{"total":66,"rows":[{"id":"2306.09310","title":"Infinite Photorealistic Worlds using Procedural Generation","created":"2023-06-15","cited_by_count":147,"area":null},{"id":"2306.02850","title":"TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environments","created":"2023-06-05","cited_by_count":91,"area":null},{"id":"2307.15700","title":"MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking","created":"2023-07-28","cited_by_count":88,"area":null},{"id":"2209.10510","title":"Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation","created":"2022-09-21","cited_by_count":67,"area":null},{"id":"2401.01454","title":"A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook","created":"2024-01-02","cited_by_count":66,"area":null},{"id":"2110.07588","title":"Playing for 3D Human Recovery","created":"2021-10-14","cited_by_count":64,"area":null},{"id":"2403.16848","title":"Multiple Object Tracking as ID Prediction","created":"2024-03-25","cited_by_count":60,"area":null},{"id":"2304.08408","title":"OVTrack: Open-Vocabulary Multiple Object Tracking","created":"2023-04-17","cited_by_count":53,"area":null},{"id":"2210.07681","title":"Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?","created":"2022-10-14","cited_by_count":29,"area":null},{"id":"2210.11940","title":"JRDB-Pose: A Large-scale Dataset for Multi-Person Pose Estimation and Tracking","created":"2022-10-20","cited_by_count":25,"area":null},{"id":"2301.12688","title":"Dynamic Storyboard Generation in an Engine-based Virtual Environment for Video Production","created":"2023-01-30","cited_by_count":21,"area":null},{"id":"2109.10498","title":"Less is More: Learning from Synthetic Data with Fine-grained Attributes for Person Re-Identification","created":"2021-09-22","cited_by_count":20,"area":null},{"id":"2207.05025","title":"PSP-HDRI$+$: A Synthetic Dataset Generator for Pre-Training of Human-Centric Computer Vision Models","created":"2022-07-11","cited_by_count":15,"area":null},{"id":"2211.02175","title":"Large Scale Real-World Multi-Person Tracking","created":"2022-11-03","cited_by_count":14,"area":null},{"id":"2308.11513","title":"TrackFlow: Multi-Object Tracking with Normalizing Flows","created":"2023-08-22","cited_by_count":13,"area":null},{"id":"2208.14167","title":"Synthehicle: Multi-Vehicle Multi-Camera Tracking in Virtual Cities","created":"2022-08-30","cited_by_count":12,"area":null},{"id":"2209.04796","title":"In Pursuit of Many: A Review of Modern Multiple Object Tracking Systems","created":"2022-09-11","cited_by_count":12,"area":null},{"id":"2303.17228","title":"Streaming Video Model","created":"2023-03-30","cited_by_count":10,"area":null},{"id":"2305.01732","title":"High-Resolution Synthetic RGB-D Datasets for Monocular Depth Estimation","created":"2023-05-02","cited_by_count":10,"area":null},{"id":"2309.12172","title":"SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset","created":"2023-09-21","cited_by_count":10,"area":null},{"id":"2312.02672","title":"Are Synthetic Data Useful for Egocentric Hand-Object Interaction Detection?","created":"2023-12-05","cited_by_count":10,"area":null},{"id":"2404.11426","title":"SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow","created":"2024-04-17","cited_by_count":7,"area":null},{"id":"2308.07537","title":"AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributes","created":"2023-08-15","cited_by_count":6,"area":null},{"id":"2312.06653","title":"Adaptive Human Trajectory Prediction via Latent Corridors","created":"2023-12-11","cited_by_count":5,"area":null},{"id":"2403.20225","title":"MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark","created":"2024-03-29","cited_by_count":5,"area":null},{"id":"2411.00553","title":"Is Multiple Object Tracking a Matter of Specialization?","created":"2024-11-01","cited_by_count":5,"area":null},{"id":"2403.17837","title":"GTA-HDR: A Large-Scale Synthetic Dataset for HDR Image Reconstruction","created":"2024-03-26","cited_by_count":4,"area":null},{"id":"2207.10031","title":"MOTCOM: The Multi-Object Tracking Dataset Complexity Metric","created":"2022-07-20","cited_by_count":2,"area":null},{"id":"2412.16742","title":"EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose","created":"2024-12-21","cited_by_count":2,"area":null},{"id":"2501.09281","title":"SoccerSynth-Detection: A Synthetic Dataset for Soccer Player Detection","created":"2025-01-16","cited_by_count":2,"area":null},{"id":"2506.00871","title":"Towards Predicting Any Human Trajectory In Context","created":"2025-06-01","cited_by_count":2,"area":null},{"id":"2506.14831","title":"Recent Advances in Multi-Agent Human Trajectory Prediction: A Comprehensive Review","created":"2025-06-13","cited_by_count":2,"area":null},{"id":"2205.05583","title":"TDT: Teaching Detectors to Track without Fully Annotated Videos","created":"2022-05-11","cited_by_count":1,"area":null},{"id":"2205.15609","title":"Bag of Tricks for Domain Adaptive Multi-Object Tracking","created":"2022-05-31","cited_by_count":1,"area":null},{"id":"2207.10719","title":"Synthetic Dataset Generation for Adversarial Machine Learning Research","created":"2022-07-21","cited_by_count":1,"area":null},{"id":"2304.07883","title":"Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification","created":"2023-04-16","cited_by_count":1,"area":null},{"id":"2306.09613","title":"UTOPIA: Unconstrained Tracking Objects without Preliminary Examination via Cross-Domain Adaptation","created":"2023-06-16","cited_by_count":1,"area":null},{"id":"2401.03191","title":"Monocular Per-Object Distance Estimation with Masked Object Modeling","created":"2024-01-06","cited_by_count":1,"area":null},{"id":"2501.10396","title":"AI-Powered CPS-Enabled Vulnerable-User-Aware Urban Transportation Digital Twin: Methods and Applications","created":"2024-12-30","cited_by_count":1,"area":null},{"id":"2605.18214","title":"EgoInteract: Synthetic Egocentric Videos Generation for Interaction Understanding and Anticipation","created":"2026-05-18","cited_by_count":1,"area":null},{"id":"2203.12919","title":"Learning Dense Correspondence from Synthetic Environments","created":"2022-03-24","cited_by_count":0,"area":null},{"id":"2204.07069","title":"Panoptic Segmentation using Synthetic and Real Data","created":"2022-04-14","cited_by_count":0,"area":null},{"id":"2205.10086","title":"People Tracking and Re-Identifying in Distributed Contexts: Extension Study of PoseTReID","created":"2022-05-20","cited_by_count":0,"area":null},{"id":"2206.13785","title":"3D Multi-Object Tracking with Differentiable Pose Estimation","created":"2022-06-28","cited_by_count":0,"area":null},{"id":"2207.11325","title":"PieTrack: An MOT solution based on synthetic data training and self-supervised domain adaptation","created":"2022-07-22","cited_by_count":0,"area":null},{"id":"2209.03625","title":"Application of image-to-image translation in improving pedestrian detection","created":"2022-09-08","cited_by_count":0,"area":null},{"id":"2303.00725","title":"OSRE: Object-to-Spot Rotation Estimation for Bike Parking Assessment","created":"2023-03-01","cited_by_count":0,"area":null},{"id":"2303.14653","title":"SDTracker: Synthetic Data Based Multi-Object Tracking","created":"2023-03-26","cited_by_count":0,"area":null},{"id":"2306.11710","title":"Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis","created":"2023-06-20","cited_by_count":0,"area":null},{"id":"2307.11360","title":"ParGANDA: Making Synthetic Pedestrians A Reality For Object Detection","created":"2023-07-21","cited_by_count":0,"area":null},{"id":"2312.02613","title":"A Unified Simulation Framework for Visual and Behavioral Fidelity in Crowd Analysis","created":"2023-12-05","cited_by_count":0,"area":null},{"id":"2405.16152","title":"SuDA: Support-based Domain Adaptation for Sim2Real Motion Capture with Flexible Sensors","created":"2024-05-25","cited_by_count":0,"area":null},{"id":"2411.00984","title":"Inter-Feature-Map Differential Coding of Surveillance Video","created":"2024-11-01","cited_by_count":0,"area":null},{"id":"2411.18644","title":"Scene Co-pilot: Procedural Text to Video Generation with Human in the Loop","created":"2024-11-26","cited_by_count":0,"area":null},{"id":"2412.01477","title":"Improving Object Detection by Modifying Synthetic Data with Explainable AI","created":"2024-12-02","cited_by_count":0,"area":null},{"id":"2501.01877","title":"ANTHROPOS-V: benchmarking the novel task of Crowd Volume Estimation","created":"2025-01-03","cited_by_count":0,"area":null},{"id":"2506.19341","title":"Trajectory Prediction in Dynamic Object Tracking: A Critical Study","created":"2025-06-24","cited_by_count":0,"area":null},{"id":"2603.29733","title":"Leveraging Synthetic Data for Enhancing Egocentric Hand-Object Interaction Detection","created":"2026-03-31","cited_by_count":0,"area":null},{"id":"2604.02032","title":"IndoorCrowd: A Multi-Scene Dataset for Human Detection, Segmentation, and Tracking with an Automated Annotation Pipeline","created":"2026-04-02","cited_by_count":0,"area":null},{"id":"2607.00861","title":"TrajLoc: Trajectory-Attention Localization for Multi-Object Motion Control","created":"2026-07-01","cited_by_count":0,"area":null},{"id":"2607.01396","title":"Computer Vision for Wildlife Monitoring: Detecting Brown Howler Monkeys using YOLO","created":"2026-07-01","cited_by_count":0,"area":null},{"id":"2607.04372","title":"Event Detection in Videos: A Framework for the Development of New Methods","created":"2026-07-05","cited_by_count":0,"area":null},{"id":"2609.05596","title":"Time-Aware Assistive Navigation","created":"2026-09-04","cited_by_count":0,"area":null},{"id":"2609.31896","title":"Auditing Quality Filters for Long-Tail Human Data Curation","created":"2026-09-25","cited_by_count":0,"area":null},{"id":"2609.38476","title":"Curating Synthetic Data for Task-Specific Visual Perception","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.08826","title":"PanoPed: Beyond Bounding Boxes for Sim-to-Real Panoramic Pedestrian Tracking","created":"2026-09-25","cited_by_count":0,"area":null}],"next_cursor":null}