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20182023
most citedAn Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU

17 citations · 33 across the 11 of their papers we have counts for

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11 papers · 1 filter

cs.CV2023★ 1 cited

Hierarchical B-frame Video Coding Using Two-Layer CANF without Motion Coding

David Alexandre, Hsueh-Ming Hang, Wen-Hsiao Peng

Typical video compression systems consist of two main modules: motion coding and residual coding. This general architecture is adopted by classical coding schemes (such as internat…

cs.CV2022

Learned Hierarchical B-frame Coding with Adaptive Feature Modulation for YUV 4:2:0 Content

Mu-Jung Chen, Hong-Sheng Xie, Cheng Chien +2

This paper introduces a learned hierarchical B-frame coding scheme in response to the Grand Challenge on Neural Network-based Video Coding at ISCAS 2023. We address specifically th…

cs.CV2020★ 2 cited

FINED: Fast Inference Network for Edge Detection

Jan Kristanto Wibisono, Hsueh-Ming Hang

In this paper, we address the design of lightweight deep learning-based edge detection. The deep learning technology offers a significant improvement on the edge detection accuracy…

cs.CV2020★ 1 cited

Learned Video Codec with Enriched Reconstruction for CLIC P-frame Coding

David Alexandre, Hsueh-Ming Hang

This paper proposes a learning-based video codec, specifically used for Challenge on Learned Image Compression (CLIC, CVPRWorkshop) 2020 P-frame coding. More specifically, we desig…

cs.CV2020★ 3 cited

Traditional Method Inspired Deep Neural Network for Edge Detection

Jan Kristanto Wibisono, Hsueh-Ming Hang

Recently, Deep-Neural-Network (DNN) based edge prediction is progressing fast. Although the DNN based schemes outperform the traditional edge detectors, they have much higher compu…

cs.CV2019★ 2 cited

Multi-Class Lane Semantic Segmentation using Efficient Convolutional Networks

Shao-Yuan Lo, Hsueh-Ming Hang, Sheng-Wei Chan +1

Lane detection plays an important role in a self-driving vehicle. Several studies leverage a semantic segmentation network to extract robust lane features, but few of them can dist…