Alexey Bochkovskiy

Computer Vision and Pattern Recognition · 2020–2024

A researcher in the Science corpus: 5 papers; trusts 1,374 researchers and is trusted by 306 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 317 citations into it; #2,316 of 21,575 by trust here, #2,485 by citations
• Artificial Intelligence — 174 citations into it; #8,585 of 35,345 by trust here, #9,170 by citations
• Model Architectures — 62 citations into it; #703 of 2,278 by trust here, #915 by citations
• Aerospace Engineering — 31 citations into it; #2,198 of 6,421 by trust here, #2,367 by citations
• Efficiency & Compression — 27 citations into it
• Media Technology — 26 citations into it
• Optimization & Training — 21 citations into it
• Evaluation & Benchmarks — 18 citations into it

Whom Alexey Bochkovskiy 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. Christian Szegedy
6. Shaoqing Ren
7. Yann LeCun
8. Karen Simonyan
9. Yoshua Bengio
10. X. Zhang

Who trusts Alexey Bochkovskiy overall

1. Chien-Yao Wang
2. Hulin Li
3. Diganta Misra
4. Juan R. Terven
5. Muhammad Hussain
6. Ao Wang
7. Hongpeng Liao
8. Xingkui Zhu
9. Chuyin Li
10. Ming Kang

Papers from Alexey Bochkovskiy's perspective

Ordered by how strongly the researchers Alexey Bochkovskiy 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Vision Transformers for Dense Prediction (2021) — 2,887 citations
• YOLOv4: Optimal Speed and Accuracy of Object Detection (2020) — 15,853 citations
• Scaled-YOLOv4: Scaling Cross Stage Partial Network (2020) — 1,445 citations
• YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors (2022) — 10,740 citations
• Depth Pro: Sharp Monocular Metric Depth in Less Than a Second (2024) — 514 citations