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.
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
KEYNOTE SPEAKERS
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
GOLD
BRONZE
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