LatinX in CV (LXCV) Research at CVPR 2022

This is an official workshop of the LatinX in AI (LXAI) organization, known as LatinX in Computer Vision (LXCV) at CVPR, which will be hosted on Mon, Jun 19, 2022 – Thu, Jun 24, 2022 in New Orleans, Louisiana USA

How to Attend CVPR 2022

REGISTRATION

 

KEYNOTE SPEAKERS

Dra. Petia Radeva is a Full professor at the Universitat de Barcelona (UB), Head of the Consolidated Research Group “Computer Vision and Machine Learning” at the University of Barcelona (CVMLUB) at UB (www.ub.edu/cvmlub), and Senior researcher in Computer Vision Center (www.cvc.uab.es). She is an Associate Editor of Pattern Recognition Journal and the International Journal of Visual Communication and Image Representation. She is a Research Manager of the State Agency of Research (Agencia Estatal de Investigación, AEI) of the Ministry of Science and Innovation of Spain. Petia Radeva belongs to the top 2% of the World ranking of scientists with the major impact in the field of TIC according to the citations indicators of the popular ranking of Stanford. Moreover, she was awarded IAPR Fellow in 2015, ICREA Academia assigned to the 30 best scientists in Catalonia for her scientific merits in 2014, and received several international awards (“Aurora Pons Porrata” of CIARP, Prize “Antonio Caparrós” for the best technology transfer of UB, etc).

 

Vicente Ordóñez-Román is an Associate Professor in the Department of Computer Science at Rice University and an Amazon Visiting Academic at Amazon Alexa AI. His research interests lie at the intersection of computer vision, natural language processing, and machine learning. His focus is on building efficient visual recognition models that can perform tasks that leverage both images and text. He is a recipient of a Best Paper Award at the conference on Empirical Methods in Natural Language Processing (EMNLP) 2017 and the Best Paper Award -- Marr Prize -- at the International Conference on Computer Vision (ICCV) 2013. He has also received an NSF CAREER Award and research awards from IBM, Google, and Facebook.

Jose Martinez-Carranza is a Full-Time Principal Researcher B (equivalent to Associate Professor) in the Computer Science Department at the Instituto Nacional de Astrofisica Optica y Electronica (INAOE). In 2015, he was awarded the highly prestigious Newton Advanced Fellowship. Currently, he holds an Honorary Senior Research Fellowship in the Computer Science Department at the University of Bristol in the UK. He leads a research team that has won international competitions such as 1st Place in the IEEE IROS 2017 Autonomous Drone Racing competition and 1st Place in the Regional Prize of the OpenCV AI Competition 2021. In 2021, he served as General Chair of the International Micro Air Vehicle conference, the IMAV 2021. His research focuses on vision-based methods for robotics, such as visual SLAM, visual odometry, camera pose estimation, among others, with applications in autonomous and intelligent drones.

TUTORIAL SPEAKER

Dr. Xinchen Yan has been a Senior Research Scientist at Waymo Research since March 2021. At Waymo, Xinchen has been conducting research in the intersection of machine learning, simulation, and perception, in collaboration with Alphabet researchers. Previously, Xinchen was a senior AI research scientist at Uber Advanced Technologies Group (ATG) from 2019 to 2021. His past work include 3D content synthesis, image and video editing, adversarial robustness, and agent behavior prediction in the autonomous driving domain, in close collaboration with Chief Science Professor Raquel Urtasun. Before joining Uber, he obtained his PhD degree at University of Michigan in July 2019. During his PhD study, he has been primarily working on deep representation learning and generative modeling with structured and multi-modal data, advised by Professor Honglak Lee.

Besides, he has a broad range of interests in developing deep generative models for vision, graphics, and robotics applications. He has served as a reviewer for top-tier conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, SIGGRAPH, ICRA, CoRL and international journals such as PAMI and TIP. He has also spent his time working at Adobe Research, Google Brain Team, Google X Robotics Team, and Rapid-Rich Object Search Lab (Singapore). He is the recipient of Adobe Research Fellowship and Google Ph.D. Fellowship in Year 2018. He received his B.S. degree in Computer Science (ACM Honored Class) from Shanghai Jiao Tong University (SJTU) in June 2014. 

ACCEPTED PAPERS

Full Papers

Title Presenting Author Affiliation Presentation Type
Guided Deep Metric Learning Jorge E Gonzalez Zapata CINVESTAV Oral
Generative Flows as a General Purpose Solution for Inverse Problems José A. Chávez Universidad Católica San Pablo Oral
Self-supervised Learning for Sonar Image Classification Alan Preciado Grijalva Hochschule Bonn-Rhein-Sieg Oral
A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement Daniel Alcides Saromo Mori PUCP Oral
Unpaired Faces to Cartoons: Improving XGAN Alejandro B Jimenez Panta Pontifical Catholic University of Peru Oral

Extended Abstracts

Title Presenting Author Affiliation Presentation Type
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification Francisco Lopez-Tiro Tecnológico de Monterrey Poster
Real-world multiclass land cover analysis and classification using a novel lightweight convnet Eduardo Ulises Moya Gobierno de Jalisco Poster
Retinal vessel Deep Learning segmentation comparison Daniela Herrera Montes de Oca ITESM Poster
Compressive Single-Photon 3D Cameras Felipe Gutierrez-Barragan University of Wisconsin-Madison Poster
Pattern Based Multivariable Regression using Deep Learning (PBMR-DP) Jiztom Kavalakkatt Francis Iowa State University Poster
Hair removal in dermoscopic images using deep multitask learning Lidia Talavera-Martínez University of the Balearic Islands Poster
DI-PixCar: Single Snapshot Compressive Spectral Depth Imaging via pixeled carrier Kevin Arias Universidad Industrial de Santander Poster
Hierarchical Compressed Subspace Clustering of Infrared Single-pixel Measurements Carlos Hinojosa Universidad Industrial de Santander Poster
Towards fast ego-motion estimation using a two-stream network Jose Arturo Cocoma-Ortega INAOE Poster
Comparing fusion strategies for kidney stone composition identification Elias A Villalvazo Tecnológico de Monterrey Poster
TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification Andrés Villa Pontificia Universidad Católica de Chile Poster
Interpretable deep learning classifier by detection of prototypical parts on kidney stones images Daniel Flores Araiza ITESM Poster
Improving Pavement and Concrete Crack Detection Through Synthetic Data Generation Rodrigo Rill-García Université Gustave Eiffel Poster
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis Nicolás Gaggion CONICET Poster
DRNet-Q: A lightweight ConvNet for image quality classification for diabetic retinopathy screening German Pinedo CINVESTAV UNIDAD GUADALAJARA Poster
Artificial Intelligent System for Shoe Last Personalization Ricardo C. Villarreal-Calva Instituto Politécnico Nacional Poster
SimVQA: Exploring Simulated Environments for Visual Question Answering Paola Cascante-Bonilla Rice University Poster
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions Mattia Soldan KAUST Poster
Combating Adversaries with Anti-Adversaries Juan C Perez KAUST Poster
Real-Time Mexican Sign Language Interpretation Using CNN and HMM Jairo Enrique Ramírez Sánchez Tecnológico de Monterrey Poster
Exploring the use of line segments as an intermediate representation for depth estimation from a single image in indoor environments Jose G Nava Zavala INAOE Poster

Program Committee

Adel Bibi

Andres Romero

Andrés Villa

Brayan S Zapata-Impata

Carlos Thomaz

Cristina González

Claudio Jung

Cynthia Perez Castro

Dennis Núñez-Fernández

Eduardo Ulises Moya

Erickson R Nascimento

Eric K Tokuda

Estefania Talavera

Fabian Caba

Guillaume Jeanneret

Joao Carreira

Jorge Sanchez

Jordi Pont-Tuset

Jose Delpiano

Juan C Leon

Juan Luis Gonzalez

Kai Chi Chan

Laura Daza

Laura Montoya

Leonardo F R Ribeiro

Manuel Loaiza Fernandez

Maria C Escobar

Matheus A Gadelha

Matias Valdenegro Toro

Mattia Soldan

Miguel Gonzalez-Mendoza

 

Nils Murrugarra-Llerena

Paola Cascante-Bonilla

Roberto Javier Lopez-Sastre

Sandra Avila

Shyamal Buch

Silvio Giancola

Thiago L. T. da Silveira

Ujjwal Verma

Akshay R Kulkarni

Andrés Jerez

Angela Castillo

CJ Barberan

Cristian Rodriguez

Deisy Chaves

Gilberto Ochoa-Ruiz

Jeffri Murrugarra Llerena

Jesús García-Ramírez

Jhon E Lopez

Jhony H Giraldo

John J Sanabria

Jonathan Arley Monsalve

Kalpathy Sitaraman

Karen Sánchez

Kevin Arias

María Leyva-Vallina

Miguel Marquez

Rodolfo Valiente

Sara Rojas Martinez

Yuwei Sun

ORGANIZERS

Workshop Chairs

  • Operation and Logistics Chairs — Nils Murrugarra (Snap Research), Gilberto Ochoa-Ruiz (Tecnologico de Monterrey), Estefania Talavera (University of Twente)

    Presentation Chairs — Ruben Villegas (Google), Julio Mendoza (University of Campinas)

    Mentorship Chairs — Pedro Braga (Universidade Federal de Penambuco) , Paola Cascante (Rice University)

    Program Committee Chairs — Victor Escorcia (Samsung), Ivan Sipiran (University of Chile), Carlos Hinojosa (Universidad Industrial de Santander)

    Public Relations & Website Chairs — Maria Luisa Santiago (Accel.ai), Walter Mayor-Toro (Universidad Autonoma de Occidente), Karen Sanchez (Universidad Industrial de Santander)

    Sponsor & Finance Chair — Karina Rub Pérez Daniel (Universidad Panamericana), Eric K. Tokuda (University of Oxford)

    Volunteer Chair — Rodolfo Valiente Romero (University of Central Florida)

    Visa Chair — Pablo Rivas (Baylor University), Miguel Gonzalez (Tecnologico de Monterrey)

 


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