Results 11 to 20 of about 5,690,335 (402)

A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction [PDF]

open access: yesIEEE International Conference on Computer Vision, 2021
In this paper, we propose HF2-VAD, a Hybrid framework that integrates Flow reconstruction and Frame prediction seamlessly to handle Video Anomaly Detection.
Zhian Liu   +4 more
semanticscholar   +1 more source

XVFI: eXtreme Video Frame Interpolation [PDF]

open access: yesIEEE International Conference on Computer Vision, 2021
In this paper, we firstly present a dataset (X4K1000FPS) of 4K videos of 1000 fps with the extreme motion to the research community for video frame interpolation (VFI), and propose an extreme VFI network, called XVFI-Net, that first handles the VFI for ...
Hyeonjun Sim, Jihyong Oh, Munchurl Kim
semanticscholar   +1 more source

Time Lens: Event-based Video Frame Interpolation [PDF]

open access: yesComputer Vision and Pattern Recognition, 2021
State-of-the-art frame interpolation methods generate intermediate frames by inferring object motions in the image from consecutive key-frames. In the absence of additional information, first-order approximations, i.e.
Stepan Tulyakov   +6 more
semanticscholar   +1 more source

Softmax Splatting for Video Frame Interpolation [PDF]

open access: yesComputer Vision and Pattern Recognition, 2020
Differentiable image sampling in the form of backward warping has seen broad adoption in tasks like depth estimation and optical flow prediction. In contrast, how to perform forward warping has seen less attention, partly due to additional challenges ...
Simon Niklaus, Feng Liu
semanticscholar   +1 more source

The i-frame and the s-frame: How focusing on individual-level solutions has led behavioral public policy astray

open access: yesBehavioral and Brain Sciences, 2022
An influential line of thinking in behavioral science, to which the two authors have long subscribed, is that many of society's most pressing problems can be addressed cheaply and effectively at the level of the individual, without modifying the system ...
Nick Chater, George Loewenstein
semanticscholar   +1 more source

Frames and semi-frames [PDF]

open access: yesJournal of Physics A: Mathematical and Theoretical, 2011
Loosely speaking, a semi-frame is a generalized frame for which one of the frame bounds is absent. More precisely, given a total sequence in a Hilbert space, we speak of an upper (resp. lower) semi-frame if only the upper (resp. lower) frame bound is valid.
Antoine, Jean-Pierre, Balazs, Peter
openaire   +5 more sources

Asymmetric Bilateral Motion Estimation for Video Frame Interpolation [PDF]

open access: yesIEEE International Conference on Computer Vision, 2021
We propose a novel video frame interpolation algorithm based on asymmetric bilateral motion estimation (ABME), which synthesizes an intermediate frame between two input frames.
Jun-ho Park, Chulwoo Lee, Chang-Su Kim
semanticscholar   +1 more source

Future Frame Prediction for Anomaly Detection - A New Baseline [PDF]

open access: yes2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017
Anomaly detection in videos refers to the identification of events that do not conform to expected behavior. However, almost all existing methods tackle the problem by minimizing the reconstruction errors of training data, which cannot guarantee a larger
Wen Liu   +3 more
semanticscholar   +1 more source

Video Frame Interpolation Transformer [PDF]

open access: yesComputer Vision and Pattern Recognition, 2021
Existing methods for video interpolation heavily rely on deep convolution neural networks, and thus suffer from their intrinsic limitations, such as content-agnostic kernel weights and restricted receptive field.
Zhihao Shi   +4 more
semanticscholar   +1 more source

Partial frames, their free frames and their congruence frames

open access: yesElectronic Notes in Theoretical Informatics and Computer Science, 2023
The context of this work is that of partial frames; these are meet-semilattices where not all subsets need have joins. A selection function, S, specifies, for all meet-semilattices, certain subsets under consideration, which we call the ``designated'' ones; an S-frame then must have joins of (at least) all such subsets and binary meet must distribute ...
Schauerte, Anneliese, Frith, John
openaire   +2 more sources

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