Sungwoong Kim

Contact Information

Sungwoong Kim, Ph. D

I am now with Kakao Brain.
Research Scientist
Kakao Brain
11th FL., 20, Pangyoyeok-ro 241, Bundang-gu, Seongnam-si, Gyeonggi-do 13494
Republic of Korea

E-mail: sungwoong.kim01 at gmail dot com

Education

• B.S. in Electrical Engineering, KAIST, Aug. 2004.
  
• Ph.D. in Electrical Engineering, KAIST, Aug. 2011.
  
• Research internship at National ICT Australia (NICTA), working on structured support vector machine for signal processing supervised by Dr. Alexander J. Smola, April 2008 ~ July 2008.
• Research internship at Microsoft Research Cambridge, working on task-dependent unsupervised image segmentation supervised by Dr. Pushmeet Kohli and Dr. Sebastian Nowozin, April 2010 ~ May 2010.

Employment

• Post Doc. in Electrical Engineering, KAIST, Sep. 2011 ~ Mar. 2012.
  
• Staff Engineer, Qualcomm Research Korea, Mar. 2012 ~ Aug. 2017.
  
• Research Scientist, Kakao Brain, Sep. 2017 ~ Present.
  

Curriculum Vitae

The PDF version of the CV is available here.

Research Interest

Machine Learning, Deep Learning, Meta-Learning, Graphical Modeling, Optimization, Multimedia Signal Processing.

Project Experiences

• Meta Learning (Sep 2017 ~ Present).
  
• Development of the on-device learning system for smart IoT (May 2016 ~ Aug. 2017).
  
• Development of the text recognition system for hand-held devices (Jan. 2014 ~ Apr. 2016).
  
• Development of the voice wakeup system for hand-held devices (Mar. 2012 ~ Dec. 2013).
  
• Development of the copyright protection system for multimedia data based on the detection of semantically coherent contents (Mar. 2009 ~ Aug. 2011).
  
• Development of a speech based interface for human robot interaction (May 2009 ~ Aug. 2011).
  
• Multimedia retrieval system based on the detection of semantically coherent contents (Mar. 2009 ~ Aug. 2011).
  
• Development of the image contents annotation, search and retrieval system. (Dec. 2009 ~ June 2010).
  
• Development of feature extraction and indexing for content-based video identification (July 2008 ~ June 2010).
  
• Speaker recognition system (Sep. 2008 ~ Feb. 2009).
  
• Development of the speech and music based human emotion recognition system for intelligent robotics (Apr. 2007 ~ Mar. 2008).
  
• Speech recognizer on the embedded linux system for wearable ubiquitous computer (Mar. 2007 ~ Feb. 2008).
  
• Audio fingerprinting system for copyright projection (May 2005 ~ Nov. 2006).

Publications

• International Journal Papers

  1. Jorg H. Kappes, Bjoern Andres, Fred A. Hamprecht, Christoph Schnorr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Thorben Kroger, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, and Carsten Rother, "A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems," International Journal of Computer Vision, vol. 115, no. 2, pp. 155-184, Nov., 2015.
     
     
  2. Sungwoong Kim, Chang D. Yoo, Sebastian Nowozin, and Pushmeet Kohli, "Image Segmentation Using Higher-Order Correlation Clustering," IEEE Transaction on Pattern Analysis and Machine Intelligence, vol.36, no.9, pp.1761-1774, September 2014.
     
     
  3. Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, and Chang D. Yoo, "Task-Specific Image Partitioning," IEEE Transaction on Image Processing, vol. 22, no. 2, pp. 488-500, Feb., 2013.
     
     
  4. Sungwoong Kim, Sungrack Yun, and Chang D. Yoo, "Large Margin Discriminative Semi-Markov Model for Phonetic Recognition," IEEE Transaction on Audio, Speech, and Language Processing, vol.19, no.7, pp.1999-2012, September 2011.
     
     
  5. O. Thomas, P. Sunehag, G. Dror, Sungrack Yun, Sungwoong Kim, M. Robards, A. Smola, D. Greene, and P. Saunders, "Wearable-Sensor Activity Analysis Using Semi-Markov Models with a Grammar," Pervasive and Mobile Computing, Elsevier, 2010.
     
     
  6. Dalwon Jang, Chang D. Yoo, Sunil Lee, Sungwoong Kim, and Ton Kalker, "Pairwise Boosted Audio Fingerprint," IEEE Trans. Information Forensics and Security, vol.4, no.4, pp.995-1004, December 2009.
     
     

• International Conference Papers

  1. Taesup Kim, Jaesik Yoon, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn, "Bayesian Model-Agnostic Meta-Learning," arXiv preprint arXiv:1806.03836, 2018.
     
     
  2. Jorg H. Kappes, Bjoern Andres, Fred A. Hamprecht, Christoph Schnorr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Jan Lellmann, Nikos Komodakis and Carsten Rother, "A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems," In Proc. IEEE CVPR 2013, Portland, USA, June. 2013.
     
     
  3. Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, and Chang D. Yoo, "Higher-Order Correlation Clustering for Image Segmentation," In Proc. NIPS 2011, Granada, Spain, Dec. 2011.
     
     
  4. Sungwoong Kim, Jongmin Kim, Sungrack Yun, and Chang D. Yoo, "Nu-Structured Support Vector Machines," In Proc. IEEE MLSP 2010, Kittila, Finland, pp. 450-455, Aug. 2010.
     
     
  5. Sungwoong Kim, Sungrack Yun, and Chang D. Yoo, "Large Margin Training of Semi-Markov Model for Phonetic Recognition," In Proc. IEEE ICASSP 2010, Dallas, USA, pp. 1910-1913, Mar. 2010.
     
     
  6. Sungwoong Kim, Sungrack Yun, and Chang D. Yoo, "Margin-Enhanced Maximum Mutual Information Estimation for Hidden Markov Models," In Proc. IEEE International Symposium on Industrial Electronics (ISlE 2009), Seoul, Korea, pp. 1347-1351, July 2009.
     
     
  7. Sungwoong Kim and Chang D. Yoo, "Boosted Binary Audio Finfgerprint Based on Spectral Subband Moments," In Proc. IEEE ICASSP 2007, Honolulu, USA, pp. 241-244, Apr. 2007.
     
     

Patents

1. Chang D. Yoo, Sungwoong Kim, Sanghyuk Park, "Image Segmentation Method Using Higher-Order Clustering, System for Processing the Same and Recording Medium for Storing the Same", 9,111,356, (US), 2015.
   
   
2. Chang D. Yoo, Sungwoong Kim, Sanghyuk Park, "Image Partitioning Method Using High-Order Correlation Clustering, System Processing The Method and Recording Medium", 10-1348904, (Republic of Korea), 2013.
   
   
3. Chang D. Yoo, Sungwoong Kim, Sanghyuk Park, Image Partitioning Method Using Correlation Clustering, System Processing The Method and Recording Medium, 10-1356629, (Republic of Korea), 2014.
   
   
4. Chang D. Yoo, Sungwoong Kim, Continuous Phoneme Recognition Method Using Semi-Markov Model, System Processing The Method and Recording Medium, 10-1359689, (Republic of Korea), 2014.
   
   
5. Chang D. Yoo, Sanghyuk Park, Sungrack Yun, Sungwoong Kim, Advanced Driver Assistance System for Safety Driving Using Driver Adaptive Irregular Behavior Detection and Method thereof, 10-1276770, (Republic of Korea), 2013.
   
   
6. Chang D. Yoo, Sanghyuk Park, Sungrack Yun, Sungwoong Kim, Augmented Reality System for Head-Up Display, 10-1359660, (Republic of Korea), 2014.
   
   
7. Chang D. Yoo, Sanghyuk Park, Sungwoong Kim, Face Detection System and Method Using Skin Color Filtering and Morphology Processing, 10-1143555, (Republic of Korea), 2012.
   
   

Softwares

• Large margin semi-Markov model for phonetic recognition

  Matlab codes: [Window version (x64)] [Linux version (x64)]

• Image segmentation using higher-order correlation clustering

  Matlab codes: [Window version (x64)]

Honors

• Government Scholarship (both Undergraduate and Graduate).

• 16th Samsung Humantech Thesis Prize, Bronze, 2010.

Activities

• Member of IEEE.

• Reviewer of IEEE Transactions on Pattern Analaysis and Machine Intelligence.

• Reviewer of IEEE Transactions on Image Processing.

• Reviewer of IEEE Transactions on Audio, Speech, and Language Processing.

• Reviewer of IEEE Signal Processing Letters.