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04/05/2023
TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration
We propose a novel task for generating 3D dance movements that simultane...
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03/27/2023
OmniAvatar: Geometry-Guided Controllable 3D Head Synthesis
We present OmniAvatar, a novel geometry-guided 3D head synthesis model t...
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03/24/2023
AgileGAN3D: Few-Shot 3D Portrait Stylization by Augmented Transfer Learning
While substantial progresses have been made in automated 2D portrait sty...
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08/01/2022
AvatarGen: a 3D Generative Model for Animatable Human Avatars
Unsupervised generation of clothed virtual humans with various appearanc...
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12/09/2021
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning
Class Incremental Learning (CIL) aims at learning a multi-class classifi...
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06/24/2021
VOLO: Vision Outlooker for Visual Recognition
Visual recognition has been dominated by convolutional neural networks (...
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06/23/2021
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition
In this paper, we present Vision Permutator, a conceptually simple and d...
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06/22/2021
LV-BERT: Exploiting Layer Variety for BERT
Modern pre-trained language models are mostly built upon backbones stack...
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04/22/2021
Token Labeling: Training a 85.4 56M Parameters on ImageNet
This paper provides a strong baseline for vision transformers on the Ima...
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08/06/2020
ConvBERT: Improving BERT with Span-based Dynamic Convolution
Pre-trained language models like BERT and its variants have recently ach...
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08/06/2020
Few-shot Classification via Adaptive Attention
Training a neural network model that can quickly adapt to a new task is ...
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02/11/2020
ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning
Recent powerful pre-trained language models have achieved remarkable per...
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03/22/2019
