| 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 | 50* | 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 | 44 | 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 | 35 | 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 | 21 | 2020 |
| 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 | 20 | 2019 |
| 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 | 20 | 2016 |
| Unsupervised Learning of Monocular Depth and Ego-Motion using Conditional PatchGANs. MB Vankadari, S Kumar, A Majumder, K Das IJCAI, 5677-5684, 2019 | 10 | 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 | 8 | 2020 |
| Unsupervised Depth and Confidence Prediction from Monocular Images using Bayesian Inference V Bhutani, M Vankadari, O Jha, A Majumder, S Kumar, S Dutta | 7 | 2020 |
| SeqMatchNet: Contrastive learning with sequence matching for place recognition & relocalization S Garg, M Vankadari, M Milford Conference on Robot Learning, 429-443, 2022 | 6 | 2022 |
| 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 | 4 | 2017 |
| 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 | 2 | 2019 |
| 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 | 1 | 2023 |
| 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 | | 2022 |
| 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 |
| 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 |
| 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 |
Swagat KumarEdge Hill UniversityE-mail megerősítve itt: edgehill.ac.uk
