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On Encoding Temporal Evolution for Real-time Action Prediction
Anticipating future actions is a key component of intelligence, specifically when it applies to real-time systems, such as robots or autonomous cars.
Action Recognition: From Static Datasets to Moving Robots
Deep learning models have achieved state-of-the- art performance in recognizing human activities, but often rely on utilizing background cues present in typical computer vision datasets that predominantly have a stationary camera.
Evaluation of Object Detection Proposals Under Condition Variations
Object detection is a fundamental task in many computer vision applications, therefore the importance of evaluating the quality of object detection is well acknowledged in this domain.
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