Search Results for author: Jie Hu

Found 49 papers, 19 papers with code

You Only Segment Once: Towards Real-Time Panoptic Segmentation

1 code implementation26 Mar 2023 Jie Hu, Linyan Huang, Tianhe Ren, Shengchuan Zhang, Rongrong Ji, Liujuan Cao

To reduce the computational overhead, we design a feature pyramid aggregator for the feature map extraction, and a separable dynamic decoder for the panoptic kernel generation.

Panoptic Segmentation

Bag of Tricks with Quantized Convolutional Neural Networks for image classification

no code implementations13 Mar 2023 Jie Hu, Mengze Zeng, Enhua Wu

To bridge this gap, we collect and improve existing quantization methods and propose a gold guideline for post-training quantization.

Image Classification Quantization

DistilPose: Tokenized Pose Regression with Heatmap Distillation

1 code implementation4 Mar 2023 Suhang Ye, Yingyi Zhang, Jie Hu, Liujuan Cao, Shengchuan Zhang, Lei Shen, Jun Wang, Shouhong Ding, Rongrong Ji

Specifically, DistilPose maximizes the transfer of knowledge from the teacher model (heatmap-based) to the student model (regression-based) through Token-distilling Encoder (TDE) and Simulated Heatmaps.

Knowledge Distillation Pose Estimation +1

Orthogonal-Time-Frequency-Space Signal Design for Integrated Data and Energy Transfer: Benefits from Doppler Offsets

no code implementations3 Feb 2023 Jie Hu, Ke Xu, Luping Xiang, Kun Yang

Integrated data and energy transfer (IDET) is an advanced technology for enabling energy sustainability for massively deployed low-power electronic consumption components.

DCS-RISR: Dynamic Channel Splitting for Efficient Real-world Image Super-Resolution

no code implementations15 Dec 2022 Junbo Qiao, Shaohui Lin, Yunlun Zhang, Wei Li, Jie Hu, Gaoqi He, Changbo Wang, Lizhuang Ma

Real-world image super-resolution (RISR) has received increased focus for improving the quality of SR images under unknown complex degradation.

Image Super-Resolution SSIM

SISO-OFDM and MISO-OFDM Counterparts for "Wideband Waveforming for Integrated Data and Energy Transfer: Creating Extra Gain Beyond Multiple Antennas and Multiple Carriers"

no code implementations8 Dec 2022 Zhonglun Wang, Jie Hu, Kun Yang

In this article, we proposethe SISO-OFDM and MISO-OFDM based IDET systems, which are the counterparts of our optimal wideband waveforming strategy in [1].

Prediction of superconducting properties of materials based on machine learning models

no code implementations6 Nov 2022 Jie Hu, Yongquan Jiang, Yang Yan, Houchen Zuo

Based on this, this manuscript proposes the use of XGBoost model to identify superconductors; the first application of deep forest model to predict the critical temperature of superconductors; the first application of deep forest to predict the band gap of materials; and application of a new sub-network model to predict the Fermi energy level of materials.

Band Gap

Rethinking skip connection model as a learnable Markov chain

1 code implementation30 Sep 2022 Dengsheng Chen, Jie Hu, Wenwen Qiang, Xiaoming Wei, Enhua Wu

In this work, we deep dive into the model's behaviors with skip connections which can be formulated as a learnable Markov chain.

Bi-SIS Epidemics on Graphs -- Quantitative Analysis of Coexistence Equilibria

no code implementations15 Sep 2022 Vishwaraj Doshi, Jie Hu, Do Young Eun

We consider a system in which two viruses of the Susceptible-Infected-Susceptible (SIS) type compete over general, overlaid graphs.

Efficiency Ordering of Stochastic Gradient Descent

no code implementations15 Sep 2022 Jie Hu, Vishwaraj Doshi, Do Young Eun

We consider the stochastic gradient descent (SGD) algorithm driven by a general stochastic sequence, including i. i. d noise and random walk on an arbitrary graph, among others; and analyze it in the asymptotic sense.

Stochastic Optimization

Deep Machine Learning Reconstructing Lattice Topology with Strong Thermal Fluctuations

no code implementations8 Aug 2022 Xiao-Han Wang, Pei Shi, Bin Xi, Jie Hu, Shi-Ju Ran

In this work, we demonstrate the validity of the deep convolutional neural network (CNN) on reconstructing the lattice topology (i. e., spin connectivities) in the presence of strong thermal fluctuations and unbalanced data.

DRAformer: Differentially Reconstructed Attention Transformer for Time-Series Forecasting

no code implementations11 Jun 2022 Benhan Li, Shengdong Du, Tianrui Li, Jie Hu, Zhen Jia

Time-series forecasting plays an important role in many real-world scenarios, such as equipment life cycle forecasting, weather forecasting, and traffic flow forecasting.

Time Series Forecasting Weather Forecasting

Nearest Neighbor Classifier with Margin Penalty for Active Learning

1 code implementation17 Mar 2022 Yuan Cao, Zhiqiao Gao, Jie Hu, MingChuan Yang, Jinpeng Chen

As a result, informative samples in the margin area can not be discovered and AL performance are damaged.

Active Learning

Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting

no code implementations25 Feb 2022 Jiabin Tang, Tang Qian, Shijing Liu, Shengdong Du, Jie Hu, Tianrui Li

Accurate traffic forecasting, the foundation of intelligent transportation systems (ITS), has never been more significant than nowadays due to the prosperity of smart cities and urban computing.

Benchmarking Graph structure learning

Elastic-Link for Binarized Neural Network

no code implementations19 Dec 2021 Jie Hu, Ziheng Wu, Vince Tan, Zhilin Lu, Mengze Zeng, Enhua Wu

For example, we raise the top-1 accuracy of binarized ResNet26 from 57. 9% to 64. 0%.


Patent Data for Engineering Design: A Critical Review and Future Directions

no code implementations15 Nov 2021 Shuo Jiang, Serhad Sarica, Binyang Song, Jie Hu, Jianxi Luo

Patent data have long been used for engineering design research because of its large and expanding size, and widely varying massive amount of design information contained in patents.

GIR Framework: Learning Graph Positional Embeddings with Anchor Indication and Path Encoding

no code implementations29 Sep 2021 Yuheng Lu, Jinpeng Chen, Chuxiong Sun, Jie Hu

In this work, we propose a novel framework which follows the anchor-based idea and aims at conveying distance information implicitly along the MPNN message passing steps for encoding position information, node attributes, and graph structure in a more flexible way.

Domain-Invariant Representation Learning with Global and Local Consistency

no code implementations29 Sep 2021 Wenwen Qiang, Jiangmeng Li, Jie Hu, Bing Su, Changwen Zheng, Hui Xiong

In this paper, we give an analysis of the existing representation learning framework of unsupervised domain adaptation and show that the learned feature representations of the source domain samples are with discriminability, compressibility, and transferability.

Representation Learning Unsupervised Domain Adaptation

LODE: Deep Local Deblurring and A New Benchmark

1 code implementation19 Sep 2021 Zerun Wang, Liuyu Xiang, Fan Yang, Jinzhao Qian, Jie Hu, Haidong Huang, Jungong Han, Yuchen Guo, Guiguang Ding

While recent deep deblurring algorithms have achieved remarkable progress, most existing methods focus on the global deblurring problem, where the image blur mostly arises from severe camera shake.


OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework

1 code implementation16 Sep 2021 Dengsheng Chen, Vince Tan, Zhilin Lu, Jie Hu

Federated Learning alleviates these problems by decentralizing model training, thereby removing the need for data transfer and aggregation.

Federated Learning

Information Theory-Guided Heuristic Progressive Multi-View Coding

no code implementations6 Sep 2021 Jiangmeng Li, Wenwen Qiang, Hang Gao, Bing Su, Farid Razzak, Jie Hu, Changwen Zheng, Hui Xiong

To this end, we rethink the existing multi-view learning paradigm from the information theoretical perspective and then propose a novel information theoretical framework for generalized multi-view learning.

Contrastive Learning MULTI-VIEW LEARNING +1

Unifying Nonlocal Blocks for Neural Networks

1 code implementation ICCV 2021 Lei Zhu, Qi She, Duo Li, Yanye Lu, Xuejing Kang, Jie Hu, Changhu Wang

The nonlocal-based blocks are designed for capturing long-range spatial-temporal dependencies in computer vision tasks.

Action Recognition Image Classification +2

Deep Learning for Technical Document Classification

no code implementations27 Jun 2021 Shuo Jiang, Jie Hu, Christopher L. Magee, Jianxi Luo

In large technology companies, the requirements for managing and organizing technical documents created by engineers and managers have increased dramatically in recent years, which has led to a higher demand for more scalable, accurate, and automated document classification.

Decision Making Document Classification +2

Predicting Quantum Potentials by Deep Neural Network and Metropolis Sampling

no code implementations6 Jun 2021 Rui Hong, Peng-Fei Zhou, Bin Xi, Jie Hu, An-Chun Ji, Shi-Ju Ran

The hybridizations of machine learning and quantum physics have caused essential impacts to the methodology in both fields.


Data-Driven Design-by-Analogy: State of the Art and Future Directions

no code implementations3 Jun 2021 Shuo Jiang, Jie Hu, Kristin L. Wood, Jianxi Luo

Design-by-Analogy (DbA) is a design methodology wherein new solutions, opportunities or designs are generated in a target domain based on inspiration drawn from a source domain; it can benefit designers in mitigating design fixation and improving design ideation outcomes.


Graph Inference Representation: Learning Graph Positional Embeddings with Anchor Path Encoding

no code implementations9 May 2021 Yuheng Lu, Jinpeng Chen, Chuxiong Sun, Jie Hu

We show that GIRs get outperformed results in position-aware scenarios, and performances on typical GNNs could be improved by fusing GIR embeddings.

Representation Learning

ISTR: End-to-End Instance Segmentation with Transformers

1 code implementation3 May 2021 Jie Hu, Liujuan Cao, Yao Lu, Shengchuan Zhang, Yan Wang, Ke Li, Feiyue Huang, Ling Shao, Rongrong Ji

However, such an upgrade is not applicable to instance segmentation, due to its significantly higher output dimensions compared to object detection.

Instance Segmentation object-detection +2

Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training

1 code implementation19 Apr 2021 Chuxiong Sun, Hongming Gu, Jie Hu

To further improve scalable models on semi-supervised learning tasks, we propose Self-Label-Enhance (SLE) framework combining self-training approach and label propagation in depth.

Node Property Prediction

Learning the Superpixel in a Non-iterative and Lifelong Manner

1 code implementation CVPR 2021 Lei Zhu, Qi She, Bin Zhang, Yanye Lu, Zhilin Lu, Duo Li, Jie Hu

Superpixel is generated by automatically clustering pixels in an image into hundreds of compact partitions, which is widely used to perceive the object contours for its excellent contour adherence.

Image-to-image Translation via Hierarchical Style Disentanglement

1 code implementation CVPR 2021 Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji

Recently, image-to-image translation has made significant progress in achieving both multi-label (\ie, translation conditioned on different labels) and multi-style (\ie, generation with diverse styles) tasks.

Disentanglement Multimodal Unsupervised Image-To-Image Translation +1

Adaptive Graph Diffusion Networks

1 code implementation30 Dec 2020 Chuxiong Sun, Jie Hu, Hongming Gu, Jinpeng Chen, MingChuan Yang

Until the date of submission (Aug 26, 2022), AGDNs achieve top-1 performance on the ogbn-arxiv, ogbn-proteins and ogbl-ddi datasets and top-3 performance on the ogbl-citation2 dataset.

Link Prediction Node Classification +1

A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics and Benchmark Datasets

no code implementations21 Jun 2020 Changchang Zeng, Shaobo Li, Qin Li, Jie Hu, Jianjun Hu

Machine Reading Comprehension (MRC) is a challenging Natural Language Processing(NLP) research field with wide real-world applications.

Machine Reading Comprehension

Robust Motion Averaging under Maximum Correntropy Criterion

no code implementations21 Apr 2020 Jihua Zhu, Jie Hu, Huimin Lu, Badong Chen, Zhongyu Li

Recently, the motion averaging method has been introduced as an effective means to solve the multi-view registration problem.

Architecture Disentanglement for Deep Neural Networks

1 code implementation ICCV 2021 Jie Hu, Liujuan Cao, Qixiang Ye, Tong Tong, Shengchuan Zhang, Ke Li, Feiyue Huang, Rongrong Ji, Ling Shao

Based on the experimental results, we present three new findings that provide fresh insights into the inner logic of DNNs.

AutoML Disentanglement

Attribute Guided Unpaired Image-to-Image Translation with Semi-supervised Learning

1 code implementation29 Apr 2019 Xinyang Li, Jie Hu, Shengchuan Zhang, Xiaopeng Hong, Qixiang Ye, Chenglin Wu, Rongrong Ji

Especially, AGUIT benefits from two-fold: (1) It adopts a novel semi-supervised learning process by translating attributes of labeled data to unlabeled data, and then reconstructing the unlabeled data by a cycle consistency operation.

Disentanglement Image-to-Image Translation +1

Towards Visual Feature Translation

1 code implementation CVPR 2019 Jie Hu, Rongrong Ji, Hong Liu, Shengchuan Zhang, Cheng Deng, Qi Tian

In this paper, we make the first attempt towards visual feature translation to break through the barrier of using features across different visual search systems.


Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks

7 code implementations NeurIPS 2018 Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Andrea Vedaldi

We also propose a parametric gather-excite operator pair which yields further performance gains, relate it to the recently-introduced Squeeze-and-Excitation Networks, and analyse the effects of these changes to the CNN feature activation statistics.

An In-field Automatic Wheat Disease Diagnosis System

no code implementations26 Sep 2017 Jiang Lu, Jie Hu, Guannan Zhao, Fenghua Mei, Chang-Shui Zhang

Crop diseases are responsible for the major production reduction and economic losses in agricultural industry world- wide.

Management Multiple Instance Learning

Squeeze-and-Excitation Networks

72 code implementations CVPR 2018 Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Enhua Wu

Squeeze-and-Excitation Networks formed the foundation of our ILSVRC 2017 classification submission which won first place and reduced the top-5 error to 2. 251%, surpassing the winning entry of 2016 by a relative improvement of ~25%.

Image Classification

A DNN Framework For Text Image Rectification From Planar Transformations

no code implementations14 Nov 2016 Chengzhe Yan, Jie Hu, Chang-Shui Zhang

In this paper, a novel neural network architecture is proposed attempting to rectify text images with mild assumptions.

Cannot find the paper you are looking for? You can Submit a new open access paper.