Simon Lucey

Prof Simon Lucey

Director, Australian Institute for Machine Learning

Office of Engineering and Information Technology

College of Engineering and Information Technology

Simon Lucey, Ph.D., is the Director of the Australian Institute for Machine Learning (AIML) at the University of Adelaide, the nation's largest machine learning research group. Previously, he previously held key positions at Carnegie Mellon University's Robotics Institute, autonomous vehicle company Argo AI, and CSIRO. He is a scientific advisor on the Temporary AI Expert Committee for the Department of Industry, Science and Resources. 

Professor Lucey has received numerous career awards, including the 2024 AmCham Alliance Award for artificial intelligence and an Australian Research Council, Future Making Fellowship. With 11 patents in computer vision, over 300 publications, more than 19,700 citations, and an h-index of 62, his contributions to the field are widely recognised. 

His research focuses on computer vision, machine learning, and robotics, drawing inspiration from pioneering AI researchers to uncover computational and mathematical models underlying visual perception.

Year Citation
2025 Gordon, C., E. MacDonald, L., Saratchandran, H., & Lucey, S. (2025). D’OH: Decoder-Only Random Hypernetworks for Implicit Neural Representations. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 15478 LNCS, 128-147.
DOI
2025 Saratchandran, H., Wang, T. X., & Lucey, S. (2025). Weight Conditioning for Smooth Optimization of Neural Networks. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 15143 LNCS, 310-325.
DOI
2025 Chng, S. F., Garg, R., Saratchandran, H., & Lucey, S. (2025). Invertible Neural Warp for NeRF. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 15075 LNCS, 405-421.
DOI
2024 Saratchandran, H., Ramasinghe, S., & Lucey, S. (2024). From Activation to Initialization: Scaling Insights for Optimizing Neural Fields. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, abs/2403.19205, 413-422.
DOI Scopus3
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.
2024 Ch'ng, 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. Proceedings of Machine Learning Research, 235, 43422-43444.
Scopus1
2024 Saratchandran, H., Ch'ng, S. -F., & Lucey, S. (2024). Architectural Strategies for the optimization of Physics-Informed Neural Networks.. CoRR, abs/2402.02711.
2024 Saratchandran, H., Ch'ng, S. -F., & Lucey, S. (2024). Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate Networks.. CoRR, abs/2402.04783.
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 Scopus33 WoS18
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.
2022 Murdock, C., Cazenavette, G., & Lucey, S. (2022). Reframing Neural Networks: Deep Structure in Overcomplete Representations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(1), 1.
DOI Scopus3 WoS2
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 Scopus10 Europe PMC1
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 Scopus41
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 Scopus69
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 Scopus39 WoS29
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 Scopus94 WoS75 Europe PMC9
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 Scopus13 WoS12 Europe PMC8
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 Scopus60 WoS50 Europe PMC9
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 Scopus550 WoS441
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 Scopus56
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 Scopus713 WoS567
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 Scopus234 WoS187 Europe PMC60
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 Scopus37 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 Scopus289 WoS237 Europe PMC74
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 PMC7
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 Europe PMC2
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 Scopus36 WoS21
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 Scopus20 WoS13
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

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 Scopus5

Year Citation
2025 Ch'ng, S. -F., Saratchandran, H., & Lucey, S. (2025). Preconditioners for the Stochastic Training of Neural Fields.. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 27222-27232). Nashville, TN, USA: Computer Vision Foundation / IEEE.
DOI
2025 Garg, R., Chng, S. F., & Lucey, S. (2025). Direct Alignment for Robust NeRF Learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 15480 LNCS (pp. 88-104). Hanoi: Springer Nature Singapore.
DOI
2025 Ji, Y., Saratchandran, H., Gordon, C., Zhang, Z., & Lucey, S. (2025). EFFICIENT LEARNING WITH SINE-ACTIVATED LOW-RANK MATRICES. In 13th International Conference on Learning Representations Iclr 2025 (pp. 27194-27215). OpenReview.net.
Scopus1
2025 Fusco, C., Chng, S. F., Dabhi, M., & Lucey, S. (2025). Object Agnostic 3D Lifting in Space and Time. In Proceedings 2025 International Conference on 3D Vision 3dv 2025 (pp. 682-691). Singapore, Singapore: IEEE.
DOI
2025 Chodosh, N., Madan, A., Lucey, S., & Ramanan, D. (2025). SMORE: Simultaneous Map and Object REconstruction. In Proceedings 2025 International Conference on 3D Vision 3dv 2025 (pp. 446-456). Singapore, Singapore: IEEE.
DOI Scopus1
2025 Cazenavette, G., Julin, J., & Lucey, S. (2025). Rethinking the Role of Spatial Mixing. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp. 3210-3219). IEEE.
DOI
2024 Dabhi, M., Jeni, L. A., & Lucey, S. (2024). 3D-LFM: Lifting Foundation Model. In 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (pp. 10466-10475). WA, Seattle: IEEE COMPUTER SOC.
DOI Scopus6 WoS3
2024 Saratchandran, H., Wang, T. X., & Lucey, S. (2024). Weight Conditioning for Smooth Optimization of Neural Networks.. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler, & G. Varol (Eds.), ECCV (85) Vol. 15143 (pp. 310-325). Springer.
2024 Saratchandran, H., Ramasinghe, S., Shevchenko, V., Long, A., & Lucey, S. (2024). A sampling theory perspective on activations for implicit neural representations.. In ICML (pp. 23 pages). Vienna, Austria: OpenReview.net.
2024 Seidenschwarz, J., Ošep, A., Ferroni, F., Lucey, S., & Leal-Taixé, L. (2024). SeMoLi: What Moves Together Belongs Together. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 14685-14694). Seattle, WA, USA: IEEE.
DOI Scopus4
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 Scopus25 WoS5
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 Scopus12
2024 Saratchandran, H., Ramasinghe, S., & Lucey, S. (2024). From Activation to Initialization: Scaling Insights for Optimizing Neural Fields.. In CVPR (pp. 413-422). Seattle, WA, USA: IEEE.
2024 Saratchandran, H., Chng, S. -F., Ramasinghe, S., MacDonald, L. E., & Lucey, S. (2024). Curvature-Aware Training for Coordinate Networks. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023) (pp. 13282-13292). online: IEEE.
DOI Scopus1 WoS1
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 Scopus7 WoS2
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 Scopus5 WoS1
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 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 (pp. 20 pages). Online: Neural information processing systems foundation.
Scopus1
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.
Scopus4
2023 Gordon, C., Chng, S. F., MacDonald, L., & Lucey, S. (2023). On Quantizing Implicit Neural Representations. In Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV, 2023) (pp. 341-350). Online: IEEE.
DOI Scopus18 WoS14
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.
Scopus4
2023 Ramasinghe, S., Macdonald, L., & Lucey, S. (2023). On the Frequency-Bias of Coordinate-MLPs. In Advances in Neural Information Processing Systems Vol. 35 (pp. 14 pages). USA: Neural information processing systems foundation.
Scopus10
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 Scopus4 WoS3
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 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 Scopus5 WoS5
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 Scopus12 WoS11
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 Scopus19 WoS2
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 Scopus4
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 Scopus60 WoS56
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 Scopus73 WoS55
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 Scopus54 WoS29
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 Scopus16 WoS13
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.
Scopus95 WoS14
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 Scopus17 WoS14
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 Scopus71 WoS37
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 Scopus18 WoS16
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 Scopus563 WoS395
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 Scopus4 WoS4
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 Scopus16 WoS14
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.
Scopus76
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 Scopus8
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 Scopus40
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 Scopus54 WoS40
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 Scopus13
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 Scopus5
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 Scopus62
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 Scopus44
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 Scopus1229
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 Scopus60
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 Scopus878
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 Scopus122
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 Scopus81
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 Scopus88
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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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 (pp. 1-8). IEEE.
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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.
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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 (pp. 1-8). IEEE.
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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). AUSTRALIA, Adelaide: IEEE.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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 (pp. 1-8). IEEE.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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 (pp. 1-8). IEEE.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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). AUSTRALIA, Cairns: IEEE.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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). NY, Rye Brook: SPRINGER-VERLAG BERLIN.
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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.
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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 (pp. 73.1-73.10). British Machine Vision Association.
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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.
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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.
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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).
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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).
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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.
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Year Citation
2022 MacDonald, L. E., Saratchandran, H., Valmadre, J., & Lucey, S. (2022). A global analysis of global optimisation..

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

Year Citation
2025 Arunan, V., Nazar, S., Pramuditha, H., Viruthshaan, V., Ramasinghe, S., Lucey, S., & Rodrigo, R. (2025). DARB-Splatting: Generalizing Splatting with Decaying Anisotropic Radial
Basis Functions.
2024 Saratchandran, H., Zheng, J., Ji, Y., Zhang, W., & Lucey, S. (2024). Rethinking Attention: Polynomial Alternatives to Softmax in Transformers.
2024 Fusco, C., Ch'ng, S. -F., Dabhi, M., & Lucey, S. (2024). Object Agnostic 3D Lifting in Space and Time.
2024 Li, X., & Lucey, S. (2024). Fast Kernel Scene Flow.
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.
2024 Chng, S. -F., Garg, R., Saratchandran, H., & Lucey, S. (2024). Invertible Neural Warp for NeRF.
2024 Saratchandran, H., Wang, T. X., & Lucey, S. (2024). Weight Conditioning for Smooth Optimization of Neural Networks.
2024 Saratchandran, H., Ramasinghe, S., Shevchenko, V., Long, A., & Lucey, S. (2024). A Sampling Theory Perspective on Activations for Implicit Neural
Representations.
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.
2023 Li, X., Zheng, J., Ferroni, F., Pontes, J. K., & Lucey, S. (2023). Fast Neural Scene Flow.
2023 Saratchandran, H., Ch'ng, S. -F., Ramasinghe, S., MacDonald, L. E., & Lucey, S. (2023). Curvature-Aware Training for Coordinate Networks..

Professor Lucey has had numerous sources of funding from industry and the ARC. Please send him your CV if you are interested in pursuing a PhD or Post-Doc. 

Date Role Research Topic Program Degree Type Student Load Student Name
2025 Principal Supervisor 3D applications of Artificial Intelligence Master of Philosophy Master Full Time Mr Irhas Muhammad Gill
2025 Co-Supervisor Transformers for Generative Multimodal AI Master of Philosophy Master Full Time Mr Zachary Liptak Shinnick
2025 Principal Supervisor Exploring complex encoding and Instant NGP for efficient positional encoding in machine learning models Master of Philosophy Master Full Time Mr Runze Xu
2025 Principal Supervisor Advancing Signal Modelling with Physics-Informed Neural Networks. Doctor of Philosophy Doctorate Full Time Mr Ajeendra Panicker
2025 Principal Supervisor Implicit Neural Representations-Neural Prior and Beyond Doctor of Philosophy Doctorate Full Time Mr Mingze Ma
2025 Co-Supervisor Transformers for Generative Multimodal AI Master of Philosophy Master Full Time Mr Zachary Liptak Shinnick
2025 Principal Supervisor Exploring complex encoding and Instant NGP for efficient positional encoding in machine learning models Master of Philosophy Master Full Time Mr Runze Xu
2025 Principal Supervisor Implicit Neural Representations-Neural Prior and Beyond Doctor of Philosophy Doctorate Full Time Mr Mingze Ma
2025 Principal Supervisor 3D applications of Artificial Intelligence Master of Philosophy Master Full Time Mr Irhas Muhammad Gill
2025 Principal Supervisor Advancing Signal Modelling with Physics-Informed Neural Networks. Doctor of Philosophy Doctorate Full Time Mr Ajeendra Panicker
2024 Co-Supervisor Physical adversarial attacks against machine learning models for satellite imagery Doctor of Philosophy Doctorate Full Time Mr Harrison Taylor Bagley
2024 Co-Supervisor Physical adversarial attacks against machine learning models for satellite imagery Doctor of Philosophy Doctorate Full Time Mr Harrison Taylor Bagley
2023 Principal Supervisor Understanding Sparse Geometry of 3D Objects in the Wild 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
2023 Principal Supervisor Secrets of Implicit Neural Representation Doctor of Philosophy Doctorate Full Time Mr Yiping Ji
2023 Principal Supervisor Understanding Sparse Geometry of 3D Objects in the Wild Master of Philosophy Master Full Time Mr Christopher Joseph Fusco
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 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

Date Role Research Topic Program Degree Type Student Load Student Name
2021 - 2025 Principal Supervisor The Role of Rank in Efficient Learning Doctor of Philosophy Doctorate Full Time Mr Jianqiao Zheng

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