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04/10/2023
Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection
Single-frame infrared small target (SIRST) detection aims at separating ...
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03/31/2023
You Only Train Once: Learning a General Anomaly Enhancement Network with Random Masks for Hyperspectral Anomaly Detection
In this paper, we introduce a new approach to address the challenge of g...
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09/28/2022
MTU-Net: Multi-level TransUNet for Space-based Infrared Tiny Ship Detection
Space-based infrared tiny ship detection aims at separating tiny ships f...
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07/25/2022
Soft decoding without soft demapping with ORBGRAND
For spectral efficiency, higher order modulation symbols confer informat...
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06/13/2022
Learning a Degradation-Adaptive Network for Light Field Image Super-Resolution
Recent years have witnessed the great advances of deep neural networks (...
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03/03/2022
Occlusion-Aware Cost Constructor for Light Field Depth Estimation
Matching cost construction is a key step in light field (LF) depth estim...
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02/22/2022
Disentangling Light Fields for Super-Resolution and Disparity Estimation
Light field (LF) cameras record both intensity and directions of light r...
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11/25/2021
Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark
Satellite video cameras can provide continuous observation for a large-s...
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10/23/2021
Dense Dual-Attention Network for Light Field Image Super-Resolution
Light field (LF) images can be used to improve the performance of image ...
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08/09/2021
Selective Light Field Refocusing for Camera Arrays Using Bokeh Rendering and Superresolution
Camera arrays provide spatial and angular information within a single sn...
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06/01/2021
Dense Nested Attention Network for Infrared Small Target Detection
Single-frame infrared small target (SIRST) detection aims at separating ...
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05/31/2021
Non-Convex Tensor Low-Rank Approximation for Infrared Small Target Detection
Infrared small target detection plays an important role in many infrared...
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04/28/2021
CRC Codes as Error Correction Codes
CRC codes have long since been adopted in a vast range of applications. ...
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04/01/2021
Unsupervised Degradation Representation Learning for Blind Super-Resolution
Most existing CNN-based super-resolution (SR) methods are developed base...
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11/07/2020
Symmetric Parallax Attention for Stereo Image Super-Resolution
Although recent years have witnessed the great advances in stereo image ...
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11/06/2020
Keep the bursts and ditch the interleavers
To facilitate applications in IoT, 5G, and beyond, there is an engineeri...
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09/16/2020
Parallax Attention for Unsupervised Stereo Correspondence Learning
Stereo image pairs encode 3D scene cues into stereo correspondences betw...
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07/07/2020
Light Field Image Super-Resolution Using Deformable Convolution
Light field (LF) cameras can record scenes from multiple perspectives, a...
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06/17/2020
Learning Sparse Masks for Efficient Image Super-Resolution
Current CNN-based super-resolution (SR) methods process all locations eq...
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04/08/2020
Learning for Scale-Arbitrary Super-Resolution from Scale-Specific Networks
Recently, the performance of single image super-resolution (SR) has been...
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04/06/2020
Deformable 3D Convolution for Video Super-Resolution
The spatio-temporal information among video sequences is significant for...
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01/06/2020
Deep Video Super-Resolution using HR Optical Flow Estimation
Video super-resolution (SR) aims at generating a sequence of high-resolu...
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12/17/2019
Spatial-Angular Interaction for Light Field Image Super-Resolution
Light field (LF) cameras record both intensity and directions of light r...
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12/10/2019
DeOccNet: Learning to See Through Foreground Occlusions in Light Fields
Background objects occluded in some views of a light field (LF) camera c...
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03/15/2019
Flickr1024: A Dataset for Stereo Image Super-Resolution
With the popularity of dual cameras in recently released smart phones, a...
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03/14/2019
Learning Parallax Attention for Stereo Image Super-Resolution
Stereo image pairs can be used to improve the performance of super-resol...
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09/23/2018
Learning for Video Super-Resolution through HR Optical Flow Estimation
Video super-resolution (SR) aims to generate a sequence of high-resoluti...
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08/23/2017
Fast single image super-resolution based on sigmoid transformation
Single image super-resolution aims to generate a high-resolution image f...
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06/20/2017
