58 citations · 98 across the 25 of their papers we have counts for
10 papers · 1 filter
PSMamba: Progressive Self-supervised Vision Mamba for Plant Disease Recognition
Abdullah Al Mamun, Miaohua Zhang, David Ahmedt-Aristizabal +2
Self-supervised Learning (SSL) has become a powerful paradigm for representation learning without manual annotations. However, most existing frameworks focus on global alignment an…
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…
StateSpace-SSL: Linear-Time Self-supervised Learning for Plant Disease Detection
Abdullah Al Mamun, Miaohua Zhang, David Ahmedt-Aristizabal +2
Self-supervised learning (SSL) is attractive for plant disease detection as it can exploit large collections of unlabeled leaf images, yet most existing SSL methods are built on CN…
ARMFlow: AutoRegressive MeanFlow for Online 3D Human Reaction Generation
Zichen Geng, Zeeshan Hayder, Wei Liu +2
3D human reaction generation faces three main challenges:(1) high motion fidelity, (2) real-time inference, and (3) autoregressive adaptability for online scenarios. Existing metho…
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…
ConMamba: Contrastive Vision Mamba for Plant Disease Detection
Abdullah Al Mamun, Miaohua Zhang, David Ahmedt-Aristizabal +2
Plant Disease Detection (PDD) is a key aspect of precision agriculture. However, existing deep learning methods often rely on extensively annotated datasets, which are time-consumi…
UniHM: Universal Human Motion Generation with Object Interactions in Indoor Scenes
Zichen Geng, Zeeshan Hayder, Wei Liu +1
Human motion synthesis in complex scenes presents a fundamental challenge, extending beyond conventional Text-to-Motion tasks by requiring the integration of diverse modalities suc…
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…
Auto-Regressive Diffusion for Generating 3D Human-Object Interactions
Zichen Geng, Zeeshan Hayder, Wei Liu +1
Text-driven Human-Object Interaction (Text-to-HOI) generation is an emerging field with applications in animation, video games, virtual reality, and robotics. A key challenge in HO…