Ran He

Computer Vision and Pattern Recognition · 2011–2023

A researcher in the Science corpus: 20 papers; trusts 1,838 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 625 citations into it; #4,826 of 21,575 by trust here, #3,393 by citations
• Artificial Intelligence — 407 citations into it; #19,257 of 35,345 by trust here, #20,377 by citations
• Representation & Self-Supervised Learning — 183 citations into it
• Signal Processing — 150 citations into it; #1,688 of 7,572 by trust here, #1,147 by citations
• Generative Models — 89 citations into it; #1,085 of 1,956 by trust here, #909 by citations
• Computational Mechanics — 54 citations into it; #4,100 of 10,001 by trust here, #5,813 by citations
• Optimization & Training — 52 citations into it
• Radiology, Nuclear Medicine and Imaging — 51 citations into it

Whom Ran He trusts overall

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

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

Who trusts Ran He overall

1. Kaiye Wang
2. Jian Liang
3. Jian Yang
4. Tongliang Liu
5. Hao Zhu
6. Liang Wang
7. Xiang Wu
8. Adrian Bulat
9. Weishi Zheng
10. Sergey I. Nikolenko

Papers from Ran He's perspective

Ordered by how strongly the researchers Ran He 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. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis (2017) — 675 citations
• IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis (2018) — 299 citations
• A Light CNN for Deep Face Representation With Noisy Labels (2015) — 1,144 citations
• Wavelet-SRNet: A Wavelet-Based CNN for Multi-scale Face Super Resolution (2017) — 520 citations
• Learning Coupled Feature Spaces for Cross-Modal Matching (2013) — 238 citations
• MEAD: A Large-Scale Audio-Visual Dataset for Emotional Talking-Face Generation (2020) — 491 citations
• A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation (2020) — 123 citations
• Maximum Correntropy Criterion for Robust Face Recognition (2011) — 665 citations
• Half-Quadratic-Based Iterative Minimization for Robust Sparse Representation (2014) — 327 citations
• A Comprehensive Survey on Test-Time Adaptation Under Distribution Shifts (2023) — 561 citations
• Deep Audio-visual Learning: A Survey (2020) — 194 citations
• Invisible Backdoor Attack with Sample-Specific Triggers (2020) — 680 citations
• Learning an Evolutionary Embedding via Massive Knowledge Distillation (2020) — 35 citations
• Source Data-Absent Unsupervised Domain Adaptation Through Hypothesis Transfer and Labeling Transfer (2020) — 358 citations
• Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation (2019) — 92 citations
• Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition (2017) — 297 citations
• Deep Supervised Discrete Hashing (2017) — 334 citations
• Joint Feature Selection and Subspace Learning for Cross-Modal Retrieval (2016) — 306 citations
• Robust view transformation model for gait recognition (2011) — 383 citations
• Robust Principal Component Analysis Based on Maximum Correntropy Criterion (2011) — 350 citations