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Found 10 papers, 5 papers with code
Edit3K: Universal Representation Learning for Video Editing Components
Each video in our dataset is rendered by various image/video materials with a single editing component, which supports atomic visual understanding of different editing components.
Context-Guided Spatio-Temporal Video Grounding
The key of CG-STVG lies in two specially designed modules, including instance context generation (ICG), which focuses on discovering visual context information (in both appearance and motion) of the instance, and instance context refinement (ICR), which aims to improve the instance context from ICG by eliminating irrelevant or even harmful information from the context.
Ranked #1 on
Spatio-Temporal Video Grounding
on HC-STVG1
Local Compressed Video Stream Learning for Generic Event Boundary Detection
Specifically, we use lightweight ConvNets to extract features of the P-frames in the GOPs and spatial-channel attention module (SCAM) is designed to refine the feature representations of the P-frames based on the compressed information with bidirectional information flow.
Accurate and Fast Compressed Video Captioning
Addressing this, we study video captioning from a different perspective in compressed domain, which brings multi-fold advantages over the existing pipeline: 1) Compared to raw images from the decoded video, the compressed video, consisting of I-frames, motion vectors and residuals, is highly distinguishable, which allows us to leverage the entire video for learning without manual sampling through a specialized model design; 2) The captioning model is more efficient in inference as smaller and less redundant information is processed.
Ranked #8 on
Video Captioning
on VATEX
Lane Change Intention Recognition and Vehicle Status Prediction for Autonomous Vehicles
The results indicate that the classification accuracy of LC intention was improved from 96. 14% to 98. 20% when incorporating the attention mechanism into the TCN model.
Text with Knowledge Graph Augmented Transformer for Video Captioning
Meanwhile, the internal stream is designed to exploit the multi-modality information in videos (e. g., the appearance of video frames, speech transcripts, and video captions) to ensure the quality of caption results.
Ranked #7 on
Video Captioning
on YouCook2
Choosing Public Datasets for Private Machine Learning via Gradient Subspace Distance
We give an algorithm for selecting a public dataset by measuring a low-dimensional subspace distance between gradients of the public and private examples.
Dual-Stream Transformer for Generic Event Boundary Captioning
This paper describes our champion solution for the CVPR2022 Generic Event Boundary Captioning (GEBC) competition.
Explainable and Optimally Configured Artificial Neural Networks for Attack Detection in Smart Homes
Also, selection of right hyperparameters for ANN architecture plays a crucial role in the accurate detection of security attacks, especially when it come to identifying the subcategories of attacks.
BFpack: Flexible Bayes Factor Testing of Scientific Theories in R
There has been a tremendous methodological development of Bayes factors for hypothesis testing in the social and behavioral sciences, and related fields.
Computation
