Aysegul Dundar

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 37

Top Topics

Unsupervised Learning

Diffusion Models

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro
Progressive Learning of 3D Reconstruction Network From 2D GAN Data. IEEE Trans. Pattern Anal. Mach. Intell. 46 (2) (2024)
Burak Tasdemir, Mustafa Goktan Gudukbay, Dogac Eldenk, Adil Meric, Aysegul Dundar
Learning Portrait Drawing with Unsupervised Parts. Int. J. Comput. Vis. 132 (4) (2024)
Yigit Ekin, Ahmet Burak Yildirim, Erdem Eren Caglar, Aykut Erdem, Erkut Erdem, Aysegul Dundar
CLIPAway: Harmonizing Focused Embeddings for Removing Objects via Diffusion Models. CoRR (2024)
Bahri Batuhan Bilecen, Yigit Yalin, Ning Yu, Aysegul Dundar
Reference-Based 3D-Aware Image Editing with Triplane. CoRR (2024)
Ahmet Burak Yildirim, Hamza Pehlivan, Bahri Batuhan Bilecen, Aysegul Dundar
Diverse Inpainting and Editing with GAN Inversion. ICCV (2023)
Ahmet Burak Yildirim, Hamza Pehlivan, Bahri Batuhan Bilecen, Aysegul Dundar
Diverse Inpainting and Editing with GAN Inversion. CoRR (2023)
Hakan Sivuk, Aysegul Dundar
Diverse Semantic Image Editing with Style Codes. CoRR (2023)
Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro
Fine Detailed Texture Learning for 3D Meshes With Generative Models. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Ahmet Burak Yildirim, Vedat Baday, Erkut Erdem, Aykut Erdem, Aysegul Dundar
Inst-Inpaint: Instructing to Remove Objects with Diffusion Models. CoRR (2023)
Hamza Pehlivan, Yusuf Dalva, Aysegul Dundar
StyleRes: Transforming the Residuals for Real Image Editing with StyleGAN. CVPR (2023)
Guilin Liu, Aysegul Dundar, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Xiaodong Yang, Andrew Tao, Bryan Catanzaro
Partial Convolution for Padding, Inpainting, and Image Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Yusuf Dalva, Hamza Pehlivan, Öykü Irmak Hatipoglu, Cansu Moran, Aysegul Dundar
Image-to-Image Translation With Disentangled Latent Vectors for Face Editing. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro
Progressive Learning of 3D Reconstruction Network from 2D GAN Data. CoRR (2023)
Ahmet Burak Yildirim, Hamza Pehlivan, Aysegul Dundar
Warping the Residuals for Image Editing with StyleGAN. CoRR (2023)
Sukru Burc Eryilmaz, Aysegul Dundar
Understanding How Orthogonality of Parameters Improves Quantization of Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro
Fine Detailed Texture Learning for 3D Meshes with Generative Models. CoRR (2022)
Hamza Pehlivan, Yusuf Dalva, Aysegul Dundar
StyleRes: Transforming the Residuals for Real Image Editing with StyleGAN. CoRR (2022)
Yusuf Dalva, Said Fahri Altindis, Aysegul Dundar
VecGAN: Image-to-Image Translation with Interpretable Latent Directions. CoRR (2022)
Yusuf Dalva, Said Fahri Altindis, Aysegul Dundar
VecGAN: Image-to-Image Translation with Interpretable Latent Directions. ECCV (16) (2022)
Aysegul Dundar, Kevin J. Shih, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro
Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro
View Generalization for Single Image Textured 3D Models. CVPR (2021)
Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro
View Generalization for Single Image Textured 3D Models. CoRR (2021)
Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz
Dual Contrastive Loss and Attention for GANs. CoRR (2021)
Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz
Dual Contrastive Loss and Attention for GANs. ICCV (2021)
Said Fahri Altindis, Yusuf Dalva, Aysegul Dundar
Benchmarking the Robustness of Instance Segmentation Models. CoRR (2021)
Aysegul Dundar, Ming-Yu Liu, Zhiding Yu, Ting-Chun Wang, John Zedlewski, Jan Kautz
Domain Stylization: A Fast Covariance Matching Framework Towards Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 43 (7) (2021)
Aysegul Dundar, Kevin J. Shih, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro
Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos. CoRR (2020)
Morteza Mardani, Guilin Liu, Aysegul Dundar, Shiqiu Liu, Andrew Tao, Bryan Catanzaro
Neural FFTs for Universal Texture Image Synthesis. NeurIPS (2020)
Aysegul Dundar, Karan Sapra, Guilin Liu, Andrew Tao, Bryan Catanzaro
Panoptic-Based Image Synthesis. CVPR (2020)
Aysegul Dundar, Karan Sapra, Guilin Liu, Andrew Tao, Bryan Catanzaro
Panoptic-based Image Synthesis. CoRR (2020)
Fitsum A. Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J. Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro
Unsupervised Video Interpolation Using Cycle Consistency. CoRR (2019)
Fitsum A. Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J. Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro
Unsupervised Video Interpolation Using Cycle Consistency. ICCV (2019)
Kevin J. Shih, Aysegul Dundar, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro
Video Interpolation and Prediction with Unsupervised Landmarks. CoRR (2019)
Aysegul Dundar, Ming-Yu Liu, Ting-Chun Wang, John Zedlewski, Jan Kautz
Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation. CoRR (2018)
Ali Borji, Aysegul Dundar
A new look at clustering through the lens of deep convolutional neural networks. CoRR (2017)
Aysegul Dundar, Ignacio Garcia-Dorado
Context Augmentation for Convolutional Neural Networks. CoRR (2017)
Aysegul Dundar, Jonghoon Jin, Berin Martini, Eugenio Culurciello
Embedded Streaming Deep Neural Networks Accelerator With Applications. IEEE Trans. Neural Networks Learn. Syst. 28 (7) (2017)
Jonghoon Jin, Aysegul Dundar, Eugenio Culurciello
Robust Convolutional Neural Networks under Adversarial Noise. CoRR (2015)
Aysegul Dundar, Jonghoon Jin, Eugenio Culurciello
Convolutional Clustering for Unsupervised Learning. CoRR (2015)
Jonghoon Jin, Aysegul Dundar, Eugenio Culurciello
Flattened Convolutional Neural Networks for Feedforward Acceleration. ICLR (Workshop) (2015)
Aysegul Dundar, Jonghoon Jin, Vinayak Gokhale, Berin Martini, Eugenio Culurciello
Memory access optimized routing scheme for deep networks on a mobile coprocessor. HPEC (2014)
Vinayak Gokhale, Jonghoon Jin, Aysegul Dundar, Berin Martini, Eugenio Culurciello
A 240 G-ops/s Mobile Coprocessor for Deep Neural Networks. CVPR Workshops (2014)
Jonghoon Jin, Vinayak Gokhale, Aysegul Dundar, Bharadwaj Krishnamurthy, Berin Martini, Eugenio Culurciello
An efficient implementation of deep convolutional neural networks on a mobile coprocessor. MWSCAS (2014)
Aysegul Dundar, Jonghoon Jin, Eugenio Culurciello
Visual Tracking with Similarity Matching Ratio. VISAPP (2) (2013)
Eugenio Culurciello, Jonghoon Jin, Aysegul Dundar, Jordan Bates
An Analysis of the Connections Between Layers of Deep Neural Networks. CoRR (2013)
Eugenio Culurciello, Jordan Bates, Aysegul Dundar, José Antonio Pérez-Carrasco, Clément Farabet
Clustering Learning for Robotic Vision ICLR (Workshop Poster) (2013)
Jonghoon Jin, Aysegul Dundar, Jordan Bates, Clément Farabet, Eugenio Culurciello
Tracking with deep neural networks. CISS (2013)
Aysegul Dundar, Jonghoon Jin, Eugenio Culurciello
Visual Tracking with Similarity Matching Ratio CoRR (2012)