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| Preview | Issue Date | Title | Author(s) |
| 2017 | A hierarchical model for recognizing alarming states in a batteryless sensor alarm intervention for preventing falls in older people | Shinmoto Torres, R.; Shi, Q.; van den Hengel, A.; Ranasinghe, D. |
| 2015 | A model-based approach to recovering the structure of a plant from images | Ward, B.; Bastian, J.; van den Hengel, A.; Pooley, D.; Rajendra, B.; Berger, B.; Tester, M.; Agapito, L.; Bronstein, M.; Rother, C.; 13th European Conference on Computer Vision Workshops (ECCV 2014) (6 Sep 2014 - 7 Sep 2014 : Zurich, Switzerland) |
| 2019 | Accurate imagery recovery using a multi-observation patch model | Zhang, L.; Wei, W.; Shi, Q.; Shen, C.; van den Hengel, A.; Zhang, Y. |
| 2020 | Accurate tensor completion via adaptive low-rank representation | Zhang, L.; Wei, W.; Shi, Q.; Shen, C.; van den Hengel, A.; Zhang, Y. |
| 2020 | Adaptive importance learning for improving lightweight image super-resolution network | Zhang, L.; Wang, P.; Shen, C.; Liu, L.; Wei, W.; Zhang, Y.; van den Hengel, A. |
| 2014 | Asymmetric pruning for learning cascade detectors | Paisitkriangkrai, S.; Shen, C.; van den Hengel, A. |
| 2014 | Characterness: an indicator of text in the wild | Li, Y.; Jia, W.; Shen, C.; van den Hengel, A. |
| 2018 | Cluster sparsity field: an internal hyperspectral imagery prior for reconstruction | Zhang, L.; Wei, W.; Zhang, Y.; Shen, C.; van den Hengel, A.; Shi, Q. |
| 2016 | Cross-convolutional-layer pooling for image recognition | Liu, L.; Shen, C.; van den Hengel, A. |
| 2021 | Dual-attention-guided network for ghost-free high dynamic range imaging | Yan, Q.; Gong, D.; Shi, J.Q.; van den Hengel, A.; Shen, C.; Reid, I.; Zhang, Y. |
| 2014 | Efficient dual approach to distance metric learning | Shen, C.; Kim, J.; Liu, F.; Wang, L.; van den Hengel, A. |
| 2016 | Efficient semidefinite branch-and-cut for MAP-MRF inference | Wang, P.; Shen, C.; van den Hengel, A.; Torr, P. |
| 2019 | End-to-end diagnosis and segmentation learning from cardiac magnetic resonance imaging | Snaauw, G.; Gong, D.; Maicas, G.; van den Hengel, A.; Niessen, W.J.; Verjans, J.; Carneiro, G.; IEEE International Symposium on Biomedical Imaging (ISBI) (8 Apr 2019 - 11 Apr 2019 : Venice, Italy) |
| 2007 | Generalised Principal Component Analysis: exploiting inherent parameter constraints | Chojnacki, W.; van den Hengel, A.; Brooks, M.J.; Braz, J.; Ranchordas, A.; Araujo, H.; Jorge, J.; 1st International Conferences on Computer Vision Theory and Applications (VISAPP 2006) and Computer Graphics Theory and Applications (GRAPP 2006) (25 Feb 2006 - 28 Feb 2006 : Setubal, Portugal) |
| 2018 | Goal-oriented visual question generation via intermediate rewards | Zhang, J.; Wu, Q.; Shen, C.; Zhang, J.; Lu, J.; van den Hengel, A.; Ferrari, V.; Hebert, M.; Sminchisescu, C.; Weiss, Y.; 15th European Conference on Computer Vision (ECCV 2018) (8 Sep 2018 - 14 Sep 2018 : Munich) |
| 2017 | Graph-structured representations for visual question answering | Teney, D.; Liu, L.; van den Hengel, A.; 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) (21 Jul 2017 - 26 Jul 2017 : Honolulu, HI) |
| 2015 | Guaranteed ellipse fitting with a confidence region and an uncertainty measure for centre, axes, and orientation | Szpak, Z.; Chojnacki, W.; van den Hengel, A. |
| 2018 | Image captioning and visual question answering based on attributes and external knowledge | Wu, Q.; Shen, C.; Wang, P.; Dick, A.; van den Hengel, A. |
| 2016 | Image co-localization by mimicking a good detector’s confidence score distribution | Li, Y.; Liu, L.; Shen, C.; van den Hengel, A.; Leibe, B.; Matas, J.; Sebe, N.; Welling, M.; 14th European Conference on Computer Vision (ECCV 2016) (11 Oct 2016 - 14 Oct 2016 : Amsterdam, Netherlands) |
| 1998 | Incorporating optical flow uncertainty information into a self-calibration procedure for a moving camera | Brooks, M.J.; Chojnacki, W.; Dick, A.; van den Hengel, A.; Kanatani, K.; Ohta, N.; ElHakim, S.F.; Gruen, A.; Electronic Imaging '99 (28 Jan 1999 - 29 Jan 1999 : San Jose, CA) |
