Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking | Paper Citation Record

Observation 2ee7bc57-efa1-487d-a684-58c830a80bc6 · outbound

This paper cites Tracking by natural language specification,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Tracking by natural language specification,

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Observation 5cfd51e9-47b8-4d53-a36d-f3577f98d4a6 · outbound

This paper cites Towards more flexible and accurate object tracking with natural lan- guage: Algorithms and benchmark,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Towards more flexible and accurate object tracking with natural lan- guage: Algorithms and benchmark,

Reference 2

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This paper cites Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking

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Observation 90e79796-2b5a-40ea-bf3c-e2b661cd6f51 · outbound

This paper cites Grounding-tracking- integration,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Grounding-tracking- integration,

Reference 4

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This paper cites Joint visual grounding and tracking with natural language specification,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Joint visual grounding and tracking with natural language specification,

Reference 5

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This paper cites Large-scale multi-modal pre-trained models: A comprehensive survey,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Large-scale multi-modal pre-trained models: A comprehensive survey,

Reference 6

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This paper cites Llmformer: Large language model for open-vocabulary semantic segmentation,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Llmformer: Large language model for open-vocabulary semantic segmentation,

Reference 7

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This paper cites Pedestrian attribute recognition: A new benchmark dataset and a large language model augmented framework,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Pedestrian attribute recognition: A new benchmark dataset and a large language model augmented framework,

Reference 8

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This paper cites Language decou- pling with fine-grained knowledge guidance for referring multi-object tracking,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Language decou- pling with fine-grained knowledge guidance for referring multi-object tracking,

Reference 9

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This paper cites Chattracker: Enhancing visual tracking performance via chatting with multimodal large language model,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Chattracker: Enhancing visual tracking performance via chatting with multimodal large language model,

Reference 10

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This paper cites Dynamic Updates for Language Adaptation in Visual-Language Tracking.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Dynamic Updates for Language Adaptation in Visual-Language Tracking

Reference 11

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Observation 45e9876b-24c4-4eaa-a10e-5a986a801e73 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 12

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This paper cites Glad: Generative language-assisted visual tracking for low-semantic templates: X. luo et al.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Glad: Generative language-assisted visual tracking for low-semantic templates: X. luo et al

Reference 13

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This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 14

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Observation f8c1c0df-f7f9-43ae-a570-3d6198a5ed84 · outbound

This paper cites ReasoningTrack: Chain-of-Thought Reasoning for Long-term Vision-Language Tracking.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking ReasoningTrack: Chain-of-Thought Reasoning for Long-term Vision-Language Tracking

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This paper cites Lasot: A high-quality benchmark for large-scale single object tracking,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Lasot: A high-quality benchmark for large-scale single object tracking,

Reference 16

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This paper cites Towards more flexible and accurate object tracking with natural lan- guage: Algorithms and benchmark,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Towards more flexible and accurate object tracking with natural lan- guage: Algorithms and benchmark,

Reference 17

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This paper cites Divert more attention to vision- language tracking,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Divert more attention to vision- language tracking,

Reference 18

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This paper cites All in one: Exploring unified vision-language tracking with multi-modal alignment,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking All in one: Exploring unified vision-language tracking with multi-modal alignment,

Reference 19

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This paper cites Toward unified token learning for vision-language tracking,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Toward unified token learning for vision-language tracking,

Reference 20

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This paper cites Context- aware integration of language and visual references for natural language tracking,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Context- aware integration of language and visual references for natural language tracking,

Reference 21

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This paper cites Unifying visual and vision-language tracking via contrastive learning,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Unifying visual and vision-language tracking via contrastive learning,

Reference 22

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This paper cites Mambavlt: Time- evolving multimodal state space model for vision-language tracking,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Mambavlt: Time- evolving multimodal state space model for vision-language tracking,

Reference 23

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This paper cites Atctrack: Aligning target-context cues with dynamic target states for robust vision-language tracking,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Atctrack: Aligning target-context cues with dynamic target states for robust vision-language tracking,

Reference 24

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This paper cites Cross-modal retrieval via deep and bidirectional representation learning,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Cross-modal retrieval via deep and bidirectional representation learning,

Reference 25

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This paper cites Adversarial attribute-text embed- ding for person search with natural language query,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Adversarial attribute-text embed- ding for person search with natural language query,

Reference 26

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This paper cites Align and tell: Boosting text-video retrieval with local alignment and fine-grained supervision,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Align and tell: Boosting text-video retrieval with local alignment and fine-grained supervision,

Reference 27

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This paper cites Multi-task cnn model for attribute prediction,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Multi-task cnn model for attribute prediction,

Reference 28

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This paper cites Correlation graph convolu- tional network for pedestrian attribute recognition,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Correlation graph convolu- tional network for pedestrian attribute recognition,

Reference 29

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This paper cites Learning transferable visual models from natural language supervision,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Learning transferable visual models from natural language supervision,

Reference 30

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This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking DINOv2: Learning Robust Visual Features without Supervision

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Segment anything,

Reference 32

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Sam 2: Segment anything in images and videos,

Reference 33

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Florence-2: Advancing a unified representation for a variety of vision tasks,

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This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking LLaVA-OneVision: Easy Visual Task Transfer

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This paper cites Qwen2.5-VL Technical Report.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Qwen2.5-VL Technical Report

Reference 36

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This paper cites R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning

Reference 37

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This paper cites VPTracker: Global Vision-Language Tracking via Visual Prompt.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking VPTracker: Global Vision-Language Tracking via Visual Prompt

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This paper cites Generative Semantic Multi-Object Tracking: A Large-Scale Benchmark and an MLLM-Driven Reasoning Framework.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Generative Semantic Multi-Object Tracking: A Large-Scale Benchmark and an MLLM-Driven Reasoning Framework

Reference 39

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This paper cites Deep biaffine attention for neural dependency parsing,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Deep biaffine attention for neural dependency parsing,

Reference 40

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Universal dependencies v1: A multilingual treebank collection,

Reference 41

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This paper cites A gold standard dependency corpus for english,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking A gold standard dependency corpus for english,

Reference 42

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Lora: Low-rank adaptation of large language models,

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Generalized intersection over union: A metric and a loss for bound- ing box regression,

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Focal loss for dense object detection,

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Decoupled weight decay regularization,

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Joint feature learning and relation modeling for tracking: A one-stream framework,

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Mixformer: End-to-end tracking with iterative mixed attention,

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Aiatrack: Attention in attention for transformer visual tracking,

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This paper cites Citetracker: Correlating image and text for visual tracking,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Citetracker: Correlating image and text for visual tracking,

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Robust object modeling for visual tracking,

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This paper cites Generalized relation modeling for transformer tracking,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Generalized relation modeling for transformer tracking,

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This paper cites Odtrack: Online dense temporal token learning for visual tracking,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Odtrack: Online dense temporal token learning for visual tracking,

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This paper cites Explicit visual prompts for visual object tracking,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Explicit visual prompts for visual object tracking,

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Observation 81c63ac4-8dd9-4d48-8d79-60a1f14571dd · outbound

This paper cites Autoregressive queries for adaptive tracking with spatio-temporal trans- formers,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Autoregressive queries for adaptive tracking with spatio-temporal trans- formers,

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Observation 3f20c244-2d38-44f2-8e19-39e6576d9dea · outbound

This paper cites Less is more: Token context-aware learning for object tracking,.

Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Less is more: Token context-aware learning for object tracking,

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Enhancing vision-language tracking by effectively con- verting textual cues into visual cues,

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Sutrack: Towards simple and unified single object tracking,

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Dynamic updates for language adaptation in visual-language tracking,

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Selective distillation of lan- guage tokens for redundancy suppression in vision-language tracking,

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Seqtrack: Sequence to sequence learning for visual object tracking,

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Tdcl: Dense seman- tic contrastive learning for vision-language tracking,

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Consistencies are all you need for semi-supervised vision-language tracking,

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking One-stream stepwise decreasing for vision-language tracking,

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking ATSTrack: Enhancing Visual-Language Tracking by Aligning Temporal and Spatial Scales

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Robust tracking via mamba-based context-aware token learning,

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Aware distilla- tion for robust vision-language tracking under linguistic sparsity,

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Vision-language tracking with attention-based optimization,

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Sematrack: semantic-driven unified vision-language tracking: J. zhang et al

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Rwkv-inspired multi-modal relation modeling for vision-language tracking,

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Transformer Tracking with Cyclic Shifting Window Attention

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Transformer vision- language tracking via proxy token guided cross-modal fusion,

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Real-time visual object tracking with natural language description,

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Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking Siamese natural language tracker: Tracking by natural language descriptions with siamese track- ers,

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