Given a single outdoor image, this paper proposes a collaborative learning approach for
labeling it as either sunny or cloudy. Never adequately addressed, this twoclass …

Extracting information related to weather and visual conditions at a given time and space is
indispensable for scene awareness, which strongly impacts our behaviours, from simply …

We estimate weather information from single images, as an important clue to unveil real-
world characteristics available in the cyberspace, and as a complementary feature to …

In road environments, real-time knowledge of local weather conditions is an essential
prerequisite for addressing the twin challenges of enhancing road safety and avoiding …

The present disclosure is directed toward systems and methods for predicting lighting
conditions. In particular, the systems and methods described herein analyze a single low …

To facilitate weather property estimation from images, a large-scale image dataset
associated with rich weather information is developed. Based on the taken time and …

In this paper, we study the effectiveness of features from CNNs for predicting the ambient
temperature as well as the time of the year in an outdoor scene. We follow the benchmark …

In this paper we explore interactions between the appearance of an outdoor scene and the
ambient temperature. By studying statistical correlations between image sequences from …

We propose to implicitly learn to extract geo-temporal image features, which are mid-level
features related to when and where an image was captured, by explicitly optimizing for a set …

Image content or metadata editing software availability and ease of use has resulted in a
high demand for automatic image tamper detection algorithms. Most previous work has …