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05/12/2022
F3A-GAN: Facial Flow for Face Animation with Generative Adversarial Networks
Formulated as a conditional generation problem, face animation aims at s...
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07/13/2021
Multitask Identity-Aware Image Steganography via Minimax Optimization
High-capacity image steganography, aimed at concealing a secret image in...
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05/30/2021
VersatileGait: A Large-Scale Synthetic Gait Dataset Towards in-the-Wild Simulation
Gait recognition has a rapid development in recent years. However, gait ...
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05/24/2021
Recent Advances and Trends in Multimodal Deep Learning: A Review
Deep Learning has implemented a wide range of applications and has becom...
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03/22/2021
Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion
RGB-D salient object detection (SOD) is usually formulated as a problem ...
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03/04/2021
Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning
Unsupervised domain adaptation (UDA) typically carries out knowledge tra...
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01/05/2021
VersatileGait: A Large-Scale Synthetic Gait Dataset with Fine-GrainedAttributes and Complicated Scenarios
With the motivation of practical gait recognition applications, we propo...
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06/28/2020
Few-Shot Class-Incremental Learning via Feature Space Composition
As a challenging problem in machine learning, few-shot class-incremental...
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06/08/2020
ResKD: Residual-Guided Knowledge Distillation
Knowledge distillation has emerge as a promising technique for compressi...
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05/04/2020
How to Train Your Dragon: Tamed Warping Network for Semantic Video Segmentation
Real-time semantic segmentation on high-resolution videos is challenging...
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03/31/2020
Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation
To satisfy the stringent requirements on computational resources in the ...
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03/31/2020
BANet: Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation
Panoptic segmentation aims to perform instance segmentation for foregrou...
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03/30/2020
TapLab: A Fast Framework for Semantic Video Segmentation Tapping into Compressed-Domain Knowledge
Real-time semantic video segmentation is a challenging task due to the s...
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05/07/2019
