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09/14/2023
MPAI-EEV: Standardization Efforts of Artificial Intelligence based End-to-End Video Coding
The rapid advancement of artificial intelligence (AI) technology has led...
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08/07/2023
Intelligence-Endogenous Management Platform for Computing and Network Convergence
Massive emerging applications are driving demand for the ubiquitous depl...
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07/18/2023
CSSL-RHA: Contrastive Self-Supervised Learning for Robust Handwriting Authentication
Handwriting authentication is a valuable tool used in various fields, su...
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06/25/2023
SpikeCodec: An End-to-end Learned Compression Framework for Spiking Camera
Recently, the bio-inspired spike camera with continuous motion recording...
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03/21/2023
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation
In this paper, a novel Diffusion-based 3D Pose estimation (D3DP) method ...
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02/20/2023
Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey
With the urgent demand for generalized deep models, many pre-trained big...
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01/15/2023
Learning to Compress Unmanned Aerial Vehicle (UAV) Captured Video: Benchmark and Analysis
During the past decade, the Unmanned-Aerial-Vehicles (UAVs) have attract...
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11/13/2022
SMR: Satisfied Machine Ratio Modeling for Machine Recognition-Oriented Image and Video Compression
Tons of images and videos are fed into machines for visual recognition a...
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09/11/2022
Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression
Lossless and near-lossless image compression is of paramount importance ...
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09/06/2022
Cross Modal Compression: Towards Human-comprehensible Semantic Compression
Traditional image/video compression aims to reduce the transmission/stor...
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06/09/2022
STIP: A SpatioTemporal Information-Preserving and Perception-Augmented Model for High-Resolution Video Prediction
Although significant achievements have been achieved by recurrent neural...
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06/07/2022
Hierarchical Similarity Learning for Aliasing Suppression Image Super-Resolution
As a highly ill-posed issue, single image super-resolution (SISR) has be...
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05/27/2022
Textural-Structural Joint Learning for No-Reference Super-Resolution Image Quality Assessment
Image super-resolution (SR) has been widely investigated in recent years...
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04/26/2022
Learning Weighting Map for Bit-Depth Expansion within a Rational Range
Bit-depth expansion (BDE) is one of the emerging technologies to display...
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04/20/2022
STAU: A SpatioTemporal-Aware Unit for Video Prediction and Beyond
Video prediction aims to predict future frames by modeling the complex s...
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03/30/2022
STRPM: A Spatiotemporal Residual Predictive Model for High-Resolution Video Prediction
Although many video prediction methods have obtained good performance in...
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03/16/2022
Gradient Correction beyond Gradient Descent
The great success neural networks have achieved is inseparable from the ...
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03/15/2022
P-STMO: Pre-Trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation
This paper introduces a novel Pre-trained Spatial Temporal Many-to-One (...
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01/05/2022
Cross-SRN: Structure-Preserving Super-Resolution Network with Cross Convolution
It is challenging to restore low-resolution (LR) images to super-resolut...
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12/23/2021
ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
Pre-trained language models have achieved state-of-the-art results in va...
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12/17/2021
Towards End-to-End Image Compression and Analysis with Transformers
We propose an end-to-end image compression and analysis model with Trans...
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07/29/2021
Video-based Point Cloud Compression Artifact Removal
Photo-realistic point cloud capture and transmission are the fundamental...
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07/29/2021
Improving Robustness and Accuracy via Relative Information Encoding in 3D Human Pose Estimation
Most of the existing 3D human pose estimation approaches mainly focus on...
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06/27/2021
Post-Training Quantization for Vision Transformer
Recently, transformer has achieved remarkable performance on a variety o...
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06/24/2021
Rate Distortion Characteristic Modeling for Neural Image Compression
End-to-end optimization capability offers neural image compression (NIC)...
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06/10/2021
Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement
Unsupervised learning methods have recently shown their competitiveness ...
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12/30/2020
Sub-sampled Cross-component Prediction for Emerging Video Coding Standards
Cross-component linear model (CCLM) prediction has been repeatedly prove...
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12/11/2020
Intrinsic Temporal Regularization for High-resolution Human Video Synthesis
Temporal consistency is crucial for extending image processing pipelines...
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12/01/2020
Pre-Trained Image Processing Transformer
As the computing power of modern hardware is increasing strongly, pre-tr...
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11/27/2020
Deinterlacing Network for Early Interlaced Videos
With the rapid development of image restoration techniques, high-definit...
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10/12/2020
Implicit Subspace Prior Learning for Dual-Blind Face Restoration
Face restoration is an inherently ill-posed problem, where additional pr...
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08/20/2020
Assessing the Quality-of-Experience of Adaptive Bitrate Video Streaming
The diversity of video delivery pipeline poses a grand challenge to the ...
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07/19/2020
Progressive Multi-Scale Residual Network for Single Image Super-Resolution
Super-resolution is a classical issue in image restoration field. In rec...
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05/26/2020
Towards Fine-grained Human Pose Transfer with Detail Replenishing Network
Human pose transfer (HPT) is an emerging research topic with huge potent...
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05/26/2020
Region-adaptive Texture Enhancement for Detailed Person Image Synthesis
The ability to produce convincing textural details is essential for the ...
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05/20/2020
Iterative Network for Image Super-Resolution
Single image super-resolution (SISR), as a traditional ill-conditioned i...
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05/11/2020
HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment
Existing face restoration researches typically relies on either the degr...
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04/30/2020
SegaBERT: Pre-training of Segment-aware BERT for Language Understanding
Pre-trained language models have achieved state-of-the-art results in va...
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04/23/2020
Location-Aware Feature Selection for Scene Text Detection
Direct regression-based natural scene text detection methods have alread...
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04/21/2020
Towards Analysis-friendly Face Representation with Scalable Feature and Texture Compression
It plays a fundamental role to compactly represent the visual informatio...
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04/07/2020
Learning to fool the speaker recognition
Due to the widespread deployment of fingerprint/face/speaker recognition...
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04/07/2020
Universal Adversarial Perturbations Generative Network for Speaker Recognition
Attacking deep learning based biometric systems has drawn more and more ...
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04/07/2020
Direct Speech-to-image Translation
Direct speech-to-image translation without text is an interesting and us...
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04/05/2020
Semantics of the Unwritten
The semantics of a text is manifested not only by what is read, but also...
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01/10/2020
Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics
Video coding, which targets to compress and reconstruct the whole frame,...
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11/18/2019
A Knowledge-Driven Quality-of-Experience Model for Adaptive Streaming Videos
The fundamental conflict between the enormous space of adaptive streamin...
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08/27/2019
Global-Local Temporal Representations For Video Person Re-Identification
This paper proposes the Global-Local Temporal Representation (GLTR) to e...
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08/06/2019
Predictive Generalized Graph Fourier Transform for Attribute Compression of Dynamic Point Clouds
As 3D scanning devices and depth sensors advance, dynamic point clouds h...
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07/31/2019
Towards Digital Retina in Smart Cities: A Model Generation, Utilization and Communication Paradigm
The digital retina in smart cities is to select what the City Eye tells ...
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07/22/2019
