activity
20212025
most citediShape: A First Step Towards Irregular Shape Instance Segmentation

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

collaborators

6 papers

cs.RO2025

A Convex and Global Solution for the PP Problem in 2D Forward-Looking Sonar

Jiayi Su, Jingyu Qian, Liuqing Yang +5

The perspective--point (PP) problem is important for robotic pose estimation. It is well studied for optical cameras, but research is lacking for 2D forward-looking sonar (FL…

cs.RO2025★ 1 cited

Rejecting Outliers in 2D-3D Point Correspondences from 2D Forward-Looking Sonar Observations

Jiayi Su, Shaofeng Zou, Jingyu Qian +3

Rejecting outliers before applying classical robust methods is a common approach to increase the success rate of estimation, particularly when the outlier ratio is extremely high (…

eess.SP2024

DM-SBL: Channel Estimation under Structured Interference

Yifan Wang, Chengjie Yu, Jiang Zhu +4

Channel estimation is a fundamental task in communication systems and is critical for effective demodulation. While most works deal with a simple scenario where the measurements ar…

eess.SP2023

Joint Channel Estimation and Turbo Equalization of Single-Carrier Systems over Time-Varying Channels

Yifan Wang, Minhao Zhang, Xingbin Tu +3

Block transmission systems have been proven successful over frequency-selective channels. For time-varying channel such as in high-speed mobile communication and underwater communi…

cs.CV2022

Information-Preserved Blending Method for Forward-Looking Sonar Mosaicing in Non-Ideal System Configuration

Jiayi Su, Xingbin Tu, Fengzhong Qu +1

Forward-Looking Sonar (FLS) has started to gain attention in the field of near-bottom close-range underwater inspection because of its high resolution and high framerate features.…

cs.CV2021★ 3 cited

iShape: A First Step Towards Irregular Shape Instance Segmentation

Lei Yang, Yan Zi Wei, Yisheng HE +4

In this paper, we introduce a brand new dataset to promote the study of instance segmentation for objects with irregular shapes. Our key observation is that though irregularly shap…