Papers Video Retrieval
“Video Retrieval” 태그가 달린 논문 585편 · 필터 해제
World Embedding Benchmark
Physical fidelity has received increasing attention in world models and video generation, yet how video representations encode physical information remains less understood. We introduce the World Embedding Benchmark, com…
Video GenerationVideo RetrievalMulti-modal Knowledge Preserving Adapter for Embedding Backward Compatibility
Upgrading embedding models typically requires expensive database re-indexing, as new query embeddings are incompatible with existing database embeddings. While Backward Compatible Training (BCT) mitigates this by enforci…
Video RetrievalBeyond Similarity: Foundation Models as an Efficient Backbone for Training-Free Composed Video Retrieval
Composed video retrieval (CoVR) searches a gallery for the target video that realizes a natural-language modification of a source clip. However, at gallery scale, this creates a fundamental tension: compact embeddings en…
Video RetrievalTraVEL: Trajectory-Guided Video Embedding Learning for Driving-Video Retrieval
Efficiently retrieving relevant clips from large-scale driving logs is essential for data curation, model development, and safety analysis. Structured and rule-based retrieval systems can explicitly target driving events…
Video RetrievalDistribution-Alignment Bridge for Uncertainty-Aware Text-to-Video Retrieval
This paper proposes the Distribution-Alignment Bridge (DAB), a framework that reconceptualizes text-to-video retrieval as a distribution alignment task rather than traditional deterministic point matching. By modeling bo…
Video RetrievalVEGAS: Human-Aligned Video Caption Evaluation via Gaze
Vision-language models excel at video captioning, yet typically generate descriptions that fail to capture individual viewers' attention. We propose VEGAS (Video caption Evaluation via GAze Score), a training-free metric…
Video CaptioningVideo RetrievalQSVideo: Query-Conditioned Semantic Temporal Retrieval for Video Understanding
The performance of vision-language models (VLMs) in video understanding declines with increasing video duration, as video moments unrelated to the query confuse their language components. Multimodal retrieval has emerged…
Video RetrievalVideoSearch-R1: Iterative Video Retrieval and Reasoning via Soft Query Refinement
As video corpora continue to expand in both scale and task complexity, there is increasing demand for approaches that retrieve relevant videos from large-scale corpora (inter-video reasoning) and subsequently perform fin…
Moment RetrievalVideo RetrievalReal-time pedestrian attribute recognition with YOLOv8 and ResNet18
Pedestrian attribute recognition (PAR) assigns semantic labels to detected pedestrians and is useful in surveillance, video retrieval, and human-centered graphics applications. This paper presents a two-stage framework i…
Pedestrian Attribute RecognitionVideo RetrievalVortex: Multi-Modal Fusion System for Intelligent Video Retrieval
This paper presents Vortex, the multimodal video retrieval system developed by our team, FocusOnFun, for the Ho Chi Minh City AI Challenge 2025, designed to advance intelligent multimedia search and temporal reasoning. T…
Video RetrievalUNIEGO: Proxies as Mediators for Unified Egocentric Video Representation Learning
Egocentric video understanding is inherently limited by the narrow perspective of wearable cameras: a single viewpoint, a single modality, a single model cannot capture the full richness of human action. We argue that a …
Representation LearningAction SegmentationAction RecognitionVideo RetrievalDREAM: Extending Vision-Language Models with Dual-Objective Encoding for Cross-Modal Retrieval
In today's media-driven world, the exponential growth of video content across domains such as surveillance, education, and entertainment has made retrieving semantically relevant videos via natural language queries incre…
Natural Language QueriesRepresentation LearningCross-Modal RetrievalVideo RetrievalReasoning Text-to-Video Retrieval for Operating Room Clips via Action-Driven Digital Twins
Text-to-video retrieval in operating rooms (OR) is an enabling technology for OR safety, as it allows stakeholders to retrieve and inspect recordings of specific events. However, because the most safety-critical events m…
Video RetrievalFindings of the MAGMaR 2026 Shared Task
This overview paper presents the results of the shared task for the second workshop on Multimodal Augmented Generation via Multimodal Retrieval (MAGMaR). In this shared task participants submitted systems focused on eith…
Video RetrievalDriving Video Retrieval for Complex Queries with Structured Grounding
Video retrieval at scale is central to data curation and safety validation in autonomous driving, where users want to find not only scenes but also dynamic events such as cut-ins and hard braking. Existing vision-languag…
Autonomous DrivingVideo RetrievalMAVIS: Multi-Agent Video Retrieval via Structured Video Understanding
The dominant paradigm in video retrieval relies on embedding-based full-corpus scanning, which suffers from inherent computational inefficiency and the semantic asymmetry between information-dense videos and sparse textu…
Video RetrievalDecoupling Semantics and Logic: A Training-Free Coarse-to-Fine Pipeline for Video Retrieval-Augmented Generation
This paper presents our system description for the 2nd Workshop on Multimodal Augmented Generation via MultimodAl Retrieval (MAGMaR). Addressing the critical challenges of cross-lingual long-video comprehension, strict p…
Information RetrievalSemantic RetrievalLogical ReasoningVideo RetrievalIMAGINE: Adaptive Schema-Imagery Enhanced Composition for Composed Video Retrieval
Composed Video Retrieval (CVR) is designed to retrieve a target video that matches a reference video modified by a modification text. While existing methods explore cross-modal correspondences, they often assume modified…
Image RetrievalVideo RetrievalTraining-Free Composed Video Retrieval via Visual Representation-Guided Video-LLM Reasoning
Recent advances in large vision-language models have expanded video retrieval from simple text-based search to more flexible scenarios, where users may specify the desired result through both visual examples and textual …
Video RetrievalReason-Then-Retrieve for CoVR-R with Structured Edit Prompts and Dense-Sparse Fusion
CoVR-R studies reason-aware composed video retrieval: given a reference video and an edit instruction, the system must retrieve the target video that satisfies the edit. The main difficulty is that the target is not desc…
Video Retrieval