research
∙
09/08/2023
CNN Injected Transformer for Image Exposure Correction
Capturing images with incorrect exposure settings fails to deliver a sat...
share
research
∙
09/08/2023
Towards Efficient SDRTV-to-HDRTV by Learning from Image Formation
Modern displays are capable of rendering video content with high dynamic...
research
∙
08/25/2023
Direction-aware Video Demoireing with Temporal-guided Bilateral Learning
Moire patterns occur when capturing images or videos on screens, severel...
research
∙
08/18/2023
Rethinking Image Forgery Detection via Contrastive Learning and Unsupervised Clustering
Image forgery detection aims to detect and locate forged regions in an i...
research
∙
08/08/2023
Under-Display Camera Image Restoration with Scattering Effect
The under-display camera (UDC) provides consumers with a full-screen vis...
research
∙
07/27/2023
A Memory-Augmented Multi-Task Collaborative Framework for Unsupervised Traffic Accident Detection in Driving Videos
Identifying traffic accidents in driving videos is crucial to ensuring t...
research
∙
07/05/2023
DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models
Image super-resolution (SR) with generative adversarial networks (GAN) h...
research
∙
07/01/2023
Common Knowledge Learning for Generating Transferable Adversarial Examples
This paper focuses on an important type of black-box attacks, i.e., tran...
research
∙
05/23/2023
Generalizable Synthetic Image Detection via Language-guided Contrastive Learning
The heightened realism of AI-generated images can be attributed to the r...
research
∙
03/21/2023
Effective Ambiguity Attack Against Passport-based DNN Intellectual Property Protection Schemes through Fully Connected Layer Substitution
Since training a deep neural network (DNN) is costly, the well-trained d...
research
∙
11/21/2022
STGlow: A Flow-based Generative Framework with Dual Graphormer for Pedestrian Trajectory Prediction
Pedestrian trajectory prediction task is an essential component of intel...
research
∙
07/06/2022
Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution
With the development of deep learning, single image super-resolution (SI...
research
∙
05/30/2022
Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolution
In this paper, we investigate the problem of hyperspectral (HS) image sp...
research
∙
05/25/2022
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
This paper reviews the challenge on constrained high dynamic range (HDR)...
research
∙
05/09/2022
Activating More Pixels in Image Super-Resolution Transformer
Transformer-based methods have shown impressive performance in low-level...
research
∙
04/28/2022
Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing Modalities
Multimodal sentiment analysis has been studied under the assumption that...
research
∙
03/02/2022
A Principled Design of Image Representation: Towards Forensic Tasks
Image forensics is a rising topic as the trustworthy multimedia content ...
research
∙
05/26/2021
Probabilistic Selective Encryption of Convolutional Neural Networks for Hierarchical Services
Model protection is vital when deploying Convolutional Neural Networks (...
research
∙
05/08/2021
Self-Supervised Adversarial Example Detection by Disentangled Representation
Deep learning models are known to be vulnerable to adversarial examples ...
research
∙
03/27/2021
A Survey of Orthogonal Moments for Image Representation: Theory, Implementation, and Evaluation
Image representation is an important topic in computer vision and patter...
research
∙
03/07/2021
Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain
Deep neural networks (DNNs) have been shown to be vulnerable against adv...
research
∙
01/19/2021
GIID-Net: Generalizable Image Inpainting Detection via Neural Architecture Search and Attention
Deep learning (DL) has demonstrated its powerful capabilities in the fie...
research
∙
12/03/2020
Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision
Predicting human motion behavior in a crowd is important for many applic...
research
∙
09/02/2020
Deep Generative Model for Image Inpainting with Local Binary Pattern Learning and Spatial Attention
Deep learning (DL) has demonstrated its powerful capabilities in the fie...
research
∙
09/02/2020
Privacy Leakage of SIFT Features via Deep Generative Model based Image Reconstruction
Many practical applications, e.g., content based image retrieval and obj...
research
∙
06/18/2020
Hyperspectral Image Super-resolution via Deep Progressive Zero-centric Residual Learning
This paper explores the problem of hyperspectral image (HSI) super-resol...
research
∙
05/16/2020
The Power of Triply Complementary Priors for Image Compressive Sensing
Recent works that utilized deep models have achieved superior results in...
research
∙
12/12/2019
