Hao Yang
Computer Vision and Pattern Recognition · 2006–2022
A researcher in the Science corpus: 11 papers; trusts 1,084 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 355 citations into it; #13,470 of 21,575 by trust here, #5,680 by citations
- Artificial Intelligence — 196 citations into it
- Representation & Self-Supervised Learning — 73 citations into it
- Evaluation & Benchmarks — 43 citations into it
- Optimization & Training — 33 citations into it
- Generative Models — 32 citations into it
- Model Architectures — 26 citations into it
- Signal Processing — 23 citations into it
Whom Hao Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Yann LeCun
- Karen Simonyan
- Andrew Zisserman
Who trusts Hao Yang overall
- Tianshui Chen
- Zhouxia Wang
- Luis Villaseñor Pineda
- Liang Li
- Shang-Fu Chen
- Yongcheng Liu
- Guanbin Li
- Liang Lin
- Junke Wang
- Hao-Yu Wu
Papers from Hao Yang's perspective
Ordered by how strongly the researchers Hao Yang 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- 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
- Face X-Ray for More General Face Forgery Detection (2019) — 1,221 citations
- Detecting 11K Classes: Large Scale Object Detection Without Fine-Grained Bounding Boxes (2019) — 30 citations
- Exploit Bounding Box Annotations for Multi-Label Object Recognition (2015) — 181 citations
- FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping (2019) — 460 citations
- Mask-Guided Portrait Editing With Conditional GANs (2019) — 151 citations
- Omni-DETR: Omni-Supervised Object Detection with Transformers (2022) — 53 citations
- Rethinking the Hyperparameters for Fine-tuning (2020) — 148 citations
- General Facial Representation Learning in a Visual-Linguistic Manner (2021) — 269 citations
- Robust rate adaptation for 802.11 wireless networks (2006) — 676 citations
- Continual Universal Object Detection (2020) — 13 citations
- Multi-task incremental learning for object detection (2020) — 54 citations