33 citations · 46 across the 7 of their papers we have counts for
9 papers
Livestock Monitoring with Transformer
Bhavesh Tangirala, Ishan Bhandari, Daniel Laszlo +3
Tracking the behaviour of livestock enables early detection and thus prevention of contagious diseases in modern animal farms. Apart from economic gains, this would reduce the amou…
Adaptive Neural Message Passing for Inductive Learning on Hypergraphs
Devanshu Arya, Deepak K. Gupta, Stevan Rudinac +1
Graphs are the most ubiquitous data structures for representing relational datasets and performing inferences in them. They model, however, only pairwise relations between nodes an…
Improving Solar Cell Metallization Designs using Convolutional Neural Networks
Sumit Bhattacharya, Devanshu Arya, Debjani Bhowmick +2
Optimizing the design of solar cell metallizations is one of the ways to improve the performance of solar cells. Recently, it has been shown that Topology Optimization (TO) can be…
Rotation Equivariant Siamese Networks for Tracking
Deepak K. Gupta, Devanshu Arya, Efstratios Gavves
Rotation is among the long prevailing, yet still unresolved, hard challenges encountered in visual object tracking. The existing deep learning-based tracking algorithms use regular…
HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs
Devanshu Arya, Deepak K. Gupta, Stevan Rudinac +1
Graphs are the most ubiquitous form of structured data representation used in machine learning. They model, however, only pairwise relations between nodes and are not designed for…
Hard Occlusions in Visual Object Tracking
Thijs P. Kuipers, Devanshu Arya, Deepak K. Gupta
Visual object tracking is among the hardest problems in computer vision, as trackers have to deal with many challenging circumstances such as illumination changes, fast motion, occ…