Search Results for author:
Found 22 papers, 14 papers with code
E4C: Enhance Editability for Text-Based Image Editing by Harnessing Efficient CLIP Guidance
Diffusion-based image editing is a composite process of preserving the source image content and generating new content or applying modifications.
Controllable Generation with Text-to-Image Diffusion Models: A Survey
In the rapidly advancing realm of visual generation, diffusion models have revolutionized the landscape, marking a significant shift in capabilities with their impressive text-guided generative functions.
Concept-centric Personalization with Large-scale Diffusion Priors
In this work, we present the task of customizing large-scale diffusion priors for specific concepts as concept-centric personalization.
Large-Scale Person Detection and Localization using Overhead Fisheye Cameras
Instead of existing efforts devoted to localizing tourist photos captured by perspective cameras, in this article, we focus on devising person positioning solutions using overhead fisheye cameras.
CoT-MISR:Marrying Convolution and Transformer for Multi-Image Super-Resolution
How to transform a low-resolution image to restore its high-resolution image information is a problem that researchers have been exploring.
Faster Learning of Temporal Action Proposal via Sparse Multilevel Boundary Generator
Temporal action localization in videos presents significant challenges in the field of computer vision.
What Decreases Editing Capability? Domain-Specific Hybrid Refinement for Improved GAN Inversion
To tackle this problem, we introduce Domain-Specific Hybrid Refinement (DHR), which draws on the advantages and disadvantages of two mainstream refinement techniques to maintain editing ability with fidelity improvement.
Deep Learning Technique for Human Parsing: A Survey and Outlook
Human parsing aims to partition humans in image or video into multiple pixel-level semantic parts.
UV R-CNN: Stable and Efficient Dense Human Pose Estimation
Dense pose estimation is a dense 3D prediction task for instance-level human analysis, aiming to map human pixels from an RGB image to a 3D surface of the human body.
TIVE: A Toolbox for Identifying Video Instance Segmentation Errors
More importantly, as the fundamental model abilities demanded by the task, spatial segmentation and temporal association are still understudied in both evaluation and interaction mechanisms.
LSAP: Rethinking Inversion Fidelity, Perception and Editability in GAN Latent Space
In this work, we first point out that these two characteristics are related to the degree of alignment (or disalignment) of the inverse codes with the synthetic distribution.
SGM-Net: Semantic Guided Matting Net
When the green screen is not available, the existing human matting methods need the help of additional inputs (such as trimap, background image, etc.
A Survey on Long-Tailed Visual Recognition
Data quality directly dominates the effect of deep learning models, and the long-tailed distribution is one of the factors affecting data quality.
Quality-Aware Network for Face Parsing
This is a very short technical report, which introduces the solution of the Team BUPT-CASIA for Short-video Face Parsing Track of The 3rd Person in Context (PIC) Workshop and Challenge at CVPR 2021.
CAT: Cross Attention in Vision Transformer
In this paper, we propose a new attention mechanism in Transformer termed Cross Attention, which alternates attention inner the image patch instead of the whole image to capture local information and apply attention between image patches which are divided from single-channel feature maps capture global information.
Quality-Aware Network for Human Parsing
How to estimate the quality of the network output is an important issue, and currently there is no effective solution in the field of human parsing.
Renovating Parsing R-CNN for Accurate Multiple Human Parsing
Multiple human parsing aims to segment various human parts and associate each part with the corresponding instance simultaneously.
CPM R-CNN: Calibrating Point-guided Misalignment in Object Detection
In object detection, offset-guided and point-guided regression dominate anchor-based and anchor-free method separately.
High-speed Railway Fastener Detection and Localization Method based on convolutional neural network
Railway transportation is the artery of China's national economy and plays an important role in the development of today's society.
Detector-in-Detector: Multi-Level Analysis for Human-Parts
In particular, we adopt a region-based object detection structure with two carefully designed detectors to separately pay attention to the human body and body parts in a coarse-to-fine manner, which we call Detector-in-Detector network (DID-Net).
Parsing R-CNN for Instance-Level Human Analysis
Models need to distinguish different human instances in the image panel and learn rich features to represent the details of each instance.
Ranked #1 on
Pose Estimation
on DensePose-COCO
Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network
So, it is important to study how face recognition networks are subject to attacks.
