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]
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]
2021
Chen, L., Fu, Y., You, S., & Liu, H. (2021). Efficient Hybrid Supervision for Instance Segmentation in Aerial Images. Remote Sensing, 13(2), Article 252. https://doi.org/10.3390/rs13020252[details]
Cong, L., Zhang, S., You, S., Liu, X., & Zhu, Z. (2021). Real-time foreground object segmentation networks using long and short skip connections. Information Sciences, 571, 543-559. https://doi.org/10.1016/j.ins.2021.01.044[details]
Cui, Z., Qi, G-J., Gu, L., You, S., Zhang, Z., & Harada, T. (2021). Multitask AET With Orthogonal Tangent Regularity for Dark Object Detection. In 2021 IEEE/CVF International Conference on Computer Vision: proceedings : ICCV 2021 : 11-17 October 2021, virtual event (pp. 2533-2542). (International Conference on Computer Vision; Vol. 18). IEEE Computer Society. https://doi.org/10.1109/ICCV48922.2021.00255[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
Gu, L., Zhang, X., You, S., Zhao, S., Liu, Z., & Harada, T. (2020). Semi-Supervised Learning in Medical Images Through Graph-Embedded Random Forest. Frontiers in Neuroinformatics, 14, Article 601829. https://doi.org/10.3389/fninf.2020.601829[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]
Wang, X., Li, Y., You, S., Li, H., & Wang, S. (2020). Unidirectional Representation-Based Efficient Dictionary Learning. IEEE transactions on circuits and systems for video technology, 30(1), 59-74. https://doi.org/10.1109/TCSVT.2018.2886600[details]
Zhang, D., & You, S. (2020). iFlask: Isolate flask security system from dangerous execution environment by using ARM TrustZone. Future Generation Computer Systems, 109, 531-537. https://doi.org/10.1016/j.future.2018.05.064[details]
2019
Bao, Z., You, S., Gu, L., & Yang, Z. (2019). Single-image facial expression recognition using deep 3D re-centralization. In 2019 International Conference on Computer Vision, Workshops: proceedings : 27 October-2 November 2019, Seoul, Korea (pp. 1628-1636). IEEE Computer Society. https://doi.org/10.1109/ICCVW.2019.00202[details]
Cheng, Z., Zheng, Y., You, S., & Sato, I. (2019). Non-local intrinsic decomposition with near-infrared priors. In Proceedings, 2019 International Conference on Computer Vision: 27 October-2 November 2019, Seoul, Korea (pp. 2521-2530). (ICCV). IEEE Computer Society. https://doi.org/10.1109/ICCV.2019.00261[details]
Li, J., Nguyen, C., & You, S. (2019). Temporal 3D Fully Connected Network for Water-Hazard Detection. In 2019 Digital Image Computing: Techniques and Applications (DICTA): Perth, Australia, 2 December-4 December 2019 (pp. 575-579). IEEE. https://doi.org/10.1109/DICTA47822.2019.8945849[details]
Liu, L., Tan, R. T., & You, S. (2019). Loss Guided Activation for Action Recognition in Still Images. In C. V. Jawahar, H. Li, G. Mori, & K. Schindler (Eds.), Computer Vision – ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018 : revised selected papers (Vol. V, pp. 152-167). (Lecture Notes in Computer Science; Vol. 11365). Springer. https://doi.org/10.1007/978-3-030-20873-8_10
Wang, Y., Yoshihashi, R., Kawakami, R., You, S., Harano, T., Ito, M., Komagome, K., Iida, M., & Naemura, T. (2019). Unsupervised anomaly detection with compact deep features for wind turbine blade images taken by a drone. IPSJ Transactions on Computer Vision and Applications, 11(1), Article 3. https://doi.org/10.1186/s41074-019-0056-0[details]
Yoshihashi, R., Shao, W., Kawakami, R., You, S., Iida, M., & Naemura, T. (2019). Classification-reconstruction learning for open-set recognition. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : 16-20 June 2019, Long Beach, California (pp. 4011-4020). (CVPR). IEEE Computer Society. https://doi.org/10.1109/CVPR.2019.00414[details]
Han, X., Lu, J., Zhao, C., You, S., & Li, H. (2018). Semisupervised and weakly supervised road detection based on generative adversarial networks. IEEE Signal Processing Letters, 25(4), 551-555. https://doi.org/10.1109/LSP.2018.2809685
Hao, Z., Li, Y., You, S., & Lu, F. (2018). Detail preserving depth estimation from a single image using attention guided networks. In Proceedings - 2018 International Conference on 3D Vision, 3DV 2018 (pp. 304-313). Article 8490981 (Proceedings - 2018 International Conference on 3D Vision, 3DV 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/3DV.2018.00043
Liang, H., Wang, H., Wang, J., You, S., Sun, Z., Wei, J. M., & Yang, Z. (2018). JTAV: Jointly learning social media content representation by fusing textual, acoustic, and visual features. In E. M. Bender, L. Derczynski, & P. Isabelle (Eds.), COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings (pp. 1269-1280). (COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings). Association for Computational Linguistics (ACL).
Lu, K., You, S., & Barnes, N. (2018). Deep Texture and Structure Aware Filtering Network for Image Smoothing. In V. Ferrari, C. Sminchisescu, Y. Weiss, & M. Hebert (Eds.), Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings (pp. 229-245). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11208 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-01225-0_14
Wang, X., Ma, H., Chen, X., & You, S. (2018). Edge Preserving and Multi-Scale Contextual Neural Network for Salient Object Detection. IEEE Transactions on Image Processing, 27(1), 121-134. Article 8049485. https://doi.org/10.1109/TIP.2017.2756825
Wang, X., You, S., Li, X., & Ma, H. (2018). Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features. In Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018 (pp. 1354-1362). Article 8578245 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition). IEEE Computer Society. https://doi.org/10.1109/CVPR.2018.00147
Yoshihashi, R., Trinh, T. T., Kawakami, R., You, S., Iida, M., & Naemura, T. (2018). Pedestrian detection with motion features via two-stream ConvNets. IPSJ Transactions on Computer Vision and Applications, 10(1), Article 12. https://doi.org/10.1186/s41074-018-0048-5
You, S., Matsushita, Y., Sinha, S., Bou, Y., & Ikeuchi, K. (2018). Multiview Rectification of Folded Documents. IEEE Transactions on Software Engineering, 40(2), 505-511. https://doi.org/10.1109/TPAMI.2017.2675980
2017
Feng, D., Barnes, N., & You, S. (2017). DSD: Depth Structural Descriptor for Edge-Based Assistive Navigation. In Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017 (pp. 1536-1544). (Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCVW.2017.181
Feng, D., Barnes, N., & You, S. (2017). HOSO: Histogram of Surface Orientation for RGB-D Salient Object Detection. In Y. Guo, M. Murshed, Z. Wang, D. D. Feng, H. Li, W. T. Cai, & J. Gao (Eds.), DICTA 2017 - 2017 International Conference on Digital Image Computing: Techniques and Applications (pp. 1-8). (DICTA 2017 - 2017 International Conference on Digital Image Computing: Techniques and Applications; Vol. 2017-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DICTA.2017.8227440
Li, Y., You, S., Brown, M. S., & Tan, R. T. (2017). Haze visibility enhancement: A Survey and quantitative benchmarking. Computer Vision and Image Understanding, 165, 1-16. https://doi.org/10.1016/j.cviu.2017.09.003
Lu, F., He, L., You, S., Chen, X., & Hao, Z. (2017). Identifying Surface BRDF from a Single 4-D Light Field Image via Deep Neural Network. IEEE Journal on Selected Topics in Signal Processing, 11(7), 1047-1057. Article 7982615. https://doi.org/10.1109/JSTSP.2017.2728001
Lu, K., You, S., & Barnes, N. (2017). Double-Guided Filtering: Image Smoothing with Structure and Texture Guidance. In Y. Guo, M. Murshed, Z. Wang, D. D. Feng, H. Li, W. T. Cai, & J. Gao (Eds.), DICTA 2017 - 2017 International Conference on Digital Image Computing: Techniques and Applications (pp. 1-8). (DICTA 2017 - 2017 International Conference on Digital Image Computing: Techniques and Applications; Vol. 2017-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DICTA.2017.8227425
Shigematsu, R., Feng, D., You, S., & Barnes, N. (2017). Learning RGB-D salient object detection using background enclosure, depth contrast, and top-down features. In Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017 (pp. 2749-2757). (Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCVW.2017.323
Yue, B., Gui, M., Guo, J., Yang, Z., Wei, J. M., & You, S. (2017). An effective framework for question answering over freebase via reconstructing natural sequences. In 26th International World Wide Web Conference 2017, WWW 2017 Companion (pp. 865-866). (26th International World Wide Web Conference 2017, WWW 2017 Companion). International World Wide Web Conferences Steering Committee. https://doi.org/10.1145/3041021.3054240
Zhang, S., Qu, L., You, S., Yang, Z., & Zhang, J. (2017). Automatic generation of grounded visual questions. In C. Sierra (Ed.), 26th International Joint Conference on Artificial Intelligence, IJCAI 2017 (pp. 4235-4243). (IJCAI International Joint Conference on Artificial Intelligence; Vol. 0). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2017/592
Zhao, Z., Ma, H., & You, S. (2017). Single Image Action Recognition Using Semantic Body Part Actions. In Proceedings - 2017 IEEE International Conference on Computer Vision, ICCV 2017 (pp. 3411-3419). Article 8237629 (Proceedings of the IEEE International Conference on Computer Vision; Vol. 2017-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCV.2017.367
2016
Feng, D., Barnes, N., You, S., & McCarthy, C. (2016). Local Background Enclosure for RGB-D Salient Object Detection. In Proceedings - 29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 (pp. 2343-2350). Article 7780626 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; Vol. 2016-December). IEEE Computer Society. https://doi.org/10.1109/CVPR.2016.257
You, S., Tan, R. T., Kawakami, R., Mukaigawa, Y., & Ikeuchi, K. (2016). Adherent Raindrop Modeling, Detectionand Removal in Video. IEEE Transactions on Software Engineering, 38(9), 1721-33. https://doi.org/10.1109/TPAMI.2015.2491937
Prijs / subsidie
You, S. (2022). Google research grant.
You, S. (2021). IJRS best paper award (The Len Curtis Award).
Tijdschriftredactie
You, S. (editor) (2022-). International Journal of Computer Vision (Journal).
Andere
You, S. (participant) (2023). IEEE Conference on Computer Vision and Pattern Recognition. Area chair (organising a conference, workshop, ...).
You, S. (participant) (2022). Netherlands conference on computer vision. Program chair (organising a conference, workshop, ...).
You, S. (participant) (2022). IEEE Conference on Computer Vision and Pattern Recognition. Area chair (organising a conference, workshop, ...).
You, S. (participant) (2022). European Conference on Computer Vision (ECCV), 2022, Tel Aviv. Area chair (organising a conference, workshop, ...).
2023
Wang, W. (2023). Vision based kinship recognition. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
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