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Juergen Gall

Showing results (1-10 of 13) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|December 16, 2021
Rethinking 3-D LiDAR Point Cloud SegmentationShijie Li, Yun Liu, Juergen Gall
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 25, 2018
A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action SegmentationHilde Kuehne, Alexander Richard, Juergen Gall
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 13, 2018
Open Set Domain Adaptation for Image and Action RecognitionPau Panareda Busto, Ahsan Iqbal, Juergen Gall
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 22, 2025
ADA-Track++: End-to-End Multi-Camera 3D Multi-Object Tracking With Alternating Detection and AssociationShuxiao Ding, Lukas Schneider, Marius Cordts, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 16, 2010
Combined region and motion-based 3D tracking of rigid and articulated objectsThomas Brox, Bodo Rosenhahn, Juergen Gall, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
Body Parts Dependent Joint Regressors for Human Pose Estimation in Still ImagesMatthias Dantone, Juergen Gall, Christian Leistner, et al.
International Journal of Computer Vision|April 20, 2026
Distillation-free Scaling of Large State-Space Models for Images and VideosHamid Suleman, Syed Talal Wasim, Muzammal Naseer, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 6, 2016
Incremental Learning of Random Forests for Large-Scale Image ClassificationMarko Ristin, Matthieu Guillaumin, Juergen Gall, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 14, 2021
Fast Weakly Supervised Action Segmentation Using Mutual ConsistencyYaser Souri, Mohsen Fayyaz, Luca Minciullo, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 6, 2011
Hough forests for object detection, tracking, and action recognitionJuergen Gall, Angela Yao, Nima Razavi, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Neural Networks and Learning Systems|December 16, 2021
Rethinking 3-D LiDAR Point Cloud SegmentationShijie Li, Yun Liu, Juergen Gall
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 25, 2018
A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action SegmentationHilde Kuehne, Alexander Richard, Juergen Gall
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 13, 2018
Open Set Domain Adaptation for Image and Action RecognitionPau Panareda Busto, Ahsan Iqbal, Juergen Gall
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 22, 2025
ADA-Track++: End-to-End Multi-Camera 3D Multi-Object Tracking With Alternating Detection and AssociationShuxiao Ding, Lukas Schneider, Marius Cordts, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 16, 2010
Combined region and motion-based 3D tracking of rigid and articulated objectsThomas Brox, Bodo Rosenhahn, Juergen Gall, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
Body Parts Dependent Joint Regressors for Human Pose Estimation in Still ImagesMatthias Dantone, Juergen Gall, Christian Leistner, et al.
International Journal of Computer Vision|April 20, 2026
Distillation-free Scaling of Large State-Space Models for Images and VideosHamid Suleman, Syed Talal Wasim, Muzammal Naseer, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 6, 2016
Incremental Learning of Random Forests for Large-Scale Image ClassificationMarko Ristin, Matthieu Guillaumin, Juergen Gall, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 14, 2021
Fast Weakly Supervised Action Segmentation Using Mutual ConsistencyYaser Souri, Mohsen Fayyaz, Luca Minciullo, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 6, 2011
Hough forests for object detection, tracking, and action recognitionJuergen Gall, Angela Yao, Nima Razavi, et al.
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