research
∙
09/07/2023
Region Generation and Assessment Network for Occluded Person Re-Identification
Person Re-identification (ReID) plays a more and more crucial role in re...
share
research
∙
07/20/2023
Gradient-Semantic Compensation for Incremental Semantic Segmentation
Incremental semantic segmentation aims to continually learn the segmenta...
research
∙
07/04/2023
AdAM: Few-Shot Image Generation via Adaptation-Aware Kernel Modulation
Few-shot image generation (FSIG) aims to learn to generate new and diver...
research
∙
06/19/2023
Primitive Generation and Semantic-related Alignment for Universal Zero-Shot Segmentation
We study universal zero-shot segmentation in this work to achieve panopt...
research
∙
05/22/2023
Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation
Zero-shot instance segmentation aims to detect and precisely segment obj...
research
∙
04/19/2023
Transformer-Based Visual Segmentation: A Survey
Visual segmentation seeks to partition images, video frames, or point cl...
research
∙
04/10/2023
Federated Incremental Semantic Segmentation
Federated learning-based semantic segmentation (FSS) has drawn widesprea...
research
∙
03/28/2023
Mask-Free Video Instance Segmentation
The recent advancement in Video Instance Segmentation (VIS) has largely ...
research
∙
01/02/2023
Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation
In this work, we focus on instance-level open vocabulary segmentation, i...
research
∙
09/20/2022
Towards Robust Referring Image Segmentation
Referring Image Segmentation (RIS) aims to connect image and language vi...
research
∙
07/28/2022
Video Mask Transfiner for High-Quality Video Instance Segmentation
While Video Instance Segmentation (VIS) has seen rapid progress, current...
research
∙
07/26/2022
Tracking Every Thing in the Wild
Current multi-category Multiple Object Tracking (MOT) metrics use class ...
research
∙
06/02/2022
Distilling Knowledge from Object Classification to Aesthetics Assessment
In this work, we point out that the major dilemma of image aesthetics as...
research
∙
05/25/2022
Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives
Numerous advancements in deep learning can be attributed to the access t...
research
∙
05/20/2022
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging
In coded aperture snapshot spectral compressive imaging (CASSI) systems,...
research
∙
05/08/2022
A Closer Look at Few-shot Image Generation
Modern GANs excel at generating high quality and diverse images. However...
research
∙
04/07/2022
Coarse-to-Fine Feature Mining for Video Semantic Segmentation
The contextual information plays a core role in semantic segmentation. A...
research
∙
01/06/2022
Flow-Guided Sparse Transformer for Video Deblurring
Exploiting similar and sharper scene patches in spatio-temporal neighbor...
research
∙
12/18/2021
Time-Aware Neighbor Sampling for Temporal Graph Networks
We present a new neighbor sampling method on temporal graphs. In a tempo...
research
∙
12/01/2021
Structure-Aware Label Smoothing for Graph Neural Networks
Representing a label distribution as a one-hot vector is a common practi...
research
∙
09/13/2021
Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning
Few-shot learning aims to adapt knowledge learned from previous tasks to...
research
∙
08/29/2021
Calibrating Class Activation Maps for Long-Tailed Visual Recognition
Real-world visual recognition problems often exhibit long-tailed distrib...
research
∙
08/19/2021
Few-shot Segmentation with Optimal Transport Matching and Message Flow
We address the challenging task of few-shot segmentation in this work. I...
research
∙
08/11/2021
Few-Shot Segmentation with Global and Local Contrastive Learning
In this work, we address the challenging task of few-shot segmentation. ...
research
∙
08/05/2021
M2IOSR: Maximal Mutual Information Open Set Recognition
In this work, we aim to address the challenging task of open set recogni...
research
∙
07/28/2021
Improving Video Instance Segmentation via Temporal Pyramid Routing
Video Instance Segmentation (VIS) is a new and inherently multi-task pro...
research
∙
07/05/2021
Recovering the Unbiased Scene Graphs from the Biased Ones
Given input images, scene graph generation (SGG) aims to produce compreh...
research
∙
03/27/2021
MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis
In this paper, we propose MINE to perform novel view synthesis and depth...
research
∙
02/20/2020
Object 6D Pose Estimation with Non-local Attention
In this paper, we address the challenging task of estimating 6D object p...
research
∙
02/20/2020
Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation
Accurate segmentation of skin lesion from dermoscopic images is a crucia...
research
∙
09/05/2019
Semantic Correlation Promoted Shape-Variant Context for Segmentation
Context is essential for semantic segmentation. Due to the diverse shape...
research
∙
08/31/2019
Boundary-Aware Feature Propagation for Scene Segmentation
In this work, we address the challenging issue of scene segmentation. To...
research
∙
01/15/2019
