Search Results for author: Haoran Chen

Found 13 papers, 3 papers with code

PromptFusion: Decoupling Stability and Plasticity for Continual Learning

no code implementations13 Mar 2023 Haoran Chen, Zuxuan Wu, Xintong Han, Menglin Jia, Yu-Gang Jiang

Such a trade-off is referred to as the stabilityplasticity dilemma and is a more general and challenging problem for continual learning.

Class Incremental Learning Incremental Learning

Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation

no code implementations30 Sep 2022 Haoran Chen, Zuxuan Wu, Yu-Gang Jiang

Most existing methods for multi-source unsupervised domain adaptation (UDA) rely on a common encoder to extract domain-invariant features.

Multi-Source Unsupervised Domain Adaptation Unsupervised Domain Adaptation

Facial Attribute Transformers for Precise and Robust Makeup Transfer

no code implementations7 Apr 2021 Zhaoyi Wan, Haoran Chen, Jielei Zhang, Wentao Jiang, Cong Yao, Jiebo Luo

In this paper, we address the problem of makeup transfer, which aims at transplanting the makeup from the reference face to the source face while preserving the identity of the source.

Face Generation

The MSR-Video to Text Dataset with Clean Annotations

1 code implementation12 Feb 2021 Haoran Chen, Jianmin Li, Simone Frintrop, Xiaolin Hu

We cleaned the MSR-VTT annotations by removing these problems, then tested several typical video captioning models on the cleaned dataset.

Video Captioning

Delving Deeper into the Decoder for Video Captioning

1 code implementation16 Jan 2020 Haoran Chen, Jianmin Li, Xiaolin Hu

Video captioning is an advanced multi-modal task which aims to describe a video clip using a natural language sentence.

Video Captioning Video Description

A Semantics-Assisted Video Captioning Model Trained with Scheduled Sampling

2 code implementations31 Aug 2019 Haoran Chen, Ke Lin, Alexander Maye, Jianming Li, Xiaolin Hu

Given the features of a video, recurrent neural networks can be used to automatically generate a caption for the video.

Video Captioning

Double-Coupling Learning for Multi-Task Data Stream Classification

no code implementations15 Aug 2019 Yingzhong Shi, Zhaohong Deng, Haoran Chen, Kup-Sze Choi, Shitong Wang

Data stream classification methods demonstrate promising performance on a single data stream by exploring the cohesion in the data stream.

Classification General Classification

Multi-View Fuzzy Clustering with The Alternative Learning between Shared Hidden Space and Partition

no code implementations12 Aug 2019 Zhaohong Deng, Chen Cui, Peng Xu, Ling Liang, Haoran Chen, Te Zhang, Shitong Wang

How to exploit the relation-ship between different views effectively using the characteristic of multi-view data has become a crucial challenge.

Locality Preserving Projections for Grassmann manifold

no code implementations27 Apr 2017 Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Haoran Chen, Bao-Cai Yin

Learning on Grassmann manifold has become popular in many computer vision tasks, with the strong capability to extract discriminative information for imagesets and videos.

Dimensionality Reduction

Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications

no code implementations21 Sep 2016 Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Bao-Cai Yin

Partial least squares regression (PLSR) has been a popular technique to explore the linear relationship between two datasets.

General Classification regression

Fast Optimization Algorithm on Riemannian Manifolds and Its Application in Low-Rank Representation

no code implementations7 Dec 2015 Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu

The paper addresses the problem of optimizing a class of composite functions on Riemannian manifolds and a new first order optimization algorithm (FOA) with a fast convergence rate is proposed.

Matrix Completion

The Extended UCB Policies for Frequentist Multi-armed Bandit Problems

no code implementations8 Dec 2011 Keqin Liu, Haoran Chen, Weibing Deng, Ting Wu

The multi-armed bandit (MAB) problem is a widely studied model in the field of reinforcement learning.

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