no code implementations • 10 Oct 2022 • Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh
Therefore, this paper aims to provide a deep insight into the DL-based MER frameworks with a perspective on promises in network model designing, experimental strategies, challenges, and research needs.
no code implementations • 16 Jan 2022 • Monu Verma, Prafulla Saxena, Santosh Kumar Vipparthi, Girdhari Singh
CRIP encodes the transitional pattern of a facial expression by incorporating cross-centroid relationship between two ripples located at radius r1 and r2 respectively.
Facial Expression Recognition Facial Expression Recognition (FER)
no code implementations • 16 May 2020 • Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh
However, existing networks fail to establish a relationship between spatial features of facial appearance and temporal variations of facial dynamics.
no code implementations • 20 Apr 2019 • Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh, Subrahmanyam Murala
We also propose a Lateral Accretive Hybrid Network (LEARNet) to capture micro-level features of an expression in the facial region.
no code implementations • 14 Apr 2019 • Monu Verma, Jaspreet Kaur Bhui, Santosh Vipparthi, Girdhari Singh
The EXPERTNet extracts only pertinent features and neglect others by using exigent feature (ExFeat) block, mainly comprises of elective layer.
Facial Expression Recognition Facial Expression Recognition (FER)
no code implementations • 26 Nov 2018 • Monu Verma, Santosh. K. Vipparthi, Girdhari Singh
This paper presents a novel descriptor named Region based Extensive Response Index Pattern (RETRaIN) for facial expression recognition.
Facial Expression Recognition Facial Expression Recognition (FER)