Yi-Hsin Chen

According to our database1, Yi-Hsin Chen authored at least 24 papers between 1986 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Content-Adaptive Motion Rate Adaption for Learned Video Compression.
CoRR, 2023

Rate Adaptation for Learned Two-layer B-frame Coding without Signaling Motion Information.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

Learning-Based Scalable Video Coding with Spatial and Temporal Prediction.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

Continually-Adapted Margin and Multi-Anchor Distillation for Class-Incremental Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Transformer-Based Variable-Rate Image Compression with Region-of-Interest Control.
Proceedings of the IEEE International Conference on Image Processing, 2023

TransTIC: Transferring Transformer-based Image Compression from Human Perception to Machine Perception.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Transformer-based Image Compression with Variable Image Quality Objectives.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022
B-CANF: Adaptive B-frame Coding with Conditional Augmented Normalizing Flows.
CoRR, 2022

Content-Adaptive Motion Rate Adaption For Learned Video Compression.
Proceedings of the Picture Coding Symposium, 2022

ConTextING: Granting Document-Wise Contextual Embeddings to Graph Neural Networks for Inductive Text Classification.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
LiBRA: A Linguistic Bipolar Disorder Recognition Approach.
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021

Enhance Face Recognition Using Time-series Face Images.
Proceedings of the IEEE International Conference on Consumer Electronics-Taiwan, 2021

Video Rescaling Networks With Joint Optimization Strategies for Downscaling and Upscaling.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
ANOVA_robust: A SAS Macro for Parametric Tests of Mean Differences in One-Factor ANOVA Models.
J. Stat. Softw., 2020

Class-Incremental Learning with Rectified Feature-Graph Preservation.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Clouds Classification from Sentinel-2 Imagery with Deep Residual Learning and Semantic Image Segmentation.
Remote. Sens., 2019

EmotionX-IDEA: Emotion BERT - an Affectional Model for Conversation.
CoRR, 2019

Leveraging Linguistic Characteristics for Bipolar Disorder Recognition with Gender Differences.
CoRR, 2019

2017
No More Discrimination: Cross City Adaptation of Road Scene Segmenters.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2015
Supporting the annual international black-faced spoonbill census with a low-cost unmanned aerial vehicle.
Ecol. Informatics, 2015

1987
PANDA: Processing Algorithm for Noncoded Document Acquisition.
IBM J. Res. Dev., 1987

1986
A binary representation of mixed documents (text/Graphic/Image) that compresses.
Proceedings of the IEEE International Conference on Acoustics, 1986


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