D'idac Sur'is
Computer Vision and Pattern Recognition · 2018–2025
A researcher in the Science corpus: 7 papers; trusts 755 researchers and is trusted by 321 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 211 citations into it; #2,257 of 21,575 by trust here, #1,637 by citations
- Artificial Intelligence — 185 citations into it; #2,730 of 35,345 by trust here, #2,545 by citations
- Multimodal Learning — 83 citations into it; #627 of 1,211 by trust here, #714 by citations
- Representation & Self-Supervised Learning — 44 citations into it; #369 of 3,145 by trust here, #320 by citations
- Natural Language Processing — 42 citations into it
- Signal Processing — 35 citations into it; #3,969 of 7,572 by trust here, #2,114 by citations
- Model Architectures — 28 citations into it
- Speech & Audio — 24 citations into it
Whom D'idac Sur'is trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Yann LeCun
- Ross B. Girshick
- Karen Simonyan
- Andrew Zisserman
Who trusts D'idac Sur'is overall
- Zixuan Ke
- Gyuhak Kim
- Rahaf Aljundi
- Bing Liu
- Tinne Tuytelaars
- Jaehong Yoon
- Gobinda Saha
- Matthias De Lange
- David F. Harwath
- Matteo Boschini
Papers from D'idac Sur'is's perspective
Ordered by how strongly the researchers D'idac Sur'is 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- 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
- Overcoming catastrophic forgetting with hard attention to the task (2018) — 1,304 citations
- ViperGPT: Visual Inference via Python Execution for Reasoning (2023) — 823 citations
- Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input (2018) — 213 citations
- Learning to Learn Words from Visual Scenes (2019) — 13 citations
- SAM 3: Segment Anything with Concepts (2025) — 636 citations
- Revealing Occlusions with 4D Neural Fields (2022) — 24 citations
- Learning Words by Drawing Images (2019) — 9 citations