Ismail B. Tutar

According to our database, Ismail B. Tutar authored at least 12 papers between 2004 and 2024.

Collaborative distances:

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

2024

Diffuse to Choose: Enriching Image Conditioned Inpainting in Latent Diffusion Models for Virtual Try-All.

Mehmet Saygin Seyfioglu, Karim Bouyarmane, Suren Kumar, Amir Tavanaei, Ismail B. Tutar

CoRR, 2024

2023

Catalog Phrase Grounding (CPG): Grounding of Product Textual Attributes in Product Images for e-commerce Vision-Language Applications.

Wenyi Wu, Karim Bouyarmane, Ismail B. Tutar

CoRR, 2023

DreamPaint: Few-Shot Inpainting of E-Commerce Items for Virtual Try-On without 3D Modeling.

Mehmet Saygin Seyfioglu, Karim Bouyarmane, Suren Kumar, Amir Tavanaei, Ismail B. Tutar

CoRR, 2023

Deep Metric Learning to Hierarchically Rank - An Application in Product Retrieval.

Kee Kiat Koo, Ashutosh Joshi, Nishaanth Reddy, Karim Bouyarmane, Ismail B. Tutar, Vaclav Petricek, Changhe Yuan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Unsupervised Multi-Modal Representation Learning for High Quality Retrieval of Similar Products at E-commerce Scale.

Kushal Kumar, Tarik Arici, Tal Neiman, Jinyu Yang, Shioulin Sam, Yi Xu, Hakan Ferhatosmanoglu, Ismail B. Tutar

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Enhancing Catalog Relationship Problems with Heterogeneous Graphs and Graph Neural Networks Distillation.

Boxin Du, Robert A. Barton, Grant Galloway, Junzhou Huang, Shioulin Sam, Ismail B. Tutar, Changhe Yuan

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Solving Price Per Unit Problem Around the World: Formulating Fact Extraction as Question Answering.

Tarik Arici, Kushal Kumar, Hayreddin Çeker, Anoop S. V. K. K. Saladi, Ismail B. Tutar

CoRR, 2022

2021

MLIM: Vision-and-Language Model Pre-training with Masked Language and Image Modeling.

Tarik Arici, Mehmet Saygin Seyfioglu, Tal Neiman, Yi Xu, Son Tran, Trishul Chilimbi, Belinda Zeng, Ismail B. Tutar

CoRR, 2021

2007

Seed-based ultrasound and fluoroscopy registration using iterative optimal assignment for intraoperative prostate brachytherapy dosimetry.

Ismail B. Tutar, Sreeram Narayanan, Hila Lenz, Rizwan Nurani, Peter F. Orio, Paul S. Cho, Kent Wallner, Yongmin Kim

Proceedings of the Medical Imaging 2007: Visualization and Image-Guided Procedures, 2007

2006

Semiautomatic 3-D Prostate Segmentation from TRUS Images Using Spherical Harmonics.

Ismail B. Tutar, Sayan D. Pathak, Lixin Gong, Paul S. Cho, Kent Wallner, Yongmin Kim

IEEE Trans. Medical Imaging, 2006

2005

Prostate ultrasound image segmentation using level set-based region flow with shape guidance.

Lixin Gong, Lydia Ng, Sayan Dev Pathak, Ismail B. Tutar, Paul S. Cho, David R. Haynor, Yongmin Kim

Proceedings of the Medical Imaging 2005: Image Processing, 2005

2004

3D prostate shape modeling from sparsely acquired 2D images using deformable models.

Ismail B. Tutar, Sayan Dev Pathak, Yongmin Kim

Proceedings of the Medical Imaging 2004: Visualization, 2004