8 citations · 25 across the 7 of their papers we have counts for
9 papers
Iterative collaborative routing among equivariant capsules for transformation-robust capsule networks
Sai Raam Venkataraman, S. Balasubramanian, R. Raghunatha Sarma
Transformation-robustness is an important feature for machine learning models that perform image classification. Many methods aim to bestow this property to models by the use of da…
Robustcaps: a transformation-robust capsule network for image classification
Sai Raam Venkataraman, S. Balasubramanian, R. Raghunatha Sarma
Geometric transformations of the training data as well as the test data present challenges to the use of deep neural networks to vision-based learning tasks. In order to address th…
Can you even tell left from right? Presenting a new challenge for VQA
Sai Raam Venkatraman, Rishi Rao, S. Balasubramanian +2
Visual Question Answering (VQA) needs a means of evaluating the strengths and weaknesses of models. One aspect of such an evaluation is the evaluation of compositional generalisati…
Imponderous Net for Facial Expression Recognition in the Wild
Darshan Gera, S. Balasubramanian
Since the renaissance of deep learning (DL), facial expression recognition (FER) has received a lot of interest, with continual improvement in the performance. Hand-in-hand with pe…
Affect Expression Behaviour Analysis in the Wild using Spatio-Channel Attention and Complementary Context Information
Darshan Gera, S Balasubramanian
Facial expression recognition(FER) in the wild is crucial for building reliable human-computer interactive systems. However, current FER systems fail to perform well under various…
Learning Compositional Structures for Deep Learning: Why Routing-by-agreement is Necessary
Sai Raam Venkatraman, Ankit Anand, S. Balasubramanian +1
A formal description of the compositionality of neural networks is associated directly with the formal grammar-structure of the objects it seeks to represent. This formal grammar-s…