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2020 – today
- 2026
[i6]Yu-Jen Tseng, Chia-Hao Kao, Jing-Zhong Chen, Alessandro Gnutti, Shao-Yuan Lo, Yen-Yu Lin, Wen-Hsiao Peng:
CSGaussian: Progressive Rate-Distortion Compression and Segmentation for 3D Gaussian Splatting. CoRR abs/2601.12814 (2026)- 2025
- [c9]Alessandro Gnutti, Chia-Hao Kao, Wen-Hsiao Peng, Riccardo Leonardi:
Learning Optimal Linear Block Transform by Rate Distortion Minimization. DCC 2025: 367 - [c8]Alessandro Gnutti, Ayman Alkhateeb, Chia-Hao Kao, Edoardo Daniele Cannas, Sara Mandelli, Wen-Hsiao Peng, Riccardo Leonardi, Pierangelo Migliorati:
Learned Image Compression for Deepfake Detection. EUSIPCO 2025: 1377-1381 - [c7]Chia-Hao Kao, Cheng Chien, Yu-Jen Tseng, Yi-Hsin Chen, Alessandro Gnutti, Shao-Yuan Lo, Wen-Hsiao Peng, Riccardo Leonardi:
Bridging Compressed Image Latents and Multimodal Large Language Models. ICLR 2025 - [c6]Alessandro Gnutti, Chia-Hao Kao, Wen-Hsiao Peng, Riccardo Leonardi:
Rate Distortion Learned Transform For Image Compression. PCS 2025: 1-5 - [c5]Chia-Hao Kao, Andrea Migliorati, Alessandro Gnutti, Enrico Magli, Riccardo Leonardi:
Learned Transcoding for Neural Image Compression. PCS 2025: 1-5 - 2024
- [i5]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
- [c4]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 - [c3]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 - [c2]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 - [i4]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) - [i3]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
- [c1]Yung-Han Ho, Chia-Hao Kao, Wen-Hsiao Peng, Ping-Chun Hsieh:
Neural Frank-Wolfe Policy Optimization for Region-of-Interest Intra-Frame Coding with HEVC/H.265. VCIP 2022: 1-5 - [i2]Yung-Han Ho, Yun Liang, Chia-Hao Kao, Wen-Hsiao Peng:
Action-Constrained Reinforcement Learning for Frame-Level Bit Allocation in HEVC/H.265 through Frank-Wolfe Policy Optimization. CoRR abs/2203.05127 (2022) - [i1]Yung-Han Ho, Chia-Hao Kao, Wen-Hsiao Peng, Ping-Chun Hsieh:
Neural Frank-Wolfe Policy Optimization for Region-of-Interest Intra-Frame Coding with HEVC/H.265. CoRR abs/2209.13210 (2022) - 2021
- [j1]Li-Yuan Hsu, Chia-Hao Kao, I-Sheng Jheng, Hung-Hsuan Chen:
Toward Building an Academic Search Engine Understanding the Purposes of the Matched Sentences in an Abstract. IEEE Access 9: 109344-109354 (2021)
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