Xinge Zhu
Computer Vision and Pattern Recognition · 2018–2022
A researcher in the Science corpus: 6 papers; trusts 810 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 201 citations into it; #6,384 of 21,575 by trust here, #6,873 by citations
- Aerospace Engineering — 72 citations into it; #2,779 of 6,421 by trust here, #1,784 by citations
- Artificial Intelligence — 59 citations into it
- Computational Mechanics — 33 citations into it
- Geology — 20 citations into it
- Model Architectures — 18 citations into it
- Environmental Engineering — 14 citations into it
- Evaluation & Benchmarks — 13 citations into it
Whom Xinge Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Karen Simonyan
- Shaoqing Ren
- Yoshua Bengio
- Yann LeCun
- Andrew Zisserman
Who trusts Xinge Zhu overall
- Tai Wang
- Junjie Huang
- Jiangmiao Pang
- Yingfei Liu
- Zhijian Liu
- Yi Wei
- Xingjie Zhao
- Tingting Liang
- Lukas Hoyer
- Jinhong Deng
Papers from Xinge Zhu's perspective
Ordered by how strongly the researchers Xinge Zhu 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
- FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection (2021) — 814 citations
- Adapting Object Detectors via Selective Cross-Domain Alignment (2019) — 378 citations
- Probabilistic and Geometric Depth: Detecting Objects in Perspective (2021) — 366 citations
- Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation (2020) — 723 citations
- TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers (2022) — 996 citations
- TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents (2018) — 465 citations