Chi Harold Liu | DeepAI

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Featured Co-authors

Wei Li
286 publications
Kai Chen
182 publications
Jian Tang
129 publications
Yanzhi Wang
123 publications
Shuang Li
106 publications
Gao Huang
92 publications
Jian Liang
68 publications
Ruigang Yang
57 publications
Han Li
49 publications
Zhengming Ding
32 publications
Lydia Y. Chen
28 publications

∙ 12/04/2022

FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge

Deep Neural Networks (DNNs) have been ubiquitously adopted in internet o...

0 Yaxin Luopan, et al. ∙

∙ 11/22/2022

VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions

Generalizing models trained on normal visual conditions to target domain...

1 Mingjia Li, et al. ∙

∙ 08/11/2022

HiTailor: Interactive Transformation and Visualization for Hierarchical Tabular Data

Tabular visualization techniques integrate visual representations with t...

0 Guozheng Li, et al. ∙

∙ 08/02/2022

Making the Best of Both Worlds: A Domain-Oriented Transformer for Unsupervised Domain Adaptation

Extensive studies on Unsupervised Domain Adaptation (UDA) have propelled...

9 Wenxuan Ma, et al. ∙

∙ 04/26/2022

ROMA: Cross-Domain Region Similarity Matching for Unpaired Nighttime Infrared to Daytime Visible Video Translation

Infrared cameras are often utilized to enhance the night vision since th...

3 Zhenjie Yu, et al. ∙

∙ 04/19/2022

SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation

Domain adaptive semantic segmentation attempts to make satisfactory dens...

8 Binhui Xie, et al. ∙

∙ 03/27/2022

Causality Inspired Representation Learning for Domain Generalization

Domain generalization (DG) is essentially an out-of-distribution problem...

13 Fangrui Lv, et al. ∙

∙ 02/17/2022

CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving

Vision-based autonomous urban driving in dense traffic is quite challeng...

2 Yinuo Zhao, et al. ∙

∙ 12/18/2021

LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision

Deep neural networks (DNNs) have become ubiquitous techniques in mobile ...

17 Rui Han, et al. ∙

∙ 12/08/2021

Pareto Domain Adaptation

Domain adaptation (DA) attempts to transfer the knowledge from a labeled...

6 Fangrui Lv, et al. ∙

∙ 12/02/2021

Active Learning for Domain Adaptation: An Energy-based Approach

Unsupervised domain adaptation has recently emerged as an effective para...

6 Binhui Xie, et al. ∙

∙ 11/25/2021

Exploiting Both Domain-specific and Invariant Knowledge via a Win-win Transformer for Unsupervised Domain Adaptation

Unsupervised Domain Adaptation (UDA) aims to transfer knowledge from a l...

3 Wenxuan Ma, et al. ∙

∙ 11/25/2021

Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation

Self-training has greatly facilitated domain adaptive semantic segmentat...

1 Binhui Xie, et al. ∙

∙ 08/12/2021

Semantic Concentration for Domain Adaptation

Domain adaptation (DA) paves the way for label annotation and dataset bi...

2 Shuang Li, et al. ∙

∙ 08/02/2021

I2V-GAN: Unpaired Infrared-to-Visible Video Translation

Human vision is often adversely affected by complex environmental factor...

4 Shuang Li, et al. ∙

∙ 05/11/2021

Semantic Distribution-aware Contrastive Adaptation for Semantic Segmentation

Domain adaptive semantic segmentation refers to making predictions on a ...

10 Shuang Li, et al. ∙

∙ 03/23/2021

MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition

Real-world training data usually exhibits long-tailed distribution, wher...

2 Shuang Li, et al. ∙

∙ 03/23/2021

Transferable Semantic Augmentation for Domain Adaptation

Domain adaptation has been widely explored by transferring the knowledge...

0 Shuang Li, et al. ∙

∙ 03/23/2021

Generalized Domain Conditioned Adaptation Network

Domain Adaptation (DA) attempts to transfer knowledge learned in the lab...

2 Shuang Li, et al. ∙

∙ 12/13/2020

Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation

Unsupervised domain adaptation challenges the problem of transferring kn...

6 Shuang Li, et al. ∙

∙ 08/04/2020

Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation

Heterogeneous domain adaptation (HDA) transfers knowledge across source ...

0 Shuang Li, et al. ∙

∙ 05/14/2020

Domain Conditioned Adaptation Network

Tremendous research efforts have been made to thrive deep domain adaptat...

2 Shuang Li, et al. ∙

∙ 04/10/2020

Deep Residual Correction Network for Partial Domain Adaptation

Deep domain adaptation methods have achieved appealing performance by le...

0 Shuang Li, et al. ∙

∙ 01/17/2018

Experience-driven Networking: A Deep Reinforcement Learning based Approach

Modern communication networks have become very complicated and highly dy...

0 Zhiyuan Xu, et al. ∙

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