5 papers
On the Sparsity-Storage-Accuracy Tradeoff in Parsimoniously Activated Dictionary Learning
Zihui Zhao, Yuanbo Tang, Yang Li
Dictionary learning has long been studied from both optimization and probabilistic perspectives. While formulations with element-wise sparsity regularization (e.g., L1-based sparse…
Data-Efficient and Robust Trajectory Generation through Pathlet Dictionary Learning
Yuanbo Tang, Yan Tang, Zixuan Zhang +2
Trajectory generation has recently drawn growing interest in privacy-preserving urban mobility studies and location-based service applications. Although many studies have used deep…
S2ML: Spatio-Spectral Mutual Learning for Depth Completion
Zihui Zhao, Yifei Zhang, Zheng Wang +4
The raw depth images captured by RGB-D cameras using Time-of-Flight (TOF) or structured light often suffer from incomplete depth values due to weak reflections, boundary shadows, a…
A Unified Probabilistic Framework for Dictionary Learning with Parsimonious Activation
Zihui Zhao, Yuanbo Tang, Jieyu Ren +2
Dictionary learning is traditionally formulated as an -regularized signal reconstruction problem. While recent developments have incorporated discriminative, hierarchical, or…
LFTR: Learning-Free Token Reduction for Multimodal Large Language Models
Zihui Zhao, Yingxin Li, Yang Li
Multimodal Large Language Models (MLLMs) have demonstrated exceptional success in various multimodal tasks, yet their deployment is frequently limited by substantial computational…