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08/17/2023
Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D Scenes
3D scene understanding has gained significant attention due to its wide ...
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07/25/2023
3DRP-Net: 3D Relative Position-aware Network for 3D Visual Grounding
3D visual grounding aims to localize the target object in a 3D point clo...
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07/18/2023
Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding
3D visual grounding involves finding a target object in a 3D scene that ...
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05/22/2023
Connecting Multi-modal Contrastive Representations
Multi-modal Contrastive Representation (MCR) learning aims to encode dif...
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03/09/2023
MixSpeech: Cross-Modality Self-Learning with Audio-Visual Stream Mixup for Visual Speech Translation and Recognition
Multi-media communications facilitate global interaction among people. H...
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11/16/2017
Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks
Frame interpolation attempts to synthesise intermediate frames given one...
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07/10/2017
Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize
The most prominent problem associated with the deconvolution layer is th...
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11/16/2016
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation
Convolutional neural networks have enabled accurate image super-resoluti...
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09/22/2016
Is the deconvolution layer the same as a convolutional layer?
In this note, we want to focus on aspects related to two questions most ...
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09/16/2016
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Recently, several models based on deep neural networks have achieved gre...
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09/15/2016