Alexandru Cristian Telea
Computer Vision and Pattern Recognition · 2004–2019
A researcher in the Science corpus: 6 papers; trusts 132 researchers and is trusted by 83 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 90 citations into it; #3,229 of 21,575 by trust here, #9,079 by citations
- Artificial Intelligence — 46 citations into it; #26,713 of 35,345 by trust here, #20,377 by citations
- Representation & Self-Supervised Learning — 39 citations into it
- Computational Mechanics — 29 citations into it
- Computer Graphics and Computer-Aided Design — 21 citations into it; #63 of 1,584 by trust here, #746 by citations
- Computational Theory and Mathematics — 12 citations into it
- Evaluation & Benchmarks — 9 citations into it
- Optimization & Training — 9 citations into it
Whom Alexandru Cristian Telea trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Marcelo Bertalmío
- Yoshua Bengio
- L. V. D. van der Maaten
- M. M. O. Neto
- Yann LeCun
- Radford M. Neal
- Ilya Sutskever
- Diederik P. Kingma
Who trusts Alexandru Cristian Telea overall
- Weiwei Cai
- Christine M. Guillemot
- Satoshi Iizuka
- Supasorn Suwajanakorn
- Alexandre Boulch
- Rolf Köhler
- Jacob Hoxbroe Jeppesen
- Yasuyuki Matsushita
- Lukas Höllein
- Jingyu Yang
Papers from Alexandru Cristian Telea's perspective
Ordered by how strongly the researchers Alexandru Cristian Telea 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- An Image Inpainting Technique Based on the Fast Marching Method (2004) — 1,556 citations
- Visualizing the Hidden Activity of Artificial Neural Networks (2017) — 311 citations
- Toward a Quantitative Survey of Dimension Reduction Techniques (2019) — 346 citations
- Deep learning multidimensional projections (2019) — 78 citations
- 3D Skeletons: A State‐of‐the‐Art Report (2016) — 296 citations
- Data Visualization : Principles and Practice (2007) — 299 citations