Radiometric compensation using stratified inverses. - Tian-Tsong Ng; Ramanpreet Singh Pahwa; Jiamin Bai; Tony Q. S. Quek; Kar-Han Tan (ICCV, 2009)

Compressive Inverse Light Transport. - Xinqi Chu; Tian-Tsong Ng; Ramanpreet Singh Pahwa; Tony Q. S. Quek; Thomas S. Huang (BMVC, 2011)

A revisit to MRF-based depth map super-resolution and enhancement. - Jiangbo Lu; Dongbo Min; Ramanpreet Singh Pahwa; Minh N. Do (ICASSP, 2011)

From the Rendering Equation to Stratified Light Transport Inversion. - Tian-Tsong Ng; Ramanpreet Singh Pahwa; Jiamin Bai; Kar-Han Tan; Ravi Ramamoorthi (Int. J. Comput. Vis., 2012)

Calibration of depth cameras using denoised depth images. - Ramanpreet Singh Pahwa; Minh N. Do; Tian-Tsong Ng; Binh-Son Hua (ICIP, 2014)

Tracking objects using 3D object proposals. - Ramanpreet Singh Pahwa; Tian-Tsong Ng; Minh N. Do (APSIPA, 2017)

3D sensing and mapping using mobile color and depth sensors - Ramanpreet Singh Pahwa (2017)

Feature-less Stitching of Cylindrical Tunnel. - Ramanpreet Singh Pahwa; Wei Kiat Leong; Shaohui Foong; Karianto Leman; Minh N. Do (ICIS, 2018)

Locating 3D Object Proposals: A Depth-Based Online Approach. - Ramanpreet Singh Pahwa; Jiangbo Lu; Nianjuan Jiang; Tian-Tsong Ng; Minh N. Do (IEEE Trans. Circuits Syst. Video Technol., 2018)

Dense 3D Reconstruction for Visual Tunnel Inspection using Unmanned Aerial Vehicle. - Ramanpreet Singh Pahwa; Kennard Yanting Chan; Jiamin Bai; Vincensius Billy Saputra; Minh N. Do; Shaohui Foong (IROS, 2019)

FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision. - Ramanpreet Singh Pahwa; Vijay Ramaseshan Chandrasekhar; Jin Chao; Jestine Paul; Yiqun Li; Ma Tin Lay Nwe; Shudong Xie; Ashish James; Arulmurugan Ambikapathi; Zeng Zeng (ITSC, 2019)

Improving 3D Brain Tumor Segmentation With Predict-Refine Mechanism Using Saliency And Feature Maps. - Tin Lay Nwe; Oo Zaw Min; Saisubramaniam Gopalakrishnan; Dongyun Lin; Shitala Prasad; Sheng Dong; Yiqun Li; Ramanpreet Singh Pahwa (ICIP, 2020)

A*3D Dataset: Towards Autonomous Driving in Challenging Environments. - Quang-Hieu Pham; Pierre Sevestre; Ramanpreet Singh Pahwa; Huijing Zhan; Chun Ho Pang; Yuda Chen; Armin Mustafa; Vijay Chandrasekhar 001; Jie Lin 001 (ICRA, 2020)

A Survey on Object Detection Performance with Different Data Distributions. - Ramanpreet Singh Pahwa; Richard Chang 002; Jie Wang 042; Sankeerthana Satini; Chandrashekar Viswanathan; Yiming Du; Vernica Jain; Tai Pang Chen; Kong-Wah Wan (ICSR, 2021)

Machine-learning based methodologies for 3d x-ray measurement, characterization and optimization for buried structures in advanced ic packages. - Ramanpreet Singh Pahwa; Soon Wee Ho; Ren Qin; Richard Chang 002; Oo Zaw Min; Jie Wang 042; Vempati Srinivasa Rao; Tin Lay Nwe; Yanjing Yang; Jens Timo Neumann; Ramani Pichumani; Thomas Gregorich (CoRR, 2021)

DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection. - Ziyuan Zhao; Mingxi Xu; Peisheng Qian; Ramanpreet Singh Pahwa; Richard Chang 002 (BMVC, 2022)

On the Use of Component Structural Characteristics for Voxel Segmentation in Semicon 3D Images. - Tin Lay Nwe; Ramanpreet Singh Pahwa; Richard Chang 002; Oo Zaw Min; Jie Wang 042; Yiqun Li; Dongyun Lin; Shitala Prasad; Sheng Dong (ICASSP, 2022)

Exploring Active Learning for Semiconductor Defect Segmentation. - Lile Cai; Ramanpreet Singh Pahwa; Xun Xu 002; Jie Wang 042; Richard Chang 002; Lining Zhang; Chuan-Sheng Foo (ICIP, 2022)

Robust Detection, Segmentation, and Metrology of High Bandwidth Memory 3D Scans Using an Improved Semi-Supervised Deep Learning Approach. - Jie Wang 042; Richard Chang 002; Ziyuan Zhao; Ramanpreet Singh Pahwa (Sensors, 2023)

AI-based 3D Metrology and Defect Detection of HBMs in XRM Scans. - Richard Chang 002; Wang Jie; Namrata Thakur; Ramanpreet Singh Pahwa (World Sci. Annu. Rev. Artif. Intell., 2024)