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Prof. dr. T. (Theo) Gevers

Faculteit der Natuurwetenschappen, Wiskunde en Informatica
Informatics Institute
Bezoekadres
  • Science Park 904
  • Kamernummer: C3.233
Postadres
  • Postbus 94323
    1090 GH Amsterdam
Contactgegevens
  • Publicaties

    2024

    2023

    2022

    2021

    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]
    • Le, H.-A., Mensink, T., Das, P., & Gevers, T. (2020). Novel View Synthesis from Single Images via Point Cloud Transformation. In 31st British Machine Vision Conference 2020: BMVC 2020, Virtual Event, UK, September 7-10, 2020 Article 51 BMVA Press. [details]
    • 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]

    2018

    • 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

    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]
    • Dibeklioğlu, H., Salah, A. A., & Gevers, T. (2015). Recognition of Genuine Smiles. IEEE Transactions on Multimedia, 17(3), 279-294. https://doi.org/10.1109/TMM.2015.2394777 [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). Color constancy by combining low-mid-high level image cues. Computer Vision and Image Understanding, 140, 1-8. https://doi.org/10.1016/j.cviu.2015.04.011 [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

    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]
    • Gijsenij, A., Lu, R., & Gevers, T. (2012). Color constancy for multiple light sources. IEEE Transactions on Image Processing, 21(2), 697-707. https://doi.org/10.1109/TIP.2011.2165219 [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

    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. (2008). Simple and efficient visual gaze estimation. In Proceedings of the First International Workshop on Multimodal Interactions Analysis of Users in a Controlled Environment (MIAUCE) http://www.science.uva.nl/research/publications/2008/ValentiMIAUCE2008 [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]

    2023

    2012

    • 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]

    2011

    2010

    2009

    2012

    2017

    • Tao, R. (2017). Visual instance search from one example. [Thesis, fully internal, Universiteit van Amsterdam]. [details]

    2024

    2022

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