Aysegul Dundar

Orcid: 0000-0003-2014-6325

According to our database1, Aysegul Dundar authored at least 41 papers between 2013 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Learning Portrait Drawing with Unsupervised Parts.
Int. J. Comput. Vis., April, 2024

Progressive Learning of 3D Reconstruction Network From 2D GAN Data.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images.
CoRR, 2024

CLIPAway: Harmonizing Focused Embeddings for Removing Objects via Diffusion Models.
CoRR, 2024

Reference-Based 3D-Aware Image Editing with Triplane.
CoRR, 2024

2023
Understanding How Orthogonality of Parameters Improves Quantization of Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Fine Detailed Texture Learning for 3D Meshes With Generative Models.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Image-to-Image Translation With Disentangled Latent Vectors for Face Editing.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Partial Convolution for Padding, Inpainting, and Image Synthesis.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Warping the Residuals for Image Editing with StyleGAN.
CoRR, 2023

Diverse Semantic Image Editing with Style Codes.
CoRR, 2023

Inst-Inpaint: Instructing to Remove Objects with Diffusion Models.
CoRR, 2023

Refining 3D Human Texture Estimation from a Single Image.
CoRR, 2023

Face Attribute Editing with Disentangled Latent Vectors.
CoRR, 2023

Diverse Inpainting and Editing with GAN Inversion.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

StyleRes: Transforming the Residuals for Real Image Editing with StyleGAN.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

VecGAN: Image-to-Image Translation with Interpretable Latent Directions.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Domain Stylization: A Fast Covariance Matching Framework Towards Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Benchmarking the Robustness of Instance Segmentation Models.
CoRR, 2021

Dual Contrastive Loss and Attention for GANs.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

View Generalization for Single Image Textured 3D Models.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Neural FFTs for Universal Texture Image Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Panoptic-Based Image Synthesis.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Video Interpolation and Prediction with Unsupervised Landmarks.
CoRR, 2019

Unsupervised Video Interpolation Using Cycle Consistency.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation.
CoRR, 2018

2017
Embedded Streaming Deep Neural Networks Accelerator With Applications.
IEEE Trans. Neural Networks Learn. Syst., 2017

Context Augmentation for Convolutional Neural Networks.
CoRR, 2017

A new look at clustering through the lens of deep convolutional neural networks.
CoRR, 2017

2016
Learning from minimally labeled data with accelerated convolutional neural networks
PhD thesis, 2016

2015
Robust Convolutional Neural Networks under Adversarial Noise.
CoRR, 2015

Flattened Convolutional Neural Networks for Feedforward Acceleration.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Convolutional Clustering for Unsupervised Learning.
CoRR, 2015

2014
An efficient implementation of deep convolutional neural networks on a mobile coprocessor.
Proceedings of the IEEE 57th International Midwest Symposium on Circuits and Systems, 2014

Memory access optimized routing scheme for deep networks on a mobile coprocessor.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2014

A 240 G-ops/s Mobile Coprocessor for Deep Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Clustering Learning for Robotic Vision
Proceedings of the 1st International Conference on Learning Representations, 2013

An Analysis of the Connections Between Layers of Deep Neural Networks.
CoRR, 2013

Visual Tracking with Similarity Matching Ratio.
Proceedings of the VISAPP 2013, 2013

Tracking with deep neural networks.
Proceedings of the 47th Annual Conference on Information Sciences and Systems, 2013


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