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20242026
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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

HS-3D-NeRF: 3D Surface and Hyperspectral Reconstruction From Stationary Hyperspectral Images Using Multi-Channel NeRFs

Kibon Ku, Talukder Z. Jubery, Adarsh Krishnamurthy +1

Advances in hyperspectral imaging (HSI) and 3D reconstruction have enabled accurate, high-throughput characterization of agricultural produce quality and plant phenotypes, both ess…

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

FloraForge: LLM-Assisted Procedural Generation of Editable and Analysis-Ready 3D Plant Geometric Models For Agricultural Applications

Mozhgan Hadadi, Talukder Z. Jubery, Patrick S. Schnable +4

Accurate 3D plant models are crucial for computational phenotyping and physics-based simulation; however, current approaches face significant limitations. Learning-based reconstruc…

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

ProFusion: 3D Reconstruction of Protein Complex Structures from Multi-view AFM Images

Jaydeep Rade, Md Hasibul Hasan Hasib, Meric Ozturk +8

AI-based in silico methods have improved protein structure prediction but often struggle with large protein complexes (PCs) involving multiple interacting proteins due to missing 3…