Search Results for author: Anima Majumder

Found 5 papers, 2 papers with code

CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning

1 code implementation31 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.

reinforcement-learning Reinforcement Learning (RL) +2

Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature Adaptation

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.

Depth Prediction Domain Adaptation +3

UnDEMoN 2.0: Improved Depth and Ego Motion Estimation through Deep Image Sampling

no code implementations27 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.

Depth Estimation Image Reconstruction +2

A Deeper Insight into the UnDEMoN: Unsupervised Deep Network for Depth and Ego-Motion Estimation

no code implementations27 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.

Depth Estimation Motion Estimation +1

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