Chong Luo
Computer Vision and Pattern Recognition · ECCV Workshops · 2009–2022
A researcher in the Science corpus: 6 papers; trusts 116 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 142 citations into it
- Artificial Intelligence — 45 citations into it
- Signal Processing — 31 citations into it
- Computational Mechanics — 16 citations into it
- Speech & Audio — 16 citations into it
- Biomedical Engineering — 13 citations into it
Whom Chong Luo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Martin Danelljan
- Alex Krizhevsky
- Geoffrey E. Hinton
- E.J. Candes
- Ilya Sutskever
- Kaiming He
- Arun Narayanan
- Luca Bertinetto
- Diederik P. Kingma
- Yoshua Bengio
Who trusts Chong Luo overall
- Changchang Liu
- Saad B. Qaisar
- Lianghua Huang
- Supriyo Chakraborty
- Seyed Mojtaba Marvasti-Zadeh
- Sefik Emre Eskimez
- Goutam Bhat
- Hyeong-Seok Choi
- Yuichiro Koyama
- Dongyan Guo
Papers from Chong Luo's perspective
Ordered by how strongly the researchers Chong Luo 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- A Twofold Siamese Network for Real-Time Object Tracking (2018) — 608 citations
- The Sixth Visual Object Tracking VOT2018 Challenge Results (2018) — 797 citations
- The Seventh Visual Object Tracking VOT2019 Challenge Results (2019) — 486 citations
- Compressive data gathering for large-scale wireless sensor networks (2009) — 626 citations
- RetrieverTTS: Modeling Decomposed Factors for Text-Based Speech Insertion (2022) — 14 citations
- PHASEN: A Phase-and-Harmonics-Aware Speech Enhancement Network (2019) — 402 citations