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ORCIDRamanpreet Singh Pahwa
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Books and Theses
- 2017
[b1]Ramanpreet Singh Pahwa:
3D sensing and mapping using mobile color and depth sensors. University of Illinois Urbana-Champaign, USA, 2017
Journal Articles
- 2023
- [j4]Jie Wang
, Richard Chang, Ziyuan Zhao, Ramanpreet Singh Pahwa:
Robust Detection, Segmentation, and Metrology of High Bandwidth Memory 3D Scans Using an Improved Semi-Supervised Deep Learning Approach. Sensors 23(12): 5470 (2023) - [j3]Richard Chang, Wang Jie, Namrata Thakur, Ramanpreet Singh Pahwa:
AI-based 3D Metrology and Defect Detection of HBMs in XRM Scans. World Sci. Annu. Rev. Artif. Intell. 1: 2440002:1-2440002:31 (2023) - 2018
- [j2]Ramanpreet Singh Pahwa, Jiangbo Lu, Nianjuan Jiang, Tian-Tsong Ng, Minh N. Do:
Locating 3D Object Proposals: A Depth-Based Online Approach. IEEE Trans. Circuits Syst. Video Technol. 28(3): 626-639 (2018) - 2012
- [j1]Tian-Tsong Ng, Ramanpreet Singh Pahwa, Jiamin Bai, Kar-Han Tan, Ravi Ramamoorthi:
From the Rendering Equation to Stratified Light Transport Inversion. Int. J. Comput. Vis. 96(2): 235-251 (2012)
Conference and Workshop Papers
- 2022
- [c14]Ziyuan Zhao, Mingxi Xu, Peisheng Qian, Ramanpreet Singh Pahwa, Richard Chang:
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection. BMVC 2022: 916 - [c13]Tin Lay Nwe, Ramanpreet Singh Pahwa, Richard Chang, Oo Zaw Min, Jie Wang, Yiqun Li, Dongyun Lin, Shitala Prasad, Sheng Dong:
On the Use of Component Structural Characteristics for Voxel Segmentation in Semicon 3D Images. ICASSP 2022: 2694-2698 - [c12]Lile Cai, Ramanpreet Singh Pahwa, Xun Xu, Jie Wang, Richard Chang, Lining Zhang, Chuan-Sheng Foo:
Exploring Active Learning for Semiconductor Defect Segmentation. ICIP 2022: 1796-1800 - 2021
- [c11]Ramanpreet Singh Pahwa, Richard Chang, Jie Wang, Sankeerthana Satini, Chandrashekar Viswanathan, Yiming Du, Vernica Jain, Tai Pang Chen, Kong-Wah Wan:
A Survey on Object Detection Performance with Different Data Distributions. ICSR 2021: 553-563 - 2020
- [c10]Tin Lay Nwe, Oo Zaw Min, Saisubramaniam Gopalakrishnan, Dongyun Lin, Shitala Prasad, Sheng Dong, Yiqun Li, Ramanpreet Singh Pahwa:
Improving 3D Brain Tumor Segmentation With Predict-Refine Mechanism Using Saliency And Feature Maps. ICIP 2020: 2671-2675 - [c9]Quang-Hieu Pham, Pierre Sevestre, Ramanpreet Singh Pahwa, Huijing Zhan, Chun Ho Pang, Yuda Chen, Armin Mustafa, Vijay Chandrasekhar, Jie Lin:
A*3D Dataset: Towards Autonomous Driving in Challenging Environments. ICRA 2020: 2267-2273 - 2019
- [c8]Ramanpreet Singh Pahwa, Kennard Yanting Chan, Jiamin Bai, Vincensius Billy Saputra, Minh N. Do, Shaohui Foong:
Dense 3D Reconstruction for Visual Tunnel Inspection using Unmanned Aerial Vehicle. IROS 2019: 7025-7032 - [c7]Ramanpreet Singh Pahwa, Vijay Ramaseshan Chandrasekhar, Jin Chao, Jestine Paul, Yiqun Li, Ma Tin Lay Nwe, Shudong Xie, Ashish James, Arulmurugan Ambikapathi, Zeng Zeng:
FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision. ITSC 2019: 559-566 - 2018
- [c6]Ramanpreet Singh Pahwa, Wei Kiat Leong, Shaohui Foong, Karianto Leman, Minh N. Do:
Feature-less Stitching of Cylindrical Tunnel. ICIS 2018: 502-507 - 2017
- [c5]Ramanpreet Singh Pahwa, Tian-Tsong Ng, Minh N. Do:
Tracking objects using 3D object proposals. APSIPA 2017: 1657-1660 - 2014
- [c4]Ramanpreet Singh Pahwa, Minh N. Do, Tian-Tsong Ng, Binh-Son Hua:
Calibration of depth cameras using denoised depth images. ICIP 2014: 3459-3463 - 2011
- [c3]Xinqi Chu, Tian-Tsong Ng, Ramanpreet Singh Pahwa, Tony Q. S. Quek, Thomas S. Huang:
Compressive Inverse Light Transport. BMVC 2011: 1-11 - [c2]Jiangbo Lu, Dongbo Min, Ramanpreet Singh Pahwa, Minh N. Do:
A revisit to MRF-based depth map super-resolution and enhancement. ICASSP 2011: 985-988 - 2009
- [c1]Tian-Tsong Ng, Ramanpreet Singh Pahwa, Jiamin Bai, Tony Q. S. Quek, Kar-Han Tan:
Radiometric compensation using stratified inverses. ICCV 2009: 1889-1894
Informal and Other Publications
- 2022
- [i9]Ziyuan Zhao, Mingxi Xu, Peisheng Qian, Ramanpreet Singh Pahwa, Richard Chang:
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection. CoRR abs/2212.02057 (2022) - 2021
- [i8]Ramanpreet Singh Pahwa, Soon Wee Ho, Ren Qin, Richard Chang, Oo Zaw Min, Jie Wang, Vempati Srinivasa Rao, Tin Lay Nwe, Yanjing Yang, Jens Timo Neumann, Ramani Pichumani, Thomas Gregorich:
Machine-learning based methodologies for 3d x-ray measurement, characterization and optimization for buried structures in advanced ic packages. CoRR abs/2103.04838 (2021) - 2019
- [i7]Quang-Hieu Pham, Pierre Sevestre, Ramanpreet Singh Pahwa, Huijing Zhan, Chun Ho Pang, Yuda Chen, Armin Mustafa, Vijay Chandrasekhar, Jie Lin:
A*3D Dataset: Towards Autonomous Driving in Challenging Environments. CoRR abs/1909.07541 (2019) - [i6]Ramanpreet Singh Pahwa, Kennard Yanting Chan, Jiamin Bai, Vincensius Billy Saputra, Minh N. Do, Shaohui Foong:
Dense 3D Reconstruction for Visual Tunnel Inspection using Unmanned Aerial Vehicle. CoRR abs/1911.03603 (2019) - [i5]Ramanpreet Singh Pahwa, Jin Chao, Jestine Paul, Yiqun Li, Ma Tin Lay Nwe, Shudong Xie, Ashish James, Arulmurugan Ambikapathi, Zeng Zeng, Vijay Ramaseshan Chandrasekhar:
FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision. CoRR abs/1912.04219 (2019) - 2018
- [i4]Ramanpreet Singh Pahwa, Wei Kiat Leong, Shaohui Foong, Karianto Leman, Minh N. Do:
Feature-less Stitching of Cylindrical Tunnel. CoRR abs/1806.10278 (2018) - 2017
- [i3]Ramanpreet Singh Pahwa, Minh N. Do, Tian-Tsong Ng, Binh-Son Hua:
Calibration of depth cameras using denoised depth images. CoRR abs/1709.02635 (2017) - [i2]Ramanpreet Singh Pahwa, Jiangbo Lu, Nianjuan Jiang, Tian-Tsong Ng, Minh N. Do:
Locating 3D Object Proposals: A Depth-Based Online Approach. CoRR abs/1709.02653 (2017) - [i1]Ramanpreet Singh Pahwa, Tian-Tsong Ng, Minh N. Do:
Tracking objects using 3D object proposals. CoRR abs/1712.06780 (2017)
Coauthor Index
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