Papers Person Search
“Person Search” 태그가 달린 논문 152편 · 필터 해제
ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search
Text-Based Person Search (TBPS) aims to retrieve pedestrian images using natural language queries. However, existing TBPS models, especially those based on CLIP, struggle with fine-grained understanding due to global rep…
Natural Language QueriesContrastive LearningPerson SearchARGOS: Who, Where, and When in Agentic Multi-Camera Person Search
Existing person search methods assume access to complete visual queries or exhaustive tracking, yet real-world witness accounts are vague, partial, and spread across cameras and time. We introduce ARGOS (Agentic Retrieva…
Spatial ReasoningPerson SearchHarnessing Weak Pair Uncertainty for Text-based Person Search
In this paper, we study the text-based person search, which is to retrieve the person of interest via natural language description. Prevailing methods usually focus on the strict one-to-one correspondence pair matching b…
Contrastive LearningImage-text matchingPerson SearchPretrain-then-Adapt: Uncertainty-Aware Test-Time Adaptation for Text-based Person Search
Text-based person search faces inherent limitations due to data scarcity, driven by stringent privacy constraints and the high cost of manual annotation. To mitigate this, existing methods usually rely on a Pretrain-then…
Test-time AdaptationImage RetrievalPerson SearchA Consensus-Driven Multi-LLM Pipeline for Missing-Person Investigations
The first 72 hours of a missing-person investigation are critical for successful recovery. Guardian is an end-to-end system designed to support missing-child investigation and early search planning. This paper presents t…
Information ExtractionPerson SearchCONQUER: Context-Aware Representation with Query Enhancement for Text-Based Person Search
Text-Based Person Search (TBPS) aims to retrieve pedestrian images from large galleries using natural language descriptions. This task, essential for public safety applications, is hindered by cross-modal discrepancies a…
Person SearchICON: Invariant Counterfactual Optimization with Neuro-Symbolic Priors for Text-Based Person Search
Text-Based Person Search (TBPS) holds unique value in real-world surveillance bridging visual perception and language understanding, yet current paradigms utilizing pre-training models often fail to transfer effectively …
Person SearchUnified Multi-Dataset Training for TBPS
Text-Based Person Search (TBPS) has seen significant progress with vision-language models (VLMs), yet it remains constrained by limited training data and the fact that VLMs are not inherently pre-trained for pedestrian-c…
Person SearchITSELF: Attention Guided Fine-Grained Alignment for Vision-Language Retrieval
Vision Language Models (VLMs) have rapidly advanced and show strong promise for text-based person search (TBPS), a task that requires capturing fine-grained relationships between images and text to distinguish individual…
Person SearchLeveraging Prior Knowledge of Diffusion Model for Person Search
Person search aims to jointly perform person detection and re-identification by localizing and identifying a query person within a gallery of uncropped scene images. Existing methods predominantly utilize ImageNet pre-tr…
Person SearchChat-Driven Text Generation and Interaction for Person Retrieval
Text-based person search (TBPS) enables the retrieval of person images from large-scale databases using natural language descriptions, offering critical value in surveillance applications. However, a major challenge lies…
Person RetrievalText GenerationPerson SearchAnomalyLMM: Bridging Generative Knowledge and Discriminative Retrieval for Text-Based Person Anomaly Search
With growing public safety demands, text-based person anomaly search has emerged as a critical task, aiming to retrieve individuals with abnormal behaviors via natural language descriptions. Unlike conventional person se…
Saliency PredictionAnomaly DetectionPerson SearchCLIPVehicle: A Unified Framework for Vision-based Vehicle Search
Vehicles, as one of the most common and significant objects in the real world, the researches on which using computer vision technologies have made remarkable progress, such as vehicle detection, vehicle re-identificatio…
Vehicle Re-IdentificationPerson SearchDynamic Uncertainty Learning with Noisy Correspondence for Text-Based Person Search
Text-to-image person search aims to identify an individual based on a text description. To reduce data collection costs, large-scale text-image datasets are created from co-occurrence pairs found online. However, this ca…
Person SearchRetrievalText based Person SearchUncertainty-Aware Prototype Semantic Decoupling for Text-Based Person Search in Full Images
Text-based pedestrian search (TBPS) in full images aims to locate a target pedestrian in untrimmed images using natural language descriptions. However, in complex scenes with multiple pedestrians, existing methods are li…
Person SearchText based Person SearchSeCap: Self-Calibrating and Adaptive Prompts for Cross-view Person Re-Identification in Aerial-Ground Networks
When discussing the Aerial-Ground Person Re-identification (AGPReID) task, we face the main challenge of the significant appearance variations caused by different viewpoints, making identity matching difficult. To addres…
Person Re-IdentificationPerson SearchBoosting Weak Positives for Text Based Person Search
Large vision-language models have revolutionized cross-modal object retrieval, but text-based person search (TBPS) remains a challenging task due to limited data and fine-grained nature of the task. Existing methods prim…
Person SearchText based Person SearchMixture of Submodules for Domain Adaptive Person Search
Existing technique on domain adaptive person search commonly utilizes the unified framework for jointly localizing and identifying the person across domains. This framework, however, inevitably results in the gradien…
Human DetectionPerson Re-IdentificationPerson SearchTransfer LearningImproving Text-based Person Search via Part-level Cross-modal Correspondence
Text-based person search is the task of finding person images that are the most relevant to the natural language text description given as query. The main challenge of this task is a large gap between the target images a…
DecoderPerson SearchText based Person SearchEnhancing Visual Representation for Text-based Person Searching
Text-based person search aims to retrieve the matched pedestrians from a large-scale image database according to the text description. The core difficulty of this task is how to extract effective details from pedestrian …
cross-modal alignmentPerson SearchText based Person Search