A binary representation of mixed documents (text/Graphic/Image) that compresses. - Yi-Hsin Chen; Frederick C. Mintzer; Keith S. Pennington (ICASSP, 1986)

PANDA: Processing Algorithm for Noncoded Document Acquisition. - Yi-Hsin Chen; Fred Mintzer; Keith S. Pennington (IBM J. Res. Dev., 1987)

Supporting the annual international black-faced spoonbill census with a low-cost unmanned aerial vehicle. - Cheng-Chien Liu; Yi-Hsin Chen; Hui-Lin Wen (Ecol. Informatics, 2015)

No More Discrimination: Cross City Adaptation of Road Scene Segmenters. - Yi-Hsin Chen; Wei-Yu Chen; Yu-Ting Chen; Bo-Cheng Tsai; Yu-Chiang Frank Wang; Min Sun (ICCV, 2017)

Leveraging Linguistic Characteristics for Bipolar Disorder Recognition with Gender Differences. - Yen-Hao Huang; Yi-Hsin Chen; Fernando Henrique Calderon Alvarado; Ssu-Rui Lee; Shu-I Wu; Yuwen Lai; Yi-Shin Chen (CoRR, 2019)

EmotionX-IDEA: Emotion BERT - an Affectional Model for Conversation. - Yen-Hao Huang; Ssu-Rui Lee; Mau-Yun Ma; Yi-Hsin Chen; Ya-Wen Yu; Yi-Shin Chen (CoRR, 2019)

Clouds Classification from Sentinel-2 Imagery with Deep Residual Learning and Semantic Image Segmentation. - Cheng-Chien Liu; Yu-Cheng Zhang; Pei-Yin Chen; Chien-Chih Lai; Yi-Hsin Chen; Ji-Hong Cheng; Ming-Hsun Ko (Remote. Sens., 2019)

Class-Incremental Learning with Rectified Feature-Graph Preservation. - Cheng-Hsun Lei; Yi-Hsin Chen; Wen-Hsiao Peng; Wei-Chen Chiu (ACCV (6), 2020)

ANOVA_robust: A SAS Macro for Parametric Tests of Mean Differences in One-Factor ANOVA Models. - Thanh V. Pham; Jeffrey D. Kromrey; Yi-Hsin Chen; Eun Sook Kim; Diep T. Nguyen; Yan Wang (J. Stat. Softw., 2020)

Video Rescaling Networks With Joint Optimization Strategies for Downscaling and Upscaling. - Yan-Cheng Huang; Yi-Hsin Chen; Cheng-You Lu; Hui-Po Wang; Wen-Hsiao Peng; Ching-Chun Huang (CVPR, 2021)

Enhance Face Recognition Using Time-series Face Images. - Han Tung Chen; Guan Ying Peng; Kai Chi Chang; Jia Yi Lin; Yi-Hsin Chen; Yu Kai Lin; Chao-Yi Huang; Jong-Chen Chen (ICCE-TW, 2021)

LiBRA: A Linguistic Bipolar Disorder Recognition Approach. - Yen-Hao Huang; Yi-Hsin Chen; Fernando H. Calderon; Yuwen Lai; Shu-I Wu; Yi-Shin Chen (IRI, 2021)

ConTextING: Granting Document-Wise Contextual Embeddings to Graph Neural Networks for Inductive Text Classification. - Yen-Hao Huang; Yi-Hsin Chen; Yi-Shin Chen (COLING, 2022)

Design a Robot as a Double with Micro-expression to Participate in a Virtual Situational Learning Environment and its Effect on Students' Learning Performance. - Vando Gusti Al Hakim; Su-Hang Yang; Jen-Hang Wang; Yi-Jing Li; Yi-Hsin Chen; Gwo-Dong Chen (ICCE, 2022)

Content-Adaptive Motion Rate Adaption For Learned Video Compression. - Chih Hsuan Lin; Yi-Hsin Chen; Wen-Hsiao Peng (PCS, 2022)

B-CANF: Adaptive B-frame Coding with Conditional Augmented Normalizing Flows. - Mu-Jung Chen; Yi-Hsin Chen; Peng-Yu Chen; Chih Hsuan Lin; Yung-Han Ho; Wen-Hsiao Peng (CoRR, 2022)

Transformer-based Image Compression with Variable Image Quality Objectives. - Chia-Hao Kao; Yi-Hsin Chen; Cheng Chien; Wei-Chen Chiu; Wen-Hsiao Peng (APSIPA ASC, 2023)

MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution. - Yi-Hsin Chen; Si-Cun Chen; Yi-Hsin Chen; Yen-Yu Lin; Wen-Hsiao Peng (ICCV, 2023)

MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution. - Yi-Hsin Chen; Si-Cun Chen; Yi-Hsin Chen; Yen-Yu Lin; Wen-Hsiao Peng (ICCV, 2023)

TransTIC: Transferring Transformer-based Image Compression from Human Perception to Machine Perception. - Yi-Hsin Chen; Ying-Chieh Weng; Chia-Hao Kao; Cheng Chien; Wei-Chen Chiu; Wen-Hsiao Peng (ICCV, 2023)

Transformer-Based Variable-Rate Image Compression with Region-of-Interest Control. - Chia-Hao Kao; Ying-Chieh Weng; Yi-Hsin Chen; Wei-Chen Chiu; Wen-Hsiao Peng (ICIP, 2023)

Continually-Adapted Margin and Multi-Anchor Distillation for Class-Incremental Learning. - Yi-Hsin Chen; Dian-Shan Chen; Ying-Chieh Weng; Wen-Hsiao Peng; Wei-Chen Chiu (SMC, 2023)

Learning-Based Scalable Video Coding with Spatial and Temporal Prediction. - Martin Benjak; Yi-Hsin Chen; Wen-Hsiao Peng; Jörn Ostermann (VCIP, 2023)

Rate Adaptation for Learned Two-layer B-frame Coding without Signaling Motion Information. - Hong-Sheng Xie; Yi-Hsin Chen; Wen-Hsiao Peng; Martin Benjak; Jörn Ostermann (VCIP, 2023)

Content-Adaptive Motion Rate Adaption for Learned Video Compression. - Chih-Hsuan Lin; Yi-Hsin Chen; Wen-Hsiao Peng (CoRR, 2023)

Lidar Depth Map Guided Image Compression Model. - Alessandro Gnutti; Stefano Della Fiore; Mattia Savardi; Yi-Hsin Chen; Riccardo Leonardi; Wen-Hsiao Peng (ICIP, 2024)

On the Rate-Distortion-Complexity Trade-Offs of Neural Video Coding. - Yi-Hsin Chen; Kuan-Wei Ho; Martin Benjak; Jörn Ostermann; Wen-Hsiao Peng (MMSP, 2024)

Transformer-Based Learned Image Compression for Joint Decoding and Denoising. - Yi-Hsin Chen; Kuan-Wei Ho; Shiau-Rung Tsai; Guan-Hsun Lin; Alessandro Gnutti; Wen-Hsiao Peng; Riccardo Leonardi (PCS, 2024)

Using Conditional Video Compressors for Image Restoration. - Yi-Hsin Chen; Yen-Kuan Ho; Ting-Han Lin; Wen-Hsiao Peng; Ching-Chun Huang (WOCC, 2024)

ComNeck: Bridging Compressed Image Latents and Multimodal LLMs via Universal Transform-Neck. - Chia-Hao Kao; Cheng Chien; Yu-Jen Tseng; Yi-Hsin Chen; Alessandro Gnutti; Shao-Yuan Lo; Wen-Hsiao Peng; Riccardo Leonardi (CoRR, 2024)

B-CANF: Adaptive B-Frame Coding With Conditional Augmented Normalizing Flows. - Mu-Jung Chen; Yi-Hsin Chen; Wen-Hsiao Peng (IEEE Trans. Circuits Syst. Video Technol., 2024)

MaskCRT: Masked Conditional Residual Transformer for Learned Video Compression. - Yi-Hsin Chen; Hong-Sheng Xie; Cheng-Wei Chen; Zong-Lin Gao; Martin Benjak; Wen-Hsiao Peng; Jörn Ostermann (IEEE Trans. Circuits Syst. Video Technol., 2024)

Bridging Compressed Image Latents and Multimodal Large Language Models. - Chia-Hao Kao; Cheng Chien; Yu-Jen Tseng; Yi-Hsin Chen; Alessandro Gnutti; Shao-Yuan Lo; Wen-Hsiao Peng; Riccardo Leonardi (ICLR, 2025)

CAT-3DGS: A Context-Adaptive Triplane Approach to Rate-Distortion-Optimized 3DGS Compression. - Yu-Ting Zhan; Cheng-Yuan Ho; Hebi Yang; Yi-Hsin Chen; Jui-Chiu Chiang; Yu-Lun Liu 001; Wen-Hsiao Peng (ICLR, 2025)

MaskCRT-B: Masked Conditional Residual Transformer for Learned B-frame Coding. - Zong-Lin Gao; Yi-Chen Yao; Kuan-Wei Ho; Yi-Hsin Chen; Wen-Hsiao Peng (ISCAS, 2025)