no code implementations • ECCV 2020 • Zhuoning Yuan, Zhishuai Guo, Xiaotian Yu, Xiaoyu Wang, Tianbao Yang
In our experiment, we demonstrate that the proposed frame-work is able to train deep learning models with millions of classes and achieve above 10×speedup compared to existing approaches.
no code implementations • 25 Mar 2024 • Yiming Xie, Henglu Wei, Zhenyi Liu, Xiaoyu Wang, Xiangyang Ji
To advance research in learning-based defogging algorithms, various synthetic fog datasets have been developed.
no code implementations • 22 Dec 2023 • Rui Pan, Yuxing Liu, Xiaoyu Wang, Tong Zhang
This means SGD with heavy-ball momentum is useful in the large-batch settings such as distributed machine learning or federated learning, where a smaller number of iterations can significantly reduce the number of communication rounds, leading to acceleration in practice.
no code implementations • 2 Dec 2023 • Xiaoyu Wang, Yuchi Ma, Qunying Huang, Zhengwei Yang, Zhou Zhang
Furthermore, through an in-depth study of the relationship between mixed pixels and attention, it is verified that our approach can capture critical feature information while filtering out noise from mixed pixels.
no code implementations • 19 Oct 2023 • Xin Zeng, Xiaoyu Wang, Tengxiang Zhang, Chun Yu, Shengdong Zhao, Yiqiang Chen
Current gesture recognition systems primarily focus on identifying gestures within a predefined set, leaving a gap in connecting these gestures to interactive GUI elements or system functions (e. g., linking a 'thumb-up' gesture to a 'like' button).
1 code implementation • 14 Aug 2023 • Yu Liang, Shiliang Zhang, YaoWei Wang, Sheng Xiao, Kenli Li, Xiaoyu Wang
As a solution, backward-compatible training can be employed to avoid the necessity of updating old retrieval datasets.
1 code implementation • NeurIPS 2023 • Yun Yi, Haokui Zhang, Rong Xiao, Nannan Wang, Xiaoyu Wang
It can learn efficient representations from both cell-structured networks and entire networks.
no code implementations • 29 May 2023 • Xiaocan Li, Ray Coden Mercurius, Ayal Taitler, Xiaoyu Wang, Mohammad Noaeen, Scott Sanner, Baher Abdulhai
Moreover, no existing studies have employed reinforcement learning for homogeneous flow rate optimization in microscopic simulation, where spatial characteristics, vehicle-level information, and metering realizations -- often overlooked in macroscopic simulations -- are taken into account.
no code implementations • 22 May 2023 • Xiaoyu Wang, Rui Pan, Renjie Pi, Tong Zhang
To address this issue, we propose a reformulation of bilevel optimization as a minimax problem, effectively decoupling the outer-inner dependency.
no code implementations • 14 May 2023 • Xiaoyu Wang, Kangyao Huang, Xinyu Zhang, Honglin Sun, Wenzhuo LIU, Huaping Liu, Jun Li, Pingping Lu
A robot for the field application environment was proposed, and a lightweight global spatial planning technique for the robot based on the graph-search algorithm taking mode switching point optimization into account, with an emphasis on energy efficiency, searching speed, and the viability of real deployment.
1 code implementation • CVPR 2023 • Guozhang Li, De Cheng, Xinpeng Ding, Nannan Wang, Xiaoyu Wang, Xinbo Gao
For the discriminative objective, we propose a Text-Segment Mining (TSM) mechanism, which constructs a text description based on the action class label, and regards the text as the query to mine all class-related segments.
no code implementations • 1 Mar 2023 • Xiaoyu Wang, Martin Benning
We propose a novel framework for the regularised inversion of deep neural networks.
no code implementations • 28 Jan 2023 • Ruoyu Zhao, Mingrui Zhu, Xiaoyu Wang, Nannan Wang
GPD contains two models: a teacher network with GAN Prior and a student network that fulfills end-to-end translation.
1 code implementation • 19 Dec 2022 • Feng Lin, Wenze Hu, YaoWei Wang, Yonghong Tian, Guangming Lu, Fanglin Chen, Yong Xu, Xiaoyu Wang
In this study, our focus is on a specific challenge: the large-scale, multi-domain universal object detection problem, which contributes to the broader goal of achieving a universal vision system.
no code implementations • ICCV 2023 • Mingrui Zhu, Xiao He, Nannan Wang, Xiaoyu Wang, Xinbo Gao
In this paper, we propose a novel all-to-key attention mechanism -- each position of content features is matched to stable key positions of style features -- that is more in line with the characteristics of style transfer.
1 code implementation • Neural Computing and Applications 2022 • Xianlin Peng, Huayu Zhao, Xiaoyu Wang, Yongqin Zhang, Zhan Li, Qunxi Zhang, Jun Wang, Jinye Peng, Haida Liang
Our network also uses dual-domain partial convolution with a mask for computing on only valid points, whereas the mask is updated for the next layer.
no code implementations • 27 Nov 2022 • Rinyoichi Takezoe, Xu Liu, Shunan Mao, Marco Tianyu Chen, Zhanpeng Feng, Shiliang Zhang, Xiaoyu Wang
As an important data selection schema, active learning emerges as the essential component when iterating an Artificial Intelligence (AI) model.
no code implementations • 26 Nov 2022 • Xiaoyu Wang, Scott Sanner, Baher Abdulhai
Recent years have witnessed substantial growth in adaptive traffic signal control (ATSC) methodologies that improve transportation network efficiency, especially in branches leveraging artificial intelligence based optimization and control algorithms such as reinforcement learning as well as conventional model predictive control.
2 code implementations • CVPR 2023 • Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen
Specifically, we first reserve a short trajectory of global model snapshots on the server.
1 code implementation • CVPR 2023 • Yun Yi, Haokui Zhang, Wenze Hu, Nannan Wang, Xiaoyu Wang
In this paper, we propose a neural architecture representation model that can be used to estimate these attributes holistically.
1 code implementation • ICCV 2023 • Ruihan Xu, Haokui Zhang, Wenze Hu, Shiliang Zhang, Xiaoyu Wang
Specifically, we propose a new convolutional neural network, ParCNetV2, that extends position-aware circular convolution (ParCNet) with oversized convolutions and bifurcate gate units to enhance attention.
2 code implementations • ICCV 2023 • Haokui Zhang, Wenze Hu, Xiaoyu Wang
Currently, one main research line in designing a more efficient vision transformer is reducing the computational cost of self attention modules by adopting sparse attention or using local attention windows.
no code implementations • 8 Oct 2022 • Tao Yang, Haokui Zhang, Wenze Hu, Changwen Chen, Xiaoyu Wang
Transformer models have made tremendous progress in various fields in recent years.
1 code implementation • 7 Oct 2022 • Jihwan Jeong, Xiaoyu Wang, Michael Gimelfarb, Hyunwoo Kim, Baher Abdulhai, Scott Sanner
Offline reinforcement learning (RL) addresses the problem of learning a performant policy from a fixed batch of data collected by following some behavior policy.
no code implementations • 6 Oct 2022 • Chen Li, Xiaoyu Wang, Tongyu Zong, Houwei Cao, Yong liu
Edge caching plays an increasingly important role in boosting user content retrieval performance while reducing redundant network traffic.
no code implementations • 18 Aug 2022 • Xiaoyu Wang, Martin Benning
Instead of estimating the parameters with a combination of first-order optimisation method and back-propagation (as is the state-of-the-art), we propose the use of non-smooth first-order optimisation methods that exploit the specific structure of the novel formulation.
no code implementations • 6 Aug 2022 • Zhikang Wang, Yue Bi, Tong Pan, Xiaoyu Wang, Chris Bain, Richard Bassed, Seiya Imoto, Jianhua Yao, Jiangning Song
Multiple instance learning (MIL) is a powerful approach to classify whole slide images (WSIs) for diagnostic pathology.
1 code implementation • 27 Jul 2022 • Zhanpeng Feng, Shiliang Zhang, Rinyoichi Takezoe, Wenze Hu, Manmohan Chandraker, Li-Jia Li, Vijay K. Narayanan, Xiaoyu Wang
To facilitate the research in this field, this paper contributes an active learning benchmark framework named as ALBench for evaluating active learning in object detection.
1 code implementation • 25 Jul 2022 • Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhan, Tongliang Liu
To alleviate this negative effect, in this paper, we investigate the dependence between outputs of the target model and input adversarial samples from the perspective of information theory, and propose an adversarial defense method.
no code implementations • 4 Jul 2022 • Xiaoyu Wang, Xiangyu Kong, Xiulian Peng, Yan Lu
In this paper we propose a multi-modal multi-correlation learning framework targeting at the task of audio-visual speech separation.
1 code implementation • 22 May 2022 • Yincen Qu, Ningyu Zhang, Hui Chen, Zelin Dai, Zezhong Xu, Chengming Wang, Xiaoyu Wang, Qiang Chen, Huajun Chen
In addition to formulating the new task, we also release a new Benchmark dataset of Salience Evaluation in E-commerce (BSEE) and hope to promote related research on commonsense knowledge salience evaluation.
1 code implementation • 26 Mar 2022 • Phoenix X. Huang, Zhiwei Zhao, Chao Liu, Jingyi Liu, Wenze Hu, Xiaoyu Wang
This paper detailed the engineering system implementation of an automated machine learning system called YMIR, which completely relies on graphical interface to interact with users.
1 code implementation • CVPR 2022 • Hangyu Li, Nannan Wang, Xi Yang, Xiaoyu Wang, Xinbo Gao
In this paper, we learn an Adaptive Confidence Margin (Ada-CM) to fully leverage all unlabeled data for semi-supervised deep facial expression recognition.
Facial Expression Recognition Facial Expression Recognition (FER)
1 code implementation • 21 Mar 2022 • Xiaotian Yu, Yifan Yang, Aibo Wang, Ling Xing, Hanling Yi, Guangming Lu, Xiaoyu Wang
Face clustering is an essential task in computer vision due to the explosion of related applications such as augmented reality or photo album management.
3 code implementations • 8 Mar 2022 • Haokui Zhang, Wenze Hu, Xiaoyu Wang
Experiment results show that the proposed ParC-Net achieves better performance than popular light-weight ConvNets and vision transformer based models in common vision tasks and datasets, while having fewer parameters and faster inference speed.
Ranked #751 on Image Classification on ImageNet
1 code implementation • 4 Mar 2022 • Mingrui Zhu, Yun Yi, Nannan Wang, Xiaoyu Wang, Xinbo Gao
The large discrepancy between the source non-makeup image and the reference makeup image is one of the key challenges in makeup transfer.
no code implementations • 25 Jan 2022 • Xiaoyu Wang, Mikael Johansson
In this note, we investigate uniform boundedness properties of iterates and function values along the trajectories of the stochastic gradient descent algorithm and its important momentum variant.
1 code implementation • 19 Nov 2021 • Phoenix X. Huang, Wenze Hu, William Brendel, Manmohan Chandraker, Li-Jia Li, Xiaoyu Wang
This paper introduces an open source platform to support the rapid development of computer vision applications at scale.
no code implementations • 19 Oct 2021 • Wenrui Li, Xiaoyu Wang, Yuetian Sun, Snezana Milanovic, Mark Kon, Julio Enrique Castrillon-Candas
In this paper, we apply a recently developed multi-level stochastic optimization approach to the problem of imputation in massive medical records.
no code implementations • 30 Jul 2021 • Haokui Zhang, Buzhou Tang, Wenze Hu, Xiaoyu Wang
Specifically, based on transformer, we propose a new network structure to compress the feature into a low dimensional space, and an inhomogeneous neighborhood relationship preserving (INRP) loss that aims to maintain high search accuracy.
no code implementations • 30 Jul 2021 • Xiaotian Yu, Hanling Yi, Yi Yu, Ling Xing, Shiliang Zhang, Xiaoyu Wang
There has been a recent surge of research interest in attacking the problem of social relation inference based on images.
no code implementations • 10 Jun 2021 • Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Jun Yu, Xiaoyu Wang, Tongliang Liu
However, pre-processing methods may suffer from the robustness degradation effect, in which the defense reduces rather than improving the adversarial robustness of a target model in a white-box setting.
no code implementations • 5 Jun 2021 • Xiaoyu Wang, Mikael Johansson
Many popular learning-rate schedules for deep neural networks combine a decaying trend with local perturbations that attempt to escape saddle points and bad local minima.
no code implementations • ICCV 2021 • Dawei Zhou, Nannan Wang, Chunlei Peng, Xinbo Gao, Xiaoyu Wang, Jun Yu, Tongliang Liu
Then, we train a denoising model to minimize the distances between the adversarial examples and the natural examples in the class activation feature space.
no code implementations • NeurIPS 2021 • Xiaoyu Wang, Sindri Magnússon, Mikael Johansson
The convergence of stochastic gradient descent is highly dependent on the step-size, especially on non-convex problems such as neural network training.
1 code implementation • 13 Feb 2021 • Alexander Camuto, Xiaoyu Wang, Lingjiong Zhu, Chris Holmes, Mert Gürbüzbalaban, Umut Şimşekli
In this paper we focus on the so-called `implicit effect' of GNIs, which is the effect of the injected noise on the dynamics of SGD.
no code implementations • 1 Jan 2021 • Chengchun Shi, Xiaoyu Wang, Shikai Luo, Rui Song, Hongtu Zhu, Jieping Ye
A/B testing, or online experiment is a standard business strategy to compare a new product with an old one in pharmaceutical, technological, and traditional industries.
no code implementations • 7 Dec 2020 • Xiaoyu Wang, Martin Benning
We present a generalisation of Rosenblatt's traditional perceptron learning algorithm to the class of proximal activation functions and demonstrate how this generalisation can be interpreted as an incremental gradient method applied to a novel energy function.
no code implementations • 3 Jul 2020 • Xinpeng Ding, Nannan Wang, Xinbo Gao, Jie Li, Xiaoyu Wang, Tongliang Liu
Specifically, we devise a partial segment loss regarded as a loss sampling to learn integral action parts from labeled segments.
Weakly-supervised Temporal Action Localization Weakly Supervised Temporal Action Localization
no code implementations • 30 Apr 2020 • Fei Tang, Wanling Gao, Jianfeng Zhan, Chuanxin Lan, Xu Wen, Lei Wang, Chunjie Luo, Jiahui Dai, Zheng Cao, Xingwang Xiong, Zihan Jiang, Tianshu Hao, Fanda Fan, Fan Zhang, Yunyou Huang, Jianan Chen, Mengjia Du, Rui Ren, Chen Zheng, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye
We use real-world benchmarks to cover the factors space that impacts the learning dynamics to the most considerable extent.
no code implementations • CVPR 2020 • Yingji Zhong, Xiaoyu Wang, Shiliang Zhang
This paper also contributes a Large-Scale dataset for Person Search in the wild (LSPS), which is by far the largest and the most challenging dataset for person search.
no code implementations • 6 Apr 2020 • Yuanhan Hu, Xiaoyu Wang, Xuefeng Gao, Mert Gurbuzbalaban, Lingjiong Zhu
In this paper, we study the non reversible Stochastic Gradient Langevin Dynamics (NSGLD) which is based on discretization of the non-reversible Langevin diffusion.
no code implementations • 17 Feb 2020 • Wanling Gao, Fei Tang, Jianfeng Zhan, Chuanxin Lan, Chunjie Luo, Lei Wang, Jiahui Dai, Zheng Cao, Xiongwang Xiong, Zihan Jiang, Tianshu Hao, Fanda Fan, Xu Wen, Fan Zhang, Yunyou Huang, Jianan Chen, Mengjia Du, Rui Ren, Chen Zheng, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Gang Lu, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye
An end-to-end benchmark is a distillation of the essential attributes of an industry-scale application.
1 code implementation • 5 Feb 2020 • Chengchun Shi, Xiaoyu Wang, Shikai Luo, Hongtu Zhu, Jieping Ye, Rui Song
A/B testing, or online experiment is a standard business strategy to compare a new product with an old one in pharmaceutical, technological, and traditional industries.
1 code implementation • ECCV 2020 • Qi Qi, Yan Yan, Xiaoyu Wang, Tianbao Yang
To tackle this issue, we propose a simple and effective framework to sample pairs in a batch of data for updating the model.
1 code implementation • 19 Nov 2019 • Xiaoyu Wang, Ye Deng, Jinjun Wang
Recently the Generative Adversarial Network has become a hot topic.
no code implementations • ICML 2020 • Yan Yan, Yi Xu, Lijun Zhang, Xiaoyu Wang, Tianbao Yang
In this paper, we study a family of non-convex and possibly non-smooth inf-projection minimization problems, where the target objective function is equal to minimization of a joint function over another variable.
no code implementations • 13 Aug 2019 • Wanling Gao, Fei Tang, Lei Wang, Jianfeng Zhan, Chunxin Lan, Chunjie Luo, Yunyou Huang, Chen Zheng, Jiahui Dai, Zheng Cao, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Tong Wu, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye
On the basis of the AIBench framework, abstracting the real-world data sets and workloads from one of the top e-commerce providers, we design and implement the first end-to-end Internet service AI benchmark, which contains the primary modules in the critical paths of an industry scale application and is scalable to deploy on different cluster scales.
no code implementations • 28 May 2019 • Zhengguang Zhou, Wengang Zhou, Xutao Lv, Xuan Huang, Xiaoyu Wang, Houqiang Li
Recent years have witnessed the great advance of deep learning in a variety of vision tasks.
no code implementations • 25 Feb 2019 • Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, Xiaoyu Wang
In this paper, we propose a novel framework for the citywide traffic volume inference using both dense GPS trajectories and incomplete trajectories captured by camera surveillance systems.
no code implementations • NeurIPS 2018 • Mingrui Liu, Zhe Li, Xiaoyu Wang, Jin-Feng Yi, Tianbao Yang
Negative curvature descent (NCD) method has been utilized to design deterministic or stochastic algorithms for non-convex optimization aiming at finding second-order stationary points or local minima.
no code implementations • 28 Nov 2018 • Hongyu Xu, Xutao Lv, Xiaoyu Wang, Zhou Ren, Navaneeth Bodla, Rama Chellappa
The deep regionlets framework consists of a region selection network and a deep regionlet learning module.
no code implementations • 2 Nov 2018 • Xiaoyu Wang, Cailian Chen, Yang Min, Jianping He, Bo Yang, Yang Zhang
Traffic prediction is a fundamental and vital task in Intelligence Transportation System (ITS), but it is very challenging to get high accuracy while containing low computational complexity due to the spatiotemporal characteristics of traffic flow, especially under the metropolitan circumstances.
no code implementations • ICML 2018 • Mingrui Liu, Xiaoxuan Zhang, Zaiyi Chen, Xiaoyu Wang, Tianbao Yang
In this paper, we consider statistical learning with AUC (area under ROC curve) maximization in the classical stochastic setting where one random data drawn from an unknown distribution is revealed at each iteration for updating the model.
no code implementations • 3 Jun 2018 • Zhe Li, Xuehan Xiong, Zhou Ren, Ning Zhang, Xiaoyu Wang, Tianbao Yang
In this paper, we study how to design a genetic programming approach for optimizing the structure of a CNN for a given task under limited computational resources yet without imposing strong restrictions on the search space.
no code implementations • 17 Jan 2018 • Xi Peng, Rogerio S. Feris, Xiaoyu Wang, Dimitris N. Metaxas
We propose a novel method for real-time face alignment in videos based on a recurrent encoder-decoder network model.
no code implementations • ECCV 2018 • Hongyu Xu, Xutao Lv, Xiaoyu Wang, Zhou Ren, Navaneeth Bodla, Rama Chellappa
The deep regionlets framework consists of a region selection network and a deep regionlet learning module.
no code implementations • 13 Jun 2017 • Zhe Li, Xiaoyu Wang, Xutao Lv, Tianbao Yang
By doing this, we show that previous deep CNNs such as GoogLeNet and Inception-type Nets can be compressed dramatically with marginal drop in performance.
no code implementations • CVPR 2017 • Zhou Ren, Xiaoyu Wang, Ning Zhang, Xutao Lv, Li-Jia Li
The policy network serves as a local guidance by providing the confidence of predicting the next word according to the current state.
no code implementations • 19 Aug 2016 • Xi Peng, Rogerio S. Feris, Xiaoyu Wang, Dimitris N. Metaxas
We propose a novel recurrent encoder-decoder network model for real-time video-based face alignment.
no code implementations • CVPR 2015 • Saining Xie, Tianbao Yang, Xiaoyu Wang, Yuanqing Lin
We demonstrate the success of the proposed framework on two small-scale fine-grained datasets (Stanford Dogs and Stanford Cars) and on a large-scale car dataset that we collected.
no code implementations • 10 Dec 2014 • Xiaoyu Wang, Tianbao Yang, Guobin Chen, Yuanqing Lin
In contrast, this paper proposes an \emph{object-centric sampling} (OCS) scheme that samples image windows based on the object location information.
no code implementations • 16 Apr 2014 • Will Y. Zou, Xiaoyu Wang, Miao Sun, Yuanqing Lin
This paper addresses the challenge of establishing a bridge between deep convolutional neural networks and conventional object detection frameworks for accurate and efficient generic object detection.