Evangelos Kazakos
Computer Vision and Pattern Recognition · 2018–2020
A researcher in the Science corpus: 5 papers; trusts 549 researchers and is trusted by 112 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 261 citations into it; #3,130 of 21,575 by trust here, #3,875 by citations
- Artificial Intelligence — 133 citations into it; #22,147 of 35,345 by trust here, #16,771 by citations
- Representation & Self-Supervised Learning — 39 citations into it
- Multimodal Learning — 36 citations into it; #726 of 1,211 by trust here, #821 by citations
- Natural Language Processing — 21 citations into it
- Model Architectures — 14 citations into it
- Optimization & Training — 10 citations into it
- Information Retrieval & Search — 6 citations into it
Whom Evangelos Kazakos trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Zisserman
- Kaiming He
- Karen Simonyan
- Sergey Ioffe
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- Christian Szegedy
- Yoshua Bengio
- Diederik P. Kingma
Who trusts Evangelos Kazakos overall
- Mirco Planamente
- Chiara Plizzari
- Antonino Furnari
- Kristen Grauman
- Weiyao Wang
- Yanghao Li
- Tushar Nagarajan
- Yi Cheng
- Dima Damen
- Zehua Sun
Papers from Evangelos Kazakos's perspective
Ordered by how strongly the researchers Evangelos Kazakos 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- 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
- Scaling Egocentric Vision: The EPIC-KITCHENS Dataset (2018) — 1,366 citations
- EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition (2019) — 403 citations
- The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines (2020) — 366 citations
- Scaling Egocentric Vision: The Dataset (2018) — 72 citations
- Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100 (2020) — 719 citations