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cs.CV2026

Lighting-aware Unified Model for Instance Segmentation

Qisai Liu, Alloy Das, Zhanhong Jiang +4

Foundation models like the Segment Anything Model (SAM) demonstrate impressive zero-shot generalization but frequently degrade under diverse real-world illumination, particularly f…

cs.CV2026

Artifact Removal and Image Restoration in AFM:A Structured Mask-Guided Directional Inpainting Approach

Juntao Zhang, Angona Biswas, Jaydeep Rade +5

Atomic Force Microscopy (AFM) enables high-resolution surface imaging at the nanoscale, yet the output is often degraded by artifacts introduced by environmental noise, scanning im…

cs.CV2025

In-Context Adaptation of VLMs for Few-Shot Cell Detection in Optical Microscopy

Shreyan Ganguly, Angona Biswas, Jaydeep Rade +9

Foundation vision-language models (VLMs) excel on natural images, but their utility for biomedical microscopy remains underexplored. In this paper, we investigate how in-context le…

cs.CV2025

Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing

Anushrut Jignasu, Kelly O. Marshall, Ankush Kumar Mishra +5

G-code (Geometric code) or RS-274 is the most widely used computer numerical control (CNC) and 3D printing programming language. G-code provides machine instructions for the moveme…

cs.CV2025

MaizeField3D: A Curated 3D Point Cloud and Procedural Model Dataset of Field-Grown Maize from a Diversity Panel

Elvis Kimara, Mozhgan Hadadi, Jackson Godbersen +6

The development of artificial intelligence (AI) and machine learning (ML) based tools for 3D phenotyping, especially for maize, has been limited due to the lack of large and divers…

cs.CV2025

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification

Yanben Shen, Timilehin T. Ayanlade, Venkata Naresh Boddepalli +13

Early weed identification is crucial for effective management and control, and researchers, agronomists, and technology developers are increasingly interested in automating this pr…