activity
20192022
most citedScale Steerable Filters for Locally Scale-Invariant Convolutional Neural Networks

35 citations · 91 across the 6 of their papers we have counts for

collaborators

7 papers

cs.RO2022

Semi-Supervised Disentanglement of Tactile Contact~Geometry from Sliding-Induced Shear

Anupam K. Gupta, Alex Church, Nathan F. Lepora

The sense of touch is fundamental to human dexterity. When mimicked in robotic touch, particularly by use of soft optical tactile sensors, it suffers from distortion due to motion-…

cs.RO2021★ 1 cited

Tactile Image-to-Image Disentanglement of Contact Geometry from Motion-Induced Shear

Anupam K. Gupta, Laurence Aitchison, Nathan F. Lepora

Robotic touch, particularly when using soft optical tactile sensors, suffers from distortion caused by motion-dependent shear. The manner in which the sensor contacts a stimulus is…

cs.RO2020★ 25 cited

Spatio-temporal encoding improves neuromorphic tactile texture classification

Anupam K. Gupta, Andrei Nakagawa, Nathan F. Lepora +1

With the increase in interest in deployment of robots in unstructured environments to work alongside humans, the development of human-like sense of touch for robots becomes importa…

cs.LG2019

Investigating Convolutional Neural Networks using Spatial Orderness

Rohan Ghosh, Anupam K. Gupta, Mehul Motani

Convolutional Neural Networks (CNN) have been pivotal to the success of many state-of-the-art classification problems, in a wide variety of domains (for e.g. vision, speech, graphs…

cs.CV2019★ 35 cited

Scale Steerable Filters for Locally Scale-Invariant Convolutional Neural Networks

Rohan Ghosh, Anupam K. Gupta

Augmenting transformation knowledge onto a convolutional neural network's weights has often yielded significant improvements in performance. For rotational transformation augmentat…

cs.CV2019★ 27 cited

Spatiotemporal Filtering for Event-Based Action Recognition

Rohan Ghosh, Anupam Gupta, Andrei Nakagawa +2

In this paper, we address the challenging problem of action recognition, using event-based cameras. To recognise most gestural actions, often higher temporal precision is required…