Search Results for author: Xiaotao Liu

Found 5 papers, 1 papers with code

Temporal Adaptive RGBT Tracking with Modality Prompt

no code implementations2 Jan 2024 Hongyu Wang, Xiaotao Liu, YiFan Li, Meng Sun, Dian Yuan, Jing Liu

RGBT tracking has been widely used in various fields such as robotics, surveillance processing, and autonomous driving.

Autonomous Driving Rgb-T Tracking

Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection

1 code implementation22 Jul 2022 Zhiwei Yang, Peng Wu, Jing Liu, Xiaotao Liu

Existing methods for anomaly detection based on memory-augmented autoencoder (AE) have the following drawbacks: (1) Establishing a memory bank requires additional memory space.

Anomaly Detection

AutoAdversary: A Pixel Pruning Method for Sparse Adversarial Attack

no code implementations18 Mar 2022 Jinqiao Li, Xiaotao Liu, Jian Zhao, Furao Shen

A special branch of adversarial examples, namely sparse adversarial examples, can fool the target DNNs by perturbing only a few pixels.

Adversarial Attack Network Pruning

Robust and High Performance Face Detector

no code implementations6 Jan 2019 Yundong Zhang, Xiang Xu, Xiaotao Liu

In recent years, face detection has experienced significant performance improvement with the boost of deep convolutional neural networks.

Data Augmentation Face Detection +1

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