Papers Person Re-Identification
“Person Re-Identification” 태그가 달린 논문 1,597편 · 필터 해제
Human-JEPA: A Human-Centric Vision Model that Perceives and Anticipates
Machines that understand humans should perceive the present and anticipate the future. Existing human-centric vision model are pretrained on human images, set the state of the art in static dense perception, so motion an…
Person Re-IdentificationPaths: Prompt-aware Spatio-temporal Transformer with Hierarchical Multi-modal Fusion for RGB-Event Video Person Re-Identification
RGB-Event Video Person Re-Identification (RE-VReID) aims to retrieve specific person across non-overlapping cameras with complementary RGB videos and event streams. However, existing methods often decouple spatial and te…
Person Re-IdentificationRepresentation LearningCollaborative Feature Aggregation for Face Super-Resolution and Robust Re-Identification
We propose a novel collaborative approach for face super-resolution (SR) and robust person re-identification from sequential or multi-view facial images. Traditional SR methods often suffer from blurring and distortion i…
Person Re-IdentificationImage RestorationANFI: Rethinking Neighbor Feature Interaction in Person Re-ID
In person re-identification, neighbor-based methods have achieved significant success by interacting with neighbor samples to obtain more robust representations. However, existing methods rely only on affinity relations,…
Person Re-IdentificationBlurring Modal Boundaries: A Unified Survey from Single- to Multi-Modal Person Re-ldentification
Person re-identification (ReID) serves as a critical component in intelligent surveillance systems, aiming to match identities across disjoint camera networks. While traditional methods primarily rely on single-modal RGB…
Person Re-IdentificationStructural-Semantic Reciprocal Learning for Unsupervised Visible-Infrared Person Re-Identification
Unsupervised visible-infrared person re-identification (USVI-ReID) is challenging due to the large modality gap and the lack of cross-modal identity annotations. Progressive association paradigms have been proposed to gr…
Person Re-IdentificationHiHR: Hierarchical Hyperbolic Representation for Aerial-Ground Person Re-Identification
Aerial-Ground Person Re-IDentification (AG-ReID) aims to retrieve the same person across heterogeneous aerial and ground camera platforms. Although great progress has been made, existing methods remain suboptimal due to …
Person Re-IdentificationSpatial-Temporal Expert Learning for Video-based Person Re-identification
Video-based person re-identification (Re-ID) aims to retrieve the same identity in the query video clips from the gallery video clips. To solve this problem, exploiting fine-grained features is of great importance, espec…
Person Re-IdentificationCross-Resolution Semantic Transfer for Robust Text-to-Image Retrieval in Low-Resolution Surveillance
Text-to-image person re-identification (TIPR) retrieves target persons using natural language descriptions. However, existing methods largely overlook resolution variance in real-world surveillance. They characterize cro…
Person Re-IdentificationImage RetrievalPrivacy-Preserving Person Re-Identification from Temporal Sequences with Transformer and Hungarian Optimization
Person re-identification (Re-ID) is a crucial task in surveillance and human behavior analysis, often used in public spaces such as transport hubs. Traditional RGB-based Re-ID methods raise privacy concerns and are highl…
Person Re-IdentificationTemporal SequencesLearning Instance-Adaptive Low-Rank Orthogonal Subspaces for Clothes-Changing Person Re-Identification
Clothes-changing person re-identification (CC-ReID) aims to recognize individuals despite drastic appearance changes caused by clothing variation. While existing methods rely on adversarial learning to disentangle clothi…
Person Re-IdentificationMFEN:Multi-Frequency Expert Network for Visible-Infrared Person Re-ID
Visible-infrared person re-identification (VI-ReID) is challenging due to the large modality discrepancy between visible and infrared images. We contend that this discrepancy is largely related to differing lighting cond…
Person Re-IdentificationRepresentation LearningTowards Resolving Optimization Conflicts Between Image- and Text-Based Person Re-Identification
The joint optimization of image-based (I2I) and text-based (T2I) person re-identification (ReID) is hindered by modality discrepancies and conflicting training objectives, leading to suboptimal shared representations. Wh…
Person Re-IdentificationCross-Modal RetrievalDual-Prompt CLIP with Hybrid Visual Encoders for Occluded Person Re-Identification
Occluded person re-identification focuses on matching partially visible pedestrians across multiple camera views. However, occlusions disrupt body-region cues, thereby complicating cross-view matching. Most person ReID m…
Person Re-IdentificationView-Aware Semantic Alignment for Aerial-Ground Person Re-Identification
Aerial-Ground Person Re-Identification (AGPReID) remains highly challenging due to drastic viewpoint variations between drones and fixed cameras. Existing methods typically follow a view-invariant paradigm, aligning shar…
Person Re-IdentificationBridging Data Trials and Task Barriers: A Unified Framework for Sketch Biometric Identification
Different from existing cross-modality identification tasks (e.g., heterogeneous face recognition, sketch re-identification, etc.), we introduce a novel yet practical setting for these related identification tasks, named…
Heterogeneous Face RecognitionPerson Re-IdentificationContinual LearningMind the Gap: Learning Modality-Agnostic Representations with a Cross-Modality UNet
Cross-modality recognition has many important applications in science, law enforcement and entertainment. Popular methods to bridge the modality gap include reducing the distributional differences of representations of d…
Person Re-IdentificationFace RecognitionDPM++: Dynamic Masked Metric Learning for Occluded Person Re-identification
Although person re-identification has made impressive progress, occlusion caused by obstacles remains an unsettled issue in real applications. The difficulty lies in the mismatch between incomplete occluded samples and h…
Person Re-IdentificationData AugmentationMetric LearningICPR 2026 Competition on Privacy-Preserving Person Re-Identification from Top-View RGB-Depth Camera (TVRID)
This companion paper reports the ICPR 2026 TVRID competition on privacy-aware top-view person re-identification. We present the competition setting, the released RGB-Depth dataset, and a summary of final results with des…
Person Re-IdentificationCross-Modal RetrievalPrompt-Anchored Vision-Text Distillation for Lifelong Person Re-identification
Lifelong person re-identification (LReID) aims to train a generalizable model with sequentially collected data. However, such models often suffer from semantic drift, limited adaptability, and catastrophic forgetting as …
Person Re-IdentificationDomain Generalization