1 citations · 1 across the 5 of their papers we have counts for
6 papers
AgriScope: Pixel-Grounded Multimodal Understanding for Agricultural Images
Abderrahmene Boudiaf, Mohamad Alanssari, Irfan Hussain +1
Agricultural image understanding requires fine-grained recognition of plant diseases, pests, crop structures, and botanical species under complex real-world conditions. Despite rec…
Uncertainty-Aware Decision Making in Multimodal Large Language Models
Abderrahmene Boudiaf, Irfan Hussain, Sajid Javed
Multimodal large language models (MLLMs) increasingly answer questions whose correctness depends on visual, textual, temporal, acoustic, document, chart, or embodied evidence. Thei…
SegRAG: Retrieval Augmented Spatial Prompting for Open Vocabulary Semantic Segmentation
Abderrahmene Boudiaf, Irfan Hussain, Sajid Javed
Frozen segmentation foundation models often fail when the target class appears in a form that is weakly represented during pretraining. To address this problem, we introduce SegRAG…
CropVLM: A Domain-Adapted Vision-Language Model for Open-Set Crop Analysis
Abderrahmene Boudiaf, Sajd Javed
High-throughput plant phenotyping, the quantitative measurement of observable plant traits, is critical for modern breeding but remains constrained by a "phenotyping bottleneck," w…
AgriChat: A Multimodal Large Language Model for Agriculture Image Understanding
Abderrahmene Boudiaf, Irfan Hussain, Sajid Javed
The deployment of Multimodal Large Language Models (MLLMs) in agriculture is currently stalled by a critical trade-off: the existing literature lacks the large-scale agricultural d…
Underwater Image Enhancement Using Pre-trained Transformer
Abderrahmene Boudiaf, Yuhang Guo, Adarsh Ghimire +4
The goal of this work is to apply a denoising image transformer to remove the distortion from underwater images and compare it with other similar approaches. Automatic restoration…