Search Results for author:
Found 28 papers, 10 papers with code
Multi-resolution Spatiotemporal Enhanced Transformer Denoising with Functional Diffusive GANs for Constructing Brain Effective Connectivity in MCI analysis
In this paper, a novel Multi-resolution Spatiotemporal Enhanced Transformer Denoising (MSETD) network with an adversarially functional diffusion model is proposed to map functional magnetic resonance imaging (fMRI) into effective connectivity for mild cognitive impairment (MCI) analysis.
Quaternion-valued Correlation Learning for Few-Shot Semantic Segmentation
Specifically, our QCLNet is formulated as a hyper-complex valued network and represents correlation tensors in the quaternion domain, which uses quaternion-valued convolution to explore the external relations of query subspace when considering the hidden relationship of the support sub-dimension in the quaternion space.
Locality Preserving Multiview Graph Hashing for Large Scale Remote Sensing Image Search
This article proposes a multiview hashing with learnable parameters to retrieve the queried images for a large-scale remote sensing dataset.
Explicit Visual Prompting for Low-Level Structure Segmentations
Different from the previous visual prompting which is typically a dataset-level implicit embedding, our key insight is to enforce the tunable parameters focusing on the explicit visual content from each individual image, i. e., the features from frozen patch embeddings and the input's high-frequency components.
CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying
Thanks to the proposed structure, we only encode the high-resolution image in a relatively low resolution for larger reception field capturing.
Brain Diffuser: An End-to-End Brain Image to Brain Network Pipeline
Brain network analysis is essential for diagnosing and intervention for Alzheimer's disease (AD).
A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement
In order to facilitate film-based image stylization research, we construct FilmSet, a large-scale and high-quality film style dataset.
WavEnhancer: Unifying Wavelet and Transformer for Image Enhancement
Image enhancement is a technique that frequently utilized in digital image processing.
ShaDocNet: Learning Spatial-Aware Tokens in Transformer for Document Shadow Removal
Shadow removal improves the visual quality and legibility of digital copies of documents.
Asymmetric Scalable Cross-modal Hashing
In addition, most of the existing methods choose to use an $n\times n$ similarity matrix for optimization, which makes the memory and computation unaffordable.
Arbitrary Style Transfer with Structure Enhancement by Combining the Global and Local Loss
To solve this problem, we introduce a novel arbitrary style transfer method with structure enhancement by combining the global and local loss.
Image Harmonization with Region-wise Contrastive Learning
Our method attempts to bring together corresponding positive and negative samples by maximizing the mutual information between the foreground and background styles, which desirably makes our harmonization network more robust to discriminate the foreground and background style features when harmonizing composite images.
Learning Enriched Illuminants for Cross and Single Sensor Color Constancy
Color constancy aims to restore the constant colors of a scene under different illuminants.
Spatial-Separated Curve Rendering Network for Efficient and High-Resolution Image Harmonization
To this end, we propose a novel spatial-separated curve rendering network(S$^2$CRNet) for efficient and high-resolution image harmonization for the first time.
Ranked #7 on
Image Harmonization
on iHarmony4
Deep Collaborative Multi-Modal Learning for Unsupervised Kinship Estimation
To this end, we propose a novel deep collaborative multi-modal learning (DCML) to integrate the underlying information presented in facial properties in an adaptive manner to strengthen the facial details for effective unsupervised kinship verification.
Kinship Verification Based on Cross-Generation Feature Interaction Learning
Specifically, we take parents and children as a whole to extract the expressive local and non-local features.
Personal Privacy Protection via Irrelevant Faces Tracking and Pixelation in Video Live Streaming
On the video live streaming dataset we collected, FPVLS obtains satisfying accuracy, real-time efficiency, and contains the over-pixelation problems.
Privacy-sensitive Objects Pixelation for Live Video Streaming
With the prevailing of live video streaming, establishing an online pixelation method for privacy-sensitive objects is an urgency.
News Image Steganography: A Novel Architecture Facilitates the Fake News Identification
A larger portion of fake news quotes untampered images from other sources with ulterior motives rather than conducting image forgery.
Split then Refine: Stacked Attention-guided ResUNets for Blind Single Image Visible Watermark Removal
Simultaneously, to increase the robustness of watermark, attacking technique, such as watermark removal, also gets the attention from the community.
Defocus Blur Detection via Depth Distillation
In detail, we learn the defocus blur from ground truth and the depth distilled from a well-trained depth estimation network at the same time.
Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
With the help of novel masks or scenes, we enhance the current datasets using synthesized shadow images.
Ranked #2 on
Shadow Removal
on ISTD
Improving the Harmony of the Composite Image by Spatial-Separated Attention Module
Thus, we address the problem of Image Harmonization: Given a spliced image and the mask of the spliced region, we try to harmonize the "style" of the pasted region with the background (non-spliced region).
Ranked #4 on
Image Harmonization
on HAdobe5k(1024$\times$1024)
Generating Minimal Adversarial Perturbations with Integrated Adaptive Gradients
Deep neural networks are easily fooled high confidence predictions for adversarial samples
Pixelation is NOT Done in Videos Yet
This paper introduces an algorithm to protect the privacy of individuals in streaming video data by blurring faces such that face cannot be reliably recognized.
Adaptive Gradient for Adversarial Perturbations Generation
Deep Neural Networks have achieved remarkable success in computer vision, natural language processing, and audio tasks.
Generating Adversarial Perturbation with Root Mean Square Gradient
We focus our attention on the problem of generating adversarial perturbations based on the gradient in image classification domain
Depth Assisted Full Resolution Network for Single Image-based View Synthesis
In this paper, we focus on a more challenging and ill-posed problem that is to synthesize novel viewpoints from one single input image.
