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Found 14 papers, 2 papers with code
DesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image Editing
Second, we propose an instruction-guided latent fusion that pastes the multi-layered latent representations onto a canvas latent.
Towards Blind Watermarking: Combining Invertible and Non-invertible Mechanisms
The CIN is composed of the invertible part to achieve high imperceptibility and the non-invertible part to strengthen the robustness against strong noise attacks.
Multi-Agent Automated Machine Learning
In this paper, we propose multi-agent automated machine learning (MA2ML) with the aim to effectively handle joint optimization of modules in automated machine learning (AutoML).
BBA-net: A bi-branch attention network for crowd counting
Our method can integrate the pedestrian's head and body information to enhance the feature expression ability of the density map.
Enhancing and Dissecting Crowd Counting By Synthetic Data
In this article, we propose a simulated crowd counting dataset CrowdX, which has a large scale, accurate labeling, parameterized realization, and high fidelity.
FFA-Net: Feature Fusion Attention Network for Single Image Dehazing
The FFA-Net architecture consists of three key components: 1) A novel Feature Attention (FA) module combines Channel Attention with Pixel Attention mechanism, considering that different channel-wise features contain totally different weighted information and haze distribution is uneven on the different image pixels.
Ranked #1 on
Image Dehazing
on KITTI
Single Image Blind Deblurring Using Multi-Scale Latent Structure Prior
Blind image deblurring is a challenging problem in computer vision, which aims to restore both the blur kernel and the latent sharp image from only a blurry observation.
Attention Driven Person Re-identification
Person re-identification (ReID) is a challenging task due to arbitrary human pose variations, background clutters, etc.
Trajectory Factory: Tracklet Cleaving and Re-connection by Deep Siamese Bi-GRU for Multiple Object Tracking
In this paper, we propose a novel tracklet processing method to cleave and re-connect tracklets on crowd or long-term occlusion by Siamese Bi-Gated Recurrent Unit (GRU).
Ranked #20 on
Multi-Object Tracking
on MOT16
Noise Level Estimation for Overcomplete Dictionary Learning Based on Tight Asymptotic Bounds
In this letter, we address the problem of estimating Gaussian noise level from the trained dictionaries in update stage.
Bayer Demosaicking Using Optimized Mean Curvature over RGB channels
Color artifacts of demosaicked images are often found at contours due to interpolation across edges and cross-channel aliasing.
Learning a collaborative multiscale dictionary based on robust empirical mode decomposition
The multiscale dictionary is considered as the product of oscillating dictionary and tolerance dictionary.
Correlation Preserving Sparse Coding Over Multi-level Dictionaries for Image Denoising
In this letter, we propose a novel image denoising method based on correlation preserving sparse coding.
Blind restoration for non-uniform aerial images using non-local Retinex model and shearlet-based higher-order regularization
Aerial images are often degraded by space-varying motion blur and simultaneous uneven illumination.
