11 citations · 15 across the 4 of their papers we have counts for
4 papers · 1 filter
Strip-Fusion: Spatiotemporal Fusion for Multispectral Pedestrian Detection
Asiegbu Miracle Kanu-Asiegbu, Nitin Jotwani, Xiaoxiao Du
Pedestrian detection is a critical task in robot perception. Multispectral modalities (visible light and thermal) can boost pedestrian detection performance by providing complement…
MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian Detection
Xiangbo Gao, Asiegbu Miracle Kanu-Asiegbu, Xiaoxiao Du
This paper proposes MambaST, a plug-and-play cross-spectral spatial-temporal fusion pipeline for efficient pedestrian detection. Several challenges exist for pedestrian detection i…
BiPOCO: Bi-Directional Trajectory Prediction with Pose Constraints for Pedestrian Anomaly Detection
Asiegbu Miracle Kanu-Asiegbu, Ram Vasudevan, Xiaoxiao Du
We present BiPOCO, a Bi-directional trajectory predictor with POse COnstraints, for detecting anomalous activities of pedestrians in videos. In contrast to prior work based on feat…
Leveraging Trajectory Prediction for Pedestrian Video Anomaly Detection
Asiegbu Miracle Kanu-Asiegbu, Ram Vasudevan, Xiaoxiao Du
Video anomaly detection is a core problem in vision. Correctly detecting and identifying anomalous behaviors in pedestrians from video data will enable safety-critical applications…