Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Shirish Subhash Karande"'
Autor:
Harini S, Shirish Subhash Karande, Jayita Dutta, Parijat Deshpande, Beena Rai, Manasi Samarth Patwardhan
Publikováno v:
Proceedings of the 3rd Workshop on AIxFood.
Checking the quality of agricultural produce at every step of its supply chain is the need of the hour to reduce food wastage. Manual checking of food quality at every step can be inconsistent and time consuming. Automation of food quality detection,
Autor:
Manasi S. Patwardhan, Ankita Sontakke, Shirish Subhash Karande, Bhagyashree Gaikwad, Niranjan Pedanekar
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).
Publikováno v:
DeeLIO@NAACL-HLT
Investigating brand perception is fundamental to marketing strategies. In this regard, brand image, defined by a set of attributes (Aaker, 1997), is recognized as a key element in indicating how a brand is perceived by various stakeholders such as co
Publikováno v:
CVPR Workshops
Understanding the sentiments evoked by advertisements is crucial in serving them appropriately to consumers. Advertisements often use images to evoke sentiments. An image can convey multiple sentiments of different nature. Automatically predicting th
Autor:
Abhishek Puri, Beena Rai, Shirish Subhash Karande, Rinu Chacko, Deepak Jain, Manasi S. Patwardhan
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
Machine learning and data analytics are being increasingly used for quantitative structure property relation (QSPR) applications in the chemical domain where the traditional Edisonian approach towards knowledge-discovery have not been fruitful. The p
Autor:
Bhargav Kurma, Manasi S. Patwardhan, Silpa Vadakkeeveetil Sreelatha, Kanika Kalra, Shirish Subhash Karande
Publikováno v:
ACL
We consider a task based on CVPR 2018 challenge dataset on advertisement (Ad) understanding. The task involves detecting the viewer’s interpretation of an Ad image captured as text. Recent results have shown that the embedded scene-text in the imag
Autor:
Manasi S. Patwardhan, Puneet Agarwal, Shirish Subhash Karande, Gautam Shroff, Lovekesh Vig, Surabhi Kumari, Mayur Patidar
Publikováno v:
DeepLo@EMNLP-IJCNLP
Recent research on cross-lingual transfer show state-of-the-art results on benchmark datasets using pre-trained language representation models (PLRM) like BERT. These results are achieved with the traditional training approaches, such as Zero-shot wi
Publikováno v:
ASE
Compliant software is a critical need of all modern businesses. Disambiguating regulations to derive requirements is therefore an important software engineering activity. Regulations however are ridden with ambiguities that make their comprehension a
Publikováno v:
ICMLA
Image based vehicle insurance processing is an important area with large scope for automation. In this paper we consider the problem of car damage classification, where some of the categories can be fine-granular. We explore deep learning based techn
Autor:
Anand Sriraman, Ramya Hebbalaguppe, Monika Sharma, Oindrila Saha, Shirish Subhash Karande, Lovekesh Vig
Publikováno v:
CVPR Workshops
Metaphase chromosome analysis is one of the primary techniques utilized in cytogenetics. Observations of chromosomal segments or translocations during metaphase can indicate structural changes in the cell genome, and is often used for diagnostic purp