Seon Joo Kim

Research output

Research output per year 2001 2018 2019 2021 2022 2022

• 45 Conference contribution
• 19 Article
• 3 Conference article
• 1 Paper

Research output per year

Research output per year

Search results

• 2022

  A Sliding Window Scheme for Online Temporal Action Localization

  Kim, Y. H., Kang, H. & Kim, S. J., 2022, Computer Vision – ECCV 2022 - 17th European Conference, Proceedings. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 653-669 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13694 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Postprocessing Method 100%
  • Simulation Mode 100%
  • Instance Level 100%
  • Evaluation 100%
  • Sliding Window 50%

• Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints to Better Classify Objects in Videos

  Hwang, S., Heo, M., Oh, S. W. & Kim, S. J., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Computer Society, p. 17031-17040 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Tracking Object 100%
  • Classification (Machine Learning) 66%
  • Classification 33%
  • Real World 33%
  • Benchmark 33%

• Error Compensation Framework for Flow-Guided Video Inpainting

  Kang, J., Oh, S. W. & Kim, S. J., 2022, Computer Vision – ECCV 2022 - 17th European Conference, 2022, Proceedings. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 375-390 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13675 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Video Inpainting 100%
  • Experimental Result 33%
  • Benchmark 33%
  • Visual Quality 33%
  • Speed-up 33%

• Integrating Pose and Mask Predictions for Multi-person in Videos

  Heo, M., Hwang, S., Oh, S. W., Lee, J. Y. & Kim, S. J., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022. IEEE Computer Society, p. 2656-2665 10 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2022-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Network Segmentation 100%
  • Experimental Result 50%
  • Real World 50%
  • Segmentation 50%
  • Benchmark 50%
  1 Citation (Scopus)

• Single-shot Path Integrated Panoptic Segmentation

  Hwang, S., Oh, S. W. & Kim, S. J., 2022, Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022. Institute of Electrical and Electronics Engineers Inc., p. 1939-1948 10 p. (Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Segmentation 100%
  • Benchmark 20%
  • High Efficiency 20%
  • Image Segmentation 20%
  • Segmentation Task 20%

• UBoCo: Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection

  Kang, H., Kim, J., Kim, T. & Kim, S. J., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Computer Society, p. 20041-20050 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Events 100%
  • Boundary Detection 83%
  • Video Understanding 50%
  • Similarity Matrix 50%
  • Parsing 33%

• VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance Segmentation

  Han, S. H., Hwang, S., Oh, S. W., Park, Y., Kim, H., Kim, M. J. & Kim, S. J., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Computer Society, p. 2886-2895 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Instance Segmentation 100%
  • Segmentation Method 12%
  • Real-Time Application 12%
  • Additional Computation 12%
  • Time Processing 12%
• 2021

  CAG-QIL: Context-Aware Actionness Grouping via Q Imitation Learning for Online Temporal Action Localization

  Kang, H., Kim, K., Ko, Y. & Kim, S. J., 2021, Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. Institute of Electrical and Electronics Engineers Inc., p. 13709-13718 10 p. (Proceedings of the IEEE International Conference on Computer Vision).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Contexts 100%
  • Postprocessing Method 33%
  • Simulation Mode 33%
  • Video Understanding 33%
  • Learning Algorithm 33%
  2 Citations (Scopus)

• Large Scale Multi-Illuminant (LSMI) Dataset for Developing White Balance Algorithm under Mixed Illumination

  Kim, D., Kim, J., Nam, S., Lee, D., Lee, Y., Kang, N., Lee, H. E., Yoo, B. I., Han, J. J. & Kim, S. J., 2021, Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. Institute of Electrical and Electronics Engineers Inc., p. 2390-2399 10 p. (Proceedings of the IEEE International Conference on Computer Vision).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Algorithms 100%
  • Real World 33%
  • Captured Image 33%
  • Deep Neural Network 33%
  • User 33%
  1 Citation (Scopus)

• NTIRE 2021 learning the super-resolution space challenge

  Lugmayr, A., Danelljan, M., Timofte, R., Busch, C., Chen, Y., Cheng, J., Chudasama, V., Gang, R., Gao, S., Gao, K., Gong, L., Han, Q., Huang, C., Jin, Z., Jo, Y., Kim, S. J., Kim, Y., Lee, S., Lei, Y., Li, C. T., & 32 othersLi, C., Li, K., Liu, Z. S., Liu, Y., Nan, N., Park, S. H., Patel, H., Peng, S., Prajapati, K., Qi, H., Raja, K., Ramachandra, R., Siu, W. C., Son, D., Song, R., Upla, K., Wang, L. W., Wang, Y., Wang, J., Wu, Q., Xu, X., Yang, S., Yuan, Z., Zhang, L., Zhang, H., Zhang, J., Zhang, Y., Zhang, Z., Zhou, H., Zhu, A., Zhuang, X. & Zou, J., 2021 Jun, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021. IEEE Computer Society, p. 596-612 17 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Simulation Mode 100%
  • Resolution Image 66%
  • Low Resolution Image 33%
  • Problem Resolution 33%
  • Evaluation Metric 33%
  24 Citations (Scopus)

• Polygonal Point Set Tracking

  Nam, G., Heo, M., Oh, S. W., Lee, J. Y. & Kim, S. J., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. IEEE Computer Society, p. 5565-5574 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Segmentation Method 100%
  • Segmentation 50%
  • Texture Mapping 50%
  • Superior Performance 50%
  • Regularization Term 50%

• Practical Single-Image Super-Resolution Using Look-Up Table

  Jo, Y. & Kim, S. J., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. IEEE Computer Society, p. 691-700 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Interpolation 100%
  • Deep Neural Network 100%
  • Experimental Result 50%
  • Algorithms 50%
  • Smartphones 50%
  11 Citations (Scopus)

• SRFlow-DA: Super-resolution using normalizing flow with deep convolutional block

  Jo, Y., Yang, S. & Kim, S. J., 2021 Jun, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021. IEEE Computer Society, p. 364-372 9 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Simulation Mode 100%
  • Resolution Image 50%
  • Low Resolution Image 50%
  • Receptive Field 25%
  • Convolutional Layer 25%
  9 Citations (Scopus)

• Tackling the ill-posedness of super-resolution through adaptive target generation

  Jo, Y., Oh, S. W., Vajda, P. & Kim, S. J., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. IEEE Computer Society, p. 16231-16240 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Algorithms 100%
  • Resolution Image 40%
  • Low Resolution Image 40%
  • Experimental Result 20%
  • Perceptual Quality 20%
  8 Citations (Scopus)

• Video Instance Segmentation using Inter-Frame Communication Transformers

  Hwang, S., Heo, M., Oh, S. W. & Kim, S. J., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 13352-13363 12 p. (Advances in Neural Information Processing Systems; vol. 16).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Communication 100%
  • Instance Segmentation 100%
  • Computation 33%
  • Benchmark 33%
  • Simulation Mode 33%
  8 Citations (Scopus)
• 2020

  Cross-Identity Motion Transfer for Arbitrary Objects Through Pose-Attentive Video Reassembling

  Jeon, S., Nam, S., Oh, S. W. & Kim, S. J., 2020, Computer Vision – ECCV 2020 - 16th European Conference, 2020, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 292-308 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12369 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Networks 100%
  • Simulation Mode 66%
  • Testing 66%
  • Experimental Result 33%
  • Multiple Observation 33%
  1 Citation (Scopus)

• Deep Space-Time Video Upsampling Networks

  Kang, J., Jo, Y., Oh, S. W., Vajda, P. & Kim, S. J., 2020, Computer Vision – ECCV 2020 - 16th European Conference, 2020, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 701-717 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12355 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Interpolation 100%
  • Deep Neural Network 66%
  • Computation Time 33%
  • Motion Compensation 33%
  • Source Codes 33%
  4 Citations (Scopus)

• Investigating loss functions for extreme super-resolution

  Jo, Y., Yang, S. & Kim, S. J., 2020 Jun, Proceedings - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020. IEEE Computer Society, p. 1705-1712 8 p. 9150941. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2020-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Functions 100%
  • Experimental Result 50%
  • Convolutional Neural Network 50%
  • Resolution Method 50%
  • Contexts 50%
  28 Citations (Scopus)

• NTIRE 2020 challenge on perceptual extreme super-resolution: Methods and results

  Zhang, K., Gu, S., Timofte, R., Shang, T., Dai, Q., Zhu, S., Yang, T., Guo, Y., Jo, Y., Yang, S., Kim, S. J., Zha, L., Jiang, J., Gao, X., Lu, W., Liu, J., Yoon, K., Jeon, T., Akita, K., Ooba, T., & 43 othersUkita, N., Luo, Z., Yao, Y., Xu, Z., He, D., Wu, W., Ding, Y., Li, C., Li, F., Wen, S., Li, J., Yang, F., Yang, H., Fu, J., Kim, B. H., Baek, J., Ye, J. C., Fan, Y., Huang, T. S., Lee, J., Lee, B., Min, J., Kim, G., Lee, K., Park, J., Mykhailych, M., Zhong, H., Shi, Y., Yang, X., Yang, Z., Lin, L., Zhao, T., Peng, J., Wang, H., Jin, Z., Wu, J., Chen, Y., Shang, C., Zhang, H., Min, J., Ps, H., Puthussery, D. & Cv, J., 2020 Jun, Proceedings - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020. IEEE Computer Society, p. 2045-2057 13 p. 9150605. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2020-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • High Resolution 100%
  • Images 100%
  • Foci 50%
  • Measuring Instruments 50%
  • Perceptual Quality 50%
  32 Citations (Scopus)
• 2019

  Copy-and-paste networks for deep video inpainting

  Lee, S., Oh, S. W., Won, D. & Kim, S. J., 2019 Oct, Proceedings - 2019 International Conference on Computer Vision, ICCV 2019. Institute of Electrical and Electronics Engineers Inc., p. 4412-4420 9 p. 9010669. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2019-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Networks 100%
  • Video Inpainting 83%
  • Algorithms 16%
  • Optimization 16%
  • Detection Accuracy 16%
  51 Citations (Scopus)

• End-to-end time-lapse video synthesis from a single outdoor image

  Nam, S., Ma, C., Chai, M., Brendel, W., Xu, N. & Joo Kim, S. J., 2019 Jun, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 1409-1418 10 p. 8953635. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Video Synthesis 100%
  • Algorithms 50%
  • Synthesis Algorithm 50%
  • Video Sequences 50%
  • Image Sequence 50%
  24 Citations (Scopus)

• Fast user-guided video object segmentation by interaction-and-propagation networks

  Oh, S. W., Lee, J. Y., Xu, N. & Kim, S. J., 2019 Jun, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 5242-5251 10 p. 8954041. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Segmentation 100%
  • Networks 100%
  • User 75%
  • Interactive Video 50%
  • Benchmark 25%
  27 Citations (Scopus)

• Onion-peel networks for deep video completion

  Oh, S. W., Lee, S., Lee, J. Y. & Kim, S. J., 2019 Oct, Proceedings - 2019 International Conference on Computer Vision, ICCV 2019. Institute of Electrical and Electronics Engineers Inc., p. 4402-4411 10 p. 9010390. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2019-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Networks 100%
  • Reference Image 80%
  • Contextual Information 20%
  • Missing Information 20%
  • Sufficient Number 20%
  52 Citations (Scopus)

• Video object segmentation using space-time memory networks

  Oh, S. W., Lee, J. Y., Xu, N. & Kim, S. J., 2019 Oct, Proceedings - 2019 International Conference on Computer Vision, ICCV 2019. Institute of Electrical and Electronics Engineers Inc., p. 9225-9234 10 p. 9008790. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2019-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Segmentation 100%
  • Networks 100%
  • Benchmark 50%
  • Feature Space 50%
  • Relevant Information 50%
  252 Citations (Scopus)
• 2018

  Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation

  Jo, Y., Oh, S. W., Kang, J. & Kim, S. J., 2018 Dec 14, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 3224-3232 9 p. 8578438. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Networks 100%
  • Motion Compensation 75%
  • Motion Estimation 25%
  • Resolution Image 25%
  • High Definition 25%
  326 Citations (Scopus)

• EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field Images

  Shin, C., Jeon, H. G., Yoon, Y., Kweon, I. S. & Kim, S. J., 2018 Dec 14, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 4748-4757 10 p. 8578597. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Depth Estimation 100%
  • Convolutional Neural Network 66%
  • Estimation Method 33%
  • Real World 33%
  • Training Data 33%
  166 Citations (Scopus)

• Fast Video Object Segmentation by Reference-Guided Mask Propagation

  Oh, S. W., Lee, J. Y., Sunkavalli, K. & Kim, S. J., 2018 Dec 14, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 7376-7385 10 p. 8578868. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Segmentation 100%
  • Benchmark 66%
  • Networks 66%
  • Accuracy 66%
  • Online Learning 33%
  251 Citations (Scopus)

• Teaching machines to understand baseball games: Large-scale baseball video database for multiple video understanding tasks

  Shim, M., Kim, Y. H., Kim, K. & Kim, S. J., 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Weiss, Y., Ferrari, V., Sminchisescu, C. & Hebert, M. (eds.). Springer Verlag, p. 420-437 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11219 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Video Understanding 100%
  • Algorithms 33%
  • Training Data 33%
  • Annotation 33%
  • Video Database 33%
  3 Citations (Scopus)
• 2017

  Modelling the Scene Dependent Imaging in Cameras with a Deep Neural Network

  Nam, S. & Kim, S. J., 2017 Dec 22, Proceedings - 2017 IEEE International Conference on Computer Vision, ICCV 2017. Institute of Electrical and Electronics Engineers Inc., p. 1726-1734 9 p. 8237452. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2017-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Simulation Mode 100%
  • Image Processing 66%
  • Learning Framework 33%
  • Computer Vision Task 33%
  • Deep Neural Network 33%
  15 Citations (Scopus)
• 2016

  A Holistic Approach to Cross-Channel Image Noise Modeling and Its Application to Image Denoising

  Nam, S., Hwang, Y., Matsushita, Y. & Kim, S. J., 2016 Dec 9, Proceedings - 29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016. IEEE Computer Society, p. 1683-1691 9 p. 7780555. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2016-December).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Image 100%
  • Channels 100%
  • Images 100%
  • Colour 83%
  • Model 66%
  134 Citations (Scopus)

• Do It Yourself Hyperspectral Imaging with Everyday Digital Cameras

  Oh, S. W., Brown, M. S., Pollefeys, M. & Kim, S. J., 2016 Dec 9, Proceedings - 29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016. IEEE Computer Society, p. 2461-2469 9 p. 7780639. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2016-December).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Hyperspectral Image 100%
  • Digital Camera 75%
  • Hyperspectral Imaging 50%
  • Hardware 50%
  • Algorithms 25%
  57 Citations (Scopus)
• 2015

  Complementary sets of shutter sequences for motion deblurring

  Jeon, H. G., Lee, J. Y., Han, Y., Kim, S. J. & Kweon, I. S., 2015 Feb 17, 2015 International Conference on Computer Vision, ICCV 2015. Institute of Electrical and Electronics Engineers Inc., p. 3541-3549 9 p. 7410761. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2015 International Conference on Computer Vision, ICCV 2015).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Algorithms 100%
  • Spatial Frequency 100%
  • Quantitative Comparison 100%
  • Qualitative Comparison 100%
  • Communication 100%
  4 Citations (Scopus)

• Robust stereo matching using probabilistic laplacian surface propagation

  Kim, S., Ham, B., Ryu, S., Kim, S. J. & Sohn, K., 2015, Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Revised Selected Papers. Reid, I., Yang, M-H., Saito, H. & Cremers, D. (eds.). Springer Verlag, p. 368-383 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9003).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Stereo Matching 100%
  • Control Surface 100%
  • Superpixel 66%
  • Functions 66%
  • Experimental Result 33%
  3 Citations (Scopus)
• 2014

  Color transfer using probabilistic moving least squares

  Hwang, Y., Lee, J. Y., Kweon, I. S. & Kim, S. J., 2014 Sept 24, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, p. 3342-3349 8 p. 6909823. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Images 100%
  • Colour Space 50%
  • Least Square 50%
  • Illumination Condition 25%
  • Misalignment 25%
  79 Citations (Scopus)
• 2013

  Color-aware regularization for gradient domain image manipulation

  Deng, F., Kim, S. J., Tai, Y. W. & Brown, M. S., 2013, Computer Vision, ACCV 2012 - 11th Asian Conference on Computer Vision, Revised Selected Papers. PART 4 ed. p. 392-405 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7727 LNCS, no. PART 4).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Regularization 100%
  • Domains 75%
  • Image Manipulation 50%
  • Mahalanobis Distance 25%
  • Regularization Method 25%
  2 Citations (Scopus)

• Fluttering pattern generation using modified legendre sequence for coded exposure imaging

  Jeon, H. G., Lee, J. Y., Han, Y., Kim, S. J. & Kweon, I. S., 2013, Proceedings - 2013 IEEE International Conference on Computer Vision, ICCV 2013. Institute of Electrical and Electronics Engineers Inc., p. 1001-1008 8 p. 6751234. (Proceedings of the IEEE International Conference on Computer Vision).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Good 100%
  • Binary Code 66%
  • Show 66%
  • Algorithms 66%
  • Autocorrelation 33%
  14 Citations (Scopus)
• 2012

  Brush-and-drag: A multi-touch interface for photo triaging

  Kim, S. J., Ng, H., Winkler, S., Song, P. & Fu, C. W., 2012, MobileHCI'12 - Proceedings of the 14th International Conference on Human Computer Interaction with Mobile Devices and Services. p. 59-68 10 p. (MobileHCI'12 - Proceedings of the 14th International Conference on Human Computer Interaction with Mobile Devices and Services).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • User 100%
  • Segmentation 50%
  • Mobile Device 50%
  • Digital Camera 50%
  • Tablet Computer 50%
  6 Citations (Scopus)

• Nonlinear camera response functions and image deblurring

  Kim, S., Tai, Y. W., Kim, S. J., Brown, M. S. & Matsushita, Y., 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012. p. 25-32 8 p. 6247654. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Response Function 100%
  • Point Spread Function 42%
  • Estimation Algorithm 28%
  • Deconvolution 28%
  • Invariants 14%
  26 Citations (Scopus)

• Nonuniform lattice regression for modeling the camera imaging pipeline

  Lin, H. T., Lu, Z., Kim, S. J. & Brown, M. S., 2012, Computer Vision, ECCV 2012 - 12th European Conference on Computer Vision, Proceedings. PART 1 ed. p. 556-568 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7572 LNCS, no. PART 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Table Lookup 100%
  • Mapping Function 100%
  • Radial Basis Function 66%
  • Modeling 66%
  • Computational Cost 33%
  10 Citations (Scopus)
• 2011

  Constructing image panoramas using dual-homography warping

  Gao, J., Kim, S. J. & Brown, M. S., 2011, 2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011. IEEE Computer Society, p. 49-56 8 p. 5995433. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Images 100%
  • Warping 85%
  • Homography 57%
  • Alignment 42%
  • Artefact 28%
  234 Citations (Scopus)

• Revisiting radiometric calibration for color computer vision

  Lin, H., Kim, S. J., Susstrunk, S. & Brown, M. S., 2011, 2011 International Conference on Computer Vision, ICCV 2011. p. 129-136 8 p. 6126234. (Proceedings of the IEEE International Conference on Computer Vision).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Simulation Mode 100%
  • Saturation Color 100%
  • Conventional Method 50%
  • Mapping Process 50%
  • Color Correction 50%
  32 Citations (Scopus)
• 2010

  Colorization for single image super resolution

  Liu, S., Brown, M. S., Kim, S. J. & Tai, Y. W., 2010, Computer Vision, ECCV 2010 - 11th European Conference on Computer Vision, Proceedings. PART 6 ed. Springer Verlag, p. 323-336 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6316 LNCS, no. PART 6).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Procedures 100%
  • Backprojection 33%
  • Luminance Channel 33%
  10 Citations (Scopus)
• 2009

  A model change detection approach to dynamic scene modeling

  Kim, S. J., Doretto, G., Rittscher, J., Tu, P., Krahnstoever, N. & Pollefeys, M., 2009, 6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009. p. 490-495 6 p. 5279913. (6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Simulation Mode 100%
  • Scene Modeling 20%
  • Modeling 20%
  • Detection 20%
  • Procedures 20%
  6 Citations (Scopus)
• 2008

  Radiometric calibration with illumination change for outdoor scene analysis

  Seon, J. K., Frahm, J. M. & Pollefeys, M., 2008, 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR. 4587648. (26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Response Function 100%
  • Algorithms 50%
  • Simulation Mode 50%
  • Appearance Variation 50%
  • Scene Analysis 50%
  43 Citations (Scopus)
• 2001

  Algorithm for detection and elimination of false minutiae in fingerprint images

  Kim, S., Lee, D. & Kim, J., 2001, Audio- and Video-Based Biometric Person Authentication - Third International Conference, AVBPA 2001, Proceedings. Springer Verlag, p. 235-240 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2091 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Postprocessing 100%
  • Algorithms 80%
  • Matching Process 20%
  • Fingerprint Image 20%
  • Fingerprint Recognition 20%
  20 Citations (Scopus)