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12/23/2022
A Close Look at Spatial Modeling: From Attention to Convolution
Vision Transformers have shown great promise recently for many vision ta...
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10/09/2022
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP
Open-vocabulary semantic segmentation aims to segment an image into sema...
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09/24/2022
S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction
The technology of hyperspectral imaging (HSI) records the visual informa...
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03/08/2022
Dual Lottery Ticket Hypothesis
Fully exploiting the learning capacity of neural networks requires overp...
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10/12/2021
Sign Language Recognition via Skeleton-Aware Multi-Model Ensemble
Sign language is commonly used by deaf or mute people to communicate but...
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03/16/2021
Skeleton Based Sign Language Recognition Using Whole-body Keypoints
Sign language is a visual language that is used by deaf or speech impair...
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01/11/2021
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts
Learning visual knowledge from massive weakly-labeled web videos has att...
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09/21/2020
Recent Developments on Factor Models and its Applications in Econometric Learning
This paper makes a selective survey on the recent development of the fac...
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03/30/2020
Adversarial Feature Hallucination Networks for Few-Shot Learning
The recent flourish of deep learning in various tasks is largely accredi...
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09/06/2019
Visual Semantic Reasoning for Image-Text Matching
Image-text matching has been a hot research topic bridging the vision an...
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03/24/2019
Residual Non-local Attention Networks for Image Restoration
In this paper, we propose a residual non-local attention network for hig...
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08/18/2018
Support Neighbor Loss for Person Re-Identification
Person re-identification (re-ID) has recently been tremendously boosted ...
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07/08/2018
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
Convolutional neural network (CNN) depth is of crucial importance for im...
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02/27/2018
