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2020 – today
- 2024
[i7]Jintae Kim, Seungwon Yang, Seong-Gyun Jeong, Chang-Su Kim:
Forbes: Face Obfuscation Rendering via Backpropagation Refinement Scheme. CoRR abs/2407.14170 (2024)- 2023
- [j3]Hyunseop Kim, Hyo-Jun Lee, Hanul Kim, Seong-Gyun Jeong, Yeong Jun Koh
:
Joint Appearance and Motion Model With Temporal Transformer for Multiple Object Tracking. IEEE Access 11: 133792-133803 (2023) - [c18]Hyo-Jun Lee, Hanul Kim, Su-Min Choi, Seong-Gyun Jeong, Yeong Jun Koh:
BAAM: Monocular 3D pose and shape reconstruction with bi-contextual attention module and attention-guided modeling. CVPR 2023: 9011-9020 - [c17]Jongsung Lee, Gyeongsu Cho, Jeongin Park, Kyongjun Kim, Seongoh Lee, Jung-Hee Kim, Seong-Gyun Jeong, Kyungdon Joo:
SlaBins: Fisheye Depth Estimation using Slanted Bins on Road Environments. ICCV 2023: 8731-8740 - [c16]Kyuhwan Yeon, Hayoung Kim, Seong-Gyun Jeong:
SpeedFormer: Learning Speed Profiles with Upper and Lower Boundary Constraints Based on Transformer. IROS 2023: 11336-11341 - 2022
- [c15]Dongkwon Jin, Wonhui Park, Seong-Gyun Jeong, Heeyeon Kwon, Chang-Su Kim:
Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes. CVPR 2022: 17142-17150 - [c14]Jung-Hee Kim, Junhwa Hur, Tien Phuoc Nguyen, Seong-Gyun Jeong:
Self-supervised surround-view depth estimation with volumetric feature fusion. NeurIPS 2022 - [i6]Dongkwon Jin, Wonhui Park, Seong-Gyun Jeong, Heeyeon Kwon, Chang-Su Kim:
Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes. CoRR abs/2203.15302 (2022) - 2021
- [c13]Dongkwon Jin, Wonhui Park, Seong-Gyun Jeong, Chang-Su Kim:
Harmonious Semantic Line Detection via Maximal Weight Clique Selection. CVPR 2021: 16737-16745 - [i5]Dongkwon Jin, Wonhui Park, Seong-Gyun Jeong, Chang-Su Kim:
Harmonious Semantic Line Detection via Maximal Weight Clique Selection. CoRR abs/2104.06903 (2021)
2010 – 2019
- 2019
- [c12]Jérôme Revaud, Minhyeok Heo, Rafael S. Rezende, Chanmi You, Seong-Gyun Jeong:
Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates. CVPR 2019: 4086-4095 - [c11]Seungmin Lee, Dongwan Kim, Namil Kim, Seong-Gyun Jeong:
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation. ICCV 2019: 91-100 - [c10]Kyung-Rae Kim, Whan Choi, Yeong Jun Koh, Seong-Gyun Jeong, Chang-Su Kim:
Instance-Level Future Motion Estimation in a Single Image Based on Ordinal Regression. ICCV 2019: 273-282 - [c9]Serim Ryou, Seong-Gyun Jeong, Pietro Perona:
Anchor Loss: Modulating Loss Scale Based on Prediction Difficulty. ICCV 2019: 5991-6000 - [c8]Dongwan Kim, Seungmin Lee, Namil Kim, Seong-Gyun Jeong:
Delegated Adversarial Training for Unsupervised Domain Adaptation. ICIP 2019: 2521-2525 - [i4]Serim Ryou, Seong-Gyun Jeong, Pietro Perona:
Anchor Loss: Modulating Loss Scale based on Prediction Difficulty. CoRR abs/1909.11155 (2019) - [i3]Seungmin Lee, Dongwan Kim, Namil Kim, Seong-Gyun Jeong:
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation. CoRR abs/1910.05562 (2019) - 2017
- [c7]Seong-Gyun Jeong, Jiwon Kim, Sujung Kim, Jaesik Min:
End-to-end learning of image based lane-change decision. Intelligent Vehicles Symposium 2017: 1602-1607 - [i2]Seong-Gyun Jeong, Jiwon Kim, Sujung Kim, Jaesik Min:
End-to-end Learning of Image based Lane-Change Decision. CoRR abs/1706.08211 (2017) - 2016
- [i1]Seong-Gyun Jeong, Yuliya Tarabalka, Nicolas Nisse, Josiane Zerubia:
Progressive Tree-like Curvilinear Structure Reconstruction with Structured Ranking Learning and Graph Algorithm. CoRR abs/1612.02631 (2016) - 2015
- [b1]Seong-Gyun Jeong:
Curvilinear structure modeling and its applications in computer vision. (Modélisation de structures curvilignes et ses applications en vision par ordinateur). University of Nice Sophia Antipolis, France, 2015 - [c6]Seong-Gyun Jeong, Yuliya Tarabalka, Josiane Zerubia:
Stochastic model for curvilinear structure reconstruction using morphological profiles. ICIP 2015: 3575-3579 - 2014
- [c5]Seong-Gyun Jeong, Yuliya Tarabalka, Josiane Zerubia:
Marked Point Process Model for Curvilinear Structures Extraction. EMMCVPR 2014: 436-449 - [c4]Seong-Gyun Jeong, Yuliya Tarabalka, Josiane Zerubia:
Marked point process model for facial wrinkle detection. ICIP 2014: 1391-1394 - 2013
- [j2]Seong-Gyun Jeong, Chul Lee, Chang-Su Kim:
Motion-Compensated Frame Interpolation Based on Multihypothesis Motion Estimation and Texture Optimization. IEEE Trans. Image Process. 22(11): 4497-4509 (2013) - 2012
- [c3]Se-Ho Lee, Seong-Gyun Jeong, Taeyoung Chung, Chang-Su Kim:
Real-time acquisition and representation of 3D environmental data. APSIPA 2012: 1-5 - [c2]Seong-Gyun Jeong, Chul Lee, Chang-Su Kim:
Exemplar-based frame rate up-conversion with congruent segmentation. ICIP 2012: 845-848 - 2011
- [j1]Jun-Seong Kim, Seong-Gyun Jeong, Younghun Joo, Chang-Su Kim:
Content-aware image and video resizing based on frequency domain analysis. IEEE Trans. Consumer Electron. 57(2): 615-622 (2011) - [c1]Seong-Gyun Jeong, Chang-Su Kim:
Feature-preserving thumbnail generation based on graph cuts. ICIP 2011: 1081-1084
Coauthor Index
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