most citedRainMamba: Enhanced Locality Learning with State Space Models for Video Deraining

50 citations · 50 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2024

Investigating Size Congruency Between the Visual Perception of a VR Object and the Haptic Perception of Its Physical World Agent

Wenqi Zheng, Dawei Xiong, Cekai Weng +4

The perception of physical objects and miniatures enhances the realism and immersion in VR. This work explores the relationship between haptic feedback from real objects and their…

cs.CV202450 cited

RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining

Hongtao Wu, Yijun Yang, Huihui Xu +3

The outdoor vision systems are frequently contaminated by rain streaks and raindrops, which significantly degenerate the performance of visual tasks and multimedia applications. Th…

cs.RO2024

Preserving Relative Localization of FoV-Limited Drone Swarm via Active Mutual Observation

Lianjie Guo, Zaitian Gongye, Ziyi Xu +4

Relative state estimation is crucial for vision-based swarms to estimate and compensate for the unavoidable drift of visual odometry. For autonomous drones equipped with the most c…

cs.RO2024

Arm-Constrained Curriculum Learning for Loco-Manipulation of the Wheel-Legged Robot

Zifan Wang, Yufei Jia, Lu Shi +6

Incorporating a robotic manipulator into a wheel-legged robot enhances its agility and expands its potential for practical applications. However, the presence of potential instabil…

cs.RO2024

FACT: Fast and Active Coordinate Initialization for Vision-based Drone Swarms

Yuan Li, Anke Zhao, Yingjian Wang +5

Swarm robots have sparked remarkable developments across a range of fields. While it is necessary for various applications in swarm robots, a fast and robust coordinate initializat…