Kortylewski, Adam

53 publications

ICCV 2025 CNS-Bench: Benchmarking Image Classifier Robustness Under Continuous Nuisance Shifts Olaf Dünkel, Artur Jesslen, Jiahao Xie, Christian Theobalt, Christian Rupprecht, Adam Kortylewski

CVPR 2025 Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature Space Leonhard Sommer, Olaf Dünkel, Christian Theobalt, Adam Kortylewski

ICLR 2025 Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering Xingrui Wang, Wufei Ma, Angtian Wang, Shuo Chen, Adam Kortylewski, Alan Yuille

ICCV 2025 Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels Olaf Dünkel, Thomas Wimmer, Christian Theobalt, Christian Rupprecht, Adam Kortylewski

WACV 2025 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

ICCV 2025 Scaling 3D Compositional Models for Robust Classification and Pose Estimation Xiaoding Yuan, Guofeng Zhang, Prakhar Kaushik, Artur Jesslen, Adam Kortylewski, Alan Yuille

CVPR 2025 VidSeg: Training-Free Video Semantic Segmentation Based on Diffusion Models Qian Wang, Abdelrahman Eldesokey, Mohit Mendiratta, Fangneng Zhan, Adam Kortylewski, Christian Theobalt, Peter Wonka

CVPR 2024 A Bayesian Approach to OOD Robustness in Image Classification Prakhar Kaushik, Adam Kortylewski, Alan Yuille

CVPR 2024 ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering Haokai Pang, Heming Zhu, Adam Kortylewski, Christian Theobalt, Marc Habermann

CVPR 2024 DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data Qihao Liu, Yi Zhang, Song Bai, Adam Kortylewski, Alan Yuille

ECCV 2024 DatasetNeRF: Efficient 3D-Aware Data Factory with Generative Radiance Fields Yu Chi, Fangneng Zhan, Sibo Wu, Christian Theobalt, Adam Kortylewski

ICLR 2024 Discovering Failure Modes of Text-Guided Diffusion Models via Adversarial Search Qihao Liu, Adam Kortylewski, Yutong Bai, Song Bai, Alan Yuille

ICLR 2024 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 Yuille

NeurIPS 2024 ImageNet3D: Towards General-Purpose Object-Level 3D Understanding Wufei Ma, Guofeng Zhang, Qihao Liu, Guanning Zeng, Adam Kortylewski, Yaoyao Liu, Alan Yuille

ECCV 2024 NOVUM: Neural Object Volumes for Robust Object Classification Artur Jesslen, Guofeng Zhang, Angtian Wang, Wufei Ma, Alan Yuille, Adam Kortylewski

WACV 2024 Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis Angtian Wang, Wufei Ma, Alan Yuille, Adam Kortylewski

ECCV 2024 Relightable Neural Actor with Intrinsic Decomposition and Pose Control Diogo Carbonera Luvizon, Vladislav Golyanik, Adam Kortylewski, Marc Habermann, Christian Theobalt

WACV 2024 Robust Category-Level 3D Pose Estimation from Diffusion-Enhanced Synthetic Data Jiahao Yang, Wufei Ma, Angtian Wang, Xiaoding Yuan, Alan Yuille, Adam Kortylewski

ICLR 2024 Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation Prakhar Kaushik, Aayush Mishra, Adam Kortylewski, Alan Yuille

CVPR 2024 Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos Leonhard Sommer, Artur Jesslen, Eddy Ilg, Adam Kortylewski

ECCV 2024 iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan Yuille, Adam Kortylewski, Eddy Ilg

ICCV 2023 3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation Yi Zhang, Pengliang Ji, Angtian Wang, Jieru Mei, Adam Kortylewski, Alan Yuille

NeurIPS 2023 3D-Aware Visual Question Answering About Parts, Poses and Occlusions Xingrui Wang, Wufei Ma, Zhuowan Li, Adam Kortylewski, Alan L. Yuille

ICCV 2023 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 Yuille, Adam Kortylewski

WACV 2023 CORL: Compositional Representation Learning for Few-Shot Classification Ju He, Adam Kortylewski, Alan Yuille

WACV 2023 CoKe: Contrastive Learning for Robust Keypoint Detection Yutong Bai, Angtian Wang, Adam Kortylewski, Alan Yuille

ICLR 2023 General Neural Gauge Fields Fangneng Zhan, Lingjie Liu, Adam Kortylewski, Christian Theobalt

CVPR 2023 PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation Qihao Liu, Adam Kortylewski, Alan L. Yuille

CVPR 2023 Robust Model-Based Face Reconstruction Through Weakly-Supervised Outlier Segmentation Chunlu Li, Andreas Morel-Forster, Thomas Vetter, Bernhard Egger, Adam Kortylewski

CVPR 2023 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

ICLR 2023 VoGE: A Differentiable Volume Renderer Using Gaussian Ellipsoids for Analysis-by-Synthesis Angtian Wang, Peng Wang, Jian Sun, Adam Kortylewski, Alan Yuille

CVPR 2022 Amodal Segmentation Through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model Yihong Sun, Adam Kortylewski, Alan Yuille

CVPR 2022 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 Yuille

ICMLW 2022 OOD-CV: A Benchmark for Robustness to Individual Nuisances in Real-World Out-of-Distribution Shifts Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan Yuille, Adam Kortylewski

ECCV 2022 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 Yuille, Adam Kortylewski

ECCV 2022 PartImageNet: A Large, High-Quality Dataset of Parts Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jie-Neng Chen, Shuai Liu, Cheng Yang, Qihang Yu, Alan Yuille

ECCV 2022 Robust Category-Level 6d Pose Estimation with Coarse-to-Fine Rendering of Neural Features Wufei Ma, Angtian Wang, Alan Yuille, Adam Kortylewski

CVPR 2022 Simulated Adversarial Testing of Face Recognition Models Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan Yuille, Stan Sclaroff

CVPR 2022 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 Yuille

AAAI 2022 TransFG: A Transformer Architecture for Fine-Grained Recognition Ju He, Jieneng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang

NeurIPSW 2022 Volumetric Neural Human for Robust Pose Optimization via Analysis-by-Synthesis Pengliang Ji, Angtian Wang, Yi Zhang, Adam Kortylewski, Alan Yuille

ICCV 2021 A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan Yuille, Nuno Vasconcelos, Xiaolong Wang

ICLR 2021 NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation Angtian Wang, Adam Kortylewski, Alan Yuille

NeurIPS 2021 Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose Angtian Wang, Shenxiao Mei, Alan L. Yuille, Adam Kortylewski

CVPR 2021 Robust Instance Segmentation Through Reasoning About Multi-Object Occlusion Xiaoding Yuan, Adam Kortylewski, Yihong Sun, Alan Yuille

NeurIPSW 2021 Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping Prakhar Kaushik, Adam Kortylewski, Alex Gain, Alan Yuille

WACV 2020 Combining Compositional Models and Deep Networks for Robust Object Classification Under Occlusion Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan Yuille

ECCV 2020 PatchAttack: A Black-Box Texture-Based Attack with Reinforcement Learning Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan Yuille

ECCVW 2020 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

CVPRW 2019 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

ICCVW 2019 Localizing Occluders with Compositional Convolutional Networks Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan L. Yuille

CVPRW 2019 SkelNetOn 2019: Dataset and Challenge on Deep Learning for Geometric Shape Understanding Ilke Demir, Camilla Hahn, Kathryn Leonard, Géraldine Morin, Dana Rahbani, Athina Panotopoulou, Amélie Fondevilla, Elena Balashova, Bastien Durix, Adam Kortylewski

CVPRW 2018 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