Adam Kortylewski

CoRR, 2024

Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation.

[BibT_eX]

[DOI]

CoRR, 2024

Robust Category-Level 3D Pose Estimation from Diffusion-Enhanced Synthetic Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

AvatarStudio: Text-Driven Editing of 3D Dynamic Human Head Avatars.

[BibT_eX]

[DOI]

ACM Trans. Graph., December, 2023

Multimodal Image Synthesis and Editing: The Generative AI Era.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

State of the Art in Dense Monocular Non-Rigid 3D Reconstruction.

[BibT_eX]

[DOI]

Comput. Graph. Forum, May, 2023

Scene-Aware 3D Multi-Human Motion Capture from a Single Camera.

[BibT_eX]

[DOI]

Comput. Graph. Forum, May, 2023

Relightable Neural Actor with Intrinsic Decomposition and Pose Control.

[BibT_eX]

[DOI]

CoRR, 2023

ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering.

[BibT_eX]

[DOI]

CoRR, 2023

Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning.

[BibT_eX]

[DOI]

CoRR, 2023

DatasetNeRF: Efficient 3D-aware Data Factory with Generative Radiance Fields.

[BibT_eX]

[DOI]

CoRR, 2023

Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape.

[BibT_eX]

[DOI]

CoRR, 2023

3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation.

[BibT_eX]

[DOI]

CoRR, 2023

Adding 3D Geometry Control to Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Intriguing Properties of Text-guided Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Robust Category-Level 3D Pose Estimation from Synthetic Data.

[BibT_eX]

[DOI]

CoRR, 2023

Robust 3D-aware Object Classification via Discriminative Render-and-Compare.

[BibT_eX]

[DOI]

CoRR, 2023

OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images.

[BibT_eX]

[DOI]

CoRR, 2023

CORL: Compositional Representation Learning for Few-Shot Classification.

[BibT_eX]

[DOI]

Ju He

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

CoKe: Contrastive Learning for Robust Keypoint Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

3D-Aware Visual Question Answering about Parts, Poses and Occlusions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

General Neural Gauge Fields.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation.

[BibT_eX]

[DOI]

Qihao Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation.

[BibT_eX]

[DOI]

Chunlu Li

Bernhard Egger

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

HandFlow: Quantifying View-Dependent 3D Ambiguity in Two-Hand Reconstruction with Normalizing Flow.

[BibT_eX]

[DOI]

Proceedings of the VMV 2022, 2022

A Light-Weight Interpretable Model for Nuclei Detection and Weakly-Supervised Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022

OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

PartImageNet: A Large, High-Quality Dataset of Parts.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model.

[BibT_eX]

[DOI]

Yihong Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Simulated Adversarial Testing of Face Recognition Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

TransFG: A Transformer Architecture for Fine-Grained Recognition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition Under Occlusion.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2021

PartImageNet: A Large, High-Quality Dataset of Parts.

[BibT_eX]

[DOI]

CoRR, 2021

ROBIN : A Benchmark for Robustness to Individual Nuisancesin Real-World Out-of-Distribution Shifts.

[BibT_eX]

[DOI]

CoRR, 2021

A Light-weight Interpretable CompositionalNetwork for Nuclei Detection and Weakly-supervised Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms.

[BibT_eX]

[DOI]

CoRR, 2021

To fit or not to fit: Model-based Face Reconstruction and Occlusion Segmentation from Weak Supervision.

[BibT_eX]

[DOI]

Chunlu Li

Bernhard Egger

CoRR, 2021

Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2021

CGPart: A Part Segmentation Dataset Based on 3D Computer Graphics Models.

[BibT_eX]

[DOI]

CoRR, 2021

TransFG: A Transformer Architecture for Fine-grained Recognition.

[BibT_eX]

[DOI]

CoRR, 2021

Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping.

[BibT_eX]

[DOI]

CoRR, 2021

COMPAS: Representation Learning with Compositional Part Sharing for Few-Shot Classification.

[BibT_eX]

[DOI]

Ju He

CoRR, 2021

Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation.

[BibT_eX]

[DOI]

Angtian Wang

Proceedings of the 9th International Conference on Learning Representations, 2021

A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Robust Instance Segmentation Through Reasoning About Multi-Object Occlusion.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Compositional Generative Networks and Robustness to Perceptible Image Changes.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

2020

3D Morphable Face Models - Past, Present, and Future.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2020

Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks.

[BibT_eX]

[DOI]

CoRR, 2020

Unsupervised Part Discovery via Feature Alignment.

[BibT_eX]

[DOI]

CoRR, 2020

Weakly-Supervised Amodal Instance Segmentation with Compositional Priors.

[BibT_eX]

[DOI]

Yihong Sun

CoRR, 2020

CoKe: Localized Contrastive Learning for Robust Keypoint Detection.

[BibT_eX]

[DOI]

CoRR, 2020

Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

PatchAttack: A Black-Box Texture-Based Attack with Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

TDMPNet: Prototype Network with Recurrent Top-Down Modulation for Robust Object Classification Under Partial Occlusion.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Robust Object Detection Under Occlusion With Context-Aware CompositionalNets.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion.

[BibT_eX]

[DOI]

CoRR, 2019

Compositional Convolutional Networks For Robust Object Classification under Occlusion.

[BibT_eX]

[DOI]

CoRR, 2019

Localizing Occluders with Compositional Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Greedy Structure Learning of Hierarchical Compositional Models.

[BibT_eX]

[DOI]

Volker Roth

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

SkelNetOn 2019: Dataset and Challenge on Deep Learning for Geometric Shape Understanding.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Occlusion-Aware 3D Morphable Models and an Illumination Prior for Face Image Analysis.

[BibT_eX]

[DOI]

Clemens Blumer

Int. J. Comput. Vis., 2018

Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance.

[BibT_eX]

[DOI]

CoRR, 2018

Informed MCMC with Bayesian Neural Networks for Facial Image Analysis.

[BibT_eX]

[DOI]

Mario Wieser

CoRR, 2018

Training Deep Face Recognition Systems with Synthetic Data.

[BibT_eX]

[DOI]

CoRR, 2018

Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Greedy Compositional Clustering for Unsupervised Learning of Hierarchical Compositional Models.

[BibT_eX]

[DOI]

Clemens Blumer

CoRR, 2017

2016

Probabilistic Compositional Active Basis Models for Robust Pattern Recognition.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2016, 2016

2014

Unsupervised Footwear Impression Analysis and Retrieval from Crime Scene Data.

[BibT_eX]

[DOI]

Thomas Albrecht