activity
20142023
most citedContinuous Action Recognition Based on Sequence Alignment

43 citations · 47 across the 4 of their papers we have counts for

collaborators

5 papers

eess.AS2023★ 1 cited

DISPLACE Challenge: DIarization of SPeaker and LAnguage in Conversational Environments

Shikha Baghel, Shreyas Ramoji, Sidharth +8

In multilingual societies, social conversations often involve code-mixed speech. The current speech technology may not be well equipped to extract information from multi-lingual mu…

cs.CV2023★ 2 cited

Table Tennis Stroke Detection and Recognition Using Ball Trajectory Data

Kaustubh Milind Kulkarni, Rohan S Jamadagni, Jeffrey Aaron Paul +1

In this work, the novel task of detecting and classifying table tennis strokes solely using the ball trajectory has been explored. A single camera setup positioned in the umpire's…

cs.CV2021★ 1 cited

Table Tennis Stroke Recognition Using Two-Dimensional Human Pose Estimation

Kaustubh Milind Kulkarni, Sucheth Shenoy

We introduce a novel method for collecting table tennis video data and perform stroke detection and classification. A diverse dataset containing video data of 11 basic strokes obta…

cs.CV2017

Automatic Recognition of Facial Displays of Unfelt Emotions

Kaustubh Kulkarni, Ciprian Adrian Corneanu, Ikechukwu Ofodile +5

Humans modify their facial expressions in order to communicate their internal states and sometimes to mislead observers regarding their true emotional states. Evidence in experimen…

cs.CV2014★ 43 cited

Continuous Action Recognition Based on Sequence Alignment

Kaustubh Kulkarni, Georgios Evangelidis, Jan Cech +1

Continuous action recognition is more challenging than isolated recognition because classification and segmentation must be simultaneously carried out. We build on the well known d…