Madhu Vankadari

According to our database, Madhu Vankadari authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

Towards Learning Group-Equivariant Features for Domain Adaptive 3D Detection.

Sangyun Shin, Yuhang He, Madhu Vankadari, Ta Ying Cheng, Qian Xie, Andrew Markham, Niki Trigoni

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Dusk Till Dawn: Self-supervised Nighttime Stereo Depth Estimation using Visual Foundation Models.

Madhu Vankadari, Samuel Hodgson, Sangyun Shin, Kaichen Zhou, Andrew Markham, Niki Trigoni

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation.

Sangyun Shin, Kaichen Zhou, Madhu Vankadari, Andrew Markham, Niki Trigoni

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR.

Sangyun Shin, Stuart Golodetz, Madhu Vankadari, Kaichen Zhou, Andrew Markham, Niki Trigoni

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Tighter Variational Bounds are Not Necessarily Better. A Research Report on Implementation, Ablation Study, and Extensions.

Amine M'Charrak, Vít Ruzicka, Sangyun Shin, Madhu Vankadari

CoRR, 2022

Real-Time Hybrid Mapping of Populated Indoor Scenes using a Low-Cost Monocular UAV.

Stuart Golodetz, Madhu Vankadari, Aluna Everitt, Sangyun Shin, Andrew Markham, Niki Trigoni

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

When the Sun Goes Down: Repairing Photometric Losses for All-Day Depth Estimation.

Madhu Vankadari, Stuart Golodetz, Sourav Garg, Sangyun Shin, Andrew Markham, Niki Trigoni

Proceedings of the Conference on Robot Learning, 2022