activity
20182021
most citedFacial Micro-Expression Spotting and Recognition using Time Contrasted Feature with Visual Memory

17 citations · 24 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV20214 cited

Few-Shot Temporal Action Localization with Query Adaptive Transformer

Sauradip Nag, Xiatian Zhu, Tao Xiang

Existing temporal action localization (TAL) works rely on a large number of training videos with exhaustive segment-level annotation, preventing them from scaling to new classes. A…

cs.CV20203 cited

A New Unified Method for Detecting Text from Marathon Runners and Sports Players in Video

Sauradip Nag, Palaiahnakote Shivakumara, Umapada Pal +2

Detecting text located on the torsos of marathon runners and sports players in video is a challenging issue due to poor quality and adverse effects caused by flexible/colorful clot…

cs.CV2019

SaLite : A light-weight model for salient object detection

Kitty Varghese, Sauradip Nag

Salient object detection is a prevalent computer vision task that has applications ranging from abnormality detection to abnormality processing. Context modelling is an important c…

cs.CV201917 cited

Facial Micro-Expression Spotting and Recognition using Time Contrasted Feature with Visual Memory

Sauradip Nag, Ayan Kumar Bhunia, Aishik Konwer +1

Facial micro-expressions are sudden involuntary minute muscle movements which reveal true emotions that people try to conceal. Spotting a micro-expression and recognizing it is a m…

cs.CV2018

Offline Extraction of Indic Regional Language from Natural Scene Image using Text Segmentation and Deep Convolutional Sequence

Sauradip Nag, Pallab Kumar Ganguly, Sumit Roy +4

Regional language extraction from a natural scene image is always a challenging proposition due to its dependence on the text information extracted from Image. Text Extraction on t…

cs.CV2018

A New COLD Feature based Handwriting Analysis for Ethnicity/Nationality Identification

Sauradip Nag, Palaiahnakote Shivakumara, Wu Yirui +2

Identifying crime for forensic investigating teams when crimes involve people of different nationals is challenging. This paper proposes a new method for ethnicity (nationality) id…