17 citations · 27 across the 10 of their papers we have counts for
11 papers
Quality-Driven and Diversity-Aware Sample Expansion for Robust Marine Obstacle Segmentation
Miaohua Zhang, Mohammad Ali Armin, Xuesong Li +5
Marine obstacle detection demands robust segmentation under challenging conditions, such as sun glitter, fog, and rapidly changing wave patterns. These factors degrade image qualit…
EMUSE: Evolutionary Map of the Universe Search Engine
Nikhel Gupta, Zeeshan Hayder, Minh Huynh +6
We present EMUSE (Evolutionary Map of the Universe Search Engine), a tool designed for searching specific radio sources within the extensive datasets of the EMU (Evolutionary Map o…
Discovery of Odd Radio Circles and Other Peculiars in the First Year of the EMU Survey using Object Detection
Nikhel Gupta, Ray P. Norris, Zeeshan Hayder +9
We present a systematic search for Odd Radio Circles (ORCs) and other unusual radio morphologies using data from the first year of the EMU (Evolutionary Map of the Universe) survey…
A Review on Coarse to Fine-Grained Animal Action Recognition
Ali Zia, Renuka Sharma, Abdelwahed Khamis +8
This review provides an in-depth exploration of the field of animal action recognition, focusing on coarse-grained (CG) and fine-grained (FG) techniques. The primary aim is to exam…
MoKD: Multi-Task Optimization for Knowledge Distillation
Zeeshan Hayder, Ali Cheraghian, Lars Petersson +1
Compact models can be effectively trained through Knowledge Distillation (KD), a technique that transfers knowledge from larger, high-performing teacher models. Two key challenges…
NeFF-BioNet: Crop Biomass Prediction from Point Cloud to Drone Imagery
Xuesong Li, Zeeshan Hayder, Ali Zia +7
Crop biomass offers crucial insights into plant health and yield, making it essential for crop science, farming systems, and agricultural research. However, current measurement met…
MMCBE: Multi-modality Dataset for Crop Biomass Prediction and Beyond
Xuesong Li, Zeeshan Hayder, Ali Zia +7
Crop biomass, a critical indicator of plant growth, health, and productivity, is invaluable for crop breeding programs and agronomic research. However, the accurate and scalable qu…
RG-CAT: Detection Pipeline and Catalogue of Radio Galaxies in the EMU Pilot Survey
Nikhel Gupta, Ray P. Norris, Zeeshan Hayder +15
We present source detection and catalogue construction pipelines to build the first catalogue of radio galaxies from the 270 pilot survey of the Evolutionary Map of the…
A Multimodal Dataset and Benchmark for Radio Galaxy and Infrared Host Detection
Nikhel Gupta, Zeeshan Hayder, Ray P. Norris +2
We present a novel multimodal dataset developed by expert astronomers to automate the detection and localisation of multi-component extended radio galaxies and their corresponding…
Deep Learning Approaches for Seizure Video Analysis: A Review
David Ahmedt-Aristizabal, Mohammad Ali Armin, Zeeshan Hayder +5
Seizure events can manifest as transient disruptions in the control of movements which may be organized in distinct behavioral sequences, accompanied or not by other observable fea…
RadioGalaxyNET: Dataset and Novel Computer Vision Algorithms for the Detection of Extended Radio Galaxies and Infrared Hosts
Nikhel Gupta, Zeeshan Hayder, Ray P. Norris +2
Creating radio galaxy catalogues from next-generation deep surveys requires automated identification of associated components of extended sources and their corresponding infrared h…