| A comparative study of modern inference techniques for discrete energy minimization problems J Kappes, B Andres, F Hamprecht, C Schnorr, S Nowozin, D Batra, S Kim, ... Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 197 | 2013 |
| A comparative study of modern inference techniques for discrete energy minimization problems J Kappes, B Andres, F Hamprecht, C Schnorr, S Nowozin, D Batra, S Kim, ... Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 197 | 2013 |
| A comparative study of modern inference techniques for structured discrete energy minimization problems JH Kappes, B Andres, FA Hamprecht, C Schnörr, S Nowozin, D Batra, ... International Journal of Computer Vision 115 (2), 155-184, 2015 | 181 | 2015 |
| Higher-order correlation clustering for image segmentation S Kim, S Nowozin, P Kohli, C Yoo Advances in neural information processing systems 24, 1530-1538, 2011 | 135 | 2011 |
| Fast autoaugment S Lim, I Kim, T Kim, C Kim, S Kim Advances in Neural Information Processing Systems, 6665-6675, 2019 | 131 | 2019 |
| Bayesian model-agnostic meta-learning J Yoon, T Kim, O Dia, S Kim, Y Bengio, S Ahn Advances in Neural Information Processing Systems, 7332-7342, 2018 | 106 | 2018 |
| Edge-labeling graph neural network for few-shot learning J Kim, T Kim, S Kim, CD Yoo Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 102 | 2019 |
| Image segmentation usinghigher-order correlation clustering S Kim, CD Yoo, S Nowozin, P Kohli IEEE transactions on pattern analysis and machine intelligence 36 (9), 1761-1774, 2014 | 90 | 2014 |
| Image segmentation usinghigher-order correlation clustering S Kim, CD Yoo, S Nowozin, P Kohli IEEE transactions on pattern analysis and machine intelligence 36 (9), 1761-1774, 2014 | 90 | 2014 |
| Bayesian model-agnostic meta-learning T Kim, J Yoon, O Dia, S Kim, Y Bengio, S Ahn arXiv preprint arXiv:1806.03836, 2018 | 75 | 2018 |
| Pairwise boosted audio fingerprint D Jang, CD Yoo, S Lee, S Kim, T Kalker IEEE Transactions on Information Forensics and Security 4 (4), 995-1004, 2009 | 42 | 2009 |
| Wearable sensor activity analysis using semi-Markov models with a grammar O Thomas, P Sunehag, G Dror, S Yun, S Kim, M Robards, A Smola, ... Pervasive and Mobile Computing 6 (3), 342-350, 2010 | 36 | 2010 |
| Task-specific image partitioning S Kim, S Nowozin, P Kohli, CD Yoo IEEE Transactions on Image Processing 22 (2), 488-500, 2012 | 29 | 2012 |
| Boosted binary audio fingerprint based on spectral subband moments S Kim, CD Yoo 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 25 | 2007 |
| Scalable neural architecture search for 3d medical image segmentation S Kim, I Kim, S Lim, W Baek, C Kim, H Cho, B Yoon, T Kim International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 20 | 2019 |
| Method and apparatus for detecting a target keyword SW Kim, M Lee, T Kim, M Jin, KW Hwang US Patent App. 14/087,939, 2014 | 14 | 2014 |
| Adaptive audio frame processing for keyword detection M Lee, T Kim, KW Hwang, SW Kim, M Jin US Patent App. 14/102,097, 2014 | 10 | 2014 |
| Automatic authorization for access to electronic device SW Kim, K Hwang, T Kim, D Kim, M Jin, Y Cho US Patent 9,514,296, 2016 | 9 | 2016 |
| Large margin discriminative semi-Markov model for phonetic recognition S Kim, S Yun, CD Yoo IEEE transactions on audio, speech, and language processing 19 (7), 1999-2012, 2011 | 9 | 2011 |
| Discriminative training of GMM parameters for audio scene classification and audio tagging S Yun, S Kim, S Moon, J Cho, T Kim IEEE AASP Challenge Detect. Classification Acoust. Scenes Events, 2016 | 8 | 2016 |
