collaborators

6 papers

cs.CV2026

FlexiAvatar: Unified 3D Gaussian Human Avatars Under Arbitrary Body Visibility

Yihalem Yimolal Tiruneh, Muhammad Salman Ali, Uyoung Jeong +5

Reconstructing animatable 3D human avatars from monocular video is a fundamental problem in computer vision with broad applications in AR/VR and digital content creation. Existing…

cs.CV2026

SAGE: An Expert-Annotated South Asian GI Endoscopy Dataset for Multimodal Learning and Hallucination Analysis

Niyoj Oli, Sachin Acharya, Sandesh Pokhrel +7

Gastrointestinal cancers represent a growing health burden in the South Asian region, driven largely by rapid changes in socio-economic conditions and lifestyle habits. However, ea…

cs.CV2026

HandVQA: Diagnosing and Improving Fine-Grained Spatial Reasoning about Hands in Vision-Language Models

MD Khalequzzaman Chowdhury Sayem, Mubarrat Tajoar Chowdhury, Yihalem Yimolal Tiruneh +4

Understanding the fine-grained articulation of human hands is critical in high-stakes settings such as robot-assisted surgery, chip manufacturing, and AR/VR-based human-AI interact…

cs.CV2025

Estimating 2D Keypoints of Surgical Tools Using Vision-Language Models with Low-Rank Adaptation

Krit Duangprom, Tryphon Lambrou, Binod Bhattarai

This paper presents a novel pipeline for 2D keypoint estima- tion of surgical tools by leveraging Vision Language Models (VLMs) fine- tuned using a low rank adjusting (LoRA) techni…

cs.CV2025

Federated Foundation Model for GI Endoscopy Images

Alina Devkota, Annahita Amireskandari, Joel Palko +5

Gastrointestinal (GI) endoscopy is essential in identifying GI tract abnormalities in order to detect diseases in their early stages and improve patient outcomes. Although deep lea…

cs.CV2024

NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision

Sandesh Pokhrel, Sanjay Bhandari, Sharib Ali +7

The integration of deep learning tools in gastrointestinal vision holds the potential for significant advancements in diagnosis, treatment, and overall patient care. A major challe…