Lingqiao Liu

发表

Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors

Lei Wang, Chao Wang, Anton van den Hengel, 2014, NIPS.

Boundarymix: Generating pseudo-training images for improving segmentation with scribble annotations

Lingqiao Liu, Xian Sun, Kun Fu, 2021, Pattern Recognit..

Structured Binary Neural Networks for Image Recognition pdf

Mingkui Tan, Ian Reid, Chunhua Shen, 2019, ArXiv.

Pose Generator ( G ) : Head : R arm : L arm : Chest : R leg : L leg Plausible Pose

Chunhua Shen, Lingqiao Liu, Xiu-Shen Wei, 2018 .

Context-aware Memory Enhanced Transformer for End-to-end Task-Oriented Dialogue Systems

Lingqiao Liu, Yinjie Lei, Yanjie Gou, 2020 .

Center Prediction Loss for Re-identification pdf

Zehuan Yuan, Lingqiao Liu, Lu Yang, 2021, ArXiv.

HEp-2 Cell Image Classication with Multiple Linear

Lei Wang, Lingqiao Liu, 2013 .

2013 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2013, Hobart, Australia, November 26-28, 2013

Lei Wang, Stuart Crozier, Jianjia Zhang, 2013, DICTA.

Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model

Lingqiao Liu, Ehsan Abbasnejad, J. Shi, 2022, ArXiv.

Progressive Class Semantic Matching for Semi-supervised Text Classification

Lingqiao Liu, Ehsan Abbasnejad, Hai-Ming Xu, 2022, NAACL.

Don't Stop Learning: Towards Continual Learning for the CLIP Model

Lingqiao Liu, Chunna Tian, Yuxuan Ding, 2022, ArXiv.

CAT: Cross-Attention Transformer for One-Shot Object Detection pdf

Jinghao Zhou, Lingqiao Liu, Lei Zhang, 2021, ArXiv.

Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model

Lingqiao Liu, Ehsan Abbasnejad, J. Shi, 2022, FINNLP.

Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes pdf

Yu Liu, Ian D. Reid, Lingqiao Liu, 2019, ArXiv.

Two-stage Decision Improves Open-Set Panoptic Segmentation

Lingqiao Liu, Hao Chen, Hainan Xu, 2022, ArXiv.

Dual Decision Improves Open-Set Panoptic Segmentation

Lingqiao Liu, Hao Chen, Hainan Xu, 2022, BMVC.

Structured Binary Neural Networks for Image Recognition

I. Reid, Lingqiao Liu, Chunhua Shen, 2019, International Journal of Computer Vision.

Semi-supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment

Lingqiao Liu, Qian Li, Guandong Xu, 2021, IEEE Transactions on Multimedia.

corrupted dataset - do not use

Peng Wang, Conrad Sanderson, Ian Reid, 2016 .

Privileged multi-task learning for attribute-aware aesthetic assessment

Lingqiao Liu, Qian Li, Guandong Xu, 2022, Pattern Recognit..

ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation

Lingqiao Liu, Yinjie Lei, Yifan Liu, 2022, 2212.03588.

Edge Mapping: A New Motion Estimation Method for Video Stabilization

Zhizhong Fu, Wei Qian, Lingqiao Liu, 2008, International Symposium on Computer Science and Computational Technology.

Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization

Jian Yang, Xiu-Shen Wei, Yu Chen, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification

Anton van den Hengel, Chunhua Shen, Lingqiao Liu, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation

Xiu-Shen Wei, Chunhua Shen, Lingqiao Liu, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation

Ian D. Reid, Mingkui Tan, Chunhua Shen, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Rethinking Binary Neural Network for Accurate Image Classification and Semantic Segmentation

Mingkui Tan, Chunhua Shen, Lingqiao Liu, 2018 .

Stock Market Prediction via Deep Learning Techniques: A Survey

Lingqiao Liu, Ehsan Abbasnejad, Qingsen Yan, 2022, 2212.12717.

GADE: A Generative Adversarial Approach to Density Estimation and its Applications

Anton van den Hengel, Lingqiao Liu, Ehsan Abbasnejad, 2020, International Journal of Computer Vision.

A Generative Adversarial Density Estimator

Anton van den Hengel, Lingqiao Liu, Qinfeng Shi, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

What Value Do Explicit High Level Concepts Have in Vision to Language Problems?

Chunhua Shen, Anton van den Hengel, Lingqiao Liu, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Where to Focus: Query Adaptive Matching for Instance Retrieval Using Convolutional Feature Maps pdf

Zi Huang, Heng Tao Shen, Chunhua Shen, 2016, ArXiv.

Where to Look and How to Describe: Fashion Image Retrieval With an Attentional Heterogeneous Bilinear Network pdf

Yanning Zhang, Peng Wang, Hui Li, 2020, IEEE Transactions on Circuits and Systems for Video Technology.

Towards Context-Aware Interaction Recognition for Visual Relationship Detection

Ian D. Reid, Chunhua Shen, Lingqiao Liu, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection

Svetha Venkatesh, Anton van den Hengel, Lingqiao Liu, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices pdf

Anton van den Hengel, Chunhua Shen, Lingqiao Liu, 2019, AAAI.

RPC: A Large-Scale Retail Product Checkout Dataset pdf

Lei Yang, Peng Wang, Xiu-Shen Wei, 2019, ArXiv.

ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation

Lingqiao Liu, Yinjie Lei, Yifan Liu, 2022, ArXiv.

Graph-Structured Representations for Visual Question Answering

Anton van den Hengel, Lingqiao Liu, Damien Teney, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur

Ian D. Reid, Jie Yang, Yanning Zhang, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Effective Training of Convolutional Neural Networks With Low-Bitwidth Weights and Activations pdf

Jing Liu, Mingkui Tan, Chunhua Shen, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Towards Effective Low-Bitwidth Convolutional Neural Networks

Ian D. Reid, Mingkui Tan, Chunhua Shen, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Support Vector Machines for neuroimage analysis: Interpretation from discrimination

Dinggang Shen, Philip Ogunbona, Lei Wang, 2014 .

Balanced image captioning with task-aware decoupled learning and fusion

Lingqiao Liu, Chunna Tian, Xilan Tian, 2023, Neurocomputing.

Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning pdf

Ying Li, Lingqiao Liu, Haokui Zhang, 2020, Remote. Sens..

Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection

Lingqiao Liu, Yibing Song, Jue Wang, 2022, Computer Vision and Pattern Recognition.

OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training

Lingqiao Liu, Yibing Song, Liang Chen, 2022, NeurIPS.

Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples

Xiu-Shen Wei, Jianxin Wu, Chunhua Shen, 2018, IEEE Transactions on Image Processing.

Dynamically Transformed Instance Normalization Network for Generalizable Person Re-Identification

Lingqiao Liu, Guosheng Lin, Yanning Zhang, 2022, ECCV.

Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems

Lingqiao Liu, Yinjie Lei, Yanjie Gou, 2020, EMNLP.

Temporal Pyramid Pooling-Based Convolutional Neural Network for Action Recognition

Peng Wang, Heng Tao Shen, Chunhua Shen, 2015, IEEE Transactions on Circuits and Systems for Video Technology.

Feature Encoding With Autoencoders for Weakly Supervised Anomaly Detection

Lingqiao Liu, Ce Zhu, Fanxing Liu, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Weakly Supervised Semantic Segmentation Based on Web Image Co-segmentation

Guosheng Lin, Chunhua Shen, Lingqiao Liu, 2017, 1705.09052.

Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation

Lingqiao Liu, Yinjie Lei, Jun Liu, 2021, IEEE Transactions on Image Processing.

Verbal-Person Nets: Pose-Guided Multi-Granularity Language-to-Person Generation.

Lingqiao Liu, M. Wang, Feng Zheng, 2022, IEEE transactions on neural networks and learning systems.

Deep learning features at scale for visual place recognition

Michael Milford, Ian D. Reid, Niko Sünderhauf, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Generalizable Person Re-Identification via Viewpoint Alignment and Fusion

Lingqiao Liu, Guosheng Lin, Yanning Zhang, 2022, ArXiv.

Deep point-to-subspace metric learning for sketch-based 3D shape retrieval

Yulan Guo, Lingqiao Liu, Pingping Zhang, 2019, Pattern Recognit..

Weakly Supervised Semantic Segmentation Based on Co-segmentation pdf

Ian D. Reid, Guosheng Lin, Chunhua Shen, 2017, BMVC.

Compositional Model Based Fisher Vector Coding for Image Classification

Lei Wang, Heng Tao Shen, Chao Wang, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation

Lingqiao Liu, Jinan Zou, Yuhao Lin, 2023, 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Improved Test-Time Adaptation for Domain Generalization

Lingqiao Liu, Yong Zhang, Ying Shan, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A Dynamic Parameter Enhanced Network for distant supervised relation extraction

Lingqiao Liu, Yinjie Lei, Pingping Zhang, 2020, Knowl. Based Syst..

Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data

Dinggang Shen, Lei Wang, Philip Ogunbona, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Towards Using Count-level Weak Supervision for Crowd Counting

Lingqiao Liu, Yinjie Lei, Yan Liu, 2020, Pattern Recognit..

Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition pdf

Anton van den Hengel, Chunhua Shen, Lingqiao Liu, 2015, Pattern Recognit..

Order-aware Convolutional Pooling for Video Based Action Recognition pdf

Heng Tao Shen, Chunhua Shen, Lingqiao Liu, 2016, Pattern Recognit..

METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens

Lei Wang, Lingqiao Liu, Luping Zhou, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In defense of soft-assignment coding

Lei Wang, Lingqiao Liu, Xinwang Liu, 2011, 2011 International Conference on Computer Vision.

Light transmission through a one-dimensional metallic grating covered by a reduced cytochrome c molecule layer

Lingqiao Liu, Liang Xu, Jian-Bo Li, 2016 .

Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation pdf

Ian D. Reid, Yu Liu, Lingqiao Liu, 2019, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Multi-attention Network for One Shot Learning

Zi Huang, Heng Tao Shen, Anton van den Hengel, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization

Mike Zheng Shou, Lingqiao Liu, Yu Liu, 2022, ArXiv.

Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems

Lingqiao Liu, Yangyang Shu, A. Hengel, 2023, ArXiv.

RPC: a large-scale and fine-grained retail product checkout dataset

Lingqiao Liu, Quan Cui, Peng Wang, 2022, Science China Information Sciences.

Out-of-Distribution Generalization in Text Classification: Past, Present, and Future

Lingqiao Liu, Jindong Wang, Jennifer Foster, 2023, ArXiv.

Exploiting Stereo Sound Channels to Boost Performance of Neural Network-Based Music Transcription

Lingqiao Liu, Qinfeng Shi, Xian Wang, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network

Dinggang Shen, Lei Wang, Philip Ogunbona, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation

Lingqiao Liu, Yinjie Lei, Yifan Liu, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Mining Mid-level Visual Patterns with Deep CNN Activations

Yao Li, Anton van den Hengel, Chunhua Shen, 2015, International Journal of Computer Vision.

What value high level concepts in vision to language problems

Qi Wu, Anton van den Hengel, Chunhua Shen, 2015 .

Image Captioning with an Intermediate Attributes Layer pdf

Qi Wu, Anton van den Hengel, Chunhua Shen, 2015, ArXiv.

Less is More: Zero-Shot Learning from Online Textual Documents with Noise Suppression

Anton van den Hengel, Chunhua Shen, Lingqiao Liu, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data

Lei Wang, Lingqiao Liu, Lei Wang, 2013, 2013 IEEE International Conference on Computer Vision.

Towards Effective Deep Embedding for Zero-Shot Learning

Lei Zhang, Wei Wei, Yanning Zhang, 2018, IEEE Transactions on Circuits and Systems for Video Technology.

Training Quantized Neural Networks With a Full-Precision Auxiliary Module

Mingkui Tan, Chunhua Shen, Lingqiao Liu, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Mask-Aware Networks for Crowd Counting

Xiaobo Lu, Lingqiao Liu, Shengqin Jiang, 2018, IEEE Transactions on Circuits and Systems for Video Technology.

Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks

Lingqiao Liu, Yan Liu, Yinjie Lei, 2020, ECCV.

Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution

Yao Li, Anton van den Hengel, Chunhua Shen, 2016, ECCV.

Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning from Web Data

Yao Li, Ian D. Reid, Chunhua Shen, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Semi-supervised emotion recognition in textual conversation via a context-augmented auxiliary training task

Lingqiao Liu, Liangyi Kang, Jie Liu, 2021, Inf. Process. Manag..

An Adaptive Approach to Learning Optimal Neighborhood Kernels

Lei Wang, Jianping Yin, Chenping Hou, 2013, IEEE Transactions on Cybernetics.

Towards Context-Aware Interaction Recognition for Visual Relationship Detection pdf

Ian D. Reid, Chunhua Shen, Lingqiao Liu, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Application of SVMs to the Bag-of-Features Model: A Kernel Perspective

Lei Wang, Luping Zhou, Kap Luk Chan, 2014 .

Exploiting Temporal Information for DCNN-Based Fine-Grained Object Classification

Peter I. Corke, Peng Wang, Ian D. Reid, 2016, 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Sequential Person Recognition in Photo Albums with a Recurrent Network

Yao Li, Guosheng Lin, Anton van den Hengel, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

CNN joint embedding LSTM LSTM CNN joint embedding LSTM CNN joint embedding LSTM CNN joint embedding LSTM CNN joint embedding

Chunhua Shen, Lingqiao Liu, Guosheng Lin, 2017 .

A Sketch Based 3D Shape Retrieval Approach Based on Efficient Deep Point-to-Subspace Metric Learning pdf

Yulan Guo, Lingqiao Liu, Pingping Zhang, 2019, ArXiv.

Medical Data Inquiry Using a Question Answering Model

Anton van den Hengel, Zhibin Liao, Lingqiao Liu, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Cross-Convolutional-Layer Pooling for Image Recognition

Chunhua Shen, Anton van den Hengel, Lingqiao Liu, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification pdf

Xiu-Shen Wei, Jianxin Wu, Chunhua Shen, 2018, ACCV.

Domain Generalization via Rationale Invariance

Lingqiao Liu, Yibing Song, Liang Chen, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization

Lingqiao Liu, Hai-Ming Xu, Zhengeng Yang, 2022, NeurIPS.

Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism

Lingqiao Liu, Yangyang Shu, Hai-Ming Xu, 2022, ECCV.

The CLIP Model is Secretly an Image-to-Prompt Converter

Lingqiao Liu, Chunna Tian, Yuxuan Ding, 2023, NeurIPS.

Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal

Jie Yang, Lingqiao Liu, Qinfeng Shi, 2018, ECCV.

Learning Context Flexible Attention Model for Long-Term Visual Place Recognition

Lingqiao Liu, Inkyu Sa, Margarita Chli, 2018, IEEE Robotics and Automation Letters.

Adaptive Importance Learning for Improving Lightweight Image Super-Resolution Network

Peng Wang, Yanning Zhang, Wei Wei, 2018, International Journal of Computer Vision.

Semi-supervised Learning via Conditional Rotation Angle Estimation pdf

Lingqiao Liu, Dong Gong, Hai-Ming Xu, 2020, 2021 Digital Image Computing: Techniques and Applications (DICTA).

Regularizing Neural Network Training via Identity-wise Discriminative Feature Suppression

Lingqiao Liu, Avraham Chapman, 2022, International Conference on Digital Image Computing: Techniques and Applications.

Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples

Chunhua Shen, Lingqiao Liu, Xiu-Shen Wei, 2018, IEEE Transactions on Image Processing.

What’s Wrong with That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution

Zi Huang, Heng Tao Shen, Anton van den Hengel, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Multi-Domain Joint Training for Person Re-Identification pdf

Lingqiao Liu, Yunlong Wang, Peng Wang, 2022, ArXiv.

Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-Identification pdf

Jinghao Zhou, Lei Zhang, Lingqiao Liu, 2021, ICMR.

Hi Detector, What's Wrong with that Object? Identifying Irregular Object From Images by Modelling the Detection Score Distribution pdf

Heng Tao Shen, Anton van den Hengel, Chunhua Shen, 2016, ArXiv.

Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems

Lingqiao Liu, Yangyang Shu, A. Hengel, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Discriminative Bayesian Networks from High-dimensional Continuous Neuroimaging Data

Lei Wang, Lingqiao Liu, P. Ogunbona, 2015, IEEE transactions on pattern analysis and machine intelligence.

Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data

Lingqiao Liu, P. Ogunbona, D. Shen, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Zero-Shot Slot Filling with Slot-Prefix Prompting and Attention Relationship Descriptor

Lingqiao Liu, Qiaoyang Luo, 2023, AAAI.

A Graph-Embedding Approach to Hierarchical Visual Word Mergence

Lei Wang, Luping Zhou, Lingqiao Liu, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Accelerating the Divisive Information-Theoretic Clustering of Visual Words

Lei Wang, Jianjia Zhang, Wanqing Li, 2013, 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

UOA at the FinNLP-2022 ERAI Task: Leveraging the Class Label Description for Financial Opinion Mining

Lingqiao Liu, Ehsan Abbasnejad, Jinan Zou, 2022, FINNLP.