A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA | Paper Citation Record

Observation 06f9f894-44db-41ca-9678-b9cb208559ad · outbound

This paper cites Catalyzing next- generation artificial intelligence through NeuroAI.Nature Communications, 14:1597.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Catalyzing next- generation artificial intelligence through NeuroAI.Nature Communications, 14:1597

Reference 1

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This paper cites Haonan Li, Yixuan Zhang, Fajri Koto, Yifei Yang, Hai Zhao, Yeyun Gong, Nan Duan, and Timothy Baldwin.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Haonan Li, Yixuan Zhang, Fajri Koto, Yifei Yang, Hai Zhao, Yeyun Gong, Nan Duan, and Timothy Baldwin

Reference 2

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This paper cites Towards artificial general intelligence with hybrid Tianjic chip architecture , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Towards artificial general intelligence with hybrid Tianjic chip architecture , volume=

Reference 3

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This paper cites A system hierarchy for brain-inspired computing , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA A system hierarchy for brain-inspired computing , volume=

Reference 4

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This paper cites A Spiking Neural Network in sEMG Feature Extraction , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA A Spiking Neural Network in sEMG Feature Extraction , volume=

Reference 5

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This paper cites IEEE Transactions on Medical Imaging39(6), 2223– 2234 (Jun 2020).

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA IEEE Transactions on Medical Imaging39(6), 2223– 2234 (Jun 2020)

Reference 6

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This paper cites Deep learning incorporating biologically inspired neural dynamics and in-memory computing , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Deep learning incorporating biologically inspired neural dynamics and in-memory computing , volume=

Reference 7

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.631705Z

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Observation c5865bbf-51f7-4bf7-9cc7-c0925b747f3f · outbound

This paper cites ST-FlowNet: An efficient Spiking Neural Network for event-based optical flow estimation , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA ST-FlowNet: An efficient Spiking Neural Network for event-based optical flow estimation , volume=

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-26T09:29:17.618477Z

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This paper cites Integrating Non-spiking Interneurons in Spiking Neural Networks , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Integrating Non-spiking Interneurons in Spiking Neural Networks , volume=

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-26T09:29:17.621364Z

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This paper cites Deep learning in spiking neural networks.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Deep learning in spiking neural networks

Reference 10

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.648800Z

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This paper cites A framework for the general design and computation of hybrid neural networks , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA A framework for the general design and computation of hybrid neural networks , volume=

Reference 11

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.612589Z

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This paper cites Adaptive spatiotemporal neural networks through complementary hybridization , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Adaptive spatiotemporal neural networks through complementary hybridization , volume=

Reference 12

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.637860Z

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This paper cites Enhancing spiking neural networks with hybrid top-down attention , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Enhancing spiking neural networks with hybrid top-down attention , volume=

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-26T09:29:17.643338Z

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This paper cites Advancing brain-inspired computing with hybrid neural networks , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Advancing brain-inspired computing with hybrid neural networks , volume=

Reference 14

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.610511Z

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This paper cites In: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Work- shops (CVPR W), pp.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA In: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Work- shops (CVPR W), pp

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T09:29:17.615496Z

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This paper cites Dance of SNN and ANN: Solving Binding Problem by Combining Spike Timing and Reconstructive Attention , url=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Dance of SNN and ANN: Solving Binding Problem by Combining Spike Timing and Reconstructive Attention , url=

Reference 16

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.651123Z

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This paper cites ReSpike: residual frames-based hybrid spiking neural networks for efficient action recognition , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA ReSpike: residual frames-based hybrid spiking neural networks for efficient action recognition , volume=

Reference 17

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.626751Z

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This paper cites Freeman, Frédo Durand, Eli Shechtman, and Xun Huang.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Freeman, Frédo Durand, Eli Shechtman, and Xun Huang

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T09:29:17.644274Z

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This paper cites Brain-inspired multimodal hybrid neural network for robot place recognition , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Brain-inspired multimodal hybrid neural network for robot place recognition , volume=

Reference 19

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This paper cites Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences , volume=

Reference 20

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.628774Z

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This paper cites an unresolved cited work.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Unresolved cited work

Reference 21

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A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Unresolved cited work

Reference 22

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.635899Z

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This paper cites Tracking dynamics of two-dimensional continuous attractor neural networks , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Tracking dynamics of two-dimensional continuous attractor neural networks , volume=

Reference 23

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.633682Z

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This paper cites Spiking Continuous Attractor Neural Networks with Spike Frequency Adaptation for Anticipative Tracking , url=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Spiking Continuous Attractor Neural Networks with Spike Frequency Adaptation for Anticipative Tracking , url=

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-26T09:29:17.631682Z

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This paper cites Continuous Attractor Neural Networks: Candidate of a Canonical Model for Neural Information Representation , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Continuous Attractor Neural Networks: Candidate of a Canonical Model for Neural Information Representation , volume=

Reference 25

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.646367Z

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This paper cites The head direction cell network: attractor dynamics, integration within the navigation system, and three-dimensional properties , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA The head direction cell network: attractor dynamics, integration within the navigation system, and three-dimensional properties , volume=

Reference 26

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.595534Z

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This paper cites Ring attractor dynamics in the <i>Drosophila</i> central brain , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Ring attractor dynamics in the <i>Drosophila</i> central brain , volume=

Reference 27

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.599587Z

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This paper cites Learning accurate path integration in ring attractor models of the head direction system , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Learning accurate path integration in ring attractor models of the head direction system , volume=

Reference 28

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.603732Z

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This paper cites and Hermansen, Erik and Pachitariu, Marius and Burak, Yoram and Baas, Nils A.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA and Hermansen, Erik and Pachitariu, Marius and Burak, Yoram and Baas, Nils A

Reference 29

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.682339Z

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This paper cites , editor =.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA , editor =

Reference 30

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.588778Z

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This paper cites Continuous attractor dynamics in spatial navigation: from population geometry to flexible computation , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Continuous attractor dynamics in spatial navigation: from population geometry to flexible computation , volume=

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-26T09:29:17.680363Z

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This paper cites Robust working memory in a two-dimensional continuous attractor network , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Robust working memory in a two-dimensional continuous attractor network , volume=

Reference 32

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.672114Z

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This paper cites Bump attractor dynamics in prefrontal cortex explains behavioral precision in spatial working memory , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Bump attractor dynamics in prefrontal cortex explains behavioral precision in spatial working memory , volume=

Reference 33

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.587005Z

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This paper cites Stability of working memory in continuous attractor networks under the control of short-term plasticity , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Stability of working memory in continuous attractor networks under the control of short-term plasticity , volume=

Reference 34

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.590641Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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This paper cites Object Tracking Using Computer Vision: A Review , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Object Tracking Using Computer Vision: A Review , volume=

Reference 35

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This paper cites Henriques, Andrea Vedaldi, and Philip H.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Henriques, Andrea Vedaldi, and Philip H

Reference 36

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.581808Z

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Observation c24d43a3-07ee-4c9c-a46a-624a34730ba2 · outbound

This paper cites Fast Object Tracking on a Many-Core Neural Network Chip , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Fast Object Tracking on a Many-Core Neural Network Chip , volume=

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-06-26T09:29:17.663984Z

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Observation a1f9cdb2-ec96-48ef-ad4d-36eb90251192 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T09:29:17.658893Z

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This paper cites A Spatio-Temporal Robust Tracker with Spatial-Channel Transformer and Jitter Suppression , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA A Spatio-Temporal Robust Tracker with Spatial-Channel Transformer and Jitter Suppression , volume=

Reference 39

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.599198Z

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Observation de6b8e73-9dde-4692-991c-a8fbaa969b2a · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T09:29:17.607722Z

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This paper cites SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks , url=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks , url=

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-06-26T09:29:17.593520Z

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Observation 9971d647-6671-49f8-bd87-3ac1509dea4b · outbound

This paper cites an unresolved cited work.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Unresolved cited work

Reference 42

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This paper cites Ross and Draper, Bruce A.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Ross and Draper, Bruce A

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-06-26T09:29:17.569755Z

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Observation 759914aa-b6b8-430a-b1ff-f1cd8239911e · outbound

This paper cites and Caseiro, Rui and Martins, Pedro and Batista, Jorge , year=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA and Caseiro, Rui and Martins, Pedro and Batista, Jorge , year=

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-06-26T09:29:17.666593Z

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Observation 941587c1-c7f8-426c-adf9-c1b6ef937e70 · outbound

This paper cites Visual Object Tracking in First Person Vision , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Visual Object Tracking in First Person Vision , volume=

Reference 45

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.571964Z

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This paper cites A mobile vision system for robust multi-person tracking , url=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA A mobile vision system for robust multi-person tracking , url=

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Resolution: verified exact; arxiv_id, observed 2026-06-26T09:29:17.577743Z

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Observation ecade3a1-7729-4929-80bd-1afca565b1c3 · outbound

This paper cites Need for Speed: A Benchmark for Higher Frame Rate Object Tracking , url=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Need for Speed: A Benchmark for Higher Frame Rate Object Tracking , url=

Reference 47

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.677627Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d33a458e-b496-47c9-af3d-1b18ebdd6dfe · outbound

This paper cites Object Tracking Benchmark , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Object Tracking Benchmark , volume=

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-06-26T09:29:17.566819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 49d520ca-d39e-4b35-a0c3-7d7cbf3862c9 · outbound

This paper cites A Benchmark and Simulator for UAV Tracking , ISBN=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA A Benchmark and Simulator for UAV Tracking , ISBN=

Reference 49

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.673873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ff80f1ec-a4e7-4388-bd56-672e86298c78 · outbound

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

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA TrackingNet: A large-scale dataset and benchmark for object tracking in the wild

Reference 50

Resolution: verified exact; doi, observed 2026-06-26T09:29:17.554994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 24472dc2-a6b4-4522-b7eb-a25c26267ba0 · outbound

This paper cites In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T09:29:17.552995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 44036dd9-3485-44a6-ac19-bd6c579ae4b9 · outbound

This paper cites an unresolved cited work.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Unresolved cited work

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-06-26T09:29:17.549878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f9e20b20-38be-44e0-90a8-44d44e5f7268 · outbound

This paper cites GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild , volume=

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-06-26T09:29:17.612675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0fe8a3ed-d45f-44be-a389-ed7696baf980 · outbound

This paper cites Encoding Color Information for Visual Tracking: Algorithms and Benchmark , volume=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Encoding Color Information for Visual Tracking: Algorithms and Benchmark , volume=

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-06-26T09:29:17.547109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6788ada9-7e16-4f45-94b2-5c6a19e9c35a · outbound

This paper cites https://doi.org/10.1109/iros60139.2025.11247690.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA https://doi.org/10.1109/iros60139.2025.11247690

Reference 55

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T09:29:17.557878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f88d6776-3d19-49c7-b865-f19b77b47cf7 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer 25 Vision and Pattern Recognition, pp.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA In: Proceedings of the IEEE/CVF Conference on Computer 25 Vision and Pattern Recognition, pp

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T09:29:17.561144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation def604b1-31e5-425b-b15b-b30f06a8db72 · outbound

This paper cites High-Performance Transformer Tracking , ISSN=.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA High-Performance Transformer Tracking , ISSN=

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-06-26T09:29:17.563967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 37afd5e3-7aa7-4a6e-934e-76af6bce7351 · outbound

This paper cites Freeman, Frédo Durand, Eli Shechtman, and Xun Huang.

A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA Freeman, Frédo Durand, Eli Shechtman, and Xun Huang

Reference 58

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T09:29:17.574951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers