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07/09/2023
Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers
This paper addresses the problem of cross-modal object tracking from RGB...
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07/01/2023
Spatial-Temporal Enhanced Transformer Towards Multi-Frame 3D Object Detection
The Detection Transformer (DETR) has revolutionized the design of CNN-ba...
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01/15/2023
Deep Diversity-Enhanced Feature Representation of Hyperspectral Images
In this paper, we study the problem of embedding the high-dimensional sp...
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07/09/2022
Rank-Enhanced Low-Dimensional Convolution Set for Hyperspectral Image Denoising
This paper tackles the challenging problem of hyperspectral (HS) image d...
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07/06/2022
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation
The inherent ambiguity in ground-truth annotations of 3D bounding boxes ...
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05/30/2022
Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolution
In this paper, we investigate the problem of hyperspectral (HS) image sp...
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08/15/2021
Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild
This paper investigates the problem of reconstructing hyperspectral (HS)...
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08/12/2021
Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images
This paper investigates the problem of recovering hyperspectral (HS) ima...
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12/31/2020
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds
This paper addresses the problem of computing dense correspondence betwe...
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09/26/2020
Deep Selective Combinatorial Embedding and Consistency Regularization for Light Field Super-resolution
Light field (LF) images acquired by hand-held devices usually suffer fro...
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06/18/2020
Hyperspectral Image Super-resolution via Deep Progressive Zero-centric Residual Learning
This paper explores the problem of hyperspectral image (HSI) super-resol...
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04/19/2020