Search Results for author: Hsueh-Ming Hang

Found 16 papers, 5 papers with code

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

no code implementations CVPR 2023 David Alexandre, Hsueh-Ming Hang, Wen-Hsiao Peng

The rate-distortion performance of our scheme is slightly lower than that of the state-of-the-art learned B-frame coding scheme, B-CANF, but outperforms other learned B-frame coding schemes.

Video Compression

ANFIC: Image Compression Using Augmented Normalizing Flows

1 code implementation18 Jul 2021 Yung-Han Ho, Chih-Chun Chan, Wen-Hsiao Peng, Hsueh-Ming Hang, Marek Domanski

This paper introduces an end-to-end learned image compression system, termed ANFIC, based on Augmented Normalizing Flows (ANF).

Image Compression

FINED: Fast Inference Network for Edge Detection

1 code implementation15 Dec 2020 Jan Kristanto Wibisono, Hsueh-Ming Hang

In contrast, we propose a Fast Inference Network for Edge Detection (FINED), which is a lightweight neural net dedicated to edge detection.

Edge Detection Object Detection +1

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

no code implementations14 Dec 2020 David Alexandre, Hsueh-Ming Hang

More specifically, we designed a compressor network with Refine-Net for coding residual signals and motion vectors.

Image Compression Motion Estimation

Traditional Method Inspired Deep Neural Network for Edge Detection

1 code implementation28 May 2020 Jan Kristanto Wibisono, Hsueh-Ming Hang

Therefore, we propose a traditional method inspired framework to produce good edges with minimal complexity.

Edge Detection Image Segmentation +2

Semi-supervised Semantic Segmentation using Auxiliary Network

no code implementations25 Sep 2019 Wei-Hsu Chen, Hsueh-Ming Hang

Then, in the unsupervised training phase, the unlabeled images are segmented and a subset of image pixels are picked up by the auxiliary network; and then they are used as ground truth to train the segmentation network.

Autonomous Driving Semi-Supervised Semantic Segmentation

Multi-Class Lane Semantic Segmentation using Efficient Convolutional Networks

no code implementations22 Jul 2019 Shao-Yuan Lo, Hsueh-Ming Hang, Sheng-Wei Chan, Jing-Jhih Lin

Several studies leverage a semantic segmentation network to extract robust lane features, but few of them can distinguish different types of lanes.

Lane Detection Semantic Segmentation

DSNet: An Efficient CNN for Road Scene Segmentation

no code implementations10 Apr 2019 Ping-Rong Chen, Hsueh-Ming Hang, Sheng-Wei Chan, Jing-Jhih Lin

Although the deep learning-based road scene segmentation can achieve very high accuracy, its complexity is also very high for developing real-time applications.

Autonomous Driving road scene understanding +1

An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU

no code implementations20 Feb 2019 David Alexandre, Chih-Peng Chang, Wen-Hsiao Peng, Hsueh-Ming Hang

We propose a lossy image compression system using the deep-learning autoencoder structure to participate in the Challenge on Learned Image Compression (CLIC) 2018.

Image Compression MS-SSIM +1

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