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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...
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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...
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05/30/2023
AMatFormer: Efficient Feature Matching via Anchor Matching Transformer
Learning based feature matching methods have been commonly studied in re...
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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...
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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...
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05/12/2023
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer
To alleviate the local receptive issue of GCN, Transformers have been ex...
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03/26/2023
RGBT Tracking via Progressive Fusion Transformer with Dynamically Guided Learning
Existing Transformer-based RGBT tracking methods either use cross-attent...
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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...
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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...
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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 ...
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09/22/2022
Detecting Rotated Objects as Gaussian Distributions and Its 3-D Generalization
Existing detection methods commonly use a parameterized bounding box (BB...
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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 ...
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07/25/2022
Error-Aware Spatial Ensembles for Video Frame Interpolation
Video frame interpolation (VFI) algorithms have improved considerably in...
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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...
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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...
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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...
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02/22/2022
Universal adversarial perturbation for remote sensing images
Recently, with the application of deep learning in the remote sensing im...
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02/11/2022
Tiny Object Tracking: A Large-scale Dataset and A Baseline
Tiny objects, frequently appearing in practical applications, have weak ...
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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...
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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...
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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...
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01/19/2021
PICA: A Pixel Correlation-based Attentional Black-box Adversarial Attack
The studies on black-box adversarial attacks have become increasingly pr...
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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...
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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...
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11/14/2020
RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss
RGBT tracking has attracted increasing attention since RGB and thermal i...
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11/14/2020
Duality-Gated Mutual Condition Network for RGBT Tracking
Low-quality modalities contain not only a lot of noisy information but a...
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07/26/2020
Challenge-Aware RGBT Tracking
RGB and thermal source data suffer from both shared and specific challen...
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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...
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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...
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05/05/2020
Multi-interactive Encoder-decoder Network for RGBT Salient Object Detection
RGBT salient object detection (SOD) aims to segment the common prominent...
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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...
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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...
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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...
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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...
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11/24/2019
AttKGCN: Attribute Knowledge Graph Convolutional Network for Person Re-identification
Discriminative feature representation of person image is important for p...
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11/18/2019
GLMNet: Graph Learning-Matching Networks for Feature Matching
Recently, graph convolutional networks (GCNs) have shown great potential...
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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 ...
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08/14/2019
Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network
Graph Convolutional Networks (GCNs) have been widely studied for compact...
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08/12/2019
Learning Target-oriented Dual Attention for Robust RGB-T Tracking
RGB-Thermal object tracking attempt to locate target object using comple...
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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...
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08/05/2019
Learning Compact Target-Oriented Feature Representations for Visual Tracking
Many state-of-the-art trackers usually resort to the pretrained convolut...
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07/24/2019
Dense Feature Aggregation and Pruning for RGBT Tracking
How to perform effective information fusion of different modalities is a...
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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...
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07/17/2019
Multi-Adapter RGBT Tracking
The task of RGBT tracking aims to take the complementary advantages from...
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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...
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05/22/2019
Attributes Guided Feature Learning for Vehicle Re-identification
Vehicle Re-ID has recently attracted enthusiastic attention due to its p...
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05/16/2019
RGB-T Image Saliency Detection via Collaborative Graph Learning
Image saliency detection is an active research topic in the community of...
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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...
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04/26/2019
Graph Optimized Convolutional Networks
Graph Convolutional Networks (GCNs) have been widely studied for graph d...
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01/22/2019
