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Aysegul Dundar
Aysegul Dundar
Bilkent University, NVIDIA
Verified email at nvidia.com
Title
Cited by
Cited by
Year
A 240 g-ops/s mobile coprocessor for deep neural networks
V Gokhale, J Jin, A Dundar, B Martini, E Culurciello
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
4252014
Flattened convolutional neural networks for feedforward acceleration
J Jin, A Dundar, E Culurciello
arXiv preprint arXiv:1412.5474, 2014
3342014
Embedded streaming deep neural networks accelerator with applications
A Dundar, J Jin, B Martini, E Culurciello
IEEE Transactions on Neural Networks and Learning Systems 28 (7), 1572-1583, 2016
1352016
Domain stylization: A strong, simple baseline for synthetic to real image domain adaptation
A Dundar, MY Liu, TC Wang, J Zedlewski, J Kautz
arXiv preprint arXiv:1807.09384, 2018
882018
Convolutional clustering for unsupervised learning
A Dundar, J Jin, E Culurciello
arXiv preprint arXiv:1511.06241, 2015
882015
Unsupervised Video Interpolation Using Cycle Consistency
FA Reda, D Sun, A Dundar, M Shoeybi, G Liu, KJ Shih, A Tao, J Kautz, ...
Proceedings of the IEEE International Conference on Computer Vision, 892-900, 2019
862019
Robust convolutional neural networks under adversarial noise
J Jin, A Dundar, E Culurciello
arXiv preprint arXiv:1511.06306, 2015
862015
An efficient implementation of deep convolutional neural networks on a mobile coprocessor
J Jin, V Gokhale, A Dundar, B Krishnamurthy, B Martini, E Culurciello
2014 IEEE 57th International Midwest Symposium on Circuits and Systems …, 2014
682014
Tracking with deep neural networks
J Jin, A Dundar, J Bates, C Farabet, E Culurciello
2013 47th annual conference on information sciences and systems (CISS), 1-5, 2013
602013
Dual contrastive loss and attention for gans
N Yu, G Liu, A Dundar, A Tao, B Catanzaro, L Davis, M Fritz
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
562021
Domain stylization: A fast covariance matching framework towards domain adaptation
A Dundar, MY Liu, Z Yu, TC Wang, J Zedlewski, J Kautz
IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (7), 2360-2372, 2020
502020
Panoptic-based Image Synthesis
A Dundar, K Sapra, G Liu, A Tao, B Catanzaro
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
502020
Unsupervised disentanglement of pose, appearance and background from images and videos
A Dundar, K Shih, A Garg, R Pottorff, A Tao, B Catanzaro
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (7), 3883-3894, 2021
40*2021
Partial convolution for padding, inpainting, and image synthesis
G Liu, A Dundar, KJ Shih, TC Wang, FA Reda, K Sapra, Z Yu, X Yang, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 6096-6110, 2022
372022
Memory Access Optimized Routing Scheme for Deep Networks on a Mobile Coprocessor
A Dundar, J Jin, V Gokhale, B Martini, E Culurciello
IEEE High Performance Extreme Computing Conference (HPEC), 2014
332014
Domain stylization using a neural network model
A Dundar, MY Liu, TC Wang, J Zedlewski, J Kautz
US Patent 10,984,286, 2021
312021
Accelerating deep neural networks on mobile processor with embedded programmable logic
A Dundar, J Jin, V Gokhale, B Krishnamurthy, A Canziani, B Martini, ...
Neural information processing systems conference (NIPS), 2013
302013
View Generalization for Single Image Textured 3D Models
A Bhattad, A Dundar, G Liu, A Tao, B Catanzaro
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
292021
Neural FFTs for Universal Texture Image Synthesis
M Mardani, G Liu, A Dundar, S Liu, A Tao, B Catanzaro
Advances in Neural Information Processing Systems (NeurIPS), 2020
292020
Computing architecture with concurrent programmable data co-processor
E Culurciello, BE Martini, VA Gokhale, J Jin, A Dundar
US Patent 9,858,220, 2018
28*2018
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