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20232026
most citedWhere Do We Stand with Implicit Neural Representations? A Technical and Performance Survey

6 citations · 7 across the 9 of their papers we have counts for

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cs.CV2026

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

Zhongying Deng, Cheng Tang, Ziyan Huang +124

Foundation models have demonstrated remarkable success across diverse domains and tasks, primarily due to the thrive of large-scale, diverse, and high-quality datasets. However, in…

cs.CV2025

Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis

Zhongying Deng, Haoyu Wang, Ziyan Huang +6

Brain diseases, such as Alzheimer's disease and brain tumors, present profound challenges due to their complexity and societal impact. Recent advancements in brain foundation model…

cs.CV2024★ 6 cited

Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey

Amer Essakine, Yanqi Cheng, Chun-Wun Cheng +5

Implicit Neural Representations (INRs) have emerged as a paradigm in knowledge representation, offering exceptional flexibility and performance across a diverse range of applicatio…

cs.CV2023

TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios

Lihao Liu, Yanqi Cheng, Zhongying Deng +6

Multi-object tracking in traffic videos is a crucial research area, offering immense potential for enhancing traffic monitoring accuracy and promoting road safety measures through…

cs.CV2023★ 1 cited

HIBMatch: Hypergraph Information Bottleneck for Semi-supervised Alzheimer's Progression

Zhongying Deng, Shujun Wang, Angelica I Aviles-Rivero +2

Alzheimer's disease progression prediction is critical for patients with early Mild Cognitive Impairment (MCI) to enable timely intervention and improve their quality of life. Whil…