Personal information

Keywords

Computer Vision, Deep Learning, Robotics, Tactile Sensing, Multimodal Fusion

Countries

United Kingdom

Biography

John Doherty received a BSc degree in Computer Science (with first-class honours) from Ulster University in 2020. He is currently working towards a PhD in Autonomous Object Recognition for Robots at the Intelligent Systems Research Centre, Ulster University. His research interests include computer vision, tactile object recognition and multimodal fusion.

Activities

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Employment (1)

PricewaterhouseCoopers International Ltd: Belfast, Northern Ireland, GB

2017-07-01 to 2018-06-01 | Associate (Legal Technology)
Employment
Source: Self-asserted source
John Doherty

Education and qualifications (1)

Ulster University - Magee Campus: Londonderry, Derry, GB

2016-09-01 to 2020-05-01 | BSc Computer Science (Faculty of Computing, Engineering and Intelligent Systems)
Education
Source: Self-asserted source
John Doherty

Professional activities (4)

British Machine Vision Association: Colchester, GB

2022-01-01 to 2023-01-01 | BMVA Member
Membership
Source: Self-asserted source
John Doherty

Ulster University - Magee Campus: Londonderry, Derry, GB

2019-01-01 | Dean's List (Faculty of Computing, Engineering and Intelligent Systems)
Distinction
Source: Self-asserted source
John Doherty

Ulster University - Magee Campus: Londonderry, Derry, GB

2017-01-01 | Dean's List (Faculty of Computing, Engineering and Intelligent Systems)
Distinction
Source: Self-asserted source
John Doherty

Ulster University - Magee Campus: Londonderry, Derry, GB

2016-01-01 | Dean's List (Faculty of Computing, Engineering and Intelligent Systems)
Distinction
Source: Self-asserted source
John Doherty

Works (3)

BiFPN-YOLO: One-stage object detection integrating Bi-Directional Feature Pyramid Networks

Pattern Recognition
2025-04 | Journal article
DOI: 10.1016/j.patcog.2024.111209
Contributors: John Doherty; Bryan Gardiner; Emmett Kerr; Nazmul Siddique
Source: check_circle
Crossref

Fast and Accurate Tactile Object Recognition Using a Random Convolutional Kernel Transform

2023-12-05 | Conference paper
DOI: 10.1109/ICAR58858.2023.10406365
Contributors: John Doherty; Bryan Gardiner; Emmett Kerr; Nazmul Siddique
Source: check_circle
Crossref

Comparative Study of Activation Functions and Their Impact on the YOLOv5 Object Detection Model

2022 | Book chapter
DOI: 10.1007/978-3-031-09282-4_4
Contributors: John Doherty; Bryan Gardiner; Emmett Kerr; Nazmul Siddique; Sunilkumar S. Manvi
Source: check_circle
Crossref
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