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10/08/2022
Leveraging progressive model and overfitting for efficient learned image compression
Deep learning is overwhelmingly dominant in the field of computer vision...
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12/16/2021
Adaptation and Attention for Neural Video Coding
Neural image coding represents now the state-of-the-art image compressio...
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08/24/2021
Lossless Image Compression Using a Multi-Scale Progressive Statistical Model
Lossless image compression is an important technique for image storage a...
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08/23/2021
Image coding for machines: an end-to-end learned approach
Over recent years, deep learning-based computer vision systems have been...
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08/23/2021
Learned Image Coding for Machines: A Content-Adaptive Approach
Today, according to the Cisco Annual Internet Report (2018-2023), the fa...
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07/31/2020
L^2C – Learning to Learn to Compress
In this paper we present an end-to-end meta-learned system for image com...
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07/28/2020
Efficient Adaptation of Neural Network Filter for Video Compression
We present an efficient finetuning methodology for neural-network filter...
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04/20/2020
End-to-End Learning for Video Frame Compression with Self-Attention
One of the core components of conventional (i.e., non-learned) video cod...
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05/24/2019
A Compression Objective and a Cycle Loss for Neural Image Compression
In this manuscript we propose two objective terms for neural image compr...
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05/10/2019
Compressing Weight-updates for Image Artifacts Removal Neural Networks
In this paper, we present a novel approach for fine-tuning a decoder-sid...
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05/03/2019
Compressibility Loss for Neural Network Weights
In this paper we apply a compressibility loss that enables learning high...
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05/28/2018
Block-optimized Variable Bit Rate Neural Image Compression
In this work, we propose an end-to-end block-based auto-encoder system f...
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05/21/2018
Object Detection in Equirectangular Panorama
We introduced a high-resolution equirectangular panorama (360-degree, vi...
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02/26/2018
Depth Masked Discriminative Correlation Filter
Depth information provides a strong cue for occlusion detection and hand...
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02/08/2018
Saliency-Enhanced Robust Visual Tracking
Discrete correlation filter (DCF) based trackers have shown considerable...
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02/01/2018
Clustering and Unsupervised Anomaly Detection with L2 Normalized Deep Auto-Encoder Representations
Clustering is essential to many tasks in pattern recognition and compute...
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01/24/2018
A Theoretical Investigation of Graph Degree as an Unsupervised Normality Measure
For a graph representation of a dataset, a straightforward normality mea...
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12/27/2017
Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels
Computer vision algorithms with pixel-wise labeling tasks, such as seman...
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12/06/2016