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04/10/2023
Feature Representation Learning with Adaptive Displacement Generation and Transformer Fusion for Micro-Expression Recognition
Micro-expressions are spontaneous, rapid and subtle facial movements tha...
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10/25/2022
Explicitly Increasing Input Information Density for Vision Transformers on Small Datasets
Vision Transformers have attracted a lot of attention recently since the...
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01/22/2022
Dual-Flattening Transformers through Decomposed Row and Column Queries for Semantic Segmentation
It is critical to obtain high resolution features with long range depend...
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10/21/2021
A Domain Gap Aware Generative Adversarial Network for Multi-domain Image Translation
Recent image-to-image translation models have shown great success in map...
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08/17/2021
DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer
The paper proposes a Dynamic ResBlock Generative Adversarial Network (DR...
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08/05/2021
Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image Captioning
Existing image captioning methods just focus on understanding the relati...
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10/04/2019
Direct Visual-Inertial Odometry with Semi-Dense Mapping
The paper presents a direct visual-inertial odometry system. In particul...
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10/04/2019
Adaptively Denoising Proposal Collection for Weakly Supervised Object Localization
In this paper, we address the problem of weakly supervised object locali...
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10/04/2019
Stacked Wasserstein Autoencoder
Approximating distributions over complicated manifolds, such as natural ...
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05/21/2019
Toward Learning a Unified Many-to-Many Mapping for Diverse Image Translation
Image-to-image translation, which translates input images to a different...
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03/02/2019
Time-Delay Momentum: A Regularization Perspective on the Convergence and Generalization of Stochastic Momentum for Deep Learning
In this paper we study the problem of convergence and generalization err...
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02/14/2019