Adel Bibi
Computer Vision and Pattern Recognition · 2018–2024
A researcher in the Science corpus: 3 papers; trusts 339 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 96 citations into it; #9,573 of 21,575 by trust here, #8,952 by citations
- Artificial Intelligence — 74 citations into it
- Meta & Continual Learning — 47 citations into it
- Representation & Self-Supervised Learning — 20 citations into it
Whom Adel Bibi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Martin Danelljan
- Ross B. Girshick
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
- João F. Henriques
- Karen Simonyan
Who trusts Adel Bibi overall
- Martin Danelljan
- Xin Chen
- Heng Fan
- Goutam Bhat
- Fredrik K. Gustafsson
- Ning Wang
- Liting Lin
- Bin Yan
- Senthil Purushwalkam
- Jiawen Zhu
Papers from Adel Bibi's perspective
Ordered by how strongly the researchers Adel Bibi 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
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
Their papers
- TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild (2018) — 1,118 citations
- Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation (2024) — 8 citations
- Computationally Budgeted Continual Learning: What Does Matter? (2023) — 90 citations