Chong Sun
Computer Vision and Pattern Recognition · ECCV Workshops · 2015–2019
A researcher in the Science corpus: 5 papers; trusts 156 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 220 citations into it
Whom Chong Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Martin Danelljan
- João F. Henriques
- Navneet Dalal
- Kaiming He
- Fahad Shahbaz Khan
- Geoffrey E. Hinton
- Alex Krizhevsky
- Luca Bertinetto
Papers from Chong Sun's perspective
Ordered by how strongly the researchers Chong Sun trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Histograms of oriented gradients for human detection
- Object Detection with Discriminatively Trained Part Based Models
Their papers
- The Visual Object Tracking VOT2015 Challenge Results (2015) — 901 citations
- The Visual Object Tracking VOT2016 Challenge Results (2016) — 773 citations
- The Visual Object Tracking VOT2017 Challenge Results (2017) — 301 citations
- The Sixth Visual Object Tracking VOT2018 Challenge Results (2018) — 797 citations
- Visual Tracking via Adaptive Spatially-Regularized Correlation Filters (2019) — 310 citations