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09/21/2023
Spatial-Temporal Transformer based Video Compression Framework
Learned video compression (LVC) has witnessed remarkable advancements in...
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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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07/17/2023
Extreme Image Compression using Fine-tuned VQGAN Models
Recent advances in generative compression methods have demonstrated rema...
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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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04/27/2023
Optimization-Inspired Cross-Attention Transformer for Compressive Sensing
By integrating certain optimization solvers with deep neural networks, d...
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04/14/2023
Machine Perception-Driven Image Compression: A Layered Generative Approach
In this age of information, images are a critical medium for storing and...
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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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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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09/06/2022
Cross Modal Compression: Towards Human-comprehensible Semantic Compression
Traditional image/video compression aims to reduce the transmission/stor...
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07/30/2022
Consistent Quality Oriented Rate Control in HEVC via Balancing Intra and Inter Frame Coding
Consistent quality oriented rate control in video coding has attracted m...
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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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03/15/2022
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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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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05/30/2021
Blind Quality Assessment for in-the-Wild Images via Hierarchical Feature Fusion and Iterative Mixed Database Training
Image quality assessment (IQA) is very important for both end-users and ...
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04/21/2021
Visual Analysis Motivated Rate-Distortion Model for Image Coding
Optimized for pixel fidelity metrics, images compressed by existing imag...
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03/12/2021
Thousand to One: Semantic Prior Modeling for Conceptual Coding
Conceptual coding has been an emerging research topic recently, which en...
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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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11/10/2020
Conceptual Compression via Deep Structure and Texture Synthesis
Existing compression methods typically focus on the removal of signal-le...
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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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08/26/2020
Low Complexity Trellis-Coded Quantization in Versatile Video Coding
The forthcoming Versatile Video Coding (VVC) standard adopts the trellis...
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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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07/03/2020
A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identification
RGB-Infrared (IR) cross-modality person re-identification (re-ID), which...
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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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04/21/2020
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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10/22/2019
Recent Advances on HEVC Inter-frame Coding: From Optimization to Implementation and Beyond
High Efficiency Video Coding (HEVC) has doubled the video compression ra...
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08/30/2019
UGC-VIDEO: perceptual quality assessment of user-generated videos
Recent years have witnessed an ever-expandingvolume of user-generated co...
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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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06/03/2019
Masked Non-Autoregressive Image Captioning
Existing captioning models often adopt the encoder-decoder architecture,...
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04/15/2019
Self-critical n-step Training for Image Captioning
Existing methods for image captioning are usually trained by cross entro...
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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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04/01/2019
Layered Image Compression using Scalable Auto-encoder
This paper presents a novel convolutional neural network (CNN) based ima...
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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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03/13/2019
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
Most conditional generation tasks expect diverse outputs given a single ...
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06/19/2018