1 code implementation • 31 Jan 2023 • Darshita Jain, Anima Majumder, Samrat Dutta, Swagat Kumar
This paper addresses the problem of visual feature representation learning with an aim to improve the performance of end-to-end reinforcement learning (RL) models.
no code implementations • 11 Oct 2020 • Anima Majumder, Samrat Dutta, Swagat Kumar, Laxmidhar Behera
This is achieved by finding \emph{no man's land} based on Euclidean distance between the feature vectors.
1 code implementation • ECCV 2020 • Madhu Vankadari, Sourav Garg, Anima Majumder, Swagat Kumar, Ardhendu Behera
We propose to solve this problem by posing it as a domain adaptation problem where a network trained with day-time images is adapted to work for night-time images.
no code implementations • 27 Nov 2018 • Madhu Babu V, Swagat Kumar, Anima Majumder, Kaushik Das
In this paper, we provide an improved version of UnDEMoN model for depth and ego motion estimation from monocular images.
no code implementations • 27 Aug 2018 • Madhu Babu V, Anima Majumder, Kaushik Das, Swagat Kumar
The proposed network is trained using unlabeled monocular stereo image pairs and is shown to provide superior performance in depth and ego-motion estimation compared to the existing state-of-the-art.