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Supervised Contrastive Learning on Blended Images for Long-tailed Recognition


Nov 22, 2022
Minki Jeong, Changick Kim

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


Jul 16, 2022
Minki Jeong, Wanyeong Jung

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* 14 pages, 22 figures 

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


Jan 25, 2022
Sangmin Woo, Jinyoung Park, Inyong Koo, Sumin Lee, Minki Jeong, Changick Kim

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Improving Few-shot Learning with Weakly-supervised Object Localization


May 25, 2021
Inyong Koo, Minki Jeong, Changick Kim

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* 5 pages, 4 figures 

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Few-shot Open-set Recognition by Transformation Consistency


Mar 02, 2021
Minki Jeong, Seokeon Choi, Changick Kim

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Meta Batch-Instance Normalization for Generalizable Person Re-Identification


Nov 30, 2020
Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, Changick Kim

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Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation


Aug 01, 2019
Jaehoon Choi, Minki Jeong, Taekyung Kim, Changick Kim

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* Accepted to British Machine Vision Conference (BMVC) 2019 

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


May 14, 2019
Taekyung Kim, Minki Jeong, Seunghyeon Kim, Seokeon Choi, Changick Kim

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* Accepted to CVPR 2019. Source code will be uploaded soon 

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


Oct 27, 2017
Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor 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 Haene, 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 Funkhouser, Hao Su, Leonidas Guibas

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