Jiaolong Yang
Computer Vision and Pattern Recognition · 2013–2024
A researcher in the Science corpus: 11 papers; trusts 925 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 349 citations into it; #5,715 of 21,575 by trust here, #3,875 by citations
- Artificial Intelligence — 96 citations into it; #11,411 of 35,345 by trust here, #10,798 by citations
- Computational Mechanics — 62 citations into it
- Computer Graphics and Computer-Aided Design — 55 citations into it
- Generative Models — 54 citations into it
- Aerospace Engineering — 48 citations into it; #2,190 of 6,421 by trust here, #3,072 by citations
- Signal Processing — 38 citations into it
- Model Architectures — 33 citations into it
Whom Jiaolong Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Andrew Zisserman
- Yann LeCun
- Karen Simonyan
- Ross B. Girshick
- Ilya Sutskever
Who trusts Jiaolong Yang overall
- Yue Wang
- Xiaoshui Huang
- Zhen Dong
- Justin M. Solomon
- Juyong Zhang
- Qian-Yi Zhou
- Zi-Mei Yao
- Guofeng Mei
- Yu Deng
- Christopher Bongsoo Choy
Papers from Jiaolong Yang's perspective
Ordered by how strongly the researchers Jiaolong 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
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Neural Aggregation Network for Video Face Recognition (2016) — 397 citations
- Accurate 3D Face Reconstruction With Weakly-Supervised Learning: From Single Image to Image Set (2019) — 887 citations
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks (2018) — 770 citations
- Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning (2020) — 394 citations
- A Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing (2017) — 329 citations
- MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision (2024) — 305 citations
- CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation (2024) — 387 citations
- Structured 3D Latents for Scalable and Versatile 3D Generation (2024) — 798 citations
- Disentangled Face Attribute Editing via Instance-Aware Latent Space Search (2021) — 30 citations
- Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration (2016) — 1,133 citations
- Go-ICP: Solving 3D Registration Efficiently and Globally Optimally (2013) — 506 citations