Haoyu Chen | DeepAI

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Xin Li
301 publications
Yang Yang
251 publications
Meng Wang
217 publications
Xin Liu
216 publications
Radu Timofte
174 publications
Nicu Sebe
171 publications
Li Liu
154 publications
Hao Tang
151 publications
Jure Leskovec
142 publications
Lei Zhu
121 publications
Hang Su
109 publications

∙ 05/29/2023

Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off

Super-resolution (SR) techniques designed for real-world applications co...

0 Ruofan Zhang, et al. ∙

∙ 03/27/2023

Learning a Deep Color Difference Metric for Photographic Images

Most well-established and widely used color difference (CD) metrics are ...

0 Haoyu Chen, et al. ∙

∙ 03/23/2023

Masked Image Training for Generalizable Deep Image Denoising

When capturing and storing images, devices inevitably introduce noise. R...

6 Haoyu Chen, et al. ∙

∙ 03/17/2023

Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions

Multimodality eye disease screening is crucial in ophthalmology as it in...

4 Ke Zou, et al. ∙

∙ 03/03/2023

Prior Information based Decomposition and Reconstruction Learning for Micro-Expression Recognition

Micro-expression recognition (MER) draws intensive research interest as ...

0 Jinsheng Wei, et al. ∙

∙ 01/24/2023

Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning

Given a model well-trained with a large-scale base dataset, Few-Shot Cla...

0 Yawen Cui, et al. ∙

∙ 10/05/2022

Hiding Images in Deep Probabilistic Models

Data hiding with deep neural networks (DNNs) has experienced impressive ...

0 Haoyu Chen, et al. ∙

∙ 07/02/2022

Golfer: Trajectory Prediction with Masked Goal Conditioning MnM Network

Transformers have enabled breakthroughs in NLP and computer vision, and ...

0 Xiaocheng Tang, et al. ∙

∙ 05/24/2022

ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest

Learned embeddings for products are an important building block for web-...

3 Paul Baltescu, et al. ∙

∙ 05/10/2022

KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long-Term Trajectory Prediction

Predicting future trajectories of road agents is a critical task for aut...

0 Qiujing Lu, et al. ∙

∙ 02/25/2022

On Learning and Testing of Counterfactual Fairness through Data Preprocessing

Machine learning has become more important in real-life decision-making ...

0 Haoyu Chen, et al. ∙

∙ 12/14/2021

Geometry-Contrastive Transformer for Generalized 3D Pose Transfer

We present a customized 3D mesh Transformer model for the pose transfer ...

3 Haoyu Chen, et al. ∙

∙ 10/20/2021

AniFormer: Data-driven 3D Animation with Transformer

We present a novel task, i.e., animating a target 3D object through the ...

0 Haoyu Chen, et al. ∙

∙ 08/17/2021

Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer

With the strength of deep generative models, 3D pose transfer regains in...

0 Haoyu Chen, et al. ∙

∙ 07/01/2021

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

We introduce a new dataset for the emotional artificial intelligence res...

0 Xin Liu, et al. ∙

∙ 04/19/2021

Attention in Attention Network for Image Super-Resolution

Convolutional neural networks have allowed remarkable advances in single...

10 Haoyu Chen, et al. ∙

∙ 11/30/2020

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

Image quality assessment (IQA) is the key factor for the fast developmen...

8 Jinjin Gu, et al. ∙

∙ 10/14/2020

Statistical Inference for Online Decision Making via Stochastic Gradient Descent

Online decision making aims to learn the optimal decision rule by making...

0 Haoyu Chen, et al. ∙

∙ 10/14/2020

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

Online decision-making problem requires us to make a sequence of decisio...

0 Haoyu Chen, et al. ∙

∙ 09/14/2020

AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results

This paper reviews the video extreme super-resolution challenge associat...

9 Dario Fuoli, et al. ∙

∙ 08/26/2020

Low Tensor Train- and Low Multilinear Rank Approximations for De-speckling and Compression of 3D Optical Coherence Tomography Images

This paper proposes low tensor-train (TT) rank and low multilinear (ML) ...

0 Ivica Kopriva, et al. ∙

∙ 08/10/2020

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

To address the problem of training on small datasets for action recognit...

0 Haoyu Chen, et al. ∙

∙ 07/23/2020

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

Image quality assessment (IQA) is the key factor for the fast developmen...

0 Jinjin Gu, et al. ∙

∙ 11/11/2019

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

Human action recognition from skeleton data, fueled by the Graph Convolu...

0 Wei Peng, et al. ∙

∙ 10/19/2016

An Efficient Minibatch Acceptance Test for Metropolis-Hastings

We present a novel Metropolis-Hastings method for large datasets that us...

0 Daniel Seita, et al. ∙

∙ 11/19/2015

Fast Parallel SAME Gibbs Sampling on General Discrete Bayesian Networks

A fundamental task in machine learning and related fields is to perform ...

0 Daniel Seita, et al. ∙

∙ 07/05/2015

Experiments on Parallel Training of Deep Neural Network using Model Averaging

In this work we apply model averaging to parallel training of deep neura...

0 Hang Su, et al. ∙

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