Jiankang Deng
Computer Vision and Pattern Recognition · 2017–2021
A researcher in the Science corpus: 7 papers; trusts 965 researchers and is trusted by 326 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 223 citations into it; #2,243 of 21,575 by trust here, #2,367 by citations
- Signal Processing — 82 citations into it; #232 of 7,572 by trust here, #292 by citations
- Artificial Intelligence — 48 citations into it
- Model Architectures — 30 citations into it
- Evaluation & Benchmarks — 26 citations into it
- Optimization & Training — 22 citations into it
- Representation & Self-Supervised Learning — 21 citations into it
Whom Jiankang Deng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Geoffrey E. Hinton
- Christian Szegedy
- Alex Krizhevsky
- Andrew Zisserman
- Shaoqing Ren
- Sergey Ioffe
- Karen Simonyan
- X. Zhang
Who trusts Jiankang Deng overall
- Yuval Alaluf
- Mei Wang
- Weihao Xia
- Yotam Nitzan
- Weiyang Liu
- Weihong Deng
- Gwanghyun Kim
- Stefanos P. Zafeiriou
- Jia Guo
- Li Luo
Papers from Jiankang Deng's perspective
Ordered by how strongly the researchers Jiankang Deng trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- ArcFace: Additive Angular Margin Loss for Deep Face Recognition (2018) — 8,069 citations
- AgeDB: The First Manually Collected, In-the-Wild Age Database (2017) — 877 citations
- Marginal Loss for Deep Face Recognition (2017) — 224 citations
- RetinaFace: Single-stage Dense Face Localisation in the Wild (2019) — 747 citations
- RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild (2020) — 442 citations
- Sub-center ArcFace: Boosting Face Recognition by Large-Scale Noisy Web Faces (2020) — 294 citations
- WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition (2021) — 355 citations