publications

Please visit CATLAB website to access manuscripts, codes and other deliverables of the research papers.

  • Tuna Han Salih Meral, Enis Simsar, Federico Tombari, Pinar Yanardag, CONFORM: Contrast is All You Need For High-Fidelity Text-to-Image Diffusion Models, 2023, Pre-print, Project website: conform-diffusion.github.io

  • Yusuf Dalva, Pinar Yanardag, NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models, 2023, Pre-print, Project website: noiseclr.github.io

  • Ozgur Kara, Bariscan Kurtkaya, Hidir Yesiltepe James M. Rehg, Pinar Yanardag, RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models, Pre-print, 2023. Project website: rave-video.github.io

  • Enis Simsar, Umut Kocasari, Ezgi Gulperi Er, and Pinar Yanardag, Fantastic Style Channels and Where to Find Them: A Submodular Framework for Discovering Diverse Directions in GANs, Winter Conference on Applications of Computer Vision (WACV), 2023

  • Zehranaz Canfes, Furkan Atasoy, Alara Dirik*, and Pinar Yanardag, Text and Image Guided 3D Avatar Generation and Manipulation, Winter Conference on Applications of Computer Vision (WACV), 2023 [SPOTLIGHT]

  • Meliksah Turker, Alara Dirik, and Pinar Yanardag, MIDISpace: Finding Linear Directions in Latent Space for Music Generation, ACM Creativity & Cognition (ACM CC), 2022 [Honorable Mention Award]

  • Berkay Doner, Elif Sema Balcioglu, Merve Rabia Barin*, Umut Kocasari, Mert Tiftikci, and Pinar Yanardag, PaintInStyle: One-Shot Discovery of Interpretable Directions by Painting, Conference on Computer Vision and Pattern Recognition CVFAD Workshop, 2022

  • Umut Kocasari, Kerem Zaman, Mert Tiftikci, Enis Simsar, and Pinar Yanardag, Rank in Style: A Ranking-based Approach to Find Interpretable Directions, Conference on Computer Vision and Pattern Recognition CVFAD Workshop, 2022

  • Umut Kocasari, Alara Dirik, Mert Tiftikci, Pinar Yanardag, StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation, Winter Conference on Applications of Computer Vision (WACV), 2022

  • Oguz Kaan Yuksel, Enis Simsar, Ezgi Gulperi Er, Pinar Yanardag, LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions, International Conference on Computer Vision (ICCV), Canada, 2021

  • Alara Dirik, Hilal Donmez, and Pinar Yanardag, Controlled Cue Generation for Play Scripts, Controllable Generative Modeling in Language and Vision Workshop at NeurIPS, 2021 [BEST PAPER AWARD]

  • Dilara Gokay, Enis Simsar, Efehan Atici, Atif Emre Yilmaz, Alper Ahmetoglu, Pinar Yanardag, Graph2Pix: A Graph-Based Image to Image Translation Framework, Advances in Image Manipulation Workshop at ICCV, Canada, 2021

  • Umut Kocasari, Alperen Bag, Efehan Atici, Pinar Yanardag, Exploring Latent Dimensions of Crowd-sourced Creativity, Machine Learning for Creativity and Design Workshop at NeurIPS, 2021

  • Pinar Yanardag, Manuel Cebrian, Iyad Rahwan, Shelley: A Crowd-sourced Collaborative Horror Writer, ACM Creativity & Cognition, 2021

  • Pinar Yanardag, Nick Obradovich, Manuel Cebrian, Iyad Rahwan, Nightmare Machine: A Large-scale Study to Induce Fear using Artificial Intelligence, International Conference on Computational Creativity (ICCC), 2021

  • Shihao Ji, Hyokun Yun, Pinar Yanardag, Shin Matsushima, SVN Vishwanathan, WordRank: Learning Word Embeddings via Robust Ranking, The Conference on Empirical Methods on Natural Language Processing (EMNLP), Austin, 2016

  • Pinar Yanardag, SVN Vishwanathan, A Structural Smoothing Framework For Robust Graph Comparison, 29th Conference on Neural Information Processing Systems (NeurIPS), Canada, 2015

  • Pinar Yanardag, SVN Vishwanathan, Deep Graph Kernels, 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Australia, 2015

  • Pinar Yanardag, SVN Vishwanathan, A Submodular Framework for Graph Comparison, Networks in the Social and Information Sciences Workshop at NeurIPS, Canada, 2015

  • Mariheida Cordova, Pinar Yanardag (Joint first-authors), Turning Down the Noise in Classrooms, Web Science and Technology for Education Workshop at WWW, Canada, 2016

  • Pinar Yanardag, Rean Griffith, Anne Holler, Xiaoyun Zhu, Vertical Scaling of Network I/O Reservations in Cloud Datacenters, RADIO, USA, 2014

  • Pinar Yanardag, Rean Griffith, Anne Holler, K. Shankari, Xiaoyun Zhu, Ravi Soundararajan, Adarsh Jagadeeshwaran, Pradeep Padala, Crowdsourced Resource Sizing of Virtual Appliances, 7th IEEE International Conference on Cloud Computing (IEEE CLOUD), USA, 2014

  • Pinar Yanardag, SVN Vishwanathan, Understanding and Analyzing Tweets using Submodularity, 22nd International World Wide Web Conference (WWW) Companion, Brazil, 2013

patents

  • Pinar Yanardag, Rean Griffith, Anne Holler, K. Shankari, Xiaoyun Zhu, Ravi Soundararajan, Adarsh Jagadeeshwaran, Pradeep Padala, Crowd-sourced Operational Metric Analysis of Virtual Appliances, US Patent US20150379167A1, 2015.