Adam Kortylewski

发表

N E M O : N EURAL M ESH M ODELS OF C ONTRASTIVE F EATURES FOR R OBUST 3D P OSE E STIMATION

A. Yuille, Angtian Wang, Adam Kortylewski, 2021 .

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

A. Yuille, Adam Kortylewski, Yihong Sun, 2020, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A Light-weight Interpretable Compositional Model for Nuclei Detection and Weakly-Supervised Segmentation

A. Yuille, Seyoun Park, J. Taube, 2021, 2110.13846.

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

A. Yuille, Angtian Wang, Adam Kortylewski, 2022, ECCV.

Simulated Adversarial Testing of Face Recognition Models

Sarah Adel Bargal, Cihang Xie, A. Yuille, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

OOD-CV: A Benchmark for Robustness to Individual Nuisances in Real-World Out-of-Distribution Shifts

A. Yuille, Ju He, Angtian Wang, 2021 .

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

A. Yuille, Jian Sun, Angtian Wang, 2022, ArXiv.

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

A. Yuille, Ju He, Angtian Wang, 2021, ECCV.

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

C. Theobalt, P. Fua, R. MallikarjunB., 2022, ArXiv.

CoKe: Localized Contrastive Learning for Robust Keypoint Detection

A. Yuille, Yutong Bai, Angtian Wang, 2020, ArXiv.

CORL: Compositional Representation Learning for Few-Shot Classification

A. Yuille, Ju He, Adam Kortylewski, 2021, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

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

Nuno Vasconcelos, Weichao Qiu, Alan Yuille, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

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

Adam Kortylewski, Géraldine Morin, Kathryn Leonard, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

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

Alan Yuille, Siyuan Qiao, Adam Kortylewski, 2021, ArXiv.

Locally Enhanced Self-Attention: Combining Self-Attention and Convolution as Local and Context Terms

Alan Yuille, Siyuan Qiao, Adam Kortylewski, 2021, 2107.05637.

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

Alan Yuille, Adam Kortylewski, Angtian Wang, 2021, NeurIPS.

Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles

A. Yuille, Weichao Qiu, Adam Kortylewski, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Model-based image analysis for forensic shoe print recognition

Adam Kortylewski, Adam Kortylewski, 2017 .

3D Morphable Face Models—Past, Present, and Future

T. Vetter, M. Zollhöfer, C. Theobalt, 2019, ACM Trans. Graph..

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

C. Theobalt, P. Fua, R. MallikarjunB., 2022, Comput. Graph. Forum.

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

C. Theobalt, Franziska Mueller, D. Casas, 2022, VMV.

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

Thomas Vetter, Adam Kortylewski, Andreas Morel-Forster, 2021, ArXiv.

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

Bernhard Egger, Adam Kortylewski, Andreas Schneider, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

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

Bernhard Egger, Adam Kortylewski, Andreas Schneider, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

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

Benjamin Van Durme, U. California, U. Freiburg, 2022, ArXiv.

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

A. Yuille, Vipul Gupta, Yingwei Li, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

A. Yuille, C. Theobalt, O. Zendel, 2023, ArXiv.

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

T. Vetter, B. Egger, C. Blumer, 2018, International Journal of Computer Vision.

PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning

Cihang Xie, A. Yuille, Yinzhi Cao, 2020, ECCV.

Can Synthetic Faces Undo the Damage of Dataset Bias to Face Recognition and Facial Landmark Detection

Bernhard Egger, Adam Kortylewski, Andreas Schneider, 2018 .

Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance pdf

Bernhard Egger, Adam Kortylewski, Andreas Schneider, 2018, ArXiv.

Unsupervised Footwear Impression Analysis and Retrieval from Crime Scene Data

Thomas Vetter, Adam Kortylewski, Thomas Albrecht, 2014, ACCV Workshops.

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

Alan Yuille, Adam Kortylewski, Qing Liu, 2021, ArXiv.

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

A. Yuille, Seyoun Park, J. Taube, 2022, MOVI@MICCAI.

PartImageNet: A Large, High-Quality Dataset of Parts

A. Yuille, Ju He, Shuo Yang, 2021, ECCV.

Robust Object Detection Under Occlusion With Context-Aware CompositionalNets

Alan Yuille, Adam Kortylewski, Yihong Sun, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

TransFG: A Transformer Architecture for Fine-grained Recognition pdf

Alan Yuille, Adam Kortylewski, Changhu Wang, 2021, AAAI.

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

A. Yuille, Ju He, Adam Kortylewski, 2021, ArXiv.

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

Weichao Qiu, Alan Yuille, Adam Kortylewski, 2021, ArXiv.

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

Alan Yuille, Adam Kortylewski, Alex Gain, 2021, ArXiv.

Robust Instance Segmentation through Reasoning about Multi-Object Occlusion pdf

Alan Yuille, Adam Kortylewski, Xiaoding Yuan, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

Alan Yuille, Adam Kortylewski, Qing Liu, 2020, International Journal of Computer Vision.

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

Alan Yuille, Adam Kortylewski, Angtian Wang, 2021, ICLR.

Training Deep Face Recognition Systems with Synthetic Data pdf

Bernhard Egger, Adam Kortylewski, Andreas Schneider, 2018, ArXiv.

Compositional Generative Networks and Robustness to Perceptible Image Changes

Alan L. Yuille, Adam Kortylewski, Christian Cosgrove, 2021, 2021 55th Annual Conference on Information Sciences and Systems (CISS).

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

Qing Liu, Alan Yuille, Adam Kortylewski, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

Mohamed A. Elgharib, C. Theobalt, Xingang Pan, 2023, ACM Trans. Graph..

Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning pdf

Alan Yuille, Adam Kortylewski, Changhu Wang, 2021, ArXiv.

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

A. Yuille, Wei Shen, Siyuan Qiao, 2019, ECCV Workshops.

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

Zhishuai Zhang, A. Yuille, Huiyu Wang, 2019, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Adding 3D Geometry Control to Diffusion Models

A. Yuille, Angtian Wang, Yaoyao Liu, 2023, ArXiv.

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

T. Vetter, B. Egger, Adam Kortylewski, 2021, 2106.09614.

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

C. Theobalt, Vladislav Golyanik, Marc Habermann, 2023, Comput. Graph. Forum.

Informed MCMC with Bayesian Neural Networks for Facial Image Analysis pdf

Adam Kortylewski, Volker Roth, Andreas Morel-Forster, 2018, ArXiv.

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

A. Yuille, Jian Sun, Angtian Wang, 2022, ICLR.

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

Benjamin Van Durme, U. California, U. Freiburg, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Weakly-Supervised Amodal Instance Segmentation with Compositional Priors

A. Yuille, Adam Kortylewski, Yihong Sun, 2020, ArXiv.

Robust Category-Level 3D Pose Estimation from Synthetic Data

A. Yuille, Angtian Wang, Adam Kortylewski, 2023, 2305.16124.

Multimodal Image Synthesis and Editing: The Generative AI Era

C. Theobalt, Lingjie Liu, Shijian Lu, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

A. Yuille, Yi Zhang, Jieru Mei, 2023, ArXiv.

Adding 3D Geometry Control to Diffusion Models

A. Yuille, Angtian Wang, Yaoyao Liu, 2023, ArXiv.

Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search

A. Yuille, Yutong Bai, Adam Kortylewski, 2023, 2306.00974.

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

Adam Kortylewski, Christian Theobalt, Yu Chi, 2023, ArXiv.

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

Amélie Fondevilla, A. Panotopoulou, Géraldine Morin, 2019, ArXiv.

Relightable Neural Actor with Intrinsic Decomposition and Pose Control

Vladislav Golyanik, Marc Habermann, Adam Kortylewski, 2023, ArXiv.

ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering

Marc Habermann, Adam Kortylewski, Heming Zhu, 2023, ArXiv.

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

Zhuowan Li, Adam Kortylewski, Wufei Ma, 2023, ArXiv.

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

A. Yuille, Angtian Wang, Adam Kortylewski, 2021, ICLR.

DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data

Adam Kortylewski, Qihao Liu, Alan L. Yuille, 2024, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).