In driving scenes, road agents often engage in frequent interaction and strive to understand
their surroundings. Ego-agent (each road agent itself) predicts what behavior will be …

Arbitrary-oriented object detection has recently attracted increasing attention in vision for
their importance in aerial imagery, scene text, and face etc. In this paper, we show that …

Arbitrary-oriented object detection has been a building block for rotation sensitive tasks. We
first show that the boundary problem suffered in existing dominant regression-based rotation …

The problem of predicting human motion given a sequence of past observations is at the
core of many applications in robotics and computer vision. Current state-of-the-art formulates …

Multimodal remote sensing images with large rotation transformation (RT) are challenging to
be registered. It needs to deal with the global geometric deformation caused by great RT …

Vision-based prediction algorithms have a wide range of applications including autonomous
driving, surveillance, human-robot interaction, weather prediction. The objective of this …

Pedestrian trajectory prediction is a classic and challenging scientific task that involves
complex engineering science and human factors. These challenges have spurred a …

This paper proposes H^ 3Net that considers detecting people in irregular postures by
utilizing human structures and characters. To handle both features we introduce two …

Person-following is a crucial capability for service robots, and the employment of vision
technology is a leading trend in building environmental understanding. While most existing …

Motion estimation is crucial to predict where other traffic participants will be at a certain
period of time, and accordingly plan the route of the ego-vehicle. This paper presents a …