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Madhu Vankadari
Madhu Vankadari
Verified email at cs.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
47*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
392017
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
312018
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
202016
Unsupervised monocular depth estimation for night-time images using adversarial domain feature adaptation
M Vankadari, S Garg, A Majumder, S Kumar, A Behera
European Conference on Computer Vision, 443-459, 2020
182020
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
182019
Unsupervised Learning of Monocular Depth and Ego-Motion using Conditional PatchGANs.
MB Vankadari, S Kumar, A Majumder, K Das
IJCAI, 5677-5684, 2019
92019
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
62020
SeqMatchNet: Contrastive learning with sequence matching for place recognition & relocalization
S Garg, M Vankadari, M Milford
Conference on Robot Learning, 429-443, 2022
52022
Unsupervised Depth and Confidence Prediction from Monocular Images using Bayesian Inference
V Bhutani, M Vankadari, O Jha, A Majumder, S Kumar, S Dutta
42020
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
42017
Tighter Variational Bounds are Not Necessarily Better. A Research Report on Implementation, Ablation Study, and Extensions
A M'Charrak, V Růžička, S Shin, M Vankadari
arXiv preprint arXiv:2209.11875, 2022
2022
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
arXiv preprint arXiv:2209.10471, 2022
2022
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
arXiv preprint arXiv:2206.13850, 2022
2022
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
2022
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
2022
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
arXiv preprint arXiv:2203.02453, 2022
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
2019
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
2019
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Articles 1–19