Information Processing Lab
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- Seattle, WA
- https://ipl-uw.github.io/
- iplab.uw@gmail.com
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AIC23_Track1_UWIPL_ETRI
AIC23_Track1_UWIPL_ETRI PublicOfficial repository of the 1st place solution for the 7th NVIDIA AI City Challenge (2023) Track 1: Multi-Camera People Tracking
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ZeDO-Release
ZeDO-Release PublicThis is the official implementation of "Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose Estimation"
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2019-CVPR-AIC-Track-2-UWIPL
2019-CVPR-AIC-Track-2-UWIPL PublicRepository for 2019 CVPR AI City Challenge Track 2 from IPL@UW
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2019-CVPR-AIC-Track-1-UWIPL
2019-CVPR-AIC-Track-1-UWIPL PublicRepository for 2019 CVPR AI City Challenge Track 1 from IPL@UW
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2019-CVPR-AIC-Track-3-UWIPL
2019-CVPR-AIC-Track-3-UWIPL PublicRepository for 2019 CVPR AI City Challenge Track 3 from IPL@UW
Repositories
- ZeDO-Release Public
This is the official implementation of "Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose Estimation"
ipl-uw/ZeDO-Release’s past year of commit activity - ToddlerAct Public
ipl-uw/ToddlerAct’s past year of commit activity - icpr-multi-modal-tracking-challenge Public Forked from facebookresearch/sam2
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
ipl-uw/icpr-multi-modal-tracking-challenge’s past year of commit activity - YoutubeFish-35 Public
ipl-uw/YoutubeFish-35’s past year of commit activity - AIC23_Track1_UWIPL_ETRI Public
Official repository of the 1st place solution for the 7th NVIDIA AI City Challenge (2023) Track 1: Multi-Camera People Tracking
ipl-uw/AIC23_Track1_UWIPL_ETRI’s past year of commit activity
