4 papers
GST-VLA: Structured Gaussian Spatial Tokens for 3D Depth-Aware Vision-Language-Action Models
Md Selim Sarowar, Omer Tariq, Sungho Kim
VLA models encode visual observations as 2D patch tokens with no intrinsic geometric structure. We introduce GST-VLA with two contributions. First, the Gaussian Spatial Tokenizer (…
VFM-VLM: Vision Foundation Model and Vision Language Model based Visual Comparison for 3D Pose Estimation
Md Selim Sarowar, Sungho Kim
Vision Foundation Models (VFMs) and Vision Language Models (VLMs) have revolutionized computer vision by providing rich semantic and geometric representations. This paper presents…
Explainable Parkinsons Disease Gait Recognition Using Multimodal RGB-D Fusion and Large Language Models
Manar Alnaasan, Md Selim Sarowar, Sungho Kim
Accurate and interpretable gait analysis plays a crucial role in the early detection of Parkinsons disease (PD),yet most existing approaches remain limited by single-modality input…
VLM6D: VLM based 6Dof Pose Estimation based on RGB-D Images
Md Selim Sarowar, Sungho Kim
The primary challenge in computer vision is precisely calculating the pose of 6D objects, however many current approaches are still fragile and have trouble generalizing from synth…