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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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03/08/2023
Scene Matters: Model-based Deep Video Compression
Video compression has always been a popular research area, where many tr...
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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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09/06/2022
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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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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03/15/2022
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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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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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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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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02/18/2020
A Modified Perturbed Sampling Method for Local Interpretable Model-agnostic Explanation
Explainability is a gateway between Artificial Intelligence and society ...
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11/04/2019
Explaining the Predictions of Any Image Classifier via Decision Trees
Despite outstanding contribution to the significant progress of Artifici...
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09/19/2019
PgNN: Physics-guided Neural Network for Fourier Ptychographic Microscopy
Fourier ptychography (FP) is a newly developed computational imaging app...
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08/16/2019
Cascaded Parallel Filtering for Memory-Efficient Image-Based Localization
Image-based localization (IBL) aims to estimate the 6DOF camera pose for...
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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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05/06/2019
Compressed Image Quality Assessment Based on Saak Features
Compressed image quality assessment plays an important role in image ser...
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04/07/2019
Image and Video Compression with Neural Networks: A Review
In recent years, the image and video coding technologies have advanced b...
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03/14/2019
Scalable Facial Image Compression with Deep Feature Reconstruction
In this paper, we propose a scalable image compression scheme, including...
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07/28/2018
A user model for JND-based video quality assessment: theory and applications
The video quality assessment (VQA) technology has attracted a lot of att...
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07/02/2018
A JND-based Video Quality Assessment Model and Its Application
Based on the Just-Noticeable-Difference (JND) criterion, a subjective vi...
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06/28/2018
Analysis and prediction of JND-based video quality model
The just-noticeable-difference (JND) visual perception property has rece...
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05/27/2018
Anomaly Detection and Localization in Crowded Scenes by Motion-field Shape Description and Similarity-based Statistical Learning
In crowded scenes, detection and localization of abnormal behaviors is c...
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09/25/2017
Spatial-Temporal Residue Network Based In-Loop Filter for Video Coding
Deep learning has demonstrated tremendous break through in the area of i...
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05/27/2017