6 papers
Multimodal Emergency Vehicle Classification via Audio-Visual Transformers and Knowledge Distillation
Vijay John, Amar Dabaja
Emergency vehicle detection in autonomous driving is a safety-critical perception task that demands robustness under diverse and adverse real-world conditions. Existing approaches…
TraRA: Trajectory-level Recognition Aggregation for Video Text Spotting in Urban Surveillance
Duc Tri Tran, Trung Thanh Nguyen, Vijay John +2
Video Text Spotting (VTS) is essential for urban surveillance and intelligent transportation systems, enabling automated reading of street signs, vehicle markings, and scene text i…
View-aware Cross-modal Distillation for Multi-view Action Recognition
Trung Thanh Nguyen, Yasutomo Kawanishi, Vijay John +2
The widespread use of multi-sensor systems has increased research in multi-view action recognition. While existing approaches in multi-view setups with fully overlapping sensors be…
MultiSensor-Home: A Wide-area Multi-modal Multi-view Dataset for Action Recognition and Transformer-based Sensor Fusion
Trung Thanh Nguyen, Yasutomo Kawanishi, Vijay John +2
Multi-modal multi-view action recognition is a rapidly growing field in computer vision, offering significant potential for applications in surveillance. However, current datasets…
MultiTSF: Transformer-based Sensor Fusion for Human-Centric Multi-view and Multi-modal Action Recognition
Trung Thanh Nguyen, Yasutomo Kawanishi, Vijay John +2
Action recognition from multi-modal and multi-view observations holds significant potential for applications in surveillance, robotics, and smart environments. However, existing me…
Multi-View Video-Based Learning: Leveraging Weak Labels for Frame-Level Perception
Vijay John, Yasutomo Kawanishi
For training a video-based action recognition model that accepts multi-view video, annotating frame-level labels is tedious and difficult. However, it is relatively easy to annotat…