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20202023
most citedMultimodal Adaptive Fusion of Face and Gait Features using Keyless attention based Deep Neural Networks for Human Identification

2 citations · 2 across the 4 of their papers we have counts for

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cs.CV2023★ 2 cited

Multimodal Adaptive Fusion of Face and Gait Features using Keyless attention based Deep Neural Networks for Human Identification

Ashwin Prakash, Thejaswin S, Athira Nambiar +1

Biometrics plays a significant role in vision-based surveillance applications. Soft biometrics such as gait is widely used with face in surveillance tasks like person recognition a…

cs.CV2021

Co-segmentation Inspired Attention Module for Video-based Computer Vision Tasks

Arulkumar Subramaniam, Jayesh Vaidya, Muhammed Abdul Majeed Ameen +2

Video-based computer vision tasks can benefit from estimation of the salient regions and interactions between those regions. Traditionally, this has been done by identifying the ob…

cs.CV2021

Face Age Progression With Attribute Manipulation

Sinzith Tatikonda, Athira Nambiar, Anurag Mittal

Face is one of the predominant means of person recognition. In the process of ageing, human face is prone to many factors such as time, attributes, weather and other subject specif…

cs.CV2020

Domain Adaptive Knowledge Distillation for Driving Scene Semantic Segmentation

Divya Kothandaraman, Athira Nambiar, Anurag Mittal

Practical autonomous driving systems face two crucial challenges: memory constraints and domain gap issues. In this paper, we present a novel approach to learn domain adaptive know…

cs.CV2020

Linguistically-aware Attention for Reducing the Semantic-Gap in Vision-Language Tasks

Gouthaman KV, Athira Nambiar, Kancheti Sai Srinivas +1

Attention models are widely used in Vision-language (V-L) tasks to perform the visual-textual correlation. Humans perform such a correlation with a strong linguistic understanding…