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08/12/2023
Semantic Equivariant Mixup
Mixup is a well-established data augmentation technique, which can exten...
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07/21/2023
Tuning Pre-trained Model via Moment Probing
Recently, efficient fine-tuning of large-scale pre-trained models has at...
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06/03/2023
Provable Dynamic Fusion for Low-Quality Multimodal Data
The inherent challenge of multimodal fusion is to precisely capture the ...
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06/02/2023
Calibrating Multimodal Learning
Multimodal machine learning has achieved remarkable progress in a wide r...
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04/11/2023
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification
Classifying incomplete multi-view data is inevitable since arbitrary vie...
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04/09/2023
Reweighted Mixup for Subpopulation Shift
Subpopulation shift exists widely in many real-world applications, which...
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03/23/2023
Fairness-guided Few-shot Prompting for Large Language Models
Large language models have demonstrated surprising ability to perform in...
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02/02/2023
MoE-Fusion: Instance Embedded Mixture-of-Experts for Infrared and Visible Image Fusion
Infrared and visible image fusion can compensate for the incompleteness ...
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12/13/2022
HS-Diffusion: Learning a Semantic-Guided Diffusion Model for Head Swapping
Image-based head swapping task aims to stitch a source head to another s...
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08/29/2022
Latent Heterogeneous Graph Network for Incomplete Multi-View Learning
Multi-view learning has progressed rapidly in recent years. Although man...
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07/05/2022
Class-Specific Semantic Reconstruction for Open Set Recognition
Open set recognition enables deep neural networks (DNNs) to identify sam...
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06/30/2022
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning
Deep learning models suffer from catastrophic forgetting when learning n...
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03/19/2022
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation
Semantic segmentation with limited annotations, such as weakly supervise...
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01/15/2022
Uncertainty-Aware Multi-View Representation Learning
Learning from different data views by exploring the underlying complemen...
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12/01/2021
Interactive Model with Structural Loss for Language-based Abductive Reasoning
The abductive natural language inference task (αNLI) is proposed to infe...
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11/11/2021
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions
Multimodal regression is a fundamental task, which integrates the inform...
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10/27/2021
Temporal-attentive Covariance Pooling Networks for Video Recognition
For video recognition task, a global representation summarizing the whol...
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07/30/2021
T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation
Most existing domain adaptation methods focus on adaptation from only on...
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07/19/2021
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Crowd counting on the drone platform is an interesting topic in computer...
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05/06/2021
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark
To promote the developments of object detection, tracking and counting a...
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11/12/2020
Deep Partial Multi-View Learning
Although multi-view learning has made signifificant progress over the pa...
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08/16/2020
SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning
Although significant progress achieved, multi-label classification is st...
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07/13/2020
Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification
Deep neural networks are highly effective when a large number of labeled...
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05/07/2020
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation
Deep learning-based object detection and instance segmentation have achi...
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04/26/2020
An Efficient Index Method for the Optimal Route Query over Multi-Cost Networks
Smart city has been consider the wave of the future and the route recomm...
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03/25/2020
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective
Recent works have demonstrated that global covariance pooling (GCP) has ...
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03/16/2020
Multi-Drone based Single Object Tracking with Agent Sharing Network
Drone equipped with cameras can dynamically track the target in the air ...
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01/16/2020
Vision Meets Drones: Past, Present and Future
Drones, or general UAVs, equipped with cameras have been fast deployed w...
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12/04/2019
Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network
This paper proposes a space-time multi-scale attention network (STANet) ...
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10/08/2019
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Channel attention has recently demonstrated to offer great potential in ...
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08/06/2019
Neural Blind Deconvolution Using Deep Priors
Blind deconvolution is a classical yet challenging low-level vision prob...
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08/06/2019
Multi-view Deep Subspace Clustering Networks
Multi-view subspace clustering aims to discover the inherent structure b...
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01/26/2019
Progressive Image Deraining Networks: A Better and Simpler Baseline
Along with the deraining performance improvement of deep networks, their...
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01/12/2019
Semi-interactive Attention Network for Answer Understanding in Reverse-QA
Question answering (QA) is an important natural language processing (NLP...
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12/11/2018
Unsupervised Degradation Learning for Single Image Super-Resolution
Deep Convolution Neural Networks (CNN) have achieved significant perform...
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09/21/2018
SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection
Data-driven saliency detection has attracted strong interest as a result...
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06/02/2018
Detecting Adversarial Examples via Key-based Network
Though deep neural networks have achieved state-of-the-art performance i...
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04/20/2018
Vision Meets Drones: A Challenge
In this paper we present a large-scale visual object detection and track...
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01/23/2014
Efficient Background Modeling Based on Sparse Representation and Outlier Iterative Removal
Background modeling is a critical component for various vision-based app...
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09/25/2012
