Dawei Du
Computer Vision and Pattern Recognition · 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) · 2015–2020
A researcher in the Science corpus: 12 papers; trusts 895 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 583 citations into it
- Artificial Intelligence — 192 citations into it
- Aerospace Engineering — 59 citations into it
- Evaluation & Benchmarks — 53 citations into it
- Model Architectures — 53 citations into it
- Electrical and Electronic Engineering — 21 citations into it
- Media Technology — 19 citations into it
- Radiology, Nuclear Medicine and Imaging — 18 citations into it
Whom Dawei Du trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Alex Krizhevsky
- Geoffrey E. Hinton
- Karen Simonyan
- Shaoqing Ren
- Ilya Sutskever
- Andrew Zisserman
- Yoshua Bengio
- Yann LeCun
Who trusts Dawei Du overall
- Longyin Wen
- Yiming Li
- Ziyuan Huang
- Fan Yang
- Changhong Fu
- Ye Lyu
- Peng Fei Zhu
- Jiale Cao
- Tiancai Wang
- Yuanqiang Cai
Papers from Dawei Du's perspective
Ordered by how strongly the researchers Dawei Du 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
- The Visual Object Tracking VOT2015 Challenge Results (2015) — 901 citations
- The Visual Object Tracking VOT2016 Challenge Results (2016) — 773 citations
- UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking (2015) — 749 citations
- The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking (2018) — 990 citations
- The Visual Object Tracking VOT2017 Challenge Results (2017) — 301 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
- 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
- DETRAC: A New Benchmark and Protocol for Multi-Object Tracking (2015) — 63 citations