Anh Tuan Tran
Computer Vision and Pattern Recognition · 2016–2022
A researcher in the Science corpus: 9 papers; trusts 949 researchers and is trusted by 46 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 226 citations into it; #4,423 of 21,575 by trust here, #4,887 by citations
- Artificial Intelligence — 77 citations into it; #12,499 of 35,345 by trust here, #19,439 by citations
- Signal Processing — 48 citations into it; #1,140 of 7,572 by trust here, #1,299 by citations
- Generative Models — 35 citations into it
- Computational Mechanics — 21 citations into it
- Optimization & Training — 20 citations into it
- Representation & Self-Supervised Learning — 19 citations into it; #2,095 of 3,145 by trust here, #2,691 by citations
- Evaluation & Benchmarks — 17 citations into it
Whom Anh Tuan Tran trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- David G. Lowe
- Diederik P. Kingma
- Ilya Sutskever
- Tal Hassner
- Andrew Zisserman
- Ross B. Girshick
- Yoshua Bengio
Who trusts Anh Tuan Tran overall
- Yuval Nirkin
- Tal Hassner
- Michael Zollhöfer
- Hyeongwoo Kim
- Yao Feng
- Iacopo Masi
- Shangzhe Wu
- Sergey I. Nikolenko
- Ayush Kumar Tewari
- Soubhik Sanyal
Papers from Anh Tuan Tran's perspective
Ordered by how strongly the researchers Anh Tuan Tran 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
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- 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
- Regressing Robust and Discriminative 3D Morphable Models with a Very Deep Neural Network (2016) — 504 citations
- Do We Really Need to Collect Millions of Faces for Effective Face Recognition? (2016) — 379 citations
- Extreme 3D Face Reconstruction: Seeing Through Occlusions (2017) — 183 citations
- On Face Segmentation, Face Swapping, and Face Perception (2017) — 298 citations
- HyperInverter: Improving StyleGAN Inversion via Hypernetwork (2021) — 129 citations
- Transmembrane Membrane Readers form a Novel Class of Proteins That Include Peripheral Phosphoinositide Recognition Domains and Viral Spikes (2022) — 6 citations
- Input-Aware Dynamic Backdoor Attack (2020) — 571 citations
- Transferability and Hardness of Supervised Classification Tasks (2019) — 209 citations
- Extreme 3D Face Reconstruction: Looking Past Occlusions (2017) — 16 citations