Decoding Visual Neural Representations by Multimodal with Dynamic Balancing | Paper Citation Record

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This paper cites Gait adaptation to visual kinematic perturbations using a real-time closed-loop brain–computer interface to a virtual reality avatar,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Gait adaptation to visual kinematic perturbations using a real-time closed-loop brain–computer interface to a virtual reality avatar,

Reference 1

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This paper cites An online ssvep-bci system in an optical see-through augmented reality environment,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing An online ssvep-bci system in an optical see-through augmented reality environment,

Reference 2

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This paper cites Repvgg: Mak- ing vgg-style convnets great again,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Repvgg: Mak- ing vgg-style convnets great again,

Reference 3

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This paper cites Rethinking Score Distilling Sampling for 3D Editing and Generation.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Rethinking Score Distilling Sampling for 3D Editing and Generation

Reference 4

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This paper cites Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score Matching.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score Matching

Reference 5

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This paper cites Decoding individual finger movements from one hand using human eeg signals,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Decoding individual finger movements from one hand using human eeg signals,

Reference 6

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This paper cites Eeg-based bci control schemes for lower-limb assistive-robots,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Eeg-based bci control schemes for lower-limb assistive-robots,

Reference 7

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Observation 33b7a45d-3f2d-49a5-9dc0-90d7d2d96f3b · outbound

This paper cites Deep learning for elec- troencephalogram (eeg) classification tasks: a review,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Deep learning for elec- troencephalogram (eeg) classification tasks: a review,

Reference 8

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Observation c47003a1-aa6e-4993-ae4b-4758fb8d0403 · outbound

This paper cites Real-time neuroimaging and cognitive monitoring using wearable dry eeg,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Real-time neuroimaging and cognitive monitoring using wearable dry eeg,

Reference 9

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Observation 2d9dee0f-a821-4bd1-927e-955dca854427 · outbound

This paper cites Making sense of spatio-temporal preserving representations for eeg-based human intention recognition,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Making sense of spatio-temporal preserving representations for eeg-based human intention recognition,

Reference 10

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Observation 1f399ec3-c0c7-41e3-bf2b-11fae795d163 · outbound

This paper cites Deep learning with convolutional neural networks for eeg de- coding and visualization,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Deep learning with convolutional neural networks for eeg de- coding and visualization,

Reference 11

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Observation 09e39af0-6e46-4945-b171-932fdef05b11 · outbound

This paper cites Eeg conformer: Convolutional transformer for eeg decoding and visualization,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Eeg conformer: Convolutional transformer for eeg decoding and visualization,

Reference 12

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Observation 19891721-0c95-4515-a6ae-38521f6b8e34 · outbound

This paper cites Decoding Natural Images from EEG for Object Recognition.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Decoding Natural Images from EEG for Object Recognition

Reference 13

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This paper cites Eeg-based emotion recognition with haptic vibration by a feature fu- sion method,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Eeg-based emotion recognition with haptic vibration by a feature fu- sion method,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:04.332715Z

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This paper cites DeWave: Discrete EEG Waves Encoding for Brain Dynamics to Text Translation.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing DeWave: Discrete EEG Waves Encoding for Brain Dynamics to Text Translation

Reference 15

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Observation cf9c286e-984c-4660-8aeb-4cbbca0da183 · outbound

This paper cites Paivio, Imagery and verbal processes.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Paivio, Imagery and verbal processes

Reference 16

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Observation e39b81eb-273b-49bb-abcf-1f2a2955abd6 · outbound

This paper cites Dual coding of knowledge in the human brain,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Dual coding of knowledge in the human brain,

Reference 17

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Observation ee7fc4d1-c723-485f-af4f-018cb49323c0 · outbound

This paper cites Decoding visual neural representations by multimodal learning of brain-visual-linguistic features,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Decoding visual neural representations by multimodal learning of brain-visual-linguistic features,

Reference 18

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Observation 00a9f56d-0f90-4b45-91a7-7aa41177e8e6 · outbound

This paper cites What makes training multi-modal classification networks hard?.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing What makes training multi-modal classification networks hard?

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:04.279782Z

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Observation b0c47981-b98e-4a0b-a93c-434deb99bdd2 · outbound

This paper cites Balanced multi- modal learning via on-the-fly gradient modulation,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Balanced multi- modal learning via on-the-fly gradient modulation,

Reference 20

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Observation fb367fd5-136d-473c-b822-ec8fbd81c7f6 · outbound

This paper cites Improving Multi-Modal Learning with Uni-Modal Teachers.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Improving Multi-Modal Learning with Uni-Modal Teachers

Reference 21

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Observation 618b561e-c9cf-4349-a1fe-7f7863b0b02e · outbound

This paper cites Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts

Reference 22

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This paper cites Dynamic unary convolution in transformers,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Dynamic unary convolution in transformers,

Reference 23

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Observation 8e3a33bb-2eb5-495a-a2ed-200f94974084 · outbound

This paper cites Pa- rameter efficient fine-tuning for multi-modal generative vision models with m¨ obius-inspired transformation,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Pa- rameter efficient fine-tuning for multi-modal generative vision models with m¨ obius-inspired transformation,

Reference 24

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Observation 169f990a-6c8b-48f9-b321-6fcb6d2828e5 · outbound

This paper cites Ctnerf: Cross-time transformer for dynamic neural radiance field from monocular video,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Ctnerf: Cross-time transformer for dynamic neural radiance field from monocular video,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:04.227716Z

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Observation 1a63e25c-2f04-425b-923b-b9cc735960e2 · outbound

This paper cites The benefits of noise in neural sys- tems: bridging theory and experiment,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing The benefits of noise in neural sys- tems: bridging theory and experiment,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:04.214099Z

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Observation 3ae7c01d-a859-4da7-8811-959569f050b0 · outbound

This paper cites Improving unimodal object recognition with multimodal contrastive learning,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Improving unimodal object recognition with multimodal contrastive learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:04.200918Z

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Observation c2d2b4ee-ad39-4537-b3f4-1608302bf1ab · outbound

This paper cites Ds-depth: Dynamic and static depth estimation via a fusion cost volume,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Ds-depth: Dynamic and static depth estimation via a fusion cost volume,

Reference 28

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This paper cites Mitigating Propensity Bias of Large Language Models for Recommender Systems.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Mitigating Propensity Bias of Large Language Models for Recommender Systems

Reference 29

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This paper cites Bayesian graph local extrema con- volution with long-tail strategy for misinformation detection,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Bayesian graph local extrema con- volution with long-tail strategy for misinformation detection,

Reference 30

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Observation 2c84d8b3-106c-4213-8176-731d39c0f46d · outbound

This paper cites Multimodal contrastive training for visual representation learning,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Multimodal contrastive training for visual representation learning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:04.158775Z

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This paper cites Un- derstanding multimodal contrastive learning and incorporating unpaired data,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Un- derstanding multimodal contrastive learning and incorporating unpaired data,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:04.144894Z

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This paper cites Cleanclip: Mitigating data poisoning attacks in multimodal contrastive learning,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Cleanclip: Mitigating data poisoning attacks in multimodal contrastive learning,

Reference 33

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Observation 04fb8a3e-ff80-4aa2-a2b2-a4a95133f7ea · outbound

This paper cites Laser: Efficient Language-Guided Segmentation in Neural Radiance Fields.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Laser: Efficient Language-Guided Segmentation in Neural Radiance Fields

Reference 34

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This paper cites Towards Scalable Spatial Intelligence via 2D-to-3D Data Lifting.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Towards Scalable Spatial Intelligence via 2D-to-3D Data Lifting

Reference 35

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Observation 6951ad92-f3ac-40f7-bc78-72ce2e782f32 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Learning transferable visual models from natural language supervi- sion,

Reference 36

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This paper cites Wav2clip: Learning robust audio representations from clip,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Wav2clip: Learning robust audio representations from clip,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:04.102993Z

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Observation be1513a0-5b8f-46ab-90f7-62321c00d0ee · outbound

This paper cites Multimodal- ity helps unimodality: Cross-modal few-shot learning with multimodal 33 models,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Multimodal- ity helps unimodality: Cross-modal few-shot learning with multimodal 33 models,

Reference 38

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This paper cites Ulip-2: To- wards scalable multimodal pre-training for 3d understanding,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Ulip-2: To- wards scalable multimodal pre-training for 3d understanding,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:04.074986Z

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Observation 7d136ecc-5fbf-4d3e-b07d-d3a0abde39c2 · outbound

This paper cites See What You See: Self-supervised Cross-modal Retrieval of Visual Stimuli from Brain Activity.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing See What You See: Self-supervised Cross-modal Retrieval of Visual Stimuli from Brain Activity

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:59:03.834209Z

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Observation c135a4a0-9c64-49bb-8a6f-01eb8154d138 · outbound

This paper cites Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping Contrastive Learning.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping Contrastive Learning

Reference 41

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This paper cites DreamDiffusion: Generating High-Quality Images from Brain EEG Signals.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing DreamDiffusion: Generating High-Quality Images from Brain EEG Signals

Reference 42

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Observation 39d0f50d-c428-4287-9e62-64b05ec0b166 · outbound

This paper cites Mindbridge: A cross-subject brain decoding framework,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Mindbridge: A cross-subject brain decoding framework,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:04.060464Z

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Observation 4791f447-b2dd-4fee-a56a-8237303a0372 · outbound

This paper cites Wills aligner: Multi-subject collaborative brain visual decoding,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Wills aligner: Multi-subject collaborative brain visual decoding,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:04.046148Z

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Observation 55342aaf-b99f-440e-9ea9-b1789e15e915 · outbound

This paper cites Mindtuner: Cross-subject visual decoding with visual fingerprint and semantic correction,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Mindtuner: Cross-subject visual decoding with visual fingerprint and semantic correction,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:04.031282Z

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Observation 4ebb6003-2c46-4ab9-9577-3473f252b353 · outbound

This paper cites Gnn-film: Graph neural networks with feature-wise linear modulation,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Gnn-film: Graph neural networks with feature-wise linear modulation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:04.017618Z

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Observation 63774ac1-3f2a-4301-bded-076c38e2c1fd · outbound

This paper cites Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis

Reference 47

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Observation deeea440-0a34-4096-a5cb-b87742cd3952 · outbound

This paper cites Boosting multi-modal model performance with adaptive gradient modulation,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Boosting multi-modal model performance with adaptive gradient modulation,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:04.004093Z

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Observation 9cf17fe3-ecb4-4820-bd06-ec7ba42cc7a6 · outbound

This paper cites Suppress and rebalance: Towards generalized multi-modal face anti- spoofing,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Suppress and rebalance: Towards generalized multi-modal face anti- spoofing,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:59:03.990748Z

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Observation 294d8b46-4726-4e65-bee6-fe6314960ec8 · outbound

This paper cites Enhancing multimodal co- operation via sample-level modality valuation,.

Decoding Visual Neural Representations by Multimodal with Dynamic Balancing Enhancing multimodal co- operation via sample-level modality valuation,

Reference 50

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