Xinrui Cui

Orcid: 0000-0001-9641-7801

According to our database1, Xinrui Cui authored at least 16 papers between 2017 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
ArtMesh: Part-Aware Articulated Mesh Fields with Motion-Consistent Dynamics.
CoRR, May, 2026

Revisiting the Perception-Distortion Trade-off with Spatial-Semantic Guided Super-Resolution.
CoRR, March, 2026

PhysConvex: Physics-Informed 3D Dynamic Convex Radiance Fields for Reconstruction and Simulation.
CoRR, February, 2026

2024
Distilling Invariant Representations With Domain Adversarial Learning for Cross-Subject Children Seizure Prediction.
IEEE Trans. Cogn. Dev. Syst., February, 2024

InNeRF: Learning Interpretable Radiance Fields for Generalizable 3D Scene Representation and Rendering.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2022
Generalizable Neural Radiance Fields for Novel View Synthesis with Transformer.
CoRR, 2022

A general sample-weighted framework for epileptic seizure prediction.
Comput. Biol. Medicine, 2022

2021
Interpreting Bottom-Up Decision-Making of CNNs via Hierarchical Inference.
IEEE Trans. Image Process., 2021

Multi-view 3D Reconstruction with Transformer.
CoRR, 2021

Multi-view 3D Reconstruction with Transformers.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
CHIP: Channel-Wise Disentangled Interpretation of Deep Convolutional Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2020

Feature-Flow Interpretation of Deep Convolutional Neural Networks.
IEEE Trans. Multim., 2020

CHAIN: Concept-harmonized Hierarchical Inference Interpretation of Deep Convolutional Neural Networks.
CoRR, 2020

2019
Multi-Scale Interpretation Model for Convolutional Neural Networks: Building Trust Based on Hierarchical Interpretation.
IEEE Trans. Multim., 2019

2018
Robust Sparse Unmixing for Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens., 2018

2017
Sparse unmixing based on feature pixels for hyperspectral imagery.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017


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