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Dr. S. (Shaodi) You

Faculty of Science
Informatics Institute
Visiting address
  • Science Park 904
Postal address
  • Postbus 94323
    1090 GH Amsterdam
Contact details
  • Publications

    2024

    2023

    • Bi, Q., You, S., & Gevers, T. (2023). Interactive Learning of Intrinsic and Extrinsic Properties for All-Day Semantic Segmentation. IEEE Transactions on Image Processing, 32, 3821-3835. https://doi.org/10.1109/TIP.2023.3290469 [details]
    • Bi, Q., You, S., & Gevers, T. (in press). Learning Content-Enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation. In AAAI Association for the Advancement of Artificial Intelligence (pp. 1-9)
    • Bi, Q., You, S., & Gevers, T. (in press). Learning Generalized Segmentation for Foggy-scenes by Bi-directional Wavelet Guidance. In AAAI Association for the Advancement of Artificial Intelligence (pp. 1-9)
    • 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]
    • Wang, W., You, S., Karaoglu, S., & Gevers, T. (2023). A survey on kinship verification. Neurocomputing, 525, 1-28. Advance online publication. https://doi.org/10.1016/j.neucom.2022.12.031 [details]
    • Zhang, F., You, S., Li, Y., & Fu, Y. (2023). Learning Rain Location Prior for Nighttime Deraining. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 13102-13111). IEEE Computer Society. https://doi.org/10.1109/ICCV51070.2023.01209

    2022

    • Fu, Y., Hong, Y., Chen, L., & You, S. (2022). LE-GAN: Unsupervised low-light image enhancement network using attention module and identity invariant loss. International Journal of Uncertainty and Knowledge-Based Systems, 240, Article 106539. Advance online publication. https://doi.org/10.1016/j.knosys.2021.108010 [details]
    • Yu, T., Lin, C., Zhang, S., Wang, C., Ding, X., An, H., Liu, X., Qu, T., Wan, L., You, S., Wu, J., & Zhang, J. (2022). Artificial Intelligence for Dunhuang Cultural Heritage Protection: The Project and the Dataset. International Journal of Computer Vision, 130(11), 2646-2673. https://doi.org/10.1007/s11263-022-01665-x [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

    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]

    2018

    • 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

    Prize / grant

    • You, S. (2022). Google research grant.
    • You, S. (2021). IJRS best paper award (The Len Curtis Award).

    Journal editor

    • You, S. (editor) (2022-). International Journal of Computer Vision (Journal).

    Others

    • 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]

    2022

    • Zhang, Y. (2022). Geometric modeling for 3D human pose estimation and motion transfer. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
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