Yukang Chen
Computer Vision and Pattern Recognition · 2018–2024
A researcher in the Science corpus: 12 papers; trusts 1,065 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 459 citations into it; #16,644 of 21,575 by trust here, #4,750 by citations
- Artificial Intelligence — 260 citations into it
- Model Architectures — 90 citations into it
- Aerospace Engineering — 60 citations into it
- Efficiency & Compression — 40 citations into it
- Computational Mechanics — 38 citations into it
- Optimization & Training — 34 citations into it
- Evaluation & Benchmarks — 32 citations into it
Whom Yukang Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Ross B. Girshick
- Geoffrey E. Hinton
- Karen Simonyan
- Barret Zoph
- Tsung-Yi Lin
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
Who trusts Yukang Chen overall
- Peiwen Lin
- Hang Xu
- Feng Liang
- Jiemin Fang
- Yuan Gao
- Miao Zhang
- Zhengxia Zou
- Yanwei Li
- Ning Wang
- Pengzhen Ren
Papers from Yukang Chen's perspective
Ordered by how strongly the researchers Yukang Chen 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
- DetNAS: Neural Architecture Search on Object Detection (2019) — 94 citations
- LISA: Reasoning Segmentation via Large Language Model (2023) — 972 citations
- Learning Dynamic Routing for Semantic Segmentation (2020) — 189 citations
- DetNAS: Backbone Search for Object Detection (2019) — 289 citations
- Focal Sparse Convolutional Networks for 3D Object Detection (2022) — 313 citations
- Fully Convolutional Networks for Panoptic Segmentation With Point-Based Supervision (2021) — 65 citations
- RENAS: Reinforced Evolutionary Neural Architecture Search (2019) — 126 citations
- LongVILA: Scaling Long-Context Visual Language Models for Long Videos (2024) — 306 citations
- Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks (2024) — 1,209 citations
- VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (2023) — 480 citations
- EAT-NAS: elastic architecture transfer for accelerating large-scale neural architecture search (2019) — 25 citations
- RealPoint3D: Point Cloud Generation from a Single Image with Complex Background (2018) — 11 citations