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ORCIDAdam Kortylewski
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- affiliation: University of Freiburg, Germany
- affiliation: Max Planck Institut for Informatics, Saarbrücken, Germany
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2020 – today
- 2024
[c49]Haokai Pang, Heming Zhu, Adam Kortylewski, Christian Theobalt, Marc Habermann:
ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering. CVPR 2024: 1165-1175- [c48]Qihao Liu, Yi Zhang, Song Bai, Adam Kortylewski, Alan L. Yuille:
DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data. CVPR 2024: 6881-6891 - [c47]Prakhar Kaushik, Adam Kortylewski, Alan L. Yuille:
A Bayesian Approach to OOD Robustness in Image Classification. CVPR 2024: 17459-17469 - [c46]Leonhard Sommer, Artur Jesslen, Eddy Ilg, Adam Kortylewski:
Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos. CVPR 2024: 22787-22796 - [c45]Artur Jesslen
, Guofeng Zhang, Angtian Wang, Wufei Ma, Alan L. Yuille, Adam Kortylewski:
NOVUM: Neural Object Volumes for Robust Object Classification. ECCV (4) 2024: 264-281 - [c44]Yu Chi, Fangneng Zhan, Sibo Wu, Christian Theobalt, Adam Kortylewski:
DatasetNeRF: Efficient 3D-Aware Data Factory with Generative Radiance Fields. ECCV (62) 2024: 354-372 - [c43]Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg:
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning. ECCV (77) 2024: 357-374 - [c42]Prakhar Kaushik, Aayush Mishra, Adam Kortylewski, Alan L. Yuille:
Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation. ICLR 2024 - [c41]Qihao Liu, Adam Kortylewski, Yutong Bai, Song Bai, Alan L. Yuille:
Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search. ICLR 2024 - [c40]Wufei Ma, Qihao Liu, Jiahao Wang, Angtian Wang, Xiaoding Yuan, Yi Zhang, Zihao Xiao, Guofeng Zhang, Beijia Lu, Ruxiao Duan, Yongrui Qi, Adam Kortylewski, Yaoyao Liu, Alan L. Yuille:
Generating Images with 3D Annotations Using Diffusion Models. ICLR 2024 - [c39]Angtian Wang, Wufei Ma, Alan L. Yuille, Adam Kortylewski:
Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis. WACV 2024: 3096-3105 - [c38]Jiahao Yang, Wufei Ma, Angtian Wang, Xiaoding Yuan, Alan L. Yuille, Adam Kortylewski:
Robust Category-Level 3D Pose Estimation from Diffusion-Enhanced Synthetic Data. WACV 2024: 3434-3443 - [i68]Prakhar Kaushik, Aayush Mishra, Adam Kortylewski, Alan L. Yuille:
Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation. CoRR abs/2401.10848 (2024) - [i67]Prakhar Kaushik, Adam Kortylewski, Alan L. Yuille:
A Bayesian Approach to OOD Robustness in Image Classification. CoRR abs/2403.07277 (2024) - [i66]Fengrui Tian, Yaoyao Liu, Adam Kortylewski, Yueqi Duan, Shaoyi Du, Alan L. Yuille, Angtian Wang:
Learning a Category-level Object Pose Estimator without Pose Annotations. CoRR abs/2404.05626 (2024) - [i65]Qian Wang, Abdelrahman Eldesokey, Mohit Mendiratta, Fangneng Zhan, Adam Kortylewski, Christian Theobalt, Peter Wonka:
Zero-Shot Video Semantic Segmentation based on Pre-Trained Diffusion Models. CoRR abs/2405.16947 (2024) - [i64]Fangneng Zhan, Hanxue Liang, Yifan Wang, Michael Niemeyer, Michael Oechsle, Adam Kortylewski, Cengiz Öztireli, Gordon Wetzstein, Christian Theobalt:
Evolutive Rendering Models. CoRR abs/2405.17531 (2024) - [i63]Xingrui Wang, Wufei Ma, Angtian Wang, Shuo Chen, Adam Kortylewski, Alan L. Yuille:
Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering. CoRR abs/2406.00622 (2024) - [i62]Qihao Liu, Yi Zhang, Song Bai, Adam Kortylewski, Alan L. Yuille:
DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data. CoRR abs/2406.04322 (2024) - [i61]Haoran Wang, Mohit Mendiratta, Christian Theobalt, Adam Kortylewski:
FaceGPT: Self-supervised Learning to Chat about 3D Human Faces. CoRR abs/2406.07163 (2024) - [i60]Wufei Ma, Guanning Zeng, Guofeng Zhang, Qihao Liu, Letian Zhang, Adam Kortylewski, Yaoyao Liu, Alan L. Yuille:
ImageNet3D: Towards General-Purpose Object-Level 3D Understanding. CoRR abs/2406.09613 (2024) - [i59]Leonhard Sommer, Artur Jesslen, Eddy Ilg, Adam Kortylewski:
Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos. CoRR abs/2407.04384 (2024) - [i58]Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg:
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning. CoRR abs/2407.09271 (2024) - [i57]Basavaraj Sunagad, Heming Zhu, Mohit Mendiratta, Adam Kortylewski, Christian Theobalt, Marc Habermann:
TEDRA: Text-based Editing of Dynamic and Photoreal Actors. CoRR abs/2408.15995 (2024) - 2023
- [j7]Diogo C. Luvizon, Marc Habermann, Vladislav Golyanik, Adam Kortylewski, Christian Theobalt:
Scene-Aware 3D Multi-Human Motion Capture from a Single Camera. Comput. Graph. Forum 42(2): 371-383 (2023) - [j6]Edith Tretschk, Navami Kairanda, Mallikarjun B. R., Rishabh Dabral, Adam Kortylewski, Bernhard Egger, Marc Habermann, Pascal Fua, Christian Theobalt, Vladislav Golyanik:
State of the Art in Dense Monocular Non-Rigid 3D Reconstruction. Comput. Graph. Forum 42(2): 485-520 (2023) - [j5]Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Shijian Lu, Lingjie Liu, Adam Kortylewski, Christian Theobalt, Eric P. Xing:
Multimodal Image Synthesis and Editing: The Generative AI Era. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15098-15119 (2023) - [j4]Mohit Mendiratta, Xingang Pan, Mohamed Elgharib, Kartik Teotia, Mallikarjun B. R., Ayush Tewari, Vladislav Golyanik, Adam Kortylewski, Christian Theobalt:
AvatarStudio: Text-Driven Editing of 3D Dynamic Human Head Avatars. ACM Trans. Graph. 42(6): 226:1-226:18 (2023) - [c37]Chunlu Li, Andreas Morel-Forster, Thomas Vetter, Bernhard Egger, Adam Kortylewski:
Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation. CVPR 2023: 372-381 - [c36]Qihao Liu, Adam Kortylewski, Alan L. Yuille:
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation. CVPR 2023: 672-681 - [c35]Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin, Adam Kortylewski, Wufei Ma, Benjamin Van Durme, Alan L. Yuille:
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning. CVPR 2023: 14963-14973 - [c34]Jiacong Xu, Yi Zhang, Jiawei Peng, Wufei Ma, Artur Jesslen, Pengliang Ji, Qixin Hu, Jiehua Zhang, Qihao Liu, Jiahao Wang, Wei Ji, Chen Wang, Xiaoding Yuan, Prakhar Kaushik, Guofeng Zhang, Jie Liu, Yushan Xie, Yawen Cui, Alan L. Yuille, Adam Kortylewski:
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape. ICCV 2023: 9065-9075 - [c33]Yi Zhang, Pengliang Ji, Angtian Wang, Jieru Mei, Adam Kortylewski, Alan L. Yuille:
3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation. ICCV 2023: 9365-9376 - [c32]Angtian Wang, Peng Wang, Jian Sun, Adam Kortylewski, Alan L. Yuille:
VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis. ICLR 2023 - [c31]Fangneng Zhan, Lingjie Liu, Adam Kortylewski, Christian Theobalt:
General Neural Gauge Fields. ICLR 2023 - [c30]Xingrui Wang, Wufei Ma, Zhuowan Li, Adam Kortylewski, Alan L. Yuille:
3D-Aware Visual Question Answering about Parts, Poses and Occlusions. NeurIPS 2023 - [c29]Yutong Bai, Angtian Wang, Adam Kortylewski, Alan L. Yuille:
CoKe: Contrastive Learning for Robust Keypoint Detection. WACV 2023: 65-74 - [c28]Ju He, Adam Kortylewski, Alan L. Yuille:
CORL: Compositional Representation Learning for Few-Shot Classification. WACV 2023: 3879-3888 - [i56]Diogo C. Luvizon, Marc Habermann, Vladislav Golyanik, Adam Kortylewski, Christian Theobalt:
Scene-Aware 3D Multi-Human Motion Capture from a Single Camera. CoRR abs/2301.05175 (2023) - [i55]Qihao Liu, Adam Kortylewski, Alan L. Yuille:
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation. CoRR abs/2303.07337 (2023) - [i54]Bingchen Zhao, Jiahao Wang, Wufei Ma, Artur Jesslen, Siwei Yang, Shaozuo Yu, Oliver Zendel, Christian Theobalt, Alan L. Yuille, Adam Kortylewski:
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images. CoRR abs/2304.10266 (2023) - [i53]Fangneng Zhan, Lingjie Liu, Adam Kortylewski, Christian Theobalt:
General Neural Gauge Fields. CoRR abs/2305.03462 (2023) - [i52]Artur Jesslen, Guofeng Zhang, Angtian Wang, Alan L. Yuille, Adam Kortylewski:
Robust 3D-aware Object Classification via Discriminative Render-and-Compare. CoRR abs/2305.14668 (2023) - [i51]Jiahao Yang, Wufei Ma, Angtian Wang, Xiaoding Yuan, Alan L. Yuille, Adam Kortylewski:
Robust Category-Level 3D Pose Estimation from Synthetic Data. CoRR abs/2305.16124 (2023) - [i50]Angtian Wang, Wufei Ma, Alan L. Yuille, Adam Kortylewski:
Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis. CoRR abs/2306.00118 (2023) - [i49]Mohit Mendiratta, Xingang Pan, Mohamed Elgharib, Kartik Teotia, Mallikarjun B. R., Ayush Tewari, Vladislav Golyanik, Adam Kortylewski, Christian Theobalt:
AvatarStudio: Text-driven Editing of 3D Dynamic Human Head Avatars. CoRR abs/2306.00547 (2023) - [i48]Qihao Liu, Adam Kortylewski, Yutong Bai, Song Bai, Alan L. Yuille:
Intriguing Properties of Text-guided Diffusion Models. CoRR abs/2306.00974 (2023) - [i47]Wufei Ma, Qihao Liu, Jiahao Wang, Angtian Wang, Yaoyao Liu, Adam Kortylewski, Alan L. Yuille:
Adding 3D Geometry Control to Diffusion Models. CoRR abs/2306.08103 (2023) - [i46]Yi Zhang, Pengliang Ji, Angtian Wang, Jieru Mei, Adam Kortylewski, Alan L. Yuille:
3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation. CoRR abs/2308.10123 (2023) - [i45]Jiacong Xu, Yi Zhang, Jiawei Peng, Wufei Ma, Artur Jesslen, Pengliang Ji, Qixin Hu, Jiehua Zhang, Qihao Liu, Jiahao Wang, Wei Ji, Chen Wang, Xiaoding Yuan, Prakhar Kaushik, Guofeng Zhang, Jie Liu, Yushan Xie, Yawen Cui, Alan L. Yuille, Adam Kortylewski:
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape. CoRR abs/2308.11737 (2023) - [i44]Xingrui Wang, Wufei Ma, Zhuowan Li, Adam Kortylewski, Alan L. Yuille:
3D-Aware Visual Question Answering about Parts, Poses and Occlusions. CoRR abs/2310.17914 (2023) - [i43]Yu Chi, Fangneng Zhan, Sibo Wu, Christian Theobalt, Adam Kortylewski:
DatasetNeRF: Efficient 3D-aware Data Factory with Generative Radiance Fields. CoRR abs/2311.12063 (2023) - [i42]Ruxiao Duan, Yaoyao Liu, Jieneng Chen, Adam Kortylewski, Alan L. Yuille:
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning. CoRR abs/2311.18266 (2023) - [i41]Haokai Pang, Heming Zhu, Adam Kortylewski, Christian Theobalt, Marc Habermann:
ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering. CoRR abs/2312.05941 (2023) - [i40]Diogo C. Luvizon, Vladislav Golyanik, Adam Kortylewski, Marc Habermann, Christian Theobalt:
Relightable Neural Actor with Intrinsic Decomposition and Pose Control. CoRR abs/2312.11587 (2023) - 2022
- [c27]Ju He, Jieneng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang:
TransFG: A Transformer Architecture for Fine-Grained Recognition. AAAI 2022: 852-860 - [c26]Yihong Sun, Adam Kortylewski, Alan L. Yuille:
Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model. CVPR 2022: 1205-1214 - [c25]Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff:
Simulated Adversarial Testing of Face Recognition Models. CVPR 2022: 4135-4145 - [c24]Vipul Gupta, Zhuowan Li, Adam Kortylewski, Chenyu Zhang, Yingwei Li, Alan L. Yuille:
SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering. CVPR 2022: 5068-5078 - [c23]Qing Liu, Adam Kortylewski, Zhishuai Zhang, Zizhang Li, Mengqi Guo, Qihao Liu, Xiaoding Yuan, Jiteng Mu, Weichao Qiu, Alan L. Yuille:
Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles. CVPR 2022: 19118-19129 - [c22]Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jieneng Chen, Shuai Liu, Cheng Yang, Qihang Yu, Alan L. Yuille:
PartImageNet: A Large, High-Quality Dataset of Parts. ECCV (8) 2022: 128-145 - [c21]Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan L. Yuille, Adam Kortylewski:
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images. ECCV (8) 2022: 163-180 - [c20]Wufei Ma, Angtian Wang, Alan L. Yuille, Adam Kortylewski:
Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features. ECCV (9) 2022: 492-508 - [c19]Yixiao Zhang, Adam Kortylewski, Qing Liu, Seyoun Park, Benjamin Green, Elizabeth Engle, Guillermo Almodovar, Ryan Walk, Sigfredo Soto-Diaz, Janis Taube, Alex Szalay, Alan L. Yuille:
A Light-Weight Interpretable Model for Nuclei Detection and Weakly-Supervised Segmentation. MOVI@MICCAI 2022: 145-155 - [c18]Jiayi Wang, Diogo C. Luvizon, Franziska Mueller, Florian Bernard, Adam Kortylewski, Dan Casas, Christian Theobalt:
HandFlow: Quantifying View-Dependent 3D Ambiguity in Two-Hand Reconstruction with Normalizing Flow. VMV 2022: 99-106 - [i39]Vipul Gupta, Zhuowan Li, Adam Kortylewski, Chenyu Zhang, Yingwei Li, Alan L. Yuille:
SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering. CoRR abs/2204.02285 (2022) - [i38]Angtian Wang, Peng Wang, Jian Sun, Adam Kortylewski, Alan L. Yuille:
VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis. CoRR abs/2205.15401 (2022) - [i37]Wufei Ma, Angtian Wang, Alan L. Yuille, Adam Kortylewski:
Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features. CoRR abs/2209.05624 (2022) - [i36]Jiayi Wang, Diogo C. Luvizon, Franziska Mueller, Florian Bernard, Adam Kortylewski, Dan Casas, Christian Theobalt:
HandFlow: Quantifying View-Dependent 3D Ambiguity in Two-Hand Reconstruction with Normalizing Flow. CoRR abs/2210.01692 (2022) - [i35]Edith Tretschk, Navami Kairanda, Mallikarjun B. R., Rishabh Dabral, Adam Kortylewski, Bernhard Egger, Marc Habermann, Pascal Fua, Christian Theobalt, Vladislav Golyanik:
State of the Art in Dense Monocular Non-Rigid 3D Reconstruction. CoRR abs/2210.15664 (2022) - [i34]Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin, Adam Kortylewski, Wufei Ma, Benjamin Van Durme, Alan L. Yuille:
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning. CoRR abs/2212.00259 (2022) - 2021
- [j3]Adam Kortylewski, Qing Liu, Angtian Wang, Yihong Sun, Alan L. Yuille:
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition Under Occlusion. Int. J. Comput. Vis. 129(3): 736-760 (2021) - [c17]Adam Kortylewski, Ju He, Qing Liu, Christian Cosgrove, Chenglin Yang, Alan L. Yuille:
Compositional Generative Networks and Robustness to Perceptible Image Changes. CISS 2021: 1-8 - [c16]Xiaoding Yuan, Adam Kortylewski, Yihong Sun, Alan L. Yuille:
Robust Instance Segmentation Through Reasoning About Multi-Object Occlusion. CVPR 2021: 11141-11150 - [c15]Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan L. Yuille, Nuno Vasconcelos, Xiaolong Wang:
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation. ICCV 2021: 12981-12991 - [c14]Angtian Wang, Adam Kortylewski, Alan L. Yuille:
NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation. ICLR 2021 - [c13]Angtian Wang, Shenxiao Mei, Alan L. Yuille, Adam Kortylewski:
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose. NeurIPS 2021: 7207-7219 - [i33]Ju He, Adam Kortylewski, Alan L. Yuille:
COMPAS: Representation Learning with Compositional Part Sharing for Few-Shot Classification. CoRR abs/2101.11878 (2021) - [i32]Angtian Wang, Adam Kortylewski, Alan L. Yuille:
NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation. CoRR abs/2101.12378 (2021) - [i31]Prakhar Kaushik, Alex Gain, Adam Kortylewski, Alan L. Yuille:
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping. CoRR abs/2102.11343 (2021) - [i30]Ju He, Jieneng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan L. Yuille:
TransFG: A Transformer Architecture for Fine-grained Recognition. CoRR abs/2103.07976 (2021) - [i29]Qing Liu, Adam Kortylewski, Zhishuai Zhang, Zizhang Li, Mengqi Guo, Qihao Liu, Xiaoding Yuan, Jiteng Mu, Weichao Qiu, Alan L. Yuille:
CGPart: A Part Segmentation Dataset Based on 3D Computer Graphics Models. CoRR abs/2103.14098 (2021) - [i28]Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan L. Yuille, Nuno Vasconcelos, Xiaolong Wang:
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation. CoRR abs/2104.07645 (2021) - [i27]Ju He, Adam Kortylewski, Shaokang Yang, Shuai Liu, Cheng Yang, Changhu Wang, Alan L. Yuille:
Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning. CoRR abs/2106.00209 (2021) - [i26]Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff:
Simulated Adversarial Testing of Face Recognition Models. CoRR abs/2106.04569 (2021) - [i25]Chunlu Li, Andreas Morel-Forster, Thomas Vetter, Bernhard Egger, Adam Kortylewski:
To fit or not to fit: Model-based Face Reconstruction and Occlusion Segmentation from Weak Supervision. CoRR abs/2106.09614 (2021) - [i24]Chenglin Yang, Siyuan Qiao, Adam Kortylewski, Alan L. Yuille:
Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms. CoRR abs/2107.05637 (2021) - [i23]Yixiao Zhang, Adam Kortylewski, Qing Liu, Seyoun Park, Benjamin Green, Elizabeth Engle, Guillermo Almodovar, Ryan Walk, Sigfredo Soto-Diaz, Janis Taube, Alex Szalay, Alan L. Yuille:
A Light-weight Interpretable CompositionalNetwork for Nuclei Detection and Weakly-supervised Segmentation. CoRR abs/2110.13846 (2021) - [i22]Angtian Wang, Shenxiao Mei, Alan L. Yuille, Adam Kortylewski:
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose. CoRR abs/2110.14213 (2021) - [i21]Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan L. Yuille, Adam Kortylewski:
ROBIN : A Benchmark for Robustness to Individual Nuisancesin Real-World Out-of-Distribution Shifts. CoRR abs/2111.14341 (2021) - [i20]Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jieneng Chen, Shuai Liu, Cheng Yang, Alan L. Yuille:
PartImageNet: A Large, High-Quality Dataset of Parts. CoRR abs/2112.00933 (2021) - 2020
- [j2]Bernhard Egger, William A. P. Smith, Ayush Tewari, Stefanie Wuhrer, Michael Zollhöfer, Thabo Beeler, Florian Bernard, Timo Bolkart, Adam Kortylewski, Sami Romdhani, Christian Theobalt, Volker Blanz, Thomas Vetter:
3D Morphable Face Models - Past, Present, and Future. ACM Trans. Graph. 39(5): 157:1-157:38 (2020) - [c12]Adam Kortylewski, Ju He, Qing Liu, Alan L. Yuille:
Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion. CVPR 2020: 8937-8946 - [c11]Angtian Wang, Yihong Sun, Adam Kortylewski, Alan L. Yuille:
Robust Object Detection Under Occlusion With Context-Aware CompositionalNets. CVPR 2020: 12642-12651 - [c10]Mingqing Xiao, Adam Kortylewski, Ruihai Wu, Siyuan Qiao, Wei Shen, Alan L. Yuille:
TDMPNet: Prototype Network with Recurrent Top-Down Modulation for Robust Object Classification Under Partial Occlusion. ECCV Workshops (2) 2020: 447-463 - [c9]Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan L. Yuille:
PatchAttack: A Black-Box Texture-Based Attack with Reinforcement Learning. ECCV (26) 2020: 681-698 - [c8]Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille:
Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion. WACV 2020: 1322-1330 - [i19]Adam Kortylewski, Ju He, Qing Liu, Alan L. Yuille:
Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion. CoRR abs/2003.04490 (2020) - [i18]Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan L. Yuille:
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning. CoRR abs/2004.05682 (2020) - [i17]Angtian Wang, Yihong Sun, Adam Kortylewski, Alan L. Yuille:
Robust Object Detection under Occlusion with Context-Aware CompositionalNets. CoRR abs/2005.11643 (2020) - [i16]Adam Kortylewski, Qing Liu, Angtian Wang, Yihong Sun, Alan L. Yuille:
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion. CoRR abs/2006.15538 (2020) - [i15]Yutong Bai, Angtian Wang, Adam Kortylewski, Alan L. Yuille:
CoKe: Localized Contrastive Learning for Robust Keypoint Detection. CoRR abs/2009.14115 (2020) - [i14]Yihong Sun, Adam Kortylewski, Alan L. Yuille:
Weakly-Supervised Amodal Instance Segmentation with Compositional Priors. CoRR abs/2010.13175 (2020) - [i13]Mengqi Guo, Yutong Bai, Zhishuai Zhang, Adam Kortylewski, Alan L. Yuille:
Unsupervised Part Discovery via Feature Alignment. CoRR abs/2012.00313 (2020) - [i12]Christian Cosgrove, Adam Kortylewski, Chenglin Yang, Alan L. Yuille:
Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks. CoRR abs/2012.00558 (2020) - [i11]Xiaoding Yuan, Adam Kortylewski, Yihong Sun, Alan L. Yuille:
Robust Instance Segmentation through Reasoning about Multi-Object Occlusion. CoRR abs/2012.02107 (2020)
2010 – 2019
- 2019
- [c7]Ilke Demir, Camilla Hahn, Kathryn Leonard, Géraldine Morin, Dana Rahbani, Athina Panotopoulou, Amélie Fondevilla, Elena Balashova, Bastien Durix, Adam Kortylewski:
SkelNetOn 2019: Dataset and Challenge on Deep Learning for Geometric Shape Understanding. CVPR Workshops 2019: 1143-1151 - [c6]Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter:
Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data. CVPR Workshops 2019: 2261-2268 - [c5]Adam Kortylewski, Aleksander Wieczorek, Mario Wieser, Clemens Blumer, Sonali Parbhoo, Andreas Morel-Forster, Volker Roth, Thomas Vetter:
Greedy Structure Learning of Hierarchical Compositional Models. CVPR 2019: 11612-11621 - [c4]Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille:
Localizing Occluders with Compositional Convolutional Networks. ICCV Workshops 2019: 2029-2032 - [i10]Ilke Demir, Camilla Hahn, Kathryn Leonard, Géraldine Morin, Dana Rahbani, Athina Panotopoulou, Amélie Fondevilla, Elena Balashova, Bastien Durix, Adam Kortylewski:
SkelNetOn 2019 Dataset and Challenge on Deep Learning for Geometric Shape Understanding. CoRR abs/1903.09233 (2019) - [i9]Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille:
Compositional Convolutional Networks For Robust Object Classification under Occlusion. CoRR abs/1905.11826 (2019) - [i8]Bernhard Egger, William A. P. Smith, Ayush Tewari, Stefanie Wuhrer, Michael Zollhöfer, Thabo Beeler, Florian Bernard, Timo Bolkart, Adam Kortylewski, Sami Romdhani, Christian Theobalt, Volker Blanz, Thomas Vetter:
3D Morphable Face Models - Past, Present and Future. CoRR abs/1909.01815 (2019) - [i7]Mingqing Xiao, Adam Kortylewski, Ruihai Wu, Siyuan Qiao, Wei Shen, Alan L. Yuille:
TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion. CoRR abs/1909.03879 (2019) - [i6]Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille:
Localizing Occluders with Compositional Convolutional Networks. CoRR abs/1911.08571 (2019) - 2018
- [j1]Bernhard Egger, Sandro Schönborn, Andreas Schneider, Adam Kortylewski, Andreas Morel-Forster, Clemens Blumer, Thomas Vetter:
Occlusion-Aware 3D Morphable Models and an Illumination Prior for Face Image Analysis. Int. J. Comput. Vis. 126(12): 1269-1287 (2018) - [c3]Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter:
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems. CVPR Workshops 2018: 2093-2102 - [i5]Adam Kortylewski, Andreas Schneider, Thomas Gerig, Bernhard Egger, Andreas Morel-Forster, Thomas Vetter:
Training Deep Face Recognition Systems with Synthetic Data. CoRR abs/1802.05891 (2018) - [i4]Adam Kortylewski, Mario Wieser, Andreas Morel-Forster, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth, Thomas Vetter:
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis. CoRR abs/1811.07969 (2018) - [i3]Adam Kortylewski, Andreas Schneider, Thomas Gerig, Clemens Blumer, Bernhard Egger, Corius Reyneke, Andreas Morel-Forster, Thomas Vetter:
Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance. CoRR abs/1811.08565 (2018) - 2017
- [i2]Adam Kortylewski, Clemens Blumer, Thomas Vetter:
Greedy Compositional Clustering for Unsupervised Learning of Hierarchical Compositional Models. CoRR abs/1701.06171 (2017) - [i1]Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter:
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems. CoRR abs/1712.01619 (2017) - 2016
- [c2]Adam Kortylewski, Thomas Vetter:
Probabilistic Compositional Active Basis Models for Robust Pattern Recognition. BMVC 2016 - 2014
- [c1]Adam Kortylewski, Thomas Albrecht, Thomas Vetter:
Unsupervised Footwear Impression Analysis and Retrieval from Crime Scene Data. ACCV Workshops (1) 2014: 644-658
Coauthor Index
[c48] [c47] [c45] [c43] [c42] [c41] [c40] [c39] [c38] [i68] [i67] [i66] [i63] [i62] [i60] [i58] [c36] [c35] [c34] [c33] [c32] [c30] [c29] [c28] [i55] [i54] [i52] [i51] [i50] [i48] [i47] [i46] [i45] [i44] [i42] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [i39] [i38] [i37] [i34] [j3] [c17] [c16] [c15] [c14] [c13] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i24] [i23] [i22] [i21] [i20] [c12] [c11] [c10] [c9] [c8] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [c4] [i9] [i7] [i6]
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