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08/28/2023
Referring Image Segmentation Using Text Supervision
Existing Referring Image Segmentation (RIS) methods typically require ex...
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08/24/2023
Fast Adversarial Training with Smooth Convergence
Fast adversarial training (FAT) is beneficial for improving the adversar...
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08/04/2023
Exploring Part-Informed Visual-Language Learning for Person Re-Identification
Recently, visual-language learning has shown great potential in enhancin...
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05/25/2023
Frame-Event Alignment and Fusion Network for High Frame Rate Tracking
Most existing RGB-based trackers target low frame rate benchmarks of aro...
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04/13/2023
ALR-GAN: Adaptive Layout Refinement for Text-to-Image Synthesis
We propose a novel Text-to-Image Generation Network, Adaptive Layout Ref...
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03/11/2023
The Multimodal Information based Speech Processing (MISP) 2022 Challenge: Audio-Visual Diarization and Recognition
The Multi-modal Information based Speech Processing (MISP) challenge aim...
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03/08/2023
SEMv2: Table Separation Line Detection Based on Conditional Convolution
Table structure recognition is an indispensable element for enabling mac...
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10/12/2022
Explore Contextual Information for 3D Scene Graph Generation
3D scene graph generation (SGG) has been of high interest in computer vi...
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10/12/2022
Point Cloud Scene Completion with Joint Color and Semantic Estimation from Single RGB-D Image
We present a deep reinforcement learning method of progressive view inpa...
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09/01/2022
Monocular Camera-based Complex Obstacle Avoidance via Efficient Deep Reinforcement Learning
Deep reinforcement learning has achieved great success in laser-based co...
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07/04/2022
NodeTrans: A Graph Transfer Learning Approach for Traffic Prediction
Recently, deep learning methods have made great progress in traffic pred...
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06/11/2022
Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks
For learning graph representations, not all detailed structures within a...
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06/09/2022
Biologically Inspired Dynamic Thresholds for Spiking Neural Networks
The dynamic membrane potential threshold, as one of the essential proper...
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04/17/2022
DR-GAN: Distribution Regularization for Text-to-Image Generation
This paper presents a new Text-to-Image generation model, named Distribu...
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03/17/2022
Bi-directional Object-context Prioritization Learning for Saliency Ranking
The saliency ranking task is recently proposed to study the visual behav...
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12/14/2021
Improving Spectral Graph Convolution for Learning Graph-level Representation
From the original theoretically well-defined spectral graph convolution ...
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11/19/2021
Learning to Detect Instance-level Salient Objects Using Complementary Image Labels
Existing salient instance detection (SID) methods typically learn from p...
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10/17/2021
Temporal Knowledge Graph Reasoning Triggered by Memories
Inferring missing facts in temporal knowledge graphs is a critical task ...
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09/19/2021
Object Tracking by Jointly Exploiting Frame and Event Domain
Inspired by the complementarity between conventional frame-based and bio...
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09/07/2021
Grassmannian Graph-attentional Landmark Selection for Domain Adaptation
Domain adaptation aims to leverage information from the source domain to...
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08/16/2021
A Vision-based Irregular Obstacle Avoidance Framework via Deep Reinforcement Learning
Deep reinforcement learning has achieved great success in laser-based co...
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08/10/2021
Multi-domain Collaborative Feature Representation for Robust Visual Object Tracking
Jointly exploiting multiple different yet complementary domain informati...
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05/25/2021
GAN for Vision, KG for Relation: a Two-stage Deep Network for Zero-shot Action Recognition
Zero-shot action recognition can recognize samples of unseen classes tha...
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05/24/2021
Real-time Human Action Recognition Using Locally Aggregated Kinematic-Guided Skeletonlet and Supervised Hashing-by-Analysis Model
3D action recognition is referred to as the classification of action seq...
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04/21/2021
A Two-Stage Attentive Network for Single Image Super-Resolution
Recently, deep convolutional neural networks (CNNs) have been widely exp...
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03/31/2021
Smart Scribbles for Image Mating
Image matting is an ill-posed problem that usually requires additional u...
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01/26/2021
Automatic Comic Generation with Stylistic Multi-page Layouts and Emotion-driven Text Balloon Generation
In this paper, we propose a fully automatic system for generating comic ...
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12/14/2020
Breaking the Expressive Bottlenecks of Graph Neural Networks
Recently, the Weisfeiler-Lehman (WL) graph isomorphism test was used to ...
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09/29/2020
Weakly-supervised Salient Instance Detection
Existing salient instance detection (SID) methods typically learn from p...
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08/10/2020
MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-Identification
This paper presents a novel person re-identification model, named Multi-...
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08/10/2020
Incomplete Descriptor Mining with Elastic Loss for Person Re-Identification
In this paper, we propose a novel person Re-ID model, Consecutive Batch ...
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04/18/2020
A Comprehensive Survey on Traffic Prediction
Traffic prediction plays an essential role in intelligent traffic system...
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08/24/2019
Where Is My Mirror?
Mirrors are everywhere in our daily lives. Existing computer vision syst...
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08/23/2019
DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors
Recently, single-image super-resolution has made great progress owing to...
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05/10/2019
DEMC: A Deep Dual-Encoder Network for Denoising Monte Carlo Rendering
In this paper, we present DEMC, a deep Dual-Encoder network to remove Mo...
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05/08/2018
Active Object Reconstruction Using a Guided View Planner
Inspired by the recent advance of image-based object reconstruction usin...
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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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07/03/2017
Vectorial Dimension Reduction for Tensors Based on Bayesian Inference
Dimensionality reduction for high-order tensors is a challenging problem...
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05/17/2017
Localized LRR on Grassmann Manifolds: An Extrinsic View
Subspace data representation has recently become a common practice in ma...
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09/21/2016
Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications
Partial least squares regression (PLSR) has been a popular technique to ...
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09/21/2016
Matrix Variate RBM Model with Gaussian Distributions
Restricted Boltzmann Machine (RBM) is a particular type of random neural...
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06/13/2016
Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multi-Camera Video Surveillance
In multi-camera video surveillance, it is challenging to represent video...
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01/21/2016
Partial Sum Minimization of Singular Values Representation on Grassmann Manifolds
As a significant subspace clustering method, low rank representation (LR...
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01/09/2016
Kernelized LRR on Grassmann Manifolds for Subspace Clustering
Low rank representation (LRR) has recently attracted great interest due ...
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01/07/2016
Block-Diagonal Sparse Representation by Learning a Linear Combination Dictionary for Recognition
In a sparse representation based recognition scheme, it is critical to l...
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01/02/2016
Tensor Sparse and Low-Rank based Submodule Clustering Method for Multi-way Data
A new submodule clustering method via sparse and low-rank representation...
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04/08/2015
Low Rank Representation on Grassmann Manifolds: An Extrinsic Perspective
Many computer vision algorithms employ subspace models to represent data...
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04/08/2015
Kernelized Low Rank Representation on Grassmann Manifolds
Low rank representation (LRR) has recently attracted great interest due ...
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04/07/2015
Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization
Tensors or multiarray data are generalizations of matrices. Tensor clust...
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12/31/2013
