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20072026
most citedLearning Quadrupedal Locomotion over Challenging Terrain

1.1k citations

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40 papers · 1 filter

cs.CV2025

High Dimensional Data Decomposition for Anomaly Detection of Textured Images

Ji Song, Xing Wang, Jianguo Wu +1

In the realm of diverse high-dimensional data, images play a significant role across various processes of manufacturing systems where efficient image anomaly detection has emerged…

cs.CV2025★ 2 cited

GL-DT: Multi-UAV Detection and Tracking with Global-Local Integration

Juanqin Liu, Leonardo Plotegher, Eloy Roura +1

The extensive application of unmanned aerial vehicles (UAVs) in military reconnaissance, environmental monitoring, and related domains has created an urgent need for accurate and e…

cs.CV2025

Calibrating the Full Predictive Class Distribution of 3D Object Detectors for Autonomous Driving

Cornelius Schröder, Marius-Raphael Schlüter, Markus Lienkamp

In autonomous systems, precise object detection and uncertainty estimation are critical for self-aware and safe operation. This work addresses confidence calibration for the classi…

cs.CV2025★ 1 cited

VibES: Induced Vibration for Persistent Event-Based Sensing

Vincenzo Polizzi, Stephen Yang, Quentin Clark +3

Event cameras are a bio-inspired class of sensors that asynchronously measure per-pixel intensity changes. Under fixed illumination conditions in static or low-motion scenes, rigid…

cs.CV2025

PLOT: Pseudo-Labeling via Object Tracking for Monocular 3D Object Detection

Seokyeong Lee, Sithu Aung, Junyong Choi +3

Monocular 3D object detection is crucial for scalable perception across fields like autonomous driving, robotics, and surveillance. However, progress is hindered by limited 3D anno…

cs.CV2025★ 2 cited

A Multi-Sensor Fusion Approach for Rapid Orthoimage Generation in Large-Scale UAV Mapping

Jialei He, Zhihao Zhan, Zhituo Tu +2

Rapid generation of large-scale orthoimages from Unmanned Aerial Vehicles (UAVs) has been a long-standing focus of research in the field of aerial mapping. A multi-sensor UAV syste…