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Navid Rajabi
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2020 – today
- 2024
- [c4]Yimeng Li, Navid Rajabi, Sulabh Shrestha, Md. Alimoor Reza, Jana Kosecká:
Labeling Indoor Scenes with Fusion of Out-of-the-Box Perception Models. WACV (Workshops) 2024: 570-579 - [i5]Navid Rajabi, Jana Kosecka:
Q-GroundCAM: Quantifying Grounding in Vision Language Models via GradCAM. CoRR abs/2404.19128 (2024) - [i4]Navid Rajabi, Jana Kosecka:
GSR-BENCH: A Benchmark for Grounded Spatial Reasoning Evaluation via Multimodal LLMs. CoRR abs/2406.13246 (2024) - 2023
- [c3]Xuan Zhang, Navid Rajabi, Kevin Duh, Philipp Koehn:
Machine Translation with Large Language Models: Prompting, Few-shot Learning, and Fine-tuning with QLoRA. WMT 2023: 468-481 - [i3]Navid Rajabi, Jana Kosecka:
Towards Grounded Visual Spatial Reasoning in Multi-Modal Vision Language Models. CoRR abs/2308.09778 (2023) - [i2]Yimeng Li, Navid Rajabi, Sulabh Shrestha, Md. Alimoor Reza, Jana Kosecka:
Labeling Indoor Scenes with Fusion of Out-of-the-Box Perception Models. CoRR abs/2311.10883 (2023) - 2021
- [c2]Arnab Debnath, Navid Rajabi, Fardina Fathmiul Alam, Antonios Anastasopoulos
:
Towards more equitable question answering systems: How much more data do you need? ACL/IJCNLP (2) 2021: 621-629 - [i1]Arnab Debnath, Navid Rajabi, Fardina Fathmiul Alam, Antonios Anastasopoulos:
Towards More Equitable Question Answering Systems: How Much More Data Do You Need? CoRR abs/2105.14115 (2021)
2010 – 2019
- 2019
- [c1]Jianwei Lai, Navid Rajabi, Elahe Javadi:
A Shortcut for Caret Positioning on Touch-Screen Phones. MobileHCI 2019: 35:1-35:6
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