Tracking with deep neural networks. - Jonghoon Jin; Aysegul Dundar; Jordan Bates; Clément Farabet; Eugenio Culurciello (CISS, 2013)

Visual Tracking with Similarity Matching Ratio. - Aysegul Dundar; Jonghoon Jin; Eugenio Culurciello (VISAPP (2), 2013)

An Analysis of the Connections Between Layers of Deep Neural Networks. - Eugenio Culurciello; Jonghoon Jin; Aysegul Dundar; Jordan Bates (CoRR, 2013)

Clustering Learning for Robotic Vision - Eugenio Culurciello; Jordan Bates; Aysegul Dundar; José Antonio Pérez-Carrasco; Clément Farabet (ICLR (Workshop Poster), 2013)

A 240 G-ops/s Mobile Coprocessor for Deep Neural Networks. - Vinayak Gokhale; Jonghoon Jin; Aysegul Dundar; Berin Martini; Eugenio Culurciello (CVPR Workshops, 2014)

Memory access optimized routing scheme for deep networks on a mobile coprocessor. - Aysegul Dundar; Jonghoon Jin; Vinayak Gokhale; Berin Martini; Eugenio Culurciello (HPEC, 2014)

An efficient implementation of deep convolutional neural networks on a mobile coprocessor. - Jonghoon Jin; Vinayak Gokhale; Aysegul Dundar; Bharadwaj Krishnamurthy; Berin Martini; Eugenio Culurciello (MWSCAS, 2014)

Convolutional Clustering for Unsupervised Learning. - Aysegul Dundar; Jonghoon Jin; Eugenio Culurciello (CoRR, 2015)

Flattened Convolutional Neural Networks for Feedforward Acceleration. - Jonghoon Jin; Aysegul Dundar; Eugenio Culurciello (ICLR (Workshop), 2015)

Robust Convolutional Neural Networks under Adversarial Noise. - Jonghoon Jin; Aysegul Dundar; Eugenio Culurciello (CoRR, 2015)

Learning from minimally labeled data with accelerated convolutional neural networks - Aysegul Dundar (2016)

A new look at clustering through the lens of deep convolutional neural networks. - Ali Borji; Aysegul Dundar (CoRR, 2017)

Context Augmentation for Convolutional Neural Networks. - Aysegul Dundar; Ignacio Garcia-Dorado (CoRR, 2017)

Embedded Streaming Deep Neural Networks Accelerator With Applications. - Aysegul Dundar; Jonghoon Jin; Berin Martini; Eugenio Culurciello (IEEE Trans. Neural Networks Learn. Syst., 2017)

Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation. - Aysegul Dundar; Ming-Yu Liu 001; Ting-Chun Wang; John Zedlewski; Jan Kautz (CoRR, 2018)

Unsupervised Video Interpolation Using Cycle Consistency. - Fitsum A. Reda; Deqing Sun; Aysegul Dundar; Mohammad Shoeybi; Guilin Liu; Kevin J. Shih; Andrew Tao; Jan Kautz; Bryan Catanzaro (ICCV, 2019)

Video Interpolation and Prediction with Unsupervised Landmarks. - Kevin J. Shih; Aysegul Dundar; Animesh Garg; Robert Pottorf; Andrew Tao; Bryan Catanzaro (CoRR, 2019)

Panoptic-Based Image Synthesis. - Aysegul Dundar; Karan Sapra; Guilin Liu; Andrew Tao; Bryan Catanzaro (CVPR, 2020)

Neural FFTs for Universal Texture Image Synthesis. - Morteza Mardani; Guilin Liu; Aysegul Dundar; Shiqiu Liu; Andrew Tao; Bryan Catanzaro (NeurIPS, 2020)

View Generalization for Single Image Textured 3D Models. - Anand Bhattad; Aysegul Dundar; Guilin Liu; Andrew Tao; Bryan Catanzaro (CVPR, 2021)

Dual Contrastive Loss and Attention for GANs. - Ning Yu 006; Guilin Liu; Aysegul Dundar; Andrew Tao; Bryan Catanzaro; Larry Davis 001; Mario Fritz (ICCV, 2021)

Benchmarking the Robustness of Instance Segmentation Models. - Said Fahri Altindis; Yusuf Dalva; Aysegul Dundar (CoRR, 2021)

Domain Stylization: A Fast Covariance Matching Framework Towards Domain Adaptation. - Aysegul Dundar; Ming-Yu Liu 001; Zhiding Yu; Ting-Chun Wang; John Zedlewski; Jan Kautz (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

VecGAN: Image-to-Image Translation with Interpretable Latent Directions. - Yusuf Dalva; Said Fahri Altindis; Aysegul Dundar (ECCV (16), 2022)

Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos. - Aysegul Dundar; Kevin J. Shih; Animesh Garg; Robert Pottorf; Andrew Tao; Bryan Catanzaro (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

StyleRes: Transforming the Residuals for Real Image Editing with StyleGAN. - Hamza Pehlivan; Yusuf Dalva; Aysegul Dundar (CVPR, 2023)

Diverse Inpainting and Editing with GAN Inversion. - Ahmet Burak Yildirim; Hamza Pehlivan; Bahri Batuhan Bilecen; Aysegul Dundar (ICCV, 2023)

Face Attribute Editing with Disentangled Latent Vectors. - Yusuf Dalva; Hamza Pehlivan; Cansu Moran; Öykü Irmak Hatipoglu; Aysegül Dündar (CoRR, 2023)

Inst-Inpaint: Instructing to Remove Objects with Diffusion Models. - Ahmet Burak Yildirim; Vedat Baday; Erkut Erdem; Aykut Erdem; Aysegul Dundar (CoRR, 2023)

Diverse Semantic Image Editing with Style Codes. - Hakan Sivuk; Aysegul Dundar (CoRR, 2023)

Partial Convolution for Padding, Inpainting, and Image Synthesis. - Guilin Liu; Aysegul Dundar; Kevin J. Shih; Ting-Chun Wang; Fitsum A. Reda; Karan Sapra; Zhiding Yu; Xiaodong Yang 001; Andrew Tao; Bryan Catanzaro (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Image-to-Image Translation With Disentangled Latent Vectors for Face Editing. - Yusuf Dalva; Hamza Pehlivan; Öykü Irmak Hatipoglu; Cansu Moran; Aysegul Dundar (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Fine Detailed Texture Learning for 3D Meshes With Generative Models. - Aysegul Dundar; Jun Gao; Andrew Tao; Bryan Catanzaro (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Understanding How Orthogonality of Parameters Improves Quantization of Neural Networks. - Sukru Burc Eryilmaz; Aysegul Dundar (IEEE Trans. Neural Networks Learn. Syst., 2023)

Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images. - Bahri Batuhan Bilecen; Ahmet Berke Gökmen; Aysegul Dundar (NeurIPS, 2024)

CLIPAway: Harmonizing focused embeddings for removing objects via diffusion models. - Yigit Ekin; Ahmet Burak Yildirim; Erdem Eren Caglar; Aykut Erdem; Erkut Erdem; Aysegul Dundar (NeurIPS, 2024)

Reference-Based 3D-Aware Image Editing with Triplane. - Bahri Batuhan Bilecen; Yigit Yalin; Ning Yu 006; Aysegul Dundar (CoRR, 2024)

Identity Preserving 3D Head Stylization with Multiview Score Distillation. - Bahri Batuhan Bilecen; Ahmet Berke Gökmen; Furkan Guzelant; Aysegul Dundar (CoRR, 2024)

Progressive Learning of 3D Reconstruction Network From 2D GAN Data. - Aysegul Dundar; Jun Gao; Andrew Tao; Bryan Catanzaro (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Learning Portrait Drawing with Unsupervised Parts. - Burak Tasdemir; Mustafa Goktan Gudukbay; Dogac Eldenk; Adil Meric; Aysegul Dundar (Int. J. Comput. Vis., 2024)

Refining 3D Human Texture Estimation From a Single Image. - Said Fahri Altindis; Adil Meric; Yusuf Dalva; Ugur Güdükbay; Aysegul Dundar (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Benchmarking the Robustness of Instance Segmentation Models. - Yusuf Dalva; Hamza Pehlivan; Said Fahri Altindis; Aysegul Dundar (IEEE Trans. Neural Networks Learn. Syst., 2024)

Reference-Based 3D-Aware Image Editing with Triplanes. - Bahri Batuhan Bilecen; Yigit Yalin; Ning Yu 006; Aysegul Dundar (CVPR, 2025)

MD-ProjTex: Texturing 3D Shapes with Multi-Diffusion Projection. - Ahmet Burak Yildirim; Mustafa Utku Aydogdu; Duygu Ceylan; Aysegul Dundar (CoRR, 2025)

3D Stylization via Large Reconstruction Model. - Ipek Oztas; Duygu Ceylan; Aysegul Dundar (CoRR, 2025)

RoPECraft: Training-Free Motion Transfer with Trajectory-Guided RoPE Optimization on Diffusion Transformers. - Ahmet Berke Gokmen; Yigit Ekin; Bahri Batuhan Bilecen; Aysegul Dundar (CoRR, 2025)

Warping the Residuals for Image Editing with StyleGAN. - Ahmet Burak Yildirim; Hamza Pehlivan; Aysegul Dundar (Int. J. Comput. Vis., 2025)

Trident: Detecting Face Forgeries with Adversarial Triplet Learning. - Mustafa Hakan Kara; Aysegul Dundar; Ugur Güdükbay (CoRR, 2025)