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08/23/2023
OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes
In this work, we seek to predict camera poses across scenes with a multi...
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07/31/2023
Poly-MOT: A Polyhedral Framework For 3D Multi-Object Tracking
3D Multi-object tracking (MOT) empowers mobile robots to accomplish well...
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01/08/2023
DeepMatcher: A Deep Transformer-based Network for Robust and Accurate Local Feature Matching
Local feature matching between images remains a challenging task, especi...
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01/12/2020
Deep Optimized Multiple Description Image Coding via Scalar Quantization Learning
In this paper, we introduce a deep multiple description coding (MDC) fra...
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01/12/2020
Concurrently Extrapolating and Interpolating Networks for Continuous Model Generation
Most deep image smoothing operators are always trained repetitively when...
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03/24/2019
Joint Learning of Discriminative Low-dimensional Image Representations Based on Dictionary Learning and Two-layer Orthogonal Projections
This work investigates the problem of efficiently learning discriminativ...
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11/05/2018
Deep Multiple Description Coding by Learning Scalar Quantization
In this paper, we propose a deep multiple description coding framework, ...
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06/22/2018
Virtual Codec Supervised Re-Sampling Network for Image Compression
In this paper, we propose an image re-sampling compression method by lea...
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02/02/2018
Mixed-Resolution Image Representation and Compression with Convolutional Neural Networks
In this paper, we propose a end-to-end mixed-resolution image compressio...
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01/20/2018
Multiple Description Convolutional Neural Networks for Image Compression
Multiple description coding (MDC) is able to stably transmit the signal ...
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12/16/2017
Learning a Virtual Codec Based on Deep Convolutional Neural Network to Compress Image
Although deep convolutional neural network has been proved to efficientl...
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07/09/2017