4 papers
Distilling 3D Spatial Reasoning into a Lightweight Vision-Language Model with CoT
Alaa Asfour, Christopher Indris, Leihan Chen +2
Large-scale 3D vision-language models (VLMs) like LLaVA-3D offer strong spatial reasoning but are difficult to deploy due to high computational costs. We propose a knowledge distil…
Tracking Moose using Aerial Object Detection
Christopher Indris, Raiyan Rahman, Goetz Bramesfeld +1
Aerial wildlife tracking is critical for conservation efforts and relies on detecting small objects on the ground below the aircraft. It presents technical challenges: crewed aircr…
A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields
Raiyan Rahman, Christopher Indris, Goetz Bramesfeld +8
Aphid infestations are one of the primary causes of extensive damage to wheat and sorghum fields and are one of the most common vectors for plant viruses, resulting in significant…
On the Real-Time Semantic Segmentation of Aphid Clusters in the Wild
Raiyan Rahman, Christopher Indris, Tianxiao Zhang +5
Aphid infestations can cause extensive damage to wheat and sorghum fields and spread plant viruses, resulting in significant yield losses in agriculture. To address this issue, far…