Pei Sun
Computer Vision and Pattern Recognition · IEEE International Conference on Computer Vision · 2019–2023
A researcher in the Science corpus: 12 papers; trusts 1,127 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 495 citations into it; #8,759 of 21,575 by trust here, #2,040 by citations
- Artificial Intelligence — 251 citations into it; #34,356 of 35,345 by trust here, #7,112 by citations
- Evaluation & Benchmarks — 73 citations into it
- Aerospace Engineering — 59 citations into it
- Model Architectures — 57 citations into it
- Automotive Engineering — 35 citations into it
- Generative Models — 30 citations into it
- Optimization & Training — 24 citations into it
Whom Pei Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Shaoqing Ren
- Diederik P. Kingma
- Tsung-Yi Lin
- Jia Deng
- Yann LeCun
Who trusts Pei Sun overall
- Jinkun Cao
- Wenhai Wang
- Enze Xie
- Jianwei Yang
- Shaoshuai Shi
- Fangao Zeng
- Yunhao Du
- Jiageng Mao
- Shenyuan Gao
- Jiannan Wu
Papers from Pei Sun's perspective
Ordered by how strongly the researchers Pei Sun 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Scalability in Perception for Autonomous Driving: Waymo Open Dataset (2019) — 4,247 citations
- Sparse R-CNN: End-to-End Object Detection with Learnable Proposals (2020) — 1,499 citations
- End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds (2019) — 401 citations
- PolarMask: Single Shot Instance Segmentation With Polar Representation (2019) — 627 citations
- GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest (2023) — 363 citations
- TransTrack: Multiple-Object Tracking with Transformer (2020) — 798 citations
- StarNet: Targeted Computation for Object Detection in Point Clouds (2019) — 130 citations
- ByteTrack: Multi-Object Tracking by Associating Every Detection Box (2021) — 2,498 citations
- Language as Queries for Referring Video Object Segmentation (2022) — 263 citations
- DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion (2021) — 422 citations
- DiffusionDet: Diffusion Model for Object Detection (2022) — 758 citations
- Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset (2021) — 896 citations