b'Jin Tang'

research

∙ 08/08/2023

SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition

Event camera-based pattern recognition is a newly arising research topic...

0 Xiao Wang, et al. ∙

research

∙ 06/08/2023

Point-Voxel Absorbing Graph Representation Learning for Event Stream based Recognition

Sampled point and voxel methods are usually employed to downsample the d...

4 Bo Jiang, et al. ∙

research

∙ 05/30/2023

AMatFormer: Efficient Feature Matching via Anchor Matching Transformer

Learning based feature matching methods have been commonly studied in re...

3 Bo Jiang, et al. ∙

research

∙ 05/25/2023

Multi-query Vehicle Re-identification: Viewpoint-conditioned Network, Unified Dataset and New Metric

Existing vehicle re-identification methods mainly rely on the single que...

0 Aihua Zheng, et al. ∙

research

∙ 05/25/2023

Dynamic Enhancement Network for Partial Multi-modality Person Re-identification

Many existing multi-modality studies are based on the assumption of moda...

0 Aihua Zheng, et al. ∙

research

∙ 05/12/2023

AGFormer: Efficient Graph Representation with Anchor-Graph Transformer

To alleviate the local receptive issue of GCN, Transformers have been ex...

0 Bo Jiang, et al. ∙

research

∙ 03/26/2023

RGBT Tracking via Progressive Fusion Transformer with Dynamically Guided Learning

Existing Transformer-based RGBT tracking methods either use cross-attent...

0 Yabin Zhu, et al. ∙

research

∙ 12/31/2022

An end-to-end multi-scale network for action prediction in videos

In this paper, we develop an efficient multi-scale network to predict ac...

0 Xiaofa Liu, et al. ∙

research

∙ 10/08/2022

Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts

In this paper, we tackle the problem of domain shift. Most existing meth...

0 Tao Zhong, et al. ∙

research

∙ 09/25/2022

Hand Hygiene Assessment via Joint Step Segmentation and Key Action Scorer

Hand hygiene is a standard six-step hand-washing action proposed by the ...

0 Chenglong Li, et al. ∙

research

∙ 09/22/2022

Detecting Rotated Objects as Gaussian Distributions and Its 3-D Generalization

Existing detection methods commonly use a parameterized bounding box (BB...

4 Xue Yang, et al. ∙

research

∙ 08/01/2022

Multi-spectral Vehicle Re-identification with Cross-directional Consistency Network and a High-quality Benchmark

To tackle the challenge of vehicle re-identification (Re-ID) in complex ...

0 Aihua Zheng, et al. ∙

research

∙ 07/25/2022

Error-Aware Spatial Ensembles for Video Frame Interpolation

Video frame interpolation (VFI) algorithms have improved considerably in...

9 Zhixiang Chi, et al. ∙

research

∙ 06/02/2022

Disentangled Generation Network for Enlarged License Plate Recognition and A Unified Dataset

License plate recognition plays a critical role in many practical applic...

0 Chenglong Li, et al. ∙

research

∙ 05/19/2022

Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search

Existing trackers usually select a location or proposal with the maximum...

11 Xiao Wang, et al. ∙

research

∙ 05/08/2022

Past and Future Motion Guided Network for Audio Visual Event Localization

In recent years, audio-visual event localization has attracted much atte...

0 Tingxiu Chen, et al. ∙

research

∙ 02/22/2022

Universal adversarial perturbation for remote sensing images

Recently, with the application of deep learning in the remote sensing im...

0 Zhaoxia Yin, et al. ∙

research

∙ 02/11/2022

Tiny Object Tracking: A Large-scale Dataset and A Baseline

Tiny objects, frequently appearing in practical applications, have weak ...

0 Yabin Zhu, et al. ∙

research

∙ 09/24/2021

On the Robustness of "Robust reversible data hiding scheme based on two-layer embedding strategy"

In the paper "Robust reversible data hiding scheme based on two-layer em...

0 Wen Yin, et al. ∙

research

∙ 04/27/2021

LasHeR: A Large-scale High-diversity Benchmark for RGBT Tracking

RGBT tracking receives a surge of interest in the computer vision commun...

6 Chenglong Li, et al. ∙

research

∙ 04/11/2021

Temporal Consistency Two-Stream CNN for Human Motion Prediction

Fusion is critical for a two-stream network. In this paper, we propose a...

0 Jin Tang, et al. ∙

research

∙ 01/19/2021

PICA: A Pixel Correlation-based Attentional Black-box Adversarial Attack

The studies on black-box adversarial attacks have become increasingly pr...

16 Jie Wang, et al. ∙

research

∙ 01/15/2021

Image Enhancement using Fuzzy Intensity Measure and Adaptive Clipping Histogram Equalization

Image enhancement aims at processing an input image so that the visual c...

13 Xiangyuan Zhu, et al. ∙

research

∙ 11/18/2020

Viewpoint-aware Progressive Clustering for Unsupervised Vehicle Re-identification

Vehicle re-identification (Re-ID) is an active task due to its importanc...

0 Aihua Zheng, et al. ∙

research

∙ 11/14/2020

RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss

RGBT tracking has attracted increasing attention since RGB and thermal i...

7 Andong Lu, et al. ∙

research

∙ 11/14/2020

Duality-Gated Mutual Condition Network for RGBT Tracking

Low-quality modalities contain not only a lot of noisy information but a...

0 Andong Lu, et al. ∙

research

∙ 07/26/2020

Challenge-Aware RGBT Tracking

RGB and thermal source data suffer from both shared and specific challen...

0 Chenglong Li, et al. ∙

research

∙ 07/23/2020

All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling

Recent advances in high refresh rate displays as well as the increased i...

7 Zhixiang Chi, et al. ∙

research

∙ 07/08/2020

Reversible data hiding in encrypted images based on pixel prediction and multi-MSB planes rearrangement

Great concern has arisen in the field of reversible data hiding in encry...

0 Zhaoxia Yin, et al. ∙

research

∙ 05/05/2020

Multi-interactive Encoder-decoder Network for RGBT Salient Object Detection

RGBT salient object detection (SOD) aims to segment the common prominent...

0 Zhengzheng Tu, et al. ∙

research

∙ 04/28/2020

SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

Small and cluttered objects are common in real-world which are challengi...

29 Xue Yang, et al. ∙

research

∙ 03/17/2020

M^5L: Multi-Modal Multi-Margin Metric Learning for RGBT Tracking

Classifying the confusing samples in the course of RGBT tracking is a qu...

0 Zhengzheng Tu, et al. ∙

research

∙ 03/01/2020

FMT:Fusing Multi-task Convolutional Neural Network for Person Search

Person search is to detect all persons and identify the query persons fr...

0 Sulan Zhai, et al. ∙

research

∙ 12/21/2019

cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks

Image salient object detection (SOD) is an active research topic in comp...

8 Bo Jiang, et al. ∙

research

∙ 11/24/2019

AttKGCN: Attribute Knowledge Graph Convolutional Network for Person Re-identification

Discriminative feature representation of person image is important for p...

23 Bo Jiang, et al. ∙

research

∙ 11/18/2019

GLMNet: Graph Learning-Matching Networks for Feature Matching

Recently, graph convolutional networks (GCNs) have shown great potential...

0 Bo Jiang, et al. ∙

research

∙ 10/15/2019

Trajectorylet-Net: a novel framework for pose prediction based on trajectorylet descriptors

Pose prediction is an increasingly interesting topic in computer vision ...

0 Xiaoli Liu, et al. ∙

research

∙ 08/14/2019

Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network

Graph Convolutional Networks (GCNs) have been widely studied for compact...

0 Bo Jiang, et al. ∙

research

∙ 08/12/2019

Learning Target-oriented Dual Attention for Robust RGB-T Tracking

RGB-Thermal object tracking attempt to locate target object using comple...

2 Rui Yang, et al. ∙

research

∙ 08/07/2019

Edge-guided Non-local Fully Convolutional Network for Salient Object Detection

Fully Convolutional Neural Network (FCN) has been widely applied to sali...

3 Zhengzheng Tu, et al. ∙

research

∙ 08/05/2019

Learning Compact Target-Oriented Feature Representations for Visual Tracking

Many state-of-the-art trackers usually resort to the pretrained convolut...

0 Chenglong Li, et al. ∙

research

∙ 07/24/2019

Dense Feature Aggregation and Pruning for RGBT Tracking

How to perform effective information fusion of different modalities is a...

5 Yabin Zhu, et al. ∙

research

∙ 07/24/2019

Segmenting Objects in Day and Night:Edge-Conditioned CNN for Thermal Image Semantic Segmentation

Despite much research progress in image semantic segmentation, it remain...

6 Chenglong Li, et al. ∙

research

∙ 07/17/2019

Multi-Adapter RGBT Tracking

The task of RGBT tracking aims to take the complementary advantages from...

4 Chenglong Li, et al. ∙

research

∙ 05/23/2019

An Improved Reversible Data Hiding in Encrypted Images using Parametric Binary Tree Labeling

This work proposes an improved reversible data hiding scheme in encrypte...

0 Youqing Wu, et al. ∙

research

∙ 05/22/2019

Attributes Guided Feature Learning for Vehicle Re-identification

Vehicle Re-ID has recently attracted enthusiastic attention due to its p...

2 Aihua Zheng, et al. ∙

research

∙ 05/16/2019

RGB-T Image Saliency Detection via Collaborative Graph Learning

Image saliency detection is an active research topic in the community of...

1 Zhengzheng Tu, et al. ∙

research

∙ 05/06/2019

Improved Hard Example Mining by Discovering Attribute-based Hard Person Identity

In this paper, we propose Hard Person Identity Mining (HPIM) that attemp...

0 Xiao Wang, et al. ∙

research

∙ 04/26/2019

Graph Optimized Convolutional Networks

Graph Convolutional Networks (GCNs) have been widely studied for graph d...

0 Bo Jiang, et al. ∙

research

∙ 01/22/2019

Pedestrian Attribute Recognition: A Survey

Recognizing pedestrian attributes is an important task in computer visio...

0 Xiao Wang, et al. ∙

Jin Tang

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