40 citations · 62 across the 17 of their papers we have counts for
6 papers · 1 filter
Unique Identification of Macaques for Population Monitoring and Control
Ankita Shukla, Gullal Singh Cheema, Saket Anand +2
Despite loss of natural habitat due to development and urbanization, certain species like the Rhesus macaque have adapted well to the urban environment. With abundant food and no p…
A Reinforcement Learning Approach to Jointly Adapt Vehicular Communications and Planning for Optimized Driving
Mayank K. Pal, Rupali Bhati, Anil Sharma +3
Our premise is that autonomous vehicles must optimize communications and motion planning jointly. Specifically, a vehicle must adapt its motion plan staying cognizant of communicat…
Semi-Supervised Clustering with Neural Networks
Ankita Shukla, Gullal Singh Cheema, Saket Anand
Clustering using neural networks has recently demonstrated promising performance in machine learning and computer vision applications. However, the performance of current approache…
A Reinforcement Learning Approach to Target Tracking in a Camera Network
Anil Sharma, Prabhat Kumar, Saket Anand +1
Target tracking in a camera network is an important task for surveillance and scene understanding. The task is challenging due to disjoint views and illumination variation in diffe…
Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition
Aditay Tripathi, Aanchan Mohan, Saket Anand +1
Recent advances in neural network based acoustic modelling have shown significant improvements in automatic speech recognition (ASR) performance. In order for acoustic models to be…
Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders
Ananya Harsh Jha, Saket Anand, Maneesh Singh +1
Generative models that learn disentangled representations for different factors of variation in an image can be very useful for targeted data augmentation. By sampling from the dis…