Chia-Hao Kao

According to our database, Chia-Hao Kao authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

CSGaussian: Progressive Rate-Distortion Compression and Segmentation for 3D Gaussian Splatting.

Yu-Jen Tseng, Chia-Hao Kao, Jing-Zhong Chen, Alessandro Gnutti, Shao-Yuan Lo, Yen-Yu Lin, Wen-Hsiao Peng

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

Learned Transcoding for Neural Image Compression.

Chia-Hao Kao, Andrea Migliorati, Alessandro Gnutti, Enrico Magli, Riccardo Leonardi

Proceedings of the Picture Coding Symposium, 2025

Rate Distortion Learned Transform For Image Compression.

Alessandro Gnutti, Chia-Hao Kao, Wen-Hsiao Peng, Riccardo Leonardi

Proceedings of the Picture Coding Symposium, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Learned Image Compression for Deepfake Detection.

Alessandro Gnutti, Ayman Alkhateeb, Chia-Hao Kao, Edoardo Daniele Cannas, Sara Mandelli, Wen-Hsiao Peng, Riccardo Leonardi, Pierangelo Migliorati

Proceedings of the 33rd European Signal Processing Conference, 2025

Learning Optimal Linear Block Transform by Rate Distortion Minimization.

Alessandro Gnutti, Chia-Hao Kao, Wen-Hsiao Peng, Riccardo Leonardi

Proceedings of the Data Compression Conference, 2025

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

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

Proceedings of the IEEE International Conference on Image Processing, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Transformer-based Image Compression with Variable Image Quality Objectives.

Chia-Hao Kao, Yi-Hsin Chen, Cheng Chien, Wei-Chen Chiu, Wen-Hsiao Peng

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022

Action-Constrained Reinforcement Learning for Frame-Level Bit Allocation in HEVC/H.265 through Frank-Wolfe Policy Optimization.

Yung-Han Ho, Yun Liang, Chia-Hao Kao, Wen-Hsiao Peng

CoRR, 2022

Neural Frank-Wolfe Policy Optimization for Region-of-Interest Intra-Frame Coding with HEVC/H.265.

Yung-Han Ho, Chia-Hao Kao, Wen-Hsiao Peng, Ping-Chun Hsieh

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

2021

Toward Building an Academic Search Engine Understanding the Purposes of the Matched Sentences in an Abstract.

Li-Yuan Hsu, Chia-Hao Kao, I-Sheng Jheng, Hung-Hsuan Chen

IEEE Access, 2021