default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDChristian Wolf 0001
Person information
- affiliation: INRIA, Chroma Team, Rhône-Alpes, France
- affiliation (former): INSA Lyon, LIRIS, France
Other persons with the same name
- Christian Wolf 0002 — University of Paderborn, DS&OR Lab
- Christian Wolf 0003
![[0000-0001-9883-7842]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9883-7842")
— Cologne University of Applied Sciences, Institute for Automation & Industrial IT, Germany - Christian Wolf 0004 — TU Dortmund, Department of Computer Science
- Christian Wolf 0005 — RMIT University, Faculty of Education, Language and Community Studies
- Christian Wolf 0006 — Saarland University, Germany
- Christian Wolf 0007 — Australian National University, Canberra, ACT, Australia (and 1 more)
- Christian Wolf 0008 — University of Innsbruck, Department of Radiology, Austria
- Christian Wolf 0009 — RWTH Aachen University, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c77]Gianluca Monaci, Leonid Antsfeld, Boris Chidlovskii, Christian Wolf:
Zero-BEV: Zero-shot Projection of Any First-Person Modality to BEV Maps. 3DV 2024: 495-505- [c76]Guillaume Bono, Hervé Poirier, Leonid Antsfeld, Gianluca Monaci, Boris Chidlovskii, Christian Wolf:
Learning to Navigate Efficiently and Precisely in Real Environments. CVPR 2024: 17837-17846 - [c75]Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf:
Task-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning. CVPR 2024: 17847-17856 - [c74]Guillaume Bono, Leonid Antsfeld, Boris Chidlovskii, Philippe Weinzaepfel, Christian Wolf:
End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon. ICLR 2024 - [c73]Guillaume Bono, Leonid Antsfeld, Assem Sadek, Gianluca Monaci, Christian Wolf:
Learning with a Mole: Transferable latent spatial representations for navigation without reconstruction. ICLR 2024 - [c72]Steeven Janny, Madiha Nadri, Julie Digne, Christian Wolf:
Space and time continuous physics simulation from partial observations. ICLR 2024 - [i50]Steeven Janny, Madiha Nadri, Julie Digne, Christian Wolf:
Space and Time Continuous Physics Simulation From Partial Observations. CoRR abs/2401.09198 (2024) - [i49]Assem Sadek, Guillaume Bono, Boris Chidlovskii, Atilla Baskurt, Christian Wolf:
Multi-Object Navigation in real environments using hybrid policies. CoRR abs/2401.13800 (2024) - [i48]Guillaume Bono, Hervé Poirier, Leonid Antsfeld, Gianluca Monaci, Boris Chidlovskii, Christian Wolf:
Learning to navigate efficiently and precisely in real environments. CoRR abs/2401.14349 (2024) - [i47]Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf:
Task-conditioned adaptation of visual features in multi-task policy learning. CoRR abs/2402.07739 (2024) - [i46]Gianluca Monaci, Leonid Antsfeld, Boris Chidlovskii, Christian Wolf:
Zero-BEV: Zero-shot Projection of Any First-Person Modality to BEV Maps. CoRR abs/2402.13848 (2024) - 2023
- [c71]Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf:
Multi-Object Navigation with dynamically learned neural implicit representations. ICCV 2023: 10970-10981 - [c70]Steeven Janny, Aurélien Béneteau, Madiha Nadri, Julie Digne, Nicolas Thome, Christian Wolf:
EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers. ICLR 2023 - [c69]Assem Sadek, Guillaume Bono, Boris Chidlovskii, Atilla Baskurt, Christian Wolf:
Multi-Object Navigation in real environments using hybrid policies. ICRA 2023: 4085-4091 - [c68]Sombit Dey, Assem Sadek, Gianluca Monaci, Boris Chidlovskii, Christian Wolf:
Learning Whom to Trust in Navigation: Dynamically Switching Between Classical and Neural Planning. IROS 2023: 5235-5242 - [i45]Steeven Janny, Aurélien Béneteau, Nicolas Thome, Madiha Nadri, Julie Digne, Christian Wolf:
Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers. CoRR abs/2302.10803 (2023) - [i44]Pierre Marza, Laëtitia Matignon, Olivier Simonin, Dhruv Batra, Christian Wolf, Devendra Singh Chaplot:
AutoNeRF: Training Implicit Scene Representations with Autonomous Agents. CoRR abs/2304.11241 (2023) - [i43]Guillaume Bono, Leonid Antsfeld, Assem Sadek, Gianluca Monaci, Christian Wolf:
Learning with a Mole: Transferable latent spatial representations for navigation without reconstruction. CoRR abs/2306.03857 (2023) - [i42]Sombit Dey, Assem Sadek, Gianluca Monaci, Boris Chidlovskii, Christian Wolf:
Learning whom to trust in navigation: dynamically switching between classical and neural planning. CoRR abs/2307.16710 (2023) - [i41]Guillaume Bono, Leonid Antsfeld, Boris Chidlovskii, Philippe Weinzaepfel, Christian Wolf:
End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon. CoRR abs/2309.16634 (2023) - 2022
- [j22]Theo Jaunet, Corentin Kervadec, Romain Vuillemot, Grigory Antipov, Moez Baccouche, Christian Wolf:
VisQA: X-raying Vision and Language Reasoning in Transformers. IEEE Trans. Vis. Comput. Graph. 28(1): 976-986 (2022) - [c67]Steeven Janny, Quentin Possamaï, Laurent Bako, Christian Wolf, Madiha Nadri:
Learning Reduced Nonlinear State-Space Models: an Output-Error Based Canonical Approach. CDC 2022: 150-155 - [c66]Steeven Janny, Fabien Baradel, Natalia Neverova, Madiha Nadri, Greg Mori, Christian Wolf:
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space. ICLR 2022 - [c65]Assem Sadek, Guillaume Bono, Boris Chidlovskii, Christian Wolf:
An in-depth experimental study of sensor usage and visual reasoning of robots navigating in real environments. ICRA 2022: 9425-9431 - [c64]Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf:
Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation. IROS 2022: 1725-1732 - [i40]Steeven Janny, Fabien Baradel, Natalia Neverova, Madiha Nadri, Greg Mori, Christian Wolf:
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space. CoRR abs/2202.00368 (2022) - [i39]Quentin Possamaï, Steeven Janny, Guillaume Bono, Madiha Nadri, Laurent Bako, Christian Wolf:
MoCap-less Quantitative Evaluation of Ego-Pose Estimation Without Ground Truth Measurements. CoRR abs/2202.00403 (2022) - [i38]Pierre Marza, Corentin Kervadec, Grigory Antipov, Moez Baccouche, Christian Wolf:
An experimental study of the vision-bottleneck in VQA. CoRR abs/2202.06858 (2022) - [i37]Quentin Possamaï, Steeven Janny, Madiha Nadri, Laurent Bako, Christian Wolf:
Learning to estimate UAV created turbulence from scene structure observed by onboard cameras. CoRR abs/2203.14726 (2022) - [i36]Steeven Janny, Quentin Possamaï, Laurent Bako, Madiha Nadri, Christian Wolf:
Learning Reduced Nonlinear State-Space Models: an Output-Error Based Canonical Approach. CoRR abs/2206.04791 (2022) - [i35]Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf:
Multi-Object Navigation with dynamically learned neural implicit representations. CoRR abs/2210.05129 (2022) - 2021
- [c63]Steeven Janny, Vincent Andrieu, Madiha Nadri, Christian Wolf:
Deep KKL: Data-driven Output Prediction for Non-Linear Systems. CDC 2021: 4376-4381 - [c62]Corentin Kervadec, Grigory Antipov, Moez Baccouche, Christian Wolf:
Roses Are Red, Violets Are Blue... but Should VQA Expect Them To? CVPR 2021: 2776-2785 - [c61]Corentin Kervadec, Theo Jaunet, Grigory Antipov, Moez Baccouche, Romain Vuillemot, Christian Wolf:
How Transferable Are Reasoning Patterns in VQA? CVPR 2021: 4207-4216 - [c60]Brendan Duke, Abdalla Ahmed, Christian Wolf, Parham Aarabi, Graham W. Taylor:
SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation. CVPR 2021: 5912-5921 - [c59]Corentin Kervadec, Christian Wolf, Grigory Antipov, Moez Baccouche, Madiha Nadri:
Supervising the Transfer of Reasoning Patterns in VQA. NeurIPS 2021: 18256-18267 - [i34]Brendan Duke, Abdalla Ahmed, Christian Wolf, Parham Aarabi, Graham W. Taylor:
SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation. CoRR abs/2101.08833 (2021) - [i33]Steeven Janny, Vincent Andrieu, Madiha Nadri, Christian Wolf:
Deep KKL: Data-driven Output Prediction for Non-Linear Systems. CoRR abs/2103.12443 (2021) - [i32]Theo Jaunet, Corentin Kervadec, Romain Vuillemot, Grigory Antipov, Moez Baccouche, Christian Wolf:
VisQA: X-raying Vision and Language Reasoning in Transformers. CoRR abs/2104.00926 (2021) - [i31]Corentin Kervadec, Theo Jaunet, Grigory Antipov, Moez Baccouche, Romain Vuillemot, Christian Wolf:
How Transferable are Reasoning Patterns in VQA? CoRR abs/2104.03656 (2021) - [i30]Corentin Kervadec, Christian Wolf, Grigory Antipov, Moez Baccouche, Madiha Nadri:
Supervising the Transfer of Reasoning Patterns in VQA. CoRR abs/2106.05597 (2021) - [i29]Boris Chidlovskii, Assem Sadek, Christian Wolf:
Universal Domain Adaptation in Ordinal Regression. CoRR abs/2106.11576 (2021) - [i28]Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf:
Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation. CoRR abs/2107.06011 (2021) - [i27]Theo Jaunet, Guillaume Bono, Romain Vuillemot, Christian Wolf:
SIM2REALVIZ: Visualizing the Sim2Real Gap in Robot Ego-Pose Estimation. CoRR abs/2109.11801 (2021) - [i26]Eric Guérin, Killian Oechslin, Christian Wolf, Benoît Martinez:
Satellite Image Semantic Segmentation. CoRR abs/2110.05812 (2021) - [i25]Assem Sadek, Guillaume Bono, Boris Chidlovskii, Christian Wolf:
An in-depth experimental study of sensor usage and visual reasoning of robots navigating in real environments. CoRR abs/2111.14666 (2021) - [i24]Edward Beeching, Jilles Dibangoye, Olivier Simonin, Christian Wolf:
Godot Reinforcement Learning Agents. CoRR abs/2112.03636 (2021) - [i23]Edward Beeching, Maxim Peter, Philippe Marcotte, Jilles Dibangoye, Olivier Simonin, Joshua Romoff, Christian Wolf:
Graph augmented Deep Reinforcement Learning in the GameRLand3D environment. CoRR abs/2112.11731 (2021) - 2020
- [j21]Theo Jaunet, Romain Vuillemot, Christian Wolf:
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning. Comput. Graph. Forum 39(3): 49-61 (2020) - [c58]Johan Peralez, Francesco Galuppo, Pascal Dufour, Christian Wolf, Madiha Nadri:
Data-driven multi-model control for a waste heat recovery system. CDC 2020: 5501-5506 - [c57]Corentin Kervadec, Grigory Antipov, Moez Baccouche, Christian Wolf:
Weak Supervision Helps Emergence of Word-Object Alignment and Improves Vision-Language Tasks. ECAI 2020: 2728-2735 - [c56]Edward Beeching, Jilles Dibangoye, Olivier Simonin, Christian Wolf:
Learning to Plan with Uncertain Topological Maps. ECCV (3) 2020: 473-490 - [c55]Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf:
CoPhy: Counterfactual Learning of Physical Dynamics. ICLR 2020 - [c54]Edward Beeching, Jilles Dibangoye, Olivier Simonin, Christian Wolf:
Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer. ICPR 2020: 158-165 - [c53]Edward Beeching, Jilles Dibangoye, Olivier Simonin, Christian Wolf:
EgoMap: Projective Mapping and Structured Egocentric Memory for Deep RL. ECML/PKDD (2) 2020: 525-540 - [d1]Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf:
Cophy: Counterfactual Learning of Physical Dynamics. IEEE DataPort, 2020
- [i22]Edward Beeching, Christian Wolf, Jilles Dibangoye, Olivier Simonin:
EgoMap: Projective mapping and structured egocentric memory for Deep RL. CoRR abs/2002.02286 (2020) - [i21]Corentin Kervadec, Grigory Antipov, Moez Baccouche, Christian Wolf:
Roses Are Red, Violets Are Blue... but Should Vqa Expect Them To? CoRR abs/2006.05121 (2020) - [i20]Corentin Kervadec, Grigory Antipov, Moez Baccouche, Christian Wolf:
Estimating semantic structure for the VQA answer space. CoRR abs/2006.05726 (2020) - [i19]Edward Beeching, Jilles Dibangoye, Olivier Simonin, Christian Wolf:
Learning to plan with uncertain topological maps. CoRR abs/2007.05270 (2020)
2010 – 2019
- 2019
- [j20]Özgür Erkent, Christian Wolf, Christian Laugier:
End-to-End Learning of Semantic Grid Estimation Deep Neural Network with Occupancy Grids. Unmanned Syst. 7(3): 171-181 (2019) - [c52]Anshul Paigwar, Özgür Erkent, Christian Wolf, Christian Laugier:
Attentional PointNet for 3D-Object Detection in Point Clouds. CVPR Workshops 2019: 108-117 - [c51]Anshul Paigwar, Özgür Erkent, Christian Wolf, Christian Laugier:
Attentional PointNet for 3D-Object Detection in Point Clouds. CVPR Workshops 2019: 1297-1306 - [c50]Quentin Debard, Jilles Steeve Dibangoye, Stéphane Canu, Christian Wolf:
Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-agent Reinforcement Learning. ECML/PKDD (3) 2019: 35-52 - [i18]Edward Beeching, Christian Wolf, Jilles Dibangoye, Olivier Simonin:
Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer. CoRR abs/1904.01806 (2019) - [i17]Quentin Debard, Jilles Steeve Dibangoye, Stéphane Canu, Christian Wolf:
Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-Agent Reinforcement Learning. CoRR abs/1904.07802 (2019) - [i16]Theo Jaunet, Romain Vuillemot, Christian Wolf:
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning. CoRR abs/1909.02982 (2019) - [i15]Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf:
COPHY: Counterfactual Learning of Physical Dynamics. CoRR abs/1909.12000 (2019) - [i14]Corentin Kervadec, Grigory Antipov, Moez Baccouche, Christian Wolf:
Weak Supervision helps Emergence of Word-Object Alignment and improves Vision-Language Tasks. CoRR abs/1912.03063 (2019) - 2018
- [j19]Emre Dogan, Gonen Eren, Christian Wolf, Eric Lombardi, Atilla Baskurt:
Multi-view pose estimation with mixtures of parts and adaptive viewpoint selection. IET Comput. Vis. 12(4): 403-411 (2018) - [j18]Bastien Moysset, Christopher Kermorvant, Christian Wolf:
Learning to detect, localize and recognize many text objects in document images from few examples. Int. J. Document Anal. Recognit. 21(3): 161-175 (2018) - [c49]Fabien Baradel, Christian Wolf, Julien Mille:
Human Activity Recognition with Pose-driven Attention to RGB. BMVC 2018: 200 - [c48]Fabien Baradel, Christian Wolf, Julien Mille, Graham W. Taylor:
Glimpse Clouds: Human Activity Recognition From Unstructured Feature Points. CVPR 2018: 469-478 - [c47]Fabien Baradel, Natalia Neverova, Christian Wolf, Julien Mille, Greg Mori:
Object Level Visual Reasoning in Videos. ECCV (13) 2018: 106-122 - [c46]Quentin Debard, Christian Wolf, Stéphane Canu, Julien Arné:
Learning to Recognize Touch Gestures: Recurrent vs. Convolutional Features and Dynamic Sampling. FG 2018: 114-121 - [c45]Özgür Erkent, Christian Wolf, Christian Laugier:
Semantic Grid Estimation with Occupancy Grids and Semantic Segmentation Networks. ICARCV 2018: 1051-1056 - [c44]Özgür Erkent, Christian Wolf, Christian Laugier, David Sierra González, Victor Romero-Cano:
Semantic Grid Estimation with a Hybrid Bayesian and Deep Neural Network Approach. IROS 2018: 888-895 - [c43]Fabrice Jumel, Jacques Saraydaryan, Raphael Leber, Laëtitia Matignon, Eric Lombardi, Christian Wolf, Olivier Simonin:
Context Aware Robot Architecture, Application to the RoboCup@Home Challenge. RoboCup 2018: 205-216 - [i13]Fabien Baradel, Christian Wolf, Julien Mille, Graham W. Taylor:
Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points. CoRR abs/1802.07898 (2018) - [i12]Quentin Debard, Christian Wolf, Stéphane Canu, Julien Arné:
Learning to recognize touch gestures: recurrent vs. convolutional features and dynamic sampling. CoRR abs/1802.09901 (2018) - [i11]Fabien Baradel, Natalia Neverova, Christian Wolf, Julien Mille, Greg Mori:
Object Level Visual Reasoning in Videos. CoRR abs/1806.06157 (2018) - 2017
- [j17]Natalia Neverova, Christian Wolf, Florian Nebout, Graham W. Taylor:
Hand pose estimation through semi-supervised and weakly-supervised learning. Comput. Vis. Image Underst. 164: 56-67 (2017) - [j16]Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Natalia Neverova, Alain Trémeau, Christian Wolf:
Multi-task, multi-domain learning: Application to semantic segmentation and pose regression. Neurocomputing 251: 68-80 (2017) - [j15]Éric Guérin, Julie Digne, Eric Galin, Adrien Peytavie, Christian Wolf, Bedrich Benes, Benoît Martinez:
Interactive example-based terrain authoring with conditional generative adversarial networks. ACM Trans. Graph. 36(6): 228:1-228:13 (2017) - [c42]Emre Dogan, Gonen Eren, Christian Wolf, Eric Lombardi, Atilla Baskurt:
Multi-view Pose Estimation with Flexible Mixtures-of-Parts. ACIVS 2017: 180-190 - [c41]Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf:
Residual Conv-Deconv Grid Network for Semantic Segmentation. BMVC 2017 - [c40]Fan Li, Natalia Neverova, Christian Wolf, Graham W. Taylor:
Modout: Learning Multi-Modal Architectures by Stochastic Regularization. FG 2017: 422-429 - [c39]Fabien Baradel, Christian Wolf, Julien Mille:
Human Action Recognition: Pose-Based Attention Draws Focus to Hands. ICCV Workshops 2017: 604-613 - [c38]Bastien Moysset, Christopher Kermorvant, Christian Wolf:
Full-Page Text Recognition: Learning Where to Start and When to Stop. ICDAR 2017: 871-876 - [i10]Fabien Baradel, Christian Wolf, Julien Mille:
Pose-conditioned Spatio-Temporal Attention for Human Action Recognition. CoRR abs/1703.10106 (2017) - [i9]Bastien Moysset, Christopher Kermorvant, Christian Wolf:
Full-Page Text Recognition: Learning Where to Start and When to Stop. CoRR abs/1704.08628 (2017) - [i8]Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf:
Residual Conv-Deconv Grid Network for Semantic Segmentation. CoRR abs/1707.07958 (2017) - [i7]Emre Dogan, Gonen Eren, Christian Wolf, Eric Lombardi, Atilla Baskurt:
Multi-view pose estimation with mixtures-of-parts and adaptive viewpoint selection. CoRR abs/1709.08527 (2017) - [i6]Fabien Baradel, Christian Wolf, Julien Mille:
Human Action Recognition: Pose-based Attention draws focus to Hands. CoRR abs/1712.08002 (2017) - 2016
- [j14]Natalia Neverova, Christian Wolf, Griffin Lacey, Lex Fridman, Deepak Chandra, Brandon Barbello, Graham W. Taylor:
Learning Human Identity From Motion Patterns. IEEE Access 4: 1810-1820 (2016) - [j13]Natalia Neverova, Christian Wolf, Graham W. Taylor, Florian Nebout:
ModDrop: Adaptive Multi-Modal Gesture Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 38(8): 1692-1706 (2016) - [j12]Alaeddine Mihoub, Gérard Bailly, Christian Wolf, Frédéric Elisei:
Graphical models for social behavior modeling in face-to face interaction. Pattern Recognit. Lett. 74: 82-89 (2016) - [c37]Bastien Moysset, Jérôme Louradour, Christopher Kermorvant, Christian Wolf:
Learning Text-Line Localization with Shared and Local Regression Neural Networks. ICFHR 2016: 1-6 - [c36]Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf:
Mixed pooling neural networks for color constancy. ICIP 2016: 3997-4001 - [c35]Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf:
Semantic Segmentation via Multi-task, Multi-domain Learning. S+SSPR 2016: 333-343 - [i5]Bastien Moysset, Christopher Kermorvant, Christian Wolf:
Learning to detect and localize many objects from few examples. CoRR abs/1611.05664 (2016) - 2015
- [j11]Oya Çeliktutan, Christian Wolf, Bülent Sankur, Eric Lombardi:
Fast Exact Hyper-graph Matching with Dynamic Programming for Spatio-temporal Data. J. Math. Imaging Vis. 51(1): 1-21 (2015) - [j10]Alaeddine Mihoub, Gérard Bailly, Christian Wolf, Frédéric Elisei:
Learning multimodal behavioral models for face-to-face social interaction. J. Multimodal User Interfaces 9(3): 195-210 (2015) - [c34]Leslie Guillaume, Véronique Aubergé, Romain Magnani, Frédéric Aman, Cecile Cottier, Yuko Sasa, Christian Wolf, Florian Nebout, Natalia Neverova, Nicolas Bonnefond, Amaury Nègre, Liliya Tsvetanova, Maxence Girard-Rivier:
HRI in an ecological dynamic experiment: The GEE corpus based approach for the Emox robot. ARSO 2015: 1-6 - [c33]Bastien Moysset, Pierre Adam, Christian Wolf, Jérôme Louradour:
Space Displacement Localization Neural Networks to locate origin points of handwritten text lines in historical documents. HIP@ICDAR 2015: 1-8 - [c32]Bastien Moysset, Christopher Kermorvant, Christian Wolf, Jérôme Louradour:
Paragraph text segmentation into lines with Recurrent Neural Networks. ICDAR 2015: 456-460 - [c31]Emre Dogan, Gonen Eren, Christian Wolf, Atilla Baskurt:
Activity recognition with volume motion templates and histograms of 3D gradients. ICIP 2015: 4421-4425 - [i4]Natalia Neverova, Christian Wolf, Graham W. Taylor, Florian Nebout:
ModDrop: adaptive multi-modal gesture recognition. CoRR abs/1501.00102 (2015) - [i3]Eric Lombardi, Christian Wolf, Oya Çeliktutan, Bülent Sankur:
Activity recognition from videos with parallel hypergraph matching on GPUs. CoRR abs/1505.00581 (2015) - [i2]Natalia Neverova, Christian Wolf, Griffin Lacey, Lex Fridman, Deepak Chandra, Brandon Barbello, Graham W. Taylor:
Learning Human Identity from Motion Patterns. CoRR abs/1511.03908 (2015) - [i1]Natalia Neverova, Christian Wolf, Florian Nebout, Graham W. Taylor:
Hand Pose Estimation through Weakly-Supervised Learning of a Rich Intermediate Representation. CoRR abs/1511.06728 (2015) - 2014
- [j9]Christian Wolf, Eric Lombardi, Julien Mille, Oya Çeliktutan, Mingyuan Jiu, Emre Dogan, Gonen Eren, Moez Baccouche, Emmanuel Dellandréa, Charles-Edmond Bichot, Christophe Garcia, Bülent Sankur:
Evaluation of video activity localizations integrating quality and quantity measurements. Comput. Vis. Image Underst. 127: 14-30 (2014) - [j8]Mingyuan Jiu, Christian Wolf, Graham W. Taylor, Atilla Baskurt:
Human body part estimation from depth images via spatially-constrained deep learning. Pattern Recognit. Lett. 50: 122-129 (2014) - [c30]Natalia Neverova, Christian Wolf, Graham W. Taylor, Florian Nebout:
Hand Segmentation with Structured Convolutional Learning. ACCV (3) 2014: 687-702 - [c29]