Yunhui Guo | DeepAI

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Featured Co-authors

Kristen Grauman
102 publications
Tianbao Yang
90 publications
Feng Chen
89 publications
Chen Zhao
78 publications
Rogerio Feris
74 publications
Yu Xiang
57 publications
Stella X. Yu
52 publications
Leonid Karlinsky
42 publications
Abhishek Kumar
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Yapeng Tian
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Liqiang Wang
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∙ 09/18/2023

Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective

Two prevalent types of distributional shifts in machine learning are the...

0 Haoliang Wang, et al. ∙

∙ 08/21/2023

Audio-Visual Class-Incremental Learning

In this paper, we introduce audio-visual class-incremental learning, a c...

0 Weiguo Pian, et al. ∙

∙ 07/04/2023

Unsupervised Feature Learning with Emergent Data-Driven Prototypicality

Given an image set without any labels, our goal is to train a model that...

0 Yunhui Guo, et al. ∙

∙ 02/07/2023

Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction

We introduce a novel robotic system for improving unseen object instance...

0 Yangxiao Lu, et al. ∙

∙ 08/24/2022

SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge

Unsupervised lifelong learning refers to the ability to learn over time ...

0 Xiaofan Yu, et al. ∙

∙ 04/25/2022

Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers

Unsupervised semantic segmentation aims to discover groupings within and...

0 Tsung-Wei Ke, et al. ∙

∙ 11/30/2021

CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data

Hyperbolic space can embed tree metric with little distortion, a desirab...

0 Yunhui Guo, et al. ∙

∙ 07/23/2021

Free Hyperbolic Neural Networks with Limited Radii

Non-Euclidean geometry with constant negative curvature, i.e., hyperboli...

0 Yunhui Guo, et al. ∙

∙ 12/16/2019

A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning

Recent progress on few-shot learning has largely re-lied on annotated da...

0 Yunhui Guo, et al. ∙

∙ 11/21/2019

AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning

There is an increasing number of pre-trained deep neural network models....

0 Yunhui Guo, et al. ∙

∙ 09/25/2019

Learning with Long-term Remembering: Following the Lead of Mixed Stochastic Gradient

Current deep neural networks can achieve remarkable performance on a sin...

0 Yunhui Guo, et al. ∙

∙ 02/03/2019

Depthwise Convolution is All You Need for Learning Multiple Visual Domains

There is a growing interest in designing models that can deal with image...

0 Yunhui Guo, et al. ∙

∙ 11/21/2018

SpotTune: Transfer Learning through Adaptive Fine-tuning

Transfer learning, which allows a source task to affect the inductive bi...

10 Yunhui Guo, et al. ∙

∙ 08/13/2018

A Survey on Methods and Theories of Quantized Neural Networks

Deep neural networks are the state-of-the-art methods for many real-worl...

0 Yunhui Guo, et al. ∙

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