17 citations · 32 across the 9 of their papers we have counts for
11 papers
ANFIC: Image Compression Using Augmented Normalizing Flows
Yung-Han Ho, Chih-Chun Chan, Wen-Hsiao Peng +2
This paper introduces an end-to-end learned image compression system, termed ANFIC, based on Augmented Normalizing Flows (ANF). ANF is a new type of flow model, which stacks multip…
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…
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…
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…
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…
Exploring Semantic Segmentation on the DCT Representation
Shao-Yuan Lo, Hsueh-Ming Hang
Typical convolutional networks are trained and conducted on RGB images. However, images are often compressed for memory savings and efficient transmission in real-world application…