ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking | Paper Citation Record

Observation 7b060917-d2fc-4852-a4e9-0c929326980c · outbound

This paper cites Exploring Visual Prompts for Adapting Large-Scale Models.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Exploring Visual Prompts for Adapting Large-Scale Models

Reference 1

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Observation 2b6168c0-3fd5-451b-91ce-69a90b892be6 · outbound

This paper cites Qwen Technical Report.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Qwen Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.057677Z

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Observation feac114b-a727-4bb9-ba01-7b223253147e · outbound

This paper cites ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.062724Z

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Observation 31ab4e52-3b86-4a21-9c3b-bc1e9f8aaef6 · outbound

This paper cites Visual objects in context.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Visual objects in context

Reference 4

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Observation 6dd1badc-254e-41ee-a3ba-7f44c1ff97d2 · outbound

This paper cites Fully-convolutional siamese networks for object tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Fully-convolutional siamese networks for object tracking

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.072541Z

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Observation c458deef-7dc7-4f87-b3d3-1d08557fbc81 · outbound

This paper cites HIPTrack: Visual Tracking with Historical Prompts.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking HIPTrack: Visual Tracking with Historical Prompts

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.077398Z

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Observation d6664951-cb60-4632-94aa-56def1c74905 · outbound

This paper cites Hiptrack: Visual tracking with historical prompts.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Hiptrack: Visual tracking with historical prompts

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.083037Z

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Observation ea980acd-dab8-4366-8809-ccbad76b884d · outbound

This paper cites Robust object modeling for visual tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Robust object modeling for visual tracking

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.087543Z

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Observation 21d8f018-330a-4a16-9f34-107911ef917f · outbound

This paper cites The relative con- tribution of scene context and target features to visual search in scenes.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking The relative con- tribution of scene context and target features to visual search in scenes

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.091932Z

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Observation 8fb728ed-985c-4e69-843e-ca843aeb2b6d · outbound

This paper cites Back- bone is all your need: A simplified architecture for visual object tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Back- bone is all your need: A simplified architecture for visual object tracking

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.097020Z

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Observation af9e0079-0496-4bd5-9533-29d214d34c57 · outbound

This paper cites Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.101699Z

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Observation 173655c0-8471-4ffb-b9c4-7fe625a453d2 · outbound

This paper cites Transformer tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Transformer tracking

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.106886Z

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Observation c3e2cd41-3d4d-4834-9634-5aab90328e39 · outbound

This paper cites Seqtrack: Sequence to sequence learning for visual ob- ject tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Seqtrack: Sequence to sequence learning for visual ob- ject tracking

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.111506Z

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Observation 5dda1452-603e-469b-9b69-278e31137e65 · outbound

This paper cites SUTrack: Towards Simple and Unified Single Object Tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking SUTrack: Towards Simple and Unified Single Object Tracking

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.115964Z

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Observation 43773dbe-f9ec-4cff-909b-deff0e94bff5 · outbound

This paper cites Siamese box adaptive network for visual tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Siamese box adaptive network for visual tracking

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.120806Z

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Observation 68168ffe-117a-40a8-bb38-bf4d6d3509ce · outbound

This paper cites Mixformer: End-to-end tracking with iterative mixed atten- tion.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Mixformer: End-to-end tracking with iterative mixed atten- tion

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.125439Z

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Observation 977012a5-2c21-4eb4-a6f9-4e10441ca09e · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.130259Z

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Observation 6151760b-09d7-454a-9ac1-62b434f780cf · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.135466Z

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Observation b59bdd76-e86e-4ee8-b199-040eadc75684 · outbound

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

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Lasot: A high-quality benchmark for large-scale single ob- ject tracking

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.139892Z

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Observation 9787d40e-5a6e-4c78-81ee-db889399770f · outbound

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

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Lasot: A high-quality large-scale single object tracking benchmark

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.144678Z

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Observation 22edd8b8-6ce5-4327-9e52-b260742f54cb · outbound

This paper cites Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.149355Z

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Observation 097562a7-14eb-456d-9e3d-68b66ceabb53 · outbound

This paper cites Real-time visual object tracking with natural lan- guage description.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Real-time visual object tracking with natural lan- guage description

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.154518Z

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Observation 7ba7bb2d-c6ac-44a7-a639-580704c5b823 · outbound

This paper cites Siamese natural language tracker: Tracking by natural lan- guage descriptions with siamese trackers.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Siamese natural language tracker: Tracking by natural lan- guage descriptions with siamese trackers

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.159328Z

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Observation 46e13a0a-1579-47ae-a1b5-a1dafd7713b8 · outbound

This paper cites Enhancing Vision-Language Tracking by Effectively Converting Textual Cues into Visual Cues.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Enhancing Vision-Language Tracking by Effectively Converting Textual Cues into Visual Cues

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:00:25.961926Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5d49d5c0-266c-46aa-9cb6-dab61f2a3a1c · outbound

This paper cites Memvlt: Vision- language tracking with adaptive memory-based prompts.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Memvlt: Vision- language tracking with adaptive memory-based prompts

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.169975Z

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Observation dfaa284f-62df-4dcf-88c4-6ad7470bb5a4 · outbound

This paper cites Narrlv: Towards a comprehensive narrative-centric evaluation for long video generation models.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Narrlv: Towards a comprehensive narrative-centric evaluation for long video generation models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.174980Z

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Observation 6956bd4c-b23c-4673-b875-76a169d735b7 · outbound

This paper cites CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.180490Z

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Observation d89e1c7f-6819-40aa-aff1-97aad547f407 · outbound

This paper cites Aiatrack: Attention in attention for trans- former visual tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Aiatrack: Attention in attention for trans- former visual tracking

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.185727Z

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Observation c33d4be3-f5c2-41f3-b167-71479d44de01 · outbound

This paper cites Generalized relation modeling for transformer tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Generalized relation modeling for transformer tracking

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.191737Z

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Observation 93a04a3d-442f-4d53-ad55-f858ecfda2b4 · outbound

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

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Divert more attention to vision-language tracking

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.196227Z

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Observation fb14e636-5ffc-410d-b9d1-a77f337883d7 · outbound

This paper cites Learning Target-aware Representation for Visual Tracking via Informative Interactions.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Learning Target-aware Representation for Visual Tracking via Informative Interactions

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.200880Z

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Observation 98daaa08-b2b2-4287-b051-0c2c9679f50c · outbound

This paper cites Onetracker: Unifying visual object tracking with foundation models and efficient tuning.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Onetracker: Unifying visual object tracking with foundation models and efficient tuning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.205717Z

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Observation a46afc33-de4d-4909-8b30-324264d7ca63 · outbound

This paper cites A multi-modal global instance tracking benchmark (mgit): Better locating target in complex spatio-temporal and causal relationship.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking A multi-modal global instance tracking benchmark (mgit): Better locating target in complex spatio-temporal and causal relationship

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.901630Z

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Observation b4e30215-6014-4ec2-8208-1f21191831da · outbound

This paper cites Global instance tracking: Locating target more like humans.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Global instance tracking: Locating target more like humans

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.885828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8ce4568f-cf5a-4c12-9e6e-1b97b31b4db1 · outbound

This paper cites Sotverse: A user- defined task space of single object tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Sotverse: A user- defined task space of single object tracking

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.870425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 203bd55e-7cc5-47bf-b790-74b737a99935 · outbound

This paper cites Got-10k: A large high-diversity benchmark for generic object tracking in the wild.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Got-10k: A large high-diversity benchmark for generic object tracking in the wild

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.854863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ede8583e-037f-423a-b501-d7b53fdacb4f · outbound

This paper cites GPT-4o System Card.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking GPT-4o System Card

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.228732Z

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Observation 2895fd57-2cb0-4fc0-aa7b-2b41d85103f9 · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.233665Z

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Observation 107088b4-3ab2-4a67-a77a-c34de216eba4 · outbound

This paper cites Zoomtrack: Target-aware non-uniform resizing for efficient visual tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Zoomtrack: Target-aware non-uniform resizing for efficient visual tracking

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.839119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 78eb8ad7-c238-4d46-b3f6-3162a9256197 · outbound

This paper cites Multi- modal data fusion: an overview of methods, challenges, and prospects.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Multi- modal data fusion: an overview of methods, challenges, and prospects

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.822966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 69bfe300-2ea0-496a-8c69-560bc7703344 · outbound

This paper cites Cornernet: Detecting objects as paired keypoints.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Cornernet: Detecting objects as paired keypoints

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.807538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fb452ae2-f0aa-4952-9742-fc8afed9e0b4 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.252699Z

Source-reported events for the cited work

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Observation bc7645a7-9796-4abd-9f0f-c3940de0187d · outbound

This paper cites SiamRPN++: Evolution of siamese visual tracking with very deep networks.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking SiamRPN++: Evolution of siamese visual tracking with very deep networks

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.792291Z

Source-reported events for the cited work

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Observation 4a85f1d4-547e-4ebe-bac4-e6fe7aa1de90 · outbound

This paper cites Dtllm-vlt: Diverse text generation for visual language tracking based on llm.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Dtllm-vlt: Diverse text generation for visual language tracking based on llm

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.776586Z

Source-reported events for the cited work

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Observation 9ad79807-54ae-4d3b-bb8e-c58ee2ca8bab · outbound

This paper cites DTVLT: A Multi-modal Diverse Text Benchmark for Visual Language Tracking Based on LLM.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking DTVLT: A Multi-modal Diverse Text Benchmark for Visual Language Tracking Based on LLM

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.267463Z

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Observation c6b60fe2-130c-4dd0-8cfb-129f4d97ab6f · outbound

This paper cites How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.272754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80bed04c-ce88-4da5-a30e-3d7518189832 · outbound

This paper cites Visual Language Tracking with Multi-modal Interaction: A Robust Benchmark.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Visual Language Tracking with Multi-modal Interaction: A Robust Benchmark

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.277681Z

Source-reported events for the cited work

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Observation eb33eb2f-f8c4-4151-a44f-ee6ca2229e8d · outbound

This paper cites Cross- modal target retrieval for tracking by natural language.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Cross- modal target retrieval for tracking by natural language

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.759192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f43e334b-00d2-45f0-a124-e26be12a0705 · outbound

This paper cites Tracking by natural language specification.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Tracking by natural language specification

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.741442Z

Source-reported events for the cited work

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Observation a1c4ffdb-d657-4d1d-8c21-1fbbd62da4e5 · outbound

This paper cites Tracking meets lora: Faster training, larger model, stronger performance.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Tracking meets lora: Faster training, larger model, stronger performance

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.725689Z

Source-reported events for the cited work

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Observation 6714be6a-de44-4d61-903c-ca2ce8887242 · outbound

This paper cites VMBench: A Benchmark for Perception-Aligned Video Motion Generation.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking VMBench: A Benchmark for Perception-Aligned Video Motion Generation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.296454Z

Source-reported events for the cited work

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Observation 07a508e4-5330-4201-aa48-0450b0c8fce8 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.301341Z

Source-reported events for the cited work

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Observation 11fd7396-2961-4a85-864e-47a3fd4a0165 · outbound

This paper cites Decoupled Weight Decay Regularization.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Decoupled Weight Decay Regularization

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.306545Z

Source-reported events for the cited work

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Observation 2c966cb9-8a2a-48eb-94a5-7cbeec8f84cc · outbound

This paper cites Tracking by natural language specification with long short-term context decoupling.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Tracking by natural language specification with long short-term context decoupling

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.710708Z

Source-reported events for the cited work

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Observation 6f8b7738-ada1-479a-9ec6-523f38a3787b · outbound

This paper cites Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.316004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5830c71-77d9-45e3-baba-7c2d3e72a7ea · outbound

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

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Unifying visual and vision-language tracking via contrastive learning

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.692889Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0779b1d5-73b4-46c5-8549-6df17a2bbcf1 · outbound

This paper cites Generation and comprehension of unambiguous object descriptions.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Generation and comprehension of unambiguous object descriptions

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.675570Z

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Observation 79976080-0973-49b3-a477-4f80fd4cab12 · outbound

This paper cites Textual tokens classification for multi-modal alignment in vision-language tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Textual tokens classification for multi-modal alignment in vision-language tracking

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.656749Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fe42269f-44fb-45ca-ac5c-ffc338187d76 · outbound

This paper cites Learning target candidate association to keep track of what not to track.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Learning target candidate association to keep track of what not to track

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.639875Z

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Observation 4449fdf6-1f5f-4cbe-b041-ec613717c58d · outbound

This paper cites Trackingnet: A large-scale dataset and benchmark for object tracking in the wild.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Trackingnet: A large-scale dataset and benchmark for object tracking in the wild

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.624769Z

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Observation 79a5574f-e0ac-48cf-aab0-dda64beee430 · outbound

This paper cites Vast- track: Vast category visual object tracking.Advances in Neu- ral Information Processing Systems , 37:130797–130818,.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Vast- track: Vast category visual object tracking.Advances in Neu- ral Information Processing Systems , 37:130797–130818,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.609754Z

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Observation c5af3050-d178-473f-89b7-5e73428fbd17 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.593658Z

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Observation b391ec34-bb7a-4b16-bc38-97bd873bf123 · outbound

This paper cites Generalized in- tersection over union: A metric and a loss for bounding box regression.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Generalized in- tersection over union: A metric and a loss for bounding box regression

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.357235Z

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Observation bc8af11e-9e20-48ea-968c-7be50078ca59 · outbound

This paper cites Generating semantically precise scene graphs from textual descriptions for improved image retrieval.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Generating semantically precise scene graphs from textual descriptions for improved image retrieval

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.566625Z

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Observation 5c1f058e-025a-4884-80c9-a491e4c32882 · outbound

This paper cites Context-Aware Integration of Language and Visual References for Natural Language Tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Context-Aware Integration of Language and Visual References for Natural Language Tracking

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.367754Z

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Observation e6bf2372-4fc2-4361-bd35-f84ed6e21c25 · outbound

This paper cites Explicit Visual Prompts for Visual Object Tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Explicit Visual Prompts for Visual Object Tracking

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.373163Z

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Observation e7c45bfe-6790-4790-9e82-67358170e76c · outbound

This paper cites Chat- tracker: Enhancing visual tracking performance via chatting with multimodal large language model.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Chat- tracker: Enhancing visual tracking performance via chatting with multimodal large language model

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.550322Z

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Observation 14d4b30a-8a65-4337-9b36-d4f5e94fa0e5 · outbound

This paper cites What makes for good views for contrastive learning? Advances in neural informa- tion processing systems, 33:6827–6839, 2020.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking What makes for good views for contrastive learning? Advances in neural informa- tion processing systems, 33:6827–6839, 2020

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.535026Z

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Observation bbbed7b5-4ef0-438f-a903-a55d946ff226 · outbound

This paper cites Fast-itpn: Integrally pre- trained transformer pyramid network with token migration.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Fast-itpn: Integrally pre- trained transformer pyramid network with token migration

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.518967Z

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Observation dbd7e95f-68fd-44d6-b339-179c6817665e · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking LLaMA: Open and Efficient Foundation Language Models

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.392906Z

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Observation 8bcf2dbb-950a-4d23-8bdf-2636f4cc4953 · outbound

This paper cites Attention is all you need.Proceedings of the Ad- vances in Neural Information Processing Systems, 30, 2017.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Attention is all you need.Proceedings of the Ad- vances in Neural Information Processing Systems, 30, 2017

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.503791Z

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Observation 97147d00-61c6-4eb4-b74e-8395c75fa157 · outbound

This paper cites Temporal adaptive rgbt tracking with modality prompt.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Temporal adaptive rgbt tracking with modality prompt

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.488450Z

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Observation 387deadd-f8dd-4f07-87bb-129b691ca116 · outbound

This paper cites Transformer meets tracker: Exploiting temporal context for robust visual tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Transformer meets tracker: Exploiting temporal context for robust visual tracking

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.472658Z

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Observation 72d0a56c-f80d-4747-a621-668380a7ca51 · outbound

This paper cites Unified transformer with isomorphic branches for natural language tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Unified transformer with isomorphic branches for natural language tracking

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.457089Z

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Observation 9560beba-56ea-42d6-9f95-9808deaafd35 · outbound

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

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.417726Z

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Unavailable: canonical work link unavailable.

Observation 67692cc2-0fe9-4b8c-bd99-3655fb1e7132 · outbound

This paper cites Towards more flexible and accurate object tracking with natural language: Algo- rithms and benchmark.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Towards more flexible and accurate object tracking with natural language: Algo- rithms and benchmark

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.441493Z

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Observation c2f82135-bd43-4b95-a14a-0743dd896159 · outbound

This paper cites Autoregressive visual tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Autoregressive visual tracking

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.425576Z

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Observation 8573aae1-3df1-4911-aebe-395c538b691b · outbound

This paper cites Dropmae: Masked autoen- coders with spatial-attention dropout for tracking tasks.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Dropmae: Masked autoen- coders with spatial-attention dropout for tracking tasks

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.411229Z

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Observation 5ec8bf32-ce83-46d2-ad31-8bfc46afd404 · outbound

This paper cites Object track- ing benchmark.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Object track- ing benchmark

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.395947Z

Source-reported events for the cited work

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Observation f56365bd-fdf5-45de-87c2-ec0588407938 · outbound

This paper cites Autoregressive Queries for Adaptive Tracking with Spatio-TemporalTransformers.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Autoregressive Queries for Adaptive Tracking with Spatio-TemporalTransformers

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.441550Z

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Observation 08292d3a-6347-4310-8ec3-3d7c5a70afef · outbound

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

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Less is more: Token context-aware learning for object tracking

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.380626Z

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Observation f42128ac-9417-4ea7-a6bc-e4398784bd5c · outbound

This paper cites Learning spatio-temporal transformer for vi- sual tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Learning spatio-temporal transformer for vi- sual tracking

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.364736Z

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Observation 04bb95d1-433f-459c-9f04-82d0e2e659da · outbound

This paper cites Learning spatio-temporal transformer for vi- sual tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Learning spatio-temporal transformer for vi- sual tracking

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.348240Z

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Observation 0b4b19a0-230e-43dd-b401-15f565d5fbdd · outbound

This paper cites Foreground-background distribution mod- eling transformer for visual object tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Foreground-background distribution mod- eling transformer for visual object tracking

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.333030Z

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Observation 7d2b5daf-8b45-4459-b1e3-7513d6eb3080 · outbound

This paper cites Grounding-tracking-integration.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Grounding-tracking-integration

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.318160Z

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Observation 014d38a9-b19e-4f0a-9053-f91b3f049817 · outbound

This paper cites Joint feature learning and relation modeling for tracking: A one-stream framework.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Joint feature learning and relation modeling for tracking: A one-stream framework

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.302570Z

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Observation e748ad6f-bcd2-49f6-bea1-79a96bb6bf03 · outbound

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

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking All in one: Exploring uni- fied vision-language tracking with multi-modal alignment

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.287233Z

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Observation d0b53a5a-ebf2-45c5-925c-08c7161b930e · outbound

This paper cites Beyond accuracy: Tracking more like human via visual search.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Beyond accuracy: Tracking more like human via visual search

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.270441Z

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Observation 3124d896-a416-495f-b9a4-0e8185b6b4d8 · outbound

This paper cites One-stream stepwise decreas- ing for vision-language tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking One-stream stepwise decreas- ing for vision-language tracking

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.255495Z

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Observation ef1aafe4-0de8-4373-8969-a42c6682dad8 · outbound

This paper cites Hivit: A simpler and more efficient design of hierarchical vision transformer.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Hivit: A simpler and more efficient design of hierarchical vision transformer

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.240458Z

Source-reported events for the cited work

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Observation 57cc62c4-9c13-4106-8d12-6940d28778dd · outbound

This paper cites Transformer vision-language tracking via proxy token guided cross-modal fusion.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Transformer vision-language tracking via proxy token guided cross-modal fusion

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.225498Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6194473d-e370-4145-ad3e-3d187e5d9f80 · outbound

This paper cites Biodrone: A bionic drone-based single object tracking benchmark for robust vision.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Biodrone: A bionic drone-based single object tracking benchmark for robust vision

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.210101Z

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Observation c4381f3a-f5b6-4ff2-9db2-39b0618eefa4 · outbound

This paper cites Leveraging local and global cues for visual tracking via parallel interaction network.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Leveraging local and global cues for visual tracking via parallel interaction network

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.502187Z

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Unavailable: canonical work link unavailable.

Observation d76db66e-8426-42c0-a158-608c8bf3fb62 · outbound

This paper cites Towards unified token learn- ing for vision-language tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Towards unified token learn- ing for vision-language tracking

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.183016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 389d8f8b-d52d-450d-99a9-6e2cc63643c2 · outbound

This paper cites ODTrack: Online Dense Temporal Token Learning for Visual Tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking ODTrack: Online Dense Temporal Token Learning for Visual Tracking

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.511264Z

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Observation b38f2ec4-7338-43a7-9a17-e75e1816ef5f · outbound

This paper cites Decoupled spatio-temporal consistency learning for self-supervised tracking.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Decoupled spatio-temporal consistency learning for self-supervised tracking

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.165065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e37c8ada-10ed-47b5-8fdd-2a2c58282a59 · outbound

This paper cites Conditional prompt learning for vision-language mod- els.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Conditional prompt learning for vision-language mod- els

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.520680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f21eb56-ac82-445b-b26e-0b05d4223b36 · outbound

This paper cites Joint vi- sual grounding and tracking with natural language specifica- tion.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Joint vi- sual grounding and tracking with natural language specifica- tion

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.525240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 218710c5-93e8-4ae6-aa17-dbbad206feee · outbound

This paper cites the ironman in red flying in the sky.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking the ironman in red flying in the sky

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.112817Z

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Observation d98f2fbd-536a-4b66-a8b2-298adeaa7136 · outbound

This paper cites plane”. In the corresponding Attl heatmap, the target word “plane.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking plane”. In the corresponding Attl heatmap, the target word “plane

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:00:26.128639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers