Feature fusionSpatio-temporal featuresHuman behavior detection is essential for public safety and monitoring. However, in human-based surveillance systems, it requires continuous human attention and observation, which is a difficult task. Detection of violent human behavior using autonomous surveillance ...
We propose a novel three-hierarchy framework with proxy points for multi-frame feature encoding and interactions to achieve better detection. The three hierarchies conduct per-frame feature encoding, short-clip feature fusion, and whole-sequence feature aggregation, respectively. To enable processing ...
We propose a novel three-hierarchy framework with proxy points for multi-frame feature encoding and interactions to achieve better detection. The three hierarchies conduct per-frame feature encoding, short-clip feature fusion, and whole-sequence feature aggregation, respectively. To enable processing ...
Both PWC-Net and SelFlow use multi-frame fusion to obtain accurate motions, and we compare the multi-frame method with them.par All of the videos are taken by the Jilin-1 video satellite. The spatial resolution is approximately 1 m and the frame rate is 10. We choose the city scenes ...
Currently Fusion can read and extract the camera position data from exr sequences and I "think" Nuke has a workaround. Would be an awesome feature to add. Votes Upvote Translate Translate Report Report Follow Report More Reply Reply balanced_kid...
TR-MISR: Multiimage Super-Resolution Based on Feature Fusion With Transformers 2022 2 PIUnet 0.9313717296835213 Permutation invariance and uncertainty in multitemporal image super-resolution 2021 3 RAMS 0.9336790819983855 Multi-image Super Resolution of Remotely Sensed Images using Residual Feature Attention ...
(LDR) images for fusion. For the latter one, we propose to align the gamma-corrected images in the feature-level with a Pyramid, Cascading and Deformable (PCD) alignment module. The proposed ADNet shows state-of-the-art performance compared with previous methods, achieving a PSNR-l of ...
The networks consist of three modules (Primary, Stn and Fusion net)(Corresponds to SISRNet, RegNet and FusionNet of DeepSum), which performs single image recovery, image/feature registration and multi-frame fusion respectively. The network with refinement net has an additional network very similar ...
Kintinuous: Spatially extended kinectfusion,...View more references Cited by (11) Action recognition based on RGB and skeleton data sets: A survey 2022, Neurocomputing Citation Excerpt : Quantization errors are inevitable in the voxelization process, which hinders the application of scenes that ...
Furthermore, we follow up with image fusion through various application-specific enhancement techniques run on an ISP. Our approach targets a 100x speed up in this process by exploiting dedicated ASICs for feature extraction.Shuayb ZararRichard Stoakley...