Seong-Gyun Jeong

According to our database, Seong-Gyun Jeong authored at least 23 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Joint Appearance and Motion Model With Temporal Transformer for Multiple Object Tracking.

Hyunseop Kim, Hyo-Jun Lee, Hanul Kim, Seong-Gyun Jeong, Yeong Jun Koh

IEEE Access, 2023

SpeedFormer: Learning Speed Profiles with Upper and Lower Boundary Constraints Based on Transformer.

Kyuhwan Yeon, Hayoung Kim, Seong-Gyun Jeong

IROS, 2023

SlaBins: Fisheye Depth Estimation using Slanted Bins on Road Environments.

Jongsung Lee, Gyeongsu Cho, Jeongin Park, Kyongjun Kim, Seongoh Lee, Jung-Hee Kim, Seong-Gyun Jeong, Kyungdon Joo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BAAM: Monocular 3D pose and shape reconstruction with bi-contextual attention module and attention-guided modeling.

Hyo-Jun Lee, Hanul Kim, Su-Min Choi, Seong-Gyun Jeong, Yeong Jun Koh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Self-supervised surround-view depth estimation with volumetric feature fusion.

Jung-Hee Kim, Junhwa Hur, Tien Phuoc Nguyen, Seong-Gyun Jeong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes.

Dongkwon Jin, Wonhui Park, Seong-Gyun Jeong, Heeyeon Kwon, Chang-Su Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Harmonious Semantic Line Detection via Maximal Weight Clique Selection.

Dongkwon Jin, Wonhui Park, Seong-Gyun Jeong, Chang-Su Kim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019

Delegated Adversarial Training for Unsupervised Domain Adaptation.

Dongwan Kim, Seungmin Lee, Namil Kim, Seong-Gyun Jeong

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Anchor Loss: Modulating Loss Scale Based on Prediction Difficulty.

Serim Ryou, Seong-Gyun Jeong, Pietro Perona

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation.

Seungmin Lee, Dongwan Kim, Namil Kim, Seong-Gyun Jeong

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Instance-Level Future Motion Estimation in a Single Image Based on Ordinal Regression.

Kyung-Rae Kim, Whan Choi, Yeong Jun Koh, Seong-Gyun Jeong, Chang-Su Kim

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates.

Jérôme Revaud, Minhyeok Heo, Rafael S. Rezende, Chanmi You, Seong-Gyun Jeong

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

End-to-end learning of image based lane-change decision.

Seong-Gyun Jeong, Jiwon Kim, Sujung Kim, Jaesik Min

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

2016

Progressive Tree-like Curvilinear Structure Reconstruction with Structured Ranking Learning and Graph Algorithm.

Seong-Gyun Jeong, Yuliya Tarabalka, Nicolas Nisse, Josiane Zerubia

CoRR, 2016

2015

Curvilinear structure modeling and its applications in computer vision. (Modélisation de structures curvilignes et ses applications en vision par ordinateur).

Seong-Gyun Jeong

PhD thesis, 2015

Stochastic model for curvilinear structure reconstruction using morphological profiles.

Seong-Gyun Jeong, Yuliya Tarabalka, Josiane Zerubia

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

Marked point process model for facial wrinkle detection.

Seong-Gyun Jeong, Yuliya Tarabalka, Josiane Zerubia

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Marked Point Process Model for Curvilinear Structures Extraction.

Seong-Gyun Jeong, Yuliya Tarabalka, Josiane Zerubia

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

2013

Motion-Compensated Frame Interpolation Based on Multihypothesis Motion Estimation and Texture Optimization.

Seong-Gyun Jeong, Chul Lee, Chang-Su Kim

IEEE Trans. Image Process., 2013

2012

Exemplar-based frame rate up-conversion with congruent segmentation.

Seong-Gyun Jeong, Chul Lee, Chang-Su Kim

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Real-time acquisition and representation of 3D environmental data.

Se-Ho Lee, Seong-Gyun Jeong, Taeyoung Chung, Chang-Su Kim

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

2011

Content-aware image and video resizing based on frequency domain analysis.

Jun-Seong Kim, Seong-Gyun Jeong, Younghun Joo, Chang-Su Kim

IEEE Trans. Consumer Electron., 2011

Feature-preserving thumbnail generation based on graph cuts.

Seong-Gyun Jeong, Chang-Su Kim

Proceedings of the 18th IEEE International Conference on Image Processing, 2011