Sangmin Lee

Orcid: 0000-0002-8606-2549

Affiliations:
  • Korea Advanced Institute of Science and Technology (KAIST), School of Electrical Engineering, Image and Video Systems Lab, Daejeon, South Korea


According to our database1, Sangmin Lee authored at least 27 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Text-guided distillation learning to diversify video embeddings for text-video retrieval.
Pattern Recognit., 2024

Learning to Visually Localize Sound Sources from Mixtures without Prior Source Knowledge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022
Assessing Individual VR Sickness Through Deep Feature Fusion of VR Video and Physiological Response.
IEEE Trans. Circuits Syst. Video Technol., 2022

On-the-Fly Facial Expression Prediction Using LSTM Encoded Appearance-Suppressed Dynamics.
IEEE Trans. Affect. Comput., 2022

IVIST: Interactive Video Search Tool in VBS 2022.
Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

Audio-Visual Mismatch-Aware Video Retrieval via Association and Adjustment.
Proceedings of the Computer Vision - ECCV 2022, 2022

Weakly Paired Associative Learning for Sound and Image Representations via Bimodal Associative Memory.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Robust Video Frame Interpolation With Exceptional Motion Map.
IEEE Trans. Circuits Syst. Video Technol., 2021

CUA Loss: Class Uncertainty-Aware Gradient Modulation for Robust Object Detection.
IEEE Trans. Circuits Syst. Video Technol., 2021

Video Prediction Recalling Long-Term Motion Context via Memory Alignment Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
BMAN: Bidirectional Multi-Scale Aggregation Networks for Abnormal Event Detection.
IEEE Trans. Image Process., 2020

Estimating VR Sickness Caused By Camera Shake in VR Videography.
Proceedings of the IEEE International Conference on Image Processing, 2020

Robust Video Facial Authentication With Unsupervised Mode Disentanglement.
Proceedings of the IEEE International Conference on Image Processing, 2020

Class Incremental Learning With Task-Selection.
Proceedings of the IEEE International Conference on Image Processing, 2020

Learning Style Correlation for Elaborate Few-Shot Classification.
Proceedings of the IEEE International Conference on Image Processing, 2020

Comprehensive Facial Expression Synthesis Using Human-Interpretable Language.
Proceedings of the IEEE International Conference on Image Processing, 2020

Fake Video Detection With Certainty-Based Attention Network.
Proceedings of the IEEE International Conference on Image Processing, 2020

Video Frame Interpolation Via Exceptional Motion-Aware Synthesis.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

SACA Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-Based Symptom Relation Embedding.
Proceedings of the Computer Vision - ECCV 2020, 2020

Structure Boundary Preserving Segmentation for Medical Image With Ambiguous Boundary.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
VRSA Net: VR Sickness Assessment Considering Exceptional Motion for 360° VR Video.
IEEE Trans. Image Process., 2019

Physiological Fusion Net: Quantifying Individual VR Sickness with Content Stimulus and Physiological Response.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Deep Objective Assessment Model Based on Spatio-Temporal Perception of 360-Degree Video for VR Sickness Prediction.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Stan: Spatio- Temporal Adversarial Networks for Abnormal Event Detection.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Dynamics Transfer GAN: Generating Video by Transferring Arbitrary Temporal Dynamics from a Source Video to a Single Target Image.
CoRR, 2017


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