We present SegLLM, a novel multi-round interactive segmentation model that leverages conversational memory of both visual and textual outputs to reason over previously segmented objects and past ...

Ethical disclosures and Gaussian Splatting are on the wane, while the sheer volume of submitted papers represents a new ...

Abstract: Efficient large-scale monitoring of methane emissions is crucial for sustainable environmental management, necessitating advanced remote sensing techniques that process hyperspectral imagery ...

Abstract: Vision-language models (VLMs) excel in visual understanding but often lack reliable grounding capabilities and actionable inference rates. Integrating them with open-vocabulary object ...

Using a custom "camera-to-rice" platform combined with deep-learning methods for feature extraction, matching, segmentation, and denoising, the system ...

Master’s thesis position (M.Sc. student) in Deep Learning for Healthcare.

Crafting clear mission and vision statements is critical to shaping company identity, motivating employees and guiding decision-making. A mission statement defines the current scope and purpose of the ...

Density-based clustering for vector embeddings using HDBSCAN and cosine similarity. Features automatic parameter search, PCA, and quality metrics without defining cluster counts.