Search Results for author:
Found 4 papers, 1 papers with code
Instant Domain Augmentation for LiDAR Semantic Segmentation
Despite the increasing popularity of LiDAR sensors, perception algorithms using 3D LiDAR data struggle with the 'sensor-bias problem'.
T2FPV: Dataset and Method for Correcting First-Person View Errors in Pedestrian Trajectory Prediction
To support first-person view trajectory prediction research, we present T2FPV, a method for constructing high-fidelity first-person view (FPV) datasets given a real-world, top-down trajectory dataset; we showcase our approach on the ETH/UCY pedestrian dataset to generate the egocentric visual data of all interacting pedestrians, creating the T2FPV-ETH dataset.
StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection
One-stage object detectors such as SSD or YOLO already have shown promising accuracy with small memory footprint and fast speed.
Multispectral Pedestrian Detection: Benchmark Dataset and Baseline
With this dataset, we introduce multispectral ACF, which is an extension of aggregated channel features (ACF) to simultaneously handle color-thermal image pairs.
