Taeoh Kim

Orcid: 0000-0001-7252-5525

According to our database1, Taeoh Kim authored at least 29 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A Nonlinear, Regularized, and Data-independent Modulation for Continuously Interactive Image Processing Network.
Int. J. Comput. Vis., January, 2024

A Simple Baseline with Single-encoder for Referring Image Segmentation.
CoRR, 2024

Classification Matters: Improving Video Action Detection with Class-Specific Attention.
CoRR, 2024

2023
Masked Autoencoder for Unsupervised Video Summarization.
CoRR, 2023

Exploring Temporally Dynamic Data Augmentation for Video Recognition.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Decomposed Cross-Modal Distillation for RGB-based Temporal Action Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Frequency Selective Augmentation for Video Representation Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Enhanced Standard Compatible Image Compression Framework Based on Auxiliary Codec Networks.
IEEE Trans. Image Process., 2022

Geometry-Aware Deep Video Deblurring via Recurrent Feature Refinement.
IEEE Trans. Image Process., 2022

Unsupervised video anomaly detection via normalizing flows with implicit latent features.
Pattern Recognit., 2022

Spatiotemporal Augmentation on Selective Frequencies for Video Representation Learning.
CoRR, 2022

2021
Relational Deep Feature Learning for Heterogeneous Face Recognition.
IEEE Trans. Inf. Forensics Secur., 2021

Short-term photovoltaic power generation predicting by input/output structure of weather forecast using deep learning.
Soft Comput., 2021

Block-Attentive Subpixel Prediction Networks for Computationally Efficient Image Restoration.
IEEE Access, 2021

Test-Time Adaptation for Out-Of-Distributed Image Inpainting.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Wi-Fi Backscatter System with Tag Sensors Using Multi-Antennas for Increased Data Rate and Reliability.
Sensors, 2020

Unsupervised Video Anomaly Detection via Flow-based Generative Modeling on Appearance and Motion Latent Features.
CoRR, 2020

Smoother Network Tuning and Interpolation for Continuous-level Image Processing.
CoRR, 2020

Regularized Adaptation for Stable and Efficient Continuous-Level Learning on Image Processing Networks.
CoRR, 2020

Relational Deep Feature Learning for Heterogeneous Face Recognition.
CoRR, 2020

Extrapolative-Interpolative Cycle-Consistency Learning For Video Frame Extrapolation.
Proceedings of the IEEE International Conference on Image Processing, 2020


Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Learning Spatial Transform for Video Frame Interpolation.
CoRR, 2019

Sampling Operator to Learn the Scalable Correlation Filter for Visual Tracking.
IEEE Access, 2019

SF-CNN: A Fast Compression Artifacts Removal via Spatial-To-Frequency Convolutional Neural Networks.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

NIR-to-VIS Face Recognition via Embedding Relations and Coordinates of the Pairwise Features.
Proceedings of the 2019 International Conference on Biometrics, 2019

2018
Collabonet: Collaboration of Generative Models by Unsupervised Classification.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018


  Loading...