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08/07/2023
Recurrent Multi-scale Transformer for High-Resolution Salient Object Detection
Salient Object Detection (SOD) aims to identify and segment the most con...
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08/07/2023
Video-based Person Re-identification with Long Short-Term Representation Learning
Video-based person Re-Identification (V-ReID) aims to retrieve specific ...
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05/02/2023
Geometric Prior Based Deep Human Point Cloud Geometry Compression
The emergence of digital avatars has raised an exponential increase in t...
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04/27/2023
Deeply-Coupled Convolution-Transformer with Spatial-temporal Complementary Learning for Video-based Person Re-identification
Advanced deep Convolutional Neural Networks (CNNs) have shown great succ...
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03/01/2023
Double-RIS Aided Multi-user MIMO Communications: Common Reflection Pattern and Joint Beamforming Design
Reconfigurable intelligent surface (RIS) has entered the public consciou...
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12/01/2022
Learning Progressive Modality-shared Transformers for Effective Visible-Infrared Person Re-identification
Visible-Infrared Person Re-Identification (VI-ReID) is a challenging ret...
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10/03/2022
Fully Transformer Network for Change Detection of Remote Sensing Images
Recently, change detection (CD) of remote sensing images have achieved g...
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02/20/2022
Distortion-Aware Loop Filtering of Intra 360^o Video Coding with Equirectangular Projection
In this paper, we propose a distortion-aware loop filtering model to imp...
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12/03/2021
Mind Your Clever Neighbours: Unsupervised Person Re-identification via Adaptive Clustering Relationship Modeling
Unsupervised person re-identification (Re-ID) attracts increasing attent...
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08/05/2021
Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation
Semantic segmentation is a crucial image understanding task, where each ...
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07/30/2021
Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation
Domain adaptation is critical for success when confronting with the lack...
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07/13/2021
HAT: Hierarchical Aggregation Transformers for Person Re-identification
Recently, with the advance of deep Convolutional Neural Networks (CNNs),...
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04/05/2021
A Video Is Worth Three Views: Trigeminal Transformers for Video-based Person Re-identification
Video-based person re-identification (Re-ID) aims to retrieve video sequ...
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03/07/2021
Watching You: Global-guided Reciprocal Learning for Video-based Person Re-identification
Video-based person re-identification (Re-ID) aims to automatically retri...
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10/19/2020
Hierarchical Paired Channel Fusion Network for Street Scene Change Detection
Street Scene Change Detection (SSCD) aims to locate the changed regions ...
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07/07/2020
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks
Most existing crowd counting systems rely on the availability of the obj...
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03/17/2020
Real-time Image Smoothing via Iterative Least Squares
Edge-preserving image smoothing is a fundamental procedure for many comp...
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02/29/2020
Towards Using Count-level Weak Supervision for Crowd Counting
Most existing crowd counting methods require object location-level annot...
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11/15/2019
DNNRE: A Dynamic Neural Network for Distant Supervised Relation Extraction
Distant Supervised Relation Extraction (DSRE) is usually formulated as a...
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10/08/2019
Deep Multiphase Level Set for Scene Parsing
Recently, Fully Convolutional Network (FCN) seems to be the go-to archit...
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08/20/2019
Towards High-Resolution Salient Object Detection
Deep neural network based methods have made a significant breakthrough i...
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08/01/2019
Cascaded Context Pyramid for Full-Resolution 3D Semantic Scene Completion
Semantic Scene Completion (SSC) aims to simultaneously predict the volum...
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07/23/2019
A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing
Image smoothing is a fundamental procedure in applications of both compu...
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03/01/2019
A Sketch Based 3D Shape Retrieval Approach Based on Efficient Deep Point-to-Subspace Metric Learning
One key issue in managing a large scale 3D shape dataset is to identify ...
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01/21/2019
Salient Object Detection with Lossless Feature Reflection and Weighted Structural Loss
Salient object detection (SOD), which aims to identify and locate the mo...
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12/18/2018
Embedding Bilateral Filter in Least Squares for Efficient Edge-preserving Image Smoothing
Edge-preserving smoothing is a fundamental procedure for many computer v...
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09/28/2018
Boundary-guided Feature Aggregation Network for Salient Object Detection
Fully convolutional networks (FCN) has significantly improved the perfor...
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08/04/2018
Troy: Give Attention to Saliency and for Saliency
Saliency detection or foreground segmentation is a fundamental and impor...
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04/14/2018
HyperFusion-Net: Densely Reflective Fusion for Salient Object Detection
Salient object detection (SOD), which aims to find the most important re...
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02/22/2018
Non-rigid Object Tracking via Deep Multi-scale Spatial-Temporal Discriminative Saliency Maps
In this paper we propose an effective non-rigid object tracking method b...
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02/22/2018
Video Person Re-identification by Temporal Residual Learning
In this paper, we propose a novel feature learning framework for video p...
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02/20/2018
Unsupervised Band Selection of Hyperspectral Images via Multi-dictionary Sparse Representation
Hyperspectral images have far more spectral bands than ordinary multispe...
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02/20/2018
Agile Amulet: Real-Time Salient Object Detection with Contextual Attention
This paper proposes an Agile Aggregating Multi-Level feaTure framework (...
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02/19/2018
Salient Object Detection by Lossless Feature Reflection
Salient object detection, which aims to identify and locate the most sal...
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01/30/2018
Robustness of classification ability of spiking neural networks
It is well-known that the robustness of artificial neural networks (ANNs...
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08/07/2017
Learning Uncertain Convolutional Features for Accurate Saliency Detection
Deep convolutional neural networks (CNNs) have delivered superior perfor...
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08/07/2017
