HCPM: Hierarchical Candidates Pruning for Efficient Detector-Free Matching

no code implementations • 19 Mar 2024 • Ying Chen, Yong liu, Kai Wu, Qiang Nie, Shang Xu, Huifang Ma, Bing Wang, Chengjie Wang

Deep learning-based image matching methods play a crucial role in computer vision, yet they often suffer from substantial computational demands.

Boost Image Captioning with Knowledge Reasoning

no code implementations • 2 Nov 2020 • Feicheng Huang, Zhixin Li, Haiyang Wei, Canlong Zhang, Huifang Ma

Automatically generating a human-like description for a given image is a potential research in artificial intelligence, which has attracted a great of attention recently.

Image Captioning Sentence

Weakly-Supervised Road Affordances Inference and Learning in Scenes without Traffic Signs

1 code implementation • 27 Nov 2019 • Huifang Ma, Yue Wang, Rong Xiong, Sarath Kodagoda, Qianhui Luo

Road attributes understanding is extensively researched to support vehicle's action for autonomous driving, whereas current works mainly focus on urban road nets and rely much on traffic signs.

Robotics

Towards navigation without precise localization: Weakly supervised learning of goal-directed navigation cost map

1 code implementation • 6 Jun 2019 • Huifang Ma, Yue Wang, Li Tang, Sarath Kodagoda, Rong Xiong

Autonomous navigation based on precise localization has been widely developed in both academic research and practical applications.

Robotics

3D-SSD: Learning Hierarchical Features from RGB-D Images for Amodal 3D Object Detection

no code implementations • 1 Nov 2017 • Qianhui Luo, Huifang Ma, Yue Wang, Li Tang, Rong Xiong

This paper aims at developing a faster and a more accurate solution to the amodal 3D object detection problem for indoor scenes.

3D Object Detection object-detection