Junjie Huang
Computer Vision and Pattern Recognition · arXiv.org · 2018–2022
A researcher in the Science corpus: 4 papers; trusts 619 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 142 citations into it; #7,696 of 21,575 by trust here, #10,677 by citations
- Artificial Intelligence — 34 citations into it
- Aerospace Engineering — 27 citations into it; #2,958 of 6,421 by trust here, #3,072 by citations
- Model Architectures — 21 citations into it
- Evaluation & Benchmarks — 14 citations into it
- Optimization & Training — 11 citations into it
- Efficiency & Compression — 7 citations into it
- Computational Mechanics — 6 citations into it
Whom Junjie Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Alex Krizhevsky
- Tsung-Yi Lin
- Geoffrey E. Hinton
- Shaoqing Ren
- Ilya Sutskever
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
Who trusts Junjie Huang overall
- Yingfei Liu
- Jiageng Mao
- Yinhao Li
- Shaoshuai Shi
- Yunpeng Zhang
- Shihao Wang
- Tiancai Wang
- Tingting Liang
- Junjie Yan
- Yuan-Ko Huang
Papers from Junjie Huang's perspective
Ordered by how strongly the researchers Junjie Huang 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View (2021) — 1,076 citations
- BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection (2022) — 526 citations
- WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition (2021) — 355 citations
- An Efficient Optical Flow Based Motion Detection Method for Non-stationary Scenes (2018) — 28 citations