Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55. - Li Yi 001; Lin Shao 002; Manolis Savva; Haibin Huang; Yang Zhou 009; Qirui Wang; Benjamin Graham; Martin Engelcke; Roman Klokov; Victor S. Lempitsky; Yuan Gan; Pengyu Wang 004; et al. (CoRR, 2017)

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 (FedCSIS (Communication Papers), 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 (ICACT, 2018)

Effect of Using Object Shape Prior on Visual Object Counting. - Minki Jeong; Changick Kim (VCIP, 2018)

Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation. - Jaehoon Choi; Minki Jeong; Taekyung Kim 002; Changick Kim (BMVC, 2019)

Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection. - Taekyung Kim 002; Minki Jeong; Seunghyeon Kim; Seokeon Choi; Changick Kim (CVPR, 2019)

Self-Training Of Graph Neural Networks Using Similarity Reference For Robust Training With Noisy Labels. - Hyoungseob Park; Minki Jeong; Youngeun Kim; Changick Kim (ICIP, 2020)

Meta Batch-Instance Normalization for Generalizable Person Re-Identification. - Seokeon Choi; Taekyung Kim 002; Minki Jeong; Hyoungseob Park; Changick Kim (CVPR, 2021)

Few-Shot Open-Set Recognition by Transformation Consistency. - Minki Jeong; Seokeon Choi; Changick Kim (CVPR, 2021)

A Parameter Efficient Multi-Scale Capsule Network. - Minki Jeong; Changick Kim (ICIP, 2021)

Improving Few-shot Learning with Weakly-supervised Object Localization. - Inyong Koo; Minki Jeong; Changick Kim (CoRR, 2021)

Explore and Match: End-to-End Video Grounding with Transformer. - Sangmin Woo; Jinyoung Park 001; Inyong Koo; Sumin Lee; 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)

Supervised Contrastive Learning on Blended Images for Long-tailed Recognition. - Minki Jeong; Changick Kim (CoRR, 2022)

Neural Transformation Network to Generate Diverse Views for Contrastive Learning. - Taekyung Kim 002; Debasmit Das; Seokeon Choi; Minki Jeong; Seunghan Yang; Sungrack Yun; Changick Kim (CVPR Workshops, 2023)

MAC-DO: DRAM-Based Multi-Bit Analog Accelerator Using Output Stationary. - Minki Jeong; Wanyeong Jung (ISCAS, 2024)