most citedS2ML: Spatio-Spectral Mutual Learning for Depth Completion

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

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…

cs.CV2025★ 1 cited

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…

cs.LG2025

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…

cs.LG2025

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…

cs.CV2025

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…