Daniel Gatica-Perez

Computer Vision and Pattern Recognition · 2005–2015

A researcher in the Science corpus: 9 papers; trusts 43 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it; #9,987 of 21,575 by trust here, #11,498 by citations
• Artificial Intelligence — 18 citations into it; #22,552 of 35,345 by trust here, #12,580 by citations
• Sociology and Political Science — 16 citations into it
• Social Psychology — 10 citations into it
• Signal Processing — 9 citations into it; #4,672 of 7,572 by trust here, #2,990 by citations
• Natural Language Processing — 7 citations into it
• Statistical and Nonlinear Physics — 7 citations into it
• Aerospace Engineering — 6 citations into it

Whom Daniel Gatica-Perez trusts overall

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

1. Stéphane Dupont
2. Nuria Oliver
3. Elizabeth Shriberg
4. Juergen Luettin
5. Alex Pentland
6. Ashutosh Garg
7. Judee K. Burgoon
8. Norah E. Dunbar
9. M. Schmid Mast
10. Arthur P. Dempster

Who trusts Daniel Gatica-Perez overall

1. Tao A. Xiang
2. M. I. Oluwatoyin P. Popoola
3. Yoshua Bengio
4. Massimiliano Luca
5. Alejandro Jaimes
6. Liangliang Cao
7. Cewu Lu
8. Anna Bosch
9. Stéphane Clinchant
10. Kristen Grauman

Papers from Daniel Gatica-Perez's perspective

Ordered by how strongly the researchers Daniel Gatica-Perez trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet Large Scale Visual Recognition Challenge
4. Long Short-Term Memory
5. Distinctive Image Features from Scale-Invariant Keypoints
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Modeling scenes with local descriptors and latent aspects (2005) — 408 citations
• Automatic analysis of multimodal group actions in meetings (2005) — 416 citations
• Characterizing the Demographics Behind the #BlackLivesMatter Movement (2015) — 55 citations
• Mining large-scale smartphone data for personality studies (2013) — 381 citations
• The Mobile Data Challenge: Big Data for Mobile Computing Research (2012) — 545 citations
• StressSense: detecting stress in unconstrained acoustic environments using smartphones (2012) — 582 citations
• Towards rich mobile phone datasets: Lausanne data collection campaign (2010) — 334 citations
• Automatic nonverbal analysis of social interaction in small groups: A review (2009) — 321 citations
• Semi-supervised adapted HMMs for unusual event detection (2005) — 328 citations