{"total":96,"rows":[{"id":"2303.10826","title":"Visual Prompt Multi-Modal Tracking","created":"2023-03-20","cited_by_count":142,"area":null},{"id":"2204.04120","title":"Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline","created":"2022-04-08","cited_by_count":91,"area":null},{"id":"2304.05172","title":"LRRNet: A Novel Representation Learning Guided Fusion Network for Infrared and Visible Images","created":"2023-04-11","cited_by_count":87,"area":null},{"id":"2311.15851","title":"Single-Model and Any-Modality for Video Object Tracking","created":"2023-11-27","cited_by_count":65,"area":null},{"id":"2403.09634","title":"OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning","created":"2024-03-14","cited_by_count":65,"area":null},{"id":"2207.14571","title":"Prompting for Multi-Modal Tracking","created":"2022-07-29","cited_by_count":59,"area":null},{"id":"2312.10611","title":"Bi-directional Adapter for Multi-modal Tracking","created":"2023-12-17","cited_by_count":46,"area":null},{"id":"2403.16002","title":"SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking","created":"2024-03-24","cited_by_count":44,"area":"distill"},{"id":"2309.01728","title":"Generative-based Fusion Mechanism for Multi-Modal Tracking","created":"2023-09-04","cited_by_count":33,"area":null},{"id":"2401.01244","title":"Temporal Adaptive RGBT Tracking with Modality Prompt","created":"2024-01-02","cited_by_count":30,"area":null},{"id":"2507.20177","title":"Towards Universal Modal Tracking with Online Dense Temporal Token Learning","created":"2025-07-27","cited_by_count":30,"area":null},{"id":"2406.14482","title":"Visible-Thermal Tiny Object Detection: A Benchmark Dataset and Baselines","created":"2024-06-20","cited_by_count":27,"area":null},{"id":"2201.08673","title":"Exploring Fusion Strategies for Accurate RGBT Visual Object Tracking","created":"2022-01-21","cited_by_count":26,"area":null},{"id":"2304.14394","title":"Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking","created":"2023-04-27","cited_by_count":21,"area":null},{"id":"2405.17773","title":"XTrack: Multimodal Training Boosts RGB-X Video Object Trackers","created":"2024-05-28","cited_by_count":21,"area":null},{"id":"2312.16244","title":"Modality-missing RGBT Tracking: Invertible Prompt Learning and High-quality Benchmarks","created":"2023-12-25","cited_by_count":17,"area":null},{"id":"2408.08827","title":"RGBT Tracking via All-layer Multimodal Interactions with Progressive Fusion Mamba","created":"2024-08-16","cited_by_count":17,"area":"ssm"},{"id":"2507.05899","title":"What You Have is What You Track: Adaptive and Robust Multimodal Tracking","created":"2025-07-08","cited_by_count":15,"area":null},{"id":"2408.02222","title":"Cross-modulated Attention Transformer for RGBT Tracking","created":"2024-08-05","cited_by_count":14,"area":null},{"id":"2408.07889","title":"MambaVT: Spatio-Temporal Contextual Modeling for robust RGB-T Tracking","created":"2024-08-15","cited_by_count":14,"area":"ssm"},{"id":"2408.00969","title":"Visible-Thermal Multiple Object Tracking: Large-scale Video Dataset and Progressive Fusion Approach","created":"2024-08-02","cited_by_count":13,"area":null},{"id":"2203.14134","title":"RGBD Object Tracking: An In-depth Review","created":"2022-03-26","cited_by_count":11,"area":null},{"id":"2401.01674","title":"Transformer RGBT Tracking with Spatio-Temporal Multimodal Tokens","created":"2024-01-03","cited_by_count":11,"area":null},{"id":"2410.11586","title":"Breaking Modality Gap in RGBT Tracking: Coupled Knowledge Distillation","created":"2024-10-15","cited_by_count":11,"area":"distill"},{"id":"2502.06583","title":"Adaptive Perception for Unified Visual Multi-modal Object Tracking","created":"2025-02-10","cited_by_count":11,"area":null},{"id":"2511.17967","title":"CADTrack: Learning Contextual Aggregation with Deformable Alignment for Robust RGBT Tracking","created":"2025-11-22","cited_by_count":11,"area":null},{"id":"2505.19434","title":"CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features","created":"2025-05-26","cited_by_count":10,"area":null},{"id":"2304.13651","title":"What Happened 3 Seconds Ago? Inferring the Past with Thermal Imaging","created":"2023-04-26","cited_by_count":8,"area":null},{"id":"2308.16386","title":"RGB-T Tracking via Multi-Modal Mutual Prompt Learning","created":"2023-08-31","cited_by_count":8,"area":null},{"id":"2312.14446","title":"Cross-Modal Object Tracking via Modality-Aware Fusion Network and A Large-Scale Dataset","created":"2023-12-22","cited_by_count":8,"area":null},{"id":"2507.16318","title":"M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision","created":"2025-07-22","cited_by_count":8,"area":null},{"id":"2304.04264","title":"RGB-T Tracking Based on Mixed Attention","created":"2023-04-09","cited_by_count":7,"area":null},{"id":"2312.14471","title":"Prototype-based Cross-Modal Object Tracking","created":"2023-12-22","cited_by_count":7,"area":null},{"id":"2405.02717","title":"AFter: Attention-based Fusion Router for RGBT Tracking","created":"2024-05-04","cited_by_count":7,"area":null},{"id":"2201.09296","title":"A Survey for Deep RGBT Tracking","created":"2022-01-23","cited_by_count":6,"area":null},{"id":"2406.07189","title":"RGB-Sonar Tracking Benchmark and Spatial Cross-Attention Transformer Tracker","created":"2024-06-11","cited_by_count":6,"area":null},{"id":"2303.14778","title":"RGBT Tracking via Progressive Fusion Transformer with Dynamically Guided Learning","created":"2023-03-26","cited_by_count":5,"area":null},{"id":"2312.08192","title":"PAD: Self-Supervised Pre-Training with Patchwise-Scale Adapter for Infrared Images","created":"2023-12-13","cited_by_count":5,"area":null},{"id":"2603.17840","title":"Video Understanding: From Geometry and Semantics to Unified Models","created":"2026-03-18","cited_by_count":5,"area":null},{"id":"2405.03177","title":"Transformer-based RGB-T Tracking with Channel and Spatial Feature Fusion","created":"2024-05-06","cited_by_count":4,"area":null},{"id":"2406.05475","title":"HDRT: A Large-Scale Dataset for Infrared-Guided HDR Imaging","created":"2024-06-08","cited_by_count":4,"area":null},{"id":"2408.12232","title":"BihoT: A Large-Scale Dataset and Benchmark for Hyperspectral Camouflaged Object Tracking","created":"2024-08-22","cited_by_count":4,"area":null},{"id":"2411.12943","title":"Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Motion Similarity","created":"2024-11-20","cited_by_count":4,"area":null},{"id":"2502.02257","title":"UNIP: Rethinking Pre-trained Attention Patterns for Infrared Semantic Segmentation","created":"2025-02-04","cited_by_count":3,"area":null},{"id":"2509.24741","title":"Collaborating Vision, Depth, and Thermal Signals for Multi-Modal Tracking: Dataset and Algorithm","created":"2025-09-29","cited_by_count":3,"area":null},{"id":"2604.12502","title":"SEATrack: Simple, Efficient, and Adaptive Multimodal Tracker","created":"2026-04-14","cited_by_count":3,"area":null},{"id":"2312.17273","title":"X Modality Assisting RGBT Object Tracking","created":"2023-12-27","cited_by_count":2,"area":null},{"id":"2403.16834","title":"From Two-Stream to One-Stream: Efficient RGB-T Tracking via Mutual Prompt Learning and Knowledge Distillation","created":"2024-03-25","cited_by_count":2,"area":"distill"},{"id":"2408.16979","title":"Cross Fusion RGB-T Tracking with Bi-directional Adapter","created":"2024-08-30","cited_by_count":2,"area":null},{"id":"2503.11247","title":"Breaking Shallow Limits: Task-Driven Pixel Fusion for Gap-free RGBT Tracking","created":"2025-03-14","cited_by_count":2,"area":null},{"id":"2505.03507","title":"Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking","created":"2025-05-06","cited_by_count":2,"area":null},{"id":"2505.12606","title":"Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking","created":"2025-05-19","cited_by_count":2,"area":null},{"id":"2508.13000","title":"Omni Survey for Multimodality Analysis in Visual Object Tracking","created":"2025-08-18","cited_by_count":2,"area":null},{"id":"2508.17280","title":"MTNet: Learning modality-aware representation with transformer for RGBT tracking","created":"2025-08-24","cited_by_count":2,"area":null},{"id":"2511.01427","title":"UniSOT: A Unified Framework for Multi-Modality Single Object Tracking","created":"2025-11-03","cited_by_count":2,"area":null},{"id":"2512.05359","title":"Group Orthogonal Low-Rank Adaptation for RGB-T Tracking","created":"2025-12-05","cited_by_count":2,"area":null},{"id":"2603.01412","title":"UETrack: A Unified and Efficient Framework for Single Object Tracking","created":"2026-03-02","cited_by_count":2,"area":null},{"id":"2603.03617","title":"RAGTrack: Language-aware RGBT Tracking with Retrieval-Augmented Generation","created":"2026-03-04","cited_by_count":2,"area":"mllm"},{"id":"2403.18193","title":"Middle Fusion and Multi-Stage, Multi-Form Prompts for Robust RGB-T Tracking","created":"2024-03-27","cited_by_count":1,"area":null},{"id":"2412.10861","title":"Heterogeneous Graph Transformer for Multiple Tiny Object Tracking in RGB-T Videos","created":"2024-12-14","cited_by_count":1,"area":null},{"id":"2501.03616","title":"BTMTrack: Robust RGB-T Tracking via Dual-template Bridging and Temporal-Modal Candidate Elimination","created":"2025-01-07","cited_by_count":1,"area":null},{"id":"2502.18143","title":"LightFC-X: Lightweight Convolutional Tracker for RGB-X Tracking","created":"2025-02-25","cited_by_count":1,"area":null},{"id":"2502.18220","title":"UASTrack: A Unified Adaptive Selection Framework with Modality-Customization in Single Object Tracking","created":"2025-02-25","cited_by_count":1,"area":null},{"id":"2503.07950","title":"Decoupled Cross-Modal Alignment Network for Text-RGBT Person Retrieval and A High-Quality Benchmark","created":"2025-03-11","cited_by_count":1,"area":null},{"id":"2503.11218","title":"Towards General Multimodal Visual Tracking","created":"2025-03-14","cited_by_count":1,"area":null},{"id":"2505.19990","title":"Progressive Scaling Visual Object Tracking","created":"2025-05-26","cited_by_count":1,"area":null},{"id":"2506.23972","title":"Learning Frequency and Memory-Aware Prompts for Multi-Modal Object Tracking","created":"2025-06-30","cited_by_count":1,"area":null},{"id":"2508.01592","title":"DMTrack: Spatio-Temporal Multimodal Tracking via Dual-Adapter","created":"2025-08-03","cited_by_count":1,"area":null},{"id":"2511.19475","title":"Tracking and Segmenting Anything in Any Modality","created":"2025-11-22","cited_by_count":1,"area":null},{"id":"2603.14452","title":"Uni-MDTrack: Learning Decoupled Memory and Dynamic States for Parameter-Efficient Visual Tracking in All Modality","created":"2026-03-15","cited_by_count":1,"area":null},{"id":"2605.03716","title":"Unified Multimodal Visual Tracking with Dual Mixture-of-Experts","created":"2026-05-05","cited_by_count":1,"area":"moe"},{"id":"2607.24701","title":"Spatio-Temporal Conditional Denoising Transformer for Modality-Missing RGBT Tracking","created":"2026-07-27","cited_by_count":1,"area":null},{"id":"2307.01893","title":"EANet: Enhanced Attribute-based RGBT Tracker Network","created":"2023-07-04","cited_by_count":0,"area":null},{"id":"2405.00168","title":"Revisiting RGBT Tracking Benchmarks from the Perspective of Modality Validity: A New Benchmark, Problem, and Solution","created":"2024-04-30","cited_by_count":0,"area":null},{"id":"2410.06626","title":"Open-RGBT: Open-vocabulary RGB-T Zero-shot Semantic Segmentation in Open-world Environments","created":"2024-10-09","cited_by_count":0,"area":null},{"id":"2410.06811","title":"Rethinking the Evaluation of Visible and Infrared Image Fusion","created":"2024-10-09","cited_by_count":0,"area":null},{"id":"2506.19154","title":"Lightweight RGB-T Tracking with Mobile Vision Transformers","created":"2025-06-23","cited_by_count":0,"area":null},{"id":"2509.15642","title":"UNIV: Unified Foundation Model for Infrared and Visible Modalities","created":"2025-09-19","cited_by_count":0,"area":null},{"id":"2509.19733","title":"Robust RGB-T Tracking via Learnable Visual Fourier Prompt Fine-tuning and Modality Fusion Prompt Generation","created":"2025-09-24","cited_by_count":0,"area":null},{"id":"2601.14799","title":"UBATrack: Spatio-Temporal State Space Model for General Multi-Modal Tracking","created":"2026-01-21","cited_by_count":0,"area":"ssm"},{"id":"2602.00504","title":"RGBX-R1: Visual Modality Chain-of-Thought Guided Reinforcement Learning for Multimodal Grounding","created":"2026-01-31","cited_by_count":0,"area":"lr"},{"id":"2602.22033","title":"RT-RMOT: A Dataset and Framework for RGB-Thermal Referring Multi-Object Tracking","created":"2026-02-25","cited_by_count":0,"area":null},{"id":"2603.09287","title":"Exploring Modality-Aware Fusion and Decoupled Temporal Propagation for Multi-Modal Object Tracking","created":"2026-03-10","cited_by_count":0,"area":null},{"id":"2603.13719","title":"Sparse-Dense Mixture of Experts Adapter for Multi-Modal Tracking","created":"2026-03-14","cited_by_count":0,"area":"moe"},{"id":"2603.21100","title":"Learning Progressive Adaptation for Multi-Modal Tracking","created":"2026-03-22","cited_by_count":0,"area":null},{"id":"2605.20963","title":"Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2607.18768","title":"Cross-Modal UAV Object Tracking: State-Aware Representation Learning and A Unified Benchmark","created":"2026-07-21","cited_by_count":0,"area":null},{"id":"2607.19772","title":"DRGBT-1K: A Large-scale High-quality Benchmark for Dynamic RGBT Tracking","created":"2026-07-22","cited_by_count":0,"area":null},{"id":"2608.00847","title":"Models as Tools: An Agentic Coordination Framework for Unified Multimodal Visual Tracking","created":"2026-08-01","cited_by_count":0,"area":"agents"},{"id":"2608.01488","title":"Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning","created":"2026-08-02","cited_by_count":0,"area":"distill"},{"id":"2608.01807","title":"Parameter-Dynamic Adaptive Fusion and Calibration Network for RGBT Tracking","created":"2026-08-03","cited_by_count":0,"area":null},{"id":"2609.08346","title":"Segment Any Motion with Radar: Robust Multimodal Moving-Object Segmentation and Tracking","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.37162","title":"End-to-End Self-Supervised RGB-T Tracking without Modality Misleading","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.38637","title":"Template-Search Domain Adaptation via Multi-Stage Feature Alignment for Cross-Modal Object Tracking","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.13053","title":"UniMergeTrack: Hierarchical Model Merging for General RGB-X Visual Object Tracking","created":"2026-10-09","cited_by_count":0,"area":null},{"id":"2610.14846","title":"Towards Privacy-Preserving Thermal Human Perception from Dataset to Deployment","created":"2026-10-10","cited_by_count":0,"area":null}],"next_cursor":null}