activity
20172025
most citedJoint Anchor-Feature Refinement for Real-Time Accurate Object Detection in Images and Videos

1 citations · 4 across the 6 of their papers we have counts for

collaborators

7 papers

cs.NE2025

Plug-and-Play Homeostatic Spark: Zero-Cost Acceleration for SNN Training Across Paradigms

Rui Chen, Xingyu Chen, Yaoqing Hu +3

Spiking neural networks offer event driven computation, sparse activation, and hardware efficiency, yet training often converges slowly and lacks stability. We present Adaptive Hom…

cs.RO2025

Bioinspired underwater soft robots: from biology to robotics and back

Lei Li, Boyang Qin, Wenzhuo Gao +7

The ocean vast unexplored regions and diverse soft-bodied marine organisms have spurred interest in bio-inspired underwater soft robotics. Recent advances have enabled new capabili…

cs.CV2025

LET-US: Long Event-Text Understanding of Scenes

Rui Chen, Xingyu Chen, Shaoan Wang +2

Event cameras output event streams as sparse, asynchronous data with microsecond-level temporal resolution, enabling visual perception with low latency and a high dynamic range. Wh…

cs.RO2025★ 1 cited

A Novel ViDAR Device With Visual Inertial Encoder Odometry and Reinforcement Learning-Based Active SLAM Method

Zhanhua Xin, Zhihao Wang, Shenghao Zhang +7

In the field of multi-sensor fusion for simultaneous localization and mapping (SLAM), monocular cameras and IMUs are widely used to build simple and effective visual-inertial syste…

cs.RO2025★ 1 cited

A Novel Underwater Vehicle With Orientation Adjustable Thrusters: Design and Adaptive Tracking Control

Yifei Wang, Shihan Kong, Zhanhua Xin +3

Autonomous underwater vehicles (AUVs) are essential for marine exploration and research. However, conventional designs often struggle with limited maneuverability in complex, dynam…

cs.CV2018★ 1 cited

Joint Anchor-Feature Refinement for Real-Time Accurate Object Detection in Images and Videos

Xingyu Chen, Junzhi Yu, Shihan Kong +2

Object detection has been vigorously investigated for years but fast accurate detection for real-world scenes remains a very challenging problem. Overcoming drawbacks of single-sta…

cs.CV2017★ 1 cited

Towards Real-Time Advancement of Underwater Visual Quality with GAN

Xingyu Chen, Junzhi Yu, Shihan Kong +3

Low visual quality has prevented underwater robotic vision from a wide range of applications. Although several algorithms have been developed, real-time and adaptive methods are de…