Tali Treibitz
Computer Vision and Pattern Recognition · 2009–2019
A researcher in the Science corpus: 5 papers; trusts 78 researchers and is trusted by 50 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 54 citations into it; #3,692 of 21,575 by trust here, #6,371 by citations
- Media Technology — 35 citations into it; #726 of 3,621 by trust here, #1,696 by citations
- Atomic and Molecular Physics, and Optics — 15 citations into it
Whom Tali Treibitz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoav Y. Schechner
- Raanan Fattal
- Robby T. Tan
- Mohinder Malhotra
- Nir Karpel
- John Yi-Wu Chiang
- Srinivasa G. Narasimhan
- Dana Berman
- Nicholas Carlevaris-Bianco
- Codruta Orniana Ancuti
Who trusts Tali Treibitz overall
- Codruta Orniana Ancuti
- Chongyi Li
- Wenqi Ren
- Derya Akkaynak
- Cosmin Ancuți
- Raimondo Schettini
- Chunle Guo
- Risheng Liu
- Dana Berman
- M. Islam
Papers from Tali Treibitz's perspective
Ordered by how strongly the researchers Tali Treibitz trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Distinctive Image Features from Scale-Invariant Keypoints
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Non-local Image Dehazing (2016) — 1,515 citations
- A Revised Underwater Image Formation Model (2018) — 430 citations
- Active Polarization Descattering (2009) — 444 citations
- Sea-Thru: A Method for Removing Water From Underwater Images (2019) — 489 citations
- Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset (2018) — 667 citations