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08/11/2023
Semantic-embedded Similarity Prototype for Scene Recognition
Due to the high inter-class similarity caused by the complex composition...
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07/13/2023
InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
This paper introduces InternVid, a large-scale video-centric multimodal ...
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05/22/2023
Semantic-guided context modeling for indoor scene recognition
Exploring the semantic context in scene images is essential for indoor s...
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05/15/2023
SRRM: Semantic Region Relation Model for Indoor Scene Recognition
Despite the remarkable success of convolutional neural networks in vario...
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05/06/2023
LEO: Generative Latent Image Animator for Human Video Synthesis
Spatio-temporal coherency is a major challenge in synthesizing high qual...
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12/31/2022
Disjoint Masking with Joint Distillation for Efficient Masked Image Modeling
Masked image modeling (MIM) has shown great promise for self-supervised ...
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10/26/2022
High-dimensional Measurement Error Models for Lipschitz Loss
Recently emerging large-scale biomedical data pose exciting opportunitie...
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07/14/2022
A DNS Tunnel Sliding Window Differential Detection Method Based on Normal Distribution Reasonable Range Filtering
A covert attack method often used by APT organizations is the DNS tunnel...
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03/28/2022
TL-GAN: Improving Traffic Light Recognition via Data Synthesis for Autonomous Driving
Traffic light recognition, as a critical component of the perception mod...
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01/07/2022
Compressing Models with Few Samples: Mimicking then Replacing
Few-sample compression aims to compress a big redundant model into a sma...
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12/20/2021
Contrastive Attention Network with Dense Field Estimation for Face Completion
Most modern face completion approaches adopt an autoencoder or its varia...
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06/09/2021
Very Compact Clusters with Structural Regularization via Similarity and Connectivity
Clustering algorithms have significantly improved along with Deep Neural...
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03/04/2021
Multi-task Learning with High-Dimensional Noisy Images
Recent medical imaging studies have given rise to distinct but inter-rel...
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03/01/2021
Learning Multimodal Contact-Rich Skills from Demonstrations Without Reward Engineering
Everyday contact-rich tasks, such as peeling, cleaning, and writing, dem...
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02/14/2021
Point-line-based RGB-D SLAM and Bundle Adjustment Uncertainty Analysis
Most of the state-of-the-art indirect visual SLAM methods are based on t...
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01/01/2021
Adaptive Deconvolution-based stereo matching Net for Local Stereo Matching
In deep learning-based local stereo matching methods, larger image patch...
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12/08/2020
Discovering key topics from short, real-world medical inquiries via natural language processing and unsupervised learning
Millions of unsolicited medical inquiries are received by pharmaceutical...
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11/10/2020
Unsupervised Contrastive Photo-to-Caricature Translation based on Auto-distortion
Photo-to-caricature translation aims to synthesize the caricature as a r...
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10/29/2020
Free-Form Image Inpainting via Contrastive Attention Network
Most deep learning based image inpainting approaches adopt autoencoder o...
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10/19/2020
Inspection-on-the-fly using Hybrid Physical Interaction Control for Aerial Manipulators
Inspection for structural properties (surface stiffness and coefficient ...
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12/21/2019
Style-based Variational Autoencoder for Real-World Super-Resolution
Real-world image super-resolution is a challenging image translation pro...
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12/03/2019
Multi-resolution Graph Neural Network for Identifying Disease-specific Variations in Brain Connectivity
Convolution Neural Network (CNN) recently have been adopted in several n...
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11/25/2019
Fast and Incremental Loop Closure Detection Using Proximity Graphs
Visual loop closure detection, which can be considered as an image retri...
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10/19/2019
Application of a new information priority accumulated grey model with time power to predict short-term wind turbine capacity
Wind energy makes a significant contribution to global power generation....
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10/09/2019
Semi-parametric Bayes Regression with Network Valued Covariates
There is an increasing recognition of the role of brain networks as neur...
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08/04/2019
Improved GM(1,1) model based on Simpson formula and its applications
The classical GM(1,1) model is an efficient tool to make accurate foreca...
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02/27/2019
Accurate Target Localization by using Artificial Pinnae of brown long-eared bat
Echolocating bats locate the targets by echolocation. Many theoretical f...
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10/25/2018
Batch Normalization Sampling
Deep Neural Networks (DNNs) thrive in recent years in which Batch Normal...
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09/28/2018
Application of the novel fractional grey model FAGMO(1,1,k) to predict China's nuclear energy consumption
At present, the energy structure of China is shifting towards cleaner an...
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09/22/2018
In-memory multiplication engine with SOT-MRAM based stochastic computing
Processing-in-memory (PIM) turns out to be a promising solution to break...
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07/25/2018
Crossbar-aware neural network pruning
Crossbar architecture based devices have been widely adopted in neural n...
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05/04/2018
The conformable fractional grey system model
The fractional order grey models (FGM) have appealed considerable intere...
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05/04/2018