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2020 – today
- 2024
[c11]Minki Jeong, Wanyeong Jung:
MAC-DO: DRAM-Based Multi-Bit Analog Accelerator Using Output Stationary. ISCAS 2024: 1-5- 2023
- [c10]Taekyung Kim, Debasmit Das, Seokeon Choi, Minki Jeong, Seunghan Yang, Sungrack Yun, Changick Kim:
Neural Transformation Network to Generate Diverse Views for Contrastive Learning. CVPR Workshops 2023: 4901-4911 - 2022
- [i9]Sangmin Woo, Jinyoung Park, Inyong Koo, Sumin Lee, Minki Jeong, Changick Kim:
Explore and Match: End-to-End Video Grounding with Transformer. CoRR abs/2201.10168 (2022) - [i8]Minki Jeong, Wanyeong Jung:
MAC-DO: Charge Based Multi-Bit Analog In-Memory Accelerator Compatible with DRAM Using Output Stationary Mapping. CoRR abs/2207.07862 (2022) - [i7]Minki Jeong, Changick Kim:
Supervised Contrastive Learning on Blended Images for Long-tailed Recognition. CoRR abs/2211.11938 (2022) - 2021
- [c9]Seokeon Choi, Taekyung Kim
, Minki Jeong, Hyoungseob Park, Changick Kim:
Meta Batch-Instance Normalization for Generalizable Person Re-Identification. CVPR 2021: 3425-3435 - [c8]Minki Jeong, Seokeon Choi, Changick Kim:
Few-Shot Open-Set Recognition by Transformation Consistency. CVPR 2021: 12566-12575 - [c7]Minki Jeong, Changick Kim:
A Parameter Efficient Multi-Scale Capsule Network. ICIP 2021: 739-743 - [i6]Minki Jeong, Seokeon Choi, Changick Kim:
Few-shot Open-set Recognition by Transformation Consistency. CoRR abs/2103.01537 (2021) - [i5]Inyong Koo, Minki Jeong, Changick Kim:
Improving Few-shot Learning with Weakly-supervised Object Localization. CoRR abs/2105.11715 (2021) - 2020
- [c6]Hyoungseob Park, Minki Jeong, Youngeun Kim, Changick Kim:
Self-Training Of Graph Neural Networks Using Similarity Reference For Robust Training With Noisy Labels. ICIP 2020: 1951-1955 - [i4]Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, Changick Kim:
Meta Batch-Instance Normalization for Generalizable Person Re-Identification. CoRR abs/2011.14670 (2020)
2010 – 2019
- 2019
- [c5]Jaehoon Choi, Minki Jeong, Taekyung Kim, Changick Kim:
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation. BMVC 2019: 67 - [c4]Taekyung Kim, Minki Jeong, Seunghyeon Kim, Seokeon Choi, Changick Kim:
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection. CVPR 2019: 12456-12465 - [i3]Taekyung Kim, Minki Jeong, Seunghyeon Kim, Seokeon Choi, Changick Kim:
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection. CoRR abs/1905.05396 (2019) - [i2]Jaehoon Choi, Minki Jeong, Taekyung Kim, Changick Kim:
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation. CoRR abs/1908.00262 (2019) - 2018
- [c3]Ji Won Lee, Do-Won Nam, Won-Young Yoo, Yoonhyung Kim, Minki Jeong, Changick Kim:
Soccer object motion recognition based on 3D convolutional neural networks. FedCSIS (Communication Papers) 2018: 129-134 - [c2]Ji Won Lee, Yoonhyung Kim, Minki Jeong, Changick Kim, Do-Won Nam, Jungsoo Lee, Sung-Won Moon, Wonyoung Yoo:
3D convolutional neural networks for soccer object motion recognition. ICACT 2018: 354-358 - [c1]Minki Jeong, Changick Kim:
Effect of Using Object Shape Prior on Visual Object Counting. VCIP 2018: 1-4 - 2017
- [i1]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:
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55. CoRR abs/1710.06104 (2017)
Coauthor Index
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