Welcome!

Digital Image Media Lab is a research lab based in Yonsei University, Seoul, South Korea. Since the lab was founded in 1996 under supervision of Prof. Kwanghoon Sohn, we have been conducting research on diverse topics in image processing and computer vision area.

Some of the selected topics we are interested and currently working on are:

3D Video Processing Deep Learning for 3D Video Processing Multi-view Video Processing Image Enhancement / Editing Intelligent Computer Vision Deep Learning for Vision ADAS(advanced driver assistance systems) Multispectral Imaging / Feature Extraction

News

Congratulations! Youngjung Kim(Ph.D. Student)'s paper has been accepted for publication in IEEE Trans. on Image Processing, May. 2018

"Deep Monocular Depth Estimation via Integration of Global and Local Predictions"
Y. Kim, H. Jung, D. Min, and K. Sohn
IEEE Trans. on Image Processing, May 2018.


Congratulations! Seungryong Kim(Postdoctoral Researcher), being named the 33th Chun-Gang Outstanding Research Award 2018, June. 2018

Achievement : IEEE Trans. on Pattern Analysis and Machine Intelligence Vol.39, No.9, pp1712-1729, September, 2017"


Congratulations! Changjae Oh(Ph.D.) will join the postdoctoral researcher of Queen Mary University of London, April. 2018
Congratulations! Jaehoon Cho(Ph.D. Student)'s paper has been accepted in ICME (Oral), July. 2018

"Multi-task Self-supervised Visual Representation Learning for Monocular Road Segmentation."
J. Cho, Y. Kim, H. Jung, C. Oh, J. Youn, and K. Sohn
IEEE International Conference on Multimedia and Expo (ICME), July 2018.


Congratulations! Kihong Park(Ph.D. Student)'s paper has been accepted in Pattern Recognition, March. 2018

"Unified Multi-spectral Pedestrian Detection Based on Probabilistic Fusion Networks."
K. Park, S. Kim, and K. Sohn
Pattern Recognition (PR), March 2018.


Congratulations! Jiyoung Lee(Ph.D. Student)'s paper has been accepted in ICASSP, April. 2018

"Spatiotemporal Attention Based Deep Neural Networks for Emotion Recognition."
J. Lee, S. Kim, S. Kim, and K. Sohn
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 2018.


Congratulations! Kihong Park(Ph.D. Student)'s paper has been accepted in ICRA, May. 2018

"High-precision Depth Estimation with the 3D LiDAR and Stereo Fusion."
K. Park, S. Kim, and K. Sohn
International Conference on Robotics and Automation (ICRA), May 2018.


Congratulations! Seungryong Kim(Ph.D. Student)'s paper has been accepted in IEEE Trans. on Pattern Analysis and Machine Intelligence, Jan. 2018

"FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence."
S. Kim, D. Min, B. Ham, S. Lin , and K. Sohn
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), Jan 2018.


Congratulations! Kyuwon Kim(Ph.D.) being named a 2018 winner of the IEEE Consumer Electronics Society Chester Sall Award for the First place best paper in IEEE Trans. on Consumer Electronics 2016, Oct. 2017

"Non-Parametric Human Segmentation Using Support Vector Machine"
K. Kim, C. Oh, and K. Sohn,
IEEE Trans. on Consumer Electronics, vol. 62, no. 2, pp. 150-158, May. 2016.


Congratulations! Sunok Kim(Ph.D. Student)'s paper has been accepted for publication in IEEE Trans. on Image Processing, Aug. 2017

"Feature Augmentation for Learning Confidence Measure in Stereo Matching"
S. Kim, D. Min, S. Kim, and K. Sohn
IEEE Trans. on Image Processing, August 2017.


Congratulations! Seungryong Kim(Ph.D. Student)'s paper has been accepted in ICCV (Oral), Oct. 2017


"DCTM: Discrete-Continuous Transform Matching for Semantic Flow"
S. Kim, D. Min, S. Lin, and K. Sohn
International Conference on Computer Vision(ICCV), October 2017.
Only oral presentation among Korean authors (top 2%, total of 40 papers).

This research was performed in collaboration with Dr. Steve Lin from Microsoft Research Asia (MSRA) and published on the Microsoft research Blog Link.


Congratulations! 8 members' papers have been accepted in ICIP, Sep. 2017

"Pedestrian Proposal Generation using Depth-aware Scale Estimation"
K. Park, S. Kim and K. Sohn
"Deep Stereo Confidence Prediction for Depth Estimation"
S. Kim, D. Min, B. Ham, S. Kim and K. Sohn
"Depth Prediction from a Single Image with Conditional Adversarial Networks"
H. Jung, Y. Kim, D. Min, C. Oh and K. Sohn
"Multi-spectral Human Co-segmentation via Joint Convolutional Neural Networks"
S. Choi, S. Kim, K. Park and K. Sohn
"Automatic 2D-to-3D Conversion using Multi-scale Deep Neural Network"
J. Lee, H. Jung, Y. Kim and K. Sohn
"Unsupervised Stereo Matching using Correspondence Consistency"
S. Joung, S. Kim, B. Ham and K. Sohn
"Convolutional Feature Pyramid Fusion via Attention Network"
S. Jeon, S. Kim and K. Sohn
"Convolutional Cost Aggregation for Robust Stereo Matching"
S. Jeong, S. Kim, B. Ham and K. Sohn
IEEE International Conference on Image Processing(ICIP), September 2017.


Congratulations! Youngjung Kim(Ph.D. Student)'s paper has been accepted for publication in IEEE Trans. on Image Processing, May. 2017

"Fast Domain Decomposition for Global Image Smoothing"
Y. Kim, D. Min, B. Ham, and K. Sohn
IEEE Trans. on Image Processing, May 2017.


An article about collaboration between MSRA and DIML is published on the Microsoft Webpage, May. 2017

Link to article
"Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image via Joint Convolutional Neural Fields"
S. Kim, K. Park, K. Sohn, and S. Lin
in Proc. European Conference on Computer Vision(ECCV), May 2017.


Congratulations! Youngjung Kim(Ph.D. Student)'s paper has been accepted in CVPR (spotlight), Mar. 2017

"Deeply Aggregated Alternating Minimization for Image Resotration."
Y. Kim, H. Jung, D. Min, and K. Sohn
IEEE Conf. Computer Vision Pattern Recognition(CVPR), Mar 2017.


Congratulations! Seungryong Kim(Ph.D. Student)'s paper has been accepted in CVPR, Mar. 2017

"FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence."
S. Kim, D. Min, B. Ham, S. Jeon, S.Lin and K. Sohn
IEEE Conf. Computer Vision Pattern Recognition(CVPR), Mar 2017.


Congratulations! Jongin Son(Ph.D.) and Hangil Choi(M.S.) have been graduated from Yonsei Univ. Feb. 2017
Congratulations! Seungryong Kim(Ph.D. Student)'s paper has been accepted for publication in IEEE Trans. on Image Processing, Nov. 2016

"Modality-Invariant Image Classification Based on Modality Uniqueness and Dictionary Learning."
S. Kim, R. Cai, K. Park, S. Kim, and K. Sohn
IEEE Trans. on Image Processing, November 2016.


Congratulations! Seungryong Kim(Ph.D. Student)'s paper has been accepted for publication in IEEE Trans. on Pattern Analysis and Machine Intelligence, Sep. 2016

"DASC: Robust Dense Descriptor for Multi-modal and Multi-spectral Correspondence Estimation."
S. Kim, D. Min, B. Ham, M. Do, and K. Sohn
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), September 2016.


Congratulations! Seungryong Kim(Ph.D. Student), Kihong Park(Ph.D. Student) and Hangil Choi(M.S. Student) won the Hyundai Hackathon Callenge 2016, Aug. 2016



"딥러닝을 이용한 실시간 트래픽 모니터링 시스템"
S. Kim, K. Park, and H. Choi
Hyundai Hackathon Callenge 2016


Congratulations! Seungchul Ryu(Ph.D. Student)'s paper has been accepted for publication in Pattern Recognition, Sep. 2016

"Local Area Transform for Cross Modal Correspondence Matching."
S. Ryu, S. Kim, and K. Sohn
Pattern Recognition (PR), September 2016.


Congratulations! Youngjung Kim(Ph.D. Student)'s paper has been accepted for publication in IEEE Trans. on Image Processing, Aug. 2016

"Structure selective depth super-resolution for RGB-D cameras."
Y. Kim, B. Ham, C. Oh, and K. Sohn
IEEE Trans. on Image Processing, August 2016.


• Congratulations! Bumsub Ham(Ph.D.) will join the faculty of Yonsei University, Aug. 2016
• Congratulations! Seungryong Kim(Ph.D. Student)'s papers have been accepted in ECCV (spotlight), Jul. 2016

Recent activities

• ICRA 2018, Brisbane, Australia: K. Park, "High-precision Depth Estimation with the 3D LiDAR and Stereo Fusion"
• ICASSP 2018, Calgary, Canada: J. Lee, "Spatiotemporal Attention Based Deep Neural Networks for Emotion Recognition"
• ICCV 2017, Venice, Italy: S. Kim, "DCTM: Discrete-Continuous Transform Matching for Semantic Flow"
• ICIP 2017, Beijing, China: K. Park, "Pedestrian Proposal Generation using Depth-aware Scale Estimation"
• ICIP 2017, Beijing, China: S. Kim, "Deep Stereo Confidence Prediction for Depth Estimation"
• ICIP 2017, Beijing, China: H. Jung, "Depth Prediction from a Single Image with Conditional Adversarial Networks"
• ICIP 2017, Beijing, China: S. Choi, "Multi-spectral Human Co-segmentation via Joint Convolutional Neural Networks"
• ICIP 2017, Beijing, China: J. Lee, "Automatic 2D-to-3D Conversion using Multi-scale Deep Neural Network"
• ICIP 2017, Beijing, China: S. Joung, "Unsupervised Stereo Matching using Correspondence Consistency"
• ICIP 2017, Beijing, China: S. Jeon, "Convolutional Feature Pyramid Fusion via Attention Network"
• ICIP 2017, Beijing, China: S. Jeong, "Convolutional Cost Aggregation for Robust Stereo Matching"
• CVPR 2017, Hawaii, US: Y. Kim, "Deeply Aggregated Alternating Minimization for Image Resotration"
• CVPR 2017, Hawaii, US: K. Kim, "FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence"
• ICCE 2017, Las Vegas, US: K. Kim, "Lazy Dragging: Effortless Bounding-box Drawing for Touch-screen Devices"
• APSIPA 2016, Jeju, KOR: K. Park, "Homography Flow for Dense Correspondences"
• ICPR 2016, Cancun, MEX: H. Choi, "Multi-spectral Pedestrian Detection Based on Accumulated Object Proposal with Fully Convolution Network"
• ACCV 2016, Taipei, TPE: C. Oh, "Point-cut: Interactive Image Segmentation using One-point Supervision"
• ECCV 2016, Amsterdam, NLD: S. Kim, "Deep Self-Convolutional Activations Descriptor for Dense Cross-Modal Correspondence"
• ECCV 2016, Amsterdam, NLD: S. Kim, "Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image via Joint Convolutional Neural Fields"
• ICIP 2016, Arizona, US: S. Kim, "ANCC FLOW: Adaptive Normalized Cross-Correlation with Evolving Guidance Aggregation for Dense Correspondence Estimation"
• EI 2016, San Francisco, US: S. Choi, "Multi-level segment based dense correspondence: an affine transformation approach"
• EI 2016, San Francisco, US: H. Jeong, "Depth Extraction from a Single Image Based on Block-Matching and Robust Regression"
• ICCE 2016, Las Vegas, US: K. Kim, "Non-Parametric Human Segmentation Using Support Vector Machine"

 

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• C129, The 3rd Engineering Building, Yonsei University, 50 Yonsei-ro, Seodaemun-Gu, Seoul 120-749, Korea
• Phone: +82-2-2123-2879
  Fax: +82-2-313-2879
  Email: khsohnyonsei.ac.kr

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