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Found 11 papers, 0 papers with code
Density-Guided Label Smoothing for Temporal Localization of Driving Actions
Temporal localization of driving actions plays a crucial role in advanced driver-assistance systems and naturalistic driving studies.
Transformer-based Fusion of 2D-pose and Spatio-temporal Embeddings for Distracted Driver Action Recognition
The model uses 2D-pose features as the positional embedding of the transformer architecture and spatio-temporal features as the main input to the encoder of the transformer.
Detection of Object Throwing Behavior in Surveillance Videos
Second, we compare the performance of different feature extractors for our anomaly detection method on the UCF-Crime and Throwing-Action datasets.
Automated Camera Calibration via Homography Estimation with GNNs
We propose a framework involving the generation of a set of synthetic intersection viewpoint images from a bird's-eye-view image, framed as a graph of virtual cameras to model these images.
Dual Embedding Expansion for Vehicle Re-identification
In contrast, our work concentrates on re-ranking and embedding expansion techniques.
Contextual Pyramid Attention Network for Building Segmentation in Aerial Imagery
Building extraction from aerial images has several applications in problems such as urban planning, change detection, and disaster management.
Adversarial Loss for Semantic Segmentation of Aerial Imagery
We also perform ablation studies to understand the impact of the adversarial loss.
Aggregated Deep Local Features for Remote Sensing Image Retrieval
In this paper, we present an image retrieval pipeline that uses attentive, local convolutional features and aggregates them using the Vector of Locally Aggregated Descriptors (VLAD) to produce a global descriptor.
LiDAR-assisted Large-scale Privacy Protection in Street-view Cycloramas
We propose a system that is cost-effective even after increasing the resolution by a factor of 2. 5.
Towards Accurate Camera Geopositioning by Image Matching
The matching of the query image is obtained with a recall@5 larger than 90% for panorama-to-panorama matching.
Bootstrapped CNNs for Building Segmentation on RGB-D Aerial Imagery
Detection of buildings and other objects from aerial images has various applications in urban planning and map making.
