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ORCIDJuergen Gall
Jürgen Gall
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- affiliation: ETH Zurich, Computer Vision Laboratory, Switzerland
- affiliation: Max Planck Institute for Informatics, Saarbrücken, Germany
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2020 – today
- 2023
[j34]Christian Bauckhage, Wolfgang Förstner, Juergen Gall, Michael Möller, Alexander G. Schwing:
Preface to the Special Issue on Pattern Recognition (DAGM GCPR 2021). Int. J. Comput. Vis. 131(5): 1210 (2023)- [j33]Ankit Patnala
, Scarlet Stadtler, Martin G. Schultz, Juergen Gall:
Generating Views Using Atmospheric Correction for Contrastive Self-Supervised Learning of Multispectral Images. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j32]Shijie Li, Yazan Abu Farha, Yun Liu, Ming-Ming Cheng, Juergen Gall:
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6647-6658 (2023) - [j31]Mohamad Hakam Shams Eddin, Ribana Roscher, Juergen Gall:
Location-Aware Adaptive Normalization: A Deep Learning Approach for Wildfire Danger Forecasting. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [c150]Olga Zatsarynna, Juergen Gall:
Action Anticipation with Goal Consistency. ICIP 2023: 1630-1634 - [c149]Ankit Patnala, Scarlet Stadtler, Martin G. Schultz, Juergen Gall:
Multi-Modal Self-Supervised Learning for Boosting Crop Classification Using Sentinel2 and Planetscope. IGARSS 2023: 2223-2226 - [c148]Peizheng Li, Shuxiao Ding, Xieyuanli Chen, Niklas Hanselmann, Marius Cordts, Juergen Gall:
PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View. IJCAI 2023: 1080-1088 - [c147]Jürgen Gall:
Efficient CNNs and Transformers for Video Understanding and Image Synthesis. ICMR 2023: 670 - [c146]Christian Grund, Julian Tanke, Juergen Gall:
ElliPose: Stereoscopic 3D Human Pose Estimation by Fitting Ellipsoids. WACV 2023: 2870-2880 - [c145]Vadim Sushko, Dan Zhang, Juergen Gall, Anna Khoreva:
One-Shot Synthesis of Images and Segmentation Masks. WACV 2023: 6274-6283 - [e10]Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13841, Springer 2023, ISBN 978-3-031-26318-7 [contents] - [e9]Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13842, Springer 2023, ISBN 978-3-031-26283-8 [contents] - [e8]Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13843, Springer 2023, ISBN 978-3-031-26312-5 [contents] - [e7]Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part IV. Lecture Notes in Computer Science 13844, Springer 2023, ISBN 978-3-031-26315-6 [contents] - [e6]Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part V. Lecture Notes in Computer Science 13845, Springer 2023, ISBN 978-3-031-26347-7 [contents] - [e5]Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part VI. Lecture Notes in Computer Science 13846, Springer 2023, ISBN 978-3-031-26350-7 [contents] - [e4]Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part VII. Lecture Notes in Computer Science 13847, Springer 2023, ISBN 978-3-031-26292-0 [contents] - [i99]Andreas Doering, Juergen Gall:
A Dual-Source Attention Transformer for Multi-Person Pose Tracking. CoRR abs/2306.05807 (2023) - [i98]Peizheng Li, Shuxiao Ding, Xieyuanli Chen, Niklas Hanselmann, Marius Cordts, Juergen Gall:
PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View. CoRR abs/2306.10761 (2023) - [i97]Olga Zatsarynna, Juergen Gall:
Action Anticipation with Goal Consistency. CoRR abs/2306.15045 (2023) - [i96]Shuxiao Ding, Eike Rehder, Lukas Schneider, Marius Cordts, Juergen Gall:
3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking. CoRR abs/2308.06635 (2023) - [i95]Vadim Sushko, Ruyu Wang, Juergen Gall:
Smoothness Similarity Regularization for Few-Shot GAN Adaptation. CoRR abs/2308.09717 (2023) - [i94]Shijie Li, Rong Li, Juergen Gall:
Semantic RGB-D Image Synthesis. CoRR abs/2308.11356 (2023) - [i93]Emad Bahrami Rad, Gianpiero Francesca, Juergen Gall:
How Much Temporal Long-Term Context is Needed for Action Segmentation? CoRR abs/2308.11358 (2023) - [i92]Rong Li, Shijie Li, Xieyuanli Chen, Teli Ma, Wang Hao, Juergen Gall, Junwei Liang:
TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation. CoRR abs/2309.07849 (2023) - [i91]Zeyun Zhong, Manuel Martin, Michael Voit, Juergen Gall, Jürgen Beyerer:
A Survey on Deep Learning Techniques for Action Anticipation. CoRR abs/2309.17257 (2023) - [i90]Zeyun Zhong, Chengzhi Wu, Manuel Martin, Michael Voit, Juergen Gall, Jürgen Beyerer:
DiffAnt: Diffusion Models for Action Anticipation. CoRR abs/2311.15991 (2023) - 2022
- [j30]Vadim Sushko, Edgar Schönfeld, Dan Zhang, Juergen Gall, Bernt Schiele, Anna Khoreva:
OASIS: Only Adversarial Supervision for Semantic Image Synthesis. Int. J. Comput. Vis. 130(12): 2903-2923 (2022) - [j29]Yaser Souri, Mohsen Fayyaz, Luca Minciullo, Gianpiero Francesca, Juergen Gall:
Fast Weakly Supervised Action Segmentation Using Mutual Consistency. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6196-6208 (2022) - [j28]Shijie Li, Xieyuanli Chen, Yun Liu, Dengxin Dai, Cyrill Stachniss, Juergen Gall:
Multi-Scale Interaction for Real-Time LiDAR Data Segmentation on an Embedded Platform. IEEE Robotics Autom. Lett. 7(2): 738-745 (2022) - [c144]Di Chen, Andreas Doering, Shanshan Zhang, Jian Yang, Juergen Gall, Bernt Schiele:
Keypoint Message Passing for Video-Based Person Re-identification. AAAI 2022: 239-247 - [c143]David T. Hoffmann, Nadine Behrmann, Juergen Gall, Thomas Brox, Mehdi Noroozi:
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives. AAAI 2022: 897-905 - [c142]Shijie Li, Ming-Ming Cheng, Jürgen Gall:
Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis. BMVC 2022: 285 - [c141]Mohammad Saber Pourheydari, Emad Bahrami Rad, Mohsen Fayyaz, Gianpiero Francesca, Mehdi Noroozi, Jürgen Gall:
TaylorSwiftNet: Taylor Driven Temporal Modeling for Swift Future Frame Prediction. BMVC 2022: 389 - [c140]Yaser Souri, Yazan Abu Farha, Emad Bahrami Rad, Gianpiero Francesca, Jürgen Gall:
Robust Action Segmentation from Timestamp Supervision. BMVC 2022: 392 - [c139]Andreas Doering, Di Chen, Shanshan Zhang, Bernt Schiele, Juergen Gall:
PoseTrack21: A Dataset for Person Search, Multi-Object Tracking and Multi-Person Pose Tracking. CVPR 2022: 20931-20940 - [c138]Shuxiao Ding, Eike Rehder, Lukas Schneider, Marius Cordts, Jürgen Gall:
End-to-End Single Shot Detector Using Graph-Based Learnable Duplicate Removal. GCPR 2022: 375-389 - [c137]Olga Zatsarynna, Yazan Abu Farha, Juergen Gall:
Self-supervised Learning for Unintentional Action Prediction. GCPR 2022: 429-444 - [c136]Nadine Behrmann, S. Alireza Golestaneh, Zico Kolter, Jürgen Gall, Mehdi Noroozi:
Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation. ECCV (35) 2022: 52-68 - [c135]Mohsen Fayyaz, Soroush Abbasi Koohpayegani, Farnoush Rezaei Jafari, Sunando Sengupta, Hamid Reza Vaezi Joze, Eric Sommerlade, Hamed Pirsiavash, Jürgen Gall:
Adaptive Token Sampling for Efficient Vision Transformers. ECCV (11) 2022: 396-414 - [c134]Ruilong Li, Julian Tanke, Minh Vo, Michael Zollhöfer, Jürgen Gall, Angjoo Kanazawa, Christoph Lassner:
TAVA: Template-free Animatable Volumetric Actors. ECCV (32) 2022: 419-436 - [i89]David T. Hoffmann, Nadine Behrmann, Juergen Gall, Thomas Brox, Mehdi Noroozi:
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives. CoRR abs/2201.11736 (2022) - [i88]Rania Briq, Chuhang Zou, Leonid Pishchulin, Chris Broaddus, Juergen Gall:
Recurrent Transformer Variational Autoencoders for Multi-Action Motion Synthesis. CoRR abs/2206.06741 (2022) - [i87]Ruilong Li, Julian Tanke, Minh Vo, Michael Zollhöfer, Jürgen Gall, Angjoo Kanazawa, Christoph Lassner:
TAVA: Template-free Animatable Volumetric Actors. CoRR abs/2206.08929 (2022) - [i86]Nadine Behrmann, S. Alireza Golestaneh, Zico Kolter, Juergen Gall, Mehdi Noroozi:
Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation. CoRR abs/2209.00638 (2022) - [i85]Vadim Sushko, Dan Zhang, Juergen Gall, Anna Khoreva:
One-Shot Synthesis of Images and Segmentation Masks. CoRR abs/2209.07547 (2022) - [i84]Olga Zatsarynna, Yazan Abu Farha, Juergen Gall:
Self-supervised Learning for Unintentional Action Prediction. CoRR abs/2209.12074 (2022) - [i83]Shijie Li, Ming-Ming Cheng, Juergen Gall:
Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis. CoRR abs/2210.04085 (2022) - [i82]Yaser Souri, Yazan Abu Farha, Emad Bahrami Rad, Gianpiero Francesca, Juergen Gall:
Robust Action Segmentation from Timestamp Supervision. CoRR abs/2210.06501 (2022) - [i81]Mohamad Hakam Shams Eddin, Ribana Roscher, Juergen Gall:
Location-aware Adaptive Denormalization: A Deep Learning Approach For Wildfire Danger Forecasting. CoRR abs/2212.08208 (2022) - 2021
- [j27]Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Jürgen Gall, Cyrill Stachniss:
Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI Dataset. Int. J. Robotics Res. 40(8-9) (2021) - [j26]Shijie Li, Jinhui Yi, Yazan Abu Farha, Juergen Gall:
Pose Refinement Graph Convolutional Network for Skeleton-Based Action Recognition. IEEE Robotics Autom. Lett. 6(2): 1028-1035 (2021) - [j25]Xieyuanli Chen, Shijie Li, Benedikt Mersch, Louis Wiesmann, Jürgen Gall, Jens Behley, Cyrill Stachniss:
Moving Object Segmentation in 3D LiDAR Data: A Learning-Based Approach Exploiting Sequential Data. IEEE Robotics Autom. Lett. 6(4): 6529-6536 (2021) - [c133]Julian Tanke, Chintan Zaveri, Juergen Gall:
Intention-based Long-Term Human Motion Anticipation. 3DV 2021: 596-605 - [c132]Olga Zatsarynna, Yazan Abu Farha, Juergen Gall:
Multi-Modal Temporal Convolutional Network for Anticipating Actions in Egocentric Videos. CVPR Workshops 2021: 2249-2258 - [c131]Vadim Sushko, Jürgen Gall, Anna Khoreva:
One-Shot GAN: Learning To Generate Samples From Single Images and Videos. CVPR Workshops 2021: 2596-2600 - [c130]Mohsen Fayyaz, Emad Bahrami Rad, Ali Diba, Mehdi Noroozi, Ehsan Adeli, Luc Van Gool, Jürgen Gall:
3D CNNs With Adaptive Temporal Feature Resolutions. CVPR 2021: 4731-4740 - [c129]Zhe Li, Yazan Abu Farha, Jürgen Gall:
Temporal Action Segmentation From Timestamp Supervision. CVPR 2021: 8365-8374 - [c128]Yaser Souri, Yazan Abu Farha, Fabien Despinoy, Gianpiero Francesca, Juergen Gall:
FIFA: Fast Inference Approximation for Action Segmentation. GCPR 2021: 282-296 - [c127]Shijie Li, Yanying Zhou, Jinhui Yi, Juergen Gall:
Spatial-Temporal Consistency Network for Low-Latency Trajectory Forecasting. ICCV 2021: 1920-1929 - [c126]Nadine Behrmann, Mohsen Fayyaz, Juergen Gall, Mehdi Noroozi:
Long Short View Feature Decomposition via Contrastive Video Representation Learning. ICCV 2021: 9224-9233 - [c125]Sovan Biswas, Juergen Gall:
Multiple Instance Triplet Loss for Weakly Supervised Multi-Label Action Localisation of Interacting Persons. ICCVW 2021: 2159-2167 - [c124]Edgar Schönfeld, Vadim Sushko, Dan Zhang, Juergen Gall, Bernt Schiele, Anna Khoreva:
You Only Need Adversarial Supervision for Semantic Image Synthesis. ICLR 2021 - [c123]Santosh Thoduka, Juergen Gall, Paul G. Plöger:
Using Visual Anomaly Detection for Task Execution Monitoring. IROS 2021: 4604-4610 - [c122]Alexander Richard, Colin Lea, Shugao Ma, Juergen Gall, Fernando De la Torre, Yaser Sheikh:
Audio- and Gaze-driven Facial Animation of Codec Avatars. WACV 2021: 41-50 - [c121]Nadine Behrmann, Juergen Gall, Mehdi Noroozi:
Unsupervised Video Representation Learning by Bidirectional Feature Prediction. WACV 2021: 1669-1678 - [e3]Christian Bauckhage, Juergen Gall, Alexander G. Schwing:
Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28 - October 1, 2021, Proceedings. Lecture Notes in Computer Science 13024, Springer 2021, ISBN 978-3-030-92658-8 [contents] - [i80]Sovan Biswas, Juergen Gall:
Discovering Multi-Label Actor-Action Association in a Weakly Supervised Setting. CoRR abs/2101.08567 (2021) - [i79]Sovan Biswas, Yaser Souri, Juergen Gall:
Hierarchical Graph-RNNs for Action Detection of Multiple Activities. CoRR abs/2101.08581 (2021) - [i78]Julian Tanke, Juergen Gall:
Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Views. CoRR abs/2101.09745 (2021) - [i77]Zhe Li, Yazan Abu Farha, Juergen Gall:
Temporal Action Segmentation from Timestamp Supervision. CoRR abs/2103.06669 (2021) - [i76]Vadim Sushko, Juergen Gall, Anna Khoreva:
One-Shot GAN: Learning to Generate Samples from Single Images and Videos. CoRR abs/2103.13389 (2021) - [i75]Vadim Sushko, Juergen Gall, Anna Khoreva:
Learning to Generate Novel Scene Compositions from Single Images and Videos. CoRR abs/2105.05847 (2021) - [i74]Xieyuanli Chen, Shijie Li, Benedikt Mersch, Louis Wiesmann, Jürgen Gall, Jens Behley, Cyrill Stachniss:
Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data. CoRR abs/2105.08971 (2021) - [i73]Rania Briq, Pratika Kochar, Juergen Gall:
Towards Better Adversarial Synthesis of Human Images from Text. CoRR abs/2107.01869 (2021) - [i72]Olga Zatsarynna, Yazan Abu Farha, Juergen Gall:
Multi-Modal Temporal Convolutional Network for Anticipating Actions in Egocentric Videos. CoRR abs/2107.09504 (2021) - [i71]Santosh Thoduka, Juergen Gall, Paul G. Plöger:
Using Visual Anomaly Detection for Task Execution Monitoring. CoRR abs/2107.14206 (2021) - [i70]Yaser Souri, Yazan Abu Farha, Fabien Despinoy, Gianpiero Francesca, Juergen Gall:
FIFA: Fast Inference Approximation for Action Segmentation. CoRR abs/2108.03894 (2021) - [i69]Nadine Behrmann, Mohsen Fayyaz, Juergen Gall, Mehdi Noroozi:
Long Short View Feature Decomposition via Contrastive Video Representation Learning. CoRR abs/2109.11593 (2021) - [i68]Mohammad Saber Pourheydari, Mohsen Fayyaz, Emad Bahrami Rad, Mehdi Noroozi, Juergen Gall:
Taylor Swift: Taylor Driven Temporal Modeling for Swift Future Frame Prediction. CoRR abs/2110.14392 (2021) - [i67]Di Chen, Andreas Doering, Shanshan Zhang, Jian Yang, Juergen Gall, Bernt Schiele:
Keypoint Message Passing for Video-based Person Re-Identification. CoRR abs/2111.08279 (2021) - [i66]Mohsen Fayyaz, Soroush Abbasi Koohpayegani, Farnoush Rezaei Jafari, Eric Sommerlade, Hamid Reza Vaezi Joze, Hamed Pirsiavash, Juergen Gall:
ATS: Adaptive Token Sampling For Efficient Vision Transformers. CoRR abs/2111.15667 (2021) - 2020
- [j24]Pau Panareda Busto, Ahsan Iqbal, Juergen Gall:
Open Set Domain Adaptation for Image and Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 42(2): 413-429 (2020) - [j23]Hilde Kuehne, Alexander Richard, Juergen Gall:
A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 42(4): 765-779 (2020) - [j22]Jinhui Yi, Lukas Krusenbaum, Paula Unger, Hubert Hüging, Sabine J. Seidel, Gabriel Schaaf, Juergen Gall:
Deep Learning for Non-Invasive Diagnosis of Nutrient Deficiencies in Sugar Beet Using RGB Images. Sensors 20(20): 5893 (2020) - [c120]Oh-Hun Kwon, Julian Tanke, Juergen Gall:
Recursive Bayesian Filtering for Multiple Human Pose Tracking from Multiple Cameras. ACCV (2) 2020: 438-453 - [c119]Sovan Biswas, Juergen Gall:
Discovering Multi-label Actor-Action Association in a Weakly Supervised Setting. ACCV (5) 2020: 547-561 - [c118]Mohsen Fayyaz, Jürgen Gall:
SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation. CVPR 2020: 498-507 - [c117]Yifei Zhang, Rania Briq, Julian Tanke, Juergen Gall:
Adversarial Synthesis of Human Pose from Text. GCPR 2020: 145-158 - [c116]Yazan Abu Farha, Qiuhong Ke, Bernt Schiele, Juergen Gall:
Long-Term Anticipation of Activities with Cycle Consistency. GCPR 2020: 159-173 - [c115]Olga Zatsarynna, Johann Sawatzky, Juergen Gall:
Discovering Latent Classes for Semi-supervised Semantic Segmentation. GCPR 2020: 202-217 - [c114]Umer Rafi, Andreas Doering, Bastian Leibe, Juergen Gall:
Self-supervised Keypoint Correspondences for Multi-person Pose Estimation and Tracking in Videos. ECCV (20) 2020: 36-52 - [c113]Vadim Sushko, Edgar Schönfeld, Dan Zhang, Jürgen Gall, Bernt Schiele, Anna Khoreva:
3D Noise and Adversarial Supervision Is All You Need for Multi-modal Semantic Image Synthesis. ECCV Workshops (6) 2020: 554-558 - [c112]Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jürgen Gall, Rainer Stiefelhagen, Luc Van Gool:
Large Scale Holistic Video Understanding. ECCV (5) 2020: 593-610 - [c111]Moritz Wolter, Jürgen Gall, Angela Yao:
Sequence Prediction Using Spectral RNNs. ICANN (1) 2020: 825-837 - [i65]Mohsen Fayyaz, Juergen Gall:
SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation. CoRR abs/2003.14266 (2020) - [i64]Umer Rafi, Andreas Doering, Bastian Leibe, Juergen Gall:
Self-supervised Keypoint Correspondences for Multi-Person Pose Estimation and Tracking in Videos. CoRR abs/2004.12652 (2020) - [i63]Yifei Zhang, Rania Briq, Julian Tanke, Juergen Gall:
Adversarial Synthesis of Human Pose from Text. CoRR abs/2005.00340 (2020) - [i62]Yaser Souri, Alexander Richard, Luca Minciullo, Juergen Gall:
On Evaluating Weakly Supervised Action Segmentation Methods. CoRR abs/2005.09743 (2020) - [i61]Shijie Li, Yazan Abu Farha, Yun Liu, Ming-Ming Cheng, Juergen Gall:
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation. CoRR abs/2006.09220 (2020) - [i60]Shijie Li, Yun Liu, Juergen Gall:
Projected-point-based Segmentation: A New Paradigm for LiDAR Point Cloud Segmentation. CoRR abs/2008.03928 (2020) - [i59]Alexander Richard, Colin Lea, Shugao Ma, Juergen Gall, Fernando De la Torre, Yaser Sheikh:
Audio- and Gaze-driven Facial Animation of Codec Avatars. CoRR abs/2008.05023 (2020) - [i58]Shijie Li, Xieyuanli Chen, Yun Liu, Dengxin Dai, Cyrill Stachniss, Juergen Gall:
Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform. CoRR abs/2008.09162 (2020) - [i57]Yazan Abu Farha, Qiuhong Ke, Bernt Schiele, Juergen Gall:
Long-Term Anticipation of Activities with Cycle Consistency. CoRR abs/2009.01142 (2020) - [i56]Shijie Li, Jinhui Yi, Yazan Abu Farha, Juergen Gall:
Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition. CoRR abs/2010.07367 (2020) - [i55]Nadine Behrmann, Juergen Gall, Mehdi Noroozi:
Unsupervised Video Representation Learning by Bidirectional Feature Prediction. CoRR abs/2011.06037 (2020) - [i54]Andreas Doering, Di Chen, Shanshan Zhang, Bernt Schiele, Juergen Gall:
PoseTrackReID: Dataset Description. CoRR abs/2011.06243 (2020) - [i53]Mohsen Fayyaz, Emad Bahrami Rad, Ali Diba, Mehdi Noroozi, Ehsan Adeli, Luc Van Gool, Juergen Gall:
3D CNNs with Adaptive Temporal Feature Resolutions. CoRR abs/2011.08652 (2020) - [i52]Vadim Sushko, Edgar Schönfeld, Dan Zhang, Jürgen Gall, Bernt Schiele, Anna Khoreva:
You Only Need Adversarial Supervision for Semantic Image Synthesis. CoRR abs/2012.04781 (2020)
2010 – 2019
- 2019
- [c110]Martin Garbade, Yueh-Tung Chen, Johann Sawatzky, Juergen Gall:
Two Stream 3D Semantic Scene Completion. CVPR Workshops 2019: 416-425 - [c109]Yazan Abu Farha, Jürgen Gall:
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation. CVPR 2019: 3575-3584 - [c108]Johann Sawatzky, Yaser Souri, Christian Grund, Jürgen Gall:
What Object Should I Use? - Task Driven Object Detection. CVPR 2019: 7605-7614 - [c107]Anna Kukleva, Hilde Kuehne, Fadime Sener, Jürgen Gall:
Unsupervised Learning of Action Classes With Continuous Temporal Embedding. CVPR 2019: 12066-12074 - [c106]Pau Panareda Busto, Juergen Gall:
Joint Viewpoint and Keypoint Estimation with Real and Synthetic Data. GCPR 2019: 107-121 - [c105]Julian Tanke, Juergen Gall:
Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Views. GCPR 2019: 537-550 - [c104]Alejandro Hernandez Ruiz, Jürgen Gall, Francesc Moreno:
Human Motion Prediction via Spatio-Temporal Inpainting. ICCV 2019: 7133-7142 - [c103]Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, Jürgen Gall:
SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences. ICCV 2019: 9296-9306 - [c102]Yazan Abu Farha, Juergen Gall:
Uncertainty-Aware Anticipation of Activities. ICCV Workshops 2019: 1197-1204 - [c101]