20 citations · 25 across the 7 of their papers we have counts for
12 papers
ActiveRMAP: Radiance Field for Active Mapping And Planning
Huangying Zhan, Jiyang Zheng, Yi Xu +2
A high-quality 3D reconstruction of a scene from a collection of 2D images can be achieved through offline/online mapping methods. In this paper, we explore active mapping from the…
Predicting Topological Maps for Visual Navigation in Unexplored Environments
Huangying Zhan, Hamid Rezatofighi, Ian Reid
We propose a robotic learning system for autonomous exploration and navigation in unexplored environments. We are motivated by the idea that even an unseen environment may be famil…
Guided-GAN: Adversarial Representation Learning for Activity Recognition with Wearables
Alireza Abedin, Hamid Rezatofighi, Damith C. Ranasinghe
Human activity recognition (HAR) is an important research field in ubiquitous computing where the acquisition of large-scale labeled sensor data is tedious, labor-intensive and tim…
ODAM: Object Detection, Association, and Mapping using Posed RGB Video
Kejie Li, Daniel DeTone, Steven Chen +6
Localizing objects and estimating their extent in 3D is an important step towards high-level 3D scene understanding, which has many applications in Augmented Reality and Robotics.…
MOLTR: Multiple Object Localisation, Tracking, and Reconstruction from Monocular RGB Videos
Kejie Li, Hamid Rezatofighi, Ian Reid
Semantic aware reconstruction is more advantageous than geometric-only reconstruction for future robotic and AR/VR applications because it represents not only where things are, but…
Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos
Mahsa Ehsanpour, Alireza Abedin, Fatemeh Saleh +3
The state-of-the art solutions for human activity understanding from a video stream formulate the task as a spatio-temporal problem which requires joint localization of all individ…