{"total":18,"rows":[{"id":"2208.00780","title":"Visual correspondence-based explanations improve AI robustness and human-AI team accuracy","created":"2022-07-26","cited_by_count":39,"area":null},{"id":"2205.13042","title":"How explainable are adversarially-robust CNNs?","created":"2022-05-25","cited_by_count":9,"area":null},{"id":"2211.14742","title":"Dynamic Feature Pruning and Consolidation for Occluded Person Re-Identification","created":"2022-11-27","cited_by_count":7,"area":null},{"id":"2304.11436","title":"Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack","created":"2023-04-22","cited_by_count":7,"area":null},{"id":"2405.01101","title":"Enhancing person re-identification via Uncertainty Feature Fusion Method and Auto-weighted Measure Combination","created":"2024-05-02","cited_by_count":6,"area":null},{"id":"2303.08866","title":"EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models","created":"2023-03-15","cited_by_count":5,"area":null},{"id":"2311.02803","title":"Fast and Interpretable Face Identification for Out-Of-Distribution Data Using Vision Transformers","created":"2023-11-06","cited_by_count":4,"area":null},{"id":"2308.13651","title":"PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans","created":"2023-08-25","cited_by_count":3,"area":null},{"id":"2203.14461","title":"OTFace: Hard Samples Guided Optimal Transport Loss for Deep Face Representation","created":"2022-03-28","cited_by_count":2,"area":null},{"id":"2509.04050","title":"A Re-ranking Method using K-nearest Weighted Fusion for Person Re-identification","created":"2025-09-04","cited_by_count":2,"area":null},{"id":"2512.01080","title":"Building Trustworthy AI for Materials Discovery: From Autonomous Laboratories to Z-scores","created":"2025-11-30","cited_by_count":2,"area":null},{"id":"2212.13038","title":"A Survey of Face Recognition","created":"2022-12-26","cited_by_count":1,"area":null},{"id":"2306.09858","title":"Prototype Learning for Explainable Brain Age Prediction","created":"2023-06-16","cited_by_count":0,"area":null},{"id":"2406.06340","title":"Optimisation of federated learning settings under statistical heterogeneity variations","created":"2024-06-10","cited_by_count":0,"area":null},{"id":"2505.04306","title":"MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition","created":"2025-05-07","cited_by_count":0,"area":null},{"id":"2511.16364","title":"DetailSemNet: Elevating Signature Verification through Detail-Semantic Integration","created":"2025-11-20","cited_by_count":0,"area":null},{"id":"2607.13187","title":"MGFace: Mask-Gated Face Matching via Conditional Similarity Routing","created":"2026-07-14","cited_by_count":0,"area":null},{"id":"2609.02776","title":"Video-Based Palm-Vein Authentication under Challenging Conditions","created":"2026-09-02","cited_by_count":0,"area":null}],"next_cursor":null}