Chung-Ching Lin
Computer Vision and Pattern Recognition · 2015–2021
A researcher in the Science corpus: 7 papers; trusts 871 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 252 citations into it; #15,759 of 21,575 by trust here, #9,079 by citations
- Artificial Intelligence — 160 citations into it
- Model Architectures — 58 citations into it
- Efficiency & Compression — 45 citations into it
- Optimization & Training — 16 citations into it
- Aerospace Engineering — 11 citations into it
- Endocrinology, Diabetes and Metabolism — 9 citations into it
Whom Chung-Ching Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Geoffrey E. Hinton
- Alex Krizhevsky
- David G. Lowe
- Yoshua Bengio
- Karen Simonyan
- Andrew Zisserman
- Diederik P. Kingma
- Yann LeCun
Who trusts Chung-Ching Lin overall
- Bowen Pan
- Rameswar Panda
- Minghan Li
- Dongfang Liu
- Ting-Li Chen
- Amir Ghodrati
- Erico Tjoa
- Zejia Weng
- Yue Meng
- Shuai Li
Papers from Chung-Ching Lin's perspective
Ordered by how strongly the researchers Chung-Ching Lin 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioning (2021) — 341 citations
- AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition (2021) — 70 citations
- AR-Net: Adaptive Frame Resolution for Efficient Action Recognition (2020) — 177 citations
- VA-RED2: Video Adaptive Redundancy Reduction (2021) — 22 citations
- Video Instance Segmentation Tracking With a Modified VAE Architecture (2020) — 57 citations
- Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images (2018) — 45 citations
- Adaptive as-natural-as-possible image stitching (2015) — 364 citations