J
Jingyi Yu
Researcher at ShanghaiTech University
Publications - 274
Citations - 7604
Jingyi Yu is an academic researcher from ShanghaiTech University. The author has contributed to research in topics: Light field & Rendering (computer graphics). The author has an hindex of 39, co-authored 260 publications receiving 5794 citations. Previous affiliations of Jingyi Yu include Mitsubishi & University UCINF.
Papers
More filters
Proceedings ArticleDOI
Saliency Detection on Light Field
TL;DR: Experiments show that the saliency detection scheme can robustly handle challenging scenarios such as similar foreground and background, cluttered background, complex occlusions, etc, and achieve high accuracy and robustness.
Proceedings ArticleDOI
Salient Region Detection by UFO: Uniqueness, Focusness and Objectness
TL;DR: A novel salient region detection algorithm by integrating three important visual cues namely uniqueness, focus ness and objectness (UFO), which shows that, even with a simple pixel level combination of the three components, the proposed approach yields significant improvement compared with previously reported methods.
Journal ArticleDOI
Non-photorealistic camera: depth edge detection and stylized rendering using multi-flash imaging
TL;DR: A non-photorealistic rendering approach to capture and convey shape features of real-world scenes by using a camera with multiple flashes that are strategically positioned to cast shadows along depth discontinuities in the scene.
Journal ArticleDOI
Saliency Detection on Light Field
TL;DR: Experiments show that the saliency detection scheme can robustly handle challenging scenarios such as similar foreground and background, cluttered background, complex occlusions, etc., and achieve high accuracy and robustness.
Proceedings ArticleDOI
Gaze Prediction in Dynamic 360° Immersive Videos
TL;DR: This paper presents the large-scale eye-tracking in dynamic VR scene dataset, and proposes to compute saliency maps at different spatial scales: the sub-image patch centered at current gaze point, theSub-image corresponding to the Field of View (FoV), and the panorama image.