24 citations · 58 across the 50 of their papers we have counts for
5 papers · 1 filter
HandAnthro: Automated Hand Anthropometry from a Single Image
Fan Zhou, Shuairan Chen, Mengying Zhang +6
Hand anthropometry supports protective-glove design, but existing measurement methods often require trained operators, specialized hardware, or manual landmarking. We present HandA…
APQF: Agentic Profiling-Guided Structured Pruning and Mixed-Precision Quantization with Adaptive Fine-Tuning
Sadegh Jafari, Mohiuddin Bilwal, Fan Zhou +2
Modern deep neural networks achieve strong performance, but their scale makes them costly and slow, especially on resource-constrained edge devices. Pruning and quantization addres…
LLM-Guided ANN Index Optimization for Human-Object Interaction Retrieval
Shahrzad Esmat, Chaunte W. Lacewell, Sameh Gobriel +2
Retrieval systems underpin modern AI applications -- spanning visual search, recommendation engines, and multi-modal question answering. Modern multi-stage retrieval systems requir…
AgenticPruner: MAC-Constrained Neural Network Compression via LLM-Driven Strategy Search
Shahrzad Esmat, Mahdi Banisharif, Ali Jannesari
Neural network pruning remains essential for deploying deep learning models on resource-constrained devices, yet existing approaches primarily target parameter reduction without di…
SuperSAM: Crafting a SAM Supernetwork via Structured Pruning and Unstructured Parameter Prioritization
Waqwoya Abebe, Sadegh Jafari, Sixing Yu +6
Neural Architecture Search (NAS) is a powerful approach of automating the design of efficient neural architectures. In contrast to traditional NAS methods, recently proposed one-sh…