2 citations · 2 across the 2 of their papers we have counts for
3 papers
Hamiltonian Metric Learning and Energy-Based Training: A Dissipative Geometric Framework for Optimization
Sparsho Chakraborty, Mohammad Alamgir, Nishanth M +3
Optimization in machine learning is usually expressed through iterative rules that update model parameters using information from the loss landscape. In this work, we study an alte…
Positive Pair Geometry Matters: Optimal Transport for Contrastive Learning of Visual Representations
Akshit Nanda, Shahzad Ahmad, Ram Prasad Padhy
Contrastive self-supervised learning has achieved strong performance by learning representations from multiple augmented views of the same image. However, most existing methods con…
Localization of Unmanned Aerial Vehicles in Corridor Environments using Deep Learning
Ram Prasad Padhy, Shahzad Ahmad, Sachin Verma +2
Vision-based pose estimation of Unmanned Aerial Vehicles (UAV) in unknown environments is a rapidly growing research area in the field of robot vision. The task becomes more comple…