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ORCIDJungchan Cho
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2020 – today
- 2024
[c9]Sunoh Kim, Jungchan Cho, Joonsang Yu, Youngjoon Yoo, Jin Young Choi:
Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding. AAAI 2024: 2795-2803- 2023
- [c8]Go-Eun Lee, Seon Ho Kim, Jungchan Cho, Sang Tae Choi, Sang-Il Choi:
Text-Guided Cross-Position Attention for Segmentation: Case of Medical Image. MICCAI (5) 2023: 537-546 - [i5]Joohyung Lee, Mohamed Seif, Jungchan Cho, H. Vincent Poor:
Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning. CoRR abs/2311.09441 (2023) - [i4]Sunoh Kim, Jungchan Cho, Joonsang Yu, Youngjoon Yoo, Jin Young Choi:
Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding. CoRR abs/2312.16388 (2023) - 2022
- [j20]Jinah Kim
, Jungchan Cho:
Background-Aware Robust Context Learning for Weakly-Supervised Temporal Action Localization. IEEE Access 10: 65315-65325 (2022) - [j19]Geonu Lee, Jungchan Cho:
STDP-Net: Improved Pedestrian Attribute Recognition Using Swin Transformer and Semantic Self-Attention. IEEE Access 10: 82656-82667 (2022) - [j18]Geonu Lee, Kimin Yun, Jungchan Cho:
Occluded Pedestrian-Attribute Recognition for Video Sensors Using Group Sparsity. Sensors 22(17): 6626 (2022) - [c7]Seunggyu Chang, Jungchan Cho, Songhwai Oh:
Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations. AAAI 2022: 203-211 - [i3]Seunggyu Chang, Jungchan Cho, Songhwai Oh:
Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations. CoRR abs/2203.06901 (2022) - 2021
- [j17]Geonu Lee, Kimin Yun, Jungchan Cho:
Improved Human-Object Interaction Detection Through On-the-Fly Stacked Generalization. IEEE Access 9: 34251-34263 (2021) - [j16]Geonho Cha, Minsik Lee, Jungchan Cho, Songhwai Oh:
Reconstruct as Far as You Can: Consensus of Non-Rigid Reconstruction from Feasible Regions. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 623-637 (2021) - [j15]Jungchan Cho:
Synthetic Source Universal Domain Adaptation through Contrastive Learning. Sensors 21(22): 7539 (2021) - [c6]Kangmin Bae, Kimin Yun, Jungchan Cho, Yuseok Bae:
The Dataset and Baseline Models to Detect Human Postural States Robustly against Irregular Postures. AVSS 2021: 1-8 - [i2]Geonu Lee, Kimin Yun, Jungchan Cho:
Robust Pedestrian Attribute Recognition Using Group Sparsity for Occlusion Videos. CoRR abs/2110.08708 (2021) - 2020
- [j14]Kimin Yun, Jongyoul Park, Jungchan Cho:
Robust Human Pose Estimation for Rotation via Self-Supervised Learning. IEEE Access 8: 32502-32517 (2020) - [j13]Sora Kim, Youngjae Jo, Jungchan Cho, Jiwoo Song, Younyoung Lee, Minsik Lee:
Spatially Variant Convolutional Autoencoder Based on Patch Division for Pill Defect Detection. IEEE Access 8: 216781-216792 (2020) - [j12]Jungchan Cho, Hyoseok Hwang:
Spatio-Temporal Representation of an Electoencephalogram for Emotion Recognition Using a Three-Dimensional Convolutional Neural Network. Sensors 20(12): 3491 (2020)
2010 – 2019
- 2019
- [j11]Geonho Cha, Minsik Lee, Jungchan Cho, Songhwai Oh:
Deep pose consensus networks. Comput. Vis. Image Underst. 182: 64-70 (2019) - [j10]Jungchan Cho, Minsik Lee:
Building a Compact Convolutional Neural Network for Embedded Intelligent Sensor Systems Using Group Sparsity and Knowledge Distillation. Sensors 19(19): 4307 (2019) - 2018
- [j9]Geonho Cha, Minsik Lee, Jungchan Cho, Songhwai Oh:
Non-rigid surface recovery with a robust local-rigidity prior. Pattern Recognit. Lett. 110: 51-57 (2018) - [i1]Geonho Cha, Minsik Lee, Jungchan Cho, Songhwai Oh:
Deep Pose Consensus Networks. CoRR abs/1803.08190 (2018) - 2017
- [j8]Jungchan Cho, Minsik Lee, Songhwai Oh:
Single image 3D human pose estimation using a procrustean normal distribution mixture model and model transformation. Comput. Vis. Image Underst. 155: 150-161 (2017) - [j7]Minsik Lee, Jungchan Cho, Songhwai Oh:
Procrustean Normal Distribution for Non-Rigid Structure from Motion. IEEE Trans. Pattern Anal. Mach. Intell. 39(7): 1388-1400 (2017) - 2016
- [j6]Jungchan Cho, Minsik Lee, Songhwai Oh:
Complex Non-rigid 3D Shape Recovery Using a Procrustean Normal Distribution Mixture Model. Int. J. Comput. Vis. 117(3): 226-246 (2016) - [j5]Jungchan Cho, Inhwan Hwang, Songhwai Oh:
VibePhone: efficient surface recognition for smartphones using vibration. Pattern Anal. Appl. 19(1): 251-265 (2016) - [c5]Minsik Lee, Jungchan Cho, Songhwai Oh:
Consensus of Non-rigid Reconstructions. CVPR 2016: 4670-4678 - 2014
- [j4]Jungchan Cho, Minsik Lee, Hyung Jin Chang, Songhwai Oh:
Robust action recognition using local motion and group sparsity. Pattern Recognit. 47(5): 1813-1825 (2014) - [j3]Inhwan Hwang, Jungchan Cho, Songhwai Oh:
VibeComm: Radio-Free Wireless Communication for Smart Devices Using Vibration. Sensors 14(11): 21151-21173 (2014) - 2013
- [j2]Jungchan Cho, Minsik Lee, Chong-Ho Choi, Songhwai Oh:
EM-GPA: Generalized Procrustes analysis with hidden variables for 3D shape modeling. Comput. Vis. Image Underst. 117(11): 1549-1559 (2013) - [j1]Jiyong Oh, Sang-Il Choi, Chunghoon Kim, Jungchan Cho, Chong-Ho Choi:
Selective generation of Gabor features for fast face recognition on mobile devices. Pattern Recognit. Lett. 34(13): 1540-1547 (2013) - [c4]Hyung Jin Chang, Jiyun Kim, Jungchan Cho, Songhwai Oh, Kwang Moo Yi, Jin Young Choi:
Action Chart: A Representation for Efficient Recognition of Complex Activity. BMVC 2013 - [c3]Minsik Lee, Jungchan Cho, Chong-Ho Choi, Songhwai Oh:
Procrustean Normal Distribution for Non-rigid Structure from Motion. CVPR 2013: 1280-1287 - 2012
- [c2]Inhwan Hwang, Jungchan Cho, Songhwai Oh:
Privacy-Aware Communication for Smartphones Using Vibration. RTCSA 2012: 447-452 - [c1]Jungchan Cho, Inhwan Hwang, Songhwai Oh:
Vibration-Based Surface Recognition for Smartphones. RTCSA 2012: 459-464
Coauthor Index
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