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03/22/2023
RaBit: Parametric Modeling of 3D Biped Cartoon Characters with a Topological-consistent Dataset
Assisting people in efficiently producing visually plausible 3D characte...
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08/17/2022
Open Long-Tailed Recognition in a Dynamic World
Real world data often exhibits a long-tailed and open-ended (with unseen...
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06/15/2022
Masked Frequency Modeling for Self-Supervised Visual Pre-Training
We present Masked Frequency Modeling (MFM), a unified frequency-domain-b...
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03/04/2022
Style-ERD: Responsive and Coherent Online Motion Style Transfer
Motion style transfer is a common method for enriching character animati...
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06/22/2021
Unsupervised Object-Level Representation Learning from Scene Images
Contrastive self-supervised learning has largely narrowed the gap to sup...
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02/09/2021
DetCo: Unsupervised Contrastive Learning for Object Detection
Unsupervised contrastive learning achieves great success in learning ima...
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11/26/2020
Beyond Single Instance Multi-view Unsupervised Representation Learning
Recent unsupervised contrastive representation learning follows a Single...
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08/26/2020
Delving into Inter-Image Invariance for Unsupervised Visual Representations
Contrastive learning has recently shown immense potential in unsupervise...
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06/18/2020
Online Deep Clustering for Unsupervised Representation Learning
Joint clustering and feature learning methods have shown remarkable perf...
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04/06/2020
Self-Supervised Scene De-occlusion
Natural scene understanding is a challenging task, particularly when enc...
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04/01/2020
Learning to Cluster Faces via Confidence and Connectivity Estimation
Face clustering is an essential tool for exploiting the unlabeled face d...
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03/30/2020
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation
Learning a good image prior is a long-term goal for image restoration an...
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09/08/2019
Compound Domain Adaptation in an Open World
Existing works on domain adaptation often assume clear boundaries betwee...
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04/22/2019
Switchable Whitening for Deep Representation Learning
Normalization methods are essential components in convolutional neural n...
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04/10/2019
Large-Scale Long-Tailed Recognition in an Open World
Real world data often have a long-tailed and open-ended distribution. A ...
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04/04/2019
Learning to Cluster Faces on an Affinity Graph
Face recognition sees remarkable progress in recent years, and its perfo...
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03/27/2019
Self-Supervised Learning via Conditional Motion Propagation
Intelligent agent naturally learns from motion. Various self-supervised ...
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09/05/2018
Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition
Face recognition has witnessed great progress in recent years, mainly at...
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12/02/2017
