Pinar Yanardag

According to our database, Pinar Yanardag authored at least 27 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CLoRA: A Contrastive Approach to Compose Multiple LoRA Models.

Tuna Han Salih Meral, Enis Simsar, Federico Tombari, Pinar Yanardag

CoRR, 2024

MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models.

Hidir Yesiltepe, Kiymet Akdemir, Pinar Yanardag

CoRR, 2024

GANTASTIC: GAN-based Transfer of Interpretable Directions for Disentangled Image Editing in Text-to-Image Diffusion Models.

Yusuf Dalva, Hidir Yesiltepe, Pinar Yanardag

CoRR, 2024

2023

CONFORM: Contrast is All You Need For High-Fidelity Text-to-Image Diffusion Models.

Tuna Han Salih Meral, Enis Simsar, Federico Tombari, Pinar Yanardag

CoRR, 2023

NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models.

Yusuf Dalva, Pinar Yanardag

CoRR, 2023

RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models.

Ozgur Kara, Bariscan Kurtkaya, Hidir Yesiltepe, James M. Rehg, Pinar Yanardag

CoRR, 2023

Fantastic Style Channels and Where to Find Them: A Submodular Framework for Discovering Diverse Directions in GANs.

Enis Simsar, Umut Kocasari, Ezgi Gülperi Er, Pinar Yanardag

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Text and Image Guided 3D Avatar Generation and Manipulation.

Zehranaz Canfes, M. Furkan Atasoy, Alara Dirik, Pinar Yanardag

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

3D-LatentMapper: View Agnostic Single-View Reconstruction of 3D Shapes.

Alara Dirik, Pinar Yanardag

CoRR, 2022

Discovering Multiple and Diverse Directions for Cognitive Image Properties.

Umut Kocasari, Alperen Bag, Oguz Kaan Yüksel, Pinar Yanardag

CoRR, 2022

StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation.

Umut Kocasari, Alara Dirik, Mert Tiftikci, Pinar Yanardag

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations.

Cemre Karakas, Alara Dirik, Eylul Yalcinkaya, Pinar Yanardag

Proceedings of the Computer Vision - ECCV 2022, 2022

Rank in Style: A Ranking-based Approach to Find Interpretable Directions.

Umut Kocasari, Kerem Zaman, Mert Tiftikci, Enis Simsar, Pinar Yanardag

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

PaintInStyle: One-Shot Discovery of Interpretable Directions by Painting.

Berkay Doner, Elif Sema Balcioglu, Merve Rabia Barin, Umut Kocasari, Mert Tiftikci, Pinar Yanardag

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

MIDISpace: Finding Linear Directions in Latent Space for Music Generation.

Meliksah Turker, Alara Dirik, Pinar Yanardag

Proceedings of the C&C '22: Creativity and Cognition, Venice, Italy, June 20 - 23, 2022, 2022

2021

Exploring Latent Dimensions of Crowd-sourced Creativity.

Umut Kocasari, Alperen Bag, Efehan Atici, Pinar Yanardag

CoRR, 2021

Controlled Cue Generation for Play Scripts.

Alara Dirik, Hilal Dönmez, Pinar Yanardag

CoRR, 2021

GAN-CNMP: An Interactive Generative Drawing Tool.

S. Ece Ada, M. Yunus Seker, Pinar Yanardag

CoRR, 2021

Graph2Pix: A Graph-Based Image to Image Translation Framework.

Dilara Gokay, Enis Simsar, Efehan Atici, Alper Ahmetoglu, Atif Emre Yüksel, Pinar Yanardag

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions.

Oguz Kaan Yüksel, Enis Simsar, Ezgi Gülperi Er, Pinar Yanardag

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Nightmare Machine: A Large-Scale Study to Induce Fear Using Artificial Intelligence.

Pinar Yanardag, Nick Obradovich, Manuel Cebrián, Iyad Rahwan

Proceedings of the Twelfth International Conference on Computational Creativity, 2021

Shelley: A Crowd-sourced Collaborative Horror Writer.

Pinar Yanardag, Manuel Cebrián, Iyad Rahwan

Proceedings of the 13th ACM SIGCHI Conference on Creativity and Cognition, 2021

2016

Turning Down the Noise in Classrooms.

Mariheida Cordova-Sanchez, Pinar Yanardag

Proceedings of the 25th International Conference on World Wide Web, 2016

WordRank: Learning Word Embeddings via Robust Ranking.

Shihao Ji, Hyokun Yun, Pinar Yanardag, Shin Matsushima, S. V. N. Vishwanathan

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

A Structural Smoothing Framework For Robust Graph Comparison.

Pinar Yanardag, S. V. N. Vishwanathan

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Deep Graph Kernels.

Pinar Yanardag, S. V. N. Vishwanathan

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

The Structurally Smoothed Graphlet Kernel.

Pinar Yanardag, S. V. N. Vishwanathan

CoRR, 2014