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06/14/2023
Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios
Recent deep neural networks (DNNs) have come to rely on vast amounts of ...
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06/14/2023
A Proxy-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks
Poisoning efficiency is a crucial factor in poisoning-based backdoor att...
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04/11/2023
Another Vertical View: A Hierarchical Network for Heterogeneous Trajectory Prediction via Spectrums
With the fast development of AI-related techniques, the applications of ...
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09/18/2022
TODE-Trans: Transparent Object Depth Estimation with Transformer
Transparent objects are widely used in industrial automation and daily l...
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02/17/2022
CSCNet: Contextual Semantic Consistency Network for Trajectory Prediction in Crowded Spaces
Trajectory prediction aims to predict the movement trend of the agents l...
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10/14/2021
View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums
Learning to understand and predict future motions or behaviors for agent...
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07/29/2021
FREE: Feature Refinement for Generalized Zero-Shot Learning
Generalized zero-shot learning (GZSL) has achieved significant progress,...
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07/02/2021
MSN: Multi-Style Network for Trajectory Prediction
It is essential but challenging to predict future trajectories of variou...
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10/08/2020
BGM: Building a Dynamic Guidance Map without Visual Images for Trajectory Prediction
Visual images usually contain the informative context of the environment...
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08/21/2020
CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network
Generative adversarial networks (GANs) have been a popular deep generati...
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03/13/2020