Deep reinforcement learning augments the reinforcement learning framework and utilizes
the powerful representation of deep neural networks. Recent works have demonstrated the …

In recent years, reinforcement learning and bandits have transformed a wide range of real-
world applications including healthcare, finance, recommendation systems, robotics, and …

When we look around and perform complex tasks how we see and selectively process what
we see is crucial. However the lack of this visual search mechanism in current multimodal …

Field of view (FoV) prediction is critical in 360-degree video multicast, which is a key
component of the emerging virtual reality and augmented reality applications. Most of the …

Predicting human gaze is important in Human-Computer Interaction (HCI). However, to
practically serve HCI applications, gaze prediction models must be scalable, fast, and …

Scanpath prediction for 360deg images aims to produce dynamic gaze behaviors based on
the human visual perception mechanism. Most existing scanpath prediction methods for …

Humans typically move their eyes in “scanpaths” of fixations linked by saccades. Here we
present DeepGaze III, a new model that predicts the spatial location of consecutive fixations …

Eye gaze analysis is an important research problem in the field of Computer Vision and
Human-Computer Interaction. Even with notable progress in the last 10 years, automatic …

Traffic accident anticipation aims to accurately and promptly predict the occurrence of a
future accident from dashcam videos, which is vital for a safety-guaranteed self-driving …

Attention has been an important mechanism for both humans and computer vision systems.
While state-of-the-art models to predict attention focus on estimating a static probabilistic …