Search Results for author: Ming Tang

Found 38 papers, 9 papers with code

Large Batch Optimization for Object Detection: Training COCO in 12 Minutes

no code implementations ECCV 2020 Tong Wang, Yousong Zhu, Chaoyang Zhao, Wei Zeng, Yao-Wei Wang, Jinqiao Wang, Ming Tang

Most of existing object detectors usually adopt a small training batch size ( ~16), which severely hinders the whole community from exploring large-scale datasets due to the extremely long training procedure.

object-detection Object Detection

Blended Grammar Network for Human Parsing

no code implementations ECCV 2020 Xiaomei Zhang, Yingying Chen, Bingke Zhu, Jinqiao Wang, Ming Tang

Although human parsing has made great progress, it still faces a challenge, i. e., how to extract the whole foreground from similar or cluttered scenes effectively.

Human Parsing

Efficient Masked Autoencoders with Self-Consistency

no code implementations28 Feb 2023 Zhaowen Li, Yousong Zhu, Zhiyang Chen, Wei Li, Chaoyang Zhao, Liwei Wu, Rui Zhao, Ming Tang, Jinqiao Wang

However, its high random mask ratio would result in two serious problems: 1) the data are not efficiently exploited, which brings inefficient pre-training (\eg, 1600 epochs for MAE $vs.$ 300 epochs for the supervised), and 2) the high uncertainty and inconsistency of the pre-trained model, \ie, the prediction of the same patch may be inconsistent under different mask rounds.

Language Modelling Masked Language Modeling +3

Deep Learning for Human Parsing: A Survey

no code implementations29 Jan 2023 Xiaomei Zhang, Xiangyu Zhu, Ming Tang, Zhen Lei

Human parsing is a key topic in image processing with many applications, such as surveillance analysis, human-robot interaction, person search, and clothing category classification, among many others.

Human Parsing Person Search

Design of the PID temperature controller for an alkaline electrolysis system with time delays

no code implementations3 Oct 2022 Ruomei Qi, Jiarong Li, Jin Lin, Yonghua Song, Jiepeng Wang, Qiangqiang Cui, Yiwei Qiu, Ming Tang, Jian Wang

This paper focuses on the design of the PID temperature controller for an alkaline electrolysis system to achieve fast and stable temperature control.

Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks

1 code implementation28 Sep 2022 Zhiyang Chen, Yousong Zhu, Zhaowen Li, Fan Yang, Wei Li, Haixin Wang, Chaoyang Zhao, Liwei Wu, Rui Zhao, Jinqiao Wang, Ming Tang

Obj2Seq is able to flexibly determine input categories to satisfy customized requirements, and be easily extended to different visual tasks.

Multi-Label Classification Object Detection +1

Transfering Low-Frequency Features for Domain Adaptation

no code implementations31 Aug 2022 Zhaowen Li, Xu Zhao, Chaoyang Zhao, Ming Tang, Jinqiao Wang

Previous unsupervised domain adaptation methods did not handle the cross-domain problem from the perspective of frequency for computer vision.

Image Classification object-detection +2

Plug-and-Play Pseudo Label Correction Network for Unsupervised Person Re-identification

no code implementations14 Jun 2022 Tianyi Yan, Kuan Zhu, Haiyun Guo, Guibo Zhu, Ming Tang, Jinqiao Wang

Clustering-based methods, which alternate between the generation of pseudo labels and the optimization of the feature extraction network, play a dominant role in both unsupervised learning (USL) and unsupervised domain adaptive (UDA) person re-identification (Re-ID).

Pseudo Label Unsupervised Person Re-Identification

Beyond the Limitation of Pulse Width in Optical Time-domain Reflectometry

no code implementations14 Mar 2022 Hao Wu, Ming Tang

Here, we propose and experimentally demonstrate an OTDR deconvolution neural network based on deep convolutional neural networks.

UniVIP: A Unified Framework for Self-Supervised Visual Pre-training

no code implementations CVPR 2022 Zhaowen Li, Yousong Zhu, Fan Yang, Wei Li, Chaoyang Zhao, Yingying Chen, Zhiyang Chen, Jiahao Xie, Liwei Wu, Rui Zhao, Ming Tang, Jinqiao Wang

Furthermore, our method can also exploit single-centric-object dataset such as ImageNet and outperforms BYOL by 2. 5% with the same pre-training epochs in linear probing, and surpass current self-supervised object detection methods on COCO dataset, demonstrating its universality and potential.

Image Classification object-detection +3

Thermal Modelling and Controller Design of an Alkaline Electrolysis System under Dynamic Operating Conditions

no code implementations27 Feb 2022 Ruomei Qi, Jiarong Li, Jin Lin, Yonghua Song, Jiepeng Wang, Qiangqiang Cui, Yiwei Qiu, Ming Tang, Jian Wang

A control-oriented thermal model is established in the form of a third-order time-delay process, which is used for simulation and controller design.

Management

Pruning-aware Sparse Regularization for Network Pruning

1 code implementation18 Jan 2022 Nanfei Jiang, Xu Zhao, Chaoyang Zhao, Yongqi An, Ming Tang, Jinqiao Wang

MaskSparsity imposes the fine-grained sparse regularization on the specific filters selected by a pruning mask, rather than all the filters of the model.

Network Pruning

Enabling variable high spatial resolution retrieval from a long pulse BOTDA sensor

no code implementations9 Sep 2021 Zhao Ge, Li Shen, Can Zhao, Hao Wu, Zhiyong Zhao, Ming Tang

We propose a convolutional neural network (CNN) to process the data of conventional Brillouin optical time domain analysis (BOTDA) sensors, which achieves unprecedented performance improvement that allows to directly retrieve higher spatial resolution (SR) from the sensing system that use long pump pulses.

Retrieval

DPT: Deformable Patch-based Transformer for Visual Recognition

1 code implementation30 Jul 2021 Zhiyang Chen, Yousong Zhu, Chaoyang Zhao, Guosheng Hu, Wei Zeng, Jinqiao Wang, Ming Tang

To address this problem, we propose a new Deformable Patch (DePatch) module which learns to adaptively split the images into patches with different positions and scales in a data-driven way rather than using predefined fixed patches.

Image Classification object-detection +2

Improving Multiple Object Tracking With Single Object Tracking

no code implementations CVPR 2021 Linyu Zheng, Ming Tang, Yingying Chen, Guibo Zhu, Jinqiao Wang, Hanqing Lu

Despite considerable similarities between multiple object tracking (MOT) and single object tracking (SOT) tasks, modern MOT methods have not benefited from the development of SOT ones to achieve satisfactory performance.

Multiple Object Tracking object-detection +1

MST: Masked Self-Supervised Transformer for Visual Representation

no code implementations NeurIPS 2021 Zhaowen Li, Zhiyang Chen, Fan Yang, Wei Li, Yousong Zhu, Chaoyang Zhao, Rui Deng, Liwei Wu, Rui Zhao, Ming Tang, Jinqiao Wang

More importantly, the masked tokens together with the remaining tokens are further recovered by a global image decoder, which preserves the spatial information of the image and is more friendly to the downstream dense prediction tasks.

Language Modelling Masked Language Modeling +3

Adaptive Class Suppression Loss for Long-Tail Object Detection

1 code implementation CVPR 2021 Tong Wang, Yousong Zhu, Chaoyang Zhao, Wei Zeng, Jinqiao Wang, Ming Tang

To address the problem of long-tail distribution for the large vocabulary object detection task, existing methods usually divide the whole categories into several groups and treat each group with different strategies.

object-detection Object Detection

AAformer: Auto-Aligned Transformer for Person Re-Identification

no code implementations2 Apr 2021 Kuan Zhu, Haiyun Guo, Shiliang Zhang, YaoWei Wang, Gaopan Huang, Honglin Qiao, Jing Liu, Jinqiao Wang, Ming Tang

In this paper, we introduce an alignment scheme in Transformer architecture for the first time and propose the Auto-Aligned Transformer (AAformer) to automatically locate both the human parts and non-human ones at patch-level.

Human Parsing Image Classification +3

Identify Influential Spreaders in Asymmetrically Interacting Multiplex Networks

no code implementations5 Jan 2021 Qi Zeng, Ying Liu, Liming Pan, Ming Tang

Our work provides insights on the importance of nodes in the multiplex network and gives a feasible framework to investigate influential spreaders in the asymmetrically coevolving dynamics.

Physics and Society

High-Performance Discriminative Tracking With Transformers

no code implementations ICCV 2021 Bin Yu, Ming Tang, Linyu Zheng, Guibo Zhu, Jinqiao Wang, Hao Feng, Xuetao Feng, Hanqing Lu

End-to-end discriminative trackers improve the state of the art significantly, yet the improvement in robustness and efficiency is restricted by the conventional discriminative model, i. e., least-squares based regression.

Visual Tracking

Task Decoupled Knowledge Distillation For Lightweight Face Detectors

1 code implementation14 Oct 2020 Xiaoqing Liang, Xu Zhao, Chaoyang Zhao, Nanfei Jiang, Ming Tang, Jinqiao Wang

This method decouples the distillation task of face detection into two subtasks, i. e., the classification distillation subtask and the regression distillation subtask.

Face Detection Knowledge Distillation +1

Improving the spatial resolution of a BOTDA sensor using deconvolution algorithm

no code implementations15 Sep 2020 Li Shen, Zhiyong Zhao, Can Zhao, Hao Wu, Chao Lu, Ming Tang

The frequency dependency of Brillouin gain temporal envelope is investigated by simulation, and its impact on the recovered results of deconvolution algorithm is thoroughly analyzed.

Denoising

Identity-Guided Human Semantic Parsing for Person Re-Identification

1 code implementation ECCV 2020 Kuan Zhu, Haiyun Guo, Zhiwei Liu, Ming Tang, Jinqiao Wang

In this paper, we propose the identity-guided human semantic parsing approach (ISP) to locate both the human body parts and personal belongings at pixel-level for aligned person re-ID only with person identity labels.

Human Parsing Person Re-Identification +2

A Quantitative Analytical Model for Predicting and Optimizing the Rate Performance of Battery Cells

1 code implementation20 Apr 2020 Fan Wang, Ming Tang

An important objective of designing lithium-ion rechargeable battery cells is to maximize their rate performance without compromising the energy density, which is mainly achieved through computationally expensive numerical simulations at present.

Materials Science Applied Physics

Repositioning Bikes with Carrier Vehicles and Bike Trailers in Bike Sharing Systems

no code implementations20 Sep 2019 Xinghua Zheng, Ming Tang, Hankz Hankui Zhuo, Kevin X. Wen

Bike Sharing Systems (BSSs) have been adopted in many major cities of the world due to traffic congestion and carbon emissions.

Learning Feature Embeddings for Discriminant Model based Tracking

no code implementations ECCV 2020 Linyu Zheng, Ming Tang, Yingying Chen, Jinqiao Wang, Hanqing Lu

After observing that the features used in most online discriminatively trained trackers are not optimal, in this paper, we propose a novel and effective architecture to learn optimal feature embeddings for online discriminative tracking.

Visual Tracking

High-speed Tracking with Multi-kernel Correlation Filters

no code implementations CVPR 2018 Ming Tang, Bin Yu, Fan Zhang, Jinqiao Wang

In this paper, we will introduce the MKL into KCF in a different way than MKCF.

Fast Kernelized Correlation Filters without Boundary Effect

no code implementations17 Jun 2018 Ming Tang, Linyu Zheng, Bin Yu, Jinqiao Wang

To achieve the fast training and detection, a set of cyclic bases is introduced to construct the filter.

Visual Tracking

PCN: Part and Context Information for Pedestrian Detection with CNNs

no code implementations12 Apr 2018 Shiguang Wang, Jian Cheng, Haijun Liu, Ming Tang

To take advantage of the body parts and context information for pedestrian detection, we propose the part and context network (PCN) in this work.

Occlusion Handling Pedestrian Detection

On the Relations of Correlation Filter Based Trackers and Struck

no code implementations25 Nov 2017 Jinqiao Wang, Ming Tang, Linyu Zheng, Jiayi Feng

In recent years, two types of trackers, namely correlation filter based tracker (CF tracker) and structured output tracker (Struck), have exhibited the state-of-the-art performance.

Fast Deep Matting for Portrait Animation on Mobile Phone

1 code implementation26 Jul 2017 Bingke Zhu, Yingying Chen, Jinqiao Wang, Si Liu, Bo Zhang, Ming Tang

Finally, an automatic portrait animation system based on fast deep matting is built on mobile devices, which does not need any interaction and can realize real-time matting with 15 fps.

Image Matting Video Editing

Joint Background Reconstruction and Foreground Segmentation via A Two-stage Convolutional Neural Network

no code implementations24 Jul 2017 Xu Zhao, Yingying Chen, Ming Tang, Jinqiao Wang

In the first stage, a convolutional encoder-decoder sub-network is employed to reconstruct the background images and encode rich prior knowledge of background scenes.

Multi-Kernel Correlation Filter for Visual Tracking

no code implementations ICCV 2015 Ming Tang, Jiayi Feng

In this paper, we will derive a multi-kernel correlation filter (MKCF) based tracker which fully takes advantage of the invariance-discriminative power spectrums of various features to further improve the performance.

Visual Tracking

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