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Bumsub Ham
Bumsub Ham
Verified email at yonsei.ac.kr - Homepage
Title
Cited by
Cited by
Year
Learning memory-guided normality for anomaly detection
H Park, J Noh, B Ham
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
6602020
Fast global image smoothing based on weighted least squares
D Min, S Choi, J Lu, B Ham, K Sohn, MN Do
IEEE Transactions on Image Processing 23 (12), 5638-5653, 2014
4012014
Robust guided image filtering using nonconvex potentials
B Ham, M Cho, J Ponce
IEEE transactions on pattern analysis and machine intelligence 40 (1), 192-207, 2017
1842017
Fcss: Fully convolutional self-similarity for dense semantic correspondence
S Kim, D Min, B Ham, S Jeon, S Lin, K Sohn
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1672017
Scnet: Learning semantic correspondence
K Han, RS Rezende, B Ham, KYK Wong, M Cho, C Schmid, J Ponce
Proceedings of the IEEE international conference on computer vision, 1831-1840, 2017
1552017
Proposal flow
B Ham, M Cho, C Schmid, J Ponce
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1532016
Robust image filtering using joint static and dynamic guidance
B Ham, M Cho, J Ponce
Proceedings of the IEEE conference on computer vision and pattern …, 2015
1532015
Learning by aligning: Visible-infrared person re-identification using cross-modal correspondences
H Park, S Lee, J Lee, B Ham
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
1462021
Relation network for person re-identification
H Park, B Ham
Proceedings of the AAAI conference on artificial intelligence 34 (07), 11839 …, 2020
1322020
Sfnet: Learning object-aware semantic correspondence
J Lee, D Kim, J Ponce, B Ham
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1322019
Learning with privileged information for efficient image super-resolution
W Lee, J Lee, D Kim, B Ham
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1292020
Proposal flow: Semantic correspondences from object proposals
B Ham, M Cho, C Schmid, J Ponce
IEEE transactions on pattern analysis and machine intelligence 40 (7), 1711-1725, 2017
1252017
Hvpr: Hybrid voxel-point representation for single-stage 3d object detection
J Noh, S Lee, B Ham
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1152021
DASC: Dense adaptive self-correlation descriptor for multi-modal and multi-spectral correspondence
S Kim, D Min, B Ham, S Ryu, MN Do, K Sohn
Proceedings of the IEEE conference on computer vision and pattern …, 2015
1122015
Deformable kernel networks for joint image filtering
B Kim, J Ponce, B Ham
International Journal of Computer Vision 129 (2), 579-600, 2021
952021
Network quantization with element-wise gradient scaling
J Lee, D Kim, B Ham
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
882021
Learning disentangled representation for robust person re-identification
C Eom, B Ham
Advances in neural information processing systems 32, 2019
862019
Background-aware pooling and noise-aware loss for weakly-supervised semantic segmentation
Y Oh, B Kim, B Ham
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
842021
Visual fatigue evaluation and enhancement for 2D-plus-depth video
J Choi, D Kim, B Ham, S Choi, K Sohn
2010 IEEE International Conference on Image Processing, 2981-2984, 2010
732010
Video-based person re-identification with spatial and temporal memory networks
C Eom, G Lee, J Lee, B Ham
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
702021
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