CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving | Paper Citation Record

Observation 29a8ef54-77aa-4e6e-93a2-ef13140f4439 · outbound

This paper cites Rs2g: Data-driven scene-graph extraction and embed- ding for robust autonomous perception and scenario understanding,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Rs2g: Data-driven scene-graph extraction and embed- ding for robust autonomous perception and scenario understanding,

Reference 1

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Observation b2049175-ef54-4160-814d-fb608dbbe4f8 · outbound

This paper cites Deep learning sensor fusion for autonomous vehicle perception and localization: A review,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Deep learning sensor fusion for autonomous vehicle perception and localization: A review,

Reference 2

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Observation 89722075-3a8c-48c7-baa4-0d15ba0000db · outbound

This paper cites Emi-lidar: Uncovering vulnerabilities of lidar sensors in autonomous driving setting using electromagnetic interference,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Emi-lidar: Uncovering vulnerabilities of lidar sensors in autonomous driving setting using electromagnetic interference,

Reference 3

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Observation fbf9f4eb-8968-4084-b5ba-90b1cda958f7 · outbound

This paper cites Lidar for autonomous driving: The principles, challenges, and trends for automotive lidar and perception systems,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Lidar for autonomous driving: The principles, challenges, and trends for automotive lidar and perception systems,

Reference 4

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Observation cffa337f-12a8-4de8-bf7e-fc8f2d9a4fb8 · outbound

This paper cites Futr3d: A unified sensor fusion framework for 3d detection,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Futr3d: A unified sensor fusion framework for 3d detection,

Reference 5

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Observation 53c252c0-e5d6-43f9-9b56-9cfbd9feb938 · outbound

This paper cites Deep multi-modal object detection and semantic segmentation for autonomous driving: Datasets, methods, and challenges,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Deep multi-modal object detection and semantic segmentation for autonomous driving: Datasets, methods, and challenges,

Reference 6

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Observation 7322c374-24f6-4084-a4b1-05385e158982 · outbound

This paper cites Uncertainty-encoded multi-modal fusion for robust object detection in autonomous driving,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Uncertainty-encoded multi-modal fusion for robust object detection in autonomous driving,

Reference 7

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Observation 75612db8-e409-454c-bb17-98cd00fc2592 · outbound

This paper cites Disthd: A learner-aware dynamic encoding method for hyperdimensional classification,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Disthd: A learner-aware dynamic encoding method for hyperdimensional classification,

Reference 8

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Observation 791071b4-5cef-4c1e-add0-f962fa70fbc7 · outbound

This paper cites Squeezesegv3: Spatially-adaptive convolution for effi- cient point-cloud segmentation,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Squeezesegv3: Spatially-adaptive convolution for effi- cient point-cloud segmentation,

Reference 9

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Observation 2c4ba1cb-d44f-4b5f-9bb2-c93c486218b5 · outbound

This paper cites Hyperdimensional uncertainty quantification for multimodal uncer- tainty fusion in autonomous vehicles perception,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Hyperdimensional uncertainty quantification for multimodal uncer- tainty fusion in autonomous vehicles perception,

Reference 10

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Observation bd24f361-5966-4ba5-beb7-521ac6c7afea · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Simple and scalable predictive uncertainty estimation using deep ensembles,

Reference 11

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Observation 416eed5d-814b-458f-9f74-be6a5c5bfb47 · outbound

This paper cites Late breaking results: Scalable and efficient hyperdimensional computing for network intrusion detection,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Late breaking results: Scalable and efficient hyperdimensional computing for network intrusion detection,

Reference 12

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Observation e473bb4b-bdda-4822-bcd2-f9c984d1b5ed · outbound

This paper cites Uncertainty quan- tification using bayesian neural networks in classification: Application to biomedical image segmentation,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Uncertainty quan- tification using bayesian neural networks in classification: Application to biomedical image segmentation,

Reference 13

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Observation a65576b4-33d3-4acb-ad78-51f82ac64ae9 · outbound

This paper cites Domino: Domain-invariant hyperdimensional classification for multi-sensor time series data,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Domino: Domain-invariant hyperdimensional classification for multi-sensor time series data,

Reference 14

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Observation 29c1390a-b2a9-4710-9d10-5467ee283142 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Dropout as a bayesian approximation: Representing model uncertainty in deep learning,

Reference 15

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Observation e59ff807-bc4b-4a59-8d23-421dbc2e2d6b · outbound

This paper cites A decentralized sensor fusion scheme for multi sensorial fault resilient pose estimation,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving A decentralized sensor fusion scheme for multi sensorial fault resilient pose estimation,

Reference 16

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Observation 265ab979-129e-445d-a376-f0a4ba7cd21b · outbound

This paper cites A variational bayesian approach to robust sensor fusion based on student-t distribution,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving A variational bayesian approach to robust sensor fusion based on student-t distribution,

Reference 17

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Observation 51e12e37-7574-4f93-a149-8f71ef646439 · outbound

This paper cites Seeing through fog without seeing fog: Deep multimodal sensor fusion in unseen adverse weather,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Seeing through fog without seeing fog: Deep multimodal sensor fusion in unseen adverse weather,

Reference 18

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Observation 717bd905-874f-45fe-a008-0ebb087d3ae6 · outbound

This paper cites Transformer-based contrastive meta- learning for low-resource generalizable activity recognition,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Transformer-based contrastive meta- learning for low-resource generalizable activity recognition,

Reference 19

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Observation 7b4efedf-ddda-4bb8-9d49-d55ac3611542 · outbound

This paper cites Beyond unimodal: Generalising neural processes for multimodal uncertainty estimation,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Beyond unimodal: Generalising neural processes for multimodal uncertainty estimation,

Reference 20

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Observation 517323fb-2141-4c90-bbc3-1d8d6de6eafe · outbound

This paper cites Quantifying & modeling multimodal interactions: An information decomposition framework,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Quantifying & modeling multimodal interactions: An information decomposition framework,

Reference 21

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Observation 0dfed195-901f-430f-b20f-0f34de18070e · outbound

This paper cites Hyperdetect: A real-time hyperdimensional solution for intrusion de- tection in iot networks,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Hyperdetect: A real-time hyperdimensional solution for intrusion de- tection in iot networks,

Reference 22

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Observation 15cee792-5dfa-432d-8796-ec7ecb2ad1a3 · outbound

This paper cites Smore: Similarity-based hyperdimensional domain adaptation for multi-sensor time series classification,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Smore: Similarity-based hyperdimensional domain adaptation for multi-sensor time series classification,

Reference 23

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Observation 837873b1-2bff-4a61-be28-02be7d00645a · outbound

This paper cites AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

Reference 24

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Observation 60ada853-28ae-4937-80fb-6a59c3084ad1 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Lora: Low-rank adaptation of large language models

Reference 25

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Observation 66d5a4df-ba97-4b6f-9b2c-ccf535ab7b5c · outbound

This paper cites A survey of uncertainty in deep neural networks,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving A survey of uncertainty in deep neural networks,

Reference 26

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This paper cites Bayesian fusion: Modeling and application,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Bayesian fusion: Modeling and application,

Reference 27

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This paper cites Choosing the best sensor fusion method: A machine- learning approach,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Choosing the best sensor fusion method: A machine- learning approach,

Reference 28

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This paper cites Uncertainty quantification and deep ensembles,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Uncertainty quantification and deep ensembles,

Reference 29

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Observation 8c08a468-c0a4-4634-a5ce-1ce00a45c802 · outbound

This paper cites Trustworthy sensor fusion against inaudible command attacks in advanced driver- assistance systems,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Trustworthy sensor fusion against inaudible command attacks in advanced driver- assistance systems,

Reference 30

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Observation 59195705-b238-4a22-bdd2-4eef38c71a74 · outbound

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

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Learning transferable visual models from natural language supervision,

Reference 31

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This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models,

Reference 32

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This paper cites Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization

Reference 33

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This paper cites Leveraging vision-language models for improving domain generalization in image classification,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Leveraging vision-language models for improving domain generalization in image classification,

Reference 34

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This paper cites Practicaldg: Perturbation distillation on vision-language models for hybrid domain generalization,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Practicaldg: Perturbation distillation on vision-language models for hybrid domain generalization,

Reference 35

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This paper cites Hydrafu- sion: Context-aware selective sensor fusion for robust and efficient autonomous vehicle perception,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Hydrafu- sion: Context-aware selective sensor fusion for robust and efficient autonomous vehicle perception,

Reference 36

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This paper cites Sensor fusion and object localization,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Sensor fusion and object localization,

Reference 37

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Observation 51badc40-1b0f-4074-aebc-5196a3aa754a · outbound

This paper cites Multi-level fusion based 3d object detection from monocular images,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Multi-level fusion based 3d object detection from monocular images,

Reference 38

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This paper cites Multi-modal sensor fusion-based deep neural network for end-to-end autonomous driving with scene understanding,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Multi-modal sensor fusion-based deep neural network for end-to-end autonomous driving with scene understanding,

Reference 39

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This paper cites Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,

Reference 40

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This paper cites Transfusion: Robust lidar-camera fusion for 3d object detection with transformers,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Transfusion: Robust lidar-camera fusion for 3d object detection with transformers,

Reference 41

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Observation 323d7cb4-5a6d-449c-b9ba-571e7aaac06c · outbound

This paper cites The multi-modal fusion in visual question answering: a review of attention mechanisms,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving The multi-modal fusion in visual question answering: a review of attention mechanisms,

Reference 42

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Observation 433b565a-5ee0-4e7b-bc64-b3d5ad744740 · outbound

This paper cites Multimodal token fusion for vision transformers,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Multimodal token fusion for vision transformers,

Reference 43

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Observation a894d5be-c2ad-4a4e-a91b-4141f360dc57 · outbound

This paper cites Perception-aware multi-sensor fusion for 3d lidar semantic segmentation,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Perception-aware multi-sensor fusion for 3d lidar semantic segmentation,

Reference 44

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This paper cites Sensor fusion for joint 3d object detection and semantic segmentation,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Sensor fusion for joint 3d object detection and semantic segmentation,

Reference 45

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Observation cfeb2152-71aa-4724-921d-30e5c99a96eb · outbound

This paper cites Ecofusion: Energy-aware adaptive sensor fusion for efficient autonomous vehicle perception,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Ecofusion: Energy-aware adaptive sensor fusion for efficient autonomous vehicle perception,

Reference 46

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Observation 2c118a62-a939-4df5-b72e-184dca39cca0 · outbound

This paper cites Cocoon: Robust multi-modal perception with uncertainty-aware sensor fusion,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Cocoon: Robust multi-modal perception with uncertainty-aware sensor fusion,

Reference 47

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Observation 49cbcab5-db91-4ba0-8833-f0a31a155819 · outbound

This paper cites Samfusion: Sensor-adaptive multimodal fusion for 3d object detection in adverse weather,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Samfusion: Sensor-adaptive multimodal fusion for 3d object detection in adverse weather,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:49.110789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 42653df7-6d5e-4284-b296-a773012e1b3c · outbound

This paper cites Cafuser: Condition-aware multimodal fusion for robust semantic perception of driving scenes,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Cafuser: Condition-aware multimodal fusion for robust semantic perception of driving scenes,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:49.099474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0683581b-6216-4ee7-8c19-81602970c34e · outbound

This paper cites Contextualfusion: Context- based multi-sensor fusion for 3d object detection in adverse operating conditions,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Contextualfusion: Context- based multi-sensor fusion for 3d object detection in adverse operating conditions,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:49.087373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b9949c1a-0ee3-4b96-9b5f-f94f1175de8d · outbound

This paper cites V oxelnet: End-to-end learning for point cloud based 3d object detection,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving V oxelnet: End-to-end learning for point cloud based 3d object detection,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T21:37:48.520625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f30eb6a-7396-46ea-ba37-dca5c47ff1a0 · outbound

This paper cites Large kernel sparse convnet weighted by multi- frequency attention for remote sensing scene understanding,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Large kernel sparse convnet weighted by multi- frequency attention for remote sensing scene understanding,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:49.069784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5f2411d4-b578-49ca-b6eb-1e2a7b491e3c · outbound

This paper cites Resnet 50,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Resnet 50,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:49.059149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0e8454d4-c3c3-4caf-8df6-4183e92ad682 · outbound

This paper cites Pointpillars: Fast encoders for object detection from point clouds,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Pointpillars: Fast encoders for object detection from point clouds,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:49.049362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f4179eff-a024-459e-a261-f7b403a7ce65 · outbound

This paper cites Submanifold Sparse Convolutional Networks.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Submanifold Sparse Convolutional Networks

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T21:37:48.534331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7897e48-faa1-4eb1-bdd7-9d589ae9123f · outbound

This paper cites Towards total recall in industrial anomaly detection,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Towards total recall in industrial anomaly detection,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:49.038575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 402135a6-da4f-488f-a935-b5ddf9ebc75c · outbound

This paper cites Imagebind: One embedding space to bind them all,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Imagebind: One embedding space to bind them all,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:49.027261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4ce7ad13-5a70-4d31-a71e-09199f730dbd · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality, march 2023,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality, march 2023,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:49.016152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 46edb7ee-1c26-4068-a4bc-77582e88a0d5 · outbound

This paper cites Gradient-based learning applied to document recogni- tion,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Gradient-based learning applied to document recogni- tion,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:49.005078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 78d0b8dd-71a2-48ce-ab2b-dfe475b8b439 · outbound

This paper cites aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T21:37:48.552262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2e27dc6-1a10-4225-b06b-5e4921916799 · outbound

This paper cites Delivering arbitrary-modal semantic segmentation,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Delivering arbitrary-modal semantic segmentation,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:48.993926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7035a43d-cd77-47bc-a9aa-4079dd8dbf76 · outbound

This paper cites Mfnet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Mfnet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:48.982945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ddf9de15-2cf8-4cf5-9984-539893a3419b · outbound

This paper cites Focalformer3d: Focusing on hard instance for 3d object detection,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Focalformer3d: Focusing on hard instance for 3d object detection,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:48.971572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ae803fb5-1cf7-49a7-bb9a-20b963195cee · outbound

This paper cites Multimodal virtual point 3d detection,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Multimodal virtual point 3d detection,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:48.959555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8ccff12b-0ffd-46a3-bb89-628e881ed1e5 · outbound

This paper cites Cross Modal Transformer: Towards Fast and Robust 3D Object Detection.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Cross Modal Transformer: Towards Fast and Robust 3D Object Detection

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T21:37:48.569837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da704a7d-b3cd-483e-a2d7-a83685858f90 · outbound

This paper cites Msmdfusion: Fusing lidar and camera at multiple scales with multi-depth seeds for 3d object detection,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Msmdfusion: Fusing lidar and camera at multiple scales with multi-depth seeds for 3d object detection,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:48.948055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c6db8647-5afe-4ee1-8a4f-e23908bbd9c9 · outbound

This paper cites aimotive dataset: A multimodal dataset for robust autonomous driving with long-range perception,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving aimotive dataset: A multimodal dataset for robust autonomous driving with long-range perception,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:48.935728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cc0016b8-0e74-4f51-a5aa-2e06c3bdd9b6 · outbound

This paper cites StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T21:37:48.581561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18e8e46d-08bc-42e9-82cb-29575ee6c628 · outbound

This paper cites Cmx: Cross-modal fusion for rgb-x semantic segmentation with transformers,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Cmx: Cross-modal fusion for rgb-x semantic segmentation with transformers,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:48.924641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2d529568-40b0-4352-b77a-75df4cdba7c6 · outbound

This paper cites Hrfuser: A multi-resolution sensor fusion architecture for 2d object detection,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Hrfuser: A multi-resolution sensor fusion architecture for 2d object detection,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:48.913421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cdc46969-5fc1-42c7-a01e-59a62405a007 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T21:37:48.593400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cad1c591-0cdd-4647-a1ed-a590d8b124bf · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Segformer: Simple and efficient design for semantic segmentation with transformers,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T21:37:48.597122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ac8fcd4-700e-4107-aa1a-394769fe80a3 · outbound

This paper cites Acnet: Attention based network to exploit complementary features for rgbd semantic segmentation,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Acnet: Attention based network to exploit complementary features for rgbd semantic segmentation,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:48.887628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 05726097-ee52-4c97-a87e-ea57a279ac7e · outbound

This paper cites Fuseseg: Semantic segmentation of urban scenes based on rgb and thermal data fusion,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Fuseseg: Semantic segmentation of urban scenes based on rgb and thermal data fusion,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:48.876589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b8813f07-f266-407b-b0cf-b5affc804c26 · outbound

This paper cites Feanet: Feature-enhanced attention network for rgb-thermal real-time semantic segmentation,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Feanet: Feature-enhanced attention network for rgb-thermal real-time semantic segmentation,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:48.865000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ce3f34ee-937c-4225-ab7a-3b8d284af803 · outbound

This paper cites Multi-interactive feature learning and a full-time multi-modality bench- mark for image fusion and segmentation,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Multi-interactive feature learning and a full-time multi-modality bench- mark for image fusion and segmentation,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:48.853451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation af15e4d1-a181-45c5-9ea1-35cbc49d7d3f · outbound

This paper cites Training-free uncertainty estimation for dense regression: Sensitivity as a surrogate,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Training-free uncertainty estimation for dense regression: Sensitivity as a surrogate,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:48.842235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eae5ae0a-fa24-4549-a152-53d69b4e4fc8 · outbound

This paper cites Latent discriminant deterministic uncertainty,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Latent discriminant deterministic uncertainty,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:48.830718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bd8b30e4-b7f1-4260-b1f3-064b1fcd5486 · outbound

This paper cites Posterior network: Uncertainty estimation without ood samples via density-based pseudo- counts,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Posterior network: Uncertainty estimation without ood samples via density-based pseudo- counts,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:48.819447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2fe5d78e-00de-433a-87a2-950e87c36264 · outbound

This paper cites Decoupled Weight Decay Regularization.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Decoupled Weight Decay Regularization

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-11T21:37:48.625539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53e011cc-ac2c-4626-99c3-751be209fefd · outbound

This paper cites Sgd: General analysis and improved rates,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Sgd: General analysis and improved rates,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:48.807799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 89a51189-0ee4-41fa-9c31-b177b0c8f0e5 · outbound

This paper cites scikit-image: image processing in python,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving scikit-image: image processing in python,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-11T21:37:48.632686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be969da9-9bd4-4efd-a7c3-52d0e1b73cf6 · outbound

This paper cites Automatic differentiation in pytorch,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Automatic differentiation in pytorch,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:48.788806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 982a7dc3-5923-4da7-bc13-9a57351c6894 · outbound

This paper cites Neural discrete representation learning,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Neural discrete representation learning,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:48.776725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0e16bcc9-7ad6-4f48-8972-658037246285 · outbound

This paper cites Determinantal point processes for machine learning,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Determinantal point processes for machine learning,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:48.763973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4c5c636f-e3a2-4245-a21f-b7ad2549e502 · outbound

This paper cites Kmc 3: counting and manipulating k-mer statistics,.

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving Kmc 3: counting and manipulating k-mer statistics,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:48.750889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Reference resolution

Outbound references

Pith citing papers