5 papers · 1 filter
A Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured Parts
Jiaxin Lu, Yongqing Liang, Huijun Han +4
Reconstructing a complete object from its parts is a fundamental problem in many scientific domains. The purpose of this article is to provide a systematic survey on this topic. Th…
AURORA: Automated Unleash of 3D Room Outlines for VR Applications
Huijun Han, Yongqing Liang, Yuanlong Zhou +3
Creating realistic VR experiences is challenging due to the labor-intensive process of accurately replicating real-world details into virtual scenes, highlighting the need for auto…
CLAP: Concave Linear APproximation for Quadratic Graph Matching
Yongqing Liang, Huijun Han, Xin Li
Solving point-wise feature correspondence in visual data is a fundamental problem in computer vision. A powerful model that addresses this challenge is to formulate it as graph mat…
Enhancing Weakly Supervised Semantic Segmentation with Multi-modal Foundation Models: An End-to-End Approach
Elham Ravanbakhsh, Cheng Niu, Yongqing Liang +2
Semantic segmentation is a core computer vision problem, but the high costs of data annotation have hindered its wide application. Weakly-Supervised Semantic Segmentation (WSSS) of…
Deep video representation learning: a survey
Elham Ravanbakhsh, Yongqing Liang, J. Ramanujam +1
This paper provides a review on representation learning for videos. We classify recent spatiotemporal feature learning methods for sequential visual data and compare their pros and…