Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Rajabi, Navid"'
Autor:
Rajabi, Navid, Kosecka, Jana
The ability to understand and reason about spatial relationships between objects in images is an important component of visual reasoning. This skill rests on the ability to recognize and localize objects of interest and determine their spatial relati
Externí odkaz:
http://arxiv.org/abs/2406.13246
Autor:
Rajabi, Navid, Kosecka, Jana
Vision and Language Models (VLMs) continue to demonstrate remarkable zero-shot (ZS) performance across various tasks. However, many probing studies have revealed that even the best-performing VLMs struggle to capture aspects of compositional scene un
Externí odkaz:
http://arxiv.org/abs/2404.19128
The image annotation stage is a critical and often the most time-consuming part required for training and evaluating object detection and semantic segmentation models. Deployment of the existing models in novel environments often requires detecting n
Externí odkaz:
http://arxiv.org/abs/2311.10883
Autor:
Rajabi, Navid, Kosecka, Jana
Large vision-and-language models (VLMs) trained to match images with text on large-scale datasets of image-text pairs have shown impressive generalization ability on several vision and language tasks. Several recent works, however, showed that these
Externí odkaz:
http://arxiv.org/abs/2308.09778
Question answering (QA) in English has been widely explored, but multilingual datasets are relatively new, with several methods attempting to bridge the gap between high- and low-resourced languages using data augmentation through translation and cro
Externí odkaz:
http://arxiv.org/abs/2105.14115
Autor:
Rajabi, Navid, Hakim, Amin
Publikováno v:
2015 2nd International Conference on Knowledge-Based Engineering & Innovation (KBEI); 2015, p243-247, 5p
Autor:
Rajabi, Navid, Rajabi, Omid
Publikováno v:
2015 2nd International Conference on Knowledge-Based Engineering & Innovation (KBEI); 2015, p238-242, 5p