3 citations · 3 across the 5 of their papers we have counts for
5 papers
NVAutoNet: Fast and Accurate 360 3D Visual Perception For Self Driving
Trung Pham, Mehran Maghoumi, Wanli Jiang +9
Achieving robust and real-time 3D perception is fundamental for autonomous vehicles. While most existing 3D perception methods prioritize detection accuracy, they often overlook cr…
Fast Semantic-Assisted Outlier Removal for Large-scale Point Cloud Registration
Giang Truong, Huu Le, Alvaro Parra +3
With current trends in sensors (cheaper, more volume of data) and applications (increasing affordability for new tasks, new ideas in what 3D data could be useful for); there is cor…
Maximum Consensus by Weighted Influences of Monotone Boolean Functions
Erchuan Zhang, David Suter, Ruwan Tennakoon +4
Robust model fitting is a fundamental problem in computer vision: used to pre-process raw data in the presence of outliers. Maximisation of Consensus (MaxCon) is one of the most po…
Indoor Semantic Scene Understanding using Multi-modality Fusion
Muraleekrishna Gopinathan, Giang Truong, Jumana Abu-Khalaf
Seamless Human-Robot Interaction is the ultimate goal of developing service robotic systems. For this, the robotic agents have to understand their surroundings to better complete a…
Unsupervised Learning for Robust Fitting:A Reinforcement Learning Approach
Giang Truong, Huu Le, David Suter +2
Robust model fitting is a core algorithm in a large number of computer vision applications. Solving this problem efficiently for datasets highly contaminated with outliers is, howe…