9 citations · 15 across the 9 of their papers we have counts for
9 papers
Think Only When Needed: Prompt-Authority Control for Selective Slow-Path Intervention in Vision-Language-Action Manipulation
Zhiruo Zhou, Zelin Li, Xiwen Chen +4
Retrieval can efficiently and effectively augment a frozen vision--language--action (VLA) policy without retraining, yet retrieved text becomes a control intervention once it enter…
Pointing-VLA: Typed Spatial Grounding Interfaces for Vision-Language-Action Manipulation
Xiwen Chen, Zelin Li, Zhiruo Zhou +3
Vision-language-action (VLA) models often expose spatial grounding through autoregressive text coordinates or opaque action tokens, creating brittle interfaces between multimodal r…
Dueling World Models: Advantage-Style Action Channels for Common-Mode Distractor Rejection
Jiazhuo Li, Yiming Fei, Zhiruo Zhou +1
Latent world models plan by predicting future states from an action, but when a scene contains motion the agent does not control, they quietly go action-blind: predictions for diff…
Green Video Camouflaged Object Detection
Xinyu Wang, Hong-Shuo Chen, Zhiruo Zhou +3
Camouflaged object detection (COD) aims to distinguish hidden objects embedded in an environment highly similar to the object. Conventional video-based COD (VCOD) methods explicitl…
Unsupervised Green Object Tracker (GOT) without Offline Pre-training
Zhiruo Zhou, Suya You, C. -C. Jay Kuo
Supervised trackers trained on labeled data dominate the single object tracking field for superior tracking accuracy. The labeling cost and the huge computational complexity hinder…
GUSOT: Green and Unsupervised Single Object Tracking for Long Video Sequences
Zhiruo Zhou, Hongyu Fu, Suya You +1
Supervised and unsupervised deep trackers that rely on deep learning technologies are popular in recent years. Yet, they demand high computational complexity and a high memory cost…
Unsupervised Lightweight Single Object Tracking with UHP-SOT++
Zhiruo Zhou, Hongyu Fu, Suya You +1
An unsupervised, lightweight and high-performance single object tracker, called UHP-SOT, was proposed by Zhou et al. recently. As an extension, we present an enhanced version and n…
UHP-SOT: An Unsupervised High-Performance Single Object Tracker
Zhiruo Zhou, Hongyu Fu, Suya You +2
An unsupervised online object tracking method that exploits both foreground and background correlations is proposed and named UHP-SOT (Unsupervised High-Performance Single Object T…
From Two-Class Linear Discriminant Analysis to Interpretable Multilayer Perceptron Design
Ruiyuan Lin, Zhiruo Zhou, Suya You +2
A closed-form solution exists in two-class linear discriminant analysis (LDA), which discriminates two Gaussian-distributed classes in a multi-dimensional feature space. In this wo…