引用次数
引用: 330
H-指数: 10
I10-指数 : 10
出版物: 20
Attentive Task-Net: Self Supervised Task-Attention Network for Imitation Learning using Video Demonstration
Kartik Ramachandruni , Madhu Babu V. , Anima Majumder , Samrat Dutta
2020 IEEE International Conference on Robotics and Automation (ICRA) 4760 -4766
7
2020
Unsupervised Depth and Confidence Prediction from Monocular Images using Bayesian Inference
Anima Majumder , Samrat Dutta , Swagat Kumar , Madhu Vankadari
intelligent robots and systems 10108 -10115
2020
Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature Adaptation
Madhu Vankadari , Sourav Garg , Anima Majumder , Swagat Kumar
european conference on computer vision 443 -459
21
2020
SMAK-Net: Self-Supervised Multi-level Spatial Attention Network for Knowledge Representation towards Imitation Learning
Kartik Ramachandruni , Madhu Vankadari , Anima Majumder , Samrat Dutta
2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) 1 -6
2019
Attentive One-Shot Meta-Imitation Learning From Visual Demonstration
Vishal Bhutani , Anima Majumder , Madhu Vankadari , Samrat Dutta
Smpte Journal 8584 -8590
2022
SeqMatchNet: Contrastive learning with sequence matching for place recognition & relocalization
Sourav Garg , Madhu Vankadari , Michael Milford
Conference on Robot Learning 429 -443
23
2022
When the sun goes down: Repairing photometric losses for all-day depth estimation
Madhu Vankadari , Stuart Golodetz , Sourav Garg , Sangyun Shin
Conference on Robot Learning 1992 -2003
13
2023
Real-time hybrid mapping of populated indoor scenes using a low-cost monocular uav
Stuart Golodetz , Madhu Vankadari , Aluna Everitt , Sangyun Shin
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 325 -332
2
2022
Dusk Till Dawn: Self-supervised Nighttime Stereo Depth Estimation using Visual Foundation Models
Madhu Vankadari , Samuel Hodgson , Sangyun Shin , Kaichen Zhou Andrew Markham
arXiv preprint arXiv:2405.11158
2024
Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR
Sangyun Shin , Stuart Golodetz , Madhu Vankadari , Kaichen Zhou
2023 IEEE International Conference on Robotics and Automation (ICRA) 7090 -7096
2023
Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation
Sangyun Shin , Kaichen Zhou , Madhu Vankadari , Andrew Markham
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 4060 -4069
2024
Adaptive Gaussian Mixture-Probability Hypothesis Density Based Multi Sensor Multi-Target Tracking
Chinmay Shinde , Kaushik Das , Rolif Lima , Madhu Babu Vankadari
european control conference 862 -868
2019
Autonomous Leader-Follower Architecture of A.R. Drones in GPS Constrained Environments
Madhu Babu Vankadari , Kaushik Das , Swagat Kumar
Artificial Intelligence Review 51
3
2017
A Reinforcement Learning Approach for Autonomous Control and Landing of a Quadrotor
Madhu Babu Vankadari , Kaushik Das , Chinmay Shinde , Swagat Kumar
international conference on unmanned aircraft systems 676 -683
34
2018
Unsupervised Learning of Monocular Depth and Ego-Motion using Conditional PatchGANs.
Madhu Babu Vankadari , Swagat Kumar , Anima Majumder , Kaushik Das
IJCAI 5677 -5684
11
2019
Method and system for unsupervised prediction of image depth and confidence map
Vishal Kumar Bhutani , Madhu Babu Vankadari , Anima Majumder Dutta , Omprakash Manojkumar Jha
2022
Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation
Sourav Garg , Madhu Babu V , Thanuja Dharmasiri , Stephen Hausler
international conference on robotics and automation 4916 -4923
16
2019
UnDEMoN: Unsupervised Deep Network for Depth and Ego-Motion Estimation
V Madhu Babu , Kaushik Das , Anima Majumdar , Swagat Kumar
intelligent robots and systems 1082 -1088
24
2018
Designing of self tuning PID controller for AR drone quadrotor
V Madhu Babu , Kaushik Das , Swagat Kumar ,
international conference on advanced robotics 167 -172
43
2017
An autonomous path finding robot using Q-learning
V Madhu Babu , U Vamshi Krishna , SK Shahensha ,
international conference on intelligent systems and control 1 -6
20
2016