V. Madhu Babu

According to our database, V. Madhu Babu authored at least 14 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Attentive One-Shot Meta-Imitation Learning From Visual Demonstration.

Vishal Bhutani, Anima Majumder, Madhu Babu Vankadari, Samrat Dutta, Aaditya Asati, Swagat Kumar

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

SeqMatchNet: Contrastive Learning with Sequence Matching for Place Recognition & Relocalization.

Sourav Garg, Madhu Babu Vankadari, Michael Milford

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Unsupervised Depth and Confidence Prediction from Monocular Images using Bayesian Inference.

Vishal Bhutani, Madhu Babu Vankadari, Omprakash Jha, Anima Majumder, Swagat Kumar, Samrat Dutta

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Attentive Task-Net: Self Supervised Task-Attention Network for Imitation Learning using Video Demonstration.

Kartik Ramachandruni, Madhu Babu Vankadari, Anima Majumder, Samrat Dutta, Swagat Kumar

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Unsupervised Monocular Depth Estimation for Night-Time Images Using Adversarial Domain Feature Adaptation.

Madhu Babu Vankadari, Sourav Garg, Anima Majumder, Swagat Kumar, Ardhendu Behera

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

SMAK-Net: Self-Supervised Multi-level Spatial Attention Network for Knowledge Representation towards Imitation Learning.

Kartik Ramachandruni, Madhu Babu Vankadari, Anima Majumder, Samrat Dutta, Swagat Kumar

Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, 2019

Unsupervised Learning of Monocular Depth and Ego-Motion using Conditional PatchGANs.

Madhu Babu Vankadari, Swagat Kumar, Anima Majumder, Kaushik Das

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation.

Sourav Garg, Madhu Babu Vankadari, Thanuja Dharmasiri, Stephen Hausler, Niko Sünderhauf, Swagat Kumar, Tom Drummond, Michael Milford

Proceedings of the International Conference on Robotics and Automation, 2019

Adaptive Gaussian Mixture-Probability Hypothesis Density Based Multi Sensor Multi-Target Tracking.

Chinmay Shinde, Kaushik Das, Rolif Lima, Madhu Babu Vankadari, Swagat Kumar

Proceedings of the 17th European Control Conference, 2019

2018

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

V. Madhu Babu, Swagat Kumar, Anima Majumder, Kaushik Das

CoRR, 2018

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

V. Madhu Babu, Anima Majumder, Kaushik Das, Swagat Kumar

CoRR, 2018

UnDEMoN: Unsupervised Deep Network for Depth and Ego-Motion Estimation.

V. Madhu Babu, Kaushik Das, Anima Majumder, Swagat Kumar

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Designing of self tuning PID controller for AR drone quadrotor.

V. Madhu Babu, Kaushik Das, Swagat Kumar

Proceedings of the 18th International Conference on Advanced Robotics, 2017

Autonomous Leader-Follower Architecture of A.R. Drones in GPS Constrained Environments.

Madhu Babu Vankadari, Kaushik Das, Swagat Kumar

Proceedings of the Advances in Robotics, 2017