MyeongAh Cho

MyeongAh Cho

Assistant Professor of
Software Convergence

KyungHee University

Biography

I am an assistant professor at the Department of Software Convergence, KyungHee University, Republic of Korea. Before joining KyungHee University, I was a research intern at Naver Cloud (CLOVA). I received the M.S. and Ph.D. degrees in the Image and Video Pattern Recognition Lab., School of Electrical and Electronic Engineering at Yonsei University, Korea, in 2023, and a B.S. degree in the School of Electronic Engineering at KyungHee University, Korea, in 2018, respectively. My research interests include Computer Vision, Computational Photography, Machine Learning, and Deep Learning–from processing images and videos to applying and analyzing them with pattern recognition. Particularly, I focus on visual (image/video) representation learning with various models, datasets, and supervisions. Recently, my research topics are video anomaly detection, face recognition, and 3D scene reconstruction.

Interests
  • Computer Vision
  • Deep Learning
  • Image/Video Processing
Education
  • M.S./ Ph.D. in Electrical and Electronic Engineering, 2023

    Yonsei University

  • B.S. in Electronic Engineering, 2018

    KyungHee University

Projects

Road Conditions and Autonomous Bus AI Data
 Object Detection, Crack Segmentation
Road Conditions and Autonomous Bus AI Data
Emotional Intelligence Technology to Infer Human Emotion and Carry on Dialogue
 Face Recognition, Face Detection, Model Compression
Emotional Intelligence Technology to Infer Human Emotion and Carry on Dialogue

Publications

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(2023). Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning. In CVPR 23.

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(2023). LiDAR Depth Completion for Boosting 3D Object Detection via a Confidence Map. Under-review.

(2023). Treating Motion as Option with Output Selection for Unsupervised Video Object Segmentation. Under-review.

(2022). Frame-to-frame visual odometry estimation network with error relaxation method. IEEE Access (IF: 3.48).

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(2022). Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss. In ICIP 22.

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(2022). SSAT: Self-Supervised Associating Network for Multiobject Tracking. IEEE TCSVT (IF: 5.86).

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(2022). Occluded Person Re-Identification Via Relational Adaptive Feature Correction Learning. In ICASSP 22.

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(2022). Unsupervised video anomaly detection via normalizing flows with implicit latent features. ELSEVIER Pattern Recognition (IF: 8.52).

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(2022). FastAno: Fast Anomaly Detection via Spatio-Temporal Patch Transformation. In WACV 22.

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(2021). Relational Deep Feature Learning for Heterogeneous Face Recognition. IEEE TIFS (IF: 7.18).

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(2020). Crvos: Clue Refining Network For Video Object Segmentation. In ICIP 20.

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(2020). Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition. In ECCV 2020 Workshops.

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(2019). N-RPN: Hard Example Learning For Region Proposal Networks. In ICIP 23.

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Patents

  1. Object Tracking Apparatus and Method using Self‐Attention (2021)
    KR-Registration, No.10-2359982
  2. Apparatus and Method for Recognizing Heterogeneous Face Based on Relationship Between Component (2022)
    KR-Registration No.10-2356438
  3. Apparatus and Method for Tracking Pedestrians in Multiple CCTV Environment (2022)
    KR-Registration, No.10-2355006
  4. Apparatus And Method For Tracking Pedestrians In CCTV Environment (2023)
    KR-Registration, No.10-2519367
  5. Object Tracking Method and Feature Vector Extraction Method for Tracking Object (2021)
    KR-Application, No.10-2021-0165002
  6. Apparatus and Method for Detecting Anomalous Event (2020)
    KR-Application, No.10-2020-0153560
  7. Video Anomaly Detection Apparatus and Method using Relational Embedding (2022)
    KR-Application, No.10-2022-0156968

Experiences

 
 
 
 
 
Research Intern
Naver Cloud (CLOVA)
Research Intern
February 2023 – August 2023 Video team
 
 
 
 
 
Research Scholarship
Hyundai Motor Company
Research Scholarship
June 2019 – August 2023 Robotics Lab.
 
 
 
 
 
Research Scholarship
Global Ph.D. Fellowship
Research Scholarship
March 2019 – August 2023 National Research Foundation of Korea (NRF)
“Anomaly Detection System with Relation Embedding and Contextual Understanding in Surveillance Videos” (Funding KRW 150 million for 5 years)
 
 
 
 
 
Research Intern
ETRI
Research Intern
June 2017 – August 2017 Intelligent Convergence Research Lab.
 
 
 
 
 
Exchange Student
Linkoping University
Exchange Student
September 2016 – February 2017 Dept. of Electrical Engineering
 
 
 
 
 
Undergraduate Intern
Kyung Hee University
Undergraduate Intern
March 2017 – February 2018 Media Lab.
Development of Improving Method for Virtual View Synthesis Technology

Awards

1st Visual Inductive Priors for Data‐Efficient Deep Learning Challenge
Action recognition on UFC-101

Contact

I am always looking for talented and motivated collaborators (graduate students, postdocs, and undergraduate interns). If you’re interested in joining our lab or collaborating, please email me.