Sergio Escalera

Computer Vision and Pattern Recognition · 2010–2021

A researcher in the Science corpus: 25 papers; trusts 1,349 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Computer Vision and Pattern Recognition — 668 citations into it; #5,179 of 21,575 by trust here, #3,280 by citations
Artificial Intelligence — 366 citations into it; #20,712 of 35,345 by trust here, #11,192 by citations
Human-Computer Interaction — 151 citations into it; #257 of 2,253 by trust here, #134 by citations
Biomedical Engineering — 126 citations into it
Model Architectures — 79 citations into it
Experimental and Cognitive Psychology — 59 citations into it; #7,646 of 9,731 by trust here, #5,545 by citations
Signal Processing — 58 citations into it; #3,799 of 7,572 by trust here, #4,560 by citations
Evaluation & Benchmarks — 53 citations into it; #2,552 of 3,147 by trust here, #2,275 by citations

Whom Sergio Escalera trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

Who trusts Sergio Escalera overall

Papers from Sergio Escalera's perspective

Ordered by how strongly the researchers Sergio Escalera 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
Gradient-based learning applied to document recognition
Long Short-Term Memory
Attention is All you Need (Neural Information Processing Systems)
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

Multi-modal gesture recognition challenge 2013: dataset and results (2013) — 206 citations
ChaLearn Looking at People Challenge 2014: Dataset and Results (2014) — 239 citations
Automatic mutual gaze detection in face-to-face dyadic interaction videos (2018) — 15 citations
ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016 (2016) — 107 citations
ChaLearn looking at people: A review of events and resources (2017) — 41 citations
Explainable and Interpretable Models in Computer Vision and Machine Learning (2017) — 117 citations
Challenges in multimodal gesture recognition (2016) — 76 citations
A Survey on Deep Learning Based Approaches for Action and Gesture Recognition in Image Sequences (2017) — 167 citations
Survey on Emotional Body Gesture Recognition (2018) — 412 citations
Sign Language Recognition: A Deep Survey (2021) — 486 citations
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge (2021) — 467 citations
CASIA-SURF: A Large-Scale Multi-Modal Benchmark for Face Anti-Spoofing (2019) — 203 citations
Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions (2019) — 428 citations
Analysis of the AutoML Challenge Series 2015-2018 (2019) — 189 citations
Beyond One-hot Encoding: lower dimensional target embedding (2018) — 441 citations
RGB-D-based Human Motion Recognition with Deep Learning: A Survey (2017) — 384 citations
Visualizing Apparent Personality Analysis with Deep Residual Networks (2017) — 21 citations
ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview (2016) — 89 citations
A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention (2016) — 84 citations
Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-related Applications (2016) — 510 citations