Bappaditya Debnath

Orcid: 0000-0002-2026-8632

According to our database1, Bappaditya Debnath authored at least 13 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Towards autonomous selective harvesting: A review of robot perception, robot design, motion planning and control.
J. Field Robotics, October, 2024

Modular autonomous strawberry picking robotic system.
J. Field Robotics, October, 2024

2023
Autonomous Strawberry Picking Robotic System (Robofruit).
CoRR, 2023

2022
Deep CNN, Body Pose, and Body-Object Interaction Features for Drivers' Activity Monitoring.
IEEE Trans. Intell. Transp. Syst., 2022

A review of computer vision-based approaches for physical rehabilitation and assessment.
Multim. Syst., 2022

dPMP-Deep Probabilistic Motion Planning: A use case in Strawberry Picking Robot.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Strawberry picking point localization ripeness and weight estimation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
A vision-based approach for assisting functional assessment involving activities of daily living
PhD thesis, 2021

Attentional Learn-able Pooling for Human Activity Recognition.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Attention-Driven Body Pose Encoding for Human Activity Recognition.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2018
Context-driven Multi-stream LSTM (M-LSTM) for Recognizing Fine-Grained Activity of Drivers.
Proceedings of the Pattern Recognition - 40th German Conference, 2018

A Vision-based Transfer Learning Approach for Recognizing Behavioral Symptoms in People with Dementia.
Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018

Adapting MobileNets for mobile based upper body pose estimation.
Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018


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