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Most of the recent successful methods in accurate object detection and localization used some variants of R-CNN style two stage Convolutional Neural Networks (CNN) where plausible regions were proposed in the first stage then followed by a second stage for decision refinement. Despite the simplicity of training and the efficiency in deployment, the single(More)
Natural image matting refers to the problem of extracting regions of interest such as foreground object from an image based on user inputs like scribbles or trimap. More specifically, we need to estimate the color information of background, foreground and the corresponding opacity, which is an ill-posed problem inherently. Inspired by closed-formmatting and(More)
Speaker identification refers to the task of localizing the face of a person who has the same identity as the ongoing voice in a video. This task not only requires collective perception over both visual and auditory signals, the robustness to handle severe quality degradations and unconstrained content variations are also indispensable. In this paper, we(More)
Inflammation is known to contribute to carcinogenesis in human colorectal cancer. Proinflammatory cytokine interleukin-17 (IL-17 or IL-17A) has been shown to play a critical role in colon carcinogenesis in mouse models. However, few studies have investigated IL-17A in human colon tissues. In the present study, we assessed IL-17-driven inflammatory responses(More)
View synthesis is a technique to generate images/videos in a virtual viewpoint. In this paper, the dis-occlusion/hole problem in view synthesis is resolved from the temporal domain. By the fact that dis-occlusions belong to the background, firstly we build an online background under a newly designed Switchable Gaussian Model (SGM), owning to its(More)
Transmitting compactly represented geometry of a dynamic scene from a sender can enable a multitude of 3D imaging functionalities at a receiver, such as synthesis of virtual images from freely chosen viewpoints via depth-image-based rendering (DIBR). While depth maps can now be readily captured using inexpensive depth sensors, they are often corrupted by(More)
Single camera stereo system utilizes mirrors and a single camera for computational stereo, where the mirrors provide extra views needed for stereo and 3D reconstruction. In this paper, we investigate the basic epiploar geometric properties of the single camera stereo image and propose a novel image rectification technique to map the epipolar lines in the(More)
View synthesis offers a great flexibility in generating free viewpoint television (FTV) and 3D video (3DV). However, the depth-image-based view synthesis approach is very sensitive to errors in the camera parameters or poorly estimated depth maps (also called depth images). Because of these errors, three kinds of artifacts (blurring, contour, hole) are(More)