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04/24/2023
Attention-guided Multi-step Fusion: A Hierarchical Fusion Network for Multimodal Recommendation
The main idea of multimodal recommendation is the rational utilization o...
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04/14/2023
MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation
CLIP (Contrastive Language-Image Pretraining) is well-developed for open...
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03/18/2023
Local-to-Global Panorama Inpainting for Locale-Aware Indoor Lighting Prediction
Predicting panoramic indoor lighting from a single perspective image is ...
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03/10/2023
Self-NeRF: A Self-Training Pipeline for Few-Shot Neural Radiance Fields
Recently, Neural Radiance Fields (NeRF) have emerged as a potent method ...
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12/16/2022
HGAN: Hierarchical Graph Alignment Network for Image-Text Retrieval
Image-text retrieval (ITR) is a challenging task in the field of multimo...
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11/09/2022
Improving Performance of Automatic Keyword Extraction (AKE) Methods Using PoS-Tagging and Enhanced Semantic-Awareness
Automatic keyword extraction (AKE) has gained more importance with the i...
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06/30/2022
TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction
This technical report presents an effective method for motion prediction...
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03/18/2022
Completing Partial Point Clouds with Outliers by Collaborative Completion and Segmentation
Most existing point cloud completion methods are only applicable to part...
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03/17/2022
Deep Point Cloud Simplification for High-quality Surface Reconstruction
The growing size of point clouds enlarges consumptions of storage, trans...
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02/13/2022
Deep Graph Learning for Spatially-Varying Indoor Lighting Prediction
Lighting prediction from a single image is becoming increasingly importa...
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02/06/2022
GLPanoDepth: Global-to-Local Panoramic Depth Estimation
In this paper, we propose a learning-based method for predicting dense d...
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12/21/2021
Task-Oriented Image Transmission for Scene Classification in Unmanned Aerial Systems
The vigorous developments of Internet of Things make it possible to exte...
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10/29/2021
SVBRDF Recovery From a Single Image With Highlights using a Pretrained Generative Adversarial Network
Spatially-varying bi-directional reflectance distribution functions (SVB...
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10/07/2021
Scale Invariant Domain Generalization Image Recapture Detection
Recapturing and rebroadcasting of images are common attack methods in in...
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07/26/2021
Transductive Maximum Margin Classifier for Few-Shot Learning
Few-shot learning aims to train a classifier that can generalize well wh...
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07/26/2021
Temporal Alignment Prediction for Few-Shot Video Classification
The goal of few-shot video classification is to learn a classification m...
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05/07/2021
Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections
Model ensembles are becoming one of the most effective approaches for im...
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04/01/2021
A Survey on Natural Language Video Localization
Natural language video localization (NLVL), which aims to locate a targe...
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02/24/2021
Rendering Discrete Participating Media with Geometrical Optics Approximation
We consider the scattering of light in participating media composed of s...
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09/22/2020
Partially Observable Online Change Detection via Smooth-Sparse Decomposition
We consider online change detection of high dimensional data streams wit...
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07/06/2020
Image Stitching Based on Planar Region Consensus
Image stitching for two images without a global transformation between t...
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05/17/2020
FA-GANs: Facial Attractiveness Enhancement with Generative Adversarial Networks on Frontal Faces
Facial attractiveness enhancement has been an interesting application in...
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03/27/2020
Hybrid Models for Open Set Recognition
Open set recognition requires a classifier to detect samples not belongi...
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04/23/2019
Learning Actor Relation Graphs for Group Activity Recognition
Modeling relation between actors is important for recognizing group acti...
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02/26/2019
Self-Selective Correlation Ship Tracking Method for Smart Ocean System
In recent years, with the development of the marine industry, navigation...
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02/13/2019
Super-Resolution of Brain MRI Images using Overcomplete Dictionaries and Nonlocal Similarity
Recently, the Magnetic Resonance Imaging (MRI) images have limited and u...
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02/13/2019
Interest-Related Item Similarity Model Based on Multimodal Data for Top-N Recommendation
Nowadays, the recommendation systems are applied in the fields of e-comm...
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10/29/2018
Attention-Mechanism-based Tracking Method for Intelligent Internet of Vehicles
Vehicle tracking task plays an important role on the internet of vehicle...
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07/03/2018
Stochastic Channel Decorrelation Network and Its Application to Visual Tracking
Deep convolutional neural networks (CNNs) have dominated many computer v...
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04/05/2018