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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
- 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)- [i83]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) - [i82]Rania Briq, Chuhang Zou, Leonid Pishchulin, Chris Broaddus, Juergen Gall:
Recurrent Transformer Variational Autoencoders for Multi-Action Motion Synthesis. CoRR abs/2206.06741 (2022) - [i81]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) - 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]