Elad Hirsch

According to our database1, Elad Hirsch authored at least 14 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
TASTE: A Designer-Annotated Multi-Dimensional Preference Dataset for AI-Generated Graphic Design.
CoRR, May, 2026

Evaluating Design Video Generation: Metrics for Compositional Fidelity.
CoRR, May, 2026

Structural Evaluation Metrics for SVG Generation via Leave-One-Out Analysis.
CoRR, April, 2026

Graphic-Design-Bench: A Comprehensive Benchmark for Evaluating AI on Graphic Design Tasks.
CoRR, April, 2026

LICA: Layered Image Composition Annotations for Graphic Design Research.
CoRR, March, 2026

2024
Asymmetric Image Retrieval with Cross Model Compatible Ensembles.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

CLID: Controlled-Length Image Descriptions with Limited Data.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Image-aware Evaluation of Generated Medical Reports.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

MedCycle: Unpaired Medical Report Generation via Cycle-Consistency.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

MedRAT: Unpaired Medical Report Generation via Auxiliary Tasks.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Asymmetric Face Recognition with Cross Model Compatible Ensembles.
CoRR, 2023

LIMITR: Leveraging Local Information for Medical Image-Text Representation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2020
A Statistical Story of Visual Illusions.
CoRR, 2020

Color Visual Illusions: A Statistics-based Computational Model.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020


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