Adam Kortylewski

139 papers A* 31A 7Misc 1Journal 83Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CNS-Bench: Benchmarking Image Classifier Robustness Under Continuous Nuisance Shifts. CoRR Olaf Dünkel, Artur Jesslen, Jiahao Xie, Christian Theobalt, Christian Rupprecht, Adam Kortylewski
2025	A*	`conf`	Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature Space. CVPR Leonhard Sommer, Olaf Dünkel, Christian Theobalt, Adam Kortylewski
2025	J	`jnl`	Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature Space. CoRR Leonhard Sommer, Olaf Dünkel, Christian Theobalt, Adam Kortylewski
2025	A*	`conf`	Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering. ICLR Xingrui Wang, Wufei Ma, Angtian Wang, Shuo Chen, Adam Kortylewski, Alan L. Yuille
2025	J	`jnl`	Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels. CoRR Olaf Dünkel, Thomas Wimmer, Christian Theobalt, Christian Rupprecht, Adam Kortylewski
2025	J	`jnl`	Escaping Plato's Cave: Robust Conceptual Reasoning through Interpretable 3D Neural Object Volumes. CoRR Nhi Pham, Bernt Schiele, Adam Kortylewski, Jonas Fischer
2025	J	`jnl`	GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals. CoRR Mohit Mendiratta, Mayur Deshmukh, Kartik Teotia, Vladislav Golyanik, Adam Kortylewski, Christian Theobalt
2025	J	`jnl`	Generative Models for 3D Vision (Dagstuhl Seminar 25202). Dagstuhl Reports Laura Neschen, Bernhard Egger, Adam Kortylewski, William A. P. Smith, Stefanie Wuhrer
2025	A	`conf`	PocoLoco: A Point Cloud Diffusion Model of Human Shape in Loose Clothing. WACV Siddharth Seth, Rishabh Dabral, Diogo C. Luvizon, Marc Habermann, Ming-Hsuan Yang, Christian Theobalt, Adam Kortylewski
2025	—	`conf`	TEDRA: Text-Based Editing of Dynamic and Photoreal Actors. 3DV Basavaraj Sunagad, Heming Zhu, Mohit Mendiratta, Adam Kortylewski, Christian Theobalt, Marc Habermann
2025	A*	`conf`	VidSeg: Training-free Video Semantic Segmentation based on Diffusion Models. CVPR Qian Wang, Abdelrahman Eldesokey, Mohit Mendiratta, Fangneng Zhan, Adam Kortylewski, Christian Theobalt, Peter Wonka
2024	A*	`conf`	A Bayesian Approach to OOD Robustness in Image Classification. CVPR Prakhar Kaushik, Adam Kortylewski, Alan L. Yuille
2024	J	`jnl`	A Bayesian Approach to OOD Robustness in Image Classification. CoRR Prakhar Kaushik, Adam Kortylewski, Alan L. Yuille
2024	A*	`conf`	ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering. CVPR Haokai Pang, Heming Zhu, Adam Kortylewski, Christian Theobalt, Marc Habermann
2024	J	`jnl`	Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering. CoRR Xingrui Wang, Wufei Ma, Angtian Wang, Shuo Chen, Adam Kortylewski, Alan L. Yuille
2024	A*	`conf`	DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data. CVPR Qihao Liu, Yi Zhang, Song Bai, Adam Kortylewski, Alan L. Yuille
2024	J	`jnl`	DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data. CoRR Qihao Liu, Yi Zhang, Song Bai, Adam Kortylewski, Alan L. Yuille
2024	—	`conf`	DatasetNeRF: Efficient 3D-Aware Data Factory with Generative Radiance Fields. ECCV (62) Yu Chi, Fangneng Zhan, Sibo Wu, Christian Theobalt, Adam Kortylewski
2024	A*	`conf`	Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search. ICLR Qihao Liu, Adam Kortylewski, Yutong Bai, Song Bai, Alan L. Yuille
2024	J	`jnl`	Evolutive Rendering Models. CoRR Fangneng Zhan, Hanxue Liang, Yifan Wang, Michael Niemeyer, Michael Oechsle, Adam Kortylewski, Cengiz Öztireli, Gordon Wetzstein, Christian Theobalt
2024	J	`jnl`	FaceGPT: Self-supervised Learning to Chat about 3D Human Faces. CoRR Haoran Wang, Mohit Mendiratta, Christian Theobalt, Adam Kortylewski
2024	A*	`conf`	Generating Images with 3D Annotations Using Diffusion Models. ICLR 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
2024	A*	`conf`	ImageNet3D: Towards General-Purpose Object-Level 3D Understanding. NeurIPS Wufei Ma, Guofeng Zhang, Qihao Liu, Guanning Zeng, Adam Kortylewski, Yaoyao Liu, Alan L. Yuille
2024	J	`jnl`	ImageNet3D: Towards General-Purpose Object-Level 3D Understanding. CoRR Wufei Ma, Guanning Zeng, Guofeng Zhang, Qihao Liu, Letian Zhang, Adam Kortylewski, Yaoyao Liu, Alan L. Yuille
2024	J	`jnl`	Learning a Category-level Object Pose Estimator without Pose Annotations. CoRR Fengrui Tian, Yaoyao Liu, Adam Kortylewski, Yueqi Duan, Shaoyi Du, Alan L. Yuille, Angtian Wang
2024	—	`conf`	NOVUM: Neural Object Volumes for Robust Object Classification. ECCV (4) Artur Jesslen, Guofeng Zhang, Angtian Wang, Wufei Ma, Alan L. Yuille, Adam Kortylewski
2024	A	`conf`	Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis. WACV Angtian Wang, Wufei Ma, Alan L. Yuille, Adam Kortylewski
2024	J	`jnl`	OOD-CV-v2 : An Extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images. IEEE Trans. Pattern Anal. Mach. Intell. Bingchen Zhao, Jiahao Wang, Wufei Ma, Artur Jesslen, Siwei Yang, Shaozuo Yu, Oliver Zendel, Christian Theobalt, Alan L. Yuille, Adam Kortylewski
2024	J	`jnl`	PocoLoco: A Point Cloud Diffusion Model of Human Shape in Loose Clothing. CoRR Siddharth Seth, Rishabh Dabral, Diogo C. Luvizon, Marc Habermann, Ming-Hsuan Yang, Christian Theobalt, Adam Kortylewski
2024	—	`conf`	Relightable Neural Actor with Intrinsic Decomposition and Pose Control. ECCV (59) Diogo Carbonera Luvizon, Vladislav Golyanik, Adam Kortylewski, Marc Habermann, Christian Theobalt
2024	A	`conf`	Robust Category-Level 3D Pose Estimation from Diffusion-Enhanced Synthetic Data. WACV Jiahao Yang, Wufei Ma, Angtian Wang, Xiaoding Yuan, Alan L. Yuille, Adam Kortylewski
2024	A*	`conf`	Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation. ICLR Prakhar Kaushik, Aayush Mishra, Adam Kortylewski, Alan L. Yuille
2024	J	`jnl`	Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation. CoRR Prakhar Kaushik, Aayush Mishra, Adam Kortylewski, Alan L. Yuille
2024	J	`jnl`	TEDRA: Text-based Editing of Dynamic and Photoreal Actors. CoRR Basavaraj Sunagad, Heming Zhu, Mohit Mendiratta, Adam Kortylewski, Christian Theobalt, Marc Habermann
2024	A*	`conf`	Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos. CVPR Leonhard Sommer, Artur Jesslen, Eddy Ilg, Adam Kortylewski
2024	J	`jnl`	Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos. CoRR Leonhard Sommer, Artur Jesslen, Eddy Ilg, Adam Kortylewski
2024	J	`jnl`	Zero-Shot Video Semantic Segmentation based on Pre-Trained Diffusion Models. CoRR Qian Wang, Abdelrahman Eldesokey, Mohit Mendiratta, Fangneng Zhan, Adam Kortylewski, Christian Theobalt, Peter Wonka
2024	—	`conf`	iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning. ECCV (77) Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg
2024	J	`jnl`	iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning. CoRR Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg
2023	A*	`conf`	3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation. ICCV Yi Zhang, Pengliang Ji, Angtian Wang, Jieru Mei, Adam Kortylewski, Alan L. Yuille
2023	J	`jnl`	3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation. CoRR Yi Zhang, Pengliang Ji, Angtian Wang, Jieru Mei, Adam Kortylewski, Alan L. Yuille
2023	A*	`conf`	3D-Aware Visual Question Answering about Parts, Poses and Occlusions. NeurIPS Xingrui Wang, Wufei Ma, Zhuowan Li, Adam Kortylewski, Alan L. Yuille
2023	J	`jnl`	3D-Aware Visual Question Answering about Parts, Poses and Occlusions. CoRR Xingrui Wang, Wufei Ma, Zhuowan Li, Adam Kortylewski, Alan L. Yuille
2023	J	`jnl`	ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering. CoRR Haokai Pang, Heming Zhu, Adam Kortylewski, Christian Theobalt, Marc Habermann
2023	J	`jnl`	Adding 3D Geometry Control to Diffusion Models. CoRR Wufei Ma, Qihao Liu, Jiahao Wang, Angtian Wang, Yaoyao Liu, Adam Kortylewski, Alan L. Yuille
2023	A*	`conf`	Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape. ICCV 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
2023	J	`jnl`	Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape. CoRR 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
2023	J	`jnl`	AvatarStudio: Text-Driven Editing of 3D Dynamic Human Head Avatars. ACM Trans. Graph. Mohit Mendiratta, Xingang Pan, Mohamed A. Elgharib, Kartik Teotia, Mallikarjun B. R., Ayush Tewari, Vladislav Golyanik, Adam Kortylewski, Christian Theobalt
2023	J	`jnl`	AvatarStudio: Text-driven Editing of 3D Dynamic Human Head Avatars. CoRR Mohit Mendiratta, Xingang Pan, Mohamed A. Elgharib, Kartik Teotia, Mallikarjun B. R., Ayush Tewari, Vladislav Golyanik, Adam Kortylewski, Christian Theobalt
2023	A	`conf`	CORL: Compositional Representation Learning for Few-Shot Classification. WACV Ju He, Adam Kortylewski, Alan L. Yuille
2023	A	`conf`	CoKe: Contrastive Learning for Robust Keypoint Detection. WACV Yutong Bai, Angtian Wang, Adam Kortylewski, Alan L. Yuille
2023	J	`jnl`	DatasetNeRF: Efficient 3D-aware Data Factory with Generative Radiance Fields. CoRR Yu Chi, Fangneng Zhan, Sibo Wu, Christian Theobalt, Adam Kortylewski
2023	A*	`conf`	General Neural Gauge Fields. ICLR Fangneng Zhan, Lingjie Liu, Adam Kortylewski, Christian Theobalt
2023	J	`jnl`	General Neural Gauge Fields. CoRR Fangneng Zhan, Lingjie Liu, Adam Kortylewski, Christian Theobalt
2023	J	`jnl`	Intriguing Properties of Text-guided Diffusion Models. CoRR Qihao Liu, Adam Kortylewski, Yutong Bai, Song Bai, Alan L. Yuille
2023	J	`jnl`	Multimodal Image Synthesis and Editing: The Generative AI Era. IEEE Trans. Pattern Anal. Mach. Intell. Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Shijian Lu, Lingjie Liu, Adam Kortylewski, Christian Theobalt, Eric P. Xing
2023	J	`jnl`	Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis. CoRR Angtian Wang, Wufei Ma, Alan L. Yuille, Adam Kortylewski
2023	J	`jnl`	OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images. CoRR Bingchen Zhao, Jiahao Wang, Wufei Ma, Artur Jesslen, Siwei Yang, Shaozuo Yu, Oliver Zendel, Christian Theobalt, Alan L. Yuille, Adam Kortylewski
2023	A*	`conf`	PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation. CVPR Qihao Liu, Adam Kortylewski, Alan L. Yuille
2023	J	`jnl`	PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation. CoRR Qihao Liu, Adam Kortylewski, Alan L. Yuille
2023	J	`jnl`	Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning. CoRR Ruxiao Duan, Yaoyao Liu, Jieneng Chen, Adam Kortylewski, Alan L. Yuille
2023	J	`jnl`	Relightable Neural Actor with Intrinsic Decomposition and Pose Control. CoRR Diogo C. Luvizon, Vladislav Golyanik, Adam Kortylewski, Marc Habermann, Christian Theobalt
2023	J	`jnl`	Robust 3D-aware Object Classification via Discriminative Render-and-Compare. CoRR Artur Jesslen, Guofeng Zhang, Angtian Wang, Alan L. Yuille, Adam Kortylewski
2023	J	`jnl`	Robust Category-Level 3D Pose Estimation from Synthetic Data. CoRR Jiahao Yang, Wufei Ma, Angtian Wang, Xiaoding Yuan, Alan L. Yuille, Adam Kortylewski
2023	A*	`conf`	Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation. CVPR Chunlu Li, Andreas Morel-Forster, Thomas Vetter, Bernhard Egger, Adam Kortylewski
2023	J	`jnl`	Scene-Aware 3D Multi-Human Motion Capture from a Single Camera. Comput. Graph. Forum Diogo C. Luvizon, Marc Habermann, Vladislav Golyanik, Adam Kortylewski, Christian Theobalt
2023	J	`jnl`	Scene-Aware 3D Multi-Human Motion Capture from a Single Camera. CoRR Diogo C. Luvizon, Marc Habermann, Vladislav Golyanik, Adam Kortylewski, Christian Theobalt
2023	J	`jnl`	State of the Art in Dense Monocular Non-Rigid 3D Reconstruction. Comput. Graph. Forum Edith Tretschk, Navami Kairanda, Mallikarjun B. R., Rishabh Dabral, Adam Kortylewski, Bernhard Egger, Marc Habermann, Pascal Fua, Christian Theobalt, Vladislav Golyanik
2023	A*	`conf`	Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning. CVPR Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin, Adam Kortylewski, Wufei Ma, Benjamin Van Durme, Alan L. Yuille
2023	A*	`conf`	VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis. ICLR Angtian Wang, Peng Wang, Jian Sun, Adam Kortylewski, Alan L. Yuille
2022	—	`conf`	A Light-Weight Interpretable Model for Nuclei Detection and Weakly-Supervised Segmentation. MOVI@MICCAI 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
2022	A*	`conf`	Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model. CVPR Yihong Sun, Adam Kortylewski, Alan L. Yuille
2022	—	`conf`	HandFlow: Quantifying View-Dependent 3D Ambiguity in Two-Hand Reconstruction with Normalizing Flow. VMV Jiayi Wang, Diogo C. Luvizon, Franziska Mueller, Florian Bernard, Adam Kortylewski, Dan Casas, Christian Theobalt
2022	J	`jnl`	HandFlow: Quantifying View-Dependent 3D Ambiguity in Two-Hand Reconstruction with Normalizing Flow. CoRR Jiayi Wang, Diogo C. Luvizon, Franziska Mueller, Florian Bernard, Adam Kortylewski, Dan Casas, Christian Theobalt
2022	A*	`conf`	Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles. CVPR Qing Liu, Adam Kortylewski, Zhishuai Zhang, Zizhang Li, Mengqi Guo, Qihao Liu, Xiaoding Yuan, Jiteng Mu, Weichao Qiu, Alan L. Yuille
2022	—	`conf`	OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images. ECCV (8) Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan L. Yuille, Adam Kortylewski
2022	—	`conf`	PartImageNet: A Large, High-Quality Dataset of Parts. ECCV (8) Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jieneng Chen, Shuai Liu, Cheng Yang, Qihang Yu, Alan L. Yuille
2022	—	`conf`	Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features. ECCV (9) Wufei Ma, Angtian Wang, Alan L. Yuille, Adam Kortylewski
2022	J	`jnl`	Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features. CoRR Wufei Ma, Angtian Wang, Alan L. Yuille, Adam Kortylewski
2022	A*	`conf`	Simulated Adversarial Testing of Face Recognition Models. CVPR Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff
2022	J	`jnl`	State of the Art in Dense Monocular Non-Rigid 3D Reconstruction. CoRR Edith Tretschk, Navami Kairanda, Mallikarjun B. R., Rishabh Dabral, Adam Kortylewski, Bernhard Egger, Marc Habermann, Pascal Fua, Christian Theobalt, Vladislav Golyanik
2022	J	`jnl`	Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning. CoRR Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin, Adam Kortylewski, Wufei Ma, Benjamin Van Durme, Alan L. Yuille
2022	A*	`conf`	SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering. CVPR Vipul Gupta, Zhuowan Li, Adam Kortylewski, Chenyu Zhang, Yingwei Li, Alan L. Yuille
2022	J	`jnl`	SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering. CoRR Vipul Gupta, Zhuowan Li, Adam Kortylewski, Chenyu Zhang, Yingwei Li, Alan L. Yuille
2022	A*	`conf`	TransFG: A Transformer Architecture for Fine-Grained Recognition. AAAI Ju He, Jieneng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang
2022	J	`jnl`	VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis. CoRR Angtian Wang, Peng Wang, Jian Sun, Adam Kortylewski, Alan L. Yuille
2021	J	`jnl`	A Light-weight Interpretable CompositionalNetwork for Nuclei Detection and Weakly-supervised Segmentation. CoRR 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
2021	A*	`conf`	A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation. ICCV Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan L. Yuille, Nuno Vasconcelos, Xiaolong Wang
2021	J	`jnl`	A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation. CoRR Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan L. Yuille, Nuno Vasconcelos, Xiaolong Wang
2021	J	`jnl`	CGPart: A Part Segmentation Dataset Based on 3D Computer Graphics Models. CoRR Qing Liu, Adam Kortylewski, Zhishuai Zhang, Zizhang Li, Mengqi Guo, Qihao Liu, Xiaoding Yuan, Jiteng Mu, Weichao Qiu, Alan L. Yuille
2021	J	`jnl`	COMPAS: Representation Learning with Compositional Part Sharing for Few-Shot Classification. CoRR Ju He, Adam Kortylewski, Alan L. Yuille
2021	J	`jnl`	Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition Under Occlusion. Int. J. Comput. Vis. Adam Kortylewski, Qing Liu, Angtian Wang, Yihong Sun, Alan L. Yuille
2021	Misc	`conf`	Compositional Generative Networks and Robustness to Perceptible Image Changes. CISS Adam Kortylewski, Ju He, Qing Liu, Christian Cosgrove, Chenglin Yang, Alan L. Yuille
2021	J	`jnl`	Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms. CoRR Chenglin Yang, Siyuan Qiao, Adam Kortylewski, Alan L. Yuille
2021	A*	`conf`	NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation. ICLR Angtian Wang, Adam Kortylewski, Alan L. Yuille
2021	J	`jnl`	NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation. CoRR Angtian Wang, Adam Kortylewski, Alan L. Yuille
2021	A*	`conf`	Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose. NeurIPS Angtian Wang, Shenxiao Mei, Alan L. Yuille, Adam Kortylewski
2021	J	`jnl`	Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose. CoRR Angtian Wang, Shenxiao Mei, Alan L. Yuille, Adam Kortylewski
2021	J	`jnl`	PartImageNet: A Large, High-Quality Dataset of Parts. CoRR Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jieneng Chen, Shuai Liu, Cheng Yang, Alan L. Yuille
2021	J	`jnl`	ROBIN : A Benchmark for Robustness to Individual Nuisancesin Real-World Out-of-Distribution Shifts. CoRR Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan L. Yuille, Adam Kortylewski
2021	J	`jnl`	Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning. CoRR Ju He, Adam Kortylewski, Shaokang Yang, Shuai Liu, Cheng Yang, Changhu Wang, Alan L. Yuille
2021	A*	`conf`	Robust Instance Segmentation Through Reasoning About Multi-Object Occlusion. CVPR Xiaoding Yuan, Adam Kortylewski, Yihong Sun, Alan L. Yuille
2021	J	`jnl`	Simulated Adversarial Testing of Face Recognition Models. CoRR Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff
2021	J	`jnl`	To fit or not to fit: Model-based Face Reconstruction and Occlusion Segmentation from Weak Supervision. CoRR Chunlu Li, Andreas Morel-Forster, Thomas Vetter, Bernhard Egger, Adam Kortylewski
2021	J	`jnl`	TransFG: A Transformer Architecture for Fine-grained Recognition. CoRR Ju He, Jieneng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan L. Yuille
2021	J	`jnl`	Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping. CoRR Prakhar Kaushik, Alex Gain, Adam Kortylewski, Alan L. Yuille
2020	J	`jnl`	3D Morphable Face Models - Past, Present, and Future. ACM Trans. Graph. 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
2020	J	`jnl`	CoKe: Localized Contrastive Learning for Robust Keypoint Detection. CoRR Yutong Bai, Angtian Wang, Adam Kortylewski, Alan L. Yuille
2020	A	`conf`	Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion. WACV Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille
2020	A*	`conf`	Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion. CVPR Adam Kortylewski, Ju He, Qing Liu, Alan L. Yuille
2020	J	`jnl`	Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion. CoRR Adam Kortylewski, Ju He, Qing Liu, Alan L. Yuille
2020	J	`jnl`	Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion. CoRR Adam Kortylewski, Qing Liu, Angtian Wang, Yihong Sun, Alan L. Yuille
2020	—	`conf`	PatchAttack: A Black-Box Texture-Based Attack with Reinforcement Learning. ECCV (26) Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan L. Yuille
2020	J	`jnl`	PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning. CoRR Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan L. Yuille
2020	J	`jnl`	Robust Instance Segmentation through Reasoning about Multi-Object Occlusion. CoRR Xiaoding Yuan, Adam Kortylewski, Yihong Sun, Alan L. Yuille
2020	A*	`conf`	Robust Object Detection Under Occlusion With Context-Aware CompositionalNets. CVPR Angtian Wang, Yihong Sun, Adam Kortylewski, Alan L. Yuille
2020	J	`jnl`	Robust Object Detection under Occlusion with Context-Aware CompositionalNets. CoRR Angtian Wang, Yihong Sun, Adam Kortylewski, Alan L. Yuille
2020	J	`jnl`	Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks. CoRR Christian Cosgrove, Adam Kortylewski, Chenglin Yang, Alan L. Yuille
2020	—	`conf`	TDMPNet: Prototype Network with Recurrent Top-Down Modulation for Robust Object Classification Under Partial Occlusion. ECCV Workshops (2) Mingqing Xiao, Adam Kortylewski, Ruihai Wu, Siyuan Qiao, Wei Shen, Alan L. Yuille
2020	J	`jnl`	Unsupervised Part Discovery via Feature Alignment. CoRR Mengqi Guo, Yutong Bai, Zhishuai Zhang, Adam Kortylewski, Alan L. Yuille
2020	J	`jnl`	Weakly-Supervised Amodal Instance Segmentation with Compositional Priors. CoRR Yihong Sun, Adam Kortylewski, Alan L. Yuille
2019	J	`jnl`	3D Morphable Face Models - Past, Present and Future. CoRR 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
2019	—	`conf`	Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data. CVPR Workshops Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter
2019	J	`jnl`	Compositional Convolutional Networks For Robust Object Classification under Occlusion. CoRR Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille
2019	A*	`conf`	Greedy Structure Learning of Hierarchical Compositional Models. CVPR Adam Kortylewski, Aleksander Wieczorek, Mario Wieser, Clemens Blumer, Sonali Parbhoo, Andreas Morel-Forster, Volker Roth, Thomas Vetter
2019	—	`conf`	Localizing Occluders with Compositional Convolutional Networks. ICCV Workshops Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille
2019	J	`jnl`	Localizing Occluders with Compositional Convolutional Networks. CoRR Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille
2019	J	`jnl`	SkelNetOn 2019 Dataset and Challenge on Deep Learning for Geometric Shape Understanding. CoRR Ilke Demir, Camilla Hahn, Kathryn Leonard, Géraldine Morin, Dana Rahbani, Athina Panotopoulou, Amélie Fondevilla, Elena Balashova, Bastien Durix, Adam Kortylewski
2019	—	`conf`	SkelNetOn 2019: Dataset and Challenge on Deep Learning for Geometric Shape Understanding. CVPR Workshops Ilke Demir, Camilla Hahn, Kathryn Leonard, Géraldine Morin, Dana Rahbani, Athina Panotopoulou, Amélie Fondevilla, Elena Balashova, Bastien Durix, Adam Kortylewski
2019	J	`jnl`	TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion. CoRR Mingqing Xiao, Adam Kortylewski, Ruihai Wu, Siyuan Qiao, Wei Shen, Alan L. Yuille
2018	—	`conf`	Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems. CVPR Workshops Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter
2018	J	`jnl`	Informed MCMC with Bayesian Neural Networks for Facial Image Analysis. CoRR Adam Kortylewski, Mario Wieser, Andreas Morel-Forster, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth, Thomas Vetter
2018	J	`jnl`	Occlusion-Aware 3D Morphable Models and an Illumination Prior for Face Image Analysis. Int. J. Comput. Vis. Bernhard Egger, Sandro Schönborn, Andreas Schneider, Adam Kortylewski, Andreas Morel-Forster, Clemens Blumer, Thomas Vetter
2018	J	`jnl`	Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance. CoRR Adam Kortylewski, Andreas Schneider, Thomas Gerig, Clemens Blumer, Bernhard Egger, Corius Reyneke, Andreas Morel-Forster, Thomas Vetter
2018	J	`jnl`	Training Deep Face Recognition Systems with Synthetic Data. CoRR Adam Kortylewski, Andreas Schneider, Thomas Gerig, Bernhard Egger, Andreas Morel-Forster, Thomas Vetter
2017	J	`jnl`	Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems. CoRR Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter
2017	J	`jnl`	Greedy Compositional Clustering for Unsupervised Learning of Hierarchical Compositional Models. CoRR Adam Kortylewski, Clemens Blumer, Thomas Vetter
2016	A	`conf`	Probabilistic Compositional Active Basis Models for Robust Pattern Recognition. BMVC Adam Kortylewski, Thomas Vetter
2014	—	`conf`	Unsupervised Footwear Impression Analysis and Retrieval from Crime Scene Data. ACCV Workshops (1) Adam Kortylewski, Thomas Albrecht, Thomas Vetter