Jayakrishnan Unnikrishnan — accepted AI-conference papers

2024

Open Vocabulary Multi-Label Video Classification

Rohit Gupta*, Mamshad Nayeem Rizve, Jayakrishnan Unnikrishnan, Ashish Tawari, Son Tran, Mubarak Shah +2

ECCV 2024poster

"Pre-trained vision-language models (VLMs) have enabled significant progress in open vocabulary computer vision tasks such as image classification, object detection and image segmentation. Some recent works have focused on extending VLMs to open vocabulary single label action classification in video…

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2024

VidLA: Video-Language Alignment at Scale

Mamshad Nayeem Rizve, Fan Fei, Jayakrishnan Unnikrishnan, Son Tran, Benjamin Z. Yao, Belinda Zeng +2

CVPR 2024poster

In this paper we propose VidLA an approach for video-language alignment at scale. There are two major limitations of previous video-language alignment approaches. First they do not capture both short-range and long-range temporal dependencies and typically employ complex hierarchical deep network ar…

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2019

Resolving Elevation Ambiguity in 1-D Radar Array Measurements using Deep Learning

Jayakrishnan Unnikrishnan, Urs Niesen

IROS 2019poster

Motivated by requirements for future automotive radar, we study the problem of resolving target elevation from measurements by a one-dimensional horizontal radar antenna array. This is a challenging and ill-posed problem, since such measurements contain only indirect and highly ambiguous elevation c…

Cited by 6 Source ↗Scholar ↗