Search Results for author: Keng-Chi Liu

Found 6 papers, 1 papers with code

Online-Trained Upsampler for Deep Low Complexity Video Compression

no code implementations ICCV 2021 Jan P. Klopp, Keng-Chi Liu, Shao-Yi Chien, Liang-Gee Chen

This hybrid solution has a small scope of only 10s or 100s of frames and allows for a low complexity both on the encoding and the decoding side.

Video Compression

How to Exploit the Transferability of Learned Image Compression to Conventional Codecs

no code implementations CVPR 2021 Jan P. Klopp, Keng-Chi Liu, Liang-Gee Chen, Shao-Yi Chien

Recent research suggests that generative adversarial networks have the ability to overcome this limitation and serve as a multi-modal loss, especially for textures.

Generative Adversarial Network Image Compression +2

Self-similarity Student for Partial Label Histopathology Image Segmentation

no code implementations ECCV 2020 Hsien-Tzu Cheng, Chun-Fu Yeh, Po-Chen Kuo, Andy Wei, Keng-Chi Liu, Mong-Chi Ko, Kuan-Hua Chao, Yu-Ching Peng, Tyng-Luh Liu

Following this similarity learning, our similarity ensemble merges similar patches' ensembled predictions as the pseudo-label of a given patch to counteract its noisy label.

Image Segmentation Pseudo Label +2

What Synthesis is Missing: Depth Adaptation Integrated with Weak Supervision for Indoor Scene Parsing

no code implementations ICCV 2019 Keng-Chi Liu, Yi-Ting Shen, Jan P. Klopp, Liang-Gee Chen

Our proposed two-stage integration more than halves the gap towards fully supervised methods when compared to previous state-of-the-art in transfer learning.

Scene Parsing Transfer Learning

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