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2020 – today
- 2022
[j8]Hae-Gon Jeon, Sunghoon Im
, Jaesung Choe, Minjun Kang, Joon-Young Lee, Martial Hebert:
CMSNet: Deep Color and Monochrome Stereo. Int. J. Comput. Vis. 130(3): 652-668 (2022)- [i10]Seunghun Lee, Wonhyeok Choi, Changjae Kim, Minwoo Choi, Sunghoon Im:
ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation. CoRR abs/2203.06811 (2022) - 2021
- [j7]Sunghoon Im, Hyowon Ha, Hae-Gon Jeon, Stephen Lin, In So Kweon:
Deep Depth from Uncalibrated Small Motion Clip. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1225-1238 (2021) - [j6]Yeonwook Roh, Minho Kim, Sang Min Won, Daseul Lim, Insic Hong, Seunggon Lee, Taewi Kim, Changhwan Kim, Doohoe Lee, Sunghoon Im, Gunhee Lee, Dongjin Kim, Dongwook Shin, Dohyeon Gong, Baekgyeom Kim, Seongyeon Kim, Sungyeong Kim, Hyun Kuk Kim, Bon-Kwon Koo, Sungchul Seo, Je-Sung Koh, Daeshik Kang, Seungyong Han:
Vital signal sensing and manipulation of a microscale organ with a multifunctional soft gripper. Sci. Robotics 6(59) (2021) - [c17]Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon:
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency. AAAI 2021: 1863-1872 - [c16]Seunghun Lee, Sunghyun Cho, Sunghoon Im:
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation. CVPR 2021: 15252-15261 - [c15]Jaesung Choe, Sunghoon Im, François Rameau, Minjun Kang, In So Kweon:
VolumeFusion: Deep Depth Fusion for 3D Scene Reconstruction. ICCV 2021: 16066-16075 - [i9]Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon:
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency. CoRR abs/2102.02629 (2021) - [i8]Seunghun Lee, Sunghyun Cho, Sunghoon Im:
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation. CoRR abs/2103.13447 (2021) - [i7]Jaesung Choe, Sunghoon Im, François Rameau, Minjun Kang, In So Kweon:
VolumeFusion: Deep Depth Fusion for 3D Scene Reconstruction. CoRR abs/2108.08623 (2021) - [i6]Dahoon Park, Kon-Woo Kwon, Sunghoon Im, Jaeha Kung:
ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack. CoRR abs/2111.01080 (2021) - [i5]Minjun Kang, Jaesung Choe, Hyowon Ha, Hae-Gon Jeon, Sunghoon Im, In So Kweon:
Facial Depth and Normal Estimation using Single Dual-Pixel Camera. CoRR abs/2111.12928 (2021) - 2020
- [j5]Hae-Gon Jeon, Jaeheung Surh, Sunghoon Im, In So Kweon:
Ring Difference Filter for Fast and Noise Robust Depth From Focus. IEEE Trans. Image Process. 29: 1045-1060 (2020) - [c14]Hae-Gon Jeon, Sunghoon Im, Jean Oh, Martial Hebert:
Learning Shape-based Representation for Visual Localization in Extremely Changing Conditions. ICRA 2020: 7135-7141
2010 – 2019
- 2019
- [j4]Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo, In So Kweon:
Accurate 3D Reconstruction from Small Motion Clip for Rolling Shutter Cameras. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 775-787 (2019) - [j3]Sunghoon Im, Hae-Gon Jeon, In So Kweon:
Robust Depth Estimation Using Auto-Exposure Bracketing. IEEE Trans. Image Process. 28(5): 2451-2464 (2019) - [c13]Sunghoon Im, Hae-Gon Jeon, Stephen Lin, In So Kweon:
DPSNet: End-to-end Deep Plane Sweep Stereo. ICLR (Poster) 2019 - [c12]Byeong-Uk Lee, Hae-Gon Jeon, Sunghoon Im, In So Kweon:
Depth Completion with Deep Geometry and Context Guidance. ICRA 2019: 3281-3287 - [c11]Hae-Gon Jeon, Sunghoon Im, Byeong-Uk Lee, Dong-Geol Choi, Martial Hebert, In So Kweon:
DISC: A Large-scale Virtual Dataset for Simulating Disaster Scenarios. IROS 2019: 187-194 - [c10]Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon:
Learning Residual Flow as Dynamic Motion from Stereo Videos. IROS 2019: 1180-1186 - [i4]Sunghoon Im, Hae-Gon Jeon, Stephen Lin, In So Kweon:
DPSNet: End-to-end Deep Plane Sweep Stereo. CoRR abs/1905.00538 (2019) - [i3]Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon:
Learning Residual Flow as Dynamic Motion from Stereo Videos. CoRR abs/1909.06999 (2019) - [i2]Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon:
Instance-wise Depth and Motion Learning from Monocular Videos. CoRR abs/1912.09351 (2019) - 2018
- [j2]Gyeongmin Choe, Seong-Heum Kim, Sunghoon Im, Joon-Young Lee, Srinivasa G. Narasimhan, In So Kweon:
RANUS: RGB and NIR Urban Scene Dataset for Deep Scene Parsing. IEEE Robotics Autom. Lett. 3(3): 1808-1815 (2018) - [c9]Sunghoon Im, Hae-Gon Jeon, In So Kweon:
Robust Depth Estimation From Auto Bracketed Images. CVPR 2018: 2946-2954 - [i1]Sunghoon Im, Hae-Gon Jeon, In So Kweon:
Robust Depth Estimation from Auto Bracketed Images. CoRR abs/1803.07702 (2018) - 2017
- [j1]Seunghak Shin, Sunghoon Im, Inwook Shim, Hae-Gon Jeon, In So Kweon:
Geometry Guided Three-Dimensional Propagation for Depth From Small Motion. IEEE Signal Process. Lett. 24(12): 1857-1861 (2017) - [c8]Jaeheung Surh, Hae-Gon Jeon, Yunwon Park, Sunghoon Im, Hyowon Ha, In So Kweon:
Noise Robust Depth from Focus Using a Ring Difference Filter. CVPR 2017: 2444-2453 - 2016
- [c7]Hae-Gon Jeon, Joon-Young Lee, Sunghoon Im, Hyowon Ha, In-So Kweon:
Stereo Matching with Color and Monochrome Cameras in Low-Light Conditions. CVPR 2016: 4086-4094 - [c6]Hyowon Ha, Sunghoon Im, Jaesik Park, Hae-Gon Jeon, In-So Kweon:
High-Quality Depth from Uncalibrated Small Motion Clip. CVPR 2016: 5413-5421 - [c5]Sunghoon Im, Hyowon Ha, François Rameau, Hae-Gon Jeon, Gyeongmin Choe, In-So Kweon:
All-Around Depth from Small Motion with a Spherical Panoramic Camera. ECCV (3) 2016: 156-172 - 2015
- [c4]Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo, In-So Kweon:
High Quality Structure from Small Motion for Rolling Shutter Cameras. ICCV 2015: 837-845 - [c3]Sunghoon Im, Gyeongmin Choe, Hae-Gon Jeon, In So Kweon:
Depth from accidental motion using geometry prior. ICIP 2015: 4160-4164 - [c2]Dong-Jin Kim, Donggeun Yoo, Sunghoon Im, Namil Kim, Tharatch Sirinukulwattana, In-So Kweon:
Relative attributes with deep Convolutional Neural Network. URAI 2015: 157-158 - [c1]Sunghoon Im, Hae-Gon Jeon, Hyowon Ha, In-So Kweon:
Depth estimation from light field cameras. URAI 2015: 190-191
Coauthor Index
aka: In So Kweon
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