Longyin Wen
Computer Vision and Pattern Recognition · 2014–2021
A researcher in the Science corpus: 20 papers; trusts 1,613 researchers and is trusted by 80 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 816 citations into it; #3,508 of 21,575 by trust here, #1,501 by citations
- Artificial Intelligence — 276 citations into it; #16,227 of 35,345 by trust here, #5,059 by citations
- Evaluation & Benchmarks — 83 citations into it
- Aerospace Engineering — 82 citations into it
- Model Architectures — 80 citations into it
- Biomedical Engineering — 41 citations into it
- Media Technology — 29 citations into it
- Electrical and Electronic Engineering — 27 citations into it
Whom Longyin Wen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Karen Simonyan
- Piotr Doll'ar
- Yoshua Bengio
- Shaoqing Ren
- Andrew Zisserman
- Ilya Sutskever
Who trusts Longyin Wen overall
- Yancheng Bai
- Shengkai Wu
- Dawei Du
- Songtao Liu
- Yongqiang Zhang
- Peng Fei Zhu
- Xiongwei Wu
- Fan Yang
- Wei David Liu
- Wei Xiang
Papers from Longyin Wen's perspective
Ordered by how strongly the researchers Longyin Wen 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- The Visual Object Tracking VOT2015 Challenge Results (2015) — 901 citations
- The Visual Object Tracking VOT2014 Challenge Results (2014) — 512 citations
- Single-Shot Refinement Neural Network for Object Detection (2017) — 1,373 citations
- The Visual Object Tracking VOT2016 Challenge Results (2016) — 773 citations
- The Fastest Deformable Part Model for Object Detection (2014) — 289 citations
- Vision Meets Drones: A Challenge (2018) — 533 citations
- UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking (2015) — 749 citations
- Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd (2018) — 446 citations
- ScratchDet: Exploring to Train Single-Shot Object Detectors from Scratch (2018) — 25 citations
- The Visual Object Tracking VOT2017 Challenge Results (2017) — 301 citations
- Towards Real-World Prohibited Item Detection: A Large-Scale X-ray Benchmark (2021) — 118 citations
- VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results (2019) — 1,010 citations
- Spatial Attention Pyramid Network for Unsupervised Domain Adaptation (2020) — 135 citations
- Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization (2019) — 198 citations
- Adaptive RNN Tree for Large-Scale Human Action Recognition (2017) — 104 citations
- Detection and Tracking Meet Drones Challenge (2020) — 1,156 citations
- Guided Attention Network for Object Detection and Counting on Drones (2019) — 75 citations
- Learning Semantic Neural Tree for Human Parsing (2019) — 59 citations
- Category-Blind Human Action Recognition: A Practical Recognition System (2015) — 74 citations
- DETRAC: A New Benchmark and Protocol for Multi-Object Tracking (2015) — 63 citations