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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
- 2024
[j35]Vadim Sushko
, Dan Zhang, Juergen Gall, Anna Khoreva:
Generating novel scene compositions from single images and videos. Comput. Vis. Image Underst. 239: 103888 (2024)- [c161]Rong Li, Shijie Li, Xieyuanli Chen, Teli Ma, Juergen Gall, Junwei Liang:
TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation. CVPR Workshops 2024: 4547-4556 - [c160]Shuxiao Ding, Lukas Schneider, Marius Cordts, Juergen Gall:
ADA-Track: End-to-End Multi-Camera 3D Multi-Object Tracking with Alternating Detection and Association. CVPR 2024: 15184-15194 - [c159]Santosh Thoduka, Nico Hochgeschwender, Juergen Gall, Paul G. Plöger:
A Multimodal Handover Failure Detection Dataset and Baselines. ICRA 2024: 17013-17019 - [i110]Santosh Thoduka, Nico Hochgeschwender, Juergen Gall, Paul G. Plöger:
A Multimodal Handover Failure Detection Dataset and Baselines. CoRR abs/2402.18319 (2024) - [i109]Shuxiao Ding, Lukas Schneider, Marius Cordts, Juergen Gall:
ADA-Track: End-to-End Multi-Camera 3D Multi-Object Tracking with Alternating Detection and Association. CoRR abs/2405.08909 (2024) - [i108]Yanan Luo, Jinhui Yi, Yazan Abu Farha, Moritz Wolter, Juergen Gall:
Rethinking temporal self-similarity for repetitive action counting. CoRR abs/2407.09431 (2024) - [i107]Olga Zatsarynna, Emad Bahrami, Yazan Abu Farha, Gianpiero Francesca, Juergen Gall:
Gated Temporal Diffusion for Stochastic Long-Term Dense Anticipation. CoRR abs/2407.11954 (2024) - [i106]Abdelrahman M. Shaker, Syed Talal Wasim, Salman Khan, Juergen Gall, Fahad Shahbaz Khan:
GroupMamba: Parameter-Efficient and Accurate Group Visual State Space Model. CoRR abs/2407.13772 (2024) - [i105]Jifeng Wang, Kaouther Messaoud, Yuejiang Liu, Juergen Gall, Alexandre Alahi:
Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models. CoRR abs/2407.19564 (2024) - [i104]Jinhui Yi, Yanan Luo, Marion Deichmann, Gabriel Schaaf, Juergen Gall:
MV-Match: Multi-View Matching for Domain-Adaptive Identification of Plant Nutrient Deficiencies. CoRR abs/2409.00903 (2024) - [i103]Hamid Suleman, Syed Talal Wasim, Muzammal Naseer, Juergen Gall:
Distillation-free Scaling of Large SSMs for Images and Videos. CoRR abs/2409.11867 (2024) - [i102]Felix B. Mueller, Julian Tanke, Juergen Gall:
Massively Multi-Person 3D Human Motion Forecasting with Scene Context. CoRR abs/2409.12189 (2024) - 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) - [c158]Johannes Leonhardt, Lukas Drees, Jürgen Gall, Ribana Roscher:
Leveraging Bioclimatic Context for Supervised and Self-supervised Land Cover Classification. DAGM 2023: 227-242 - [c157]Vadim Sushko, Ruyu Wang, Juergen Gall:
Smoothness Similarity Regularization for Few-Shot GAN Adaptation. ICCV 2023: 7050-7059 - [c156]Julian Tanke, Linguang Zhang, Amy Zhao, Chengcheng Tang, Yujun Cai, Lezi Wang, Po-Chen Wu, Juergen Gall, Cem Keskin:
Social Diffusion: Long-term Multiple Human Motion Anticipation. ICCV 2023: 9567-9577 - [c155]Shuxiao Ding, Eike Rehder, Lukas Schneider, Marius Cordts, Juergen Gall:
3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking. ICCV 2023: 9750-9760 - [c154]Emad Bahrami Rad, Gianpiero Francesca, Juergen Gall:
How Much Temporal Long-Term Context is Needed for Action Segmentation? ICCV 2023: 10317-10327 - [c153]Shijie Li, Rong Li, Juergen Gall:
Semantic RGB-D Image Synthesis. ICCV (Workshops) 2023: 944-952 - [c152]Andreas Doering, Juergen Gall:
A Gated Attention Transformer for Multi-Person Pose Tracking. ICCV (Workshops) 2023: 3181-3190 - [c151]Olga Zatsarynna, Juergen Gall:
Action Anticipation with Goal Consistency. ICIP 2023: 1630-1634 - [c150]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 - [c149]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 - [c148]Jürgen Gall:
Efficient CNNs and Transformers for Video Understanding and Image Synthesis. ICMR 2023: 670 - [c147]Julian Tanke, Oh-Hun Kwon, Felix B. Mueller, Andreas Doering, Jürgen Gall:
Humans in Kitchens: A Dataset for Multi-Person Human Motion Forecasting with Scene Context. NeurIPS 2023 - [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] - [d2]Mohamad Hakam Shams Eddin, Juergen Gall:
Focal-TSMP: Deep learning for vegetation health prediction and agricultural drought assessment from a regional climate simulation. Zenodo, 2023
- [d1]Mohamad Hakam Shams Eddin, Juergen Gall:
Focal-TSMP: Deep learning for vegetation health prediction and agricultural drought assessment from a regional climate simulation. Zenodo, 2023 - [i101]Andreas Doering, Juergen Gall:
A Dual-Source Attention Transformer for Multi-Person Pose Tracking. CoRR abs/2306.05807 (2023) - [i100]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) - [i99]Olga Zatsarynna, Juergen Gall:
Action Anticipation with Goal Consistency. CoRR abs/2306.15045 (2023) - [i98]Shuxiao Ding, Eike Rehder, Lukas Schneider, Marius Cordts, Juergen Gall:
3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking. CoRR abs/2308.06635 (2023) - [i97]Vadim Sushko, Ruyu Wang, Juergen Gall:
Smoothness Similarity Regularization for Few-Shot GAN Adaptation. CoRR abs/2308.09717 (2023) - [i96]Shijie Li, Rong Li, Juergen Gall:
Semantic RGB-D Image Synthesis. CoRR abs/2308.11356 (2023) - [i95]Emad Bahrami Rad, Gianpiero Francesca, Juergen Gall:
How Much Temporal Long-Term Context is Needed for Action Segmentation? CoRR abs/2308.11358 (2023) - [i94]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) - [i93]Zeyun Zhong, Manuel Martin, Michael Voit, Juergen Gall, Jürgen Beyerer:
A Survey on Deep Learning Techniques for Action Anticipation. CoRR abs/2309.17257 (2023) - [i92]Zeyun Zhong, Chengzhi Wu, Manuel Martin, Michael Voit, Juergen Gall, Jürgen Beyerer:
DiffAnt: Diffusion Models for Action Anticipation. CoRR abs/2311.15991 (2023) - [i91]Shijie Li, Farhad G. Zanjani, Haitam Ben Yahia, Yuki M. Asano, Juergen Gall, Amirhossein Habibian:
VaLID: Variable-Length Input Diffusion for Novel View Synthesis. CoRR abs/2312.08892 (2023) - [i90]Lokesh Veeramacheneni, Moritz Wolter, Juergen Gall:
Wavelet Packet Power Spectrum Kullback-Leibler Divergence: A New Metric for Image Synthesis. CoRR abs/2312.15289 (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]Ahsan Iqbal, Juergen Gall:
Level Selector Network for Optimizing Accuracy-Specificity Trade-Offs. ICCV Workshops 2019: 1466-1473 - [c100]Ahsan Iqbal, Alexander Richard, Juergen Gall:
Enhancing Temporal Action Localization with Transfer Learning from Action Recognition. ICCV Workshops 2019: 1533-1540 - [c99]Johann Sawatzky, Debayan Banerjee, Juergen Gall:
Harvesting Information from Captions for Weakly Supervised Semantic Segmentation. ICCV Workshops 2019: 4481-4490 - [c98]Fida Mohammad Thoker, Juergen Gall:
Cross-Modal Knowledge Distillation for Action Recognition. ICIP 2019: 6-10 - [c97]Yueh-Tung Chen, Martin Garbade, Juergen Gall:
3D Semantic Scene Completion from a Single Depth Image Using Adversarial Training. ICIP 2019: 1835-1839 - [c96]Sovan Biswas, Yaser Souri, Juergen Gall:
Hierarchical Graph-Rnns for Action Detection of Multiple Activities. ICIP 2019: 3686-3690 - [c95]Lilli Bruckschen, Sabrina Amft, Julian Tanke, Jürgen Gall, Maren Bennewitz:
Detection of Generic Human-Object Interactions in Video Streams. ICSR 2019: 108-118 - [i51]Yazan Abu Farha, Juergen Gall:
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation. CoRR abs/1903.01945 (2019) - [i50]Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, Juergen Gall:
A Dataset for Semantic Segmentation of Point Cloud Sequences. CoRR abs/1904.01416 (2019) - [i49]Johann Sawatzky, Yaser Souri, Christian Grund, Juergen Gall:
What Object Should I Use? - Task Driven Object Detection. CoRR abs/1904.03000 (2019) - [i48]Yaser Souri, Mohsen Fayyaz, Juergen Gall:
Weakly Supervised Action Segmentation Using Mutual Consistency. CoRR abs/1904.03116 (2019) - [i47]Anna Kukleva, Hilde Kuehne, Fadime Sener, Juergen Gall:
Unsupervised learning of action classes with continuous temporal embedding. CoRR abs/1904.04189 (2019) - [i46]Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jürgen Gall, Rainer Stiefelhagen, Luc Van Gool:
Holistic Large Scale Video Understanding. CoRR abs/1904.11451 (2019) - [i45]Rania Briq, Andreas Doering, Juergen Gall:
Unifying Part Detection and Association for Recurrent Multi-Person Pose Estimation. CoRR abs/1904.11864 (2019) - [i44]Yueh-Tung Chen, Martin Garbade, Juergen Gall:
3D Semantic Scene Completion from a Single Depth Image using Adversarial Training. CoRR abs/1905.06231 (2019) - [i43]Johann Sawatzky, Debayan Banerjee, Juergen Gall:
Harvesting Information from Captions for Weakly Supervised Semantic Segmentation. CoRR abs/1905.06784 (2019) - [i42]Hilde Kuehne, Ahsan Iqbal, Alexander Richard, Juergen Gall:
Mining YouTube - A dataset for learning fine-grained action concepts from webly supervised video data. CoRR abs/1906.01012 (2019) - [i41]Hilde Kuehne, Alexander Richard, Juergen Gall:
A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action Segmentation. CoRR abs/1906.01028 (2019) - [i40]Pau Panareda Busto, Ahsan Iqbal, Jürgen Gall:
Open Set Domain Adaptation for Image and Action Recognition. CoRR abs/1907.12865 (2019) - [i39]Yazan Abu Farha, Jürgen Gall:
Uncertainty-Aware Anticipation of Activities. CoRR abs/1908.09540 (2019) - [i38]Fida Mohammad Thoker, Juergen Gall:
Cross-modal knowledge distillation for action recognition. CoRR abs/1910.04641 (2019) - [i37]Julian Tanke, Andreas Weber, Juergen Gall:
Human Motion Anticipation with Symbolic Label. CoRR abs/1912.06079 (2019) - [i36]Pau Panareda Busto, Juergen Gall:
Joint Viewpoint and Keypoint Estimation with Real and Synthetic Data. CoRR abs/1912.06274 (2019) - [i35]Julian Tanke, Oh-Hun Kwon, Patrick Stotko, Radu Alexandru Rosu, Michael Weinmann, Hassan Errami, Sven Behnke, Maren Bennewitz, Reinhard Klein, Andreas Weber, Angela Yao, Juergen Gall:
Bonn Activity Maps: Dataset Description. CoRR abs/1912.06354 (2019) - [i34]Johann Sawatzky, Olga Zatsarynna, Juergen Gall:
Discovering Latent Classes for Semi-Supervised Semantic Segmentation. CoRR abs/1912.12936 (2019) - 2018
- [j21]Pau Panareda Busto, Juergen Gall:
Viewpoint refinement and estimation with adapted synthetic data. Comput. Vis. Image Underst. 169: 75-89 (2018) - [j20]Umar Iqbal, Andreas Doering, Hashim Yasin, Björn Krüger, Andreas Weber, Juergen Gall:
A dual-source approach for 3D human pose estimation from single images. Comput. Vis. Image Underst. 172: 37-49 (2018) - [c94]Mohammad Sabokrou, Masoud PourReza, Mohsen Fayyaz, Rahim Entezari, Mahmood Fathy, Jürgen Gall, Ehsan Adeli:
AVID: Adversarial Visual Irregularity Detection. ACCV (6) 2018: 488-505 - [c93]Umer Rafi, Jürgen Gall, Bastian Leibe:
Direct Shot Correspondence Matching. BMVC 2018: 152 - [c92]Andreas Doering, Umar Iqbal, Jürgen Gall:
JointFlow: Temporal Flow Fields for Multi Person Pose Estimation. BMVC 2018: 261 - [c91]Rania Briq, Michael Moeller, Jürgen Gall:
Convolutional Simplex Projection Network for Weakly Supervised Semantic Segmentation. BMVC 2018: 263 - [c90]Mykhaylo Andriluka, Umar Iqbal, Eldar Insafutdinov, Leonid Pishchulin, Anton Milan, Juergen Gall, Bernt Schiele:
PoseTrack: A Benchmark for Human Pose Estimation and Tracking. CVPR 2018: 5167-5176 - [c89]Yazan Abu Farha, Alexander Richard, Juergen Gall:
When Will You Do What? - Anticipating Temporal Occurrences of Activities. CVPR 2018: 5343-5352 - [c88]Alexander Richard, Hilde Kuehne, Juergen Gall:
Action Sets: Weakly Supervised Action Segmentation Without Ordering Constraints. CVPR 2018: 5987-5996 - [c87]Alexander Richard, Hilde Kuehne, Ahsan Iqbal, Juergen Gall:
NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning. CVPR 2018: 7386-7395 - [c86]Johann Sawatzky, Martin Garbade, Juergen Gall:
Ex Paucis Plura: Learning Affordance Segmentation from Very Few Examples. GCPR 2018: 169-184 - [c85]Umar Iqbal, Pavlo Molchanov, Thomas M. Breuel, Juergen Gall, Jan Kautz:
Hand Pose Estimation via Latent 2.5D Heatmap Regression. ECCV (11) 2018: 125-143 - [c84]Ali Diba, Mohsen Fayyaz, Vivek Sharma, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Juergen Gall, Luc Van Gool:
Spatio-temporal Channel Correlation Networks for Action Classification. ECCV (4) 2018: 299-315 - [c83]Alexander Freytag, Vittorio Ferrari, Mario Fritz, Uwe Franke, Terrance E. Boult, Juergen Gall, Walter J. Scheirer, Angela Yao, Erik Rodner:
Workshop on Interactive and Adaptive Learning in an Open World. ECCV Workshops (6) 2018: 487-493 - [c82]Grigorios Kalliatakis, Anca Sticlaru, George Stamatiadis, Shoaib Ehsan, Ales Leonardis, Juergen Gall, Klaus D. McDonald-Maier:
Material Classification in theWild: Do Synthesized Training Data Generalise Better than Real-world Training Data? VISIGRAPP (4: VISAPP) 2018: 427-432 - [c81]Sovan Biswas, Juergen Gall:
Structural Recurrent Neural Network (SRNN) for Group Activity Analysis. WACV 2018: 1625-1632 - [i33]Sovan Biswas, Juergen Gall:
Structural Recurrent Neural Network (SRNN) for Group Activity Analysis. CoRR abs/1802.02091 (2018) - [i32]Yazan Abu Farha, Alexander Richard, Juergen Gall:
When will you do what? - Anticipating Temporal Occurrences of Activities. CoRR abs/1804.00892 (2018) - [i31]Martin Garbade, Johann Sawatzky, Alexander Richard, Juergen Gall:
Two Stream 3D Semantic Scene Completion. CoRR abs/1804.03550 (2018) - [i30]Umar Iqbal, Pavlo Molchanov, Thomas M. Breuel, Juergen Gall, Jan Kautz:
Hand Pose Estimation via Latent 2.5D Heatmap Regression. CoRR abs/1804.09534 (2018) - [i29]Andreas Doering, Umar Iqbal, Juergen Gall:
Joint Flow: Temporal Flow Fields for Multi Person Tracking. CoRR abs/1805.04596 (2018) - [i28]Alexander Richard, Hilde Kuehne, Ahsan Iqbal, Juergen Gall:
NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning. CoRR abs/1805.06875 (2018) - [i27]Mohammad Sabokrou, Masoud PourReza, Mohsen Fayyaz, Rahim Entezari, Mahmood Fathy, Jürgen Gall, Ehsan Adeli:
AVID: Adversarial Visual Irregularity Detection. CoRR abs/1805.09521 (2018) - [i26]Ali Diba, Mohsen Fayyaz, Vivek Sharma, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Juergen Gall, Luc Van Gool:
Spatio-Temporal Channel Correlation Networks for Action Classification. CoRR abs/1806.07754 (2018) - [i25]Michael Moeller, Otmar Loffeld, Juergen Gall, Felix Krahmer:
Are good local minima wide in sparse recovery? CoRR abs/1806.08296 (2018) - [i24]Rania Briq, Michael Moeller, Juergen Gall:
Convolutional Simplex Projection Network (CSPN) for Weakly Supervised Semantic Segmentation. CoRR abs/1807.09169 (2018) - [i23]Alejandro Hernandez Ruiz, Juergen Gall, Francesc Moreno-Noguer:
Human Motion Prediction via Spatio-Temporal Inpainting. CoRR abs/1812.05478 (2018) - 2017
- [j19]Alexander Richard, Juergen Gall:
A bag-of-words equivalent recurrent neural network for action recognition. Comput. Vis. Image Underst. 156: 79-91 (2017) - [j18]Abhilash Srikantha, Juergen Gall:
Weak supervision for detecting object classes from activities. Comput. Vis. Image Underst. 156: 138-150 (2017) - [j17]Hilde Kuehne, Alexander Richard, Juergen Gall:
Weakly supervised learning of actions from transcripts. Comput. Vis. Image Underst. 163: 78-89 (2017) - [j16]An-An Liu, Ke Gao, Liqiang Nie, Juergen Gall, Yi Yang:
Special issue on cross-media big data analytics. J. Vis. Commun. Image Represent. 48: 353-355 (2017) - [c80]Martin Garbade, Juergen Gall:
Thinking Outside the Box: Spatial Anticipation of Semantic Categories. BMVC 2017 - [c79]Alexander Richard, Hilde Kuehne, Juergen Gall:
Weakly Supervised Action Learning with RNN Based Fine-to-Coarse Modeling. CVPR 2017: 1273-1282 - [c78]Umar Iqbal, Anton Milan, Juergen Gall:
PoseTrack: Joint Multi-person Pose Estimation and Tracking. CVPR 2017: 4654-4663 - [c77]Johann Sawatzky, Abhilash Srikantha, Juergen Gall:
Weakly Supervised Affordance Detection. CVPR 2017: 5197-5206 - [c76]Ahsan Iqbal, Alexander Richard, Hilde Kuehne, Juergen Gall:
Recurrent Residual Learning for Action Recognition. GCPR 2017: 126-137 - [c75]Umar Iqbal, Martin Garbade, Juergen Gall:
Pose for Action - Action for Pose. FG 2017: 438-445 - [c74]Pau Panareda Busto, Juergen Gall:
Open Set Domain Adaptation. ICCV 2017: 754-763 - [c73]Mengqi Ji, Juergen Gall, Haitian Zheng, Yebin Liu, Lu Fang:
SurfaceNet: An End-to-End 3D Neural Network for Multiview Stereopsis. ICCV 2017: 2326-2334 - [c72]Juergen Gall, Johann Sawatzky:
Adaptive Binarization for Weakly Supervised Affordance Segmentation. ICCV Workshops 2017: 1383-1391 - [c71]Grigorios Kalliatakis, Shoaib Ehsan, Maria Fasli, Ales Leonardis, Juergen Gall, Klaus D. McDonald-Maier:
Detection of Human Rights Violations in Images: Can Convolutional Neural Networks Help?. VISIGRAPP (5: VISAPP) 2017: 289-296 - [c70]Grigorios Kalliatakis, Georgios Stamatiadis, Shoaib Ehsan, Ales Leonardis, Juergen Gall, Anca Sticlaru, Klaus D. McDonald-Maier:
Evaluating Deep Convolutional Neural Networks for Material Classification. VISIGRAPP (5: VISAPP) 2017: 346-352 - [i22]Grigorios Kalliatakis, Georgios Stamatiadis, Shoaib Ehsan, Ales Leonardis, Juergen Gall, Anca Sticlaru, Klaus D. McDonald-Maier:
Evaluating Deep Convolutional Neural Networks for Material Classification. CoRR abs/1703.04101 (2017) - [i21]Grigorios Kalliatakis, Shoaib Ehsan, Maria Fasli, Ales Leonardis, Juergen Gall, Klaus D. McDonald-Maier:
Detection of Human Rights Violations in Images: Can Convolutional Neural Networks help? CoRR abs/1703.04103 (2017) - [i20]Alexander Richard, Juergen Gall:
A Bag-of-Words Equivalent Recurrent Neural Network for Action Recognition. CoRR abs/1703.08089 (2017) - [i19]Alexander Richard, Hilde Kuehne, Juergen Gall:
Weakly Supervised Action Learning with RNN based Fine-to-coarse Modeling. CoRR abs/1703.08132 (2017) - [i18]Dimitrios Tzionas, Juergen Gall:
A Comparison of Directional Distances for Hand Pose Estimation. CoRR abs/1704.00492 (2017) - [i17]Dimitrios Tzionas, Abhilash Srikantha, Pablo Aponte, Juergen Gall:
Capturing Hand Motion with an RGB-D Sensor, Fusing a Generative Model with Salient Points. CoRR abs/1704.00515 (2017) - [i16]Dimitrios Tzionas, Juergen Gall:
3D Object Reconstruction from Hand-Object Interactions. CoRR abs/1704.00529 (2017) - [i15]Umar Iqbal, Andreas Doering, Hashim Yasin, Björn Krüger, Andreas Weber, Juergen Gall:
A Dual-Source Approach for 3D Human Pose Estimation from a Single Image. CoRR abs/1705.02883 (2017) - [i14]Alexander Richard, Hilde Kuehne, Juergen Gall:
Temporal Action Labeling using Action Sets. CoRR abs/1706.00699 (2017) - [i13]Ahsan Iqbal, Alexander Richard, Hilde Kuehne, Juergen Gall:
Recurrent Residual Learning for Action Recognition. CoRR abs/1706.08807 (2017) - [i12]Johann Sawatzky, Juergen Gall:
Adaptive Binarization for Weakly Supervised Affordance Segmentation. CoRR abs/1707.02850 (2017) - [i11]Mengqi Ji, Juergen Gall, Haitian Zheng, Yebin Liu, Lu Fang:
SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis. CoRR abs/1708.01749 (2017) - [i10]Mykhaylo Andriluka, Umar Iqbal, Anton Milan, Eldar Insafutdinov, Leonid Pishchulin, Juergen Gall, Bernt Schiele:
PoseTrack: A Benchmark for Human Pose Estimation and Tracking. CoRR abs/1710.10000 (2017) - [i9]Grigorios Kalliatakis, Anca Sticlaru, George Stamatiadis, Shoaib Ehsan, Ales Leonardis, Juergen Gall, Klaus D. McDonald-Maier:
Material Classification in the Wild: Do Synthesized Training Data Generalise Better than Real-World Training Data? CoRR abs/1711.03874 (2017) - 2016
- [j15]Dimitrios Tzionas, Luca Ballan, Abhilash Srikantha, Pablo Aponte, Marc Pollefeys, Juergen Gall:
Capturing Hands in Action Using Discriminative Salient Points and Physics Simulation. Int. J. Comput. Vis. 118(2): 172-193 (2016) - [j14]Marko Ristin, Matthieu Guillaumin, Juergen Gall, Luc Van Gool:
Incremental Learning of Random Forests for Large-Scale Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 490-503 (2016) - [j13]Lei Wang, Ce Zhu, Jieping Ye, Juergen Gall:
Guest Editors' Introduction: Special issue on deep learning with applications to visual representation and analysis. Signal Process. Image Commun. 47: 463-464 (2016) - [c69]Umer Rafi, Bastian Leibe, Juergen Gall, Ilya Kostrikov:
An Efficient Convolutional Network for Human Pose Estimation. BMVC 2016 - [c68]Alexander Richard, Juergen Gall:
Temporal Action Detection Using a Statistical Language Model. CVPR 2016: 3131-3140 - [c67]Hashim Yasin, Umar Iqbal, Björn Krüger, Andreas Weber, Juergen Gall:
A Dual-Source Approach for 3D Pose Estimation from a Single Image. CVPR 2016: 4948-4956 - [c66]Nikita Araslanov, Seongyong Koo, Juergen Gall, Sven Behnke:
Efficient Single-View 3D Co-segmentation Using Shape Similarity and Spatial Part Relations. GCPR 2016: 297-308 - [c65]Rasha Sheikh, Martin Garbade, Juergen Gall:
Real-Time Semantic Segmentation with Label Propagation. ECCV Workshops (2) 2016: 3-14 - [c64]Dimitrios Tzionas, Juergen Gall:
Reconstructing Articulated Rigged Models from RGB-D Videos. ECCV Workshops (3) 2016: 620-633 - [c63]Umar Iqbal, Juergen Gall:
Multi-person Pose Estimation with Local Joint-to-Person Associations. ECCV Workshops (2) 2016: 627-642 - [c62]Hilde Kuehne, Juergen Gall, Thomas Serre:
An end-to-end generative framework for video segmentation and recognition. WACV 2016: 1-8 - [i8]Umar Iqbal, Martin Garbade, Juergen Gall:
Pose for Action - Action for Pose. CoRR abs/1603.04037 (2016) - [i7]Abhilash Srikantha, Juergen Gall:
Weakly Supervised Learning of Affordances. CoRR abs/1605.02964 (2016) - [i6]Umar Iqbal, Juergen Gall:
Multi-Person Pose Estimation with Local Joint-to-Person Associations. CoRR abs/1608.08526 (2016) - [i5]Dimitrios Tzionas, Juergen Gall:
Reconstructing Articulated Rigged Models from RGB-D Videos. CoRR abs/1609.01371 (2016) - [i4]Hilde Kuehne, Alexander Richard, Juergen Gall:
Weakly supervised learning of actions from transcripts. CoRR abs/1610.02237 (2016) - [i3]Umar Iqbal, Anton Milan, Juergen Gall:
Pose-Track: Joint Multi-Person Pose Estimation and Tracking. CoRR abs/1611.07727 (2016) - 2015
- [c61]Pau Panareda Busto, Joerg Liebelt, Juergen Gall:
Adaptation of Synthetic Data for Coarse-to-Fine Viewpoint Refinement. BMVC 2015: 14.1-14.12 - [c60]Alexander Richard, Juergen Gall:
A BoW-equivalent Recurrent Neural Network for Action Recognition. BMVC 2015: 57.1-57.13 - [c59]Abhilash Srikantha, Juergen Gall:
Human Pose as Context for Object Detection. BMVC 2015: 101.1-101.11 - [c58]Umer Rafi, Juergen Gall, Bastian Leibe:
A semantic occlusion model for human pose estimation from a single depth image. CVPR Workshops 2015: 67-74 - [c57]Marko Ristin, Juergen Gall, Matthieu Guillaumin, Luc Van Gool:
From categories to subcategories: Large-scale image classification with partial class label refinement. CVPR 2015: 231-239 - [c56]Dimitrios Tzionas, Juergen Gall:
3D Object Reconstruction from Hand-Object Interactions. ICCV 2015: 729-737 - [p1]Yebin Liu, Juergen Gall, Céline Loscos, Qionghai Dai:
Reconstruction of Human Motion. Digital Representations of the Real World 2015: 161-177 - [e2]Juergen Gall, Peter V. Gehler, Bastian Leibe:
Pattern Recognition - 37th German Conference, GCPR 2015, Aachen, Germany, October 7-10, 2015, Proceedings. Lecture Notes in Computer Science 9358, Springer 2015, ISBN 978-3-319-24946-9 [contents] - [i2]Dimitrios Tzionas, Luca Ballan, Abhilash Srikantha, Pablo Aponte, Marc Pollefeys, Juergen Gall:
Capturing Hands in Action using Discriminative Salient Points and Physics Simulation. CoRR abs/1506.02178 (2015) - [i1]Hashim Yasin, Umar Iqbal, Björn Krüger, Andreas Weber, Juergen Gall:
3D Pose Estimation from a Single Monocular Image. CoRR abs/1509.06720 (2015) - 2014
- [j12]Zicheng Liu, Michael Beetz, Daniel Cremers, Jürgen Gall, Wanqing Li, Dejan Pangercic, Jürgen Sturm, Yu-Wing Tai:
Introduction to the special issue on visual understanding and applications with RGB-D cameras. J. Vis. Commun. Image Represent. 25(1): 1 (2014) - [j11]Matthias Dantone, Juergen Gall, Christian Leistner, Luc Van Gool:
Body Parts Dependent Joint Regressors for Human Pose Estimation in Still Images. IEEE Trans. Pattern Anal. Mach. Intell. 36(11): 2131-2143 (2014) - [c55]Abdalrahman Eweiwi, Muhammed Shahzad Cheema, Christian Bauckhage, Juergen Gall:
Efficient Pose-Based Action Recognition. ACCV (5) 2014: 428-443 - [c54]Ilya Kostrikov, Jürgen Gall:
Depth Sweep Regression Forests for Estimating 3D Human Pose from Images. BMVC 2014 - [c53]Marko Ristin, Matthieu Guillaumin, Juergen Gall, Luc Van Gool:
Incremental Learning of NCM Forests for Large-Scale Image Classification. CVPR 2014: 3654-3661 - [c52]Dimitrios Tzionas, Abhilash Srikantha, Pablo Aponte, Juergen Gall:
Capturing Hand Motion with an RGB-D Sensor, Fusing a Generative Model with Salient Points. GCPR 2014: 277-289 - [c51]Michael Weinmann, Juergen Gall, Reinhard Klein:
Material Classification Based on Training Data Synthesized Using a BTF Database. ECCV (3) 2014: 156-171 - [c50]Abhilash Srikantha, Juergen Gall:
Discovering Object Classes from Activities. ECCV (6) 2014: 415-430 - [c49]Abhilash Srikantha, Juergen Gall:
Hough-based object detection with grouped features. ICIP 2014: 1653-1657 - [r1]Juergen Gall:
Simulated Annealing. Computer Vision, A Reference Guide 2014: 737-741 - 2013
- [j10]Gabriele Fanelli, Matthias Dantone, Juergen Gall, Andrea Fossati, Luc Van Gool:
Random Forests for Real Time 3D Face Analysis. Int. J. Comput. Vis. 101(3): 437-458 (2013) - [j9]Yebin Liu, Juergen Gall, Carsten Stoll, Qionghai Dai, Hans-Peter Seidel, Christian Theobalt:
Markerless Motion Capture of Multiple Characters Using Multiview Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 35(11): 2720-2735 (2013) - [c48]Matthias Dantone, Juergen Gall, Christian Leistner, Luc Van Gool:
Human Pose Estimation Using Body Parts Dependent Joint Regressors. CVPR 2013: 3041-3048 - [c47]Dimitrios Tzionas, Juergen Gall:
A Comparison of Directional Distances for Hand Pose Estimation. GCPR 2013: 131-141 - [c46]Mao Ye, Qing Zhang, Liang Wang, Jiejie Zhu, Ruigang Yang, Juergen Gall:
A Survey on Human Motion Analysis from Depth Data. Time-of-Flight and Depth Imaging 2013: 149-187 - [c45]Hueihan Jhuang, Juergen Gall, Silvia Zuffi, Cordelia Schmid, Michael J. Black:
Towards Understanding Action Recognition. ICCV 2013: 3192-3199 - [e1]Andrea Fossati, Juergen Gall, Helmut Grabner, Xiaofeng Ren, Kurt Konolige:
Consumer Depth Cameras for Computer Vision, Research Topics and Applications. Advances in Computer Vision and Pattern Recognition, Springer 2013, ISBN 978-1-4471-4639-1 [contents] - 2012
- [j8]Claudia Ermel, Frank Hermann, Jürgen Gall, Daniel Binanzer:
Visual Modeling and Analysis of EMF Model Transformations Based on Triple Graph Grammars. Electron. Commun. Eur. Assoc. Softw. Sci. Technol. 54 (2012) - [j7]Angela Yao, Juergen Gall, Luc Van Gool:
Coupled Action Recognition and Pose Estimation from Multiple Views. Int. J. Comput. Vis. 100(1): 16-37 (2012) - [c44]Marko Ristin, Juergen Gall, Luc Van Gool:
Local Context Priors for Object Proposal Generation. ACCV (1) 2012: 57-70 - [c43]Adolfo López-Mendez, Juergen Gall, Josep R. Casas, Luc Van Gool:
Metric Learning from Poses for Temporal Clustering of Human Motion. BMVC 2012: 1-12 - [c42]Nima Razavi, Nima Sedaghat Alvar, Juergen Gall, Luc Van Gool:
Sparsity Potentials for Detecting Objects with the Hough Transform. BMVC 2012: 1-10 - [c41]Matthias Dantone, Juergen Gall, Gabriele Fanelli, Luc Van Gool:
Real-time facial feature detection using conditional regression forests. CVPR 2012: 2578-2585 - [c40]Angela Yao, Juergen Gall, Christian Leistner, Luc Van Gool:
Interactive object detection. CVPR 2012: 3242-3249 - [c39]Stefano Pellegrini, Jürgen Gall, Leonid Sigal, Luc Van Gool:
Destination Flow for Crowd Simulation. ECCV Workshops (3) 2012: 162-171 - [c38]Nima Razavi, Juergen Gall, Pushmeet Kohli, Luc Van Gool:
Latent Hough Transform for Object Detection. ECCV (3) 2012: 312-325 - [c37]Luca Ballan, Aparna Taneja, Jürgen Gall, Luc Van Gool, Marc Pollefeys:
Motion Capture of Hands in Action Using Discriminative Salient Points. ECCV (6) 2012: 640-653 - [c36]Gabriele Fanelli, Juergen Gall, Luc Van Gool:
Real time 3D head pose estimation: Recent achievements and future challenges. ISCCSP 2012: 1-4 - 2011
- [j6]Juergen Gall, Angela Yao, Nima Razavi, Luc Van Gool, Victor S. Lempitsky:
Hough Forests for Object Detection, Tracking, and Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 33(11): 2188-2202 (2011) - [c35]Angela Yao, Juergen Gall, Gabriele Fanelli, Luc Van Gool:
Does Human Action Recognition Benefit from Pose Estimation?. BMVC 2011: 1-11 - [c34]Gabriele Fanelli, Juergen Gall, Luc Van Gool:
Real time head pose estimation with random regression forests. CVPR 2011: 617-624 - [c33]Yebin Liu, Carsten Stoll, Juergen Gall, Hans-Peter Seidel, Christian Theobalt:
Markerless motion capture of interacting characters using multi-view image segmentation. CVPR 2011: 1249-1256 - [c32]Nima Razavi, Juergen Gall, Luc Van Gool:
Scalable multi-class object detection. CVPR 2011: 1505-1512 - [c31]Helmut Grabner, Juergen Gall, Luc Van Gool:
What makes a chair a chair? CVPR 2011: 1529-1536 - [c30]Juergen Gall, Andrea Fossati, Luc Van Gool:
Functional categorization of objects using real-time markerless motion capture. CVPR 2011: 1969-1976 - [c29]Gabriele Fanelli, Thibaut Weise, Juergen Gall, Luc Van Gool:
Real Time Head Pose Estimation from Consumer Depth Cameras. DAGM-Symposium 2011: 101-110 - [c28]Claudia Ermel, Jürgen Gall, Leen Lambers, Gabriele Taentzer:
Modeling with Plausibility Checking: Inspecting Favorable and Critical Signs for Consistency between Control Flow and Functional Behavior. FASE 2011: 156-170 - [c27]Henning Hamer, Juergen Gall, Raquel Urtasun, Luc Van Gool:
Data-driven animation of hand-object interactions. FG 2011: 360-367 - [c26]Carsten Stoll, Nils Hasler, Juergen Gall, Hans-Peter Seidel, Christian Theobalt:
Fast articulated motion tracking using a sums of Gaussians body model. ICCV 2011: 951-958 - [c25]Gerard Pons-Moll, Andreas Baak, Juergen Gall, Laura Leal-Taixé, Meinard Müller, Hans-Peter Seidel, Bodo Rosenhahn:
Outdoor human motion capture using inverse kinematics and von mises-fisher sampling. ICCV 2011: 1243-1250 - [c24]Dominique Uebersax, Juergen Gall, Michael Van den Bergh, Luc Van Gool:
Real-time sign language letter and word recognition from depth data. ICCV Workshops 2011: 383-390 - [c23]Angela Yao, Juergen Gall, Luc Van Gool, Raquel Urtasun:
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities. NIPS 2011: 1359-1367 - [c22]Juergen Gall, Nima Razavi, Luc Van Gool:
An Introduction to Random Forests for Multi-class Object Detection. Theoretical Foundations of Computer Vision 2011: 243-263 - [c21]Gerard Pons-Moll, Laura Leal-Taixé, Juergen Gall, Bodo Rosenhahn:
Data-Driven Manifolds for Outdoor Motion Capture. Theoretical Foundations of Computer Vision 2011: 305-328 - 2010
- [j5]Juergen Gall, Bodo Rosenhahn, Thomas Brox, Hans-Peter Seidel:
Optimization and Filtering for Human Motion Capture. Int. J. Comput. Vis. 87(1-2): 75-92 (2010) - [j4]Thomas Brox, Bodo Rosenhahn, Juergen Gall, Daniel Cremers:
Combined Region and Motion-Based 3D Tracking of Rigid and Articulated Objects. IEEE Trans. Pattern Anal. Mach. Intell. 32(3): 402-415 (2010) - [j3]Gabriele Fanelli, Jürgen Gall, Harald Romsdorfer, Thibaut Weise, Luc Van Gool:
A 3-D Audio-Visual Corpus of Affective Communication. IEEE Trans. Multim. 12(6): 591-598 (2010) - [j2]Carsten Stoll, Juergen Gall, Edilson de Aguiar, Sebastian Thrun, Christian Theobalt:
Video-based reconstruction of animatable human characters. ACM Trans. Graph. 29(6): 139 (2010) - [c20]Juergen Gall, Nima Razavi, Luc Van Gool:
On-line Adaption of Class-specific Codebooks for Instance Tracking. BMVC 2010: 1-12 - [c19]Henning Hamer, Jürgen Gall, Thibaut Weise, Luc Van Gool:
An object-dependent hand pose prior from sparse training data. CVPR 2010: 671-678 - [c18]Angela Yao, Jürgen Gall, Luc Van Gool:
A Hough transform-based voting framework for action recognition. CVPR 2010: 2061-2068 - [c17]Angela Yao, Dominique Uebersax, Juergen Gall, Luc Van Gool:
Tracking People in Broadcast Sports. DAGM-Symposium 2010: 151-161 - [c16]Gabriele Fanelli, Angela Yao, Pierre-Luc Noel, Juergen Gall, Luc Van Gool:
Hough Forest-Based Facial Expression Recognition from Video Sequences. ECCV Workshops (1) 2010: 195-206 - [c15]Juergen Gall, Angela Yao, Luc Van Gool:
2D Action Recognition Serves 3D Human Pose Estimation. ECCV (3) 2010: 425-438 - [c14]Nima Razavi, Juergen Gall, Luc Van Gool:
Backprojection Revisited: Scalable Multi-view Object Detection and Similarity Metrics for Detections. ECCV (1) 2010: 620-633 - [c13]Daniel Waltisberg, Angela Yao, Juergen Gall, Luc Van Gool:
Variations of a Hough-Voting Action Recognition System. ICPR Contests 2010: 306-312
2000 – 2009
- 2009
- [b1]Juergen Gall:
Filtering and optimization strategies for markerless human motion capture with skeleton-based shape. Saarland University, Germany, 2009 - [c12]Gabriele Fanelli, Jürgen Gall, Luc Van Gool:
Hough Transform-based Mouth Localization for Audio-visual Speech Recognition. BMVC 2009: 1-11 - [c11]Nils Hasler, Bodo Rosenhahn, Thorsten Thormählen, Michael Wand, Juergen Gall, Hans-Peter Seidel:
Markerless Motion Capture with unsynchronized moving cameras. CVPR 2009: 224-231 - [c10]Juergen Gall, Victor S. Lempitsky:
Class-specific Hough forests for object detection. CVPR 2009: 1022-1029 - [c9]Juergen Gall, Carsten Stoll, Edilson de Aguiar, Christian Theobalt, Bodo Rosenhahn, Hans-Peter Seidel:
Motion capture using joint skeleton tracking and surface estimation. CVPR 2009: 1746-1753 - [c8]Mohammed Shaheen, Jürgen Gall, Robert Strzodka, Luc Van Gool, Hans-Peter Seidel:
A comparison of 3d model-based tracking approaches for human motion capture in uncontrolled environments. WACV 2009: 1-8 - 2008
- [c7]Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel:
Drift-free tracking of rigid and articulated objects. CVPR 2008 - [c6]Juergen Gall, Bodo Rosenhahn, Stefan Gehrig, Hans-Peter Seidel:
Model-Based Motion Capture for Crash Test Video Analysis. DAGM-Symposium 2008: 92-101 - 2007
- [j1]Jürgen Gall, Jürgen Potthoff, Christoph Schnörr, Bodo Rosenhahn, Hans-Peter Seidel:
Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications. J. Math. Imaging Vis. 28(1): 1-18 (2007) - [c5]Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel:
Clustered Stochastic Optimization for Object Recognition and Pose Estimation. DAGM-Symposium 2007: 32-41 - 2006
- [c4]Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel:
An Introduction to Interacting Simulated Annealing. Human Motion 2006: 319-345 - [c3]Stefan K. Gehrig, Hernán Badino, Juergen Gall:
Accurate and Model-free Pose Estimation of Crash Test Dummies. Human Motion 2006: 453-473 - [c2]Juergen Gall, Bodo Rosenhahn, Thomas Brox, Hans-Peter Seidel:
Learning for Multi-view 3D Tracking in the Context of Particle Filters. ISVC (2) 2006: 59-69 - [c1]Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel:
Robust Pose Estimation with 3D Textured Models. PSIVT 2006: 84-95
Coauthor Index
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