Indoor Wall Frame Installation
Indoor wall frame installation is being revolutionized by the integration of robotics and advanced computer vision techniques, aiming to automate and optimize this construction task. Current research focuses on developing robust methods for scene understanding and robot task planning using 4D BIM models, often incorporating transformer-based architectures and algorithms for efficient feature extraction, object detection, and motion estimation from both image and event-based camera data. This work holds significant implications for improving construction efficiency, safety, and reducing labor costs, while also advancing the broader fields of computer vision, robotics, and construction automation.
72papers
Papers
March 4, 2025
Multi-Step Deep Koopman Network (MDK-Net) for Vehicle Control in Frenet Frame
Mohammad Abtahi, Mahdis Rabbani, Armin Abdolmohammadi, Shima NazariDavisCrystalFramer: Rethinking the Role of Frames for SE(3)-Invariant Crystal Structure Modeling
Yusei Ito, Tatsunori Taniai, Ryo Igarashi, Yoshitaka Ushiku, Kanta OnoOMRON SINIC X Corporation●Osaka University
February 25, 2025
February 18, 2025
January 9, 2025
December 12, 2024
December 2, 2024
November 27, 2024
EventCrab: Harnessing Frame and Point Synergy for Event-based Action Recognition and Beyond
Meiqi Cao, Xiangbo Shu, Jiachao Zhang, Rui Yan, Zechao Li, Jinhui TangHDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events
Dianze Li, Jianing Li, Xu Liu, Zhaokun Zhou, Xiaopeng Fan, Yonghong Tian