Showing results 63 to 82 of 159
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| Preview | Issue Date | Title | Author(s) |
| 2014 | Fast approximate L∞ minimization: speeding up robust regression | Shen, F.; Shen, C.; Hill, R.; Van Den Hengel, A.; Tang, Z. |
| 2016 | Fast detection of multiple objects in traffic scenes with a common detection framework | Hu, Q.; Paisitkriangkrai, S.; Shen, C.; Van Den Hengel, A.; Porikli, F. |
| 2005 | Fast global kernel density mode seeking with application to localisation and tracking | Shen, C.; Brooks, M.; Van Den Hengel, A.; Ma, S.; Shum, H.; IEEE International Conference on Computer Vision (10th : 2005 : Beijing, China) |
| 2007 | Fast global kernel density mode seeking: Applications to localization and tracking | Shen, C.; Brooks, M.; Van Den Hengel, A. |
| 2016 | Fast machine-learning online optimization of ultra-cold-atom experiments | Wigley, P.; Everitt, P.; Van Den Hengel, A.; Bastian, J.; Sooriyabandara, M.; Mcdonald, G.; Hardman, K.; Quinlivan, C.; Manju, P.; Kuhn, C.; Petersen, I.; Luiten, A.; Hope, J.; Robins, N.; Hush, M. |
| 2014 | Fast supervised hashing with decision trees for high-dimensional data | Lin, G.; Shen, C.; Shi, Q.; Van Den Hengel, A.; Suter, D.; IEEE Conference on Computer Vision and Pattern Recognition (2014 : Columbus, Ohio) |
| 2012 | Fast training of effective multi-class boosting using coordinate descent optimization | Lin, G.; Shen, C.; Van Den Hengel, A.; Suter, D.; Asian Conference on Computer Vision (11th : 2012 : Daejeon, Korea) |
| 2007 | Finding camera overlap in large surveillance networks | Van Den Hengel, A.; Dick, A.; Detmold, H.; Cichowski, A.; Hill, R.; Yasushi Yagi,; Asian Conference on Computer Vision (8th : 2007 : Tokyo, Japan) |
| 2006 | Fitting multiple models to multiple images with minimal user interaction | Van Den Hengel, A.; Dick, A.; Thormaehlen, T.; Torr, P.; Ward, B.; Horaud, R.; Schnorr, C.; Torr, P.; Tsotsos, J.; International Workshop on The Representation and Use of Prior Knowledge in Vision (2006 : Graz, Austria) |
| 2003 | FNS and HEIV: relating two vision parameter estimation frameworks | Chojnacki, W.; Brooks, M.; Van Den Hengel, A.; Gawley, D.; Feretti, M.; International Conference on Image Analysis and Processing (12th : 2003 : Mantova, Italy) |
| 2005 | FNS, CFNS and HEIV: A unifying approach | Chojnacki, W.; Brooks, M.; Van Den Hengel, A.; Gawley, D. |
| 2003 | FNS, CFNS, and HEIV: extending three vision parameter estimation methods | Chojnacki, W.; Brooks, M.; Van Den Hengel, A.; Gawley, D.; Sun, C.; Talbot, H.; Ourselin, S.; Adriaansen, T.; Biennial Australian Pattern Recognition Society Conference (7th : 2003 : Sydney, NSW.) |
| 2004 | From FNS to HEIV: A link between two vision parameter estimation methods | Chojnacki, W.; Brooks, M.; Van Den Hengel, A.; Gawley, D. |
| 2013 | Fully corrective boosting with arbitrary loss and regularization | Shen, C.; Li, H.; Van Den Hengel, A. |
| 2000 | Fundamental matrix from optical flow: optimal computation and reliability evaluation | Kanatani, K.; Shimizu, Y.; Ohta, N.; Brooks, M.; Chojnacki, W.; Van Den Hengel, A. |
| 2017 | FVQA: fact-based Visual Question Answering | Wang, P.; Wu, Q.; Shen, C.; Dick, A.; Van Den Hengel, A. |
| 2011 | Graph mode-based contextual kernels for robust SVM tracking | Li, X.; Dick, A.; Wang, H.; Shen, C.; Van Den Hengel, A.; International Conference on Computer Vision (13th : 2011 : Barcelona, Spain) |
| 2012 | Guaranteed ellipse fitting with the Sampson distance | Szpak, Z.; Chojnacki, W.; Van Den Hengel, A.; Fitzgibbon, A.; Lazebnik, S.; Perona, P.; Sato, Y.; Schmid, C.; European Conference on Computer Vision (12th : 2012 : Florence, Italy) |
| 2015 | Hashing on nonlinear manifolds | Shen, F.; Shen, C.; Shi, Q.; Van Den Hengel, A.; Tang, Z.; Shen, H. |
| 2018 | HCVRD: A benchmark for large-scale human-centered visual relationship detection | Zhuang, B.; Wu, Q.; Shen, C.; Reid, I.; Van Den Hengel, A.; AAAI Conference on Artificial Intelligence (AAAI) (2 Feb 2018 - 7 Feb 2018 : New Orleans) |
