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ORCIDChristian Rupprecht 0001
Person information
- affiliation: University of Oxford, Visual Geometry Group, UK
- affiliation (PhD 2018): Technical University of Munich, Germany
- affiliation: Johns Hopkins University, Computer Aided Medical Procedures, Baltimore, USA
Other persons with the same name
- Christian Rupprecht 0002 — Karlsruhe Institute of Technology, Germany (and 1 more)
- Christian Rupprecht 0003 — TU Berlin, Chair of Coating Technology, Germany
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2020 – today
- 2024
[j5]Raza Yunus, Jan Eric Lenssen, Michael Niemeyer, Yiyi Liao, Christian Rupprecht, Christian Theobalt, Gerard Pons-Moll, Jia-Bin Huang, Vladislav Golyanik, Eddy Ilg:
Recent Trends in 3D Reconstruction of General Non-Rigid Scenes. Comput. Graph. Forum 43(2): i-iii (2024)- [j4]Subhabrata Choudhury
, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
The Curious Layperson: Fine-Grained Image Recognition Without Expert Labels. Int. J. Comput. Vis. 132(2): 537-554 (2024) - [c59]Adrian Hayler, Felix Wimbauer, Dominik Muhle, Christian Rupprecht, Daniel Cremers:
S4C: Self-Supervised Semantic Scene Completion With Neural Fields. 3DV 2024: 409-420 - [c58]Tomas Jakab, Ruining Li, Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion. 3DV 2024: 852-861 - [c57]Felix Wimbauer, Bichen Wu, Edgar Schönfeld, Xiaoliang Dai, Ji Hou, Zijian He, Artsiom Sanakoyeu, Peizhao Zhang, Sam S. Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, Jialiang Wang:
Cache Me if You Can: Accelerating Diffusion Models through Block Caching. CVPR 2024: 6211-6220 - [c56]Zizhang Li, Dor Litvak, Ruining Li, Yunzhi Zhang, Tomas Jakab, Christian Rupprecht, Shangzhe Wu, Andrea Vedaldi, Jiajun Wu:
Learning the 3D Fauna of the Web. CVPR 2024: 9752-9762 - [c55]Stanislaw Szymanowicz, Christian Rupprecht, Andrea Vedaldi:
Splatter Image: Ultra-Fast Single-View 3D Reconstruction. CVPR 2024: 10208-10217 - [c54]Jianyuan Wang, Nikita Karaev, Christian Rupprecht, David Novotný:
VGGSfM: Visual Geometry Grounded Deep Structure from Motion. CVPR 2024: 21686-21697 - [c53]Nina Shvetsova, Anna Kukleva, Xudong Hong, Christian Rupprecht, Bernt Schiele, Hilde Kuehne:
HowToCaption: Prompting LLMs to Transform Video Annotations at Scale. ECCV (56) 2024: 1-18 - [c52]Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht:
CoTracker: It Is Better to Track Together. ECCV (62) 2024: 18-35 - [c51]Go Ohtani, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka, Yoshimitsu Aoki:
Rethinking Image Super-Resolution from Training Data Perspectives. ECCV (17) 2024: 19-36 - [c50]Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi:
SHIC: Shape-Image Correspondences with No Keypoint Supervision. ECCV (37) 2024: 129-145 - [c49]Ryo Nakamura, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka:
Scaling Backwards: Minimal Synthetic Pre-Training? ECCV (15) 2024: 153-171 - [c48]Ruining Li, Chuanxia Zheng, Christian Rupprecht, Andrea Vedaldi:
DragAPart: Learning a Part-Level Motion Prior for Articulated Objects. ECCV (2) 2024: 165-183 - [c47]Jinghao Zhou, Tomas Jakab, Philip Torr, Christian Rupprecht:
Scene-Conditional 3D Object Stylization and Composition. ECCV (68) 2024: 289-305 - [c46]Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht:
Diffusion Models for Open-Vocabulary Segmentation. ECCV (5) 2024: 299-317 - [c45]Orest Kupyn, Christian Rupprecht:
Dataset Enhancement with Instance-Level Augmentations. ECCV (23) 2024: 384-402 - [c44]Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Natalia Neverova, Andrea Vedaldi, Oran Gafni, Filippos Kokkinos:
IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation. ICML 2024 - [i74]Zizhang Li, Dor Litvak, Ruining Li, Yunzhi Zhang, Tomas Jakab, Christian Rupprecht, Shangzhe Wu, Andrea Vedaldi, Jiajun Wu:
Learning the 3D Fauna of the Web. CoRR abs/2401.02400 (2024) - [i73]Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Natalia Neverova, Andrea Vedaldi, Oran Gafni, Filippos Kokkinos:
IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation. CoRR abs/2402.08682 (2024) - [i72]Raza Yunus, Jan Eric Lenssen, Michael Niemeyer, Yiyi Liao, Christian Rupprecht, Christian Theobalt, Gerard Pons-Moll, Jia-Bin Huang, Vladislav Golyanik, Eddy Ilg:
Recent Trends in 3D Reconstruction of General Non-Rigid Scenes. CoRR abs/2403.15064 (2024) - [i71]Ruining Li, Chuanxia Zheng, Christian Rupprecht, Andrea Vedaldi:
DragAPart: Learning a Part-Level Motion Prior for Articulated Objects. CoRR abs/2403.15382 (2024) - [i70]Paul Engstler, Andrea Vedaldi, Iro Laina, Christian Rupprecht:
Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting. CoRR abs/2404.19758 (2024) - [i69]Stanislaw Szymanowicz, Eldar Insafutdinov, Chuanxia Zheng, Dylan Campbell, João F. Henriques, Christian Rupprecht, Andrea Vedaldi:
Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Image. CoRR abs/2406.04343 (2024) - [i68]Orest Kupyn, Christian Rupprecht:
Dataset Enhancement with Instance-Level Augmentations. CoRR abs/2406.08249 (2024) - [i67]Orest Kupyn, Eugene Khvedchenia, Christian Rupprecht:
VGGHeads: A Large-Scale Synthetic Dataset for 3D Human Heads. CoRR abs/2407.18245 (2024) - [i66]Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi:
SHIC: Shape-Image Correspondences with no Keypoint Supervision. CoRR abs/2407.18907 (2024) - [i65]Walid Bousselham, Sofian Chaybouti, Christian Rupprecht, Vittorio Ferrari, Hilde Kuehne:
MaskInversion: Localized Embeddings via Optimization of Explainability Maps. CoRR abs/2407.20034 (2024) - [i64]Ryo Nakamura, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka:
Scaling Backwards: Minimal Synthetic Pre-training? CoRR abs/2408.00677 (2024) - [i63]Ruining Li, Chuanxia Zheng, Christian Rupprecht, Andrea Vedaldi:
Puppet-Master: Scaling Interactive Video Generation as a Motion Prior for Part-Level Dynamics. CoRR abs/2408.04631 (2024) - [i62]Go Ohtani, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka, Yoshimitsu Aoki:
Rethinking Image Super-Resolution from Training Data Perspectives. CoRR abs/2409.00768 (2024) - [i61]Lorenza Prospero, Abdullah Hamdi, João F. Henriques, Christian Rupprecht:
GST: Precise 3D Human Body from a Single Image with Gaussian Splatting Transformers. CoRR abs/2409.04196 (2024) - [i60]Qianyi Deng, Oishi Deb, Amir Patel, Christian Rupprecht, Philip Torr, Niki Trigoni, Andrew Markham:
Towards Multi-Modal Animal Pose Estimation: An In-Depth Analysis. CoRR abs/2410.09312 (2024) - [i59]Nikita Karaev, Iurii Makarov, Jianyuan Wang, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht:
CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos. CoRR abs/2410.11831 (2024) - [i58]Kumud Lakara, Juil Sock, Christian Rupprecht, Philip Torr, John Collomosse, Christian Schröder de Witt:
MAD-Sherlock: Multi-Agent Debates for Out-of-Context Misinformation Detection. CoRR abs/2410.20140 (2024) - [i57]Ben Kaye, Tomas Jakab, Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction. CoRR abs/2412.04464 (2024) - 2023
- [j3]Shangzhe Wu, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi:
DOVE: Learning Deformable 3D Objects by Watching Videos. Int. J. Comput. Vis. 131(10): 2623-2634 (2023) - [j2]Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild (Invited Paper). IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5268-5281 (2023) - [c43]Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
RealFusion 360° Reconstruction of Any Object from a Single Image. CVPR 2023: 8446-8455 - [c42]Shangzhe Wu, Ruining Li, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi:
MagicPony: Learning Articulated 3D Animals in the Wild. CVPR 2023: 8792-8802 - [c41]Felix Wimbauer, Nan Yang, Christian Rupprecht, Daniel Cremers:
Behind the Scenes: Density Fields for Single View Reconstruction. CVPR 2023: 9076-9086 - [c40]Luke Melas-Kyriazi, Christian Rupprecht, Andrea Vedaldi:
PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction. CVPR 2023: 12923-12932 - [c39]Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht:
DynamicStereo: Consistent Dynamic Depth from Stereo Videos. CVPR 2023: 13229-13239 - [c38]Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, Christian Rupprecht:
Continual Detection Transformer for Incremental Object Detection. CVPR 2023: 23799-23808 - [c37]Stanislaw Szymanowicz, Christian Rupprecht, Andrea Vedaldi:
Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data. ICCV 2023: 8829-8839 - [c36]Jianyuan Wang, Christian Rupprecht, David Novotný:
PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment. ICCV 2023: 9739-9749 - [c35]Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi:
What does CLIP know about a red circle? Visual prompt engineering for VLMs. ICCV 2023: 11953-11963 - [c34]Aleksandar Shtedritski, Andrea Vedaldi, Christian Rupprecht:
Learning Universal Semantic Correspondences with No Supervision and Automatic Data Curation. ICCV (Workshops) 2023: 933-943 - [c33]Anna Kukleva, Moritz Böhle, Bernt Schiele, Hilde Kuehne, Christian Rupprecht:
Temperature Schedules for self-supervised contrastive methods on long-tail data. ICLR 2023 - [i56]Felix Wimbauer, Nan Yang, Christian Rupprecht, Daniel Cremers:
Behind the Scenes: Density Fields for Single View Reconstruction. CoRR abs/2301.07668 (2023) - [i55]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
RealFusion: 360° Reconstruction of Any Object from a Single Image. CoRR abs/2302.10663 (2023) - [i54]Luke Melas-Kyriazi, Christian Rupprecht, Andrea Vedaldi:
PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction. CoRR abs/2302.10668 (2023) - [i53]Anna Kukleva, Moritz Böhle, Bernt Schiele, Hilde Kuehne, Christian Rupprecht:
Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data. CoRR abs/2303.13664 (2023) - [i52]Yaoyao Liu, Bernt Schiele, Andrea Vedaldi, Christian Rupprecht:
Continual Detection Transformer for Incremental Object Detection. CoRR abs/2304.03110 (2023) - [i51]Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi:
What does CLIP know about a red circle? Visual prompt engineering for VLMs. CoRR abs/2304.06712 (2023) - [i50]Tomas Jakab, Ruining Li, Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion. CoRR abs/2304.10535 (2023) - [i49]Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht:
DynamicStereo: Consistent Dynamic Depth from Stereo Videos. CoRR abs/2305.02296 (2023) - [i48]Stanislaw Szymanowicz, Christian Rupprecht, Andrea Vedaldi:
Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data. CoRR abs/2306.07881 (2023) - [i47]Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht:
Diffusion Models for Zero-Shot Open-Vocabulary Segmentation. CoRR abs/2306.09316 (2023) - [i46]Jianyuan Wang, Christian Rupprecht, David Novotný:
PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment. CoRR abs/2306.15667 (2023) - [i45]Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht:
CoTracker: It is Better to Track Together. CoRR abs/2307.07635 (2023) - [i44]Nina Shvetsova, Anna Kukleva, Xudong Hong, Christian Rupprecht, Bernt Schiele, Hilde Kuehne:
HowToCaption: Prompting LLMs to Transform Video Annotations at Scale. CoRR abs/2310.04900 (2023) - [i43]Adrian Hayler, Felix Wimbauer, Dominik Muhle, Christian Rupprecht, Daniel Cremers:
S4C: Self-Supervised Semantic Scene Completion with Neural Fields. CoRR abs/2310.07522 (2023) - [i42]Paul Engstler, Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina:
Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation. CoRR abs/2311.14665 (2023) - [i41]Felix Wimbauer, Bichen Wu, Edgar Schönfeld, Xiaoliang Dai, Ji Hou, Zijian He, Artsiom Sanakoyeu, Peizhao Zhang, Sam S. Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, Jialiang Wang:
Cache Me if You Can: Accelerating Diffusion Models through Block Caching. CoRR abs/2312.03209 (2023) - [i40]Jianyuan Wang, Nikita Karaev, Christian Rupprecht, David Novotný:
Visual Geometry Grounded Deep Structure From Motion. CoRR abs/2312.04563 (2023) - [i39]Jinghao Zhou, Tomas Jakab, Philip Torr, Christian Rupprecht:
Scene-Conditional 3D Object Stylization and Composition. CoRR abs/2312.12419 (2023) - [i38]Stanislaw Szymanowicz, Christian Rupprecht, Andrea Vedaldi:
Splatter Image: Ultra-Fast Single-View 3D Reconstruction. CoRR abs/2312.13150 (2023) - 2022
- [c32]Subhabrata Choudhury, Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht:
Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion. BMVC 2022: 554 - [c31]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization. CVPR 2022: 8354-8365 - [c30]Felix Wimbauer, Shangzhe Wu, Christian Rupprecht:
De-rendering 3D Objects in the Wild. CVPR 2022: 18469-18478 - [c29]Laura Hanu, James Thewlis, Yuki M. Asano, Christian Rupprecht:
VTC: Improving Video-Text Retrieval with User Comments. ECCV (35) 2022: 616-633 - [c28]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
Finding an Unsupervised Image Segmenter in each of your Deep Generative Models. ICLR 2022 - [c27]Laurynas Karazija, Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Multi-Object Segmentation by Predicting Probable Motion Patterns. NeurIPS 2022 - [i37]Felix Wimbauer, Shangzhe Wu, Christian Rupprecht:
De-rendering 3D Objects in the Wild. CoRR abs/2201.02279 (2022) - [i36]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization. CoRR abs/2205.07839 (2022) - [i35]Subhabrata Choudhury, Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht:
Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion. CoRR abs/2205.07844 (2022) - [i34]Laura Hanu, James Thewlis, Yuki M. Asano, Christian Rupprecht:
VTC: Improving Video-Text Retrieval with User Comments. CoRR abs/2210.10820 (2022) - [i33]Laurynas Karazija, Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns. CoRR abs/2210.12148 (2022) - [i32]Shangzhe Wu, Ruining Li, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi:
MagicPony: Learning Articulated 3D Animals in the Wild. CoRR abs/2211.12497 (2022) - 2021
- [c26]Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
The Curious Layperson: Fine-Grained Image Recognition without Expert Labels. BMVC 2021: 117 - [c25]Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja, Christian Rupprecht, Seong Tae Kim, Nassir Navab:
Neural Response Interpretation Through the Lens of Critical Pathways. CVPR 2021: 13528-13538 - [c24]Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild (Extended Abstract). IJCAI 2021: 4854-4858 - [c23]Yuki M. Asano, Christian Rupprecht, Andrew Zisserman, Andrea Vedaldi:
PASS: An ImageNet replacement for self-supervised pretraining without humans. NeurIPS Datasets and Benchmarks 2021 - [c22]Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Part Discovery from Contrastive Reconstruction. NeurIPS 2021: 28104-28118 - [c21]Laurynas Karazija, Iro Laina, Christian Rupprecht:
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation. NeurIPS Datasets and Benchmarks 2021 - [i31]Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja, Christian Rupprecht, Seong Tae Kim, Nassir Navab:
Neural Response Interpretation through the Lens of Critical Pathways. CoRR abs/2103.16886 (2021) - [i30]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models. CoRR abs/2105.08127 (2021) - [i29]Shangzhe Wu, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi:
DOVE: Learning Deformable 3D Objects by Watching Videos. CoRR abs/2107.10844 (2021) - [i28]Yuki Markus Asano, Christian Rupprecht, Andrew Zisserman, Andrea Vedaldi:
PASS: An ImageNet replacement for self-supervised pretraining without humans. CoRR abs/2109.13228 (2021) - [i27]Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
The Curious Layperson: Fine-Grained Image Recognition without Expert Labels. CoRR abs/2111.03651 (2021) - [i26]Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Part Discovery from Contrastive Reconstruction. CoRR abs/2111.06349 (2021) - [i25]Laurynas Karazija, Iro Laina, Christian Rupprecht:
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation. CoRR abs/2111.10265 (2021) - 2020
- [c20]Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild. CVPR 2020: 1-10 - [c19]Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht:
Semantic Image Manipulation Using Scene Graphs. CVPR 2020: 5212-5221 - [c18]Christian Rupprecht, Cyril Ibrahim, Christopher J. Pal:
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents. ICLR 2020 - [c17]Yuki Markus Asano, Christian Rupprecht, Andrea Vedaldi:
A critical analysis of self-supervision, or what we can learn from a single image. ICLR 2020 - [c16]Yuki Markus Asano, Christian Rupprecht, Andrea Vedaldi:
Self-labelling via simultaneous clustering and representation learning. ICLR 2020 - [c15]Yuki Markus Asano, Mandela Patrick, Christian Rupprecht, Andrea Vedaldi:
Labelling unlabelled videos from scratch with multi-modal self-supervision. NeurIPS 2020 - [i24]Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht:
Semantic Image Manipulation Using Scene Graphs. CoRR abs/2004.03677 (2020) - [i23]Yuki Markus Asano, Mandela Patrick, Christian Rupprecht, Andrea Vedaldi:
Labelling unlabelled videos from scratch with multi-modal self-supervision. CoRR abs/2006.13662 (2020)
2010 – 2019
- 2019
- [c14]Fabian Manhardt, Diego Martín Arroyo, Christian Rupprecht, Benjamin Busam, Tolga Birdal, Nassir Navab, Federico Tombari:
Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data. ICCV 2019: 6840-6849 - [c13]Iro Laina, Christian Rupprecht, Nassir Navab:
Towards Unsupervised Image Captioning With Shared Multimodal Embeddings. ICCV 2019: 7413-7423 - [c12]Henry Martin, Dominik Bucher, Ye Hong, René Buffat, Christian Rupprecht, Martin Raubal:
Graph-ResNets for short-term traffic forecasts in almost unknown cities. NeurIPS (Competition and Demos) 2019: 153-163 - [i22]Christian Rupprecht, Cyril Ibrahim, Christopher J. Pal:
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents. CoRR abs/1904.01318 (2019) - [i21]Yuki Markus Asano, Christian Rupprecht, Andrea Vedaldi:
Surprising Effectiveness of Few-Image Unsupervised Feature Learning. CoRR abs/1904.13132 (2019) - [i20]Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Photo-Geometric Autoencoding to Learn 3D Objects from Unlabelled Images. CoRR abs/1906.01568 (2019) - [i19]Iro Laina, Christian Rupprecht, Nassir Navab:
Towards Unsupervised Image Captioning with Shared Multimodal Embeddings. CoRR abs/1908.09317 (2019) - [i18]Henry Martin, Ye Hong, Dominik Bucher, Christian Rupprecht, René Buffat:
Traffic4cast-Traffic Map Movie Forecasting - Team MIE-Lab. CoRR abs/1910.13824 (2019) - [i17]Yuki Markus Asano, Christian Rupprecht, Andrea Vedaldi:
Self-labelling via simultaneous clustering and representation learning. CoRR abs/1911.05371 (2019) - [i16]Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild. CoRR abs/1911.11130 (2019) - 2018
- [b1]Christian Rupprecht:
Learning under Ambiguity through Multiple Predictions. Technical University of Munich, Germany, 2018 - [j1]Christian Rupprecht, Ansh Kapil, Nan Liu, Lamberto Ballan, Federico Tombari:
Learning without prejudice: Avoiding bias in webly-supervised action recognition. Comput. Vis. Image Underst. 173: 24-32 (2018) - [c11]Ghazal Ghazaei, Iro Laina, Christian Rupprecht, Federico Tombari, Nassir Navab, Kianoush Nazarpour:
Dealing with Ambiguity in Robotic Grasping via Multiple Predictions. ACCV (4) 2018: 38-55 - [c10]Christian Rupprecht, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari:
Guide Me: Interacting With Deep Networks. CVPR 2018: 8551-8561 - [c9]Robert S. DiPietro, Christian Rupprecht, Nassir Navab, Gregory D. Hager:
Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies. ICLR (Workshop) 2018 - [i15]Christian Rupprecht, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari:
Guide Me: Interacting with Deep Networks. CoRR abs/1803.11544 (2018) - [i14]Maximilian Baust, Florian Ludwig, Christian Rupprecht, Matthias Kohl, Stefan Braunewell:
Understanding Regularization to Visualize Convolutional Neural Networks. CoRR abs/1805.00071 (2018) - [i13]Salvatore Virga, Christian Rupprecht, Nassir Navab, Christoph Hennersperger:
Incremental Adversarial Learning for Optimal Path Planning. CoRR abs/1809.09433 (2018) - [i12]Ghazal Ghazaei, Iro Laina, Christian Rupprecht, Federico Tombari, Nassir Navab, Kianoush Nazarpour:
Dealing with Ambiguity in Robotic Grasping via Multiple Predictions. CoRR abs/1811.00793 (2018) - [i11]Fabian Manhardt, Diego Martín Arroyo, Christian Rupprecht, Benjamin Busam, Nassir Navab, Federico Tombari:
Explaining the Ambiguity of Object Detection and 6D Pose from Visual Data. CoRR abs/1812.00287 (2018) - 2017
- [c8]Christian Rupprecht, Iro Laina, Robert S. DiPietro, Maximilian Baust:
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses. ICCV 2017: 3611-3620 - [c7]Iro Laina, Nicola Rieke, Christian Rupprecht, Josué Page Vizcaíno, Abouzar Eslami, Federico Tombari, Nassir Navab:
Concurrent Segmentation and Localization for Tracking of Surgical Instruments. MICCAI (2) 2017: 664-672 - [i10]Iro Laina, Nicola Rieke, Christian Rupprecht, Josué Page Vizcaíno, Abouzar Eslami, Federico Tombari, Nassir Navab:
Concurrent Segmentation and Localization for Tracking of Surgical Instruments. CoRR abs/1703.10701 (2017) - [i9]Christian Rupprecht, Ansh Kapil, Nan Liu, Lamberto Ballan, Federico Tombari:
Learning without Prejudice: Avoiding Bias in Webly-Supervised Action Recognition. CoRR abs/1706.04589 (2017) - [i8]Chris Paxton, Kapil D. Katyal, Christian Rupprecht, Raman Arora, Gregory D. Hager:
Learning to Imagine Manipulation Goals for Robot Task Planning. CoRR abs/1711.02783 (2017) - 2016
- [c6]Iro Laina, Christian Rupprecht, Vasileios Belagiannis, Federico Tombari, Nassir Navab:
Deeper Depth Prediction with Fully Convolutional Residual Networks. 3DV 2016: 239-248 - [c5]Christian Rupprecht, Colin Lea, Federico Tombari, Nassir Navab, Gregory D. Hager:
Sensor substitution for video-based action recognition. IROS 2016: 5230-5237 - [c4]Florian Dubost, Loïc Peter, Christian Rupprecht, Benjamín Gutiérrez-Becker, Nassir Navab:
Hands-Free Segmentation of Medical Volumes via Binary Inputs. LABELS/DLMIA@MICCAI 2016: 259-268 - [i7]Iro Laina, Christian Rupprecht, Vasileios Belagiannis, Federico Tombari, Nassir Navab:
Deeper Depth Prediction with Fully Convolutional Residual Networks. CoRR abs/1606.00373 (2016) - [i6]Felix Grün, Christian Rupprecht, Nassir Navab, Federico Tombari:
A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks. CoRR abs/1606.07757 (2016) - [i5]Christian Rupprecht, Elizabeth Huaroc, Maximilian Baust, Nassir Navab:
Deep Active Contours. CoRR abs/1607.05074 (2016) - [i4]Florian Dubost, Loïc Peter, Christian Rupprecht, Benjamín Gutiérrez-Becker, Nassir Navab:
Hands-Free Segmentation of Medical Volumes via Binary Inputs. CoRR abs/1609.06192 (2016) - [i3]Christian Rupprecht, Iro Laina, Maximilian Baust, Federico Tombari, Gregory D. Hager, Nassir Navab:
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses. CoRR abs/1612.00197 (2016) - 2015
- [c3]Christian Rupprecht, Loïc Peter, Nassir Navab:
Image segmentation in Twenty Questions. CVPR 2015: 3314-3322 - [c2]Vasileios Belagiannis, Christian Rupprecht, Gustavo Carneiro, Nassir Navab:
Robust Optimization for Deep Regression. ICCV 2015: 2830-2838 - [i2]Vasileios Belagiannis, Christian Rupprecht, Gustavo Carneiro, Nassir Navab:
Robust Optimization for Deep Regression. CoRR abs/1505.06606 (2015) - [i1]Kanishka Sharma, Loïc Peter, Christian Rupprecht, Anna Caroli, Lichao Wang, Andrea Remuzzi, Maximilian Baust, Nassir Navab:
Semi-Automatic Segmentation of Autosomal Dominant Polycystic Kidneys using Random Forests. CoRR abs/1510.06915 (2015) - 2013
- [c1]Christian Rupprecht, Olivier Pauly, Christian Theobalt, Slobodan Ilic:
3D Semantic Parameterization for Human Shape Modeling: Application to 3D Animation. 3DV 2013: 255-262
Coauthor Index
Yuki Markus Asano
aka: Yuki M. Asano
aka: Yuki M. Asano
[j4] [c58] [c56] [c55] [c52] [c50] [c48] [c46] [c44] [i74] [i73] [i71] [i70] [i69] [i66] [i63] [i59] [i57] [j3] [j2] [c43] [c42] [c40] [c39] [c38] [c37] [c35] [c34] [i55] [i54] [i52] [i51] [i50] [i49] [i48] [i47] [i45] [i38] [c32] [c31] [c28] [c27] [i36] [i35] [i33] [i32] [c26] [c24] [c23] [c22] [i30] [i29] [i28] [i27] [i26] [c20] [c17] [c16] [c15] [i23] [i21] [i20] [i17] [i16]
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