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2020 – today
- 2024
[j14]Han-Nyoung Lee
, Hak Gu Kim:
Photometric Stereo Super Resolution via Complex Surface Structure Estimation. IEEE Access 12: 14314-14323 (2024)- [j13]Han-Nyoung Lee, Hak Gu Kim:
Super-Resolution Neural Radiance Field via Learning High Frequency Details for High-Fidelity Novel View Synthesis. IEEE Signal Process. Lett. 31: 466-470 (2024) - [c32]Taeheon Kim, Sebin Shin, Youngjoon Yu, Hak Gu Kim, Yong Man Ro:
Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection. CVPR 2024: 26774-26783 - [i12]Taeheon Kim, Sebin Shin, Youngjoon Yu, Hak Gu Kim, Yong Man Ro:
Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection. CoRR abs/2403.01300 (2024) - [i11]Taeheon Kim, Sangyun Chung, Damin Yeom, Youngjoon Yu, Hak Gu Kim, Yong Man Ro:
MSCoTDet: Language-driven Multi-modal Fusion for Improved Multispectral Pedestrian Detection. CoRR abs/2403.15209 (2024) - 2022
- [j12]Sangmin Lee, Seongyeop Kim, Hak Gu Kim, Yong Man Ro:
Assessing Individual VR Sickness Through Deep Feature Fusion of VR Video and Physiological Response. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2895-2907 (2022) - [c31]Hak Gu Kim, Davide Nanni, Sabine Süsstrunk:
Natural-Looking Adversarial Examples from Freehand Sketches. ICASSP 2022: 3723-3727 - 2021
- [j11]Minho Park, Hak Gu Kim, Sangmin Lee, Yong Man Ro:
Robust Video Frame Interpolation With Exceptional Motion Map. IEEE Trans. Circuits Syst. Video Technol. 31(2): 754-764 (2021) - [c30]Hak Gu Kim, Sangmin Lee, Seongyeop Kim, Heoun-taek Lim, Yong Man Ro:
Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents. AAAI 2021: 836-844 - [c29]Hak Gu Kim, Minho Park, Sangmin Lee, Seongyeop Kim, Yong Man Ro:
Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images. AAAI 2021: 1762-1770 - [c28]Sangmin Lee, Hak Gu Kim, Dae Hwi Choi, Hyung-Il Kim, Yong Man Ro:
Video Prediction Recalling Long-Term Motion Context via Memory Alignment Learning. CVPR 2021: 3054-3063 - [i10]Sangmin Lee, Hak Gu Kim, Dae Hwi Choi, Hyung-Il Kim, Yong Man Ro:
Video Prediction Recalling Long-term Motion Context via Memory Alignment Learning. CoRR abs/2104.00924 (2021) - [i9]Hak Gu Kim, Sangmin Lee, Seongyeop Kim, Heoun-taek Lim, Yong Man Ro:
Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents. CoRR abs/2104.06780 (2021) - [i8]Hak Gu Kim, Minho Park, Sangmin Lee, Seongyeop Kim, Yong Man Ro:
Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images. CoRR abs/2104.06782 (2021) - 2020
- [j10]Hak Gu Kim, Heoun-taek Lim, Yong Man Ro:
Deep Virtual Reality Image Quality Assessment With Human Perception Guider for Omnidirectional Image. IEEE Trans. Circuits Syst. Video Technol. 30(4): 917-928 (2020) - [j9]Jung Uk Kim, Jungsu Kwon, Hak Gu Kim, Yong Man Ro:
BBC Net: Bounding-Box Critic Network for Occlusion-Robust Object Detection. IEEE Trans. Circuits Syst. Video Technol. 30(4): 1037-1050 (2020) - [j8]Jae-Hyeok Lee, Sangmin S. Lee, Hak Gu Kim, Sa-Kwang Song, Seongchan Kim, Yong Man Ro:
MCSIP Net: Multichannel Satellite Image Prediction via Deep Neural Network. IEEE Trans. Geosci. Remote. Sens. 58(3): 2212-2224 (2020) - [j7]Sangmin Lee, Hak Gu Kim, Yong Man Ro:
BMAN: Bidirectional Multi-Scale Aggregation Networks for Abnormal Event Detection. IEEE Trans. Image Process. 29: 2395-2408 (2020) - [c27]Hong Joo Lee, Jung Uk Kim, Sangmin Lee, Hak Gu Kim, Yong Man Ro:
Structure Boundary Preserving Segmentation for Medical Image With Ambiguous Boundary. CVPR 2020: 4816-4825 - [c26]Sangmin Lee, Jung Uk Kim, Hak Gu Kim, Seongyeop Kim, Yong Man Ro:
SACA Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-Based Symptom Relation Embedding. ECCV (23) 2020: 170-186
2010 – 2019
- 2019
- [j6]Hak Gu Kim, Hyunwook Jeong, Heoun-taek Lim, Yong Man Ro:
Binocular Fusion Net: Deep Learning Visual Comfort Assessment for Stereoscopic 3D. IEEE Trans. Circuits Syst. Video Technol. 29(4): 956-967 (2019) - [j5]Hak Gu Kim, Heoun-taek Lim, Sangmin Lee, Yong Man Ro:
VRSA Net: VR Sickness Assessment Considering Exceptional Motion for 360° VR Video. IEEE Trans. Image Process. 28(4): 1646-1660 (2019) - [c25]Sangmin Lee, Seongyeop Kim, Hak Gu Kim, Min Seob Kim, Seokho Yun, Bumseok Jeong, Yong Man Ro:
Physiological Fusion Net: Quantifying Individual VR Sickness with Content Stimulus and Physiological Response. ICIP 2019: 440-444 - [c24]Ki Hyun Kim, Sangmin Lee, Hak Gu Kim, Minho Park, Yong Man Ro:
Deep Objective Assessment Model Based on Spatio-Temporal Perception of 360-Degree Video for VR Sickness Prediction. ICIP 2019: 3192-3196 - [c23]Minho Park, Hak Gu Kim, Yong Man Ro:
Generative Guiding Block: Synthesizing Realistic Looking Variants Capable of Even Large Change Demands. ICIP 2019: 4444-4448 - [c22]Hong Joo Lee, Hak Gu Kim, Hyenok Park, Dongkuk Shin, Yong Man Ro:
Region-guided adversarial learning for anatomical landmark detection in uterus ultrasound image. Medical Imaging: Image Processing 2019: 1094937 - [c21]Minho Park, Hak Gu Kim, Yong Man Ro:
Photo-Realistic Facial Emotion Synthesis Using Multi-level Critic Networks with Multi-level Generative Model. MMM (2) 2019: 3-15 - [i7]Minho Park, Hak Gu Kim, Yong Man Ro:
Generative Guiding Block: Synthesizing Realistic Looking Variants Capable of Even Large Change Demands. CoRR abs/1907.01187 (2019) - 2018
- [c20]Sangmin Lee, Hak Gu Kim, Yong Man Ro:
Stan: Spatio- Temporal Adversarial Networks for Abnormal Event Detection. ICASSP 2018: 1323-1327 - [c19]Heoun-taek Lim, Hak Gu Kim, Yang Man Ra:
VR IQA NET: Deep Virtual Reality Image Quality Assessment Using Adversarial Learning. ICASSP 2018: 6737-6741 - [c18]Jung Uk Kim, Jungsu Kwon, Hak Gu Kim, Haesung Lee, Yong Man Ro:
Object Bounding Box-Critic Networks for Occlusion-Robust Object Detection in Road Scene. ICIP 2018: 1313-1317 - [c17]Sangmin S. Lee, Hak Gu Kim, Ki Hyun Kim, Yong Man Ro:
Adversarial Spatial Frequency Domain Critic Learning for Age and Gender Classification. ICIP 2018: 2032-2036 - [c16]Seong Tae Kim, Hakmin Lee, Hak Gu Kim, Yong Man Ro:
ICADx: interpretable computer aided diagnosis of breast masses. Medical Imaging: Computer-Aided Diagnosis 2018: 1057522 - [c15]Hong Joo Lee, Wissam J. Baddar, Hak Gu Kim, Seong Tae Kim, Yong Man Ro:
Teacher and Student Joint Learning for Compact Facial Landmark Detection Network. MMM (1) 2018: 493-504 - [i6]Hak Gu Kim, Wissam J. Baddar, Heoun-taek Lim, Hyunwook Jeong, Yong Man Ro:
Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder. CoRR abs/1804.03939 (2018) - [i5]Heoun-taek Lim, Hak Gu Kim, Yong Man Ro:
VR IQA NET: Deep Virtual Reality Image Quality Assessment using Adversarial Learning. CoRR abs/1804.03943 (2018) - [i4]Sangmin Lee, Hak Gu Kim, Yong Man Ro:
STAN: Spatio-Temporal Adversarial Networks for Abnormal Event Detection. CoRR abs/1804.08381 (2018) - [i3]Seong Tae Kim, Hakmin Lee, Hak Gu Kim, Yong Man Ro:
ICADx: Interpretable computer aided diagnosis of breast masses. CoRR abs/1805.08960 (2018) - 2017
- [j4]Hak Gu Kim, Yong Man Ro:
Multiview Stereoscopic Video Hole Filling Considering Spatiotemporal Consistency and Binocular Symmetry for Synthesized 3D Video. IEEE Trans. Circuits Syst. Video Technol. 27(7): 1435-1449 (2017) - [c14]Hak Gu Kim, Yeoreum Choi, Yong Man Ro:
Modality-bridge transfer learning for medical image classification. CISP-BMEI 2017: 1-5 - [c13]Jung Uk Kim, Hak Gu Kim, Yong Man Ro:
Iterative deep convolutional encoder-decoder network for medical image segmentation. EMBC 2017: 685-688 - [c12]Hyunwook Jeong, Hak Gu Kim, Yong Man Ro:
Visual comfort assessment of stereoscopic images using deep visual and disparity features based on human attention. ICIP 2017: 715-719 - [c11]Jung Uk Kim, Hak Gu Kim, Yong Man Ro:
Robust and Real-Time Visual Tracking with Triplet Convolutional Neural Network. ACM Multimedia (Thematic Workshops) 2017: 280-286 - [c10]Hak Gu Kim, Wissam J. Baddar, Heoun-taek Lim, Hyunwook Jeong, Yong Man Ro:
Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder. VRST 2017: 36:1-36:7 - [i2]Hak Gu Kim, Yeoreum Choi, Yong Man Ro:
Modality-bridge Transfer Learning for Medical Image Classification. CoRR abs/1708.03111 (2017) - [i1]Jung Uk Kim, Hak Gu Kim, Yong Man Ro:
Iterative Deep Convolutional Encoder-Decoder Network for Medical Image Segmentation. CoRR abs/1708.03431 (2017) - 2016
- [j3]Yong Ju Jung, Hak Gu Kim, Yong Man Ro:
Critical Binocular Asymmetry Measure for the Perceptual Quality Assessment of Synthesized Stereo 3D Images in View Synthesis. IEEE Trans. Circuits Syst. Video Technol. 26(7): 1201-1214 (2016) - [c9]Heoun-taek Lim, Hak Gu Kim, Yong Man Ro:
Learning based hole filling method using deep convolutional neural network for view synthesis. Image Processing: Machine Vision Applications 2016: 1-5 - [c8]Hak Gu Kim, Yong Man Ro:
A new hole filling method based on 3D geometric transformation for synthesized image. SD&A 2016: 1-5 - [c7]Hak Gu Kim, Yong Man Ro:
Measurement of critical temporal inconsistency for quality assessment of synthesized video. ICIP 2016: 1027-1031 - 2015
- [j2]Hak Gu Kim, Seung Ji Seo, Byung Cheol Song:
Multi-frame de-raining algorithm using a motion-compensated non-local mean filter for rainy video sequences. J. Vis. Commun. Image Represent. 26: 317-328 (2015) - [c6]Hak Gu Kim, Yong Ju Jung, Soo Sung Yoon, Yong Man Ro:
Multi-view stereo image synthesis using binocular symmetry-based global optimization. SD&A 2015: 93910X - [c5]Hak Gu Kim, Soo Sung Yoon, Yong Man Ro:
Temporally consistent hole filling method based on global optimization with label propagation for 3D video. ICIP 2015: 3136-3140 - [c4]Hak Gu Kim, Yong Man Ro:
A Sparse Representation-Based Label Pruning for Image Inpainting Using Global Optimization. PCM (1) 2015: 106-113 - 2014
- [j1]Hak Gu Kim, Jin-Ku Kang, Byung Cheol Song:
Automatic SfM-Based 2D-to-3D Conversion for Multi-Object Scenes. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(5): 1159-1161 (2014) - [c3]Hak Gu Kim, Yong Ju Jung, Soo Sung Yoon, Yong Man Ro:
Investigating experienced quality factors in synthesized multi-view stereo images. DSP 2014: 568-573 - 2013
- [c2]Hak Gu Kim, Jin-Ku Kang, Byung Cheol Song:
Three-dimensional perception improvement using sharpness adjustment and hardware implementation. ICME Workshops 2013: 1-4 - [c1]Hak Gu Kim, Byung Cheol Song:
Automatic object-based 2D-to-3D conversion. IVMSP 2013: 1-4
Coauthor Index
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last updated on 2024-11-15 19:31 CET by the dblp team
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