Search Results for author: Haoyu Chen

Found 21 papers, 9 papers with code

On Learning and Testing of Counterfactual Fairness through Data Preprocessing

no code implementations25 Feb 2022 Haoyu Chen, Wenbin Lu, Rui Song, Pulak Ghosh

Machine learning has become more important in real-life decision-making but people are concerned about the ethical problems it may bring when used improperly.

Decision Making Fairness

Geometry-Contrastive Transformer for Generalized 3D Pose Transfer

1 code implementation14 Dec 2021 Haoyu Chen, Hao Tang, Zitong Yu, Nicu Sebe, Guoying Zhao

Specifically, we propose a novel geometry-contrastive Transformer that has an efficient 3D structured perceiving ability to the global geometric inconsistencies across the given meshes.

Pose Transfer

AniFormer: Data-driven 3D Animation with Transformer

1 code implementation20 Oct 2021 Haoyu Chen, Hao Tang, Nicu Sebe, Guoying Zhao

Instead, we introduce AniFormer, a novel Transformer-based architecture, that generates animated 3D sequences by directly taking the raw driving sequences and arbitrary same-type target meshes as inputs.

iMiGUE: An Identity-free Video Dataset for Micro-Gesture Understanding and Emotion Analysis

1 code implementation CVPR 2021 Xin Liu, Henglin Shi, Haoyu Chen, Zitong Yu, Xiaobai Li, Guoying Zhaoz?

We introduce a new dataset for the emotional artificial intelligence research: identity-free video dataset for Micro-Gesture Understanding and Emotion analysis (iMiGUE).

Emotion Recognition

Attention in Attention Network for Image Super-Resolution

2 code implementations19 Apr 2021 Haoyu Chen, Jinjin Gu, Zhi Zhang

In this work, we attempt to quantify and visualize attention mechanisms in SISR and show that not all attention modules are equally beneficial.

Image Super-Resolution Single Image Super Resolution

Counterfactual Fairness through Data Preprocessing

no code implementations1 Jan 2021 Haoyu Chen, Wenbin Lu, Rui Song, Pulak Ghosh

Machine learning has become more important in real-life decision-making but people are concerned about the ethical problems it may bring when used improperly.

Decision Making Fairness

Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric

no code implementations30 Nov 2020 Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy Ren, Chao Dong

To answer the questions and promote the development of IQA methods, we contribute a large-scale IQA dataset, called Perceptual Image Processing ALgorithms (PIPAL) dataset.

Image Quality Assessment Image Restoration

Statistical Inference for Online Decision-Making: In a Contextual Bandit Setting

no code implementations14 Oct 2020 Haoyu Chen, Wenbin Lu, Rui Song

Based on the properties of the parameter estimators, we further show that the in-sample inverse propensity weighted value estimator is asymptotically normal.

Decision Making

Statistical Inference for Online Decision Making via Stochastic Gradient Descent

1 code implementation14 Oct 2020 Haoyu Chen, Wenbin Lu, Rui Song

Focusing on the statistical inference of online decision making, we establish the asymptotic normality of the parameter estimator produced by our algorithm and the online inverse probability weighted value estimator we used to estimate the optimal value.

Decision Making

2nd Place Scheme on Action Recognition Track of ECCV 2020 VIPriors Challenges: An Efficient Optical Flow Stream Guided Framework

no code implementations10 Aug 2020 Haoyu Chen, Zitong Yu, Xin Liu, Wei Peng, Yoon Lee, Guoying Zhao

To address the problem of training on small datasets for action recognition tasks, most prior works are either based on a large number of training samples or require pre-trained models transferred from other large datasets to tackle overfitting problems.

Action Recognition Optical Flow Estimation

PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration

no code implementations ECCV 2020 Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy Ren, Chao Dong

To answer these questions and promote the development of IQA methods, we contribute a large-scale IQA dataset, called Perceptual Image Processing Algorithms (PIPAL) dataset.

Image Quality Assessment Image Restoration +1

Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching

1 code implementation11 Nov 2019 Wei Peng, Xiaopeng Hong, Haoyu Chen, Guoying Zhao

Human action recognition from skeleton data, fueled by the Graph Convolutional Network (GCN), has attracted lots of attention, due to its powerful capability of modeling non-Euclidean structure data.

Action Recognition Neural Architecture Search +1

Super-Resolution Perception for Industrial Sensor Data

no code implementations6 Sep 2018 Jinjin Gu, Haoyu Chen, Guolong Liu, Gaoqi Liang, Xinlei Wang, Junhua Zhao

In this paper, we present the problem formulation and methodology framework of Super-Resolution Perception (SRP) on industrial sensor data.

Fault Detection Super-Resolution

An Efficient Minibatch Acceptance Test for Metropolis-Hastings

no code implementations19 Oct 2016 Daniel Seita, Xinlei Pan, Haoyu Chen, John Canny

We present a novel Metropolis-Hastings method for large datasets that uses small expected-size minibatches of data.

Fast Parallel SAME Gibbs Sampling on General Discrete Bayesian Networks

no code implementations19 Nov 2015 Daniel Seita, Haoyu Chen, John Canny

A fundamental task in machine learning and related fields is to perform inference on Bayesian networks.

Experiments on Parallel Training of Deep Neural Network using Model Averaging

1 code implementation5 Jul 2015 Hang Su, Haoyu Chen

Data is partitioned and distributed to different nodes for local model updates, and model averaging across nodes is done every few minibatches.

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