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2020 – today
- 2023
[i19]Yusuf Dalva, Hamza Pehlivan, Cansu Moran, Öykü Irmak Hatipoglu, Aysegül Dündar:
Face Attribute Editing with Disentangled Latent Vectors. CoRR abs/2301.04628 (2023)- [i18]Said Fahri Altindis, Adil Meric, Yusuf Dalva, Ugur Güdükbay, Aysegül Dündar:
Refining 3D Human Texture Estimation from a Single Image. CoRR abs/2303.03471 (2023) - 2022
- [j3]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): 3883-3894 (2022) - [c13]Yusuf Dalva, Said Fahri Altindis, Aysegul Dundar:
VecGAN: Image-to-Image Translation with Interpretable Latent Directions. ECCV (16) 2022: 153-169 - [i17]Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro:
Fine Detailed Texture Learning for 3D Meshes with Generative Models. CoRR abs/2203.09362 (2022) - [i16]Yusuf Dalva, Said Fahri Altindis, Aysegul Dundar:
VecGAN: Image-to-Image Translation with Interpretable Latent Directions. CoRR abs/2207.03411 (2022) - [i15]Hamza Pehlivan, Yusuf Dalva, Aysegul Dundar:
StyleRes: Transforming the Residuals for Real Image Editing with StyleGAN. CoRR abs/2212.14359 (2022) - 2021
- [j2]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): 2360-2372 (2021) - [c12]Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro:
View Generalization for Single Image Textured 3D Models. CVPR 2021: 6081-6090 - [c11]Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz:
Dual Contrastive Loss and Attention for GANs. ICCV 2021: 6711-6722 - [i14]Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz:
Dual Contrastive Loss and Attention for GANs. CoRR abs/2103.16748 (2021) - [i13]Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro:
View Generalization for Single Image Textured 3D Models. CoRR abs/2106.06533 (2021) - [i12]Said Fahri Altindis, Yusuf Dalva, Aysegul Dundar:
Benchmarking the Robustness of Instance Segmentation Models. CoRR abs/2109.01123 (2021) - 2020
- [c10]Aysegul Dundar, Karan Sapra, Guilin Liu, Andrew Tao, Bryan Catanzaro:
Panoptic-Based Image Synthesis. CVPR 2020: 8067-8076 - [c9]Morteza Mardani, Guilin Liu, Aysegul Dundar, Shiqiu Liu, Andrew Tao, Bryan Catanzaro:
Neural FFTs for Universal Texture Image Synthesis. NeurIPS 2020 - [i11]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 abs/2001.09518 (2020) - [i10]Aysegul Dundar, Karan Sapra, Guilin Liu, Andrew Tao, Bryan Catanzaro:
Panoptic-based Image Synthesis. CoRR abs/2004.10289 (2020)
2010 – 2019
- 2019
- [c8]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: 892-900 - [i9]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 abs/1906.05928 (2019) - [i8]Kevin J. Shih, Aysegul Dundar, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro:
Video Interpolation and Prediction with Unsupervised Landmarks. CoRR abs/1909.02749 (2019) - 2018
- [i7]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 abs/1807.09384 (2018) - 2017
- [j1]Aysegul Dundar, Jonghoon Jin, Berin Martini, Eugenio Culurciello:
Embedded Streaming Deep Neural Networks Accelerator With Applications. IEEE Trans. Neural Networks Learn. Syst. 28(7): 1572-1583 (2017) - [i6]Ali Borji, Aysegul Dundar:
A new look at clustering through the lens of deep convolutional neural networks. CoRR abs/1706.05048 (2017) - [i5]Aysegul Dundar, Ignacio Garcia-Dorado:
Context Augmentation for Convolutional Neural Networks. CoRR abs/1712.01653 (2017) - 2015
- [c7]Jonghoon Jin, Aysegul Dundar, Eugenio Culurciello:
Flattened Convolutional Neural Networks for Feedforward Acceleration. ICLR (Workshop) 2015 - [i4]Aysegul Dundar, Jonghoon Jin, Eugenio Culurciello:
Convolutional Clustering for Unsupervised Learning. CoRR abs/1511.06241 (2015) - [i3]Jonghoon Jin, Aysegul Dundar, Eugenio Culurciello:
Robust Convolutional Neural Networks under Adversarial Noise. CoRR abs/1511.06306 (2015) - 2014
- [c6]Vinayak Gokhale, Jonghoon Jin, Aysegul Dundar, Berin Martini, Eugenio Culurciello:
A 240 G-ops/s Mobile Coprocessor for Deep Neural Networks. CVPR Workshops 2014: 696-701 - [c5]Aysegul Dundar, Jonghoon Jin, Vinayak Gokhale, Berin Martini, Eugenio Culurciello:
Memory access optimized routing scheme for deep networks on a mobile coprocessor. HPEC 2014: 1-6 - [c4]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: 133-136 - 2013
- [c3]Jonghoon Jin, Aysegul Dundar, Jordan Bates, Clément Farabet, Eugenio Culurciello:
Tracking with deep neural networks. CISS 2013: 1-5 - [c2]Aysegul Dundar, Jonghoon Jin, Eugenio Culurciello:
Visual Tracking with Similarity Matching Ratio. VISAPP (2) 2013: 280-285 - [c1]Eugenio Culurciello, Jordan Bates, Aysegul Dundar, José Antonio Pérez-Carrasco, Clément Farabet:
Clustering Learning for Robotic Vision. ICLR (Workshop Poster) 2013 - [i2]Eugenio Culurciello, Jonghoon Jin, Aysegul Dundar, Jordan Bates:
An Analysis of the Connections Between Layers of Deep Neural Networks. CoRR abs/1306.0152 (2013) - 2012
- [i1]Aysegul Dundar, Jonghoon Jin, Eugenio Culurciello:
Visual Tracking with Similarity Matching Ratio. CoRR abs/1209.2696 (2012)
Coauthor Index
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last updated on 2023-03-16 22:27 CET by the dblp team
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