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07/24/2023
MFMAN-YOLO: A Method for Detecting Pole-like Obstacles in Complex Environment
In real-world traffic, there are various uncertainties and complexities ...
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07/02/2022
Multi-scale Attentive Image De-raining Networks via Neural Architecture Search
Multi-scale architectures and attention modules have shown effectiveness...
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10/20/2020
Deep Low-Shot Learning for Biological Image Classification and Visualization from Limited Training Samples
Predictive modeling is useful but very challenging in biological image a...
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10/20/2020
Line Graph Neural Networks for Link Prediction
We consider the graph link prediction task, which is a classic graph ana...
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08/04/2020
Structural Plan of Indoor Scenes with Personalized Preferences
In this paper, we propose an assistive model that supports professional ...
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07/18/2020
Deep Learning of High-Order Interactions for Protein Interface Prediction
Protein interactions are important in a broad range of biological proces...
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06/24/2020
Towards Adversarial Planning for Indoor Scenes with Rotation
In this paper, we propose an adversarial model for producing furniture l...
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05/15/2020
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs
Detecting anomalies in dynamic graphs is a vital task, with numerous pra...
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05/24/2017
Dense Transformer Networks
The key idea of current deep learning methods for dense prediction is to...
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05/19/2017