Simon Lucey

Professor Simon Lucey

Director

Australian Institute for Machine Learning - Operations

Division of Research and Innovation

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


Simon Lucey Ph.D. is the Director of the Australian Institute for Machine Learning (AIML) and a professor in the School of Computer Science (SCS), at the University of Adelaide. Prior to this he was an associate research professor at Carnegie Mellon University's Robotics Institute (RI) in Pittsburgh USA; where he spent over 10 years as an academic. He was also Principal Research Scientist at the autonomous vehicle company Argo AI from 2017-2022. He has received various career awards, including an Australian Research Council Future Fellowship (2009-2013). Simon’s research interests span computer vision, machine learning, and robotics. He enjoys drawing inspiration from AI researchers of the past to attempt to unlock computational and mathematic models that underlie the processes of visual perception. He has published more than 300 publications and has over 17,000 citations with an h-index of 58.

  • Journals

    Year Citation
    2024 Chng, S. -F., Saratchandran, H., & Lucey, S. (2024). Preconditioners for the Stochastic Training of Implicit Neural Representations.. CoRR, abs/2402.08784.
    2024 Saratchandran, H., Ramasinghe, S., Shevchenko, V., Long, A., & Lucey, S. (2024). A Sampling Theory Perspective on Activations for Implicit Neural Representations.. CoRR, abs/2402.05427.
    2024 Saratchandran, H., Chng, S. -F., & Lucey, S. (2024). Architectural Strategies for the optimization of Physics-Informed Neural Networks.. CoRR, abs/2402.02711.
    2024 Saratchandran, H., Chng, S. -F., & Lucey, S. (2024). Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate Networks.. CoRR, abs/2402.04783.
    2024 Ji, Y., Saratchandran, H., Gordon, C., Zhang, Z., & Lucey, S. (2024). Sine Activated Low-Rank Matrices for Parameter Efficient Learning.. CoRR, abs/2403.19243.
    2023 MacDonald, L. E., Valmadre, J., & Lucey, S. (2023). On progressive sharpening, flat minima and generalisation.
    2023 Zheng, J., Li, X., Ramasinghe, S., & Lucey, S. (2023). Robust Point Cloud Processing through Positional Embedding.
    2023 Murdock, C., Cazenavette, G., & Lucey, S. (2023). Reframing Neural Networks: Deep Structure in Overcomplete Representations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(1), 964-979.
    DOI Scopus1
    2023 Ramasinghe, S., Saratchandran, H., Shevchenko, V., & Lucey, S. (2023). On the effectiveness of neural priors in modeling dynamical systems.. CoRR, abs/2303.05728.
    2023 Wang, C., MacDonald, L. E., Jeni, L. A., & Lucey, S. (2023). Flow Supervision for Deformable NeRF. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2023-June, 21128-21137.
    DOI Scopus1
    2023 Gordon, C., Chng, S. F., MacDonald, L., & Lucey, S. (2023). On Quantizing Implicit Neural Representations. Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023, 341-350.
    DOI Scopus4
    2022 Ramasinghe, S., MacDonald, L. E., Farazi, M. R., Saratchandran, H., & Lucey, S. (2022). How You Start Matters for Generalization.. CoRR, abs/2206.08558.
    2021 Kong, C., & Lucey, S. (2021). Deep Non-Rigid Structure from Motion with Missing Data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(12), 4365-4377.
    DOI Scopus6
    2019 Sarode, V., Li, X., Goforth, H., Aoki, Y., Srivatsan, R. A., Lucey, S., & Choset, H. (2019). PCRNet: Point Cloud Registration Network using PointNet Encoding.
    2019 Sarode, V., Li, X., Goforth, H., Aoki, Y., Dhagat, A., Srivatsan, R. A., . . . Choset, H. (2019). One Framework to Register Them All: PointNet Encoding for Point Cloud
    Alignment.
    2017 Alismail, H., Browning, B., & Lucey, S. (2017). Photometric bundle adjustment for vision-based SLAM. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10114 LNCS, 324-341.
    DOI Scopus34
    2017 Alismail, H., Browning, B., & Lucey, S. (2017). Enhancing direct camera tracking with dense feature descriptors. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10114 LNCS, 535-551.
    DOI Scopus2
    2017 Alismail, H., Kaess, M., Browning, B., & Lucey, S. (2017). Direct Visual Odometry in Low Light Using Binary Descriptors. IEEE Robotics and Automation Letters, 2(2), 444-451.
    DOI Scopus56
    2016 Shen, Y., Hu, W., Yang, M., Liu, J., Wei, B., Lucey, S., & Chou, C. T. (2016). Real-time and robust compressive background subtraction for embedded camera networks. IEEE Transactions on Mobile Computing, 15(2), 406-418.
    DOI Scopus38 WoS28
    2015 Zhu, Y., & Lucey, S. (2015). Convolutional sparse coding for trajectory reconstruction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(3), 529-540.
    DOI Scopus88 WoS68 Europe PMC5
    2013 Lucey, S., & Ashraf, A. B. (2013). Nearest neighbor classifier generalization through spatially constrained filters. Pattern Recognition, 46(1), 325-331.
    DOI Scopus5 WoS5
    2013 Bennetts, R. J., Kim, J., Burke, D., Brooks, K. R., Lucey, S., Saragih, J., & Robbins, R. A. (2013). The movement advantage in famous and unfamiliar faces: A comparison of point-light displays and shape-normalised avatar stimuli. Perception, 42(9), 950-970.
    DOI Scopus10 WoS8 Europe PMC2
    2013 Lucey, S., Navarathna, R., Ashraf, A. B., & Sridharan, S. (2013). Fourier Lucas-Kanade algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(6), 1383-1396.
    DOI Scopus55 WoS45 Europe PMC6
    2012 Dhall, A., Goecke, R., Lucey, S., & Gedeon, T. (2012). Collecting large, richly annotated facial-expression databases from movies. IEEE Multimedia, 19(3), 34-41.
    DOI Scopus477 WoS327
    2012 Chew, S. W., Lucey, P., Lucey, S., Saragih, J., Cohn, J. F., Matthews, I., & Sridharan, S. (2012). In the pursuit of effective affective computing: The relationship between features and registration. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 42(4), 1006-1016.
    DOI Scopus55
    2011 Saragih, J. M., Lucey, S., & Cohn, J. F. (2011). Deformable model fitting by regularized landmark mean-shift. International Journal of Computer Vision, 91(2), 200-215.
    DOI Scopus696 WoS544
    2011 Asthana, A., Lucey, S., & Goecke, R. (2011). Regression based automatic face annotation for deformable model building. Pattern Recognition, 44(10-11), 2598-2613.
    DOI Scopus16 WoS11
    2011 Lucey, P., Cohn, J. F., Matthews, I., Lucey, S., Sridharan, S., Howlett, J., & Prkachin, K. M. (2011). Automatically detecting pain in video through facial action units. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 41(3), 664-674.
    DOI Scopus212 WoS160 Europe PMC37
    2010 Ashraf, A. B., Lucey, S., & Chen, T. (2010). Reinterpreting the application of gabor filters as a manipulation of the margin in linear support vector machines. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(7), 1335-1341.
    DOI Scopus36 WoS18 Europe PMC3
    2010 Lucey, S., Wang, Y., Saragih, J., & Cohn, J. F. (2010). Non-rigid face tracking with enforced convexity and local appearance consistency constraint. Image and Vision Computing, 28(5), 781-789.
    DOI Scopus17 WoS12
    2009 Lucey, S., & Chen, T. (2009). Patches in Vision. Eurasip Journal on Image and Video Processing, 2009, 2 pages.
    DOI
    2009 Ashraf, A. B., Lucey, S., Cohn, J. F., Chen, T., Ambadar, Z., Prkachin, K. M., & Solomon, P. E. (2009). The painful face - Pain expression recognition using active appearance models. Image and Vision Computing, 27(12), 1788-1796.
    DOI Scopus278 WoS217 Europe PMC50
    2009 Lucey, S., Wang, Y., Cox, M., Sridharan, S., & Cohn, J. F. (2009). Efficient constrained local model fitting for non-rigid face alignment. Image and Vision Computing, 27(12), 1804-1813.
    DOI Scopus33 WoS24 Europe PMC4
    2008 Lucey, P., Howlett, J., Cohn, J., Lucey, S., Sridharan, S., & Ambadar, Z. (2008). Improving Pain Recognition Through Better Utilisation of Temporal Information. International Conference on Auditory-Visual Speech Processing 2008, AVSP 2008, 2008, 167-172.
    Scopus24
    2008 Lucey, S., & Chen, T. (2008). A viewpoint invariant, sparsely registered, patch based, face verifier. International Journal of Computer Vision, 80(1), 58-71.
    DOI Scopus17 WoS12
    2007 Lucey, S., & Chen, T. (2007). Integrating monolithic and free-parts representations for improved face verification in the presence of pose mismatch. Pattern Recognition Letters, 28(8), 895-903.
    DOI
    2005 Lucey, S., Chen, T., Sridharan, S., & Chandran, V. (2005). Integration strategies for audio-visual speech processing: Applied to text-dependent speaker recognition. IEEE Transactions on Multimedia, 7(3), 495-506.
    DOI Scopus33 WoS20
    2003 Lucey, S., Sridharan, S., & Chandran, V. (2003). Improved facial-feature detection for AVSP via unsupervised clustering and discriminant analysis. Eurasip Journal on Applied Signal Processing, 2003(3), 264-275.
    DOI Scopus11 WoS9
    2003 Lucey, S. (2003). An evaluation of visual speech features for the tasks of speech and speaker recognition. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2688, 260-267.
    DOI Scopus15
    2003 Lucey, S., & Chen, T. (2003). Improved audio-visual speaker recognition via the use of a hybrid combination strategy. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2688, 929-936.
    DOI
    2002 Lucey, S., Sridharan, S., & Chandran, V. (2002). Adaptive mouth segmentation using chromatic features. Pattern Recognition Letters, 23(11), 1293-1302.
    DOI Scopus19 WoS12
    2000 Lucey, S. (2000). Initialised eigenlip estimator for fast lip tracking using linear regression. Proceedings - International Conference on Pattern Recognition, 15(3), 178-181.
    Scopus19
  • Book Chapters

    Year Citation
    2015 Ham, C., Lucey, S., & Singh, S. (2015). Absolute scale estimation of 3d monocular vision on smart devices. In Mobile Cloud Visual Media Computing: From Interaction to Service (pp. 329-353). Springer International Publishing.
    DOI Scopus3
    2015 Bristow, H., & Lucey, S. (2015). In defense of gradient-based alignment on densely sampled sparse features. In Dense Image Correspondences for Computer Vision (pp. 135-152). Springer International Publishing.
    DOI Scopus4
  • Conference Papers

    Year Citation
    2024 Saratchandran, H., Chng, S. -F., Ramasinghe, S., MacDonald, L. E., & Lucey, S. (2024). Curvature-Aware Training for Coordinate Networks.. In ICCV (pp. 13282-13292). Online: IEEE.
    DOI
    2024 Li, X., Zheng, J., Ferroni, F., Pontes, J. K., & Lucey, S. (2024). Fast Neural Scene Flow. In Proceedings of the IEEE International Conference on Computer Vision (pp. 9844-9856). Online: IEEE.
    DOI Scopus2
    2024 Chang, M. F., Sharma, A., Kaess, M., & Lucey, S. (2024). Neural Radiance Fields with LiDAR Maps. In Proceedings of the IEEE International Conference on Computer Vision (pp. 17868-17877). Onine: IEEE.
    DOI
    2024 Saratchandran, H., Ramasinghe, S., & Lucey, S. (2024). From Activation to Initialization: Scaling Insights for Optimizing
    Neural Fields.
    2024 Chodosh, N., Ramanan, D., & Lucey, S. (2024). Re-Evaluating LiDAR Scene Flow. In Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024 (pp. 5993-6003). Online: IEEE.
    DOI
    2024 Vidanapathirana, K., Chng, S. F., Li, X., & Lucey, S. (2024). Multi-Body Neural Scene Flow. In Proceedings - 2024 International Conference on 3D Vision, 3DV 2024 (pp. 126-136). Online: IEEE.
    DOI
    2024 Zheng, J., Li, X., Ramasinghe, S., & Lucey, S. (2024). Robust Point Cloud Processing Through Positional Embedding. In Proceedings - 2024 International Conference on 3D Vision, 3DV 2024 (pp. 1403-1412). Online: IEEE.
    DOI
    2023 Saratchandran, H., Chng, S. -F., Ramasinghe, S., MacDonald, L. E., & Lucey, S. (2023). Curvature-Aware Training for Coordinate Networks.. In CoRR Vol. abs/2305.08552.
    2023 MacDonald, L. E., Valmadre, J., Saratchandran, H., & Lucey, S. (2023). On skip connections and normalisation layers in deep optimisation.. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), NeurIPS Vol. 36. Online: Neural information processing systems foundation.
    2023 Dabhi, M., Wang, C., Clifford, T., Jeni, L. A., Fasel, I., & Lucey, S. (2023). MBW: Multi-view Bootstrapping in the Wild. In Advances in Neural Information Processing Systems Vol. 35 (pp. 13 pages). USA: Neural information processing systems foundation.
    2023 Ramasinghe, S., Macdonald, L., & Lucey, S. (2023). On the Frequency-Bias of Coordinate-MLPs. In Advances in Neural Information Processing Systems Vol. 35. USA: Neural information processing systems foundation.
    Scopus2
    2023 Ramasinghe, S., & Lucey, S. (2023). A Learnable Radial Basis Positional Embedding for Coordinate-MLPs. In B. Williams, Y. Chen, & J. Neville (Eds.), Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023 Vol. 37 (pp. 2137-2145). Washington, DC, USA: PKP Publishing Services Network.
    DOI
    2023 Ramasinghe, S., MacDonald, L., Farazi, M., Saratchandran, H., & Lucey, S. (2023). How Much does Initialization Affect Generalization?. In ICML'23: Proceedings of the 40th International Conference on Machine Learning Vol. 202 (pp. 28637-28655). Honolulu, Hawaii, USA: Association for Computing Machinery. ACM.
    Scopus1
    2022 Dabhi, M., Wang, C., Saluja, K., Jeni, L. A., Fasel, I., & Lucey, S. (2022). High Fidelity 3D Reconstructions with Limited Physical Views. In Proceedings - 2021 International Conference on 3D Vision, 3DV 2021 (pp. 1301-1311). online: IEEE.
    DOI Scopus2 WoS1
    2022 Zheng, J., Ramasinghe, S., Li, X., & Lucey, S. (2022). Trading Positional Complexity vs Deepness in Coordinate Networks. In S. Avidan, G. Brostow, M. Cisse, G. M. Farinella, & T. Hassner (Eds.), Proceedings Computer Vision - ECCV Vol. 13687 LNCS (pp. 144-160). Tel Aviv, Israel: Springer Nature Switzerland.
    DOI Scopus7
    2022 MacDonald, L., Ramasinghe, S., & Lucey, S. (2022). Enabling Equivariance for Arbitrary Lie Groups. In Proceedings / CVPR, IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. New Orleans: IEEE.
    2022 Ch'ng, S. F., Ramasinghe, S., Sherrah, J., & Lucey, S. (2022). GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation. In Proceedings of the 17th European Conference on Computer Vision (ECCV 2022). Tel Aviv, Israel.
    2022 Wang, C., Li, X., Pontes, J. K., & Lucey, S. (2022). Neural Prior for Trajectory Estimation. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2022-June (pp. 6522-6532). Online: IEEE.
    DOI Scopus10
    2022 Chang, M. F., Zhao, Y., Shah, R., Engel, J. J., Kaess, M., & Lucey, S. (2022). Long-term Visual Map Sparsification with Heterogeneous GNN. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2022-June (pp. 2396-2405). Online: IEEE.
    DOI Scopus2
    2022 Chng, S. F., Ramasinghe, S., Sherrah, J., & Lucey, S. (2022). Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction and Pose Estimation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13693 LNCS (pp. 264-280). Online: Springer.
    DOI Scopus19 WoS2
    2022 Ramasinghe, S., & Lucey, S. (2022). Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13693 LNCS (pp. 142-158). Online: Springer.
    DOI Scopus11
    2022 Teney, D., Abbasnejad, E., Lucey, S., & Hengel, A. V. D. (2022). Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022) Vol. 2022-June (pp. 16740-16751). New Orleans, Louisiana: IEEE.
    DOI Scopus23 WoS5
    2022 MacDonald, L. E., Ramasinghe, S., & Lucey, S. (2022). Enabling Equivariance for Arbitrary Lie Groups. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2022-June (pp. 8173-8182). New Orleans, LA, USA: IEEE.
    DOI Scopus4 WoS2
    2021 Li, X., Pontes, J. K., & Lucey, S. (2021). Neural Scene Flow Prior. In Advances in Neural Information Processing Systems Vol. 34 (pp. 7838-7851). San Diego, CA, USA: Neural Information Processing Systems Foundation.
    Scopus25 WoS2
    2021 Wang, C., & Lucey, S. (2021). PAUL: Procrustean Autoencoder for Unsupervised Lifting. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 434-443). online: IEEE.
    DOI Scopus11 WoS7
    2021 Li, X., Pontes, J. K., & Lucey, S. (2021). PointNetlk revisited. In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 12758-12767). Nashville, TN, USA: IEEE COMPUTER SOC.
    DOI Scopus42 WoS7
    2021 Cazenavette, G., Murdock, C., & Lucey, S. (2021). Architectural Adversarial Robustness: The Case for Deep Pursuit. In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 7146-7154). Nashville, TN, USA: IEEE.
    DOI Scopus9 WoS7
    2021 Lin, C. H., Ma, W. C., Torralba, A., & Lucey, S. (2021). BARF: Bundle-Adjusting Neural Radiance Fields. In Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (pp. 5721-5731). online: IEEE.
    DOI Scopus235 WoS26
    2021 Chang, M. F., Dong, W., Mangelson, J., Kaess, M., & Lucey, S. (2021). Map Compressibility Assessment for LiDAR Registration. In IEEE International Conference on Intelligent Robots and Systems (pp. 5560-5567). online: IEEE.
    DOI Scopus3 WoS2
    2021 Chang, M. F., Mangelson, J., Kaess, M., & Lucey, S. (2021). HyperMap: Compressed 3D map For Monocular Camera Registration. In Proceedings - IEEE International Conference on Robotics and Automation Vol. 2021-May (pp. 11140-11146). online: IEEE.
    DOI Scopus5 WoS2
    2021 Teney, D., Abbasnejad, E., Lucey, S., & Hengel, A. V. D. (2021). Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization.. In CoRR Vol. abs/2105.05612.
    2020 Lin, C. H., Wang, C., & Lucey, S. (2020). SDF-SRN: Learning signed distance 3D object reconstruction from static images. In Advances in Neural Information Processing Systems, NeurIPS 2020 Vol. 2020-December (pp. 1-12). online: NIPS.
    Scopus42
    2020 Chodosh, N., & Lucey, S. (2020). When to use convolutional neural networks for inverse problems. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 8223-8232). online: IEEE.
    DOI Scopus6
    2020 Murdock, C., & Lucey, S. (2020). Dataless model selection with the deep frame potential. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 11254-11262). online: IEEE.
    DOI Scopus3
    2020 Sarode, V., Dhagat, A., Srivatsan, R. A., Zevallos, N., Lucey, S., & Choset, H. (2020). MaskNet: A Fully-Convolutional Network to Estimate Inlier Points. In Proceedings - 2020 International Conference on 3D Vision, 3DV 2020 (pp. 1029-1038). online: IEEE.
    DOI Scopus20
    2020 Pontes, J. K., Hays, J., & Lucey, S. (2020). Scene Flow from Point Clouds with or without Learning. In Proceedings - 2020 International Conference on 3D Vision, 3DV 2020 (pp. 261-270). online: IEEE.
    DOI Scopus30 WoS13
    2020 Wang, C., Lin, C. H., & Lucey, S. (2020). Deep NRSfM++: Towards Unsupervised 2D-3D Lifting in the Wild. In Proceedings - 2020 International Conference on 3D Vision, 3DV 2020 (pp. 12-22). online: IEEE.
    DOI Scopus9
    2020 Agrawal, S., Pahuja, A., & Lucey, S. (2020). High accuracy face geometry capture using a smartphone video. In Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020 (pp. 81-90). online: IEEE.
    DOI Scopus4
    2019 Pahuja, A., & Lucey, S. (2019). Lossy GIF compression using deep intrinsic parameterization. In Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019 (pp. 4581-4583). online: IEEE.
    DOI
    2019 Kong, C., & Lucey, S. (2019). Deep non-rigid structure from motion. In Proceedings of the IEEE International Conference on Computer Vision Vol. 2019-October (pp. 1558-1567). online: IEEE.
    DOI Scopus46
    2019 Wang, C., Kong, C., & Lucey, S. (2019). Distill knowledge from NRSfM for weakly supervised 3D pose learning. In Proceedings of the IEEE International Conference on Computer Vision Vol. 2019-October (pp. 743-752). online: IEEE.
    DOI Scopus41
    2019 Chang, M. F., Lambert, J., Sangkloy, P., Singh, J., Bak, S., Hartnett, A., . . . Hays, J. (2019). Argoverse: 3D tracking and forecasting with rich maps. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) Vol. 2019-June (pp. 8740-8749). online: IEEE.
    DOI Scopus740
    2019 Lin, C. H., Wang, O., Russell, B. C., Shechtman, E., Kim, V. G., Fisher, M., & Lucey, S. (2019). Photometric mesh optimization for video-aligned 3D object reconstruction. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) Vol. 2019-June (pp. 969-978). online: IEEE.
    DOI Scopus48
    2019 Aoki, Y., Goforth, H., Srivatsan, R. A., & Lucey, S. (2019). Pointnetlk: Robust & efficient point cloud registration using pointnet. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2019-June (pp. 7156-7165). online: IEEE.
    DOI Scopus582
    2019 Goforth, H., & Lucey, S. (2019). GPS-denied UAV localization using pre-existing satellite imagery. In Proceedings - IEEE International Conference on Robotics and Automation (ICRA) Vol. 2019-May (pp. 2974-2980). online: IEEE.
    DOI Scopus71
    2019 Chodosh, N., Wang, C., & Lucey, S. (2019). Deep Convolutional Compressed Sensing for LiDAR Depth Completion. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11361 LNCS (pp. 499-513). Switzerland: Springer Nature.
    DOI Scopus62
    2019 Wang, C., Lucey, S., Perazzi, F., & Wang, O. (2019). Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes. In Proceedings - 2019 International Conference on 3D Vision, 3DV 2019 (pp. 348-357). online: IEEE.
    DOI Scopus66
    2019 Pontes, J. K., Kong, C., Sridharan, S., Lucey, S., Eriksson, A., & Fookes, C. (2019). Image2Mesh: A Learning Framework for Single Image 3D Reconstruction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11361 LNCS (pp. 365-381). Switzerland: Springer.
    DOI Scopus56
    2018 Kaesemodel Pontes, J., Kong, C., Eriksson, A., Fookes, C., Sridharan, S., & Lucey, S. (2018). Compact Model Representation for 3D Reconstruction. In Proceedings - 2017 International Conference on 3D Vision, 3DV 2017 (pp. 88-96). online: IEEE.
    DOI Scopus9
    2018 Ham, C., Chang, M. F., Lucey, S., & Singh, S. (2018). Monocular depth from small motion video accelerated. In Proceedings - 2017 International Conference on 3D Vision, 3DV 2017 (pp. 575-583). online: IEEE.
    DOI Scopus6 WoS5
    2018 Lin, C., Kong, C., & Lucey, S. (2018). Learning efficient point cloud generation for dense 3D object reconstruction. In 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 (pp. 7114-7121). online: AAAI.
    Scopus259
    2018 Wang, C., Buenaposada, J. M., Zhu, R., & Lucey, S. (2018). Learning Depth from Monocular Videos Using Direct Methods. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 2022-2030). online: IEEE.
    DOI Scopus462
    2018 Murdock, C., Chang, M. F., & Lucey, S. (2018). Deep component analysis via alternating direction neural networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11219 LNCS (pp. 851-867). Switzerland: Springer Nature.
    DOI Scopus2
    2018 Lin, C. H., Yumer, E., Wang, O., Shechtman, E., & Lucey, S. (2018). ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 9455-9464). online: IEEE.
    DOI Scopus146
    2018 Wang, C., Galoogahi, H. K., Lin, C. H., & Lucey, S. (2018). Deep-LK for Efficient Adaptive Object Tracking. In Proceedings - IEEE International Conference on Robotics and Automation (pp. 627-634). online: IEEE.
    DOI Scopus27
    2018 Zhu, R., Wang, C., Lin, C. H., Wang, Z., & Lucey, S. (2018). Object-Centric Photometric Bundle Adjustment with Deep Shape Prior. In Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018 Vol. 2018-January (pp. 894-902). online: IEEE.
    DOI Scopus13
    2017 Lin, C. H., & Lucey, S. (2017). Inverse compositional spatial transformer networks. In Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017 Vol. 2017-January (pp. 2252-2260). online: IEEE.
    DOI Scopus115
    2017 Zhu, R., Galoogahi, H. K., Wang, C., & Lucey, S. (2017). Rethinking Reprojection: Closing the Loop for Pose-Aware Shape Reconstruction from a Single Image. In Proceedings of the IEEE International Conference on Computer Vision Vol. 2017-October (pp. 57-65). online: IEEE.
    DOI Scopus74
    2017 Huang, C., Lucey, S., & Ramanan, D. (2017). Learning Policies for Adaptive Tracking with Deep Feature Cascades. In Proceedings of the IEEE International Conference on Computer Vision Vol. 2017-October (pp. 105-114). online: IEEE.
    DOI Scopus226
    2017 Kong, C., Lin, C. H., & Lucey, S. (2017). Using locally corresponding CAD models for dense 3D reconstructions from a single image. In Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017 Vol. 2017-January (pp. 5603-5611). online: IEEE.
    DOI Scopus44
    2017 Abbasnejad, I., Sridharan, S., Nguyen, D., Denman, S., Fookes, C., & Lucey, S. (2017). Using Synthetic Data to Improve Facial Expression Analysis with 3D Convolutional Networks. In Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017 Vol. 2018-January (pp. 1609-1618). online: IEEE.
    DOI Scopus52
    2017 Galoogahi, H. K., Fagg, A., Huang, C., Ramanan, D., & Lucey, S. (2017). Need for Speed: A Benchmark for Higher Frame Rate Object Tracking. In Proceedings of the IEEE International Conference on Computer Vision Vol. 2017-October (pp. 1134-1143). online: IEEE.
    DOI Scopus305
    2017 Galoogahi, H. K., Fagg, A., & Lucey, S. (2017). Learning Background-Aware Correlation Filters for Visual Tracking. In Proceedings of the IEEE International Conference on Computer Vision Vol. 2017-October (pp. 1144-1152). online: IEEE.
    DOI Scopus1108
    2017 Abbasnejad, I., Sridharan, S., Denman, S., Fookes, C., & Lucey, S. (2017). From affine rank minimization solution to sparse modeling. In Proceedings - 2017 IEEE Winter Conference on Applications of Computer Vision, WACV 2017 (pp. 501-509). online: IEEE.
    DOI Scopus1
    2017 Fagg, A., Lucey, S., & Sridharan, S. (2017). Fast, Dense Feature SDM on an iPhone. In Proceedings - 12th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2017 - 1st International Workshop on Adaptive Shot Learning for Gesture Understanding and Production, ASL4GUP 2017, Biometrics in the Wild, Bwild 2017, Heterogeneous Face Recognition, HFR 2017, Joint Challenge on Dominant and Complementary Emotion Recognition Using Micro Emotion Features and Head-Pose Estimation, DCER and HPE 2017 and 3rd Facial Expression Recognition and Analysis Challenge, FERA 2017 (pp. 95-102). online: IEEE.
    DOI Scopus1
    2017 Ham, C., Singh, S., & Lucey, S. (2017). Occlusions are fleeting -Texture is forever: Moving past brightness constancy. In Proceedings - 2017 IEEE Winter Conference on Applications of Computer Vision, WACV 2017 (pp. 273-281). online: IEEE.
    DOI Scopus2 WoS1
    2016 Abbasnejad, I., Sridharan, S., Denman, S., Fookes, C., & Lucey, S. (2016). Complex Event Detection Using Joint Max Margin and Semantic Features. In 2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016 (pp. 1-8). online: IEEE.
    DOI Scopus11
    2016 Kong, C., Zhu, R., Kiani, H., & Lucey, S. (2016). Structure from category: A generic and prior-less approach. In Proceedings - 2016 4th International Conference on 3D Vision, 3DV 2016 (pp. 296-304). online: IEEe.
    DOI Scopus16
    2016 Alismail, H., Browning, B., & Lucey, S. (2016). Robust tracking in low light and sudden illumination changes. In Proceedings - 2016 4th International Conference on 3D Vision, 3DV 2016 (pp. 389-398). online: IEEE.
    DOI Scopus27
    2016 Lin, C. H., Zhu, R., & Lucey, S. (2016). The conditional Lucas & Kanade algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9909 LNCS (pp. 793-808). Switzerland: Springer Nature.
    DOI Scopus13
    2016 Kong, C., & Lucey, S. (2016). Prior-Less Compressible Structure from Motion. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2016-December (pp. 4123-4131). online: IEEE.
    DOI Scopus38
    2015 Girard, J. M., Cohn, J. F., Jeni, L. A., Lucey, S., & De La Torre, F. (2015). How much training data for facial action unit detection?. In 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2015. IEEE.
    DOI Scopus29
    2015 Galoogahi, H. K., Sim, T., & Lucey, S. (2015). Correlation filters with limited boundaries. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 07-12-June-2015 (pp. 4630-4638). IEEE.
    DOI Scopus366
    2015 Abbasnejad, I., Sridharan, S., Denman, S., Fookes, C., & Lucey, S. (2015). Learning Temporal Alignment Uncertainty for Efficient Event Detection. In 2015 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015. IEEE.
    DOI Scopus3
    2015 Valmadre, J., Sridharan, S., Denman, S., Fookes, C., & Lucey, S. (2015). Closed-Form Solutions for Low-Rank Non-Rigid Reconstruction. In 2015 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015 (pp. 252-257). Adelaide, AUSTRALIA: IEEE.
    DOI Scopus5
    2015 Fagg, A., Sridharan, S., & Lucey, S. (2015). Unsupervised temporal ensemble alignment for rapid annotation. In C. V. Jawahar, & S. Shan (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9008 (pp. 71-84). Singapore, SINGAPORE: SPRINGER-VERLAG BERLIN.
    DOI
    2015 Valmadre, J., Sridharan, S., & Lucey, S. (2015). Learning detectors quickly with stationary statistics. In D. Cremers, I. Reid, H. Saito, & M. H. Yang (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9003 (pp. 99-114). Singapore, SINGAPORE: SPRINGER-VERLAG BERLIN.
    DOI Scopus1
    2015 Bristow, H., Valmadre, J., & Lucey, S. (2015). Dense semantic correspondence where every pixel is a classifier. In Proceedings of the IEEE International Conference on Computer Vision Vol. 2015 International Conference on Computer Vision, ICCV 2015 (pp. 4024-4031). Santiago, CHILE: IEEE.
    DOI Scopus45 WoS19
    2014 Zhu, Y., Huang, D., Torre, F. D. L., & Lucey, S. (2014). Complex non-rigid motion 3D reconstruction by union of subspaces. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 1542-1549). Columbus, OH: IEEE.
    DOI Scopus107 WoS74
    2014 Ham, C., Lucey, S., & Singh, S. (2014). Hand waving away scale. In D. Fleet, T. Pajdla, B. Schiele, & T. Tuytelaars (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 8692 LNCS (pp. 279-293). Zurich, SWITZERLAND: SPRINGER INTERNATIONAL PUBLISHING AG.
    DOI Scopus11 WoS5
    2014 Shen, Y., Hu, W., Yang, M., Wei, B., Lucey, S., & Chou, C. T. (2014). Face recognition on smartphones via optimised Sparse Representation Classification. In IPSN 2014 - Proceedings of the 13th International Symposium on Information Processing in Sensor Networks (Part of CPS Week) (pp. 237-248). Berlin, GERMANY: IEEE.
    DOI Scopus48 WoS39
    2014 Kiani, H., Sim, T., & Lucey, S. (2014). Multi-channel correlation filters for human action recognition. In 2014 IEEE International Conference on Image Processing, ICIP 2014 (pp. 1485-1489). IEEE.
    DOI Scopus14
    2013 Hammal, Z., Bailie, T. E., Cohn, J. F., George, D. T., Saraghi, J., Chiquero, J. N., & Lucey, S. (2013). Temporal coordination of head motion in couples with history of interpersonal violence. In 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013. IEEE.
    DOI Scopus5
    2013 Cheng, X., Sridharan, S., Saragih, J., & Lucey, S. (2013). Rank minimization across appearance and shape for AAM ensemble fitting. In Proceedings of the IEEE International Conference on Computer Vision (pp. 577-584). Sydney, AUSTRALIA: IEEE.
    DOI Scopus15 WoS8
    2013 Galoogahi, H. K., Sim, T., & Lucey, S. (2013). Multi-channel correlation filters. In Proceedings of the IEEE International Conference on Computer Vision (pp. 3072-3079). Sydney, AUSTRALIA: IEEE.
    DOI Scopus242 WoS192
    2013 Cheng, X., Fookes, C., Sridharan, S., Saragih, J., & Lucey, S. (2013). Deformable face ensemble alignment with robust grouped-L1 anchors. In 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) (pp. 1-7). Shanghai, China: IEEE.
    DOI Scopus8 WoS2
    2013 Bristow, H., Eriksson, A., & Lucey, S. (2013). Fast convolutional sparse coding. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 391-398). United States of America: IEEE.
    DOI Scopus264
    2012 Zhu, Y., Valmadre, J., & Lucey, S. (2012). Camera-less articulated trajectory reconstruction. In Proceedings - International Conference on Pattern Recognition (pp. 841-844). Univ Tsukuba, Tsukuba, JAPAN: IEEE.
    Scopus5 WoS4
    2012 Valmadre, J., Zhu, Y., Sridharan, S., & Lucey, S. (2012). Efficient articulated trajectory reconstruction using dynamic programming and filters. In A. Fitzgibbon, S. Lazebnik, P. Perona, Y. Sato, & C. Schmid (Eds.), Computer Vision - ECCV 2012: 12th European Conference on Computer Vision. Proceedings, Part 1 Vol. 7572 LNCS (pp. 72-85). Florence, Italy: Springer-Verlag.
    DOI Scopus14 WoS12
    2012 Chew, S. W., Lucey, S., Lucey, P., Sridharan, S., & Conn, J. F. (2012). Improved facial expression recognition via uni-hyperplane classification. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 2554-2561). Providence, RI: IEEE.
    DOI Scopus46 WoS36
    2012 Bristow, H., & Lucey, S. (2012). V1-inspired features induce a weighted margin in SVMs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 7573 LNCS (pp. 59-72). Springer Berlin Heidelberg.
    DOI Scopus1
    2012 Cheng, X., Sridharan, S., Saraghi, J., & Lucey, S. (2012). Anchored deformable face ensemble alignment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 7583 LNCS (pp. 133-142). Springer Berlin Heidelberg.
    DOI Scopus5
    2012 Valmadre, J., & Lucey, S. (2012). General trajectory prior for Non-Rigid reconstruction. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 1394-1401). Providence, RI: IEEE.
    DOI Scopus50 WoS27
    2011 Valmadre, J., Upcroft, B., Sridharan, S., & Lucey, S. (2011). Graph rigidity for near-coplanar structure from motion. In Proceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011 (pp. 480-486). IEEE.
    DOI
    2011 Dhall, A., Goecke, R., Lucey, S., & Gedeon, T. (2011). Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark. In Proceedings of the IEEE International Conference on Computer Vision (pp. 2106-2112). Barcelona, SPAIN: IEEE.
    DOI Scopus406 WoS113
    2011 Navarathna, R., Sridharan, S., & Lucey, S. (2011). Fourier active appearance models. In Proceedings of the IEEE International Conference on Computer Vision (pp. 1919-1926). Barcelona, SPAIN: IEEE.
    DOI Scopus18 WoS12
    2011 Chew, S. W., Rana, R., Lucey, P., Lucey, S., & Sridharan, S. (2011). Sparse temporal representations for facial expression recognition. In Y. S. Ho (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 7088 LNCS (pp. 311-322). Gwangju, SOUTH KOREA: SPRINGER-VERLAG BERLIN.
    DOI Scopus23 WoS20
    2011 Saragih, J. M., Lucey, S., & Cohn, J. F. (2011). Real-time avatar animation from a single image. In 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011 (pp. 213-220). IEEE.
    DOI Scopus46
    2011 Chew, S. W., Lucey, P., Lucey, S., Saragih, J., Cohn, J. F., & Sridharan, S. (2011). Person-independent facial expression detection using Constrained Local Models. In 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011 (pp. 915-920). IEEE.
    DOI Scopus93
    2011 Saragih, J. M., Lucey, S., & Cohn, J. F. (2011). Real-time avatar animation from a single image. In 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011 (pp. 117-124). United States: IEEE.
    DOI Scopus29 Europe PMC1
    2011 Zhu, Y., Cox, M., & Lucey, S. (2011). 3D motion reconstruction for real-world camera motion. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 1-8). Colorado Springs, CO: IEEE.
    DOI Scopus45 WoS1
    2010 Ali, S., & Lucey, S. (2010). Are correlation filters useful for human action recognition?. In Proceedings - International Conference on Pattern Recognition (pp. 2608-2611). IEEE.
    DOI Scopus14
    2010 Lucey, S., & Jang, J. S. (2010). Non-rigid face tracking using short "Track-Life" features. In Proceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010 (pp. 241-248). IEEE.
    DOI Scopus2
    2010 Valmadre, J., & Lucey, S. (2010). Deterministic 3D human pose estimation using rigid structure. In K. Daniilidis, P. Maragos, & N. Paragios (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 6313 LNCS (pp. 467-480). Heraklion, GREECE: SPRINGER-VERLAG BERLIN.
    DOI Scopus22 WoS19
    2010 Lucey, P., Lucey, S., & Cohn, J. F. (2010). Registration invariant representations for expression detection. In Proceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010 (pp. 255-261). IEEE.
    DOI Scopus14
    2010 Ashraf, A. B., Lucey, S., & Chen, T. (2010). Fast image alignment in the fourier domain. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 2480-2487). San Francisco, CA: IEEE COMPUTER SOC.
    DOI Scopus15 WoS12
    2009 Lucey, P., Cohn, J., Lucey, S., Matthews, I., Sridharan, S., & Prkachin, K. M. (2009). Automatically detecting pain using facial actions. In Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009. IEEE.
    DOI Scopus78
    2009 Lucey, P., Cohn, J., Lucey, S., Sridharan, S., & Prkachin, K. M. (2009). Automatically detecting action units from faces of pain: Comparing shape and appearance features. In 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009 (pp. 12-18). IEEE.
    DOI Scopus21
    2009 Cox, M., Sridharan, S., Lucey, S., & Cohn, J. (2009). Least-squares congealing for large numbers of images. In Proceedings of the IEEE International Conference on Computer Vision (pp. 1949-1956). IEEE.
    DOI Scopus35
    2009 Saragih, J. M., Lucey, S., & Cohn, J. F. (2009). Probabilistic constrained adaptive local displacement experts. In 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009 (pp. 288-295). IEEE.
    DOI Scopus2
    2009 Saragih, J. M., Lucey, S., & Cohn, J. F. (2009). Face alignment through subspace constrained mean-shifts. In Proceedings of the IEEE International Conference on Computer Vision (pp. 1034-1041). IEEE.
    DOI Scopus289
    2009 Saragih, J. M., Lucey, S., & Cohn, J. F. (2009). Deformable model fitting with a mixture of local experts. In Proceedings of the IEEE International Conference on Computer Vision (pp. 2248-2255). IEEE.
    DOI Scopus16
    2009 Lucey, P., Cohn, J., Lucey, S., Sridharan, S., & Prkachin, K. M. (2009). Automatically Detecting Action Units from Faces of Pain: Comparing Shape and Appearance Features. In 2009 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPR WORKSHOPS 2009), VOLS 1 AND 2 (pp. 771-+). Miami Beach, FL: IEEE.
    2009 Ryan, A., Cohn, J. F., Lucey, S., Saragih, J., Lucey, P., De La Torre, F., & Rossi, A. (2009). Automated facial expression recognition system. In Proceedings - International Carnahan Conference on Security Technology (pp. 172-177). IEEE.
    DOI Scopus80
    2008 Lucey, S. (2008). Enforcing non-positive weights for stable support vector tracking. In 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR (pp. 1728-1735). Anchorage, AK: IEEE.
    DOI Scopus15
    2008 Lucey, P., Lucey, S., Cox, M., Sridharan, S., & Cohn, J. (2008). Comparing object alignment algorithms with appearance variation: Forward-additive vs inverse-composition. In Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008 Vol. 2008 (pp. 337-342). Cairns, AUSTRALIA: IEEE.
    DOI Scopus2
    2008 Cox, M., Sridharan, S., Lucey, S., & Cohn, J. (2008). Least squares congealing for unsupervised alignment of images. In 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR Vol. 2008 (pp. 1795-+). Anchorage, AK: IEEE.
    DOI Scopus72 WoS6 Europe PMC7
    2008 Wang, Y., Lucey, S., Cohn, J. F., & Saragih, J. (2008). Non-rigid Face Tracking with Local Appearance Consistency Constraint. In 2008 8TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE & GESTURE RECOGNITION (FG 2008), VOLS 1 AND 2 (pp. 402-409). Amsterdam, NETHERLANDS: IEEE.
    2008 Saragih, J. M., Lucey, S., & Cohn, J. F. (2008). Deformable face fitting with soft correspondence constraints. In 2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008 (pp. 267-274). Amsterdam, NETHERLANDS: IEEE.
    DOI Scopus2
    2008 Wang, Y., Lucey, S., & Cohn, J. F. (2008). Enforcing convexity for improved alignment with constrained local models. In 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR Vol. 2008 (pp. 3621-3628). Anchorage, AK: IEEE.
    DOI Scopus126 WoS16 Europe PMC2
    2008 Ashraf, A. B., Lucey, S., & Chen, T. (2008). Learning patch correspondences for improved viewpoint invariant face recognition. In 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR (pp. 3208-3215). Anchorage, AK: IEEE.
    DOI Scopus90 WoS5
    2007 Ashraf, A. B., Lucey, S., Cohn, J. F., Chen, T., Ambadar, Z., Prkachin, K., . . . Theobald, B. J. (2007). The painful face - Pain expression recognition using active appearance models. In Proceedings of the 9th International Conference on Multimodal Interfaces, ICMI'07 (pp. 9-14). Nagoya, JAPAN: ASSOC COMPUTING MACHINERY.
    DOI Scopus71 WoS46
    2007 Wang, Y., Lucey, S., & Cohn, J. (2007). Non-rigid object alignment with a mismatch template based on exhaustive local search. In Proceedings of the IEEE International Conference on Computer Vision (pp. 2800-2807). Rio de Janeiro, BRAZIL: IEEE.
    DOI Scopus9 WoS39
    2006 Lucey, S., Matthews, I., Hu, C., Ambadar, Z., De La Torre, F., & Cohn, J. (2006). AAM derived face representations for robust facial action recognition. In FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition Vol. 2006 (pp. 155-162). British Mach Vis Assoc, Southampton, ENGLAND: IEEE COMPUTER SOC.
    DOI Scopus86 WoS46
    2006 Lucey, S., & Chen, T. (2006). The 2006 IEEE workshop: "Beyond patches". In 2006 Conference on Computer Vision and Pattern Recognition Workshops Vol. 2006 (pp. 21). IEEE.
    DOI
    2006 Lucey, S., & Tsuhan, C. (2006). Learning patch dependencies for improved pose mismatched face verification. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 1 (pp. 909-915). IEEE.
    DOI Scopus35
    2005 Beattie, M., Kumar, B. V. K. V., Lucey, S., & Tonguz, O. K. (2005). Combining verification decisions in a multi-vendor environment. In T. Kanade, A. Jain, & N. K. Ratha (Eds.), Lecture Notes in Computer Science Vol. 3546 (pp. 406-415). Rye Brook, NY: SPRINGER-VERLAG BERLIN.
    DOI Scopus2 WoS1
    2005 Lucey, S., & Chen, T. (2005). Face recognition through mismatch driven representations of the face. In Proceedings - 2nd Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, VS-PETS Vol. 2005 (pp. 193-199). IEEE.
    DOI Scopus5
    2005 Lucey, S., & Chen, T. (2005). Using overlapping distributions to deal with face pose mismatch. In BMVC 2005 - Proceedings of the British Machine Vision Conference 2005. British Machine Vision Association.
    DOI Scopus2
    2005 Beattie, M., Vijaya Kumar, B. V. K., Lucey, S., & Tonguz, O. K. (2005). Automatic configuration for a biometrics-based physical access control system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 3781 LNCS (pp. 241-248). Springer Berlin Heidelberg.
    DOI
    2005 Lucey, P., Lucey, S., & Sridharan, S. (2005). Using a free-parts representation for visual speech recognition. In Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005 Vol. 2005 (pp. 379-384). IEEE.
    DOI
    2005 Lucey, S., & Lucey, P. (2005). IMPROVED SPEECH READING THROUGH A FREE-PARTS REPRESENTATION. In Auditory-Visual Speech Processing 2005, AVSP 2005 (pp. 85-86).
    2004 Messer, K., Kittler, J., Sadeghi, M., Hamouz, M., Kostin, A., Cardinaux, F., . . . Schneiderman, H. (2004). Face authentication test on the BANCA database. In J. Kittler, M. Petrou, & M. Nixon (Eds.), Proceedings - International Conference on Pattern Recognition Vol. 4 (pp. 523-532). British Machine Vis Assoc, Cambridge, ENGLAND: IEEE COMPUTER SOC.
    DOI Scopus84 WoS52
    2004 Lucey, S. (2004). The symbiotic relationship of parts and monolithic face representations in verification. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Vol. 2004-January. IEEE.
    DOI Scopus4
    2004 Lucey, S., & Chen, T. (2004). A GMM parts based face representation for improved verification through relevance adaptation. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2.
    Scopus58
    2004 Lucey, S., & Chen, T. (2004). A GNM parts based face representation for improved verification through relevance adaptation. In PROCEEDINGS OF THE 2004 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 2 (pp. 855-861). Washington, DC: IEEE COMPUTER SOC.
    WoS40
    2003 Lucey, S., & Chen, T. (2003). Improved speaker verification through probabilistic subspace adaptation. In EUROSPEECH 2003 - 8th European Conference on Speech Communication and Technology (pp. 2021-2024).
    Scopus31
    2003 Lucey, S., & Chen, T. (2003). An investigation into subspace rapid speaker adaptation for verification. In Proceedings - IEEE International Conference on Multimedia and Expo Vol. 1 (pp. I69-I72). BALTIMORE, MD: IEEE.
    DOI Scopus2 WoS1
    2002 Lucey, S., Sridharan, S., & Chandran, V. (2002). A link between cepstral shrinking and the weighted product rule in audio-visual speech recognition. In 7th International Conference on Spoken Language Processing, ICSLP 2002 (pp. 1961-1964).
    Scopus4
    2001 Lucey, S., Sridharan, S., & Chandran, V. (2001). An investigation of HMM classifier combination strategies for improved audio-visual speech recognition. In EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology (pp. 1185-1188).
    Scopus2
    2001 Lucey, S., Sridharan, S., & Chandran, V. (2001). Improving visual noise insensitivity in small vocabulary audio visual speech recognition applications. In 6th International Symposium on Signal Processing and Its Applications, ISSPA 2001 - Proceedings; 6 Tutorials in Communications, Image Processing and Signal Analysis Vol. 2 (pp. 434-437). IEEE.
    DOI Scopus1
    2001 Lucey, S., Sridharan, S., & Chandran, V. (2001). Improved speech recognition using adaptive audio-visual fusion via a stochastic secondary classifier. In Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001 (pp. 551-554).
    Scopus10
    2001 Lucey, S., Sridharan, S., & Chandran, V. (2001). A suitability metric for mouth tracking through chromatic segmentation. In IEEE International Conference on Image Processing Vol. 3 (pp. 258-261). THESSALONIKI, GREECE: IEEE.
    Scopus4
    1999 Lucey, S., Sridharan, S., & Chandran, V. (1999). Chromatic lip tracking using a connectivity based fuzzy thresholding technique. In ISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications Vol. 2 (pp. 669-672). Queensland Univ. Technol.
    DOI Scopus7
  • Working Paper

    Year Citation
    2022 MacDonald, L. E., Saratchandran, H., Valmadre, J., & Lucey, S. (2022). A global analysis of global optimisation..
  • Internet Publications

    Year Citation
    2014 Valmadre, J., Sridharan, S., & Lucey, S. (2014). Learning detectors quickly using structured covariance matrices.
  • Preprint

    Year Citation
    2024 Zheng, J., Li, X., & Lucey, S. (2024). Convolutional Initialization for Data-Efficient Vision Transformers.
    2024 Saratchandran, H., Chng, S. -F., & Lucey, S. (2024). Architectural Strategies for the optimization of Physics-Informed Neural
    Networks.
    2024 Saratchandran, H., Chng, S. -F., & Lucey, S. (2024). Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate
    Networks.
    2024 Chng, S. -F., Saratchandran, H., & Lucey, S. (2024). Preconditioners for the Stochastic Training of Implicit Neural
    Representations.
    2024 Saratchandran, H., Ramasinghe, S., Shevchenko, V., Long, A., & Lucey, S. (2024). A Sampling Theory Perspective on Activations for Implicit Neural
    Representations.
    2024 Li, X., & Lucey, S. (2024). Fast Kernel Scene Flow.
    2024 Ji, Y., Saratchandran, H., Gordon, C., Zhang, Z., & Lucey, S. (2024). Sine Activated Low-Rank Matrices for Parameter Efficient Learning.
    2024 Gordon, C., MacDonald, L. E., Saratchandran, H., & Lucey, S. (2024). D'OH: Decoder-Only random Hypernetworks for Implicit Neural
    Representations.
    2024 Zheng, J., Li, X., & Lucey, S. (2024). Structured Initialization for Attention in Vision Transformers.
    2023 Li, X., Zheng, J., Ferroni, F., Pontes, J. K., & Lucey, S. (2023). Fast Neural Scene Flow.

I have had numerous sources of funding from industry and the ARC. Please send me your CV if you are interested in pursuing a PhD or Post-Doc. 

  • Current Higher Degree by Research Supervision (University of Adelaide)

    Date Role Research Topic Program Degree Type Student Load Student Name
    2024 Co-Supervisor Physical adversarial attacks against machine learning models for satellite imagery Doctor of Philosophy Doctorate Full Time Mr Harrison Taylor Bagley
    2023 Co-Supervisor Visual Object Tracking and Modelling for Embodied AI. Doctor of Philosophy Doctorate Full Time Mr Adam William Bethell
    2023 Principal Supervisor Exploring the effects of weight initialisation and architecture modification on the generalisation capability of over-parameterised neural networks Master of Philosophy Master Full Time Mr Christopher Joseph Fusco
    2023 Principal Supervisor Secrets of Implicit Neural Representation Doctor of Philosophy Doctorate Full Time Mr Yiping Ji
    2021 Principal Supervisor Understanding Generalization and Memorization of Deep Neural Network from Distance and Rank Doctor of Philosophy Doctorate Full Time Mr Jianqiao Zheng
    2021 Principal Supervisor Compressed Representation of Signals using Quantized Implicit Neural Representations Doctor of Philosophy Doctorate Full Time Mr Cameron Gordon
    2021 Principal Supervisor Unsupervised Deep Geometry Doctor of Philosophy Doctorate Full Time Ms Xueqian Li
  • Position: Director
  • Phone: 83133495
  • Email: simon.lucey@adelaide.edu.au
  • Campus: Lot 14
  • Building: Australian Institute for Machine Learning Building, floor Ground Floor
  • Org Unit: Australian Institute for Machine Learning - Operations

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