4 citations · 4 across the 7 of their papers we have counts for
8 papers
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…
Action Motifs: Self-Supervised Hierarchical Representation of Human Body Movements
Genki Kinoshita, Shu Nakamura, Ryo Kawahara +3
Effective human behavior modeling requires a representation of the human body movement that capitalizes on its compositionality. We propose a hierarchical representation consisting…
SelectAnyTree: A Promptable Instance Segmentation Model for 3D Forest LiDAR Point Clouds
Trung Thanh Nguyen, Daniel Lusk, Kilian Gerberding +10
Instance segmentation of trees in forest LiDAR point clouds is constrained by label scarcity: A single hectare holds millions of points and hundreds of overlapping tree crowns, mak…
REACH: Hand Pose Estimation from Room Corners
Shu Nakamura, Ryo Kawahara, Genki Kinoshita +4
We introduce a novel 3D hand pose estimator that can accurately recover the shape and pose of people's hands in a room from afar, typically from fixed cameras at room corners, in e…
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…
Infrared bubble recognition in the Milky Way and beyond using deep learning
Shimpei Nishimoto, Toshikazu Onishi, Atsushi Nishimura +9
We propose a deep learning model that can detect Spitzer bubbles accurately using two-wavelength near-infrared data acquired by the Spitzer Space Telescope and JWST. The model is b…