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08/29/2023
MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection
Unsupervised anomaly detection (UAD) attracts a lot of research interest...
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08/28/2023
Cross-Modal Retrieval: A Systematic Review of Methods and Future Directions
With the exponential surge in diverse multi-modal data, traditional uni-...
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08/10/2023
Informative Scene Graph Generation via Debiasing
Scene graph generation aims to detect visual relationship triplets, (sub...
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08/09/2023
Generalized Unbiased Scene Graph Generation
Existing Unbiased Scene Graph Generation (USGG) methods only focus on ad...
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08/08/2023
Your Negative May not Be True Negative: Boosting Image-Text Matching with False Negative Elimination
Most existing image-text matching methods adopt triplet loss as the opti...
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08/08/2023
Unifying Two-Stream Encoders with Transformers for Cross-Modal Retrieval
Most existing cross-modal retrieval methods employ two-stream encoders w...
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08/07/2023
Part-Aware Transformer for Generalizable Person Re-identification
Domain generalization person re-identification (DG-ReID) aims to train a...
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08/03/2023
Feature Noise Boosts DNN Generalization under Label Noise
The presence of label noise in the training data has a profound impact o...
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07/16/2023
Holistic Prototype Attention Network for Few-Shot VOS
Few-shot video object segmentation (FSVOS) aims to segment dynamic objec...
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06/20/2023
A Universal Unbiased Method for Classification from Aggregate Observations
In conventional supervised classification, true labels are required for ...
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05/30/2023
AnoOnly: Semi-Supervised Anomaly Detection without Loss on Normal Data
Semi-supervised anomaly detection (SSAD) methods have demonstrated their...
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05/28/2023
Using Caterpillar to Nibble Small-Scale Images
Recently, MLP-based models have become popular and attained significant ...
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05/23/2023
Faster Video Moment Retrieval with Point-Level Supervision
Video Moment Retrieval (VMR) aims at retrieving the most relevant events...
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04/14/2023
Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement
Low-light image enhancement (LLIE) investigates how to improve illuminat...
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04/08/2023
Co-attention Propagation Network for Zero-Shot Video Object Segmentation
Zero-shot video object segmentation (ZS-VOS) aims to segment foreground ...
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04/04/2023
Attention Map Guided Transformer Pruning for Edge Device
Due to its significant capability of modeling long-range dependencies, v...
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03/23/2023
ScanERU: Interactive 3D Visual Grounding based on Embodied Reference Understanding
Aiming to link natural language descriptions to specific regions in a 3D...
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03/21/2023
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?
As ChatGPT goes viral, generative AI (AIGC, a.k.a AI-generated content) ...
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03/08/2023
Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual Alignment
Multimedia applications are often associated with cross-domain knowledge...
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02/23/2023
A Comprehensive Survey on Source-free Domain Adaptation
Over the past decade, domain adaptation has become a widely studied bran...
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12/26/2022
Semantic Enhanced Knowledge Graph for Large-Scale Zero-Shot Learning
Zero-Shot Learning has been a highlighted research topic in both vision ...
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11/17/2022
Visual Commonsense-aware Representation Network for Video Captioning
Generating consecutive descriptions for videos, i.e., Video Captioning, ...
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10/12/2022
A Lower Bound of Hash Codes' Performance
As a crucial approach for compact representation learning, hashing has a...
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07/16/2022
Dual-branch Hybrid Learning Network for Unbiased Scene Graph Generation
The current studies of Scene Graph Generation (SGG) focus on solving the...
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07/11/2022
Adaptive Fine-Grained Predicates Learning for Scene Graph Generation
The performance of current Scene Graph Generation (SGG) models is severe...
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06/21/2022
KE-RCNN: Unifying Knowledge based Reasoning into Part-level Attribute Parsing
Part-level attribute parsing is a fundamental but challenging task, whic...
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06/04/2022
From Pixels to Objects: Cubic Visual Attention for Visual Question Answering
Recently, attention-based Visual Question Answering (VQA) has achieved g...
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06/02/2022
Structured Two-stream Attention Network for Video Question Answering
To date, visual question answering (VQA) (i.e., image QA and video QA) i...
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05/24/2022
Thunder: Thumbnail based Fast Lightweight Image Denoising Network
To achieve promising results on removing noise from real-world images, m...
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05/19/2022
Support-set based Multi-modal Representation Enhancement for Video Captioning
Video captioning is a challenging task that necessitates a thorough comp...
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04/06/2022
Fine-Grained Predicates Learning for Scene Graph Generation
The performance of current Scene Graph Generation models is severely ham...
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03/21/2022
Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression
Modeling latent variables with priors and hyperpriors is an essential pr...
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03/09/2022
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation
In recent years, the adversarial vulnerability of deep neural networks (...
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02/22/2022
Relation Regularized Scene Graph Generation
Scene graph generation (SGG) is built on top of detected objects to pred...
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02/22/2022
One-shot Scene Graph Generation
As a structured representation of the image content, the visual scene gr...
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08/30/2021
From General to Specific: Informative Scene Graph Generation via Balance Adjustment
The scene graph generation (SGG) task aims to detect visual relationship...
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08/05/2021
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach
Learning from the web can ease the extreme dependence of deep learning o...
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08/02/2021
Adversarial Energy Disaggregation for Non-intrusive Load Monitoring
Energy disaggregation, also known as non-intrusive load monitoring (NILM...
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04/20/2021
Staircase Sign Method for Boosting Adversarial Attacks
Crafting adversarial examples for the transfer-based attack is challengi...
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12/31/2020
Patch-wise++ Perturbation for Adversarial Targeted Attacks
Although great progress has been made on adversarial attacks for deep ne...
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11/09/2020
Dual ResGCN for Balanced Scene GraphGeneration
Visual scene graph generation is a challenging task. Previous works have...
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10/07/2020
Universal Weighting Metric Learning for Cross-Modal Matching
Cross-modal matching has been a highlighted research topic in both visio...
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07/14/2020
Patch-wise Attack for Fooling Deep Neural Network
By adding human-imperceptible noise to clean images, the resultant adver...
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08/27/2019
Cooperative Cross-Stream Network for Discriminative Action Representation
Spatial and temporal stream model has gained great success in video acti...
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08/27/2019
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning
MixUp is an effective data augmentation method to regularize deep neural...
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08/27/2019
Temporal Reasoning Graph for Activity Recognition
Despite great success has been achieved in activity analysis, it still h...
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08/12/2019
Matching Images and Text with Multi-modal Tensor Fusion and Re-ranking
A major challenge in matching images and text is that they have intrinsi...
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06/16/2019
Deep Recurrent Quantization for Generating Sequential Binary Codes
Quantization has been an effective technology in ANN (approximate neares...
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06/16/2019
Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval
Product Quantization (PQ) has long been a mainstream for generating an e...
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05/12/2019