaptation (2020) — 288 citations
• Mining Latent Structures for Multimedia Recommendation (2021) — 428 citations
• Label Decoupling Framework for Salient Object Detection (2020) — 337 citations
• Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations (2020) — 443 citations
• F3Net: Fusion, Feedback and Focus for Salient Object Detection (2019) — 862 citations
• Attentive Recurrent Neural Network for Weak-supervised Multi-label Image Classification (2018) — 39 citations