Adam Kortylewski

According to our database1, Adam Kortylewski authored at least 43 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis.
CoRR, 2022

SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering.
CoRR, 2022

2021
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition Under Occlusion.
Int. J. Comput. Vis., 2021

PartImageNet: A Large, High-Quality Dataset of Parts.
CoRR, 2021

ROBIN : A Benchmark for Robustness to Individual Nuisancesin Real-World Out-of-Distribution Shifts.
CoRR, 2021

A Light-weight Interpretable CompositionalNetwork for Nuclei Detection and Weakly-supervised Segmentation.
CoRR, 2021

Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms.
CoRR, 2021

To fit or not to fit: Model-based Face Reconstruction and Occlusion Segmentation from Weak Supervision.
CoRR, 2021

Simulated Adversarial Testing of Face Recognition Models.
CoRR, 2021

Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning.
CoRR, 2021

CGPart: A Part Segmentation Dataset Based on 3D Computer Graphics Models.
CoRR, 2021

TransFG: A Transformer Architecture for Fine-grained Recognition.
CoRR, 2021

Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping.
CoRR, 2021

COMPAS: Representation Learning with Compositional Part Sharing for Few-Shot Classification.
CoRR, 2021

Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose.
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.
Proceedings of the 9th International Conference on Learning Representations, 2021

A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Robust Instance Segmentation Through Reasoning About Multi-Object Occlusion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Compositional Generative Networks and Robustness to Perceptible Image Changes.
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

2020
3D Morphable Face Models - Past, Present, and Future.
ACM Trans. Graph., 2020

Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks.
CoRR, 2020

Unsupervised Part Discovery via Feature Alignment.
CoRR, 2020

Weakly-Supervised Amodal Instance Segmentation with Compositional Priors.
CoRR, 2020

CoKe: Localized Contrastive Learning for Robust Keypoint Detection.
CoRR, 2020

Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

PatchAttack: A Black-Box Texture-Based Attack with Reinforcement Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

TDMPNet: Prototype Network with Recurrent Top-Down Modulation for Robust Object Classification Under Partial Occlusion.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Robust Object Detection Under Occlusion With Context-Aware CompositionalNets.
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.
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.
CoRR, 2019

Compositional Convolutional Networks For Robust Object Classification under Occlusion.
CoRR, 2019

Localizing Occluders with Compositional Convolutional Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Greedy Structure Learning of Hierarchical Compositional Models.
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.
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.
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.
Int. J. Comput. Vis., 2018

Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance.
CoRR, 2018

Informed MCMC with Bayesian Neural Networks for Facial Image Analysis.
CoRR, 2018

Training Deep Face Recognition Systems with Synthetic Data.
CoRR, 2018

Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems.
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.
CoRR, 2017

2016
Probabilistic Compositional Active Basis Models for Robust Pattern Recognition.
Proceedings of the British Machine Vision Conference 2016, 2016

2014
Unsupervised Footwear Impression Analysis and Retrieval from Crime Scene Data.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014


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