Results 11 to 20 of about 6,069,490 (350)
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction [PDF]
IEEE 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
Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation [PDF]
Computer Vision and Pattern Recognition, 2023 Effectively extracting inter-frame motion and appearance information is important for video frame interpolation (VFI). Previous works either extract both types of information in a mixed way or devise separate modules for each type of information, which ...
Guozhen Zhang +5 more
semanticscholar +1 more source
Antibodies, 2022 Bispecific antibodies (BsAbs) represent an important advance in innovative therapeutic strategies. Among the countless formats of BsAbs, fusion with molecules such as anticalins linked to a monoclonal antibody (mAb), represents an easy and low-cost way ...
Nicolas Aubrey +18 more
doaj +1 more source
Applied Sciences, 2023 The corrosion mechanism and characteristics of steel in typical atmospheric environments directly affect the rationality of corrosion protection methods. This study investigates the corrosion evolution law of Q235 steel that has been exposed to the urban
Haiying Wu, Yaozhi Luo, Guangen Zhou
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Softmax Splatting for Video Frame Interpolation [PDF]
Computer 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
Transnational partner meetings in the face of the pandemic – the case of Strategic Partnerships implementing international projects [PDF]
Studia Periegetica, 2020 During the pandemic of COVID-19 the work on projects that require team working has changed. The face-to-face meetings, with the physical presence of participants, were moved to virtual space, enforcing the change in the way of project partners ...
Adam Krzysztof Gogacz +1 more
doaj +1 more source
Time Lens: Event-based Video Frame Interpolation [PDF]
Computer 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
Frame-Event Alignment and Fusion Network for High Frame Rate Tracking [PDF]
Computer Vision and Pattern Recognition, 2023 Most existing RGB-based trackers target low frame rate benchmarks of around 30 frames per second. This setting restricts the tracker's functionality in the real world, especially for fast motion.
Jiqing Zhang +6 more
semanticscholar +1 more source
XVFI: eXtreme Video Frame Interpolation [PDF]
IEEE 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
Future Frame Prediction for Anomaly Detection - A New Baseline [PDF]
2018 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