Rameen Abdal
Computer Vision and Pattern Recognition · 2019–2021
A researcher in the Science corpus: 7 papers; trusts 913 researchers and is trusted by 727 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 227 citations into it; #1,570 of 21,575 by trust here, #2,281 by citations
- Generative Models — 186 citations into it; #128 of 1,956 by trust here, #286 by citations
- Artificial Intelligence — 47 citations into it; #34,517 of 35,345 by trust here, #23,731 by citations
- Computer Graphics and Computer-Aided Design — 36 citations into it; #693 of 1,584 by trust here, #526 by citations
- Media Technology — 16 citations into it
- Representation & Self-Supervised Learning — 14 citations into it
- Cognitive Neuroscience — 13 citations into it
- Evaluation & Benchmarks — 12 citations into it
Whom Rameen Abdal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tero Karras
- Diederik P. Kingma
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Karen Simonyan
- Yoshua Bengio
- Jun-Yan Zhu
- Ilya Sutskever
- Alec Radford
Who trusts Rameen Abdal overall
- Yuval Alaluf
- Peihao Zhu
- Yotam Nitzan
- Zongze Wu
- Or Patashnik
- Weihao Xia
- Rinon Gal
- Daniel Cohen-Or
- Chenlin Meng
- Omer Tov
Papers from Rameen Abdal's perspective
Ordered by how strongly the researchers Rameen Abdal 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- GENERATIVE ADVERSARIAL NETS
Their papers
- Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space? (2019) — 1,206 citations
- Image2StyleGAN++: How to Edit the Embedded Images? (2019) — 593 citations
- StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows (2020) — 602 citations
- SEAN: Image Synthesis With Semantic Region-Adaptive Normalization (2019) — 502 citations
- Improved StyleGAN Embedding: Where are the Good Latents? (2020) — 127 citations
- Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networks (2021) — 94 citations
- Labels4Free: Unsupervised Segmentation using StyleGAN (2021) — 88 citations