no code implementations • 5 Dec 2022 • Ziyuan Zhao, Mingxi Xu, Peisheng Qian, Ramanpreet Singh Pahwa, Richard Chang
Deep learning has achieved notable success in 3D object detection with the advent of large-scale point cloud datasets.
no code implementations • 9 Nov 2019 • Ramanpreet Singh Pahwa, Jin Chao, Jestine Paul, Yiqun Li, Ma Tin Lay Nwe, Shudong Xie, Ashish James, ArulMurugan Ambikapathi, Zeng Zeng, Vijay Ramaseshan Chandrasekhar
In this paper, a multi-phase deep learning based technique is proposed to perform accurate fault detection of rail-valves.
no code implementations • 9 Nov 2019 • Ramanpreet Singh Pahwa, Kennard Yanting Chan, Jiamin Bai, Vincensius Billy Saputra, Minh N. Do, Shaohui Foong
In this work, we design a UAV with a single rotating camera to accomplish the task.
1 code implementation • 17 Sep 2019 • Quang-Hieu Pham, Pierre Sevestre, Ramanpreet Singh Pahwa, Huijing Zhan, Chun Ho Pang, Yuda Chen, Armin Mustafa, Vijay Chandrasekhar, Jie Lin
With the increasing global popularity of self-driving cars, there is an immediate need for challenging real-world datasets for benchmarking and training various computer vision tasks such as 3D object detection.
no code implementations • 27 Jun 2018 • Ramanpreet Singh Pahwa, Wei Kiat Leong, Shaohui Foong, Karianto Leman, Minh N. Do
Traditional image stitching algorithms use transforms such as homography to combine different views of a scene.
no code implementations • 19 Dec 2017 • Ramanpreet Singh Pahwa, Tian Tsong Ng, Minh N. Do
3D object proposals, quickly detected regions in a 3D scene that likely contain an object of interest, are an effective approach to improve the computational efficiency and accuracy of the object detection framework.
no code implementations • 8 Sep 2017 • Ramanpreet Singh Pahwa, Minh N. Do, Tian Tsong Ng, Binh-Son Hua
Depth sensing devices have created various new applications in scientific and commercial research with the advent of Microsoft Kinect and PMD (Photon Mixing Device) cameras.
no code implementations • 8 Sep 2017 • Ramanpreet Singh Pahwa, Jiangbo Lu, Nianjuan Jiang, Tian Tsong Ng, Minh N. Do
Using efficient but robust registration enables us to combine multiple frames of a scene in near real time and generate 3D bounding boxes for potential 3D regions of interest.