Ismail B. Tutar

Orcid: 0009-0004-8369-4825

According to our database1, Ismail B. Tutar authored at least 13 papers between 2004 and 2024.

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Bibliography

2024
Enhancing Multimodal Large Language Models with Multi-instance Visual Prompt Generator for Visual Representation Enrichment.
CoRR, 2024

Diffuse to Choose: Enriching Image Conditioned Inpainting in Latent Diffusion Models for Virtual Try-All.
CoRR, 2024

2023
Catalog Phrase Grounding (CPG): Grounding of Product Textual Attributes in Product Images for e-commerce Vision-Language Applications.
CoRR, 2023

DreamPaint: Few-Shot Inpainting of E-Commerce Items for Virtual Try-On without 3D Modeling.
CoRR, 2023

Deep Metric Learning to Hierarchically Rank - An Application in Product Retrieval.
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.
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.
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.
CoRR, 2022

2021
MLIM: Vision-and-Language Model Pre-training with Masked Language and Image Modeling.
CoRR, 2021

2007
Seed-based ultrasound and fluoroscopy registration using iterative optimal assignment for intraoperative prostate brachytherapy dosimetry.
Proceedings of the Medical Imaging 2007: Visualization and Image-Guided Procedures, 2007

2006
Semiautomatic 3-D Prostate Segmentation from TRUS Images Using Spherical Harmonics.
IEEE Trans. Medical Imaging, 2006

2005
Prostate ultrasound image segmentation using level set-based region flow with shape guidance.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

2004
3D prostate shape modeling from sparsely acquired 2D images using deformable models.
Proceedings of the Medical Imaging 2004: Visualization, 2004


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