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2020 – today
- 2024
[j5]Mu-Jung Chen
, Yi-Hsin Chen, Wen-Hsiao Peng:
B-CANF: Adaptive B-Frame Coding With Conditional Augmented Normalizing Flows. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2908-2921 (2024)- [c17]Yi-Hsin Chen, Kuan-Wei Ho, Shiau-Rung Tsai, Guan-Hsun Lin, Alessandro Gnutti, Wen-Hsiao Peng, Riccardo Leonardi:
Transformer-Based Learned Image Compression for Joint Decoding and Denoising. PCS 2024: 1-5 - [i10]Chia-Hao Kao, Cheng Chien, Yu-Jen Tseng, Yi-Hsin Chen, Alessandro Gnutti, Shao-Yuan Lo, Wen-Hsiao Peng, Riccardo Leonardi:
ComNeck: Bridging Compressed Image Latents and Multimodal LLMs via Universal Transform-Neck. CoRR abs/2407.19651 (2024) - 2023
- [c16]Chia-Hao Kao, Yi-Hsin Chen, Cheng Chien, Wei-Chen Chiu, Wen-Hsiao Peng:
Transformer-based Image Compression with Variable Image Quality Objectives. APSIPA ASC 2023: 1718-1725 - [c15]Yi-Hsin Chen, Si-Cun Chen, Yi-Hsin Chen, Yen-Yu Lin, Wen-Hsiao Peng:
MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution. ICCV 2023: 23074-23084 - [c14]Yi-Hsin Chen, Si-Cun Chen, Yi-Hsin Chen, Yen-Yu Lin, Wen-Hsiao Peng:
MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution. ICCV 2023: 23074-23084 - [c13]Yi-Hsin Chen, Ying-Chieh Weng, Chia-Hao Kao, Cheng Chien, Wei-Chen Chiu, Wen-Hsiao Peng:
TransTIC: Transferring Transformer-based Image Compression from Human Perception to Machine Perception. ICCV 2023: 23240-23250 - [c12]Chia-Hao Kao, Ying-Chieh Weng, Yi-Hsin Chen, Wei-Chen Chiu, Wen-Hsiao Peng:
Transformer-Based Variable-Rate Image Compression with Region-of-Interest Control. ICIP 2023: 2960-2964 - [c11]Yi-Hsin Chen, Dian-Shan Chen, Ying-Chieh Weng, Wen-Hsiao Peng, Wei-Chen Chiu:
Continually-Adapted Margin and Multi-Anchor Distillation for Class-Incremental Learning. SMC 2023: 920-927 - [c10]Martin Benjak, Yi-Hsin Chen, Wen-Hsiao Peng, Jörn Ostermann:
Learning-Based Scalable Video Coding with Spatial and Temporal Prediction. VCIP 2023: 1-5 - [c9]Hong-Sheng Xie, Yi-Hsin Chen, Wen-Hsiao Peng, Martin Benjak, Jörn Ostermann:
Rate Adaptation for Learned Two-layer B-frame Coding without Signaling Motion Information. VCIP 2023: 1-5 - [i9]Chih-Hsuan Lin, Yi-Hsin Chen, Wen-Hsiao Peng:
Content-Adaptive Motion Rate Adaption for Learned Video Compression. CoRR abs/2302.06293 (2023) - [i8]Chia-Hao Kao, Ying-Chieh Weng, Yi-Hsin Chen, Wei-Chen Chiu, Wen-Hsiao Peng:
Transformer-based Variable-rate Image Compression with Region-of-interest Control. CoRR abs/2305.10807 (2023) - [i7]Chia-Hao Kao, Yi-Hsin Chen, Cheng Chien, Wei-Chen Chiu, Wen-Hsiao Peng:
Transformer-based Image Compression with Variable Image Quality Objectives. CoRR abs/2309.12717 (2023) - 2022
- [c8]Yen-Hao Huang, Yi-Hsin Chen, Yi-Shin Chen:
ConTextING: Granting Document-Wise Contextual Embeddings to Graph Neural Networks for Inductive Text Classification. COLING 2022: 1163-1168 - [c7]Chih Hsuan Lin, Yi-Hsin Chen, Wen-Hsiao Peng:
Content-Adaptive Motion Rate Adaption For Learned Video Compression. PCS 2022: 163-167 - [i6]Mu-Jung Chen, Yi-Hsin Chen, Peng-Yu Chen, Chih Hsuan Lin, Yung-Han Ho, Wen-Hsiao Peng:
B-CANF: Adaptive B-frame Coding with Conditional Augmented Normalizing Flows. CoRR abs/2209.01769 (2022) - 2021
- [c6]Yan-Cheng Huang, Yi-Hsin Chen, Cheng-You Lu, Hui-Po Wang, Wen-Hsiao Peng, Ching-Chun Huang:
Video Rescaling Networks With Joint Optimization Strategies for Downscaling and Upscaling. CVPR 2021: 3527-3536 - [c5]Han Tung Chen, Guan Ying Peng, Kai Chi Chang, Jia Yi Lin, Yi-Hsin Chen, Yu Kai Lin, Chao-Yi Huang, Jong-Chen Chen:
Enhance Face Recognition Using Time-series Face Images. ICCE-TW 2021: 1-2 - [c4]Yen-Hao Huang, Yi-Hsin Chen, Fernando H. Calderon, Yuwen Lai, Shu-I Wu, Yi-Shin Chen:
LiBRA: A Linguistic Bipolar Disorder Recognition Approach. IRI 2021: 228-235 - [i5]Yan-Cheng Huang, Yi-Hsin Chen, Cheng-You Lu, Hui-Po Wang, Wen-Hsiao Peng, Ching-Chun Huang:
Video Rescaling Networks with Joint Optimization Strategies for Downscaling and Upscaling. CoRR abs/2103.14858 (2021) - 2020
- [j4]Thanh V. Pham, Jeffrey D. Kromrey, Yi-Hsin Chen, Eun Sook Kim, Diep T. Nguyen, Yan Wang:
ANOVA_robust: A SAS Macro for Parametric Tests of Mean Differences in One-Factor ANOVA Models. J. Stat. Softw. 95(1) (2020) - [c3]Cheng-Hsun Lei, Yi-Hsin Chen, Wen-Hsiao Peng, Wei-Chen Chiu:
Class-Incremental Learning with Rectified Feature-Graph Preservation. ACCV (6) 2020: 358-374 - [i4]Cheng-Hsun Lei, Yi-Hsin Chen, Wen-Hsiao Peng, Wei-Chen Chiu:
Class-incremental Learning with Rectified Feature-Graph Preservation. CoRR abs/2012.08129 (2020)
2010 – 2019
- 2019
- [j3]Cheng-Chien Liu, Yu-Cheng Zhang, Pei-Yin Chen, Chien-Chih Lai, Yi-Hsin Chen, Ji-Hong Cheng, Ming-Hsun Ko:
Clouds Classification from Sentinel-2 Imagery with Deep Residual Learning and Semantic Image Segmentation. Remote. Sens. 11(2): 119 (2019) - [i3]Yen-Hao Huang, Yi-Hsin Chen, Fernando Henrique Calderon Alvarado, Ssu-Rui Lee, Shu-I Wu, Yuwen Lai, Yi-Shin Chen:
Leveraging Linguistic Characteristics for Bipolar Disorder Recognition with Gender Differences. CoRR abs/1907.07366 (2019) - [i2]Yen-Hao Huang, Ssu-Rui Lee, Mau-Yun Ma, Yi-Hsin Chen, Ya-Wen Yu, Yi-Shin Chen:
EmotionX-IDEA: Emotion BERT - an Affectional Model for Conversation. CoRR abs/1908.06264 (2019) - 2017
- [c2]Yi-Hsin Chen, Wei-Yu Chen, Yu-Ting Chen, Bo-Cheng Tsai, Yu-Chiang Frank Wang, Min Sun:
No More Discrimination: Cross City Adaptation of Road Scene Segmenters. ICCV 2017: 2011-2020 - [i1]Yi-Hsin Chen, Wei-Yu Chen, Yu-Ting Chen, Bo-Cheng Tsai, Yu-Chiang Frank Wang, Min Sun:
No More Discrimination: Cross City Adaptation of Road Scene Segmenters. CoRR abs/1704.08509 (2017) - 2015
- [j2]Cheng-Chien Liu, Yi-Hsin Chen, Hui-Lin Wen:
Supporting the annual international black-faced spoonbill census with a low-cost unmanned aerial vehicle. Ecol. Informatics 30: 170-178 (2015)
1980 – 1989
- 1987
- [j1]Yi-Hsin Chen, Fred Mintzer, Keith S. Pennington:
PANDA: Processing Algorithm for Noncoded Document Acquisition. IBM J. Res. Dev. 31(1): 32-43 (1987) - 1986
- [c1]Yi-Hsin Chen, Frederick C. Mintzer, Keith S. Pennington:
A binary representation of mixed documents (text/Graphic/Image) that compresses. ICASSP 1986: 537-540
Coauthor Index
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