Daniel Zoran
Computer Vision and Pattern Recognition · with Aytar · 2023
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 23 citations into it
Whom Daniel Zoran trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
Papers from Daniel Zoran's perspective
Ordered by how strongly the researchers Daniel Zoran trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Human-level control through deep reinforcement learning
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
- Unsupervised Learning of Video Representations using LSTMs
- Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
- Overcoming catastrophic forgetting in neural networks
- Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
- Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
- Progressive Neural Networks
- Masked Autoencoders Are Scalable Vision Learners (Computer Vision and Pattern Recognition)
Their papers
- Learning from One Continuous Video Stream (2023) — 15 citations