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08/30/2023
Semi-supervised Domain Adaptation with Inter and Intra-domain Mixing for Semantic Segmentation
Despite recent advances in semantic segmentation, an inevitable challeng...
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08/23/2023
A Unified Framework for 3D Point Cloud Visual Grounding
3D point cloud visual grounding plays a critical role in 3D scene compre...
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08/01/2023
PVG: Progressive Vision Graph for Vision Recognition
Convolution-based and Transformer-based vision backbone networks process...
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07/31/2023
Transferable Decoding with Visual Entities for Zero-Shot Image Captioning
Image-to-text generation aims to describe images using natural language....
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07/12/2023
RFENet: Towards Reciprocal Feature Evolution for Glass Segmentation
Glass-like objects are widespread in daily life but remain intractable t...
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05/30/2023
Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection
Change detection is a widely adopted technique in remote sense imagery (...
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05/19/2023
Learning Global-aware Kernel for Image Harmonization
Image harmonization aims to solve the visual inconsistency problem in co...
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05/04/2023
High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning
Recently, emotional talking face generation has received considerable at...
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04/20/2023
Clustered-patch Element Connection for Few-shot Learning
Weak feature representation problem has influenced the performance of fe...
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04/17/2023
NeRF-Loc: Visual Localization with Conditional Neural Radiance Field
We propose a novel visual re-localization method based on direct matchin...
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04/07/2023
Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution
Most of the existing blind image Super-Resolution (SR) methods assume th...
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03/26/2023
Learning Versatile 3D Shape Generation with Improved AR Models
Auto-Regressive (AR) models have achieved impressive results in 2D image...
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03/01/2023
Multimodal Industrial Anomaly Detection via Hybrid Fusion
2D-based Industrial Anomaly Detection has been widely discussed, however...
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01/31/2023
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing
Image anomaly detection (IAD) is an emerging and vital computer vision t...
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01/27/2023
Deep Industrial Image Anomaly Detection: A Survey
The recent rapid development of deep learning has laid a milestone in in...
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01/03/2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
Few Shot Instance Segmentation (FSIS) requires models to detect and segm...
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11/29/2022
PatchMix Augmentation to Identify Causal Features in Few-shot Learning
The task of Few-shot learning (FSL) aims to transfer the knowledge learn...
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11/18/2022
Delving into Transformer for Incremental Semantic Segmentation
Incremental semantic segmentation(ISS) is an emerging task where old mod...
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11/02/2022
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective
Few-shot learning problem focuses on recognizing unseen classes given a ...
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11/02/2022
tSF: Transformer-based Semantic Filter for Few-Shot Learning
Few-Shot Learning (FSL) alleviates the data shortage challenge via embed...
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09/20/2022
Rethinking Dimensionality Reduction in Grid-based 3D Object Detection
Bird's eye view (BEV) is widely adopted by most of the current point clo...
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09/16/2022
An Extrinsic Calibration Method of a 3D-LiDAR and a Pose Sensor for Autonomous Driving
Accurate and reliable sensor calibration is critical for fusing LiDAR an...
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08/29/2022
Joint Learning Content and Degradation Aware Feature for Blind Super-Resolution
To achieve promising results on blind image super-resolution (SR), some ...
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07/27/2022
Multi-Forgery Detection Challenge 2022: Push the Frontier of Unconstrained and Diverse Forgery Detection
In this paper, we present the Multi-Forgery Detection Challenge held con...
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07/21/2022
SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer
Point cloud completion has become increasingly popular among generation ...
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07/18/2022
Adaptive Assignment for Geometry Aware Local Feature Matching
Local image feature matching, aiming to identify and correspond similar ...
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07/14/2022
Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation
Unsupervised Domain Adaptation (UDA) aims to adapt the model trained on ...
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06/19/2022
EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm
Motivated by biological evolution, this paper explains the rationality o...
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06/15/2022
How to Reduce Change Detection to Semantic Segmentation
Change detection (CD) aims to identify changes that occur in an image pa...
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05/29/2022
IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation
Prevailing video frame interpolation algorithms, that generate the inter...
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05/27/2022
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
Accurate sensor calibration is a prerequisite for multi-sensor perceptio...
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05/11/2022
Surface Representation for Point Clouds
Most prior work represents the shapes of point clouds by coordinates. Ho...
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03/22/2022
High-resolution Iterative Feedback Network for Camouflaged Object Detection
Spotting camouflaged objects that are visually assimilated into the back...
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03/16/2022
CtlGAN: Few-shot Artistic Portraits Generation with Contrastive Transfer Learning
Generating artistic portraits is a challenging problem in computer visio...
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03/11/2022
Learning Distinctive Margin toward Active Domain Adaptation
Despite plenty of efforts focusing on improving the domain adaptation ab...
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03/04/2022
Class-Aware Contrastive Semi-Supervised Learning
Pseudo-label-based semi-supervised learning (SSL) has achieved great suc...
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02/14/2022
A Survey of Visual Sensory Anomaly Detection
Visual sensory anomaly detection (AD) is an essential problem in compute...
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01/13/2022
CFNet: Learning Correlation Functions for One-Stage Panoptic Segmentation
Recently, there is growing attention on one-stage panoptic segmentation ...
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12/10/2021
LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) aims to learn object locali...
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12/01/2021
Ranking Distance Calibration for Cross-Domain Few-Shot Learning
Recent progress in few-shot learning promotes a more realistic cross-dom...
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11/24/2021
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation
Few-shot semantic segmentation aims to segment novel-class objects in a ...
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10/19/2021
LSTC: Boosting Atomic Action Detection with Long-Short-Term Context
In this paper, we place the atomic action detection problem into a Long-...
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07/27/2021
Rethinking Counting and Localization in Crowds:A Purely Point-Based Framework
Localizing individuals in crowds is more in accordance with the practica...
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07/27/2021
Uniformity in Heterogeneity:Diving Deep into Count Interval Partition for Crowd Counting
Recently, the problem of inaccurate learning targets in crowd counting d...
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06/18/2021
HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping
In this work, we propose a high fidelity face swapping method, called Hi...
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06/15/2021
Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection
Non-parametric face modeling aims to reconstruct 3D face only from image...
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06/14/2021
Context-Aware Image Inpainting with Learned Semantic Priors
Recent advances in image inpainting have shown impressive results for ge...
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05/31/2021
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model
Inspired by biological evolution, we explain the rationality of Vision T...
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05/24/2021
SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking
Recently, most siamese network based trackers locate targets via object ...
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04/19/2021