Workshop
LatinX in Computer Vision Research Workshop
Lidia Talavera-Martínez · Willams De Lima
Wed 11 Jun 6 a.m. PDT — 10:30 a.m. PDT
Though start and end times here are correct, detailed schedules here may not be complete or up to date. Please be sure to cross reference the workshop's website to verify workshop schedule details if they are available on the workshop's website. (Added by CVPR.)
This workshop aims to promote and increase the participation of the LatinX community in Computer Vision. The workshop will provide a platform for LatinX researchers at all levels to share academic, industrial, cultural, and social challenges; highlight prominent LatinX researchers and allies; offer resources and opportunities for career growth through sponsored registrations, mentoring, and resume sharing; and raise the visibility of women researchers within the LatinX community. While the event focuses primarily on researchers who identify as LatinX, everyone is invited to attend.
Schedule
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NExNet Seg: Neuron Expansion Network for Medical Image Segmentation
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Paper
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Abel Andres Reyes · Sidike Paheding 🔗 |
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HeAL3D: Heuristical---enhanced Active Learning for 3D Object Detection
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Paper
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Esteban Guerrero Guerrero · Surya Prabhakaran · Markus Lienkamp 🔗 |
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Scaling laws in zero-shot gender classification using CLIP
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Paper
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Lucas Ceschini · Gabriel Ramos · Claudio Jung 🔗 |
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Emotions in LatAm: A new dataset and benchmark for emotion recognition in Latin America
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Paper
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Pooja Kishore Kumar · Willams De Lima · Renato Nogueira Ferraz e Oliveira · Veronica Teichrieb · Estefanía Talavera 🔗 |
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Towards Faster and More Compact Foundation Models for Molecular Property Prediction
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Paper
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Yasir Ghunaim · Andrés Villa · Gergo Ignacz · Gyorgy Szekely · Motasem Alfarra · Bernard Ghanem 🔗 |
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Enhancing Vision Transformer Explainability Using Artificial Astrocytes
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Paper
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Nicolas Echevarrieta-Catalan · Ana Ribas-Rodriguez · Francisco Cedron · Odelia Schwartz · Vanessa Aguiar-Pulido 🔗 |
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PineSORT: A Simple Online Real-time Tracking Framework for Drone Videos in Agriculture
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Paper
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Danny Xie-Li · Fabian Fallas-Moya 🔗 |
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Slot Attention-based Feature Filtering for Few-Shot Learning
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Paper
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Javier Ródenas · Petia Radeva · Eduardo Aguilar Torres 🔗 |