{"total":21,"rows":[{"id":"2303.02936","title":"UniHCP: A Unified Model for Human-Centric Perceptions","created":"2023-03-06","cited_by_count":59,"area":null},{"id":"2305.08386","title":"PLIP: Language-Image Pre-training for Person Representation Learning","created":"2023-05-15","cited_by_count":49,"area":null},{"id":"2303.05675","title":"HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining","created":"2023-03-10","cited_by_count":38,"area":null},{"id":"2310.20695","title":"HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception","created":"2023-10-31","cited_by_count":33,"area":null},{"id":"2312.01697","title":"Hulk: A Universal Knowledge Translator for Human-Centric Tasks","created":"2023-12-04","cited_by_count":22,"area":null},{"id":"2308.15226","title":"CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation","created":"2023-08-29","cited_by_count":14,"area":null},{"id":"2312.01640","title":"SequencePAR: Understanding Pedestrian Attributes via A Sequence Generation Paradigm","created":"2023-12-04","cited_by_count":13,"area":null},{"id":"2307.15252","title":"A Solution to Co-occurrence Bias: Attributes Disentanglement via Mutual Information Minimization for Pedestrian Attribute Recognition","created":"2023-07-28","cited_by_count":10,"area":null},{"id":"2408.09720","title":"Pedestrian Attribute Recognition: A New Benchmark Dataset and A Large Language Model Augmented Framework","created":"2024-08-19","cited_by_count":10,"area":null},{"id":"2405.04858","title":"Pedestrian Attribute Recognition as Label-balanced Multi-label Learning","created":"2024-05-08","cited_by_count":8,"area":null},{"id":"2504.10018","title":"RGB-Event based Pedestrian Attribute Recognition: A Benchmark Dataset and An Asymmetric RWKV Fusion Framework","created":"2025-04-14","cited_by_count":7,"area":null},{"id":"2404.01976","title":"Joint-Task Regularization for Partially Labeled Multi-Task Learning","created":"2024-04-02","cited_by_count":6,"area":null},{"id":"2303.14643","title":"POAR: Towards Open Vocabulary Pedestrian Attribute Recognition","created":"2023-03-26","cited_by_count":3,"area":null},{"id":"2304.05554","title":"Learning Transferable Pedestrian Representation from Multimodal Information Supervision","created":"2023-04-12","cited_by_count":3,"area":null},{"id":"2506.22836","title":"FOCUS: Fine-grained Optimization with Semantic Guided Understanding for Pedestrian Attributes Recognition","created":"2025-06-28","cited_by_count":2,"area":null},{"id":"2507.17588","title":"Dual-branch Prompting for Multimodal Machine Translation","created":"2025-07-23","cited_by_count":2,"area":null},{"id":"2509.22331","title":"Pedestrian Attribute Recognition via Hierarchical Cross-Modality HyperGraph Learning","created":"2025-09-26","cited_by_count":2,"area":null},{"id":"2412.14643","title":"RefHCM: A Unified Model for Referring Perceptions in Human-Centric Scenarios","created":"2024-12-19","cited_by_count":1,"area":null},{"id":"2506.18544","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","created":"2025-06-23","cited_by_count":0,"area":null},{"id":"2603.05114","title":"UniPAR: A Unified Framework for Pedestrian Attribute Recognition","created":"2026-03-05","cited_by_count":0,"area":null},{"id":"2603.19565","title":"PFM-VEPAR: Prompting Foundation Models for RGB-Event Camera based Pedestrian Attribute Recognition","created":"2026-03-20","cited_by_count":0,"area":null}],"next_cursor":null}