Madhu Vankadari
Madhu Vankadari
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UnDEMoN: Unsupervised Deep Network for Depth and Ego-Motion Estimation
VM Babu, K Das, A Majumdar, S Kumar
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
Designing of self tuning PID controller for AR drone quadrotor
VM Babu, K Das, S Kumar
2017 18th international conference on advanced robotics (ICAR), 167-172, 2017
A reinforcement learning approach for autonomous control and landing of a quadrotor
MB Vankadari, K Das, C Shinde, S Kumar
2018 International Conference on Unmanned Aircraft Systems (ICUAS), 676-683, 2018
Unsupervised monocular depth estimation for night-time images using adversarial domain feature adaptation
M Vankadari, S Garg, A Majumder, S Kumar, A Behera
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
An autonomous path finding robot using Q-learning
VM Babu, UV Krishna, SK Shahensha
2016 10th International Conference on Intelligent Systems and Control (ISCO …, 2016
Look no deeper: Recognizing places from opposing viewpoints under varying scene appearance using single-view depth estimation
S Garg, M Babu, T Dharmasiri, S Hausler, N Suenderhauf, S Kumar, ...
2019 International Conference on Robotics and Automation (ICRA), 4916-4923, 2019
SeqMatchNet: Contrastive learning with sequence matching for place recognition & relocalization
S Garg, M Vankadari, M Milford
Conference on Robot Learning, 429-443, 2022
Unsupervised Learning of Monocular Depth and Ego-Motion using Conditional PatchGANs.
MB Vankadari, S Kumar, A Majumder, K Das
IJCAI, 5677-5684, 2019
Attentive task-net: Self supervised task-attention network for imitation learning using video demonstration
K Ramachandruni, M Babu, A Majumder, S Dutta, S Kumar
2020 IEEE International Conference on Robotics and Automation (ICRA), 4760-4766, 2020
Unsupervised Depth and Confidence Prediction from Monocular Images using Bayesian Inference
V Bhutani, M Vankadari, O Jha, A Majumder, S Kumar, S Dutta
When the sun goes down: Repairing photometric losses for all-day depth estimation
M Vankadari, S Golodetz, S Garg, S Shin, A Markham, N Trigoni
Conference on Robot Learning, 1992-2003, 2023
Autonomous leader-follower architecture of ar drones in gps constrained environments
MB Vankadari, K Das, S Kumar
Proceedings of the Advances in Robotics, 1-6, 2017
Attentive One-Shot Meta-Imitation Learning From Visual Demonstration
V Bhutani, A Majumder, M Vankadari, S Dutta, A Asati, S Kumar
2022 International Conference on Robotics and Automation (ICRA), 8584-8590, 2022
Adaptive gaussian mixture-probability hypothesis density based multi sensor multi-target tracking
C Shinde, K Das, R Lima, MB Vankadari, S Kumar
2019 18th European Control Conference (ECC), 862-868, 2019
Real-Time Hybrid Mapping of Populated Indoor Scenes using a Low-Cost Monocular UAV
S Golodetz, M Vankadari, A Everitt, S Shin, A Markham, N Trigoni
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation
S Shin, K Zhou, M Vankadari, A Markham, N Trigoni
arXiv preprint arXiv:2312.11269, 2023
Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR
S Shin, S Golodetz, M Vankadari, K Zhou, A Markham, N Trigoni
2023 IEEE International Conference on Robotics and Automation (ICRA), 7090-7096, 2023
Method and system for unsupervised prediction of image depth and confidence map
VK Bhutani, MB Vankadari, AM Dutta, OM Jha, S Dutta
US Patent App. 17/451,663, 2022
SMAK-Net: Self-Supervised Multi-level Spatial Attention Network for Knowledge Representation towards Imitation Learning
K Ramachandruni, M Vankadari, A Majumder, S Dutta, S Kumar
2019 28th IEEE International Conference on Robot and Human Interactive …, 2019
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