Aysegul Dundar

65 papers A* 10Misc 1Journal 45Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FullCircle: Effortless 3D Reconstruction from Casual 360 CoRR Yalda Foroutan, Ipek Oztas, Daniel Rebain, Aysegul Dundar, Kwang Moo Yi, Lily Goli, Andrea Tagliasacchi
2026	J	`jnl`	GeoFusionLRM: Geometry-Aware Self-Correction for Consistent 3D Reconstruction. CoRR Ahmet Burak Yildirim, Tuna Saygin, Duygu Ceylan, Aysegul Dundar
2025	—	`conf`	3D Stylization via Large Reconstruction Model. SIGGRAPH (Conference Paper Track) Ipek Oztas, Duygu Ceylan, Aysegul Dundar
2025	J	`jnl`	3D Stylization via Large Reconstruction Model. CoRR Ipek Oztas, Duygu Ceylan, Aysegul Dundar
2025	J	`jnl`	DiffStyle360: Diffusion-Based 360° Head Stylization via Style Fusion Attention. CoRR Furkan Guzelant, Arda Goktogan, Tarik Kaya, Aysegul Dundar
2025	J	`jnl`	MD-ProjTex: Texturing 3D Shapes with Multi-Diffusion Projection. CoRR Ahmet Burak Yildirim, Mustafa Utku Aydogdu, Duygu Ceylan, Aysegul Dundar
2025	A*	`conf`	Reference-Based 3D-Aware Image Editing with Triplanes. CVPR Bahri Batuhan Bilecen, Yigit Yalin, Ning Yu, Aysegul Dundar
2025	J	`jnl`	RoPECraft: Training-Free Motion Transfer with Trajectory-Guided RoPE Optimization on Diffusion Transformers. CoRR Ahmet Berke Gokmen, Yigit Ekin, Bahri Batuhan Bilecen, Aysegul Dundar
2025	J	`jnl`	Trident: Detecting Face Forgeries with Adversarial Triplet Learning. CoRR Mustafa Hakan Kara, Aysegul Dundar, Ugur Güdükbay
2025	J	`jnl`	Warping the Residuals for Image Editing with StyleGAN. Int. J. Comput. Vis. Ahmet Burak Yildirim, Hamza Pehlivan, Aysegul Dundar
2024	J	`jnl`	Benchmarking the Robustness of Instance Segmentation Models. IEEE Trans. Neural Networks Learn. Syst. Yusuf Dalva, Hamza Pehlivan, Said Fahri Altindis, Aysegul Dundar
2024	J	`jnl`	CLIPAway: Harmonizing Focused Embeddings for Removing Objects via Diffusion Models. CoRR Yigit Ekin, Ahmet Burak Yildirim, Erdem Eren Caglar, Aykut Erdem, Erkut Erdem, Aysegul Dundar
2024	A*	`conf`	CLIPAway: Harmonizing focused embeddings for removing objects via diffusion models. NeurIPS Yigit Ekin, Ahmet Burak Yildirim, Erdem Eren Caglar, Aykut Erdem, Erkut Erdem, Aysegul Dundar
2024	A*	`conf`	Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images. NeurIPS Bahri Batuhan Bilecen, Ahmet Berke Gökmen, Aysegul Dundar
2024	J	`jnl`	Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images. CoRR Bahri Batuhan Bilecen, Ahmet Berke Gökmen, Aysegul Dundar
2024	J	`jnl`	Identity Preserving 3D Head Stylization with Multiview Score Distillation. CoRR Bahri Batuhan Bilecen, Ahmet Berke Gökmen, Furkan Guzelant, Aysegul Dundar
2024	J	`jnl`	Learning Portrait Drawing with Unsupervised Parts. Int. J. Comput. Vis. Burak Tasdemir, Mustafa Goktan Gudukbay, Dogaç Eldenk, Adil Meric, Aysegul Dundar
2024	J	`jnl`	Progressive Learning of 3D Reconstruction Network From 2D GAN Data. IEEE Trans. Pattern Anal. Mach. Intell. Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro
2024	J	`jnl`	Reference-Based 3D-Aware Image Editing with Triplane. CoRR Bahri Batuhan Bilecen, Yigit Yalin, Ning Yu, Aysegul Dundar
2024	J	`jnl`	Refining 3D Human Texture Estimation From a Single Image. IEEE Trans. Pattern Anal. Mach. Intell. Said Fahri Altindis, Adil Meric, Yusuf Dalva, Ugur Güdükbay, Aysegul Dundar
2023	A*	`conf`	Diverse Inpainting and Editing with GAN Inversion. ICCV Ahmet Burak Yildirim, Hamza Pehlivan, Bahri Batuhan Bilecen, Aysegul Dundar
2023	J	`jnl`	Diverse Inpainting and Editing with GAN Inversion. CoRR Ahmet Burak Yildirim, Hamza Pehlivan, Bahri Batuhan Bilecen, Aysegul Dundar
2023	J	`jnl`	Diverse Semantic Image Editing with Style Codes. CoRR Hakan Sivuk, Aysegul Dundar
2023	J	`jnl`	Fine Detailed Texture Learning for 3D Meshes With Generative Models. IEEE Trans. Pattern Anal. Mach. Intell. Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro
2023	J	`jnl`	Image-to-Image Translation With Disentangled Latent Vectors for Face Editing. IEEE Trans. Pattern Anal. Mach. Intell. Yusuf Dalva, Hamza Pehlivan, Öykü Irmak Hatipoglu, Cansu Moran, Aysegul Dundar
2023	J	`jnl`	Inst-Inpaint: Instructing to Remove Objects with Diffusion Models. CoRR Ahmet Burak Yildirim, Vedat Baday, Erkut Erdem, Aykut Erdem, Aysegul Dundar
2023	J	`jnl`	Partial Convolution for Padding, Inpainting, and Image Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. Guilin Liu, Aysegul Dundar, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Xiaodong Yang, Andrew Tao, Bryan Catanzaro
2023	J	`jnl`	Progressive Learning of 3D Reconstruction Network from 2D GAN Data. CoRR Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro
2023	A*	`conf`	StyleRes: Transforming the Residuals for Real Image Editing with StyleGAN. CVPR Hamza Pehlivan, Yusuf Dalva, Aysegul Dundar
2023	J	`jnl`	Understanding How Orthogonality of Parameters Improves Quantization of Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Sukru Burc Eryilmaz, Aysegul Dundar
2023	J	`jnl`	Warping the Residuals for Image Editing with StyleGAN. CoRR Ahmet Burak Yildirim, Hamza Pehlivan, Aysegul Dundar
2022	J	`jnl`	Fine Detailed Texture Learning for 3D Meshes with Generative Models. CoRR Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro
2022	J	`jnl`	StyleRes: Transforming the Residuals for Real Image Editing with StyleGAN. CoRR Hamza Pehlivan, Yusuf Dalva, Aysegul Dundar
2022	J	`jnl`	Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos. IEEE Trans. Pattern Anal. Mach. Intell. Aysegul Dundar, Kevin J. Shih, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro
2022	—	`conf`	VecGAN: Image-to-Image Translation with Interpretable Latent Directions. ECCV (16) Yusuf Dalva, Said Fahri Altindis, Aysegul Dundar
2022	J	`jnl`	VecGAN: Image-to-Image Translation with Interpretable Latent Directions. CoRR Yusuf Dalva, Said Fahri Altindis, Aysegul Dundar
2021	J	`jnl`	Benchmarking the Robustness of Instance Segmentation Models. CoRR Said Fahri Altindis, Yusuf Dalva, Aysegul Dundar
2021	J	`jnl`	Domain Stylization: A Fast Covariance Matching Framework Towards Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. Aysegul Dundar, Ming-Yu Liu, Zhiding Yu, Ting-Chun Wang, John Zedlewski, Jan Kautz
2021	A*	`conf`	Dual Contrastive Loss and Attention for GANs. ICCV Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz
2021	J	`jnl`	Dual Contrastive Loss and Attention for GANs. CoRR Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz
2021	A*	`conf`	View Generalization for Single Image Textured 3D Models. CVPR Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro
2021	J	`jnl`	View Generalization for Single Image Textured 3D Models. CoRR Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro
2020	A*	`conf`	Neural FFTs for Universal Texture Image Synthesis. NeurIPS Morteza Mardani, Guilin Liu, Aysegul Dundar, Shiqiu Liu, Andrew Tao, Bryan Catanzaro
2020	A*	`conf`	Panoptic-Based Image Synthesis. CVPR Aysegul Dundar, Karan Sapra, Guilin Liu, Andrew Tao, Bryan Catanzaro
2020	J	`jnl`	Panoptic-based Image Synthesis. CoRR Aysegul Dundar, Karan Sapra, Guilin Liu, Andrew Tao, Bryan Catanzaro
2020	J	`jnl`	Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos. CoRR Aysegul Dundar, Kevin J. Shih, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro
2019	A*	`conf`	Unsupervised Video Interpolation Using Cycle Consistency. ICCV Fitsum A. Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J. Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro
2019	J	`jnl`	Unsupervised Video Interpolation Using Cycle Consistency. CoRR Fitsum A. Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J. Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro
2019	J	`jnl`	Video Interpolation and Prediction with Unsupervised Landmarks. CoRR Kevin J. Shih, Aysegul Dundar, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro
2018	J	`jnl`	Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation. CoRR Aysegul Dundar, Ming-Yu Liu, Ting-Chun Wang, John Zedlewski, Jan Kautz
2017	J	`jnl`	A new look at clustering through the lens of deep convolutional neural networks. CoRR Ali Borji, Aysegul Dundar
2017	J	`jnl`	Context Augmentation for Convolutional Neural Networks. CoRR Aysegul Dundar, Ignacio Garcia-Dorado
2017	J	`jnl`	Embedded Streaming Deep Neural Networks Accelerator With Applications. IEEE Trans. Neural Networks Learn. Syst. Aysegul Dundar, Jonghoon Jin, Berin Martini, Eugenio Culurciello
2016	—	`—`	Learning from minimally labeled data with accelerated convolutional neural networks Aysegul Dundar
2015	J	`jnl`	Convolutional Clustering for Unsupervised Learning. CoRR Aysegul Dundar, Jonghoon Jin, Eugenio Culurciello
2015	—	`conf`	Flattened Convolutional Neural Networks for Feedforward Acceleration. ICLR (Workshop) Jonghoon Jin, Aysegul Dundar, Eugenio Culurciello
2015	J	`jnl`	Robust Convolutional Neural Networks under Adversarial Noise. CoRR Jonghoon Jin, Aysegul Dundar, Eugenio Culurciello
2014	—	`conf`	A 240 G-ops/s Mobile Coprocessor for Deep Neural Networks. CVPR Workshops Vinayak Gokhale, Jonghoon Jin, Aysegul Dundar, Berin Martini, Eugenio Culurciello
2014	—	`conf`	An efficient implementation of deep convolutional neural networks on a mobile coprocessor. MWSCAS Jonghoon Jin, Vinayak Gokhale, Aysegul Dundar, Bharadwaj Krishnamurthy, Berin Martini, Eugenio Culurciello
2014	—	`conf`	Memory access optimized routing scheme for deep networks on a mobile coprocessor. HPEC Aysegul Dundar, Jonghoon Jin, Vinayak Gokhale, Berin Martini, Eugenio Culurciello
2013	J	`jnl`	An Analysis of the Connections Between Layers of Deep Neural Networks. CoRR Eugenio Culurciello, Jonghoon Jin, Aysegul Dundar, Jordan Bates
2013	—	`conf`	Clustering Learning for Robotic Vision ICLR (Workshop Poster) Eugenio Culurciello, Jordan Bates, Aysegul Dundar, José Antonio Pérez-Carrasco, Clément Farabet
2013	Misc	`conf`	Tracking with deep neural networks. CISS Jonghoon Jin, Aysegul Dundar, Jordan Bates, Clément Farabet, Eugenio Culurciello
2013	—	`conf`	Visual Tracking with Similarity Matching Ratio. VISAPP (2) Aysegul Dundar, Jonghoon Jin, Eugenio Culurciello
2012	J	`jnl`	Visual Tracking with Similarity Matching Ratio CoRR Aysegul Dundar, Jonghoon Jin, Eugenio Culurciello