output
20032024
most citedGW190814: Gravitational Waves from the Coalescence of a 23 M Black Hole with a 2.6 M Compact Object

1.8k citations

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51 papers · 1 filter

cs.CV20237 cited

Data and Knowledge Co-driving for Cancer Subtype Classification on Multi-Scale Histopathological Slides

Bo Yu, Hechang Chen, Yunke Zhang +5

Artificial intelligence-enabled histopathological data analysis has become a valuable assistant to the pathologist. However, existing models lack representation and inference abili…

cs.CV202388 cited

Tracker Meets Night: A Transformer Enhancer for UAV Tracking

Junjie Ye, Changhong Fu, Ziang Cao +3

Most previous progress in object tracking is realized in daytime scenes with favorable illumination. State-of-the-arts can hardly carry on their superiority at night so far, thereb…

cs.CV202329 cited

Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning

Chaofan Ma, Qisen Xu, Xiangfeng Wang +4

Interactive segmentation has recently been explored to effectively and efficiently harvest high-quality segmentation masks by iteratively incorporating user hints. While iterative…

cs.CV2022

Mars Rover Localization Based on A2G Obstacle Distribution Pattern Matching

Lang Zhou, Zhitai Zhang, Hongliang Wang

Rover localization is one of the perquisites for large scale rover exploration. In NASA's Mars 2020 mission, the Ingenuity helicopter is carried together with the rover, which is c…

cs.CV2022137 cited

Computer Vision for Road Imaging and Pothole Detection: A State-of-the-Art Review of Systems and Algorithms

Nachuan Ma, Jiahe Fan, Wenshuo Wang +4

Computer vision algorithms have been prevalently utilized for 3-D road imaging and pothole detection for over two decades. Nonetheless, there is a lack of systematic survey article…

cs.CV202161 cited

Multi-Scale Feature Fusion: Learning Better Semantic Segmentation for Road Pothole Detection

Jiahe Fan, Mohammud J. Bocus, Brett Hosking +4

This paper presents a novel pothole detection approach based on single-modal semantic segmentation. It first extracts visual features from input images using a convolutional neural…