Bi, Q., You, S., & Gevers, T. (2024). Learning Content-Enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation. In M. Wooldridge, J. Dy, & S. Natarajan (Eds.), Proceedings of the 38th AAAI Conference on Artificial Intelligence: AAAI-2024 (Vol. 2, pp. 819-827). AAAI Press. https://doi.org/10.1609/aaai.v38i2.27840[details]
Bi, Q., You, S., & Gevers, T. (2024). Learning Generalized Segmentation for Foggy-scenes by Bi-directional Wavelet Guidance. In M. Wooldridge, J. Dy, & S. Natarajan (Eds.), Proceedings of the 38th AAAI Conference on Artificial Intelligence: AAAI-2024 (Vol. 2, pp. 801-809). AAAI Press. https://doi.org/10.1609/aaai.v38i2.27838[details]
Bi, Q., You, S., Ji, W., & Gevers, T. (2023). Learning rotation equivalent scene representation from instance-level semantics: A novel top-down perspective. Computer Vision and Image Understanding, 229, Article 103635. Advance online publication. https://doi.org/10.1016/j.cviu.2023.103635[details]
Das, P., Gevers, M., Karaoglu, S., & Gevers, T. (2023). IDTransformer: Transformer for Intrinsic Image Decomposition. In 2023 IEEE/CVF International Conference on Computer Vision Workshops: proceedings: ICCVW 2023 : Paris, France, 2-6 October 2023 (pp. 816-825). IEEE Computer Society. https://doi.org/10.1109/ICCVW60793.2023.00089[details]
Das, P., Karaoğlu, S., Gijsenij, A., & Gevers, T. (2023). SIGNet: Intrinsic Image Decomposition by a Semantic and Invariant Gradient Driven Network for Indoor Scenes. In L. Karlinsky, T. Michaeli, & K. Nishino (Eds.), Computer Vision – ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022 : proceedings (Vol. III, pp. 605-620). (Lecture Notes in Computer Science; Vol. 13803). Springer. https://doi.org/10.1007/978-3-031-25066-8_35[details]
Doomen, M. C. H. A., Rijpma, D., Pijpe, A., Meij-de Vries, A., Niessen, F. B., Karaoglu, S., de Vet, H. C. W., Gevers, T., & van Zuijlen, P. P. M. (2023). A clinimetric assessment of the validity and reliability of 3D technology for scar surface area measurement. Burns, 49(3), 583-594. https://doi.org/10.1016/j.burns.2022.12.008[details]
Groenendijk, R., Dorst, L., & Gevers, T. (2023). Geometric Back-Propagation in Morphological Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(11), 14045-14051. https://doi.org/10.1109/TPAMI.2023.3290615[details]
Wei, W., Oswald, M. R., Karimi Nejadasl, F., & Gevers, T. (2023). APNet: Urban-Level Scene Segmentation of Aerial Images and Point Clouds. In 2023 IEEE/CVF International Conference on Computer Vision Workshops: proceedings: ICCVW 2023 : Paris, France, 2-6 October 2023 (pp. 1747-1756). IEEE Computer Society. https://doi.org/10.48550/arXiv.2309.17162, https://doi.org/10.1109/ICCVW60793.2023.00191[details]
Xing, X., Groh, K., Karaoglu, S., & Gevers, T. (2023). Intrinsic Appearance Decomposition Using Point Cloud Representation. In 2023 IEEE/CVF International Conference on Computer Vision Workshops: proceedings: ICCVW 2023 : Paris, France, 2-6 October 2023 (pp. 4234-4238). IEEE Computer Society. https://doi.org/10.1109/ICCVW60793.2023.00457[details]
Ülger, O., Wang, Y., Galama, Y., Karaoglu, S., Gevers, T., & Oswald, M. R. (2023). Relational Prior Knowledge Graphs for Detection and Instance Segmentation. In 2023 IEEE/CVF International Conference on Computer Vision Workshops: proceedings: ICCVW 2023 : Paris, France, 2-6 October 2023 (pp. 53-61). IEEE Computer Society. https://doi.org/10.48550/arXiv.2310.07573, https://doi.org/10.1109/ICCVW60793.2023.00012[details]
Ngô, L. M., Karaoğlu, S., & Gevers, T. (2022). Self-supervised Face Image Manipulation by Conditioning GAN on Face Decomposition. IEEE Transactions on Multimedia, 24, 377-385. Advance online publication. https://doi.org/10.1109/TMM.2021.3050672[details]
Yin, R., Karaoglu, S., & Gevers, T. (2022). Distortion-aware Depth Estimation with Gradient Priors from Panoramas of Indoor Scenes. In Proceedings : 2022 International Conference on 3D Vision: 3DV 2022 : Prague, Czechia, 12-15 September 2022 (pp. 134-143). IEEE Computer Society, Conference Publishing Services. https://doi.org/10.1109/3DV57658.2022.00026[details]
Zhang, Y., You, S., Karaoglu, S., & Gevers, T. (2022). Monocular 3D Human Pose Estimation and Action Recognition using Fisheye Cameras: A Survey and Benchmark. Manuscript submitted for publication.
Zhang, Y., You, S., Karaoglu, S., & Gevers, T. (2022). Multi-person 3D Pose estimation from a single image captured by a fisheye camera. Computer Vision and Image Understanding, 222, Article 103505. Advance online publication. https://doi.org/10.1016/j.cviu.2022.103505[details]
Zhang, Y., You, S., Karaoglu, S., & Gevers, T. (2022). Pose Guided Human Motion Transfer by Exploiting 2D and 3D Information. In Proceedings : 2022 International Conference on 3D Vision: 3DV 2022 : Prague, Czechia, 12-15 September 2022 (pp. 587-595). IEEE Computer Society, Conference Publishing Services. https://doi.org/10.1109/3DV57658.2022.00069[details]
van Minnen, A., ter Heide, F. J. J., Koolstra, T., de Jongh, A., Karaoglu, S., & Gevers, T. (2022). Initial development of perpetrator confrontation using deepfake technology in victims with sexual violence-related PTSD and moral injury. Frontiers in Psychiatry, 13, Article 882957. https://doi.org/10.3389/fpsyt.2022.882957[details]
Baslamisli, A. S., & Gevers, T. (2021). Invariant Descriptors for Intrinsic Reflectance Optimization. Journal of the Optical Society of America. A, Optics, Image Science and Vision, 38(6), 887-896. Advance online publication. https://doi.org/10.1364/JOSAA.414682[details]
Groenendijk, R., Karaoglu, S., Gevers, T., & Mensink, T. (2021). Multi-Loss Weighting with Coefficient of Variations. In 2021 IEEE Winter Conference on Applications of Computer Vision: proceedings : 5-9 January 2021, virtual event (pp. 1468-1477). (WACV). IEEE Computer Society. https://doi.org/10.1109/WACV48630.2021.00151[details]
Han, J., Karaoglu, S., Le, H-A., & Gevers, T. (2021). Object features and face detection performance: Analyses with 3D-rendered synthetic data. In Proceedings of ICPR 2020: 25th International Conference on Pattern Recognition : Milan, 10-15 January 2021 (pp. 9959-9966). IEEE. https://doi.org/10.1109/ICPR48806.2021.9412915[details]
Han, J., Wang, W., Karaoglu, S., Zeng, W., & Gevers, T. (2021). Pose invariant age estimation of face images in the wild. Computer Vision and Image Understanding, 202, Article 103123. Advance online publication. https://doi.org/10.1016/j.cviu.2020.103123[details]
Lê, H-A., Mensink, T., Das, P., Karaoglu, S., & Gevers, T. (2021). EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes. In 2021 IEEE Winter Conference on Applications of Computer Vision: proceedings : 5-9 January 2021, virtual event (pp. 1578-1588). (WACV). IEEE Computer Society. https://doi.org/10.1109/WACV48630.2021.00162[details]
Lê, H. -Â., Nimbhorkar, T., Mensink, T., Baslamisli, A. S., Karaoglu, S., & Gevers, T. (2021). Automatic generation of dense non-rigid optical flow. Computer Vision and Image Understanding, 212, Article 103274. Advance online publication. https://doi.org/10.1016/j.cviu.2021.103274[details]
Ngô, L. M., Wang, W., Mandira, B., Karaoğlu, S., Bouma, H., Dibeklioğlu, H., & Gevers, T. (2021). Identity Unbiased Deception Detection by 2D-to-3D Face Reconstruction. In 2021 IEEE Winter Conference on Applications of Computer Vision: proceedings : 5-9 January 2021, virtual event (pp. 145-154). (WACV). IEEE Computer Society. https://doi.org/10.1109/WACV48630.2021.00019[details]
Zhang, Y., You, S., & Gevers, T. (2021). Automatic Calibration of the Fisheye Camera for Egocentric 3D Human Pose Estimation from a Single Image. In 2021 IEEE Winter Conference on Applications of Computer Vision: proceedings : 5-9 January 2021, virtual event (pp. 1771-1780). (WACV). IEEE Computer Society. https://doi.org/10.1109/WACV48630.2021.00181[details]
Zhang, Y., You, S., & Gevers, T. (2021). Orthographic Projection Linear Regression for Single Image 3D Human Pose Estimation. In Proceedings of ICPR 2020: 25th International Conference on Pattern Recognition : Milan, 10-15 January 2021 (pp. 8109-8116). IEEE. https://doi.org/10.1109/ICPR48806.2021.9412127[details]
2020
Dibeklioğlu, H., & Gevers, T. (2020). Automatic Estimation of Taste Liking through Facial Expression Dynamics. IEEE Transactions on Affective Computing, 11(1), 151-163. Advance online publication. https://doi.org/10.1109/TAFFC.2018.2832044[details]
Groenendijk, R., Karaoglu, S., Gevers, T., & Mensink, T. (2020). On the benefit of adversarial training for monocular depth estimation. Computer Vision and Image Understanding, 190, Article 102848. Advance online publication. https://doi.org/10.1016/j.cviu.2019.102848[details]
Lê, H. A., Mensink, T. E. J., Das, P., & Gevers, T. (2020). Novel View Synthesis from Single Images via Point Cloud Transformation. In The 31st British Machine Vision Virtual Conference: 7th - 10th September 2020 BMVA Press.
Wang, W., You, S., & Gevers, T. (2020). Kinship Identification Through Joint Learning Using Kinship Verification Ensembles. In A. Vedaldi, H. Bischof, T. Brox, & J-M. Frahm (Eds.), Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020 : proceedings (Vol. XXII, pp. 613-628). (Lecture Notes in Computer Science; Vol. 12367). Springer. https://doi.org/10.1007/978-3-030-58542-6_37[details]
Zeng, W., Karaoglu, S., & Gevers, T. (2020). Joint 3D Layout and Depth Predication from a Single Indoor Panorama Image. In A. Vedaldi, H. Bischof, T. Brox, & J-M. Frahm (Eds.), Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020 : proceedings (Vol. XVI, pp. 666-682). (Lecture Notes in Computer Science; Vol. 12361). Springer. https://doi.org/10.1007/978-3-030-58517-4_39[details]
2019
Quintana, M., Karaoglu, S., Alvarez, F., Menendez, J. M., & Gevers, T. (2019). Three-D Wide Faces (3DWF): Facial Landmark Detection and 3D Reconstruction over a New RGB-D Multi-Camera Dataset. Sensors, 19(5), Article 1103. https://doi.org/10.3390/s19051103[details]
Savov, N., Ngo, M. L., Karaoğlu, S., Dibeklioğlu, H., & Gevers, T. (2019). Pose and Expression Robust Age Estimation via 3D Face Reconstruction from a Single Image. In 2019 International Conference on Computer Vision, Workshops: proceedings : 27 October-2 November 2019, Seoul, Korea (pp. 1270-1278). IEEE Computer Society. https://doi.org/10.1109/ICCVW.2019.00160[details]
Veltmeijer, E., Karaoglu, S., & Gevers, T. (2019). Integrating clinically-relevant features into skin lesion classification. In K. Beuls, B. Bogaerts, G. Bontempi, P. Geurts, N. Harley, B. Lebichot, T. Lenaerts, G. Louppe, & P. Van Eecke (Eds.), Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019): Brussels, Belgium, November 6-8, 2019 Article 127 (CEUR Workshop Proceedings; Vol. 2491). CEUR-WS. http://ceur-ws.org/Vol-2491/abstract127.pdf[details]
Zeng, W., & Gevers, T. (2019). 3DContextNet: K-d Tree Guided Hierarchical Learning of Point Clouds Using Local Contextual Cues. In L. Leal-Taixé, & S. Roth (Eds.), Computer Vision – ECCV 2018 Workshops: Munich, Germany, September 8-14, 2018 : proceedings (Vol. III, pp. 314-330). (Lecture Notes in Computer Science; Vol. 11131). Springer. https://doi.org/10.1007/978-3-030-11015-4_24[details]
Baslamisli, A. S., Groenestege, T. T., Das, P., Le, H-A., Karaoglu, S., & Gevers, T. (2018). Joint Learning of Intrinsic Images and Semantic Segmentation. In V. Ferrari, M. Hebert, C. Sminchisescu, & Y. Weiss (Eds.), Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8-14, 2018: proceedings (Vol. VI, pp. 289-305). (Lecture Notes in Computer Science; Vol. 11210). Springer. https://doi.org/10.1007/978-3-030-01231-1_18[details]
Baslamisli, A. S., Le, H-A., & Gevers, T. (2018). CNN based Learning using Reflection and Retinex Models for Intrinsic Image Decomposition. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : 18-22 June 2018, Salt Lake City, Utah (pp. 6674-6683). IEEE Computer Society. https://doi.org/10.1109/CVPR.2018.00698[details]
Le, H-A., Baslamisli, A. S., Mensink, T., & Gevers, T. (2018). Three for one and one for three: Flow, Segmentation, and Surface Normals. In British Machine Vision Conference 2018: BMVC 2018, Newcastle, UK, September 3-6, 2018 Article 201 BMVA Press. [details]
Lou, Z., Alnajar, F., Alvarez, J. M., Hu, N., & Gevers, T. (2018). Expression-invariant Age Estimation Using Structured Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(2), 365-375. Advance online publication. https://doi.org/10.1109/TPAMI.2017.2679739[details]
2017
Alnajar, F., Gevers, T., Valenti, R., & Ghebreab, S. (2017). Auto-Calibrated Gaze Estimation Using Human Gaze Patterns. International Journal of Computer Vision, 124(2), 223-236. Advance online publication. https://doi.org/10.1007/s11263-017-1014-x[details]
Karaoglu, S., Liu, Y., Gevers, T., & Smeulders, A. W. M. (2017). Point Light Source Position Estimation From RGB-D Images by Learning Surface Attributes. IEEE Transactions on Image Processing, 26(11), 5149-5159 . Advance online publication. https://doi.org/10.1109/TIP.2017.2731619[details]
Karaoglu, S., Tao, R., Gevers, T., & Smeulders, A. W. M. (2017). Words Matter: Scene Text for Image Classification and Retrieval. IEEE Transactions on Multimedia, 19(5), 1063-1076. Advance online publication. https://doi.org/10.1109/TMM.2016.2638622[details]
Karaoglu, S., Tao, R., van Gemert, J. C., & Gevers, T. (2017). Con-Text: Text Detection for Fine-Grained Object Classification. IEEE Transactions on Image Processing, 26(8), 3965-3980. Advance online publication. https://doi.org/10.1109/TIP.2017.2707805[details]
2016
Karaoglu, S., Liu, Y., & Gevers, T. (2016). Detect2Rank: Combining Object Detectors Using Learning to Rank. IEEE Transactions on Image Processing, 25(1), 233-248. Advance online publication. https://doi.org/10.1109/TIP.2015.2499702[details]
2015
Alnajar, F., Gevers, T., & Karaoglu, S. (2015). Age estimation under changes in image quality: An experimental study. In 2015 IEEE International Conference on Image Processing: ICIP 2015: proceedings: 27-30 September 2015, Québec City, Canada (pp. 3987-3991). IEEE. https://doi.org/10.1109/ICIP.2015.7351554[details]
Dibeklioğlu, H., Alnajar, F., Salah, A. A., & Gevers, T. (2015). Combining Facial Dynamics With Appearance for Age Estimation. IEEE Transactions on Image Processing, 24(6), 1928-1943. https://doi.org/10.1109/TIP.2015.2412377[details]
Karaoglu, S., Everts, I., van Gemert, J. C., & Gevers, T. (2015). Per-patch metric learning for robust image matching. In 2015 IEEE International Conference on Image Processing: ICIP 2015: proceedings: 27-30 September 2015, Québec City, Canada (pp. 3846-3850). IEEE. https://doi.org/10.1109/ICIP.2015.7351525[details]
Liu, Y., Gevers, T., & Li, X. (2015). Estimation of Sunlight Direction Using 3D Object Models. IEEE Transactions on Image Processing, 24(3), 932-942. Advance online publication. https://doi.org/10.1109/TIP.2014.2378032[details]
Lou, Z., Gevers, T., & Hu, N. (2015). Extracting 3D Layout From a Single Image Using Global Image Structures. IEEE Transactions on Image Processing, 24(10), 3098-3108. https://doi.org/10.1109/TIP.2015.2431443[details]
Lou, Z., Gevers, T., Hu, N., & Lucassen, M. P. (2015). Color Constancy by Deep Learning. In X. Xie, M. W. Jones, & G. K. L. Tam (Eds.), Proceedings of the British Machine Vision Conference 2015: BMVC 2015: 7-10 September, Swansea, UK (pp. 76.1-76.12). BMVA Press. https://doi.org/10.5244/C.29.76[details]
Tasli, H. E., Sicre, R., & Gevers, T. (2015). SuperPixel based mid-level image description for image recognition. Journal of Visual Communication and Image Representation, 33, 301-308. https://doi.org/10.1016/j.jvcir.2015.09.021[details]
2014
Alnajar, F., Lou, Z., Alvarez, J., & Gevers, T. (2014). Expression-Invariant Age Estimation. In M. Valstar, A. French, & T. Pridmore (Eds.), Proceedings of the British Machine Vision Conference 2014 (pp. 14.1-14.11). BMVA Press. https://doi.org/10.5244/C.28.14[details]
Blom, P. M., Bakkes, S., Tan, C. T., Whiteson, S., Roijers, D., Valenti, R., & Gevers, T. (2014). Towards Personalised Gaming via Facial Expression Recognition. In I. Horswill, & A. Jhala (Eds.), Proceedings of the Tenth Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE 2014) (pp. 30-36). AAAI Press. http://www.aaai.org/Press/Proceedings/aiide14.php[details]
Elfiky, N., Gevers, T., Gijsenij, A., & Gonzàlez, J. (2014). Color Constancy using 3D Scene Geometry Derived from a Single Image. IEEE Transactions on Image Processing, 23(9), 3855-3868. https://doi.org/10.1109/TIP.2014.2336545[details]
Everts, I., van Gemert, J. C., & Gevers, T. (2014). Evaluation of Color Spatio-Temporal Interest Points for Human Action Recognition. IEEE Transactions on Image Processing, 23(4), 1569-1580. https://doi.org/10.1109/TIP.2014.2302677[details]
Everts, I., van Gemert, J. C., Mensink, T., & Gevers, T. (2014). Robustifying Descriptor Instability using Fisher Vectors. IEEE Transactions on Image Processing, 23(12), 5698-5706. https://doi.org/10.1109/TIP.2014.2365955[details]
Álvarez, J. M., López, A. M., Gevers, T., & Lumbreras, F. (2014). Combining Priors, Appearance, and Context for Road Detection. IEEE Transactions on Intelligent Transportation Systems, 15(3), 1168-1178. https://doi.org/10.1109/TITS.2013.2295427[details]
2013
Alnajar, F., Gevers, T., Valenti, R., & Ghebreab, S. (2013). Calibration-Free Gaze Estimation Using Human Gaze Patterns. In 2013 IEEE International Conference on Computer Vision: ICCV 2013 : proceedings: 1-8 December 2013, Sydney, NSW, Australia (pp. 137-144). IEEE Computer Society. https://doi.org/10.1109/ICCV.2013.24[details]
Dibeklioğlu, H., Salah, A. A., & Gevers, T. (2013). Like Father, Like Son: Facial Expression Dynamics for Kinship Verification. In 2013 IEEE International Conference on Computer Vision: ICCV 2013 : proceedings: 1-8 December 2013, Sydney, NSW, Australia (pp. 1497-1504). IEEE Computer Society. https://doi.org/10.1109/ICCV.2013.189[details]
Everts, I., van Gemert, J. C., & Gevers, T. (2013). Evaluation of Color STIPs for Human Action Recognition. In Proceedings: 2013 IEEE Conference on Computer Vision and Pattern Recognition: CVPR 2013 : 23-28 June 2013, Portland, Oregon, USA (pp. 2850-2857). IEEE Computer Society, Conference Publishing Services. https://doi.org/10.1109/CVPR.2013.367[details]
Karaoglu, S., van Gemert, J. C., & Gevers, T. (2013). Con-Text: Text Detection Using Background Connectivity for Fine-Grained Object Classification. In MM '13: proceedings of the 2013 ACM Multimedia Conference : October 21-25, 2013, Barcelona, Spain (Vol. 2, pp. 757-760). ACM. https://doi.org/10.1145/2502081.2502197[details]
Tasli, H. E., Cigla, C., Gevers, T., & Alatan, A. A. (2013). Super Pixel Extraction Via Convexity Induced Boundary Adaptation. In 2013 IEEE International Conference on Multimedia and Expo (ICME 2013): San Jose, California, USA, 15-19 July 2013 (Vol. 1, pp. 353-358). IEEE. https://doi.org/10.1109/ICME.2013.6607465[details]
Tasli, H. E., van Gemert, J. C., & Gevers, T. (2013). Spot the Differences: From a Photograph Burst to the Single Best Picture. In MM '13: proceedings of the 2013 ACM Multimedia Conference : October 21-25, 2013, Barcelona, Spain (Vol. 2, pp. 729-732). ACM. https://doi.org/10.1145/2502081.2502190[details]
Uijlings, J. R., van de Sande, K. E. A., Gevers, T., & Smeulders, A. W. M. (2013). Selective Search for Object Recognition. International Journal of Computer Vision, 104(2), 154-171. https://doi.org/10.1007/s11263-013-0620-5[details]
Yücel, Z., Salah, A. A., Meriçli, C., Meriçli, T., Valenti, R., & Gevers, T. (2013). Joint attention by gaze interpolation and saliency. IEEE transactions on systems, man and cybernetics. Part B, Cybernetics, 43(3), 829-842. https://doi.org/10.1109/TSMCB.2012.2216979[details]
2012
Alnajar, F., Shan, C., Gevers, T., & Geusebroek, J. M. (2012). Learning-based encoding with soft assignment for age estimation under unconstrained imaging conditions. Image and Vision Computing, 30(12), 946-953. https://doi.org/10.1016/j.imavis.2012.07.009[details]
Alvarez, J. M., Gevers, T., LeCun, Y., & Lopez, A. M. (2012). Road Scene Segmentation from a Single Image. In A. Fitzgibbon, S. Lazebnik, P. Perona, Y. Sato, & C. Schmid (Eds.), Computer Vision – ECCV 2012: 12th European Conference on Computer Vision: Florence, Italy, October 7-13, 2012: proceedings (Vol. 7, pp. 376-389). (Lecture Notes in Computer Science; Vol. 7578). Springer. https://doi.org/10.1007/978-3-642-33786-4_28[details]
Alvarez, J. M., LeCun, Y., Gevers, T., & Lopez, A. M. (2012). Semantic Road Segmentation Via Multi-Scale Ensembles of Learned Features. In A. Fusiello, V. Murino, & R. Cucchiara (Eds.), Computer Vision – ECCV 2012 : Workshops and Demonstrations: Florence, Italy, October 7-13, 2012: proceedings (Vol. 2, pp. 586-595). (Lecture Notes in Computer Science; Vol. 7584). Springer. https://doi.org/10.1007/978-3-642-33868-7_58[details]
Alvarez, J. M., Lumbreras, F., Lopez, A. M., & Gevers, T. (2012). Understanding road scenes using visual cues and GPS information. In A. Fusiello, V. Murino, & R. Cucchiara (Eds.), Computer Vision – ECCV 2012 : Workshops and Demonstrations: Florence, Italy, October 7-13, 2012: proceedings (Vol. 3, pp. 635-638). (Lecture Notes in Computer Science; Vol. 7585). Springer. https://doi.org/10.1007/978-3-642-33885-4_70[details]
Dibeklioglu, H., Salah, A. A., & Gevers, T. (2012). Are you really smiling at me? Spontaneous versus posed enjoyment smiles. In A. Fitzgibbon, S. Lazebnik, P. Perona, Y. Sato, & C. Schmid (Eds.), Computer Vision – ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012 : proceedings (Vol. 3, pp. 525-538). (Lecture Notes in Computer Science; Vol. 7574). Springer. https://doi.org/10.1007/978-3-642-33712-3_38[details]
Dibeklioğlu, H., Gevers, T., Salah, A. A., & Valenti, R. (2012). A smile can reveal your age: enabling facial dynamics in age estimation. In MM'12 : the proceedings of the 20th ACM international conference on multimedia, co-located with ACM Multimedia 2012, October 29-November 2, 2012, Nara, Japan (pp. 209-218). Association for Computing Machinery. https://doi.org/10.1145/2393347.2393382[details]
Dibeklioğlu, H., Salah, A. A., & Gevers, T. (2012). A statistical method for 2D facial landmarking. IEEE Transactions on Image Processing, 21(2), 844-858. https://doi.org/10.1109/TIP.2011.2163162[details]
Everts, I., van Gemert, J. C., & Gevers, T. (2012). Per-patch descriptor selection using surface and scene properties. In A. Fitzgibbon, S. Lazebnik, P. Perona, Y. Sato, & C. Schmid (Eds.), Computer Vision – ECCV 2012: 12th European Conference on Computer Vision: Florence, Italy, October 7-13, 2012: proceedings (Vol. 6, pp. 172-186). (Lecture Notes in Computer Science; Vol. 7577). Springer. https://doi.org/10.1007/978-3-642-33783-3_13[details]
Gijsenij, A., Gevers, T., & van de Weijer, J. (2012). Improving color constancy by photometric edge weighting. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(5), 918-929. https://doi.org/10.1109/TPAMI.2011.197[details]
Karaoglu, S., van Gemert, J. C., & Gevers, T. (2012). Object reading: text recognition for object recognition. In A. Fusiello, V. Murino, & R. Cucchiara (Eds.), Computer Vision – ECCV 2012 : Workshops and Demonstrations: Florence, Italy, October 7-13, 2012: proceedings (Vol. 3, pp. 456-465). (Lecture Notes in Computer Science; Vol. 7585). Springer. https://doi.org/10.1007/978-3-642-33885-4_46[details]
Socarrás Salas, Y., Vázquez Bermudez, D., López Peña, A. M., Gerónimo Gomez, D., & Gevers, T. (2012). Improving HOG with image segmentation: application to human detection. In J. Blanc-Talon, W. Philips, D. Popescu, P. Scheunders, & P. Zemčík (Eds.), Advanced Concepts for Intelligent Vision Systems: 14th international conference, ACIVS 2012, Brno, Czech Republic, September 4-7, 2012 : proceedings (pp. 178-189). (Lecture Notes in Computer Science; Vol. 7517). Springer. https://doi.org/10.1007/978-3-642-33140-4_16[details]
Stöttinger, J., Hanbury, A., Sebe, N., & Gevers, T. (2012). Sparse color interest points for image retrieval and object categorization. IEEE Transactions on Image Processing, 21(5), 2681-2692. https://doi.org/10.1109/TIP.2012.2186143[details]
Valenti, R., & Gevers, T. (2012). Accurate eye center location through invariant isocentric patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(9), 1785-1798. https://doi.org/10.1109/TPAMI.2011.251[details]
Valenti, R., Sebe, N., & Gevers, T. (2012). Combining head pose and eye location information for gaze estimation. IEEE Transactions on Image Processing, 21(2), 802-815. https://doi.org/10.1109/TIP.2011.2162740[details]
Valenti, R., Sebe, N., & Gevers, T. (2012). What are you looking at?: improving visual gaze estimation by saliency. International Journal of Computer Vision, 98(3), 324-334. https://doi.org/10.1007/s11263-011-0511-6[details]
van de Sande, K. E. A., Gevers, T., & Snoek, C. G. M. (2012). Accelerating Visual Categorization with the GPU. In K. N. Kutulakos (Ed.), Trends and Topics in Computer Vision: ECCV 2010 workshops, Heraklion, Crete, Greece, September 10-11, 2010: revised selected papers (Vol. 2, pp. 436-449). (Lecture Notes in Computer Science; Vol. 6554). Springer. https://doi.org/10.1007/978-3-642-35740-4_34[details]
Álvarez, J. M., Gevers, T., Diego, F., & López, A. M. (2012). Road geometry classification by adaptive shape models. IEEE Transactions on Intelligent Transportation Systems, 14(1), 459-468. https://doi.org/10.1109/TITS.2012.2221088[details]
2011
Dibeklioğlu, H., Ortega Hortas, M., Kosunen, I., Zuzánek, P., Salah, A. A., & Gevers, T. (2011). Design and implementation of an affect-responsive interactive photo frame. Journal on Multimodal User Interfaces, 4(2), 81-95. https://doi.org/10.1007/s12193-011-0057-5[details]
Gijsenij, A., & Gevers, T. (2011). Color constancy using natural image statistics and scene semantics. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(4), 687-698. https://doi.org/10.1109/TPAMI.2010.93[details]
Gijsenij, A., Gevers, T., & van de Weijer, J. (2011). Computational color constancy: survey and experiments. IEEE Transactions on Image Processing, 20(9), 2475-2489. https://doi.org/10.1109/TIP.2011.2118224[details]
Lucassen, M. P., Gevers, T., & Gijsenij, A. (2011). Color fidelity of chromatic distributions by triad illuminant comparison. In 2011 IEEE 10th IVMSP workshop: perception and visual signal analysis (IVMSP 2011), Ithaca, NY (pp. 1-6). IEEE. https://doi.org/10.1109/IVMSPW.2011.5970345[details]
Salah, A. A., Gevers, T., Sebe, N., & Vinciarelli, A. (2011). Computer vision for ambient intelligence. Journal of ambient intelligence and smart environments, 3(3), 187-191. https://doi.org/10.3233/AIS-2011-0113[details]
Toet, A., Henselmans, M., Lucassen, M. P., & Gevers, T. (2011). Emotional effects of dynamic textures. I-Perception, 2(9), 969-991. https://doi.org/10.1068/i0477[details]
van de Sande, K. E. A., Gevers, T., & Snoek, C. G. M. (2011). Empowering Visual Categorization with the GPU. IEEE Transactions on Multimedia, 13(1), 60-70. https://doi.org/10.1109/TMM.2010.2091400[details]
van de Sande, K. E. A., Uijlings, J. R. R., Gevers, T., & Smeulders, A. W. M. (2011). Segmentation as selective search for object recognition. In ICCV 2011 : 13th International Conference on Computer Vision: 6-13 November 2011, Barcelona, Spain (pp. 1879-1886). IEEE. https://doi.org/10.1109/ICCV.2011.6126456[details]
2010
Alvarez, J. M., Gevers, T., & Lopez, A. M. (2010). 3D Scene Priors for Road Detection. In 2010 IEEE Conference on Computer Vision and Pattern Recognition: CVPR 2010: San Francisco, California, USA, 13-18 June 2010 (pp. 57-64). IEEE. https://doi.org/10.1109/CVPR.2010.5540228[details]
Dibeklioğlu, H., Valenti, R., Salah, A. A., & Gevers, T. (2010). Eyes Do Not Lie: Spontaneous Versus Posed Smiles. In MM '10: proceedings of the ACM Multimedia 2010 International Conference: October 25-29, 2010, Firenze, Italy (pp. 703-706). Association for Computing Machinery. https://doi.org/10.1145/1873951.1874056[details]
Gijsenij, A., Gevers, T., & van de Weijer, J. (2010). Generalized gamut mapping using image derivative structures for color constancy. International Journal of Computer Vision, 86(2-3), 127-139. https://doi.org/10.1007/s11263-008-0171-3[details]
Lucassen, M. P., Gevers, T., & Gijsenij, A. (2010). Adding Texture to Color: Quantitative Analysis of Color Emotions. In Final programme and proceedings: 5th European Conference on Color in Graphics, Imaging, and Vision, 12th International Symposium on Multispectral Color Science: June 14-17, 2010, Joensuu, Finaland, University of Eastern Finland (pp. 5-10). Society for Imaging Science and Technology. http://ist.publisher.ingentaconnect.com/content/ist/cgiv/2010/00002010/00000001/art00002[details]
Rojas Vigo, D. A., Khan, F. S., van de Weijer, J., & Gevers, T. (2010). The impact of color on bag-of-words based object recognition. In 2010 20th International Conference on Pattern Recognition: ICPR 2010: Istanbul, Turkey, 23-26 August 2010 (pp. 1549-1553). IEEE. https://doi.org/10.1109/ICPR.2010.383[details]
Rojas Vigo, D., van de Weijer, J., & Gevers, T. (2010). Color edge saliency boosting using natural image statistics. In Final programme and proceedings: 5th European Conference on Color in Graphics, Imaging, and Vision, 12th International Symposium on Multispectral Color Science: June 14-17, 2010, Joensuu, Finaland, University of Eastern Finland (pp. 228-234). Society for Imaging Science and Technology. http://ist.publisher.ingentaconnect.com/content/ist/cgiv/2010/00002010/00000001/art00037[details]
Salah, A. A., Gevers, T., Sebe, N., & Vinciarelli, A. (2010). Challenges in human behavior understanding. In A. A. Salah, T. Gevers, N. Sebe, & A. Vinciarelli (Eds.), Challenges of Human Behavior Understanding: first international workshop, HBU 2010, Istanbul, Turkey, August 22, 2010 : proceedings (pp. 1-12). (Lecture Notes in Computer Science; Vol. 6219). Springer. https://doi.org/10.1007/978-3-642-14715-9_1[details]
Salah, A. A., Pauwels, E., Tavenard, R., & Gevers, T. (2010). T-Patterns Revisited: Mining for Temporal Patterns in Sensor Data. Sensors, 10(8), 7496-7513. https://doi.org/10.3390/s100807496[details]
Salah, A. A., Sebe, N., & Gevers, T. (2010). Communication and Automatic Interpretation of Affect from Facial Expressions. In D. Gökçay, & G. Yildirim (Eds.), Affective computing and interaction: psychological, cognitive, and neuroscientific perspectives (pp. 157-183). Information Science Reference. http://www.cmpe.boun.edu.tr/~salah/salah10affective.pdf[details]
Snoek, C. G. M., van de Sande, K. E. A., de Rooij, O., Huurnink, B., Gavves, E., Odijk, D., de Rijke, M., Gevers, T., Worring, M., Koelma, D. C., & Smeulders, A. W. M. (2010). The MediaMill TRECVID 2010 semantic video search engine. In TRECVID 2010 notebook National Institute of Standards and Technology. http://www-nlpir.nist.gov/projects/tvpubs/tv10.papers/mediamill.pdf[details]
Valenti, R., Lablack, A., Sebe, N., Djeraba, C., & Gevers, T. (2010). Visual Gaze Estimation by Joint Head and Eye Information. In 2010 20th International Conference on Pattern Recognition: ICPR 2010: Istanbul, Turkey, 23-26 August 2010 (pp. 3870-3873). IEEE. https://doi.org/10.1109/ICPR.2010.1160[details]
Vazquez, E., Gevers, T., Lucassen, M., van de Weijer, J., & Baldrich, R. (2010). Saliency of color image derivatives: a comparison between computational models and human perception. Journal of the Optical Society of America. A, Optics, Image Science and Vision, 27(3), 613-621. https://doi.org/10.1364/JOSAA.27.000613[details]
van de Sande, K. E. A., & Gevers, T. (2010). University of Amsterdam at the visual concept detection and annotation tasks. In H. Müller, P. Clough, T. Deselaers, & B. Caputo (Eds.), ImageCLEF: experimental evaluation in visual information retrieval (pp. 343-358). (The information retrieval series; No. 32). Springer. https://doi.org/10.1007/978-3-642-15181-1_18[details]
van de Sande, K. E. A., Gevers, T., & Snoek, C. G. M. (2010). Evaluating Color Descriptors for Object and Scene Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(9), 1582-1596. https://doi.org/10.1109/TPAMI.2009.154[details]
Álvarez, J. M., Gevers, T., & López, A. M. (2010). Learning Photometric Invariance for Object Detection. International Journal of Computer Vision, 90(1), 45-61. https://doi.org/10.1007/s11263-010-0336-8[details]
2009
Gijsenij, A., & Gevers, T. (2009). Shadow edge detection using geometric and photometric features. In 2009 IEEE International Conference on Image Processing, ICIP 2009: Proceedings: November 7-12, 2009, Cairo, Egypt (pp. 693-696). IEEE. https://doi.org/10.1109/ICIP.2009.5414089[details]
Gijsenij, A., Gevers, T., & Lucassen, M. P. (2009). Perceptual analysis of distance measures for color constancy algorithms. Journal of the Optical Society of America. A, Optics, Image Science and Vision, 26(10), 2243-2256. https://doi.org/10.1364/JOSAA.26.002243[details]
Gijsenij, A., Gevers, T., & van de Weijer, J. (2009). Physics-based edge evaluation for improved color constancy. In 2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009: Miami, Florida, USA, 20-25 June 2009 (pp. 581-588). IEEE. https://doi.org/10.1109/CVPR.2009.5206497[details]
Lu, R., Gijsenij, A., Gevers, T., Nedović, V., Xu, D., & Geusebroek, J. M. (2009). Color constancy using 3D scene geometry. In 12th International Conference on Computer Vision (ICCV 2009) (pp. 1749-1756). IEEE. https://doi.org/10.1109/ICCV.2009.5459391[details]
Lu, R., Gijsenij, A., Gevers, T., van de Sande, K., Geusebroek, J. M., & Xu, D. (2009). Color constancy using stage classification. In 2009 IEEE International Conference on Image Processing, ICIP 2009: Proceedings: November 7-12, 2009, Cairo, Egypt (pp. 685-688). IEEE. https://doi.org/10.1109/ICIP.2009.5414083[details]
Snoek, C. G. M., van de Sande, K. E. A., de Rooij, O., Huurnink, B., Uijlings, J. R. R., van Liempt, M., Bugalho, M., Trancoso, I., Yan, F., Tahir, M. A., Mikolajczyk, K., Kittler, J., de Rijke, M., Geusebroek, J. M., Gevers, T., Worring, M., Smeulders, A. W. M., & Koelma, D. C. (2009). The MediaMill TRECVID 2009 semantic video search engine. In TRECVID 2009 Overview Papers and Slides National Institute of Standards and Technology (NIST). http://www-nlpir.nist.gov/projects/tvpubs/tv9.papers/mediamill.pdf[details]
Tahir, M. A., Kittler, J., Mikolajczyk, K., Yan, F., van de Sande, K. E. A., & Gevers, T. (2009). Visual category recognition using Spectral Regression and Kernel Discriminant Analysis. In 12th International Conference on Computer Vision workshops, ICCV workshops (pp. 178-185). IEEE. https://doi.org/10.1109/ICCVW.2009.5457703[details]
Valenti, R., Sebe, N., & Gevers, T. (2009). Image saliency by isocentric curvedness and color. In 12th International Conference on Computer Vision (ICCV 2009) (pp. 2185-2192). IEEE. https://doi.org/10.1109/ICCV.2009.5459240[details]
Valenti, R., Sebe, N., & Gevers, T. (2009). Isocentric color saliency in images. In 2009 IEEE International Conference on Image Processing, ICIP 2009: Proceedings: November 7-12, 2009, Cairo, Egypt (pp. 993-996). IEEE. https://doi.org/10.1109/ICIP.2009.5413810[details]
Valenti, R., Staiano, J., Sebe, N., & Gevers, T. (2009). Webcam-based visual gaze estimation. In P. Foggia, C. Sansone, & M. Vento (Eds.), Image Analysis and Processing – ICIAP 2009: 15th International Conference Vietri sul Mare, Italy, September 8-11, 2009 : proceedings (pp. 662-671). (Lecture Notes in Computer Science; Vol. 5716). Springer. https://doi.org/10.1007/978-3-642-04146-4_71[details]
Valenti, R., Yücel, Z., & Gevers, T. (2009). Robustifying eye center localization by head pose cues. In 2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009: Miami, Florida, USA, 20-25 June 2009 (pp. 612-618). IEEE. https://doi.org/10.1109/CVPR.2009.5206640[details]
2008
Gijsenij, A., Gevers, T., & Lucassen, M. P. (2008). A perceptual comparison of distance measures for color constancy algorithms. In D. Forsyth, P. Torr, & A. Zisserman (Eds.), Computer Vision – ECCV 2008: 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008 : proceedings (Vol. I, pp. 208-221). (Lecture Notes in Computer Science; Vol. 5302). Springer. https://doi.org/10.1007/978-3-540-88682-2_17[details]
Gijsenij, A., Gevers, T., & van de Weijer, J. (2008). Edge classification for color constancy. In CGIV 2008 / MCS'08: 4th European Conference on Colour in Graphics, Imaging, and Vision: 10th International Symposium on Multispectral Colour Science: Final program and proceedings (pp. 231-234). Society for Imaging Science and Technology (IS&T). http://www.imaging.org/store/epub.cfm?abstrid=38787[details]
Lucassen, M. P., Gijsenij, A., & Gevers, T. (2008). Comparing objective and subjective error measures for color constancy. In CGIV 2008 / MCS'08: 4th European Conference on Colour in Graphics, Imaging, and Vision: 10th International Symposium on Multispectral Colour Science: Final program and proceedings (pp. 198-201). Society for Imaging Science and Technology (IS&T). http://www.imaging.org/store/epub.cfm?abstrid=38757[details]
Snoek, C. G. M., van de Sande, K. E. A., de Rooij, O., Huurnink, B., van Gemert, J. C., Uijlings, J. R. R., He, J., Li, X., Everts, I., Nedovic, V., van Liempt, M., van Balen, R., Yan, F., Tahir, M. A., Mikolajczyk, K., Kittler, J., de Rijke, M., Geusebroek, J. M., Gevers, T., ... Koelma, D. C. (2008). The MediaMill TRECVID 2008 semantic video search engine. In TRECVID 2008: Proceedings of the 2008 TREC Video Retrieval Evaluation workshop (pp. 1-14). National Institute of Standards and Technology (NIST). http://www-nlpir.nist.gov/projects/tvpubs/tv8.papers/mediamill.pdf[details]
Valenti, R., & Gevers, T. (2008). Accurate eye center location and tracking using isophote curvature. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition: CVPR 2008 (pp. 1-8). IEEE. https://doi.org/10.1109/CVPR.2008.4587529[details]
Valenti, R., Sebe, N., & Gevers, T. (2008). Facial features matching using a virtual structuring element. In T. Gevers, R. C. Jain, & S. Santini (Eds.), Multimedia Content Access: Algorithms and Systems II: 30-31 January 2008, San Jose, California, USA Article 682008 (Proceedings of SPIE, the International Society for Optical Engineering; Vol. 6820). SPIE. https://doi.org/10.1117/12.761975[details]
Valenti, R., Sebe, N., Gevers, T., & Cohen, I. (2008). Machine learning techniques for face analysis. In M. Cord, & P. Cunningham (Eds.), Machine learning techniques for multimedia: Case studies on organization and retrieval (pp. 159-187). (Cognitive Technologies). Springer. https://doi.org/10.1007/978-3-540-75171-7_7[details]
van de Sande, K. E. A., Gevers, T., & Snoek, C. G. M. (2008). A comparison of color features for visual concept classification. In CIVR'08: Proceedings of the International Conference on Content-based Image and Video Retrieval, Niagara Falls, Canada, July 7-9, 2008 (pp. 141-149). Association for Computing Machinery (ACM). http://doi.acm.org/10.1145/1386352.1386376[details]
van de Sande, K. E. A., Gevers, T., & Snoek, C. G. M. (2008). Color descriptors for object category recognition. In CGIV 2008 / MCS'08: 4th European Conference on Colour in Graphics, Imaging, and Vision: 10th International Symposium on Multispectral Colour Science: Final program and proceedings (pp. 378-381). Society for Imaging Science and Technology (IS&T). http://www.imaging.org/store/epub.cfm?abstrid=38777[details]
van de Sande, K. E. A., Gevers, T., & Snoek, C. G. M. (2008). Evaluation of color descriptors for object and scene recognition. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition: CVPR 2008 (pp. 1-8). IEEE. https://doi.org/10.1109/CVPR.2008.4587658[details]
Gevers, T., Gijsenij, A., van de Weijer, J., & Geusebroek, J. M. (2012). Color in computer vision: fundamentals and applications. (Wiley-IS&T series in imaging science and technology). Wiley-Blackwell. https://doi.org/10.1002/9781118350089[details]
Salah, A. A., Gevers, T., Sebe, N., & Vinciarelli, A. (2010). Challenges of Human Behavior Understanding: first international workshop, HBU 2010, Istanbul, Turkey, August 22, 2010 : proceedings. (Lecture Notes in Computer Science; Vol. 6219). Springe. https://doi.org/10.1007/978-3-642-14715-9[details]
2009
Snoek, C. G. M., van de Sande, K. E. A., de Rooij, O., Huurnink, B., Uijlings, J. R. R., van Liempt, M., Bugalho, M., Trancoso, I., Yan, F., Tahir, M. A., Mikolajczyk, K., Kittler, J., de Rijke, M., Geusebroek, J. M., Gevers, T., Worring, M., Smeulders, A. W. M., & Koelma, D. C. (2009). The MediaMill TRECVID 2009 semantic video search engine. In TRECVID 2009 working notes National Institute of Standards and Technology (NIST). http://ilps.science.uva.nl/biblio/mediamill-trecvid-2009-semantic-video-search-engine-draft-notebook-paper[details]
Das, P., Baslamisli, A. S., Le, H. A., Karaoglu, S. & Gevers, T. (29-10-2024). ShadingNet Dataset Release. Universiteit van Amsterdam. https://doi.org/10.21942/uva.27241383.v2
Baslamisli, A., Liu, Y., Karaoglu, S. & Gevers, T. (2024). ShapeNet Intrinsic Images v2.0 Extended. Harvard Dataverse. https://doi.org/10.7910/dvn/1xmmbz
De UvA gebruikt cookies voor het meten, optimaliseren en goed laten functioneren van de website. Ook worden er cookies geplaatst om inhoud van derden te kunnen tonen en voor marketingdoeleinden. Klik op ‘Accepteren’ om akkoord te gaan met het plaatsen van alle cookies. Of kies voor ‘Weigeren’ om alleen functionele en analytische cookies te accepteren. Je kunt je voorkeur op ieder moment wijzigen door op de link ‘Cookie instellingen’ te klikken die je onderaan iedere pagina vindt. Lees ook het UvA Privacy statement.