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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
- 2021
[j25]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)- [i70]Sovan Biswas, Juergen Gall:
Discovering Multi-Label Actor-Action Association in a Weakly Supervised Setting. CoRR abs/2101.08567 (2021) - [i69]Sovan Biswas, Yaser Souri, Juergen Gall:
Hierarchical Graph-RNNs for Action Detection of Multiple Activities. CoRR abs/2101.08581 (2021) - [i68]Julian Tanke, Juergen Gall:
Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Views. CoRR abs/2101.09745 (2021) - [i67]Zhe Li, Yazan Abu Farha, Juergen Gall:
Temporal Action Segmentation from Timestamp Supervision. CoRR abs/2103.06669 (2021) - [i66]Vadim Sushko, Juergen Gall, Anna Khoreva:
One-Shot GAN: Learning to Generate Samples from Single Images and Videos. CoRR abs/2103.13389 (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 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 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]