Wei Zhan

Computer Vision and Pattern Recognition · with Xu · 2017–2023

A researcher in the Science corpus: 6 papers; trusts 426 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 188 citations into it
• Artificial Intelligence — 98 citations into it
• Aerospace Engineering — 37 citations into it
• Automotive Engineering — 22 citations into it
• Efficiency & Compression — 16 citations into it
• Environmental Engineering — 12 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Wei Zhan trusts overall

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

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

Who trusts Wei Zhan overall

1. Julian Bock
2. Bo Yang

Papers from Wei Zhan's perspective

Ordered by how strongly the researchers Wei Zhan 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. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Sparse R-CNN: End-to-End Object Detection with Learnable Proposals (2020) — 1,499 citations
• Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0 (2023) — 1,105 citations
• INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps (2019) — 610 citations
• SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation (2020) — 449 citations
• Fusing Bird View LIDAR Point Cloud and Front View Camera Image for Deep Object Detection (2017) — 29 citations
• A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning (2017) — 90 citations