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Join us at #ICCV2023 in Paris for the inaugural workshop on Robust Computer Vision Across Geographies, which includes keynotes by an exciting line-up of speakers, and oral talks by the winners of the GeoNet domain adaptation challenge! Website: geonet-challenge.github.io/ICCV2023/
The test-set for the #GeoNet challenge has been released, and the submission portal for the challenge is now active! Registration Link: forms.gle/zSZA1iaPD3mZxj… Leaderboard: eval.ai/web/challenges… The deadline for the submission is September 5th. #ICCV2023
📢 Excited to announce the inaugural #ICCV2023 workshop on geographical robustness featuring keynotes from great line-up of speakers along with new challenge on the #GeoNet dataset for geographical adaptation. Workshop Website: geonet-challenge.github.io/ICCV2023/ Challenge Deadline: Aug 20.
The GeoNet dataset will be presented at #CVPR2023 during the Wed PM poster session (#287), do drop by to know more about the efforts to improve geographical robustness of vision models @ViLabUCSD. Paper Webpage: tarun005.github.io/GeoNet/
I will be at #CVPR2023 to present my work on GeoNet and share my research on domain adaptation and robustness. Do come to poster#287 on Wed (06/21) and say hi! Excited to meet old friends and and make new ones! @ucsd_cse @manu_chandraker @CVPR
Check out our new #CVPR2023 paper and dataset GeoNet, that explores challenges for robust and fair computer vision across geographies! Webpage: tarun005.github.io/GeoNet/ PDF: arxiv.org/abs/2303.15443 Work done by @tarun_05, wangdong_xu and @manu_chandraker at @ucsd_cse.
Do vision models transfer well to geographies that are under-represented in the training set? We study this problem in our #CVPR2023 paper, and introduce GeoNet to study cross-geography robustness in vision. paper: arxiv.org/abs/2303.15443 webpage: tarun005.github.io/GeoNet/
Delighted to receive the Best Paper Honorable Mention @eccvconf #ECCV2022 for Neural Implicit Evolution, together with @ishit_mehta and Ravi Ramamoorthi @ucsd_cse @UCSanDiego @ViLabUCSD Code and webpage: ishit.github.io/nie/
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