Sergi Caelles
Computer Vision and Pattern Recognition · 2016–2025
A researcher in the Science corpus: 7 papers; trusts 878 researchers and is trusted by 495 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 153 citations into it; #1,869 of 21,575 by trust here, #2,637 by citations
- Artificial Intelligence — 30 citations into it
- Evaluation & Benchmarks — 15 citations into it
- Model Architectures — 10 citations into it
Whom Sergi Caelles trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Jitendra Malik
- Alex Krizhevsky
- Geoffrey E. Hinton
- Karen Simonyan
- Pablo Arbeláez
- Andrew Zisserman
- Yann LeCun
- Yoshua Bengio
Who trusts Sergi Caelles overall
- Paul Voigtlaender
- Wenguan Wang
- Ho Kei Cheng
- Seoung Wug Oh
- Ning Xu
- Bastian Leibe
- Kevis-Kokitsi Maninis
- Linjie Yang
- Xiankai Lu
- Joon-Young Lee
Papers from Sergi Caelles's perspective
Ordered by how strongly the researchers Sergi Caelles 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- The 2017 DAVIS Challenge on Video Object Segmentation (2017) — 1,603 citations
- One-Shot Video Object Segmentation (2016) — 984 citations
- Deep Extreme Cut: From Extreme Points to Object Segmentation (2017) — 462 citations
- Video Object Segmentation without Temporal Information (2017) — 358 citations
- The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation (2019) — 179 citations
- Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context (2024) — 3,818 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations