📝 Publications
20 entries in total. You can also find them on Google Scholar, or download the full CV (PDF). ← Back to selected publications
International Conference Papers 8
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Bounding-Box Trajectories Matter for Video Anomaly Detection
@inproceedings{song2026bbox, title = {Bounding-Box Trajectories Matter for Video Anomaly Detection}, author = {Song, Inpyo and Lee, Jangwon}, booktitle = {European Conference on Computer Vision (ECCV)}, year = {2026} } -
Real-Time Traffic Accident Anticipation with Feature Reuse
@inproceedings{song2025rare, title = {Real-Time Traffic Accident Anticipation with Feature Reuse}, author = {Song, Inpyo and Lee, Jangwon}, booktitle = {IEEE International Conference on Image Processing (ICIP)}, year = {2025} } -
PawPrint: Whose Footprints Are These? Identifying Animal Individuals by Their Footprints
@inproceedings{song2025pawprint, title = {PawPrint: Whose Footprints Are These? Identifying Animal Individuals by Their Footprints}, author = {Song, Inpyo and Hwang, Hyemin and Lee, Jangwon}, booktitle = {IEEE International Conference on Image Processing (ICIP)}, year = {2025} } -
Anomaly Detection for People with Visual Impairments Using an Egocentric 360-Degree Camera
@inproceedings{song2025view360, title = {Anomaly Detection for People with Visual Impairments Using an Egocentric 360-Degree Camera}, author = {Song, Inpyo and Lee, Sanghyeon and Joo, Minjun and Lee, Jangwon}, booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)}, year = {2025} } -
SFTrack: A Robust Scale and Motion Adaptive Algorithm for Tracking Small and Fast Moving Objects
@inproceedings{song2024sftrack, title = {SFTrack: A Robust Scale and Motion Adaptive Algorithm for Tracking Small and Fast Moving Objects}, author = {Song, Inpyo and Lee, Jangwon}, booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, year = {2024} } -
Motion-Aware Heatmap Regression for Human Pose Estimation in Videos
@inproceedings{song2024motionaware, title = {Motion-Aware Heatmap Regression for Human Pose Estimation in Videos}, author = {Song, Inpyo and Lee, Jongmin and Ryu, Moonwook and Lee, Jangwon}, booktitle = {International Joint Conference on Artificial Intelligence (IJCAI)}, year = {2024} } -
Video Question Answering for People with Visual Impairments Using an Egocentric 360-Degree Camera
@inproceedings{song2024vqa360, title = {Video Question Answering for People with Visual Impairments Using an Egocentric 360-Degree Camera}, author = {Song, Inpyo and Joo, Minjun and Kwon, Joonhyung and Lee, Jangwon}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)}, year = {2024} } -
Scale and Motion Adaptive Multi-Object Tracking Algorithm for Unmanned Aerial Vehicles
@inproceedings{song2023uav, title = {Scale and Motion Adaptive Multi-Object Tracking Algorithm for Unmanned Aerial Vehicles}, author = {Song, Inpyo and Lee, Jangwon}, booktitle = {IEEE International Conference on Robot \& Human Interactive Communication (RO-MAN), Late-Breaking Reports}, year = {2023} }
International Journal Papers 1
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Action-Conditioned Contrastive Learning for 3D Human Pose and Shape Estimation in Videos
@article{song2024acmr, title = {Action-Conditioned Contrastive Learning for 3D Human Pose and Shape Estimation in Videos}, author = {Song, Inpyo and Ryu, Moonwook and Lee, Jangwon}, journal = {Computer Vision and Image Understanding (CVIU)}, year = {2024} }
Domestic Conference Papers 4
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Probing H.264 Compressed-Domain Signals for Video Anomaly Detection
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A Study on Synthetic Data Generation and Evaluation for Pose Estimation in Surveillance Videos
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Smooth and Consistent Pose Estimation with Intersections Module
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Multi-Task Learning in Facial Kinship Verification
Domestic Journal Papers 2
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Teacher Response Entropy Based Adaptive Knowledge Distillation
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Rule-Based Zero-Shot Video Anomaly Detection Using Object Detection and Semantic Segmentation
Preprints & Manuscripts Under Review 5
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Rethinking Open-World Video Anomaly Detection: Diagnosing Definition Blindness
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Instance-Aligned Captions for Explainable Video Anomaly Detection
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PCEval: A Benchmark for Evaluating Physical Computing Capabilities of Large Language Models
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A VLM Answer is Not an Anomaly Score: Rank Compression in Training-Free Video Anomaly Detection
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Frame-Level Evaluation in Weakly Supervised Video Anomaly Detection Mostly Measures Video-Level Ranking