b'Heng Tao Shen'

research

∙ 08/29/2023

MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection

Unsupervised anomaly detection (UAD) attracts a lot of research interest...

0 Yixuan Zhou, et al. ∙

research

∙ 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-...

0 Lei Zhu, et al. ∙

research

∙ 08/10/2023

Informative Scene Graph Generation via Debiasing

Scene graph generation aims to detect visual relationship triplets, (sub...

0 Lianli Gao, et al. ∙

research

∙ 08/09/2023

Generalized Unbiased Scene Graph Generation

Existing Unbiased Scene Graph Generation (USGG) methods only focus on ad...

0 Xinyu Lyu, et al. ∙

research

∙ 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...

0 Haoxuan Li, et al. ∙

research

∙ 08/08/2023

Unifying Two-Stream Encoders with Transformers for Cross-Modal Retrieval

Most existing cross-modal retrieval methods employ two-stream encoders w...

0 Yi Bin, et al. ∙

research

∙ 08/07/2023

Part-Aware Transformer for Generalizable Person Re-identification

Domain generalization person re-identification (DG-ReID) aims to train a...

0 Hao Ni, et al. ∙

research

∙ 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...

0 Lu Zeng, et al. ∙

research

∙ 07/16/2023

Holistic Prototype Attention Network for Few-Shot VOS

Few-shot video object segmentation (FSVOS) aims to segment dynamic objec...

0 Yin Tang, et al. ∙

research

∙ 06/20/2023

A Universal Unbiased Method for Classification from Aggregate Observations

In conventional supervised classification, true labels are required for ...

0 Zixi Wei, et al. ∙

research

∙ 05/30/2023

AnoOnly: Semi-Supervised Anomaly Detection without Loss on Normal Data

Semi-supervised anomaly detection (SSAD) methods have demonstrated their...

0 Yixuan Zhou, et al. ∙

research

∙ 05/28/2023

Using Caterpillar to Nibble Small-Scale Images

Recently, MLP-based models have become popular and attained significant ...

0 Jin Sun, et al. ∙

research

∙ 05/23/2023

Faster Video Moment Retrieval with Point-Level Supervision

Video Moment Retrieval (VMR) aims at retrieving the most relevant events...

0 Xun Jiang, et al. ∙

research

∙ 04/14/2023

Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement

Low-light image enhancement (LLIE) investigates how to improve illuminat...

1 Yuhui Wu, et al. ∙

research

∙ 04/08/2023

Co-attention Propagation Network for Zero-Shot Video Object Segmentation

Zero-shot video object segmentation (ZS-VOS) aims to segment foreground ...

0 Gensheng Pei, et al. ∙

research

∙ 04/04/2023

Attention Map Guided Transformer Pruning for Edge Device

Due to its significant capability of modeling long-range dependencies, v...

0 Junzhu Mao, et al. ∙

research

∙ 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...

0 Ziyang Lu, et al. ∙

research

∙ 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) ...

0 Chaoning Zhang, et al. ∙

research

∙ 03/08/2023

Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual Alignment

Multimedia applications are often associated with cross-domain knowledge...

0 Jinghan Ru, et al. ∙

research

∙ 02/23/2023

A Comprehensive Survey on Source-free Domain Adaptation

Over the past decade, domain adaptation has become a widely studied bran...

0 Zhiqi Yu, et al. ∙

research

∙ 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 ...

0 Jiwei Wei, et al. ∙

research

∙ 11/17/2022

Visual Commonsense-aware Representation Network for Video Captioning

Generating consecutive descriptions for videos, i.e., Video Captioning, ...

0 Pengpeng Zeng, et al. ∙

research

∙ 10/12/2022

A Lower Bound of Hash Codes' Performance

As a crucial approach for compact representation learning, hashing has a...

0 Xiaosu Zhu, et al. ∙

research

∙ 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...

0 Chaofan Zheng, et al. ∙

research

∙ 07/11/2022

Adaptive Fine-Grained Predicates Learning for Scene Graph Generation

The performance of current Scene Graph Generation (SGG) models is severe...

0 Xinyu Lyu, et al. ∙

research

∙ 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...

0 Xuanhan Wang, et al. ∙

research

∙ 06/04/2022

From Pixels to Objects: Cubic Visual Attention for Visual Question Answering

Recently, attention-based Visual Question Answering (VQA) has achieved g...

0 Jingkuan Song, et al. ∙

research

∙ 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...

0 Lianli Gao, et al. ∙

research

∙ 05/24/2022

Thunder: Thumbnail based Fast Lightweight Image Denoising Network

To achieve promising results on removing noise from real-world images, m...

11 Yifeng Zhou, et al. ∙

research

∙ 05/19/2022

Support-set based Multi-modal Representation Enhancement for Video Captioning

Video captioning is a challenging task that necessitates a thorough comp...

0 Xiaoya Chen, et al. ∙

research

∙ 04/06/2022

Fine-Grained Predicates Learning for Scene Graph Generation

The performance of current Scene Graph Generation models is severely ham...

0 Xinyu Lyu, et al. ∙

research

∙ 03/21/2022

Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression

Modeling latent variables with priors and hyperpriors is an essential pr...

4 Xiaosu Zhu, et al. ∙

research

∙ 03/09/2022

Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation

In recent years, the adversarial vulnerability of deep neural networks (...

1 Qilong Zhang, et al. ∙

research

∙ 02/22/2022

Relation Regularized Scene Graph Generation

Scene graph generation (SGG) is built on top of detected objects to pred...

0 Yuyu Guo, et al. ∙

research

∙ 02/22/2022

One-shot Scene Graph Generation

As a structured representation of the image content, the visual scene gr...

0 Yuyu Guo, et al. ∙

research

∙ 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...

2 Yuyu Guo, et al. ∙

research

∙ 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...

5 Zeren Sun, et al. ∙

research

∙ 08/02/2021

Adversarial Energy Disaggregation for Non-intrusive Load Monitoring

Energy disaggregation, also known as non-intrusive load monitoring (NILM...

0 Zhekai Du, et al. ∙

research

∙ 04/20/2021

Staircase Sign Method for Boosting Adversarial Attacks

Crafting adversarial examples for the transfer-based attack is challengi...

0 Lianli Gao, et al. ∙

research

∙ 12/31/2020

Patch-wise++ Perturbation for Adversarial Targeted Attacks

Although great progress has been made on adversarial attacks for deep ne...

14 Lianli Gao, et al. ∙

research

∙ 11/09/2020

Dual ResGCN for Balanced Scene GraphGeneration

Visual scene graph generation is a challenging task. Previous works have...

0 Jingyi Zhang, et al. ∙

research

∙ 10/07/2020

Universal Weighting Metric Learning for Cross-Modal Matching

Cross-modal matching has been a highlighted research topic in both visio...

5 Jiwei Wei, et al. ∙

research

∙ 07/14/2020

Patch-wise Attack for Fooling Deep Neural Network

By adding human-imperceptible noise to clean images, the resultant adver...

12 Lianli Gao, et al. ∙

research

∙ 08/27/2019

Cooperative Cross-Stream Network for Discriminative Action Representation

Spatial and temporal stream model has gained great success in video acti...

17 Jingran Zhang, et al. ∙

research

∙ 08/27/2019

MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning

MixUp is an effective data augmentation method to regularize deep neural...

20 Zhijun Mai, et al. ∙

research

∙ 08/27/2019

Temporal Reasoning Graph for Activity Recognition

Despite great success has been achieved in activity analysis, it still h...

38 Jingran Zhang, et al. ∙

research

∙ 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...

8 Tan Wang, et al. ∙

research

∙ 06/16/2019

Deep Recurrent Quantization for Generating Sequential Binary Codes

Quantization has been an effective technology in ANN (approximate neares...

2 Jingkuan Song, et al. ∙

research

∙ 06/16/2019

Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval

Product Quantization (PQ) has long been a mainstream for generating an e...

13 Lianli Gao, et al. ∙

research

∙ 05/12/2019

One-Shot Image-to-Image Translation via Part-Global Learning with a Multi-adversarial Framework

It is well known that humans can learn and recognize objects effectively...

0 Ziqiang Zheng, et al. ∙

Heng Tao Shen

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