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04/05/2023
Hierarchical B-frame Video Coding Using Two-Layer CANF without Motion Coding
Typical video compression systems consist of two main modules: motion co...
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12/29/2022
Learned Hierarchical B-frame Coding with Adaptive Feature Modulation for YUV 4:2:0 Content
This paper introduces a learned hierarchical B-frame coding scheme in re...
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10/15/2022
Learned Video Compression for YUV 4:2:0 Content Using Flow-based Conditional Inter-frame Coding
This paper proposes a learning-based video compression framework for var...
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07/04/2022
Fast Vehicle Detection and Tracking on Fisheye Traffic Monitoring Video using CNN and Bounding Box Propagation
We design a fast car detection and tracking algorithm for traffic monito...
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07/18/2021
ANFIC: Image Compression Using Augmented Normalizing Flows
This paper introduces an end-to-end learned image compression system, te...
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12/15/2020
FINED: Fast Inference Network for Edge Detection
In this paper, we address the design of lightweight deep learning-based ...
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12/14/2020
Learned Video Codec with Enriched Reconstruction for CLIC P-frame Coding
This paper proposes a learning-based video codec, specifically used for ...
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05/28/2020
Traditional Method Inspired Deep Neural Network for Edge Detection
Recently, Deep-Neural-Network (DNN) based edge prediction is progressing...
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07/23/2019
Exploring Semantic Segmentation on the DCT Representation
Typical convolutional networks are trained and conducted on RGB images. ...
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07/22/2019
Multi-Class Lane Semantic Segmentation using Efficient Convolutional Networks
Lane detection plays an important role in a self-driving vehicle. Severa...
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05/01/2019
Learned Image Compression with Soft Bit-based Rate-Distortion Optimization
This paper introduces the notion of soft bits to address the rate-distor...
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04/10/2019
DSNet: An Efficient CNN for Road Scene Segmentation
Road scene understanding is a critical component in an autonomous drivin...
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02/20/2019
An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU
We propose a lossy image compression system using the deep-learning auto...
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09/17/2018
Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation
Real-time semantic segmentation plays an important role in practical app...
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09/11/2018
