118 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Karolinska InstitutetSE3 papers
- All India Institute of Medical Sciences, NagpurIN1 paper
- Central Leprosy Teaching & Research InstituteIN1 paper
- GSI Helmholtz Centre for Heavy Ion ResearchDE1 paper
- Institute of Physics, BhubaneshwarIN1 paper
- Old Dominion UniversityUS1 paper
- Sri Sathya Sai Institute of Higher Medical SciencesIN1 paper
7 papers · 1 filter
EXACFS -- A CIL Method to mitigate Catastrophic Forgetting
S Balasubramanian, M Sai Subramaniam, Sai Sriram Talasu +4
Deep neural networks (DNNS) excel at learning from static datasets but struggle with continual learning, where data arrives sequentially. Catastrophic forgetting, the phenomenon of…
Affect Expression Behaviour Analysis in the Wild using Consensual Collaborative Training
Darshan Gera, S Balasubramanian
Facial expression recognition (FER) in the wild is crucial for building reliable human-computer interactive systems. However, annotations of large scale datasets in FER has been a…
Consensual Collaborative Training And Knowledge Distillation Based Facial Expression Recognition Under Noisy Annotations
Darshan Gera, S. Balasubramanian
Presence of noise in the labels of large scale facial expression datasets has been a key challenge towards Facial Expression Recognition (FER) in the wild. During early learning st…
Nonlinear Evolutionary PDE-Based Refinement of Optical Flow
Hirak Doshi, N. Uday Kiran
The goal of this paper is to propose two nonlinear variational models for obtaining a refined motion estimation from an image sequence. Both the proposed models can be considered a…
A Framework for Fluid Motion Estimation using a Constraint-Based Refinement Approach
Hirak Doshi, N. Uday Kiran
Physics-based optical flow models have been successful in capturing the deformities in fluid motion arising from digital imagery. However, a common theoretical framework analyzing…
Landmark Guidance Independent Spatio-channel Attention and Complementary Context Information based Facial Expression Recognition
Darshan Gera, S Balasubramanian
A recent trend to recognize facial expressions in the real-world scenario is to deploy attention based convolutional neural networks (CNNs) locally to signify the importance of fac…
Novel Framework for Spectral Clustering using Topological Node Features(TNF)
Lalith Srikanth Chintalapati, Raghunatha Sarma Rachakonda
Spectral clustering has gained importance in recent years due to its ability to cluster complex data as it requires only pairwise similarity among data points with its ease of impl…