Dalong Du

Computer Vision and Pattern Recognition · 2015–2023

A researcher in the Science corpus: 7 papers; trusts 952 researchers and is trusted by 67 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 321 citations into it; #9,097 of 21,575 by trust here, #4,067 by citations
• Artificial Intelligence — 86 citations into it; #4,299 of 35,345 by trust here, #2,388 by citations
• Model Architectures — 51 citations into it; #468 of 2,278 by trust here, #260 by citations
• Aerospace Engineering — 48 citations into it; #2,702 of 6,421 by trust here, #3,072 by citations
• Evaluation & Benchmarks — 22 citations into it
• Computational Mechanics — 17 citations into it
• Optimization & Training — 16 citations into it
• Electrical and Electronic Engineering — 12 citations into it

Whom Dalong Du trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Yann LeCun
7. Yoshua Bengio
8. Shaoqing Ren
9. Diederik P. Kingma
10. Tsung-Yi Lin

Who trusts Dalong Du overall

1. Liang-Chieh Chen
2. Xiaodan Liang
3. Anurag Arnab
4. Iasonas Kokkinos
5. Chunhua Shen
6. Philip H. S. Torr
7. Hengshuang Zhao
8. Xiaojuan Qi
9. Xiaogang Wang
10. George Papandreou

Papers from Dalong Du's perspective

Ordered by how strongly the researchers Dalong Du trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• The Visual Object Tracking VOT2015 Challenge Results (2015) — 901 citations
• Conditional Random Fields as Recurrent Neural Networks (2015) — 2,597 citations
• Attention-Guided Unified Network for Panoptic Segmentation (2018) — 293 citations
• BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View (2021) — 1,076 citations
• The Visual Object Tracking VOT2017 Challenge Results (2017) — 301 citations
• OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction (2023) — 382 citations
• WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition (2021) — 355 citations