Minki Jeong

According to our database, Minki Jeong authored at least 15 papers between 2017 and 2023.

Collaborative distances:

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

2023

Neural Transformation Network to Generate Diverse Views for Contrastive Learning.

Taekyung Kim, Debasmit Das, Seokeon Choi, Minki Jeong, Seunghan Yang, Sungrack Yun, Changick Kim

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

2022

Supervised Contrastive Learning on Blended Images for Long-tailed Recognition.

Minki Jeong, Changick Kim

CoRR, 2022

MAC-DO: Charge Based Multi-Bit Analog In-Memory Accelerator Compatible with DRAM Using Output Stationary Mapping.

Minki Jeong, Wanyeong Jung

CoRR, 2022

Explore and Match: End-to-End Video Grounding with Transformer.

Sangmin Woo, Jinyoung Park, Inyong Koo, Sumin Lee, Minki Jeong, Changick Kim

CoRR, 2022

2021

Improving Few-shot Learning with Weakly-supervised Object Localization.

Inyong Koo, Minki Jeong, Changick Kim

CoRR, 2021

A Parameter Efficient Multi-Scale Capsule Network.

Minki Jeong, Changick Kim

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Few-Shot Open-Set Recognition by Transformation Consistency.

Minki Jeong, Seokeon Choi, Changick Kim

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

Meta Batch-Instance Normalization for Generalizable Person Re-Identification.

Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, Changick Kim

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

2020

Self-Training Of Graph Neural Networks Using Similarity Reference For Robust Training With Noisy Labels.

Hyoungseob Park, Minki Jeong, Youngeun Kim, Changick Kim

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection.

Taekyung Kim, Minki Jeong, Seunghyeon Kim, Seokeon Choi, Changick Kim

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

Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation.

Jaehoon Choi, Minki Jeong, Taekyung Kim, Changick Kim

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Effect of Using Object Shape Prior on Visual Object Counting.

Minki Jeong, Changick Kim

Proceedings of the IEEE Visual Communications and Image Processing, 2018

3D convolutional neural networks for soccer object motion recognition.

Ji Won Lee, Yoonhyung Kim, Minki Jeong, Changick Kim, Do-Won Nam, Jungsoo Lee, Sung-Won Moon, Wonyoung Yoo

Proceedings of the 20th International Conference on Advanced Communication Technology, 2018

Soccer object motion recognition based on 3D convolutional neural networks.

Ji Won Lee, Do-Won Nam, Won-Young Yoo, Yoonhyung Kim, Minki Jeong, Changick Kim

Proceedings of the Communication Papers of the 2018 Federated Conference on Computer Science and Information Systems, 2018

2017

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55.

Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor S. Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M. Ramanathan, Gautam Kumar, P. Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Christian Häne, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qixing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas A. Funkhouser, Hao Su, Leonidas J. Guibas

CoRR, 2017