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Kanika Kalra

dblp:186/8002 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Vision and language · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › Vision and language › multimodal understanding
advertisement understanding		 0.412020
Understanding Advertisements with BERT · ACL 2020
Computer vision › Vision and language
multimodal understanding		 0.112020
Understanding Advertisements with BERT · ACL 2020

Methods — techniques the papers use, named apart from their topics

fine-tuning · 0.4BERT · 0.4
YearPublicationVenuePosition
2020 Understanding Advertisements with BERT
abstract
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 image holds a vital cue for this task.Motivated by this, we fine-tune the base BERT model for a sentencepair classification task.Despite utilizing the scene-text as the only source of visual information, we could achieve a hit-or-miss accuracy of 84.95% on the challenge test data.To enable BERT to process other visual information, we append image captions to the scene-text.This achieves an accuracy of 89.69%, which is an improvement of 4.7%.This is the best reported result for this task.
Kanika Kalra, Bhargav Kurma, Silpa Vadakkeeveetil Sreelatha, Manasi Patwardhan 0001, Shirish S. Karande
 ACL1
2016 On Employing a Highly Mismatched Crowd for Speech Transcription
Purushotam G. Radadia, Kanika Kalra, Shirish S. Karande, Sachin Lodha
 INTERSPEECH3