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07/16/2023
S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Reality
Due to the lack of real multi-agent data and time-consuming of labeling,...
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06/27/2023
Style-transfer based Speech and Audio-visual Scene Understanding for Robot Action Sequence Acquisition from Videos
To realize human-robot collaboration, robots need to execute actions for...
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06/26/2023
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey
Deep learning-based intelligent vehicle perception has been developing p...
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06/24/2023
Towards Robust Aspect-based Sentiment Analysis through Non-counterfactual Augmentations
While state-of-the-art NLP models have demonstrated excellent performanc...
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05/11/2023
EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention
Vision transformers have shown great success due to their high model cap...
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01/07/2023
An efficient and robust SAV based algorithm for discrete gradient systems arising from optimizations
We propose in this paper a new minimization algorithm based on a slightl...
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12/16/2022
Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communication
Deep learning has been widely used in the perception (e.g., 3D object de...
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12/07/2022
Artificial Intelligence Security Competition (AISC)
The security of artificial intelligence (AI) is an important research ar...
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07/06/2022
WE model: A Machine Learning Model Based on Data-Driven Movie Derivatives Market Prediction
The mature development and the extension of the industry chain make the ...
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04/06/2022
Towards Robust Adaptive Object Detection under Noisy Annotations
Domain Adaptive Object Detection (DAOD) models a joint distribution of i...
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03/12/2022
SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection
Domain Adaptive Object Detection (DAOD) leverages a labeled domain to le...
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01/24/2022
Neural Architecture Searching for Facial Attributes-based Depression Recognition
Recent studies show that depression can be partially reflected from huma...
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10/24/2021
Exploring Gradient Flow Based Saliency for DNN Model Compression
Model pruning aims to reduce the deep neural network (DNN) model size or...
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10/14/2021
Understanding the Evolution of Blockchain Ecosystems: A Longitudinal Measurement Study of Bitcoin, Ethereum, and EOSIO
The continuing expansion of the blockchain ecosystems has attracted much...
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10/11/2021
Generalizing to New Domains by Mapping Natural Language to Lifted LTL
Recent work on using natural language to specify commands to robots has ...
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09/07/2021
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud
Understanding the predictions made by machine learning (ML) models and t...
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07/08/2021
3D RegNet: Deep Learning Model for COVID-19 Diagnosis on Chest CT Image
In this paper, a 3D-RegNet-based neural network is proposed for diagnosi...
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05/20/2021
Testing DBMS Performance with Mutations
Because database systems are the critical component of modern data-inten...
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04/12/2021
Ethereum Name Service: the Good, the Bad, and the Ugly
DNS has always been criticized for its inherent design flaws, making the...
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04/28/2020
Showing Your Work Doesn't Always Work
In natural language processing, a recently popular line of work explores...
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03/22/2020
TanhExp: A Smooth Activation Function with High Convergence Speed for Lightweight Neural Networks
Lightweight or mobile neural networks used for real-time computer vision...
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03/22/2020
Review of data analysis in vision inspection of power lines with an in-depth discussion of deep learning technology
The widespread popularity of unmanned aerial vehicles enables an immense...
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11/05/2019
Deep least-squares methods: an unsupervised learning-based numerical method for solving elliptic PDEs
This paper studies an unsupervised deep learning-based numerical approac...
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01/31/2019
Learning Efficient Lexically-Constrained Neural Machine Translation with External Memory
Recent years has witnessed dramatic progress of neural machine translati...
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11/01/2018