Publications

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SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications

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DeepGCNs: Making GCNs Go as Deep as CNNs

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OIL: Observational Imitation Learning

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Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-based UAV Racing

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TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild

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Driving Policy Transfer via Modularity and Abstraction

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Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications

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End-to-end Driving via Conditional Imitation Learning

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Teaching UAVs to Race: End-to-End Regression of Agile Controls in Simulation

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The Visual Object Tracking VOT2016 Challenge Results

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Target Response Adaptation for Correlation Filter Tracking

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Persistent Aerial Tracking System for UAVs

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