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manifolds,2008,30,10,1713-1727,Tuzel Identifying Behaviors in Crowd Scenes Using Stability Analysis for Dynamical Systems,2012,34,10,2064-2070,Solmaz Recursive 3-D road and relative ego-state recognition,1992,14,2,199-213,Dickmanns Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes,2013,35,4,882-897,Schindler Human pose co-estimation and applications,2012,34,11,2282-2288,Ferrari Anomaly detection and localization in crowded scenes,2013,ePub,ePub,ePub,Li Scene-specific pedestrian detection for static video surveillance,2013,ePub,ePub,ePub,Li Virtual and real world adaptation for pedestrian detection,2013,ePub,ePub,ePub,Gerónimo 3D traffic scene understanding from movable platforms,2013,ePub,ePub,ePub,Wojek Anomaly detection and localization in crowded scenes,2014,36,1,18-32,Li Scene-specific pedestrian detection for static video surveillance,2014,36,2,361-374,Li Pedestrian detection with spatially pooled features and structured ensemble learning,2015,38,6,1243-1257,Paisitkriangkrai Single-pedestrian detection aided by two-pedestrian detection,2015,37,9,1875-1889,Wang On reducing the effect of covariate factors in gait recognition: a classifier ensemble method,2015,37,7,1521-1528,Yu Guan Actions in the eye: dynamic gaze datasets and learnt saliency models for visual recognition,2015,37,7,1408-1424,Mathe Towards making unlabeled data never hurt,2015,37,1,175-188,Yu-Feng Li Multi-commodity network flow for tracking multiple people,2014,36,8,1614-1627,Fua Measuring crowd collectiveness,2014,36,8,1586-1599,Bolei Zhou A Bayesian additive model for understanding public transport usage in special events,2016,ePub,ePub,ePub,Rodrigues L0 regularized stationary-time estimation for crowd analysis,2016,39,5,981-994,Wang Towards reaching human performance in pedestrian detection,2018,40,4,973-986,Schiele Jointly learning deep features deformable parts occlusion and classification for pedestrian detection,2018,40,8,1874-1887,Wang EuroCity persons: a novel benchmark for person detection in traffic scenes,2019,ePub,ePub,ePub,Flohr Learning Complexity-Aware Cascades for Pedestrian Detection,2019,ePub,ePub,ePub,Vasconcelos Social-aware pedestrian trajectory prediction via states refinement LSTM,2020,ePub,ePub,ePub,Zheng From handcrafted to deep features for pedestrian detection: a survey,2021,ePub,ePub,ePub,Cao Detailed 3d representations for object recognition and modeling,2013,35,11,2608-2623,Schindler SEEM: a sequence entropy energy-based model for pedestrian trajectory all-then-one prediction,2022,ePub,ePub,ePub,Wang DoTA: unsupervised detection of traffic anomaly in driving videos,2022,ePub,ePub,ePub,Atkins ROAD: the ROad event Awareness Dataset for autonomous Driving,2022,ePub,ePub,ePub,Bradley MetaDrive: composing diverse driving scenarios for generalizable reinforcement learning,2022,ePub,ePub,ePub,Li Incidents1M: a large-scale dataset of images with natural disasters damage and incidents,2022,ePub,ePub,ePub,Torralba Simultaneously optimizing perturbations and positions for black-box adversarial patch attacks,2022,ePub,ePub,ePub,Guo Representing multimodal behaviors with mean location for pedestrian trajectory prediction,2023,ePub,ePub,ePub,Tang Prescribed safety performance imitation learning from a single expert dataset,2023,ePub,ePub,ePub,Du DROID: Driver-Centric Risk Object IDentification,2023,ePub,ePub,ePub,Chen HDGT: heterogeneous driving graph transformer for multi-agent trajectory prediction via scene encoding,2023,ePub,ePub,ePub,Chen Fear-neuro-inspired reinforcement learning for safe autonomous driving,2023,ePub,ePub,ePub,Wang Vehicle perception from satellite,2023,ePub,ePub,ePub,Zhao Detecting road obstacles by erasing them,2023,ePub,ePub,ePub,Fua Towards unified robustness against both backdoor and adversarial attacks,2024,ePub,ePub,ePub,Hua What makes deviant places?,2024,ePub,ePub,ePub,Park Artificial intelligence and machine learning tools for 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