11 papers
A VLM Answer Is Not an Anomaly Score: Rank Compression Across Image and Video Anomaly Detection
Inpyo Song, Jangwon Lee
Anomaly detection aims to identify observations that deviate from normal patterns. Recent work has increasingly used pretrained vision--language models (VLMs) for training-free ima…
Look Inside Each Video: Rethinking How Video Anomaly Detection Is Evaluated
Inpyo Song, Jangwon Lee
Video anomaly detection (VAD) aims to localize anomalous events by identifying when they occur. A common evaluation pools frame-level anomaly scores across all test videos and meas…
Rethinking Open-World Video Anomaly Detection: Diagnosing Definition Blindness
Inpyo Song, Jangwon Lee
Open-world video anomaly detection (OWVAD) aims to localize anomalous events in videos according to a user-specified definition. An OWVAD detector should therefore use the supplied…
Bounding-Box Trajectories Matter for Video Anomaly Detection
Inpyo Song, Jangwon Lee
Video anomaly detection is critical for public safety and security, yet remains highly challenging despite extensive research due to large variations in appearance, viewpoint, and…
Instance-Aligned Captions for Explainable Video Anomaly Detection
Inpyo Song, Minjun Joo, Joonhyung Kwon +2
Explainable video anomaly detection (VAD) is crucial for safety-critical applications, yet even with recent progress, much of the research still lacks spatial grounding, making the…
PCEval: A Benchmark for Evaluating Physical Computing Capabilities of Large Language Models
Inpyo Song, Eunji Jeon, Jangwon Lee
Large Language Models (LLMs) have demonstrated remarkable capabilities across various domains, including software development, education, and technical assistance. Among these, sof…
Real-time Traffic Accident Anticipation with Feature Reuse
Inpyo Song, Jangwon Lee
This paper addresses the problem of anticipating traffic accidents, which aims to forecast potential accidents before they happen. Real-time anticipation is crucial for safe autono…
PawPrint: Whose Footprints Are These? Identifying Animal Individuals by Their Footprints
Inpyo Song, Hyemin Hwang, Jangwon Lee
In the United States, as of 2023, pet ownership has reached 66% of households and continues to rise annually. This trend underscores the critical need for effective pet identificat…
Anomaly Detection for People with Visual Impairments Using an Egocentric 360-Degree Camera
Inpyo Song, Sanghyeon Lee, Minjun Joo +1
Recent advancements in computer vision have led to a renewed interest in developing assistive technologies for individuals with visual impairments. Although extensive research has…
SFTrack: A Robust Scale and Motion Adaptive Algorithm for Tracking Small and Fast Moving Objects
InPyo Song, Jangwon Lee
This paper addresses the problem of multi-object tracking in Unmanned Aerial Vehicle (UAV) footage. It plays a critical role in various UAV applications, including traffic monitori…
Video Question Answering for People with Visual Impairments Using an Egocentric 360-Degree Camera
Inpyo Song, Minjun Joo, Joonhyung Kwon +1
This paper addresses the daily challenges encountered by visually impaired individuals, such as limited access to information, navigation difficulties, and barriers to social inter…