collaborators

13 papers

cs.RO2026

A 3DGS-Driven Dynamic Viewpoint and Vibrotactile Framework for Subsea Teleoperation Validated via fNIRS

Fang Xu, Tianyu Zhou, Ruitong Tian +2

Teleoperating remotely operated vehicles (ROVs) in flooded, cluttered infrastructure is fundamentally limited by narrow 2D egocentric views and subsea communication latency. We pre…

cs.CV2026

HiRQA: Hierarchical Ranking and Quality Alignment for Opinion-Unaware Image Quality Assessment

Vaishnav Ramesh, Haining Wang, Md Jahidul Islam

Despite significant progress in no-reference image quality assessment (NR-IQA), dataset biases and reliance on subjective labels continue to hinder their generalization performance…

eess.SP2026

Active Localization of Close-range Adversarial Acoustic Sources for Underwater Data Center Surveillance

Adnan Abdullah, David Blow, Sara Rampazzi +1

Underwater data infrastructures offer natural cooling and enhanced physical security compared to terrestrial facilities, but their storage systems remain susceptible to acoustic in…

cs.RO2026

EgoExo++: Integrating On-demand Exocentric Visuals with 2.5D Ground Surface Estimation for Interactive Teleoperation of Underwater ROVs

Adnan Abdullah, Ruo Chen, Ioannis Rekleitis +1

Underwater ROVs (Remotely Operated Vehicles) are indispensable for subsea exploration and task execution, yet typical teleoperation engines based on egocentric (first-person) video…

cs.RO2026

NemeSys: Toward Online Underwater Exploration with Remote Operator-in-the-loop Adaptive Autonomy

Adnan Abdullah, Alankrit Gupta, Vaishnav Ramesh +2

Adaptive mission control and dynamic parameter reconfiguration are essential for autonomous underwater vehicles (AUVs) operating in GPS-denied, communication-limited marine environ…

cs.CV2025

UStyle: Waterbody Style Transfer of Underwater Scenes by Depth-Guided Feature Synthesis

Md Abu Bakr Siddique, Vaishnav Ramesh, Junliang Liu +2

The concept of waterbody style transfer remains largely unexplored in the underwater imaging and vision literature. Traditional image style transfer (STx) methods primarily focus o…