Search Results for author: Jun Hou

Found 21 papers, 9 papers with code

Generation of Virtual Dual Energy Images from Standard Single-Shot Radiographs using Multi-scale and Conditional Adversarial Network

1 code implementation22 Oct 2018 Bo Zhou, Xunyu Lin, Brendan Eck, Jun Hou, David L. Wilson

Dual-energy (DE) chest radiographs provide greater diagnostic information than standard radiographs by separating the image into bone and soft tissue, revealing suspicious lesions which may otherwise be obstructed from view.

GTC: Guided Training of CTC Towards Efficient and Accurate Scene Text Recognition

no code implementations4 Feb 2020 Wenyang Hu, Xiaocong Cai, Jun Hou, Shuai Yi, Zhiping Lin

Extensive experiments on standard benchmarks demonstrate that our end-to-end model achieves a new state-of-the-art for regular and irregular scene text recognition and needs 6 times shorter inference time than attentionbased methods.

Scene Text Recognition

A Non-Intrusive Correction Algorithm for Classification Problems with Corrupted Data

no code implementations11 Feb 2020 Jun Hou, Tong Qin, Kailiang Wu, Dongbin Xiu

A novel correction algorithm is proposed for multi-class classification problems with corrupted training data.

Classification General Classification +2

Learning Time Reduction Using Warm Start Methods for a Reinforcement Learning Based Supervisory Control in Hybrid Electric Vehicle Applications

no code implementations27 Oct 2020 Bin Xu, Jun Hou, Junzhe Shi, Huayi Li, Dhruvang Rathod, Zhe Wang, Zoran Filipi

This study aims to reduce the learning iterations of Q-learning in HEV application and improve fuel consumption in initial learning phases utilizing warm start methods.

Q-Learning Reinforcement Learning (RL)

Video Crowd Localization with Multi-focus Gaussian Neighborhood Attention and a Large-Scale Benchmark

1 code implementation19 Jul 2021 Haopeng Li, Lingbo Liu, Kunlin Yang, Shinan Liu, Junyu Gao, Bin Zhao, Rui Zhang, Jun Hou

Video crowd localization is a crucial yet challenging task, which aims to estimate exact locations of human heads in the given crowded videos.

GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer

1 code implementation ICCV 2021 Shuaicheng Li, Qianggang Cao, Lingbo Liu, Kunlin Yang, Shinan Liu, Jun Hou, Shuai Yi

It captures spatial-temporal contextual information jointly to augment the individual and group representations effectively with a clustered spatial-temporal transformer.

Group Activity Recognition

Understanding CNNs from excitations

no code implementations2 May 2022 Zijian Ying, Qianmu Li, Zhichao Lian, Jun Hou, Tong Lin, Tao Wang

To organize these excitations into final saliency maps, we introduce a double-chain backpropagation procedure.

Binary Classification

Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation

1 code implementation13 Jun 2022 Zengyu Qiu, Xinzhu Ma, Kunlin Yang, Chunya Liu, Jun Hou, Shuai Yi, Wanli Ouyang

Besides, our DPK makes the performance of the student model positively correlated with that of the teacher model, which means that we can further boost the accuracy of students by applying larger teachers.

Image Classification Knowledge Distillation +3

Pyramid Region-based Slot Attention Network for Temporal Action Proposal Generation

1 code implementation21 Jun 2022 Shuaicheng Li, Feng Zhang, Rui-Wei Zhao, Rui Feng, Kunlin Yang, Lingbo Liu, Jun Hou

Based on PRSlot modules, we present a novel Pyramid Region-based Slot Attention Network termed PRSA-Net to learn a unified visual representation with rich temporal and semantic context for better proposal generation.

Action Detection Temporal Action Proposal Generation

StyleFlow For Content-Fixed Image to Image Translation

1 code implementation5 Jul 2022 Weichen Fan, Jinghuan Chen, Jiabin Ma, Jun Hou, Shuai Yi

We evaluate our model in several I2I translation benchmarks, and the results show that the proposed model has advantages over previous methods in both strongly constrained and normally constrained tasks.

Colorization Image-to-Image Translation +2

FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising

1 code implementation2 Apr 2023 Bo Zhou, Huidong Xie, Qiong Liu, Xiongchao Chen, Xueqi Guo, Zhicheng Feng, Jun Hou, S. Kevin Zhou, Biao Li, Axel Rominger, Kuangyu Shi, James S. Duncan, Chi Liu

While previous federated learning (FL) algorithms enable multi-institution collaborative training without the need of aggregating local data, addressing the large domain shift in the application of multi-institutional low-count PET denoising remains a challenge and is still highly under-explored.

Denoising Personalized Federated Learning

DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning

no code implementations11 Mar 2024 Sikai Bai, Jie Zhang, Shuaicheng Li, Song Guo, Jingcai Guo, Jun Hou, Tao Han, Xiaocheng Lu

Federated learning (FL) has emerged as a powerful paradigm for learning from decentralized data, and federated domain generalization further considers the test dataset (target domain) is absent from the decentralized training data (source domains).

Domain Generalization Federated Learning +1

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