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07/06/2023
Push Past Green: Learning to Look Behind Plant Foliage by Moving It
Autonomous agriculture applications (e.g., inspection, phenotyping, pluc...
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06/21/2023
SIFTER: A Task-specific Alignment Strategy for Enhancing Sentence Embeddings
The paradigm of pre-training followed by fine-tuning on downstream tasks...
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05/27/2023
Pre-trained transformer for adversarial purification
With more and more deep neural networks being deployed as various daily ...
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05/25/2023
SimHaze: game engine simulated data for real-world dehazing
Deep models have demonstrated recent success in single-image dehazing. M...
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04/24/2023
B2Opt: Learning to Optimize Black-box Optimization with Little Budget
Learning to optimize (L2O) has emerged as a powerful framework for black...
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03/31/2023
ConceptEVA: Concept-Based Interactive Exploration and Customization of Document Summaries
With the most advanced natural language processing and artificial intell...
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03/31/2023
LabelVizier: Interactive Validation and Relabeling for Technical Text Annotations
With the rapid accumulation of text data produced by data-driven techniq...
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03/20/2023
Efficient Map Sparsification Based on 2D and 3D Discretized Grids
Localization in a pre-built map is a basic technique for robot autonomou...
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12/22/2022
Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation
Conversational recommender systems (CRSs) often utilize external knowled...
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10/03/2022
Deep Physiological Sensing Toolbox
Camera physiological measurement is a fast growing field of computer vis...
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03/29/2022
High-Dimensional Vector Autoregression with Common Response and Predictor Factors
Reinterpreting the reduced-rank vector autoregressive (VAR) model of ord...
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01/11/2022
MobilePhys: Personalized Mobile Camera-Based Contactless Physiological Sensing
Camera-based contactless photoplethysmography refers to a set of popular...
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11/27/2021
OmiTrans: generative adversarial networks based omics-to-omics translation framework
With the rapid development of high-throughput experimental technologies,...
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10/25/2021
CNNC: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks
The rapid development of Convolutional Neural Networks (CNNs) in recent ...
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09/10/2021
SO-SLAM: Semantic Object SLAM with Scale Proportional and Symmetrical Texture Constraints
Object SLAM introduces the concept of objects into Simultaneous Localiza...
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09/06/2021
Method for making multi-attribute decisions in wargames by combining intuitionistic fuzzy numbers with reinforcement learning
Researchers are increasingly focusing on intelligent games as a hot rese...
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07/27/2021
Perception-and-Regulation Network for Salient Object Detection
Effective fusion of different types of features is the key to salient ob...
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05/26/2021
XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data
Deep learning based approaches have proven promising to model omics data...
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05/25/2021
GraphFM: Graph Factorization Machines for Feature Interaction Modeling
Factorization machine (FM) is a prevalent approach to modeling pairwise ...
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05/13/2021
Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey
Deep Neural Network (DNN), one of the most powerful machine learning alg...
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05/04/2021
Nonparametric Quantile Regression for Homogeneity Pursuit in Panel Data Models
Many panel data have the latent subgroup effect on individuals, and it i...
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04/21/2021
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
This paper reviews the first NTIRE challenge on quality enhancement of c...
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04/07/2021
DyGCN: Dynamic Graph Embedding with Graph Convolutional Network
Graph embedding, aiming to learn low-dimensional representations (aka. e...
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02/03/2021
OmiEmbed: reconstruct comprehensive phenotypic information from multi-omics data using multi-task deep learning
High-dimensional omics data contains intrinsic biomedical information th...
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11/13/2020
Heterogeneous Graph Collaborative Filtering
Graph-based collaborative filtering (CF) algorithms have gained increasi...
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08/19/2020
Stereo Plane SLAM Based on Intersecting Lines
Plane feature is a kind of stable landmark to reduce drift error in SLAM...
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07/28/2020
Cassandra: Detecting Trojaned Networks from Adversarial Perturbations
Deep neural networks are being widely deployed for many critical tasks d...
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04/11/2020
Object-oriented SLAM using Quadrics and Symmetry Properties for Indoor Environments
Aiming at the application environment of indoor mobile robots, this pape...
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03/11/2020
ConceptScope: Organizing and Visualizing Knowledge in Documents based on Domain Ontology
Current text visualization techniques typically provide overviews of doc...
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11/18/2019
Optimal design of shell-graded-infill structures by a hybrid MMC-MMV approach
In the present work, a hybrid MMC-MMV approach is developed for designin...
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11/17/2019
Unsupervised Visual Representation Learning with Increasing Object Shape Bias
(Very early draft)Traditional supervised learning keeps pushing convolut...
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11/10/2019
Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records
The extraction of phenotype information which is naturally contained in ...
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10/12/2019
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction
Click-through rate (CTR) prediction is an essential task in web applicat...
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10/11/2019
Coarse-To-Fine Visual Localization Using Semantic Compact Map
Robust visual localization for urban vehicles remains challenging and un...
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08/17/2019
Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification
Different aspects of a clinical sample can be revealed by multiple types...
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07/31/2019
Semi-supervised Compatibility Learning Across Categories for Clothing Matching
Learning the compatibility between fashion items across categories is a ...
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07/26/2019
Multiple Human Association between Top and Horizontal Views by Matching Subjects' Spatial Distributions
Video surveillance can be significantly enhanced by using both top-view ...
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07/22/2019
Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements
Combining data content with visual embellishments, infographics can effe...
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02/28/2019
Interaction-aware Kalman Neural Networks for Trajectory Prediction
Forecasting the motion of surrounding dynamic obstacles (vehicles, bicyc...
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02/21/2019
Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks
With the rapid development of fashion market, the customers' demands of ...
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09/14/2018
Socially Aware Kalman Neural Networks for Trajectory Prediction
Trajectory prediction is a critical technique in the navigation of robot...
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07/06/2017