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08/29/2023
Evaluation and Analysis of Hallucination in Large Vision-Language Models
Large Vision-Language Models (LVLMs) have recently achieved remarkable s...
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08/18/2023
Overlap Bias Matching is Necessary for Point Cloud Registration
Point cloud registration is a fundamental problem in many domains. Pract...
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05/16/2023
Contrastive Label Enhancement
Label distribution learning (LDL) is a new machine learning paradigm for...
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05/16/2023
DualGenerator: Information Interaction-based Generative Network for Point Cloud Completion
Point cloud completion estimates complete shapes from incomplete point c...
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03/13/2023
Label Information Bottleneck for Label Enhancement
In this work, we focus on the challenging problem of Label Enhancement (...
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03/08/2023
Semantically Consistent Multi-view Representation Learning
In this work, we devote ourselves to the challenging task of Unsupervise...
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02/28/2023
Multi-view Semantic Consistency based Information Bottleneck for Clustering
Multi-view clustering can make use of multi-source information for unsup...
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02/26/2023
MCoCo: Multi-level Consistency Collaborative Multi-view Clustering
Multi-view clustering can explore consistent information from different ...
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12/02/2022
3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation
Text-guided 3D object generation aims to generate 3D objects described b...
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10/17/2021
Dynamic Slimmable Denoising Network
Recently, tremendous human-designed and automatically searched neural ne...
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08/09/2021
AnyoneNet: Synchronized Speech and Talking Head Generation for Arbitrary Person
Automatically generating videos in which synthesized speech is synchroni...
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06/27/2021
Query-graph with Cross-gating Attention Model for Text-to-Audio Grounding
In this paper, we address the text-to-audio grounding issue, namely, gro...
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03/20/2021
3DMNDT:3D multi-view registration method based on the normal distributions transform
The normal distributions transform (NDT) is an effective paradigm for th...
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12/13/2020
Effective multi-view registration of point sets based on student's t mixture model
Recently, Expectation-maximization (EM) algorithm has been introduced as...
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10/23/2020
Show and Speak: Directly Synthesize Spoken Description of Images
This paper proposes a new model, referred to as the show and speak (SAS)...
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10/15/2020
Multi-view Hierarchical Clustering
This paper focuses on the multi-view clustering, which aims to promote c...
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08/21/2020
Graph Neural Networks for UnsupervisedDomain Adaptation of Histopathological ImageAnalytics
Annotating histopathological images is a time-consuming andlabor-intensi...
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07/07/2020
Bidirectional Loss Function for Label Enhancement and Distribution Learning
Label distribution learning (LDL) is an interpretable and general learni...
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05/14/2020
S2IGAN: Speech-to-Image Generation via Adversarial Learning
An estimated half of the world's languages do not have a written form, m...
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04/21/2020
Robust Motion Averaging under MaximumCorrentropy Criterion
Recently, the motion averaging method has been introduced as an effectiv...
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04/07/2020
Consistent and Complementary Graph Regularized Multi-view Subspace Clustering
This study investigates the problem of multi-view clustering, where mult...
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04/07/2020
Generalized Label Enhancement with Sample Correlations
Recently, label distribution learning (LDL) has drawn much attention in ...
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02/18/2020
Registration of multi-view point sets under the perspective of expectation-maximization
Registration of multi-view point sets is a prerequisite for 3D model rec...
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02/01/2020
Domain segmentation and adjustment for generalized zero-shot learning
In the generalized zero-shot learning, synthesizing unseen data with gen...
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06/30/2019
Visual Space Optimization for Zero-shot Learning
Zero-shot learning, which aims to recognize new categories that are not ...
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06/19/2019
Constrained Bilinear Factorization Multi-view Subspace Clustering
Multi-view clustering is an important and fundamental problem. Many mult...
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01/30/2019
Feature Concatenation Multi-view Subspace Clustering
Many multi-view clustering methods have been proposed with the popularit...
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11/24/2018
Spatio-Temporal Road Scene Reconstruction using Superpixel MRF
Scene models construction based on image rendering is a hot topic in the...
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05/22/2018
Deep Feature Aggregation with Heat Diffusion for Image Retrieval
Image-level feature descriptors obtained from convolutional neural netwo...
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05/22/2018
Image Retrieval using Heat Diffusion for Deep Feature Aggregation
Image-level feature descriptors obtained from convolutional neural netwo...
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04/21/2018
Multi-view registration of unordered range scans by fast correspondence propagation of multi-scale descriptors
This paper proposes a global approach for the multi-view registration of...
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03/20/2018
Adaptive Co-weighting Deep Convolutional Features For Object Retrieval
Aggregating deep convolutional features into a global image vector has a...
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10/14/2017
K-means clustering for efficient and robust registration of multi-view point sets
Efficiency and robustness are the important performance for the registra...
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09/25/2017
Multi-view Registration Based on Weighted Low Rank and Sparse Matrix Decomposition of Motions
Recently, the low rank and sparse (LRS) matrix decomposition has been in...
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06/14/2017
Simultaneous merging multiple grid maps using the robust motion averaging
Mapping in the GPS-denied environment is an important and challenging ta...
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06/01/2017
An Effective Approach for Point Clouds Registration Based on the Hard and Soft Assignments
For the registration of partially overlapping point clouds, this paper p...
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02/21/2017