Search Results for author: Jan P. Klopp

Found 5 papers, 0 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.

8k Decoder +1

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

Utilising Low Complexity CNNs to Lift Non-Local Redundancies in Video Coding

no code implementations19 Oct 2019 Jan P. Klopp, Liang-Gee Chen, Shao-Yi Chien

The method can be applied to any existing video codec to increase coding gains while its low computational footprint allows for an application under resource-constrained conditions.

Denoising Video Compression

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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