Tiberiu Popa
Computer Vision and Pattern Recognition · 2010–2022
A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 22 citations into it; #14,842 of 21,575 by trust here, #8,831 by citations
Whom Tiberiu Popa trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Tiberiu Popa overall
Papers from Tiberiu Popa's perspective
Ordered by how strongly the researchers Tiberiu Popa trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- GENERATIVE ADVERSARIAL NETS
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
Their papers
- CLIP-Mesh: Generating textured meshes from text using pretrained image-text models (2022) — 362 citations
- High resolution passive facial performance capture (2010) — 309 citations