Xintong Han
Computer Vision and Pattern Recognition · 2017–2020
A researcher in the Science corpus: 11 papers; trusts 1,007 researchers and is trusted by 35 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 276 citations into it; #4,766 of 21,575 by trust here, #2,718 by citations
- Artificial Intelligence — 110 citations into it; #26,685 of 35,345 by trust here, #6,378 by citations
- Generative Models — 44 citations into it
- Representation & Self-Supervised Learning — 38 citations into it
- Model Architectures — 31 citations into it; #2,149 of 2,278 by trust here, #969 by citations
- Signal Processing — 29 citations into it
- Media Technology — 28 citations into it; #2,452 of 3,621 by trust here, #1,329 by citations
- Optimization & Training — 19 citations into it
Whom Xintong Han trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Diederik P. Kingma
- Alex Krizhevsky
- Karen Simonyan
- Yoshua Bengio
- Christian Szegedy
- Ross B. Girshick
- Yann LeCun
- Alex Graves
Who trusts Xintong Han overall
- Luisa Verdoliva
- Yuezun Li
- Davide Cozzolino
- Seunghwan Choi
- Huy Hoang Le Nguyen
- Yue Wu
- Kathleen M. Lewis
- Chaitanya Patel
- Yucheng Luo
- Sheng-Yu Wang
Papers from Xintong Han's perspective
Ordered by how strongly the researchers Xintong Han 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
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- NISP: Pruning Networks Using Neuron Importance Score Propagation (2017) — 883 citations
- Two-Stream Neural Networks for Tampered Face Detection (2017) — 635 citations
- Learning Rich Features for Image Manipulation Detection (2018) — 759 citations
- Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning (2019) — 909 citations
- DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation (2018) — 273 citations
- VITON: An Image-Based Virtual Try-on Network (2017) — 763 citations
- Automatic Spatially-Aware Fashion Concept Discovery (2017) — 326 citations
- Enhancing HEVC Compressed Videos with a Partition-Masked Convolutional Neural Network (2018) — 83 citations
- Learning Fashion Compatibility with Bidirectional LSTMs (2017) — 420 citations
- MakeItTalk: Speaker-Aware Talking Head Animation (2020) — 551 citations
- ClothFlow: A Flow-Based Model for Clothed Person Generation (2019) — 307 citations