LatinX in CV (LXCV) Research at CVPR 2021

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 virtually on Saturday, June 19th, 2021.

LXAI-CVPR2021.png

CVPR is being hosted virtually in response to COVID-19 concerns.

CALL FOR PARTICIPATION

The workshop is a one-day event with invited speakers, oral presentations, and posters. The event brings together faculty, graduate students, research scientists, and engineers for an opportunity to connect and exchange ideas. There will be a panel discussion and a mentoring session to discuss current research trends and career choices in computer vision. While all presenters will identify primarily as LatinX, all are invited to attend.

HOW TO ATTEND CVPR2021? Please check the instructions on how to attend CVPR2021 and the LXCV Workshop.

If you have any questions about the workshop please check our FAQ here, or email us to: lxai-cvpr-chairs-2021@latinxinai.org


Conference Schedule

Important Dates

  • Full Papers

    • Final Submission Deadline: March 24th

    • Decisions Due: April 9th

    • Camera Ready: April 16th

    • Presentation materials (poster + videos): May 15th

  • Extended Abstracts:

    • Final Submission Deadline: March 31st

    • Decisions Due: April 24th

    • Camera Ready: May 1st (for website information, no official proceedings)

    • Presentation materials (poster + videos): May 15th

  • LatinX Mentoring Program Begins: April 5th

  • Registration Assistance and Internet Support Grant Application: April 30th

  • Presentation Materials, both tracks (poster + videos): May 15th

  • Volunteer Application Deadline: May 20th

  • LatinX in AI Mentoring Program Ends: July 30

  • LXCV Workshop: June 19, 2021

  • Eventbrite Registration


KEYNOTE SPEAKERS

 
CVPR_Keynote Speakers (1).jpg
CVPR_Keynote Speakers (7).png
CVPR_Keynote Speakers (9).png
 
CVPR_Keynote Speakers (6).png
CVPR_Keynote Speakers (8).png
 

ACCEPTED PAPERS

Full Papers

Title Presenting Author Affiliation Presentation Type
Talking with signs: A simple method to detect nouns and numbers in a non-annotated signs language corpus Eric Huiza Pontificia Universidad Catolica del Perú Poster
Assistive Signals for Deep Neural Network Classifiers Camilo Andres Pestana The University of Western Australia Poster
I Only Have Eyes for You: The Impact of Masks On Convolutional-Based Facial Expression Recognition Pablo Barros CONTACT Unit Poster
Generalizable Multi-Camera 3D Pedestrian Detection Joao Lima Universidade Federal de Pernambuco, Universidade Federal Rural de Pernambuco Oral
Filter Distribution Templates in Convolutional Networks for Image Classification Tasks Ramon Izquierdo Cordova University of Bristol Oral
BAOD: Budget-Aware Object Detection Mengmeng Frost Xu King Abdullah University of Science and Technology (KAUST) Oral
On Disentanglement and Mutual Information in Semi-Supervised Variational Auto-Encoders Elliott Gordon-Rodriguez Columbia University Poster
I Find Your Lack of Uncertainty in Computer Vision Disturbing Matias Valdenegro-Toro German Research Center for Artificial Intelligence Oral
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks Cuauhtemoc D Suarez-Ramirez Tecnologico de Monterrey Poster
MarkerPose: Robust Real-time Planar Target Tracking for Accurate Stereo Pose Estimation Jhacson Meza Universidad Tecnológica de Bolívar Oral

Extended Abstracts

Title Presenting Author Affiliation Presentation Type
ProjectionNet and LRNet: Light and Fast ConvNets for Mammography Screening Projections Classification Radames R Ramirez UAG Poster
Scalable Visual Attribute Extraction through Hidden Layers of a Residual ConvNet Andres Baloian DCC-University of Chile Poster
OSCAR and ActivityNet: an Image Captioning model can effectively learn a Video Captioning dataset Emmanuel Byrd Tecnologico de Monterrey Poster
Assessing deep learning methods for the identification of kidney stones composition in endoscopic images Francisco Lopez-Tiro Tecnologico de Monterrey Poster
Mobile Convolutional Neural Network for Neonatal Pain Assessment Lucas P Carlini University Center of FEI Oral
Visual-Syntactic Embedding for Video Captioning Jesus Perez-Martin University of Chile Oral
Explainable, Automated Urban Interventions to Improve Pedestrian and Vehicle Safety Cristina Bustos Universitat Oberta de Catalunya Poster
High-level camera-LiDAR fusion for 3D object detection with machine learning Gustavo A Salazar Universidad Autonoma de Occidente Poster
Improving Domain Generalization using Style Regularization Gustavo Perez University of Massachusetts Amherst Poster
Attention YOLACT++ for real-time instance segmentation of medical instruments in endoscopic procedures Juan Carlos Ángeles-Cerón Tecnologico de Monterrey Oral
Assessing the impact of the loss function, architecture and image type for Deep Learning-based wildfire segmentation Jorge F Ciprián-Sánchez Tecnologico de Monterrey Poster
Machine learning image classification for urban land use using GEOBIA, texture and landscape metrics Ivan E Ruiz University of Texas Oral
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction Techniques Mauricio Mendez Ruiz Tecnologico de Monterrey Poster
Pedestrian Intention Prediction with Multi-Input Concatenation Ankur Singh Moovita Pte. Ltd. & Indian Institute of Technology Kanpur Poster
Underwater Vision-Based Gesture Recognition: Robustness Validation for Safe Human-Robot Interaction Arturo Gomez Chavez Jacobs University Bremen Poster
Absolute Scale Estimation Approach for Monocular Visual Odometry Aldo A Díaz Federal University of Goias Poster
Relative Scale Estimation Approach for Monocular Visual Odometry Aldo A Díaz Federal University of Goias Poster

WORKSHOP SPONSORS

 

PLATINUM

Platinum-Google.png

GOLD

facebook-new.gif
Microsoft-logo_rgb_c-gray.png
high-res science logo.png

BRONZE

 
Apple Logo.jpg
 
Salesforce_Logo_RGB_1797c0_8_13_14.png
 
 
Ghost Logo (2).png
 
Whatever it is, the way you tell your story online can make all the difference.

Whatever it is, the way you tell your story online can make all the difference.

 

 

CALL FOR VOLUNTEERS

LXCV is in need of key support for all the activities that LXAI brings to our community. Volunteers are scheduled as needed for specific roles including registration table, timekeeper, social media liaison, MC, or on-call for 2-4 hour time periods on the day of the workshop. We will require volunteers to help in the organization in the days before the workshop in roles such as advertisement design. We will give priority to registration grants for our volunteers, so we strongly recommend that you apply using the link below.

 

FINANCIAL ASSISTANCE

LatinX in AI is committed to supporting LatinX & hispanic individuals from all around the world. This year since the workshop and CVPR conference will be virtual, we want to ensure that our workshop is accessible to everyone, no matter where they live. As such, we are happy to provide support for registration fees and internet data grants to help those that have financial needs. If you believe you need financial assistance to cover your internet/data expenses or to virtually register to CVPR, please make sure to fill out these applications as accurately and truthfully as possible.

Following the completion of this program, you'll be asked to complete a quick survey about your experience and opportunities for our improvement. Mentors who complete the program and survey are eligible to receive a $25 gift voucher as a token of appreciation on behalf of LatinX in AI.

 

 

MENTORING PROGRAM

LatinX in AI is hosting a mentoring program alongside our official workshops. The LatinX in AI Mentoring Program requires mentors and mentees to meet once a month. Applicants are encouraged to apply before March 5th to participate in the CVPR workshop. The decision of the matched mentors and mentees will be published by March 26th. On the day of the workshop, some mentees will be asked to share their experience and the learnings they obtained from the program.

Important dates:

  • March 12th: Deadline to Apply for the CVPR Mentoring Program (Mentors)

  • March 19th: Deadline to Apply for the CVPR Mentoring Program (Mentees)

  • March 31st: Matching results for Mentee/Mentors will be announced

Following the completion of this program, you'll be asked to complete a quick survey about your experience and opportunities for our improvement. Mentors who complete the program and survey are eligible to receive a $25 gift voucher as a token of appreciation on behalf of LatinX in AI.

ORGANIZERS

 

Workshop Chairs

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

  • Presentation Chairs — Leonardo Neves (Snap Research), Julio Mendoza Bobadilla (UNICAMP)

  • Mentorship Chairs — Paola Cascante (University of Virginia), Pedro Braga (Universidade Federal de Pernambuco), Lourdes Ramirez Cerna (National University of Trujillo)

  • Program Committee Chairs — Victor Escorcia (Samsung), Matias Valdenegro (German Research Center for Artificial Intelligence)

  • Public Relations & Website Chairs — Maria Luisa Santiago (Accel.ai), Fabian Caba Heilbron (Adobe Research), Alejandro Pardo (KAUST)

  • Sponsor & Finance Chair — Cristian Canton Ferrer (Facebook AI), Emmanuel Larussi (CONICET)

  • Volunteer Chair — Cristina Gonzalez (Universidad de Los Andes)

 

Program Committee

  • Ahmad Diab, University of Pittsburgh

  • Alejandro Galindo, Iris Automation

  • Ali Thabet, KAUST

  • Andrea Treviño Gavito, Microsoft

  • Andrés Romero, ETH Zürich

  • Angela Castillo, Universidad de los Andes

  • Ayemya Moe, Project Management Institute

  • Brayan S. Zapata-Impata, Amazon

  • Carlos Miranda, Buawei

  • Carlos Thomaz, FEI

  • Carlos Hinojosa, Universidad Industrial de Santander

  • CJ Barberan, Rice University

  • Claudio Jung, Federal University of Rio Grande do Sul

  • Cristian Rodriguez, University of Adelaide

  • Cynthia Perez Castro, Sonora Institute of Technology (ITSON)

  • Daniel Maturana, Carnegie Mellon University

  • Darwin Saire Pilco, University of Campinas

  • Dennis Núñez-Fernández, Universidad Peruana Cayetano Heredia

  • Du Tran, Facebook AI

  • Eduardo Ulises Moya, Gobierno de Jalisco

  • Erickson Nascimento, UFMG

  • Felipe Codevilla, MILA

  • Francisco Xavier Sumba Toral , Concordia University

  • Gean Pereira, University of São Paulo

  • Gilberto Ochoa-Ruiz, Tec de Monterrey

  • Grigorios Chrysos, École Polytechnique Fédérale de Lausanne

  • Guillaume Jeanneret, Universidad de los Andes

  • Gustavo Perez, University of Massachusetts Amherst

  • Hamid Eghbal-zadeh, LIT AI Lab

  • Haroldo Gomes, Unifesspa

  • Ignacio Rocco, Inria

  • Ivan Sipiran, Department of Computer Science, University of Chile

  • Javier Turek, Intel Labs

  • Jesus Perez-Martin, Department of Computer Science, University of Chile

  • Jhony Giraldo, Univ. La Rochelle

  • Joao Carreira, DeepMind

  • Jorge Sanchez, CONICET

  • Jose Saavedra, Impresee Inc.

  • Jose Delpiano, University of the Andes

  • Jose Oramas, University of Antwerp, imec-IDLab

  • Jose Saavedra, Impresee Inc.

 
  • Josimar Chire, University of Sao Paulo

  • Juan Leon, KAUST

  • Juan Perez, Universidad de los Andes

  • Juan Luis Gonzalez, KAIST-VICLab

  • Julieta Martinez, Uber ATG

  • Kai Chi Chan, Facebook

  • Kuheli Sai, University of Pittsburgh

  • Laura Daza, Universidad de los Andes

  • Laura Bravo-Sánchez, Universidad de los Andes

  • Laura Montoya, Accel AI

  • Lourdes Ramírez Cerna, National University of Trujillo

  • Madian Khabsa, Facebook

  • Manuel Loaiza Fernandez, Universidad Católica San Pablo

  • Maria Pantoja, CalPoly San Luis Obispo

  • Maria Escobar, Universidad de los Andes

  • Matias Valdenegro-Toro, German Research Center for Artificial Intelligence

  • Mattia Soldan, KAUST

  • Mengmeng Xu, KAUST

  • Mohamed Lakhal, Queen Mary University of London

  • Nils Murrugarra-Llerena, Snap Research

  • Núbia Da Silva, Federal University of Goias

  • Olga Bellon, Universidade Federal do Paraná

  • Omar Carmona Cortes, Instituto Federal do Maranhão

  • Omar A. C. Cortes, IFMA

  • Paulo Ambrosio, UESC

  • Peratham Wiriyathammabhum, UMD

  • Rafael Padilha, Universidade Estadual de Campinas

  • Roberto Valerio, Amazon

  • Roberto Lopez-Sastre, University of Alcala

  • Ruben Villegas, Adobe Research

  • Sebastian Otalora, University of Applied Sciences and Arts Western Switzerland

  • Sebastian Palacio, DFKI

  • Sergio Escalera, CVC and University of Barcelona

  • Sergio Hernandez, Universidad Catolica del Maule

  • Shyamal Buch, Stanford University

  • Sirnam Swetha, University of Central Florida

  • Thiago da Silveira, Federal University of Rio Grande do Sul

  • Ujjwal Verma, MIT, MAHE, Manipal

  • Victor Romero Cano, Universidad Autónoma de Occidente

  • Victor Fragoso, Microsoft

  • Zigfried Hampel-Arias, IQT Labs

Become an LXAI Member Today!