Yuchao Dai
Computer Vision and Pattern Recognition · 2012–2021
A researcher in the Science corpus: 16 papers; trusts 1,287 researchers and is trusted by 32 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 417 citations into it; #5,346 of 21,575 by trust here, #2,228 by citations
- Artificial Intelligence — 89 citations into it
- Media Technology — 72 citations into it; #2,638 of 3,621 by trust here, #321 by citations
- Aerospace Engineering — 56 citations into it; #5,199 of 6,421 by trust here, #1,934 by citations
- Model Architectures — 37 citations into it
- Cognitive Neuroscience — 35 citations into it; #8,047 of 10,852 by trust here, #5,844 by citations
- Human-Computer Interaction — 28 citations into it; #1,402 of 2,253 by trust here, #1,588 by citations
- Evaluation & Benchmarks — 27 citations into it
Whom Yuchao Dai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Karen Simonyan
- Geoffrey E. Hinton
- Ross B. Girshick
- Andrew Zisserman
- David G. Lowe
- Diederik P. Kingma
- Yann LeCun
- Yoshua Bengio
Who trusts Yuchao Dai overall
- Gangwei Xu
- Ravi Garg
- Muhamad Risqi U. Saputra
- Deng-Ping Fan
- Xiaowei Zhou
- Kai Zhang
- David Novotný
- Mihir Sahasrabudhe
- Lei Shi
- Torsten Sattler
Papers from Yuchao Dai's perspective
Ordered by how strongly the researchers Yuchao Dai trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Depth and surface normal estimation from monocular images using regression on deep features and hierarchical CRFs (2015) — 642 citations
- NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results (2017) — 1,901 citations
- A Simple Prior-Free Method for Non-rigid Structure-from-Motion Factorization (2012) — 369 citations
- Rotation Averaging (2013) — 632 citations
- Efficient Global 2D-3D Matching for Camera Localization in a Large-Scale 3D Map (2017) — 176 citations
- Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring (2019) — 649 citations
- IoU Loss for 2D/3D Object Detection (2019) — 479 citations
- Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep CNN (2017) — 259 citations
- Uncertainty-aware Joint Salient Object and Camouflaged Object Detection (2021) — 300 citations
- CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching (2021) — 390 citations
- Simultaneously Localize, Segment and Rank the Camouflaged Objects (2021) — 555 citations
- UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders (2020) — 377 citations
- Weakly-Supervised Salient Object Detection via Scribble Annotations (2020) — 314 citations
- Hierarchical Neural Architecture Search for Deep Stereo Matching (2020) — 429 citations
- Bringing a Blurry Frame Alive at High Frame-Rate With an Event Camera (2018) — 325 citations
- Skeleton boxes: Solving skeleton based action detection with a single deep convolutional neural network (2017) — 36 citations