Dr Yasir Latif

Grant-Funded Researcher (C)

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and Technology

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

Publications
Supervision
Professional Activities
Contact

Journals

Year	Citation
2025	Latif, Y., Anastasiou, P., Ng, Y., Prime, Z., Lu, T. -F., Tetlow, M., . . . Chin, T. -J. (2025). High Frequency, High Accuracy Pointing Onboard Nanosats Using Neuromorphic Event Sensing and Piezoelectric Actuation. The Journal of the Astronautical Sciences, 72(2), 23 pages. DOI
2023	Askari, H., Latif, Y., & Sun, H. (2023). MapFlow: latent transition via normalizing flow for unsupervised domain adaptation. Machine Learning, 112(8), 2953-2974. DOI Scopus2
2023	Latif, Y., Anastasiou, P., Ng, Y., Prime, Z., Lu, T. -F., Tetlow, M., . . . Chin, T. -J. (2023). High Frequency, High Accuracy Pointing onboard Nanosats using Neuromorphic Event Sensing and Piezoelectric Actuation.
2023	Jawaid, M., Elms, E., Latif, Y., & Chin, T. J. (2023). Towards Bridging the Space Domain Gap for Satellite Pose Estimation using Event Sensing. Proceedings - IEEE International Conference on Robotics and Automation, 2023-May, 11866-11873. DOI Scopus21
2021	Doan, A. -D., Latif, Y., Chin, T. -J., & Reid, I. (2021). HM⁴: hidden Markov model with memory management for visual place recognition. IEEE Robotics and Automation Letters, 6(1), 167-174. DOI Scopus4 WoS4
2021	Lassance, C., Latif, Y., Garg, R., Gripon, V., & Reid, I. (2021). Improved visual localization via graph filtering. Journal of Imaging, 7(2), 20. DOI Scopus2 WoS2
2020	Doan, A. D., Latif, Y., Chin, T. J., Liu, Y., Ch ng, S. F., Do, T. T., & Reid, I. (2020). Visual localization under appearance change: filtering approaches. Neural Computing and Applications, 33(13), 254-261. DOI Scopus4 WoS7
2020	Chng, C. K., Parra, A., Chin, T. J., & Latif, Y. (2020). Monocular Rotational Odometry with Incremental Rotation Averaging and Loop Closure. 2020 Digital Image Computing Techniques and Applications Dicta 2020, abs/2010.01872, 8 pages. DOI Scopus12 WoS7
2017	Latif, Y., Huang, G., Leonard, J., & Neira, J. (2017). Sparse optimization for robust and efficient loop closing. Robotics and Autonomous Systems, 93, 13-26. DOI Scopus11 WoS11
2016	Cadena, C., Carlone, L., Carrillo, H., Latif, Y., Scaramuzza, D., Neira, J., . . . Leonard, J. (2016). Past, present, and future of simultaneous localization and mapping: toward the robust-perception age. IEEE Transactions on Robotics, 32(6), 1309-1332. DOI Scopus3153 WoS2456
2013	Latif, Y., Cadena Lerma, C., & Neira, J. (2013). Robust loop closing over time for pose graph SLAM. International Journal of Robotics Research, 32(14), 1611-1626. DOI Scopus197 WoS154

Book Chapters

Year	Citation
2020	Carrillo, H., Latif, Y., & Castillanos, J. A. (2020). Navigation, Environment Description, and Map Building. In M. Indri, & R. Oboe (Eds.), Mechatronics and Robotics New Trends and Challenges (1 ed., pp. 105-132). Boca Raton, FL, USA: CRC Press. DOI

Conference Papers

Year	Citation
2024	Elms, E., Latif, Y., Park, T. H., & Chin, T. -J. (2024). Event-based Structure-from-Orbit. In 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (pp. 19541-19550). WA, Seattle: IEEE COMPUTER SOC. DOI Scopus2 WoS2
2024	Jawaid, M., Talak, R., Latif, Y., Carlone, L., & Chin, T. J. (2024). Test-Time Certifiable Self-Supervision to Bridge the Sim2Real Gap in Event-Based Satellite Pose Estimation. In IEEE International Conference on Intelligent Robots and Systems (pp. 4534-4541). Abu Dhabi, United Arab Emirates: IEEE. DOI
2023	Ng, Y., Latif, Y., Chin, T. -J., & Mahony, R. (2023). Asynchronous Kalman Filter for Event-Based Star Tracking. In L. Karlinsky, T. Michaeli, & K. Nishino (Eds.), Proceedings of Computer Vision ECCV Vol. 13801 LNCS (pp. 66-79). Tel Aviv, Israel: Springer Nature Switzerland. DOI Scopus8
2023	McLeod, S., Meoni, G., Izzo, D., Mergy, A., Liu, D., Latif, Y., . . . Chin, T. -J. (2023). Globally Optimal Event-Based Divergence Estimation for Ventral Landing. In L. Karlinsky, T. Michaeli, & K. Nishino (Eds.), Proceedings, Part I Workshops of the 17th European Conference on Computer Vision (ECCV 2022), as published in Lecture Notes in Computer Science Vol. 13801 (pp. 3-20). Cham, Switzerland: Springer. DOI Scopus6
2022	Liu, D., Parra, A., Latif, Y., Chen, B., Chin, T. J., & Reid, I. (2022). Asynchronous Optimisation for Event-based Visual Odometry. In Proceedings - IEEE International Conference on Robotics and Automation (pp. 9432-9438). Philadelphia, PA, USA: IEEE. DOI Scopus9 WoS5
2021	Doan, D., Turmukhambetov, D., Latif, Y., Chin, T. J., & Bae, S. (2021). Learning to Predict Repeatability of Interest Points. In Proceedings - IEEE International Conference on Robotics and Automation Vol. 2021-May (pp. 10294-10301). online: IEEE. DOI Scopus3 WoS2
2020	Latif, Y., Doan, A. D., Chin, T. J., & Reid, I. (2020). SPRINT: Subgraph Place Recognition for INtelligent Transportation. In Proceedings of the 2020 IEEE International Conference on Robotics and Automation (pp. 5408-5414). online: IEEE. DOI Scopus3 WoS3
2020	Chng, C. K., Parra Bustos, A., Chin, T. J., & Latif, Y. (2020). Monocular Rotational Odometry with Incremental Rotation Averaging and Loop Closure.. In Proceedings of the 2020 Digital Image Computing Techniques and Applications (DICTA) (pp. 1-8). online: IEEE.
2019	Hosseinzadeh, M., Latif, Y., Pham, T., Suenderhauf, N., & Reid, I. (2019). Structure aware SLAM using quadrics and planes. In Proceedings of the 14th Asian Conference on Computer Vision (ACCV 2018), as published in Lecture Notes in Computer Science Vol. 11363 (pp. 410-426). Switzerlaned: Springer. DOI Scopus43 WoS38
2019	Hosseinzadeh, M., Li, K., Latif, Y., & Reid, I. (2019). Real-time monocular object-model aware sparse SLAM. In Proceedings of the 2019 IEEE International Conference on Robotics and Automation (ICRA) Vol. 2019-May (pp. 7123-7129). Piscataway, NJ.: IEEE. DOI Scopus63 WoS55
2019	Doan, A. -D., Latif, Y., Chin, T., Liu, Y., Ch'ng, S., Do, T. -T., & Reid, I. D. (2019). Visual Localization under Appearance Change: A Filtering Approach.. In Proceedings of 2019 Digital Image Computing Techniques and Applications (DICTA) (pp. 254-261). online: IEEE. DOI Scopus3
2019	Weerasekera, C. S., Garg, R., Latif, Y., & Reid, I. (2019). Learning deeply supervised good features to match for dense monocular reconstruction. In Proceedings of the 14th Asian Conference on Computer Vision (ACCV 2018), as published in Lecture Notes in Computer Science Vol. 11365 (pp. 609-624). Switzerland: Springer. DOI Scopus3 WoS3
2019	Doan, D., Latif, Y., Chin, T. J., Liu, Y., Do, T. T., & Reid, I. (2019). Scalable place recognition under appearance change for autonomous driving. In Proceedings of the IEEE International Conference on Computer Vision Vol. 2019-October (pp. 9318-9327). online: IEEE. DOI Scopus60 WoS57
2018	Latif, Y., Garg, R., Milford, M., & Reid, I. (2018). Addressing challenging place recognition tasks using generative adversarial networks. In Proceedings of the 2018 IEEE International Conference on Robotics and Automation (ICRA) (pp. 2349-2355). Piscataway, NJ.: IEEE. DOI Scopus32 WoS26
2017	Hosseinzadeh, M., Latif, Y., & Reid, I. (2017). Sparse point-plane SLAM. In Australasian Conference on Robotics and Automation, ACRA Vol. 2017-December (pp. 148-155). online: ARAA. Scopus8
2017	Sünderhauf, N., Pham, T., Latif, Y., Milford, M., & Reid, I. (2017). Meaningful maps with object-oriented semantic mapping. In IEEE Vol. 2017-September (pp. 5079-5085). Vancouver, Canada: IEEE. DOI Scopus207 WoS151
2017	Weerasekera, C., Latif, Y., Garg, R., & Reid, I. (2017). Dense monocular reconstruction using surface normals. In 2017 IEEE International Conference on Robotics and Automation (ICRA) (pp. 2524-2531). online: IEEE. DOI Scopus23
2017	Kim, J., Latif, Y., & Reid, I. (2017). RRD-SLAM: Radial-distorted rolling-shutter direct SLAM. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA2017) (pp. 5148-5154). Singapore: IEEE. DOI Scopus8
2016	Cadena, C., Latif, Y., & Reid, I. (2016). Measuring the performance of single image depth estimation methods. In Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems Vol. 2016-November (pp. 4150-4157). Daejeon, South Korea: IEEE. DOI Scopus16 WoS12
2015	Carrillo, H., Latif, Y., Rodriguez-Arevalo, M., Neira, J., & Castellanos, J. (2015). On the monotonicity of optimality criteria during exploration in active SLAM. In Proceedings of the 2015 IEEE International Conference on Robotics and Automation Vol. 2015-June (pp. 1476-1483). Seattle, WA, USA: IEEE. DOI Scopus26 WoS22
2015	Salas, M., Latif, Y., Reid, I., & Montiel, J. (2015). Trajectory alignment and evaluation in SLAM: Horn’s method vs alignment on the manifold. In Proceedings of Robotics: Science and Systems Workshop: The problem of mobile sensors (pp. 1-3). Rome, Italy: Robotics: Science and Systems.
2015	Pham, T., Reid, I., Latif, Y., & Gould, S. (2015). Hierarchical higher-order regression forest fields: an application to 3D indoor scene labelling. In Proceedings of the 2015 IEEE International Conference on Computer Vision Vol. 2015 International Conference on Computer Vision, ICCV 2015 (pp. 2246-2254). Santiago, CHILE: IEEE. DOI Scopus23 WoS18
2014	Latif, Y., Huang, G., Leonard, J., & Neira, J. (2014). An Online Sparsity-Cognizant Loop-Closure Algorithm for Visual Navigation. In Robotics: Science and Systems (pp. 1-9). Online: MIT Press. DOI Scopus32
2014	Carrillo, H., Latif, Y., Neira, J., & Castellanos, J. A. (2014). Towards measuring uncertainty in volumetric signed distance function representations for active SLAM. In Robotics: Science and Systems Workshop on Multiview Geometry in Robotics (MVGRO).
2014	Carrillo, H., Latif, Y., Neira, J., & Castellanos, J. (2014). Place categorization using sparse and redundant representations. In Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 4950-4957). Chicago, IL, USA: IEEE. DOI Scopus10 WoS8
2014	Latif, Y., Cadena, C., & Neira, J. (2014). Robust Graph SLAM Back-ends: A Comparative Analysis. In IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 2683-2690). online: IEEE. DOI Scopus32 WoS25
2013	Latif, Y., & Neira, J. (2013). Go straight, turn right: pose graph reduction through trajectory Segmentation using line segments. In 2013 European Conference on Mobile Robots (ECMR 2013) (pp. 144-149). Barcelona, Spain: IEEE. DOI Scopus5 WoS1
2013	Schweiger, F., Schroth, G., Huitl, R., Latif, Y., & Steinbach, E. (2013). Speeded-up SURF: Design of an efficient multiscale feature detector. In Proceedings of the 2013 20th IEEE International Conference on Image Processing (pp. 3475-3478). USA: IEEE. DOI Scopus4 WoS3
2013	Latif, Y., Cadena Lerma, C., & Neira, J. (2013). Detecting the correct graph structure in pose graph SLAM. In 1st Workshop on Robust and Multimodal Inference in Factor Graphs (pp. 1-7). Online: ICRA.
2012	Latif, Y., Cadena Lerma, C., & Neira, J. (2012). Robust loop closing over time. In N. Roy, P. Newman, & S. Srinivasa (Eds.), Proceedings of Robotics: Science and Systems VIII Vol. 8 (pp. 233-240). Online: MIT Press. DOI Scopus11
2012	Latif, Y., Cadena Lerma, C., & Neira, J. (2012). Realizing, reversing, recovering: Incremental robust loop closing over time using the iRRR algorithm. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2012 (pp. 4211-4217). Online: IEEE. DOI Scopus26 WoS22
2012	Carrillo, H., Latif, Y., Neira, J., & Castellanos, J. (2012). Fast minimum uncertainty search on a graph map representation. In 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 2504-2511). Vilamoura, Portugal: IEEE. DOI Scopus17 WoS13

Conference Items

Year	Citation
2014	Latif, Y., Huang, G., Leonard, J. J., & Neira, J. (2014). Applying Sparse l1-optimization to problems in robotics. Poster session presented at the meeting of ICRA 2014 Workshop on Long Term Autonomy.

Preprint

Year	Citation
2025	Pratti, L., Bagchi, S., & Latif, Y. (2025). Data and Decision Traceability for SDA TAP Lab's Prototype Battle Management System.
2025	Bagchi, S., Anastasiou, P., Tetlow, M., Chin, T. -J., & Latif, Y. (2025). Event-based Star Tracking under Spacecraft Jitter: the e-STURT Dataset.
2024	Chowdhury, A., Latif, Y., Jah, M. K., & Bagchi, S. (2024). L-DIT: A dApp for Live Detectability, Identifiability and Trackability for ASOs on the Behavioral Dynamics Blockchain.
2024	Latif, Y., Chowdhury, A., & Bagchi, S. (2024). On-chain Validation of Tracking Data Messages (TDM) Using Distributed Deep Learning on a Proof of Stake (PoS) Blockchain.

Current Higher Degree by Research Supervision (University of Adelaide)

Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
2024	Co-Supervisor	Close Proximity space domain awareness onboard satellite systems	Doctor of Philosophy	Doctorate	Full Time	Mr Ethan Elms
2023	Co-Supervisor	Neuromorphic Algorithms for Robust Fitting	Doctor of Philosophy	Doctorate	Full Time	Ms Tam nb Nguyen
2023	Co-Supervisor	Domain Adaptation for Monocular Spacecraft Pose Estimation	Doctor of Philosophy	Doctorate	Full Time	Mr Mohsi Jawaid
2022	Co-Supervisor	Event Based Cameras for Space Surveillance	Doctor of Philosophy	Doctorate	Part Time	Mr Samya Bagchi

Past Higher Degree by Research Supervision (University of Adelaide)

Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
2019 - 2021	Co-Supervisor	Manifold Optimization for Robotic Perception	Doctor of Philosophy	Doctorate	Full Time	Ms Shin Fang Ch'ng
2018 - 2022	Co-Supervisor	Scalable Life-long Visual Place Recognition	Doctor of Philosophy	Doctorate	Full Time	Mr Dzung Anh Doan

Review, Assessment, Editorial and Advice

Date Title Type Institution Country

2020 - ongoing Associate Editor IROS 2020 Conference Review University of Adelaide -

Date	Title	Type	Institution	Country
2020 - ongoing	Associate Editor IROS 2020	Conference Review	University of Adelaide	-

Position: Grant-Funded Researcher (C)
Phone: 83130282
Email: yasir.latif@adelaide.edu.au
Fax: 83134366
Campus: North Terrace
Building: Australian Institute for Machine Learning, floor G
Org Unit: Computer Science

Dr Yasir Latif

Journals

Book Chapters

Conference Papers

Conference Items

Preprint

Current Higher Degree by Research Supervision (University of Adelaide)

Past Higher Degree by Research Supervision (University of Adelaide)

Review, Assessment, Editorial and Advice

Connect With Me

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