Publications
Please find the full list of my papers on Google Scholar.
Selected Papers
2024
Recordkeeping in Voice-based Remote Community Engagement
M. Islam, D. Richardson, M. Saha, D. Varghese, T. Bartindale, P. Saha, Muhamad Risqi U. Saputra, and P. Olivier
CHI Conference on Human Factors in Computing Systems (CHI), 2023. [CORE A*]Increasing mine waste will induce land cover change that results in ecological degradation and human displacement
J. Owen, D. Kemp, A. Lechner, M. Ang, E. Lebre, G. Mudd, M. Macklin, Muhamad Risqi U. Saputra, T. Witra, and A. Bebbington
Journal of Environmental Management, 351, 2024. [Q1, IF=8]
2023
RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Weather
J. Wang, Muhamad Risqi U. Saputra, C. X. Lu, N. Trigoni, and A. Markham
IEEE/RSJ International Conference on Intelligence Robots and Systems (IROS), 2023. [CORE A]Systematic review of GIS and remote sensing applications for assessing the socioeconomic impacts of mining
M. Ang, J. Owen, C. Gibbins, E. Lebre, D. Kemp, Muhamad Risqi U. Saputra, J. Everingham, and A. Lechner
The Journal of Environment and Development, 32 (3), 2023. [Q1, IF=2.3]
2022
OdomBeyondVision: An Indoor Multi-modal Multi-platform Odometry Dataset Beyond the Visible Spectrum
P. Li, K. Cai, Muhamad Risqi U. Saputra, Z. Dai, and C. X. Lu
IEEE/RSJ International Conference on Intelligence Robots and Systems (IROS), 2022. [CORE A]SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation
Y. Almalioglu, M. Turan, A. E. Sari, Muhamad Risqi U. Saputra, P. P. B. D. Gusmao, A. Markham, and N. Trigoni
Neural Networks, 2022. [Q1, IF=8.05]
2021
Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks
Muhamad Risqi U. Saputra, C. X. Lu, P. P. B. D. Gusmao, B. Wang, A. Markham, and N. Trigoni
IEEE Transactions on Robotics (T-RO), 2021. [Q1, IF=9.4]VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization
K. Zhou, C. Chen, B. Wang, Muhamad Risqi U. Saputra, N. Trigoni, and A. Markham
AAAI Conference on Artificial Intelligence (AAAI), 2021. [CORE A*, AR: 21% from 7911 submissions]Cut, Distil and Encode (CDE): Split Cloud-Edge Deep Inference
M. Sbai, Muhamad Risqi U. Saputra, A. Markham, and N. Trigoni
IEEE International Conference on Sensing, Communication and Networking (SECON), 2021. [CORE B]
2020
- milliEgo: Single-chip mmWave Radar Aided Egomotion Estimation via Deep Sensor Fusion
C. X. Lu, Muhamad Risqi U. Saputra, P. Zhao, Y. Almalioglu, P. P. B. de Gusmao, C. Chen, K. Sun, N. Trigoni, and A. Markham
ACM Conference on Embedded Networked Sensor Systems (SenSys), 2020. [CORE A*, AR: 20% from 213 submissions] - DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination
Muhamad Risqi U. Saputra, P. P. B. D. Gusmao, C. X. Lu, Y. Almalioglu, S. Rosa, C. Chen, J. Wahlstrom, W. Wang, A. Markham, and N. Trigoni
IEEE Robotics and Automation Letters (RA-L), 5 (2) 2020, and was presented in IEEE ICRA 2020. [Q1, IF=4.6]
2019
- Distilling Knowledge From a Deep Pose Regressor Network
Muhamad Risqi U. Saputra, P. P. B. D. Gusmao, Y. Almalioglu, A. Markham, and N. Trigoni
IEEE/CVF International Conference on Computer Vision (ICCV), 2019. [CORE A*, AR: 25% from 4303 submissions] - DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network
W. Wang, Muhamad Risqi U. Saputra, P. Zhao, P. P. B. D. Gusmao, B. Yang, C. Chen, A. Markham, and N. Trigoni
IEEE/RSJ International Conference on Intelligence Robots and Systems (IROS), 2019. [CORE A] - GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks
Y. Almalioglu, Muhamad Risqi U. Saputra, P. P. B. D. Gusmao, A. Markham, and N. Trigoni
IEEE International Conference on Robotics and Automation (ICRA), 2019. [CORE B] - Learning Monocular Visual Odometry through Geometry-Aware Curriculum Learning
Muhamad Risqi U. Saputra, P. P. B. D. Gusmao, Y. Almalioglu, A. Markham, and N. Trigoni
IEEE International Conference on Robotics and Automation (ICRA), 2019. [CORE B]
2018
- Visual SLAM and Structure from Motion in Dynamic Environments: A Survey
Muhamad Risqi U. Saputra, A. Markham, and N. Trigoni
ACM Computing Surveys (CSUR), 51 (2), 2018. [Q1, IF=23.8]
2014
- Obstacle Avoidance for Visually Impaired Using Auto-Adaptive Thresholding on Kinect’s Depth Image
Muhamad Risqi U. Saputra, Widyawan, and P. I. Santosa
IEEE International Conference on Ubiquitous Intelligence and Computing (UIC), 2014. [CORE B]
The journal rank (Q4-Q1) and the conference rank (C-A*) presented above are retrived from ScimagoJR and CORE respectively. Note that a higher conference rank does not always indicate a higher impact factor (e.g., ICRA is widely regarded as the most impactful publication venue in the field of robotics although its CORE Rank is lower than IROS). Please consult CORE website for more detailed assessment methods.