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20202024
most citedEye-focused Detection of Bell's Palsy in Videos

12 citations · 22 across the 5 of their papers we have counts for

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cs.CV20224 cited

Comprehensive Saliency Fusion for Object Co-segmentation

Harshit Singh Chhabra, Koteswar Rao Jerripothula

Object co-segmentation has drawn significant attention in recent years, thanks to its clarity on the expected foreground, the shared object in a group of images. Saliency fusion ha…

cs.CV20225 cited

ASOC: Adaptive Self-aware Object Co-localization

Koteswar Rao Jerripothula, Prerana Mukherjee

The primary goal of this paper is to localize objects in a group of semantically similar images jointly, also known as the object co-localization problem. Most related existing wor…

cs.CV202212 cited

Eye-focused Detection of Bell's Palsy in Videos

Sharik Ali Ansari, Koteswar Rao Jerripothula, Pragya Nagpal +1

In this paper, we present how Bell's Palsy, a neurological disorder, can be detected just from a subject's eyes in a video. We notice that Bell's Palsy patients often struggle to b…

cs.CV2020

Detection of Gait Abnormalities caused by Neurological Disorders

Daksh Goyal, Koteswar Rao Jerripothula, Ankush Mittal

In this paper, we leverage gait to potentially detect some of the important neurological disorders, namely Parkinson's disease, Diplegia, Hemiplegia, and Huntington's Chorea. Perso…

cs.CV20201 cited

Image Co-skeletonization via Co-segmentation

Koteswar Rao Jerripothula, Jianfei Cai, Jiangbo Lu +1

Recent advances in the joint processing of images have certainly shown its advantages over individual processing. Different from the existing works geared towards co-segmentation o…