Zheng Ge
Computer Vision and Pattern Recognition · 2021–2023
A researcher in the Science corpus: 4 papers; trusts 530 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 220 citations into it; #9,800 of 21,575 by trust here, #6,542 by citations
- Artificial Intelligence — 138 citations into it; #15,397 of 35,345 by trust here, #10,566 by citations
- Evaluation & Benchmarks — 22 citations into it
- Model Architectures — 19 citations into it
- Optimization & Training — 11 citations into it
- Radiology, Nuclear Medicine and Imaging — 11 citations into it; #1,567 of 3,265 by trust here, #1,233 by citations
- Signal Processing — 9 citations into it
Whom Zheng Ge trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Joseph Redmon
- Geoffrey E. Hinton
- Alex Krizhevsky
- Tsung-Yi Lin
- Shaoqing Ren
- Piotr Doll'ar
- Yoshua Bengio
- Yann LeCun
Who trusts Zheng Ge overall
- Juan R. Terven
- Chien-Yao Wang
- Diana-Margarita Córdova-Esparza
- Shoufa Chen
- Pei Sun
- Chuyin Li
- Wentong Li
- S. Cong
- Daniel Gehrig
- Jinkun Cao
Papers from Zheng Ge's perspective
Ordered by how strongly the researchers Zheng Ge 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
- Attention is All you Need (Neural Information Processing Systems)
- 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
- YOLOX: Exceeding YOLO Series in 2021 (2021) — 6,005 citations
- BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection (2022) — 1,027 citations
- OTA: Optimal Transport Assignment for Object Detection (2021) — 529 citations
- DreamLLM: Synergistic Multimodal Comprehension and Creation (2023) — 336 citations