Search Results for author: Jiawei Liu

Found 27 papers, 14 papers with code

Semi-supervised Salient Object Detection with Effective Confidence Estimation

no code implementations28 Dec 2021 Jiawei Liu, Jing Zhang, Nick Barnes

The success of existing salient object detection models relies on a large pixel-wise labeled training dataset.

Object Detection Salient Object Detection

Calibrated Feature Decomposition for Generalizable Person Re-Identification

1 code implementation27 Nov 2021 Kecheng Zheng, Jiawei Liu, Wei Wu, Liang Li, Zheng-Jun Zha

The calibrated person representation is subtly decomposed into the identity-relevant feature, domain feature, and the remaining entangled one.

Domain Generalization Generalizable Person Re-identification

Enhanced countering adversarial attacks via input denoising and feature restoring

1 code implementation19 Nov 2021 Yanni Li, Wenhui Zhang, Jiawei Liu, Xiaoli Kou, Hui Li, Jiangtao Cui

Despite the fact that deep neural networks (DNNs) have achieved prominent performance in various applications, it is well known that DNNs are vulnerable to adversarial examples/samples (AEs) with imperceptible perturbations in clean/original samples.

Adversarial Attack Denoising

A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction Analysis

1 code implementation EMNLP 2021 Jiawei Liu, Kaisong Song, Yangyang Kang, Guoxiu He, Zhuoren Jiang, Changlong Sun, Wei Lu, Xiaozhong Liu

Chatbot is increasingly thriving in different domains, however, because of unexpected discourse complexity and training data sparseness, its potential distrust hatches vital apprehension.

Chatbot Multi-Task Learning

Fast and Flexible Human Pose Estimation with HyperPose

1 code implementation26 Aug 2021 Yixiao Guo, Jiawei Liu, Guo Li, Luo Mai, Hao Dong

When it comes to customising these algorithms for real-world applications, none of the existing libraries can offer both the flexibility of developing custom pose estimation algorithms and the high-performance of executing these algorithms on commodity devices.

Pose Estimation

ECNUICA at SemEval-2021 Task 11: Rule based Information Extraction Pipeline

no code implementations SEMEVAL 2021 Jiaju Lin, Jing Ling, Zhiwei Wang, Jiawei Liu, Qin Chen, Liang He

The purpose of the task was to extract triples from a paper in the Nature Language Processing field for constructing an Open Research Knowledge Graph.

Open Information Extraction

Confidence-Aware Learning for Camouflaged Object Detection

1 code implementation22 Jun 2021 Jiawei Liu, Jing Zhang, Nick Barnes

Then, we concatenate it with the input image and feed it to the confidence estimation network to produce an one channel confidence map. We generate dynamic supervision for the confidence estimation network, representing the agreement of camouflage prediction with the ground truth camouflage map.

Object Detection

Adaptive Domain-Specific Normalization for Generalizable Person Re-Identification

no code implementations7 May 2021 Jiawei Liu, Zhipeng Huang, Kecheng Zheng, Dong Liu, Xiaoyan Sun, Zheng-Jun Zha

It describes unseen target domain as a combination of the known source ones, and explicitly learns domain-specific representation with target distribution to improve the model's generalization by a meta-learning pipeline.

Generalizable Person Re-identification Meta-Learning

Learning structure-aware semantic segmentation with image-level supervision

1 code implementation15 Apr 2021 Jiawei Liu, Jing Zhang, Yicong Hong, Nick Barnes

Within this pipeline, the class activation map (CAM) is obtained and further processed to serve as a pseudo label to train the semantic segmentation model in a fully-supervised manner.

Boundary Detection Common Sense Reasoning +1

Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework

1 code implementation4 Mar 2021 Cheng Yang, Jiawei Liu, Chuan Shi

Our framework extracts the knowledge of an arbitrary learned GNN model (teacher model), and injects it into a well-designed student model.

Knowledge Distillation Node Classification

Hierarchical Gumbel Attention Network for Text-based Person Search

no code implementations10 Oct 2020 Kecheng Zheng, Wu Liu, Jiawei Liu, Zheng-Jun Zha, Tao Mei

This hard selection strategy is able to fuse the strong-relevant multi-modality features for alleviating the problem of matching redundancy.

Image Retrieval Image-to-Text Retrieval +3

Automatic Label Correction for the Accurate Edge Detection of Overlapping Cervical Cells

2 code implementations5 Oct 2020 Jiawei Liu, Qiang Wang, Huijie Fan, Shuai Wang, Wentao Li, Yandong Tang, Danbo Wang, Mingyi Zhou, Li Chen

The experiments on the dataset for training show that our automatic label correction algorithm can improve the accuracy of manual labels and further improve the positioning accuracy of overlapping cells with deep learning models.

Cell Segmentation Edge Detection

Temporal Attribute-Appearance Learning Network for Video-based Person Re-Identification

no code implementations9 Sep 2020 Jiawei Liu, Xierong Zhu, Zheng-Jun Zha

TALNet simultaneously exploits human attributes and appearance to learn comprehensive and effective pedestrian representations from videos.

Multi-Task Learning Video-Based Person Re-Identification

Decorrelated Clustering with Data Selection Bias

1 code implementation29 Jun 2020 Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang

Most of existing clustering algorithms are proposed without considering the selection bias in data.

Selection bias

Co-Designing Statistical MIMO Radar and In-band Full-Duplex Multi-User MIMO Communications

no code implementations26 Jun 2020 Jiawei Liu, Kumar Vijay Mishra, Mohammad Saquib

We present a spectral co-design of a statistical multiple-input-multiple-output (MIMO) radar and an in-band full-duplex (IBFD) multi-user MIMO (MU-MIMO) communications system both of which concurrently operate within the same frequency band.

Revisiting Regex Generation for Modeling Industrial Applications by Incorporating Byte Pair Encoder

no code implementations6 May 2020 De-Sheng Wang, Jiawei Liu, Xiang Qi, Baolin Sun, Peng Zhang

The results demonstrate the effectiveness of our method, which outperforms the baseline on 10 kinds of data and achieves nearly 50 percent improvement on average.

Co-Saliency Spatio-Temporal Interaction Network for Person Re-Identification in Videos

no code implementations10 Apr 2020 Jiawei Liu, Zheng-Jun Zha, Xierong Zhu, Na Jiang

Person re-identification aims at identifying a certain pedestrian across non-overlapping camera networks.

Person Re-Identification

Adaptive Transfer Network for Cross-Domain Person Re-Identification

no code implementations CVPR 2019 Jiawei Liu, Zheng-Jun Zha, Di Chen, Richang Hong, Meng Wang

In particular, ATNet consists of a transfer network composed by multiple factor-wise CycleGANs and an ensemble CycleGAN as well as a selection network that infers the affects of different factors on transferring each image.

Person Re-Identification Style Transfer

Automated Essay Scoring based on Two-Stage Learning

2 code implementations23 Jan 2019 Jiawei Liu, Yang Xu, Yaguang Zhu

Current state-of-art feature-engineered and end-to-end Automated Essay Score (AES) methods are proven to be unable to detect adversarial samples, e. g. the essays composed of permuted sentences and the prompt-irrelevant essays.

Automated Essay Scoring

CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification

no code implementations19 Nov 2018 Jiawei Liu, Zheng-Jun Zha, Hongtao Xie, Zhiwei Xiong, Yongdong Zhang

An appearance network is developed to learn appearance features from the full body, horizontal and vertical body parts of pedestrians with spatial dependencies among body parts.

Multi-Task Learning Person Re-Identification

Implicitly Incorporating Morphological Information into Word Embedding

no code implementations10 Jan 2017 Yang Xu, Jiawei Liu

In this paper, we propose three novel models to enhance word embedding by implicitly using morphological information.

Word Similarity

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