Emerging HDR videos enable the recording of adequate luminance information and representing realistic scenes to the audience. Due to the high precision of the HDR data recorded in the floating-point format, a quantization process is required to convert…
Unsupervised domain adaptation (UDA) person re-identification (ReID) faces enormous challenges due to the severe shift between the source and target domains, as well as the dramatic variations within the target domain. In this paper, to address these i…
Real-world images are often compositions of multiple objects with different categories, scales, poses and locations. Adding nonexistent objects to an image (composing) or removing existent objects from an image (decomposing) leads to higher discrepancy…
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
Decentralized learning has gained great popularity to improve learning efficiency and preserve data privacy. Each computing node makes equal contribution to collaboratively learn a Deep Learning model. The elimination of centralized Parameter Servers (…
With increasing usage of face recognition algorithms, it is well established that external artifacts and makeup accessories can be applied to different facial features such as eyes, nose, mouth, and cheek, to obfuscate one’s identity or to imper…
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
Interpolating video frames involving large motions remains an elusive challenge. In case that frames involve small and fast-moving objects, conventional feed-forward neural network-based approaches that estimate optical flow and synthesize in-between f…
Blind video quality assessment (BVQA) is of great importance for video-related applications, yet still challenging even in this deep learning era. The difficulty lies in the shortage of large-scale labeled data, thus making it hard to train a robust sp…
Human action recognition which recognizes human actions in a video is a fundamental task in computer vision field. Although multiple existing methods with single-view or multi-view have been presented for human action recognition, these recognition app…