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04/11/2022
Towards Homogeneous Modality Learning and Multi-Granularity Information Exploration for Visible-Infrared Person Re-Identification
Visible-infrared person re-identification (VI-ReID) is a challenging and...
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12/08/2021
FPPN: Future Pseudo-LiDAR Frame Prediction for Autonomous Driving
LiDAR sensors are widely used in autonomous driving due to the reliable ...
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08/05/2021
End-to-end Neural Video Coding Using a Compound Spatiotemporal Representation
Recent years have witnessed rapid advances in learnt video coding. Most ...
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04/04/2021
PDWN: Pyramid Deformable Warping Network for Video Interpolation
Video interpolation aims to generate a non-existent intermediate frame g...
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02/24/2021
SFANet: A Spectrum-aware Feature Augmentation Network for Visible-Infrared Person Re-Identification
Visible-Infrared person re-identification (VI-ReID) is a challenging mat...
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07/09/2020
Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model
Over the past two decades, traditional block-based video coding has made...
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06/20/2020
Pseudo-LiDAR Point Cloud Interpolation Based on 3D Motion Representation and Spatial Supervision
Pseudo-LiDAR point cloud interpolation is a novel and challenging task i...
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03/18/2020
Object-Based Image Coding: A Learning-Driven Revisit
The Object-Based Image Coding (OBIC) that was extensively studied about ...
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12/13/2019
Learned Video Compression via Joint Spatial-Temporal Correlation Exploration
Traditional video compression technologies have been developed over deca...
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09/28/2019
A Dual Camera System for High Spatiotemporal Resolution Video Acquisition
This paper presents a dual camera system for high spatiotemporal resolut...
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09/26/2019
Learned Point Cloud Geometry Compression
This paper presents a novel end-to-end Learned Point Cloud Geometry Comp...
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09/16/2019
PLIN: A Network for Pseudo-LiDAR Point Cloud Interpolation
LiDAR sensors can provide dependable 3D spatial information at a low fre...
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04/22/2019
Non-local Attention Optimized Deep Image Compression
This paper proposes a novel Non-Local Attention Optimized Deep Image Com...
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04/08/2019
Extreme Image Compression via Multiscale Autoencoders With Generative Adversarial Optimization
We propose a MultiScale AutoEncoder(MSAE) based extreme image compressio...
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06/05/2018
