Lingqiao Liu

According to our database, Lingqiao Liu authored at least 164 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Causal Inspired Early-Branching Structure for Domain Generalization.

Liang Chen, Yong Zhang, Yibing Song, Zhen Zhang, Lingqiao Liu

Int. J. Comput. Vis., September, 2024

CAT: A Simple yet Effective Cross-Attention Transformer for One-Shot Object Detection.

Weidong Lin, Yuyan Deng, Yang Gao, Ning Wang, Lingqiao Liu, Lei Zhang, Peng Wang

J. Comput. Sci. Technol., March, 2024

ReFs: A hybrid pre-training paradigm for 3D medical image segmentation.

Yutong Xie, Jianpeng Zhang, Lingqiao Liu, Hu Wang, Yiwen Ye, Johan Verjans, Yong Xia

Medical Image Anal., January, 2024

Semi-Supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment.

Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu

IEEE Trans. Multim., 2024

Effective Tuning Strategies for Generalist Robot Manipulation Policies.

Wenbo Zhang, Yang Li, Yanyuan Qiao, Siyuan Huang, Jiajun Liu, Feras Dayoub, Xiao Ma, Lingqiao Liu

CoRR, 2024

EZIGen: Enhancing zero-shot subject-driven image generation with precise subject encoding and decoupled guidance.

Zicheng Duan, Yuxuan Ding, Chenhui Gou, Ziqin Zhou, Ethan Smith, Lingqiao Liu

CoRR, 2024

Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization.

Avraham Chapman, Haiming Xu, Lingqiao Liu

CoRR, 2024

Add-SD: Rational Generation without Manual Reference.

Lingfeng Yang, Xinyu Zhang, Xiang Li, Jinwen Chen, Kun Yao, Gang Zhang, Errui Ding, Lingqiao Liu, Jingdong Wang, Jian Yang

CoRR, 2024

On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition.

Zihu Wang, Lingqiao Liu, Scott Ricardo Figueroa Weston, Samuel Tian, Peng Li

CoRR, 2024

MuseBarControl: Enhancing Fine-Grained Control in Symbolic Music Generation through Pre-Training and Counterfactual Loss.

Yangyang Shu, Haiming Xu, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu

CoRR, 2024

MRScore: Evaluating Radiology Report Generation with LLM-based Reward System.

Yunyi Liu, Zhanyu Wang, Yingshu Li, Xinyu Liang, Lingqiao Liu, Lei Wang, Luping Zhou

CoRR, 2024

CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning.

Yukun Li, Guansong Pang, Wei Suo, Chenchen Jing, Yuling Xi, Lingqiao Liu, Hao Chen, Guoqiang Liang, Peng Wang

CoRR, 2024

A Simple-but-effective Baseline for Training-free Class-Agnostic Counting.

Yuhao Lin, Haiming Xu, Lingqiao Liu, Javen Qinfeng Shi

CoRR, 2024

I Learn Better If You Speak My Language: Enhancing Large Language Model Fine-Tuning with Style-Aligned Response Adjustments.

Xuan Ren, Biao Wu, Lingqiao Liu

CoRR, 2024

Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale.

Yangyang Shu, Xiaofeng Cao, Qi Chen, Bowen Zhang, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu

CoRR, 2024

MRScore: Evaluating Medical Report with LLM-Based Reward System.

Yunyi Liu, Zhanyu Wang, Yingshu Li, Xinyu Liang, Lingqiao Liu, Lei Wang, Luping Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

KARGEN: Knowledge-Enhanced Automated Radiology Report Generation Using Large Language Models.

Yingshu Li, Zhanyu Wang, Yunyi Liu, Lei Wang, Lingqiao Liu, Luping Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses.

Xuan Ren, Biao Wu, Lingqiao Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Unlocking the Potential of Pre-Trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors.

Ziqin Zhou, Hai-Ming Xu, Yangyang Shu, Lingqiao Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-Training Framework.

Vu Minh Hieu Phan, Yutong Xie, Yuankai Qi, Lingqiao Liu, Liyang Liu, Bowen Zhang, Zhibin Liao, Qi Wu, Minh-Son To, Johan W. Verjans

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Semantic Role Labeling Guided Out-of-distribution Detection.

Jinan Zou, Maihao Guo, Yu Tian, Yuhao Lin, Haiyao Cao, Lingqiao Liu, Ehsan Abbasnejad, Javen Qinfeng Shi

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

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

Deyin Liu, Lin Wu, Feng Zheng, Lingqiao Liu, Meng Wang

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Balanced image captioning with task-aware decoupled learning and fusion.

Yuxuan Ding, Lingqiao Liu, Chunna Tian, Xiangnan Zhang, Xilan Tian

Neurocomputing, June, 2023

Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification.

Lin Wu, Lingqiao Liu, Yang Wang, Zheng Zhang, Farid Boussaïd, Mohammed Bennamoun, Xianghua Xie

IEEE Trans. Image Process., 2023

A Comprehensive Study of GPT-4V's Multimodal Capabilities in Medical Imaging.

Yingshu Li, Yunyi Liu, Zhanyu Wang, Xinyu Liang, Lingqiao Liu, Lei Wang, Leyang Cui, Zhaopeng Tu, Longyue Wang, Luping Zhou

CoRR, 2023

Improving Online Source-free Domain Adaptation for Object Detection by Unsupervised Data Acquisition.

Xiangyu Shi, Yanyuan Qiao, Qi Wu, Lingqiao Liu, Feras Dayoub

CoRR, 2023

R2GenGPT: Radiology Report Generation with Frozen LLMs.

Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou

CoRR, 2023

You Can Generate It Again: Data-to-text Generation with Verification and Correction Prompting.

Xuan Ren, Lingqiao Liu

CoRR, 2023

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

Linyi Yang, Yaoxiao Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang

CoRR, 2023

Toward Re-Identifying Any Animal.

Bingliang Jiao, Lingqiao Liu, Liying Gao, Ruiqi Wu, Guosheng Lin, Peng Wang, Yanning Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Yuxuan Ding, Chunna Tian, Haoxuan Ding, Lingqiao Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Transformer-based Open-world Instance Segmentation with Cross-task Consistency Regularization.

Xizhe Xue, Dongdong Yu, Lingqiao Liu, Yu Liu, Satoshi Tsutsui, Ying Li, Zehuan Yuan, Ping Song, Mike Zheng Shou

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models.

Hai-Ming Xu, Lingqiao Liu, Hao Chen, Ehsan Abbasnejad, Rafael Felix

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Domain Generalization via Rationale Invariance.

Liang Chen, Yong Zhang, Yibing Song, Anton van den Hengel, Lingqiao Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Generative Approach for Comprehensive Financial Event Extraction at the Document Level.

Jinan Zou, Yanxi Liu, Yuankai Qi, Haiyao Cao, Lingqiao Liu, Javen Qinfeng Shi

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future.

Linyi Yang, Yaoxian Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Jingming Zhuo, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation.

Yuhao Lin, Haiming Xu, Lingqiao Liu, Jinan Zou, Javen Shi

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation.

Ziqin Zhou, Yinjie Lei, Bowen Zhang, Lingqiao Liu, Yifan Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Conditional Attributes for Compositional Zero-Shot Learning.

Qingsheng Wang, Lingqiao Liu, Chenchen Jing, Hao Chen, Guoqiang Liang, Peng Wang, Chunhua Shen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Yangyang Shu, Anton van den Hengel, Lingqiao Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Improved Test-Time Adaptation for Domain Generalization.

Liang Chen, Yong Zhang, Yibing Song, Ying Shan, Lingqiao Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Qiaoyang Luo, Lingqiao Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Feature Encoding With Autoencoders for Weakly Supervised Anomaly Detection.

Yingjie Zhou, Xucheng Song, Yanru Zhang, Fanxing Liu, Ce Zhu, Lingqiao Liu

IEEE Trans. Neural Networks Learn. Syst., 2022

Computationally Efficient Dilated Convolutional Model for Melody Extraction.

Xian Wang, Lingqiao Liu, Javen Qinfeng Shi

IEEE Signal Process. Lett., 2022

Center Prediction Loss for Re-identification.

Lu Yang, Yunlong Wang, Lingqiao Liu, Peng Wang, Yanning Zhang

Pattern Recognit., 2022

Privileged multi-task learning for attribute-aware aesthetic assessment.

Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu

Pattern Recognit., 2022

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

Bohan Zhuang, Mingkui Tan, Jing Liu, Lingqiao Liu, Ian Reid, Chunhua Shen

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Structured Binary Neural Networks for Image Recognition.

Bohan Zhuang, Chunhua Shen, Mingkui Tan, Peng Chen, Lingqiao Liu, Ian Reid

Int. J. Comput. Vis., 2022

Generalizable Person Re-Identification via Viewpoint Alignment and Fusion.

Bingliang Jiao, Lingqiao Liu, Liying Gao, Guosheng Lin, Ruiqi Wu, Shizhou Zhang, Peng Wang, Yanning Zhang

CoRR, 2022

Regularizing Neural Network Training via Identity-wise Discriminative Feature Suppression.

Avraham Chapman, Lingqiao Liu

CoRR, 2022

Pretrained Language Encoders are Natural Tagging Frameworks for Aspect Sentiment Triplet Extraction.

Yanjie Gou, Yinjie Lei, Lingqiao Liu, Yong Dai, Chunxu Shen, Yongqi Tong

CoRR, 2022

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

Xizhe Xue, Dongdong Yu, Lingqiao Liu, Yu Liu, Ying Li, Zehuan Yuan, Ping Song, Mike Zheng Shou

CoRR, 2022

Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification.

Lin Wu, Lingqiao Liu, Yang Wang, Zheng Zhang, Farid Boussaïd, Mohammed Bennamoun

CoRR, 2022

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

Yuxuan Ding, Lingqiao Liu, Chunna Tian, Jingyuan Yang, Haoxuan Ding

CoRR, 2022

Two-stage Decision Improves Open-Set Panoptic Segmentation.

Hai-Ming Xu, Hao Chen, Lingqiao Liu, Yufei Yin

CoRR, 2022

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

Jinan Zou, Haiyao Cao, Lingqiao Liu, Yuhao Lin, Ehsan Abbasnejad, Javen Qinfeng Shi

CoRR, 2022

Multi-Domain Joint Training for Person Re-Identification.

Lu Yang, Lingqiao Liu, Yunlong Wang, Peng Wang, Yanning Zhang

CoRR, 2022

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

Xiu-Shen Wei, Quan Cui, Lei Yang, Peng Wang, Lingqiao Liu, Jian Yang

Sci. China Inf. Sci., 2022

Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization.

Haiming Xu, Lingqiao Liu, Qiuchen Bian, Zhen Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Liang Chen, Yong Zhang, Yibing Song, Jue Wang, Lingqiao Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Progressive Class Semantic Matching for Semi-supervised Text Classification.

Hai-Ming Xu, Lingqiao Liu, Ehsan Abbasnejad

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

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

Lu Yang, Hongbang Liu, Lingqiao Liu, Jinghao Zhou, Lei Zhang, Peng Wang, Yanning Zhang

Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

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

Yangyang Shu, Baosheng Yu, Haiming Xu, Lingqiao Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

Dynamically Transformed Instance Normalization Network for Generalizable Person Re-Identification.

Bingliang Jiao, Lingqiao Liu, Liying Gao, Guosheng Lin, Lu Yang, Shizhou Zhang, Peng Wang, Yanning Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Liang Chen, Yong Zhang, Yibing Song, Lingqiao Liu, Jue Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dual Decision Improves Open-Set Panoptic Segmentation.

Haiming Xu, Hao Chen, Lingqiao Liu, Yufei Yin

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

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

Duo Peng, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Jun Liu

IEEE Trans. Image Process., 2021

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

Haibo Su, Peng Wang, Lingqiao Liu, Hui Li, Zhen Li, Yanning Zhang

IEEE Trans. Circuits Syst. Video Technol., 2021

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

Wanxuan Lu, Dong Gong, Kun Fu, Xian Sun, Wenhui Diao, Lingqiao Liu

Pattern Recognit., 2021

Towards using count-level weak supervision for crowd counting.

Yinjie Lei, Yan Liu, Pingping Zhang, Lingqiao Liu

Pattern Recognit., 2021

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

Liangyi Kang, Jie Liu, Lingqiao Liu, Zhiyang Zhou, Dan Ye

Inf. Process. Manag., 2021

Exploring the auxiliary learning for long-tailed visual recognition.

Junjie Zhang, Lingqiao Liu, Peng Wang, Jian Zhang

Neurocomputing, 2021

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

Weidong Lin, Yuyan Deng, Yang Gao, Ning Wang, Jinghao Zhou, Lingqiao Liu, Lei Zhang, Peng Wang

CoRR, 2021

Center Prediction Loss for Re-identification.

Lu Yang, Yunlong Wang, Lingqiao Liu, Peng Wang, Lu Chi, Zehuan Yuan, Changhu Wang, Yanning Zhang

CoRR, 2021

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

Lu Yang, Hongbang Liu, Jinghao Zhou, Lingqiao Liu, Lei Zhang, Peng Wang, Yanning Zhang

CoRR, 2021

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

Yanjie Gou, Yinjie Lei, Lingqiao Liu, Yong Dai, Chunxu Shen

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Label Definitions Augmented Interaction Model for Legal Charge Prediction.

Liangyi Kang, Jie Liu, Lingqiao Liu, Dan Ye

Proceedings of the Advances in Information Retrieval, 2021

Semi-supervised Learning via Conditional Rotation Angle Estimation.

Hai-Ming Xu, Lingqiao Liu, Dong Gong

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

Don't Miss the Labels: Label-semantic Augmented Meta-Learner for Few-Shot Text Classification.

Qiaoyang Luo, Lingqiao Liu, Yuhao Lin, Wei Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Towards Effective Deep Embedding for Zero-Shot Learning.

Lei Zhang, Peng Wang, Lingqiao Liu, Chunhua Shen, Wei Wei, Yanning Zhang, Anton van den Hengel

IEEE Trans. Circuits Syst. Video Technol., 2020

Mask-Aware Networks for Crowd Counting.

Shengqin Jiang, Xiaobo Lu, Yinjie Lei, Lingqiao Liu

IEEE Trans. Circuits Syst. Video Technol., 2020

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

Yu Chen, Chunhua Shen, Hao Chen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang

IEEE Trans. Pattern Anal. Mach. Intell., 2020

A Dynamic Parameter Enhanced Network for distant supervised relation extraction.

Yanjie Gou, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Xi Peng

Knowl. Based Syst., 2020

Adaptive Importance Learning for Improving Lightweight Image Super-Resolution Network.

Lei Zhang, Peng Wang, Chunhua Shen, Lingqiao Liu, Wei Wei, Yanning Zhang, Anton van den Hengel

Int. J. Comput. Vis., 2020

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

M. Ehsan Abbasnejad, Javen Shi, Anton van den Hengel, Lingqiao Liu

Int. J. Comput. Vis., 2020

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

Yanjie Gou, Yinjie Lei, Lingqiao Liu

CoRR, 2020

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

Yan Liu, Lingqiao Liu, Peng Wang, Pingping Zhang, Yinjie Lei

CoRR, 2020

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

Haokui Zhang, Yu Liu, Bei Fang, Ying Li, Lingqiao Liu, Ian D. Reid

CoRR, 2020

Medical Data Inquiry Using a Question Answering Model.

Zhibin Liao, Lingqiao Liu, Qi Wu, Damien Teney, Chunhua Shen, Anton van den Hengel, Johan Verjans

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

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

Yu Liu, Lingqiao Liu, Haokui Zhang, Hamid Rezatofighi, Qingsen Yan, Ian D. Reid

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Enhancing Piano Transcription by Dilated Convolution.

Xian Wang, Lingqiao Liu, Qinfeng Shi

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Harmonic Structure-Based Neural Network Model for Music Pitch Detection.

Xian Wang, Lingqiao Liu, Qinfeng Shi

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Semi-supervised Crowd Counting via Self-training on Surrogate Tasks.

Yan Liu, Lingqiao Liu, Peng Wang, Pingping Zhang, Yinjie Lei

Proceedings of the Computer Vision - ECCV 2020, 2020

Training Quantized Neural Networks With a Full-Precision Auxiliary Module.

Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

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

Xiu-Shen Wei, Peng Wang, Lingqiao Liu, Chunhua Shen, Jianxin Wu

IEEE Trans. Image Process., 2019

Order-aware convolutional pooling for video based action recognition.

Peng Wang, Lingqiao Liu, Chunhua Shen, Heng Tao Shen

Pattern Recognit., 2019

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

Yinjie Lei, Ziqin Zhou, Pingping Zhang, Yulan Guo, Zijun Ma, Lingqiao Liu

Pattern Recognit., 2019

To Balance or Not to Balance: An Embarrassingly Simple Approach for Learning with Long-Tailed Distributions.

Junjie Zhang, Lingqiao Liu, Peng Wang, Chunhua Shen

CoRR, 2019

DNNRE: A Dynamic Neural Network for Distant Supervised Relation Extraction.

Yanjie Gou, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Jingyi Zhang, Xi Peng

CoRR, 2019

Creating Auxiliary Representations from Charge Definitions for Criminal Charge Prediction.

Liangyi Kang, Jie Liu, Lingqiao Liu, Qinfeng Shi, Dan Ye

CoRR, 2019

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

Yu Liu, Lingqiao Liu, Haokui Zhang, Seyed Hamid Rezatofighi, Ian D. Reid

CoRR, 2019

Structured Binary Neural Networks for Image Recognition.

Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid

CoRR, 2019

In defense of OSVOS.

Yu Liu, Yutong Dai, Anh-Dzung Doan, Lingqiao Liu, Ian D. Reid

CoRR, 2019

Training Quantized Network with Auxiliary Gradient Module.

Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid

CoRR, 2019

RPC: A Large-Scale Retail Product Checkout Dataset.

Xiu-Shen Wei, Quan Cui, Lei Yang, Peng Wang, Lingqiao Liu

CoRR, 2019

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

Yu Liu, Lingqiao Liu, Seyed Hamid Rezatofighi, Thanh-Toan Do, Qinfeng Shi, Ian D. Reid

CoRR, 2019

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

Xian Wang, Lingqiao Liu, Qinfeng Shi

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

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

Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation.

Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Generative Adversarial Density Estimator.

M. Ehsan Abbasnejad, Qinfeng Shi, Anton van den Hengel, Lingqiao Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

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

Zetao Chen, Lingqiao Liu, Inkyu Sa, Zongyuan Ge, Margarita Chli

IEEE Robotics Autom. Lett., 2018

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

Jie Yang, Dong Gong, Lingqiao Liu, Qinfeng Shi

Proceedings of the Computer Vision - ECCV 2018, 2018

Towards Effective Low-Bitwidth Convolutional Neural Networks.

Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Coarse-to-Fine: A RNN-Based Hierarchical Attention Model for Vehicle Re-identification.

Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

A Graph-Embedding Approach to Hierarchical Visual Word Mergence.

Lei Wang, Lingqiao Liu, Luping Zhou

IEEE Trans. Neural Networks Learn. Syst., 2017

Temporal Pyramid Pooling-Based Convolutional Neural Network for Action Recognition.

Peng Wang, Yuanzhouhan Cao, Chunhua Shen, Lingqiao Liu, Heng Tao Shen

IEEE Trans. Circuits Syst. Video Technol., 2017

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

Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel

Pattern Recognit., 2017

Compositional Model Based Fisher Vector Coding for Image Classification.

Lingqiao Liu, Peng Wang, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang, Heng Tao Shen

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Cross-Convolutional-Layer Pooling for Image Recognition.

Lingqiao Liu, Chunhua Shen, Anton van den Hengel

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Mining Mid-level Visual Patterns with Deep CNN Activations.

Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel

Int. J. Comput. Vis., 2017

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

Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang

CoRR, 2017

Towards Context-aware Interaction Recognition.

Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Ian D. Reid

CoRR, 2017

Visually Aligned Word Embeddings for Improving Zero-shot Learning.

Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel

CoRR, 2017

Deep learning features at scale for visual place recognition.

Zetao Chen, Adam Jacobson, Niko Sünderhauf, Ben Upcroft, Lingqiao Liu, Chunhua Shen, Ian D. Reid, Michael Milford

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Towards Context-Aware Interaction Recognition for Visual Relationship Detection.

Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Ian D. Reid

Proceedings of the IEEE International Conference on Computer Vision, 2017

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

Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang

Proceedings of the IEEE International Conference on Computer Vision, 2017

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

Bohan Zhuang, Lingqiao Liu, Yao Li, Chunhua Shen, Ian D. Reid

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Multi-attention Network for One Shot Learning.

Peng Wang, Lingqiao Liu, Chunhua Shen, Zi Huang, Anton van den Hengel, Heng Tao Shen

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Graph-Structured Representations for Visual Question Answering.

Damien Teney, Lingqiao Liu, Anton van den Hengel

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Sequential Person Recognition in Photo Albums with a Recurrent Network.

Yao Li, Guosheng Lin, Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

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

Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian D. Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Weakly Supervised Semantic Segmentation Based on Co-segmentation.

Tong Shen, Guosheng Lin, Lingqiao Liu, Chunhua Shen, Ian Reid

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data.

Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen

IEEE Trans. Pattern Anal. Mach. Intell., 2016

A Generalized Probabilistic Framework for Compact Codebook Creation.

Lingqiao Liu, Lei Wang, Chunhua Shen

IEEE Trans. Pattern Anal. Mach. Intell., 2016

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

Peng Wang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel, Heng Tao Shen

CoRR, 2016

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

Jiewei Cao, Lingqiao Liu, Peng Wang, Zi Huang, Chunhua Shen, Heng Tao Shen

CoRR, 2016

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

Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel

Proceedings of the Computer Vision - ECCV 2016, 2016

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

ZongYuan Ge, Chris McCool, Conrad Sanderson, Peng Wang, Lingqiao Liu, Ian D. Reid, Peter I. Corke

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

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

Qi Wu, Chunhua Shen, Lingqiao Liu, Anthony R. Dick, Anton van den Hengel

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

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

Peng Wang, Lingqiao Liu, Chunhua Shen, Zi Huang, Anton van den Hengel, Heng Tao Shen

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

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

Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Density Maximization for Improving Graph Matching With Its Applications.

Chao Wang, Lei Wang, Lingqiao Liu

IEEE Trans. Image Process., 2015

Image Captioning with an Intermediate Attributes Layer.

Qi Wu, Chunhua Shen, Anton van den Hengel, Lingqiao Liu, Anthony R. Dick

CoRR, 2015

Temporal Pyramid Pooling Based Convolutional Neural Networks for Action Recognition.

Peng Wang, Yuanzhouhan Cao, Chunhua Shen, Lingqiao Liu, Heng Tao Shen

CoRR, 2015

Cross-convolutional-layer Pooling for Generic Visual Recognition.

Lingqiao Liu, Chunhua Shen, Anton van den Hengel

CoRR, 2015

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

Lingqiao Liu, Chunhua Shen, Anton van den Hengel

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Mid-level deep pattern mining.

Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

HEp-2 cell image classification with multiple linear descriptors.

Lingqiao Liu, Lei Wang

Pattern Recognit., 2014

A Hierarchical Word-Merging Algorithm with Class Separability Measure.

Lei Wang, Luping Zhou, Chunhua Shen, Lingqiao Liu, Huan Liu

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors.

Lingqiao Liu, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Max-Margin Based Learning for Discriminative Bayesian Network from Neuroimaging Data.

Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Progressive Mode-Seeking on Graphs for Sparse Feature Matching.

Chao Wang, Lei Wang, Lingqiao Liu

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

An Adaptive Approach to Learning Optimal Neighborhood Kernels.

Xinwang Liu, Jianping Yin, Lei Wang, Lingqiao Liu, Jun Liu, Chenping Hou, Jian Zhang

IEEE Trans. Cybern., 2013

Improving Graph Matching via Density Maximization.

Chao Wang, Lei Wang, Lingqiao Liu

Proceedings of the IEEE International Conference on Computer Vision, 2013

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

Lingqiao Liu, Lei Wang

Proceedings of the IEEE International Conference on Computer Vision, 2013

Accelerating the Divisive Information-Theoretic Clustering of Visual Words.

Jianjia Zhang, Lei Wang, Lingqiao Liu, Luping Zhou, Wanqing Li

Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

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

Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Incorporation of radius-info can be simple with SimpleMKL.

Xinwang Liu, Lei Wang, Jianping Yin, Lingqiao Liu

Neurocomputing, 2012

What has my classifier learned? Visualizing the classification rules of bag-of-feature model by support region detection.

Lingqiao Liu, Lei Wang

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Exploring latent class information for image retrieval using the bag-of-feature model.

Lingqiao Liu, Lei Wang

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

In defense of soft-assignment coding.

Lingqiao Liu, Lei Wang, Xinwang Liu

Proceedings of the IEEE International Conference on Computer Vision, 2011

2008

Edge Mapping: A New Motion Estimation Method for Video Stabilization.

Lingqiao Liu, Zhizhong Fu, Jingjing Xie, Wei Qian

Proceedings of the 2008 International Symposium on Computer Science and Computational Technology, 2008