Sam Kwong
Computer Vision and Pattern Recognition · 2000–2023
A researcher in the Science corpus: 18 papers; trusts 514 researchers and is trusted by 54 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 169 citations into it; #13,260 of 21,575 by trust here, #8,612 by citations
- Artificial Intelligence — 124 citations into it; #4,693 of 35,345 by trust here, #7,858 by citations
- Computational Theory and Mathematics — 74 citations into it; #1,061 of 12,182 by trust here, #1,254 by citations
- Media Technology — 55 citations into it
- Management Science and Operations Research — 18 citations into it
- Optimization & Training — 13 citations into it
- Signal Processing — 8 citations into it
- Control and Systems Engineering — 6 citations into it; #7,354 of 8,257 by trust here, #6,764 by citations
Whom Sam Kwong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dervis Karaboga
- Kalyanmoy Deb
- Qingfu Zhang
- Eckart Zitzler
- Hui Li
- Kaiming He
- John H. Holland
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
Who trusts Sam Kwong overall
- Weifeng Gao
- Susana Vinga
- Ke Li
- Xin Chen
- Pinar Çivicioglu
- Sanyang Liu
- Ran Cheng
- Ming Li
- Dominik Janzing
- Philippe Esling
Papers from Sam Kwong's perspective
Ordered by how strongly the researchers Sam Kwong trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement (2020) — 2,237 citations
- Pareto Multi-Task Learning (2019) — 440 citations
- Stable Matching-Based Selection in Evolutionary Multiobjective Optimization (2014) — 351 citations
- A compression algorithm for DNA sequences and its applications in genome comparison (2000) — 299 citations
- An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition (2015) — 1,080 citations
- Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary Algorithm Based on Decomposition (2014) — 414 citations
- Gbest-guided artificial bee colony algorithm for numerical function optimization (2010) — 1,263 citations
- An information-based sequence distance and its application to whole mitochondrial genome phylogeny (2001) — 565 citations
- Hashing-Based Undersampling Ensemble for Imbalanced Pattern Classification Problems (2020) — 54 citations
- Saving 100x Storage: Prototype Replay for Reconstructing Training Sample Distribution in Class-Incremental Semantic Segmentation (2023) — 37 citations
- PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN With Dual-Discriminators (2023) — 302 citations
- Underwater Image Enhancement via Minimal Color Loss and Locally Adaptive Contrast Enhancement (2022) — 775 citations
- Complementary Incremental Hashing With Query-Adaptive Re-Ranking for Image Retrieval (2020) — 23 citations
- Nested Network With Two-Stream Pyramid for Salient Object Detection in Optical Remote Sensing Images (2019) — 307 citations
- An Underwater Image Enhancement Benchmark Dataset and Beyond (2019) — 2,021 citations
- Efficient Motion and Disparity Estimation Optimization for Low Complexity Multiview Video Coding (2015) — 326 citations
- ESPRIT-Like Two-Dimensional DOA Estimation for Coherent Signals (2010) — 73 citations
- An optimal fuzzy PID controller (2001) — 485 citations