Cosmin Ancuți
Computer Vision and Pattern Recognition · 2012–2020
A researcher in the Science corpus: 8 papers; trusts 385 researchers and is trusted by 43 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 169 citations into it; #3,846 of 21,575 by trust here, #5,565 by citations
- Media Technology — 92 citations into it; #395 of 3,621 by trust here, #620 by citations
- Atomic and Molecular Physics, and Optics — 26 citations into it
- Computer Graphics and Computer-Aided Design — 14 citations into it
- Evaluation & Benchmarks — 10 citations into it
Whom Cosmin Ancuți trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Raanan Fattal
- Zhou Wang
- A. Bovik
- Jean-Philippe Tarel
- Kaiming He
- Srinivasa G. Narasimhan
- Codruta Orniana Ancuti
- Mohinder Malhotra
- Robby T. Tan
- David G. Lowe
Who trusts Cosmin Ancuți overall
- Codruta Orniana Ancuti
- Chongyi Li
- Deniz Engin
- Dana Berman
- Radu Timofte
- Peixian Zhuang
- Runmin Cong
- Yuda Song
- Lintao Peng
- Yan-Tsung Peng
Papers from Cosmin Ancuți's perspective
Ordered by how strongly the researchers Cosmin Ancuți 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)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Long Short-Term Memory
Their papers
- O-HAZE: A Dehazing Benchmark with Real Hazy and Haze-Free Outdoor Images (2018) — 704 citations
- Single Image Dehazing by Multi-Scale Fusion (2013) — 665 citations
- I-HAZE: a dehazing benchmark with real hazy and haze-free indoor images (2018) — 465 citations
- Enhancing underwater images and videos by fusion (2012) — 1,107 citations
- NH-HAZE: An Image Dehazing Benchmark with Non-Homogeneous Hazy and Haze-Free Images (2020) — 475 citations
- Dense-Haze: A Benchmark for Image Dehazing with Dense-Haze and Haze-Free Images (2019) — 474 citations
- Color Balance and Fusion for Underwater Image Enhancement (2018) — 1,171 citations
- D-HAZY: A dataset to evaluate quantitatively dehazing algorithms (2016) — 338 citations