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05/22/2023
Multistatic Integrated Sensing and Communication System in Cellular Networks
A novel multistatic multiple-input multiple-output (MIMO) integrated sen...
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05/17/2023
IDO-VFI: Identifying Dynamics via Optical Flow Guidance for Video Frame Interpolation with Events
Video frame interpolation aims to generate high-quality intermediate fra...
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01/30/2023
From ORAN to Cell-Free RAN: Architecture, Performance Analysis, Testbeds and Trials
Open radio access network (ORAN) provides an open architecture to implem...
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08/30/2022
Experimental Performance Evaluation of Cell-free Massive MIMO Systems Using COTS RRU with OTA Reciprocity Calibration and Phase Synchronization
Downlink coherent multiuser transmission is an essential technique for c...
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06/18/2022
3D Face Parsing via Surface Parameterization and 2D Semantic Segmentation Network
Face parsing assigns pixel-wise semantic labels as the face representati...
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03/29/2022
Light Field Depth Estimation Based on Stitched-EPI
Depth estimation is one of the most essential problems for light field a...
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02/24/2022
Using calibrator to improve robustness in Machine Reading Comprehension
Machine Reading Comprehension(MRC) has achieved a remarkable result sinc...
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01/22/2022
Content-aware Warping for View Synthesis
Existing image-based rendering methods usually adopt depth-based image w...
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09/12/2021
DSSL: Deep Surroundings-person Separation Learning for Text-based Person Retrieval
Many previous methods on text-based person retrieval tasks are devoted t...
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08/17/2021
Learning Dynamic Interpolation for Extremely Sparse Light Fields with Wide Baselines
In this paper, we tackle the problem of dense light field (LF) reconstru...
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06/06/2021
Occlusion-aware Unsupervised Learning of Depth from 4-D Light Fields
Depth estimation is a fundamental issue in 4-D light field processing an...
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02/14/2021
Light Field Reconstruction via Attention-Guided Deep Fusion of Hybrid Lenses
This paper explores the problem of reconstructing high-resolution light ...
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01/28/2021
Performance Comparison between Reconfigurable Intelligent Surface and Relays: Theoretical Methods and a Perspective from Operator
Reconfigurable intelligent surface (RIS) is an emerging technique employ...
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01/15/2021
KDLSQ-BERT: A Quantized Bert Combining Knowledge Distillation with Learned Step Size Quantization
Recently, transformer-based language models such as BERT have shown trem...
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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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04/05/2020
Light Field Spatial Super-resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization
Light field (LF) images acquired by hand-held devices usually suffer fro...
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02/26/2020
Learning Light Field Angular Super-Resolution via a Geometry-Aware Network
The acquisition of light field images with high angular resolution is co...
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09/09/2019
Deep Learning-based Radiomic Features for Improving Neoadjuvant Chemoradiation Response Prediction in Locally Advanced Rectal Cancer
Radiomic features achieve promising results in cancer diagnosis, treatme...
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08/31/2019
Flexible, Fast and Accurate Densely-Sampled Light Field Reconstruction Network
The densely-sampled light field (LF) is highly desirable in various appl...
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07/23/2019
Learning High-fidelity Light Field Images From Hybrid Inputs
This paper explores the reconstruction of high-fidelity LF images (i.e.,...
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05/14/2018
BCI-Based Strategies on Stroke Rehabilitation with Avatar and FES Feedback
Stroke is the leading cause of serious and long-term disability worldwid...
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03/26/2018
HAMLET: Interpretable Human And Machine co-LEarning Technique
Efficient label acquisition processes are key to obtaining robust classi...
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08/26/2013