{"total":19,"rows":[{"id":"2204.09331","title":"NFormer: Robust Person Re-identification with Neighbor Transformer","created":"2022-04-20","cited_by_count":57,"area":null},{"id":"2211.16201","title":"Lifelong Person Re-Identification via Knowledge Refreshing and Consolidation","created":"2022-11-29","cited_by_count":26,"area":null},{"id":"2105.05639","title":"FlipReID: Closing the Gap between Training and Inference in Person Re-Identification","created":"2021-05-12","cited_by_count":16,"area":null},{"id":"2202.13121","title":"Person Re-identification: A Retrospective on Domain Specific Open Challenges and Future Trends","created":"2022-02-26","cited_by_count":15,"area":null},{"id":"2502.11267","title":"Prompting in the Dark: Assessing Human Performance in Prompt Engineering for Data Labeling When Gold Labels Are Absent","created":"2025-02-16","cited_by_count":15,"area":null},{"id":"2207.11759","title":"Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges","created":"2022-07-24","cited_by_count":12,"area":null},{"id":"2406.10942","title":"Effective Generative AI: The Human-Algorithm Centaur","created":"2024-06-16","cited_by_count":8,"area":null},{"id":"2504.09549","title":"SD-ReID: View-aware Stable Diffusion for Aerial-Ground Person Re-Identification","created":"2025-04-13","cited_by_count":7,"area":null},{"id":"2511.06658","title":"Active Learning for Animal Re-Identification with Ambiguity-Aware Sampling","created":"2025-11-10","cited_by_count":2,"area":null},{"id":"2112.13308","title":"Unsupervised Clustering Active Learning for Person Re-identification","created":"2021-12-26","cited_by_count":1,"area":null},{"id":"2307.03003","title":"Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts","created":"2023-07-06","cited_by_count":1,"area":null},{"id":"2412.00290","title":"Adapting the re-ID challenge for static sensors","created":"2024-11-30","cited_by_count":1,"area":null},{"id":"2101.06391","title":"Unsupervised Noisy Tracklet Person Re-identification","created":"2021-01-16","cited_by_count":0,"area":null},{"id":"2203.05395","title":"Annotation Efficient Person Re-Identification with Diverse Cluster-Based Pair Selection","created":"2022-03-10","cited_by_count":0,"area":null},{"id":"2210.11177","title":"Towards Better Guided Attention and Human Knowledge Insertion in Deep Convolutional Neural Networks","created":"2022-10-20","cited_by_count":0,"area":null},{"id":"2212.05510","title":"Mutimodal Ranking Optimization for Heterogeneous Face Re-identification","created":"2022-12-11","cited_by_count":0,"area":null},{"id":"2212.09981","title":"Benchmarking person re-identification datasets and approaches for practical real-world implementations","created":"2022-12-20","cited_by_count":0,"area":null},{"id":"2402.13771","title":"Mask-up: Investigating Biases in Face Re-identification for Masked Faces","created":"2024-02-21","cited_by_count":0,"area":null},{"id":"2603.05510","title":"Exploring Human-in-the-Loop Themes in AI Application Development: An Empirical Thematic Analysis","created":"2026-01-18","cited_by_count":0,"area":null}],"next_cursor":null}