1 code implementation • 27 Nov 2023 • Haoze Sun, Wenbo Li, Jianzhuang Liu, Haoyu Chen, Renjing Pei, Xueyi Zou, Youliang Yan, Yujiu Yang
We achieve this by marrying image appearance and language understanding to generate a cognitive embedding, which not only activates prior information from large text-to-image diffusion models but also facilitates the generation of high-quality reference images to optimize the SR process.
no code implementations • 29 May 2023 • Ruofan Zhang, Jinjin Gu, Haoyu Chen, Chao Dong, Yulun Zhang, Wenming Yang
In this work, we introduce a novel approach to craft training degradation distributions using a small set of reference images.
no code implementations • 8 Apr 2023 • Meng Wang, Tian Lin, Lianyu Wang, Aidi Lin, Ke Zou, Xinxing Xu, Yi Zhou, Yuanyuan Peng, Qingquan Meng, Yiming Qian, Guoyao Deng, Zhiqun Wu, Junhong Chen, Jianhong Lin, Mingzhi Zhang, Weifang Zhu, Changqing Zhang, Daoqiang Zhang, Rick Siow Mong Goh, Yong liu, Chi Pui Pang, Xinjian Chen, Haoyu Chen, Huazhu Fu
Failure to recognize samples from the classes unseen during training is a major limitation of artificial intelligence in the real-world implementation for recognition and classification of retinal anomalies.
1 code implementation • CVPR 2023 • Haoyu Chen, Zhihua Wang, Yang Yang, Qilin Sun, Kede Ma
Most well-established and widely used color difference (CD) metrics are handcrafted and subject-calibrated against uniformly colored patches, which do not generalize well to photographic images characterized by natural scene complexities.
1 code implementation • CVPR 2023 • Haoyu Chen, Jinjin Gu, Yihao Liu, Salma Abdel Magid, Chao Dong, Qiong Wang, Hanspeter Pfister, Lei Zhu
To address this issue, we present a novel approach to enhance the generalization performance of denoising networks, known as masked training.
1 code implementation • 17 Mar 2023 • Ke Zou, Tian Lin, Xuedong Yuan, Haoyu Chen, Xiaojing Shen, Meng Wang, Huazhu Fu
To address this issue, we introduce a novel multimodality evidential fusion pipeline for eye disease screening, EyeMoSt, which provides a measure of confidence for unimodality and elegantly integrates the multimodality information from a multi-distribution fusion perspective.
no code implementations • 3 Mar 2023 • Jinsheng Wei, Haoyu Chen, Guanming Lu, Jingjie Yan, Yue Xie, Guoying Zhao
To solve this issue, driven by the prior information that the category of ME can be inferred by the relationship between the actions of facial different components, this work designs a novel model that can conform to this prior information and learn ME movement features in an interpretable way.
Graph Representation Learning
Micro Expression Recognition
+1
1 code implementation • 24 Jan 2023 • Yawen Cui, Wanxia Deng, Haoyu Chen, Li Liu
Given a model well-trained with a large-scale base dataset, Few-Shot Class-Incremental Learning (FSCIL) aims at incrementally learning novel classes from a few labeled samples by avoiding overfitting, without catastrophically forgetting all encountered classes previously.
no code implementations • ICCV 2023 • Haoyu Chen, Jingjing Ren, Jinjin Gu, Hongtao Wu, Xuequan Lu, Haoming Cai, Lei Zhu
We also develop a deep learning framework for video snow removal.
no code implementations • 5 Oct 2022 • Haoyu Chen, Linqi Song, Zhenxing Qian, Xinpeng Zhang, Kede Ma
As an instantiation, we adopt a SinGAN, a pyramid of generative adversarial networks (GANs), to learn the patch distribution of one cover image.
no code implementations • 2 Jul 2022 • Xiaocheng Tang, Soheil Sadeghi Eshkevari, Haoyu Chen, Weidan Wu, Wei Qian, Xiaoming Wang
Transformers have enabled breakthroughs in NLP and computer vision, and have recently began to show promising performance in trajectory prediction for Autonomous Vehicle (AV).
no code implementations • 24 May 2022 • Paul Baltescu, Haoyu Chen, Nikil Pancha, Andrew Zhai, Jure Leskovec, Charles Rosenberg
Learned embeddings for products are an important building block for web-scale e-commerce recommendation systems.
no code implementations • 10 May 2022 • QIUJING LU, Weiqiao Han, Jeffrey Ling, Minfa Wang, Haoyu Chen, Balakrishnan Varadarajan, Paul Covington
Predicting future trajectories of road agents is a critical task for autonomous driving.
no code implementations • 25 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.
1 code implementation • 14 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.
1 code implementation • 20 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.
1 code implementation • ICCV 2021 • Haoyu Chen, Hao Tang, Henglin Shi, Wei Peng, Nicu Sebe, Guoying Zhao
With the strength of deep generative models, 3D pose transfer regains intensive research interests in recent years.
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).
2 code implementations • 19 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.
no code implementations • 1 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.
no code implementations • 30 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.
1 code implementation • 14 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.
no code implementations • 14 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.
no code implementations • 14 Sep 2020 • Dario Fuoli, Zhiwu Huang, Shuhang Gu, Radu Timofte, Arnau Raventos, Aryan Esfandiari, Salah Karout, Xuan Xu, Xin Li, Xin Xiong, Jinge Wang, Pablo Navarrete Michelini, Wen-Hao Zhang, Dongyang Zhang, Hanwei Zhu, Dan Xia, Haoyu Chen, Jinjin Gu, Zhi Zhang, Tongtong Zhao, Shanshan Zhao, Kazutoshi Akita, Norimichi Ukita, Hrishikesh P. S, Densen Puthussery, Jiji C. V
Missing information can be restored well in this region, especially in HR videos, where the high-frequency content mostly consists of texture details.
1 code implementation • 21 Aug 2020 • Zitong Yu, Benjia Zhou, Jun Wan, Pichao Wang, Haoyu Chen, Xin Liu, Stan Z. Li, Guoying Zhao
Gesture recognition has attracted considerable attention owing to its great potential in applications.
no code implementations • 10 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.
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.
1 code implementation • 11 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.
no code implementations • 6 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.
no code implementations • 19 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.
no code implementations • 19 Nov 2015 • Daniel Seita, Haoyu Chen, John Canny
A fundamental task in machine learning and related fields is to perform inference on Bayesian networks.
1 code implementation • 5 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.