Shreyas S. Shivakumar

Orcid: 0000-0003-2633-0203

According to our database1, Shreyas S. Shivakumar authored at least 17 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Multi-Agent VQA: Exploring Multi-Agent Foundation Models in Zero-Shot Visual Question Answering.
CoRR, 2024

2022
DSOL: A Fast Direct Sparse Odometry Scheme.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

LLOL: Low-Latency Odometry for Spinning Lidars.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Any Way You Look at It: Semantic Crossview Localization and Mapping With LiDAR.
IEEE Robotics Autom. Lett., 2021

2020
Mine Tunnel Exploration Using Multiple Quadrupedal Robots.
IEEE Robotics Autom. Lett., 2020

PST900: RGB-Thermal Calibration, Dataset and Segmentation Network.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
MAVNet: An Effective Semantic Segmentation Micro-Network for MAV-Based Tasks.
IEEE Robotics Autom. Lett., 2019

Monocular Camera Based Fruit Counting and Mapping With Semantic Data Association.
IEEE Robotics Autom. Lett., 2019

MAVNet: an Effective Semantic Segmentation Micro-Network for MAV-based Tasks.
CoRR, 2019

DFineNet: Ego-Motion Estimation and Depth Refinement from Sparse, Noisy Depth Input with RGB Guidance.
CoRR, 2019

DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion.
CoRR, 2019

DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Real Time Dense Depth Estimation by Fusing Stereo with Sparse Depth Measurements.
Proceedings of the International Conference on Robotics and Automation, 2019

The Open Vision Computer: An Integrated Sensing and Compute System for Mobile Robots.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model.
IEEE Robotics Autom. Lett., 2018

2017
Counting Apples and Oranges With Deep Learning: A Data-Driven Approach.
IEEE Robotics Autom. Lett., 2017

Stereo 3D tracking of infants in natural play conditions.
Proceedings of the International Conference on Rehabilitation Robotics, 2017


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