Titlebook: Computer Vision – ACCV 2018; 14th Asian Conferenc C. V. Jawahar,Hongdong Li,Konrad Schindler Conference proceedings 2019 Springer Nature Sw

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https://doi.org/10.1007/978-3-030-26951-7fic monitoring and disaster management. The huge variation in object scale, orientation, category, and complex backgrounds, as well as the different camera sensors pose great challenges for current algorithms. In this work, we propose a new method consisting of a novel joint image cascade and featur

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Alexandra Boldyreva,Daniele Miccianciognment of the frames taken from a hand-held video is often very difficult to perform. The method proposed here aims to generate a panorama view of the video shot given as input. The proposed framework for panorama creation consists of four stages: The first stage performs a sparse frame selection ba

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Advances in Cryptology – CRYPTO 2019mains unresolved due to many practical challenges such as occlusion, background clutter, noise and outlier, and so forth. In this paper, we introduce a novel geometric distance, called Tangent Chord Distance (TCD), to formulate the ellipse fitting problem. Under the least squares framework, TCD is u

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Commission

Advances in Cryptology – CRYPTO 2019rson ReID model to handle the image resolution variations for improving its generalization ability. However, most existing person ReID methods pay little attention to this resolution discrepancy problem. One paradigm to deal with this problem is to use some complicated methods for mapping all images

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Lecture Notes in Computer Sciencel video inpainting, frame interpolation, and video prediction. We devise a pipeline composed of two modules: a bidirectional video prediction module and a temporally-aware frame interpolation module. The prediction module makes two intermediate predictions of the missing frames, each conditioned on

Contort

Lecture Notes in Computer Scienceproach the problem using simple and fast linear solvers in an iterative scheme. We present several solutions based on fixing different sets of variables and investigate the performance of them thoroughly. We design a new alternation strategy that estimates all parameters in each iteration linearly b

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