Adam Kortylewski
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
53
Venues
10
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
53 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature Space. | Leonhard Sommer, Olaf Dnkel, Christian Theobalt, Adam Kortylewski |
| 2025 | CVPR | VidSeg: Training-free Video Semantic Segmentation based on Diffusion Models. | Qian Wang, Abdelrahman Eldesokey, Mohit Mendiratta, Fangneng Zhan, Adam Kortylewski, Christian Theobalt, Peter Wonka |
| 2025 | ICCV | Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels. | Olaf Dkel, Thomas Wimmer, Christian Theobalt, Christian Rupprecht, Adam Kortylewski |
| 2025 | ICCV | CNS-Bench: Benchmarking Image Classifier Robustness Under Continuous Nuisance Shifts. | Olaf Dnkel, Artur Jesslen, Jiahao Xie, Christian Theobalt, Christian Rupprecht, Adam Kortylewski |
| 2025 | ICCV | Scaling 3D Compositional Models for Robust Classification and Pose Estimation. | Xiaoding Yuan, Guofeng Zhang, Prakhar Kaushik, Artur Jesslen, Adam Kortylewski, Alan L. Yuille |
| 2025 | ICLR | Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering. | Xingrui Wang, Wufei Ma, Angtian Wang, Shuo Chen, Adam Kortylewski, Alan L. Yuille |
| 2025 | WACV | PocoLoco: A Point Cloud Diffusion Model of Human Shape in Loose Clothing. | Siddharth Seth, Rishabh Dabral, Diogo C. Luvizon, Marc Habermann, Ming-Hsuan Yang, Christian Theobalt, Adam Kortylewski |
| 2024 | CVPR | A Bayesian Approach to OOD Robustness in Image Classification. | Prakhar Kaushik, Adam Kortylewski, Alan L. Yuille |
| 2024 | CVPR | DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data. | Qihao Liu, Yi Zhang, Song Bai, Adam Kortylewski, Alan L. Yuille |
| 2024 | CVPR | ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering. | Haokai Pang, Heming Zhu, Adam Kortylewski, Christian Theobalt, Marc Habermann |
| 2024 | CVPR | Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos. | Leonhard Sommer, Artur Jesslen, Eddy Ilg, Adam Kortylewski |
| 2024 | ECCV | DatasetNeRF: Efficient 3D-Aware Data Factory with Generative Radiance Fields. | Yu Chi, Fangneng Zhan, Sibo Wu, Christian Theobalt, Adam Kortylewski |
| 2024 | ECCV | iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning. | Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg |
| 2024 | ECCV | NOVUM: Neural Object Volumes for Robust Object Classification. | Artur Jesslen, Guofeng Zhang, Angtian Wang, Wufei Ma, Alan L. Yuille, Adam Kortylewski |
| 2024 | ECCV | Relightable Neural Actor with Intrinsic Decomposition and Pose Control. | Diogo Carbonera Luvizon, Vladislav Golyanik, Adam Kortylewski, Marc Habermann, Christian Theobalt |
| 2024 | ICLR | Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation. | Prakhar Kaushik, Aayush Mishra, Adam Kortylewski, Alan L. Yuille |
| 2024 | ICLR | Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search. | Qihao Liu, Adam Kortylewski, Yutong Bai, Song Bai, Alan L. Yuille |
| 2024 | ICLR | Generating Images with 3D Annotations Using Diffusion Models. | 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 | WACV | Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis. | Angtian Wang, Wufei Ma, Alan L. Yuille, Adam Kortylewski |
| 2024 | WACV | Robust Category-Level 3D Pose Estimation from Diffusion-Enhanced Synthetic Data. | Jiahao Yang, Wufei Ma, Angtian Wang, Xiaoding Yuan, Alan L. Yuille, Adam Kortylewski |
| 2023 | CVPR | Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation. | Chunlu Li, Andreas Morel-Forster, Thomas Vetter, Bernhard Egger, Adam Kortylewski |
| 2023 | CVPR | PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation. | Qihao Liu, Adam Kortylewski, Alan L. Yuille |
| 2023 | CVPR | Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning. | Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin, Adam Kortylewski, Wufei Ma, Benjamin Van Durme, Alan L. Yuille |
| 2023 | ICCV | Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape. | 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 | ICCV | 3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation. | Yi Zhang, Pengliang Ji, Angtian Wang, Jieru Mei, Adam Kortylewski, Alan L. Yuille |
| 2023 | ICLR | VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis. | Angtian Wang, Peng Wang, Jian Sun, Adam Kortylewski, Alan L. Yuille |
| 2023 | ICLR | General Neural Gauge Fields. | Fangneng Zhan, Lingjie Liu, Adam Kortylewski, Christian Theobalt |
| 2023 | WACV | CoKe: Contrastive Learning for Robust Keypoint Detection. | Yutong Bai, Angtian Wang, Adam Kortylewski, Alan L. Yuille |
| 2023 | WACV | CORL: Compositional Representation Learning for Few-Shot Classification. | Ju He, Adam Kortylewski, Alan L. Yuille |
| 2022 | AAAI | TransFG: A Transformer Architecture for Fine-Grained Recognition. | Ju He, Jieneng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang |
| 2022 | CVPR | Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles. | Qing Liu, Adam Kortylewski, Zhishuai Zhang, Zizhang Li, Mengqi Guo, Qihao Liu, Xiaoding Yuan, Jiteng Mu, Weichao Qiu, Alan L. Yuille |
| 2022 | CVPR | SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering. | Vipul Gupta, Zhuowan Li, Adam Kortylewski, Chenyu Zhang, Yingwei Li, Alan L. Yuille |
| 2022 | CVPR | Simulated Adversarial Testing of Face Recognition Models. | Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff |
| 2022 | CVPR | Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model. | Yihong Sun, Adam Kortylewski, Alan L. Yuille |
| 2022 | ECCV | PartImageNet: A Large, High-Quality Dataset of Parts. | Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jieneng Chen, Shuai Liu, Cheng Yang, Qihang Yu, Alan L. Yuille |
| 2022 | ECCV | Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features. | Wufei Ma, Angtian Wang, Alan L. Yuille, Adam Kortylewski |
| 2022 | ECCV | OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images. | Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan L. Yuille, Adam Kortylewski |
| 2022 | MICCAI | A Light-Weight Interpretable Model for Nuclei Detection and Weakly-Supervised Segmentation. | 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 | CISS | Compositional Generative Networks and Robustness to Perceptible Image Changes. | Adam Kortylewski, Ju He, Qing Liu, Christian Cosgrove, Chenglin Yang, Alan L. Yuille |
| 2021 | CVPR | Robust Instance Segmentation Through Reasoning About Multi-Object Occlusion. | Xiaoding Yuan, Adam Kortylewski, Yihong Sun, Alan L. Yuille |
| 2021 | ICCV | A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation. | Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan L. Yuille, Nuno Vasconcelos, Xiaolong Wang |
| 2021 | ICLR | NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation. | Angtian Wang, Adam Kortylewski, Alan L. Yuille |
| 2020 | CVPR | Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion. | Adam Kortylewski, Ju He, Qing Liu, Alan L. Yuille |
| 2020 | CVPR | Robust Object Detection Under Occlusion With Context-Aware CompositionalNets. | Angtian Wang, Yihong Sun, Adam Kortylewski, Alan L. Yuille |
| 2020 | ECCV | TDMPNet: Prototype Network with Recurrent Top-Down Modulation for Robust Object Classification Under Partial Occlusion. | Mingqing Xiao, Adam Kortylewski, Ruihai Wu, Siyuan Qiao, Wei Shen, Alan L. Yuille |
| 2020 | ECCV | PatchAttack: A Black-Box Texture-Based Attack with Reinforcement Learning. | Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan L. Yuille |
| 2020 | WACV | Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion. | Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille |
| 2019 | CVPR | SkelNetOn 2019: Dataset and Challenge on Deep Learning for Geometric Shape Understanding. | Ilke Demir, Camilla Hahn, Kathryn Leonard, Graldine Morin, Dana Rahbani, Athina Panotopoulou, Amlie Fondevilla, Elena Balashova, Bastien Durix, Adam Kortylewski |
| 2019 | CVPR | Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data. | Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter |
| 2019 | CVPR | Greedy Structure Learning of Hierarchical Compositional Models. | Adam Kortylewski, Aleksander Wieczorek, Mario Wieser, Clemens Blumer, Sonali Parbhoo, Andreas Morel-Forster, Volker Roth, Thomas Vetter |
| 2018 | CVPR | Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems. | Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter |
| 2016 | BMVC | Probabilistic Compositional Active Basis Models for Robust Pattern Recognition. | Adam Kortylewski, Thomas Vetter |
| 2014 | ACCV | Unsupervised Footwear Impression Analysis and Retrieval from Crime Scene Data. | Adam Kortylewski, Thomas Albrecht, Thomas Vetter |