1 citations · 1 across the 4 of their papers we have counts for
5 papers
Boosting Cross-spectral Unsupervised Domain Adaptation for Thermal Semantic Segmentation
Seokjun Kwon, Jeongmin Shin, Namil Kim +2
In autonomous driving, thermal image semantic segmentation has emerged as a critical research area, owing to its ability to provide robust scene understanding under adverse visual…
SafeShift: Safety-Informed Distribution Shifts for Robust Trajectory Prediction in Autonomous Driving
Benjamin Stoler, Ingrid Navarro, Meghdeep Jana +3
As autonomous driving technology matures, safety and robustness of its key components, including trajectory prediction, is vital. Though real-world datasets, such as Waymo Open Mot…
Instant Domain Augmentation for LiDAR Semantic Segmentation
Kwonyoung Ryu, Soonmin Hwang, Jaesik Park
Despite the increasing popularity of LiDAR sensors, perception algorithms using 3D LiDAR data struggle with the 'sensor-bias problem'. Specifically, the performance of perception a…
T2FPV: Dataset and Method for Correcting First-Person View Errors in Pedestrian Trajectory Prediction
Benjamin Stoler, Meghdeep Jana, Soonmin Hwang +1
Predicting pedestrian motion is essential for developing socially-aware robots that interact in a crowded environment. While the natural visual perspective for a social interaction…
StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection
Sanghyun Woo, Soonmin Hwang, In So Kweon
One-stage object detectors such as SSD or YOLO already have shown promising accuracy with small memory footprint and fast speed. However, it is widely recognized that one-stage det…