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09/21/2022
ECSAS: Exploring Critical Scenarios from Action Sequence in Autonomous Driving
Critical scenario generation requires the ability of sampling critical c...
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03/31/2022
Multi-Granularity Alignment Domain Adaptation for Object Detection
Domain adaptive object detection is challenging due to distinctive data ...
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12/23/2021
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art
The malware has been being one of the most damaging threats to computers...
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08/16/2021
Towards Real-World Prohibited Item Detection: A Large-Scale X-ray Benchmark
Automatic security inspection using computer vision technology is a chal...
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03/29/2020
Spatial Attention Pyramid Network for Unsupervised Domain Adaptation
Unsupervised domain adaptation is critical in various computer vision ta...
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01/13/2020
Towards Interpretable and Robust Hand Detection via Pixel-wise Prediction
The lack of interpretability of existing CNN-based hand detection method...
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12/20/2019
Learning Semantic Neural Tree for Human Parsing
The majority of existing human parsing methods formulate the task as sem...
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12/11/2019
SiamMan: Siamese Motion-aware Network for Visual Tracking
In this paper, we present a novel siamese motion-aware network (SiamMan)...
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09/25/2019
Guided Attention Network for Object Detection and Counting on Drones
Object detection and counting are related but challenging problems, espe...
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06/11/2019
Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently
Existing hand detection methods usually follow the pipeline of multiple ...
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04/10/2019