Yossi Gandelsman
Computer Vision and Pattern Recognition · 2018–2022
A researcher in the Science corpus: 5 papers; trusts 744 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 156 citations into it
- Artificial Intelligence — 68 citations into it
- Generative Models — 49 citations into it
- Media Technology — 21 citations into it
- Model Architectures — 16 citations into it
- Evaluation & Benchmarks — 13 citations into it
- Biophysics — 11 citations into it
- Computer Graphics and Computer-Aided Design — 10 citations into it
Whom Yossi Gandelsman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Karen Simonyan
- Ross B. Girshick
- Yoshua Bengio
- Yann LeCun
- Andrew Zisserman
- Ilya Sutskever
Who trusts Yossi Gandelsman overall
- Liyue Shen
- Yunpeng Chen
- Boyun Li
- Dongwei Ren
- Yuanbiao Gou
- John M. Pauly
- Kai Zhang
- Robin Rombach
- Chen Gao
- Sosuke Kobayashi
Papers from Yossi Gandelsman's perspective
Ordered by how strongly the researchers Yossi Gandelsman 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- 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
- Deep ViT Features as Dense Visual Descriptors (2021) — 415 citations
- Semantic Pyramid for Image Generation (2020) — 58 citations
- Visual Prompting via Image Inpainting (2022) — 324 citations
- Explaining in Style: Training a GAN to explain a classifier in StyleSpace (2021) — 184 citations
- “Double-DIP”: Unsupervised Image Decomposition via Coupled Deep-Image-Priors (2018) — 367 citations