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.
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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.
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.
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.
Scopus32022 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.
Scopus42019 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.
Scopus322017 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.
Scopus22017 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.
Scopus552016 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.
Scopus38 WoS282015 Zhu, Y., & Lucey, S. (2015). Convolutional sparse coding for trajectory reconstruction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(3), 529-540.
Scopus88 WoS68 Europe PMC52013 Lucey, S., & Ashraf, A. B. (2013). Nearest neighbor classifier generalization through spatially constrained filters. Pattern Recognition, 46(1), 325-331.
Scopus5 WoS52013 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.
Scopus9 WoS8 Europe PMC22013 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.
Scopus55 WoS45 Europe PMC62012 Dhall, A., Goecke, R., Lucey, S., & Gedeon, T. (2012). Collecting large, richly annotated facial-expression databases from movies. IEEE Multimedia, 19(3), 34-41.
Scopus465 WoS3272012 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.
Scopus552011 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.
Scopus693 WoS5442011 Asthana, A., Lucey, S., & Goecke, R. (2011). Regression based automatic face annotation for deformable model building. Pattern Recognition, 44(10-11), 2598-2613.
Scopus16 WoS112011 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.
Scopus210 WoS160 Europe PMC362010 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.
Scopus36 WoS18 Europe PMC32010 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.
Scopus17 WoS122009 Lucey, S., & Chen, T. (2009). Patches in Vision. Eurasip Journal on Image and Video Processing, 2009, 2 pages.
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.
Scopus277 WoS217 Europe PMC482009 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.
Scopus33 WoS24 Europe PMC42008 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.
Scopus242008 Lucey, S., & Chen, T. (2008). A viewpoint invariant, sparsely registered, patch based, face verifier. International Journal of Computer Vision, 80(1), 58-71.
Scopus17 WoS122007 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.
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.
Scopus33 WoS202003 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.
Scopus11 WoS92003 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.
Scopus152003 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.
2002 Lucey, S., Sridharan, S., & Chandran, V. (2002). Adaptive mouth segmentation using chromatic features. Pattern Recognition Letters, 23(11), 1293-1302.
Scopus19 WoS122000 Lucey, S. (2000). Initialised eigenlip estimator for fast lip tracking using linear regression. Proceedings - International Conference on Pattern Recognition, 15(3), 178-181.
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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.
Scopus32015 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.
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Conference Papers
Year Citation 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. 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.
Scopus12023 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.
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.
Scopus12023 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 Saratchandran, H., Chng, S. F., Ramasinghe, S., MacDonald, L., & Lucey, S. (2023). Curvature-Aware Training for Coordinate Networks. In Proceedings of the IEEE International Conference on Computer Vision (pp. 13282-13292). FRANCE, Paris: IEEE COMPUTER SOC.
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. 2023 Li, X., Zheng, J., Ferroni, F., Pontes, J. K., & Lucey, S. (2023). Fast Neural Scene Flow. In Proceedings of the IEEE International Conference on Computer Vision (pp. 9844-9856). FRANCE, Paris: IEEE COMPUTER SOC.
2023 Chang, M. F., Sharma, A., Kaess, M., & Lucey, S. (2023). Neural Radiance Fields with LiDAR Maps. In Proceedings of the IEEE International Conference on Computer Vision (pp. 17868-17877). IEEE.
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.
Scopus2 WoS12022 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.
Scopus52022 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.
Scopus72022 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.
Scopus12022 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.
Scopus13 WoS22022 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.
Scopus82022 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.
Scopus17 WoS52022 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.
Scopus2 WoS22021 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.
Scopus19 WoS22021 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.
Scopus10 WoS72021 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.
Scopus40 WoS72021 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.
Scopus8 WoS72021 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.
Scopus197 WoS262021 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.
Scopus3 WoS22021 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.
Scopus4 WoS22021 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.
Scopus382020 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.
Scopus62020 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.
Scopus32020 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.
Scopus192020 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.
Scopus24 WoS132020 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.
Scopus82020 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.
Scopus42019 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.
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.
Scopus442019 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.
Scopus402019 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.
Scopus6922019 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.
Scopus472019 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.
Scopus5442019 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.
Scopus622019 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.
Scopus602019 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.
Scopus622019 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.
Scopus552018 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.
Scopus92018 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.
Scopus6 WoS52018 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.
Scopus2512018 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.
Scopus4472018 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.
Scopus22018 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.
Scopus1372018 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.
Scopus262018 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.
Scopus132017 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.
Scopus1152017 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.
Scopus722017 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.
Scopus2242017 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.
Scopus442017 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.
Scopus502017 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.
Scopus2842017 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.
Scopus10792017 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.
Scopus12017 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.
Scopus12017 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.
Scopus2 WoS12016 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.
Scopus102016 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.
Scopus162016 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.
Scopus242016 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.
Scopus132016 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.
Scopus382015 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.
Scopus292015 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.
Scopus3622015 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.
Scopus32015 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.
Scopus52015 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.
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.
Scopus12015 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.
Scopus45 WoS192014 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.
Scopus104 WoS742014 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.
Scopus11 WoS52014 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.
Scopus47 WoS392014 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.
Scopus142013 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.
Scopus52013 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.
Scopus15 WoS82013 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.
Scopus240 WoS1922013 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.
Scopus8 WoS22013 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.
Scopus2562012 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 WoS42012 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.
Scopus14 WoS122012 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.
Scopus46 WoS362012 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.
Scopus12012 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.
Scopus52012 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.
Scopus50 WoS272011 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.
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.
Scopus390 WoS1132011 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.
Scopus18 WoS122011 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.
Scopus23 WoS202011 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.
Scopus452011 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.
Scopus932011 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.
Scopus29 Europe PMC12011 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.
Scopus45 WoS12010 Ali, S., & Lucey, S. (2010). Are correlation filters useful for human action recognition?. In Proceedings - International Conference on Pattern Recognition (pp. 2608-2611). IEEE.
Scopus142010 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.
Scopus22010 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.
Scopus22 WoS192010 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.
Scopus142010 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.
Scopus15 WoS122009 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.
Scopus772009 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.
Scopus212009 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.
Scopus352009 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.
Scopus22009 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.
Scopus2892009 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.
Scopus162009 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.
Scopus782008 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.
Scopus142008 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.
Scopus22008 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.
Scopus72 WoS6 Europe PMC72008 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.
Scopus22008 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.
Scopus126 WoS16 Europe PMC22008 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.
Scopus90 WoS52007 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.
Scopus71 WoS462007 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.
Scopus9 WoS392006 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.
Scopus86 WoS462006 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.
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.
Scopus352005 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.
Scopus2 WoS12005 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.
Scopus52005 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.
Scopus22005 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.
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.
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.
Scopus83 WoS522004 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.
Scopus42004 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.
Scopus582004 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.
WoS402003 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).
Scopus312003 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.
Scopus2 WoS12002 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).
Scopus42001 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).
Scopus22001 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.
Scopus12001 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).
Scopus92001 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.
Scopus41999 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.
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 Saratchandran, H., Ramasinghe, S., & Lucey, S. (2024). From Activation to Initialization: Scaling Insights for Optimizing
Neural Fields.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.
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Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 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 2021 Co-Supervisor Visual Navigation in Unseen Environments using Reinforcement Learning Doctor of Philosophy Doctorate Full Time Mr Gregory Guoliang Min
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