Edge Mapping: A New Motion Estimation Method for Video Stabilization. - Lingqiao Liu; Zhizhong Fu; Jingjing Xie; Wei Qian (ISCSCT (2), 2008)

In defense of soft-assignment coding. - Lingqiao Liu; Lei Wang 001; Xinwang Liu 002 (ICCV, 2011)

Exploring latent class information for image retrieval using the bag-of-feature model. - Lingqiao Liu; Lei Wang 001 (ACM Multimedia, 2011)

What has my classifier learned? Visualizing the classification rules of bag-of-feature model by support region detection. - Lingqiao Liu; Lei Wang 001 (CVPR, 2012)

Incorporation of radius-info can be simple with SimpleMKL. - Xinwang Liu 002; Lei Wang 001; Jianping Yin; Lingqiao Liu (Neurocomputing, 2012)

Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network. - Luping Zhou; Lei Wang 001; Lingqiao Liu; Philip Ogunbona; Dinggang Shen (CVPR, 2013)

Accelerating the Divisive Information-Theoretic Clustering of Visual Words. - Jianjia Zhang; Lei Wang 001; Lingqiao Liu; Luping Zhou; Wanqing Li 001 (DICTA, 2013)

A Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data. - Lingqiao Liu; Lei Wang 001 (ICCV, 2013)

Improving Graph Matching via Density Maximization. - Chao Wang 063; Lei Wang 001; Lingqiao Liu (ICCV, 2013)

An Adaptive Approach to Learning Optimal Neighborhood Kernels. - Xinwang Liu 002; Jianping Yin; Lei Wang 001; Lingqiao Liu; Jun Liu 003; Chenping Hou; Jian Zhang 002 (IEEE Trans. Cybern., 2013)

Progressive Mode-Seeking on Graphs for Sparse Feature Matching. - Chao Wang 063; Lei Wang 001; Lingqiao Liu (ECCV (2), 2014)

Max-Margin Based Learning for Discriminative Bayesian Network from Neuroimaging Data. - Luping Zhou; Lei Wang 001; Lingqiao Liu; Philip Ogunbona; Dinggang Shen (MICCAI (3), 2014)

Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors. - Lingqiao Liu; Chunhua Shen; Lei Wang 001; Anton van den Hengel; Chao Wang 063 (NIPS, 2014)

A Hierarchical Word-Merging Algorithm with Class Separability Measure. - Lei Wang 001; Luping Zhou; Chunhua Shen; Lingqiao Liu; Huan Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

HEp-2 cell image classification with multiple linear descriptors. - Lingqiao Liu; Lei Wang 001 (Pattern Recognit., 2014)

Mid-level deep pattern mining. - Yao Li 003; Lingqiao Liu; Chunhua Shen; Anton van den Hengel (CVPR, 2015)

The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification. - Lingqiao Liu; Chunhua Shen; Anton van den Hengel (CVPR, 2015)

Cross-convolutional-layer Pooling for Generic Visual Recognition. - Lingqiao Liu; Chunhua Shen; Anton van den Hengel (CoRR, 2015)

Temporal Pyramid Pooling Based Convolutional Neural Networks for Action Recognition. - Peng Wang 023; Yuanzhouhan Cao; Chunhua Shen; Lingqiao Liu; Heng Tao Shen (CoRR, 2015)

Image Captioning with an Intermediate Attributes Layer. - Qi Wu 001; Chunhua Shen; Anton van den Hengel; Lingqiao Liu; Anthony R. Dick (CoRR, 2015)

Density Maximization for Improving Graph Matching With Its Applications. - Chao Wang 063; Lei Wang 001; Lingqiao Liu (IEEE Trans. Image Process., 2015)

Less is More: Zero-Shot Learning from Online Textual Documents with Noise Suppression. - Ruizhi Qiao; Lingqiao Liu; Chunhua Shen; Anton van den Hengel (CVPR, 2016)

What's Wrong with That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution. - Peng Wang 023; Lingqiao Liu; Chunhua Shen; Zi Huang; Anton van den Hengel; Heng Tao Shen (CVPR, 2016)

What Value Do Explicit High Level Concepts Have in Vision to Language Problems? - Qi Wu 001; Chunhua Shen; Lingqiao Liu; Anthony R. Dick; Anton van den Hengel (CVPR, 2016)

Exploiting Temporal Information for DCNN-Based Fine-Grained Object Classification. - ZongYuan Ge; Chris McCool; Conrad Sanderson; Peng Wang 023; Lingqiao Liu; Ian D. Reid 001; Peter I. Corke (DICTA, 2016)

Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution. - Yao Li 003; Lingqiao Liu; Chunhua Shen; Anton van den Hengel (ECCV (2), 2016)

Where to Focus: Query Adaptive Matching for Instance Retrieval Using Convolutional Feature Maps. - Jiewei Cao; Lingqiao Liu; Peng Wang 023; Zi Huang; Chunhua Shen; Heng Tao Shen (CoRR, 2016)

Hi Detector, What's Wrong with that Object? Identifying Irregular Object From Images by Modelling the Detection Score Distribution. - Peng Wang 023; Lingqiao Liu; Chunhua Shen; Anton van den Hengel; Heng Tao Shen (CoRR, 2016)

A Generalized Probabilistic Framework for Compact Codebook Creation. - Lingqiao Liu; Lei Wang 001; Chunhua Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data. - Luping Zhou; Lei Wang 001; Lingqiao Liu; Philip Ogunbona; Dinggang Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Weakly Supervised Semantic Segmentation Based on Co-segmentation. - Tong Shen; Guosheng Lin; Lingqiao Liu; Chunhua Shen; Ian Reid 001 (BMVC, 2017)

From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur. - Dong Gong; Jie Yang 002; Lingqiao Liu; Yanning Zhang 001; Ian D. Reid 001; Chunhua Shen; Anton van den Hengel; Qinfeng Shi (CVPR, 2017)

Sequential Person Recognition in Photo Albums with a Recurrent Network. - Yao Li 003; Guosheng Lin; Bohan Zhuang; Lingqiao Liu; Chunhua Shen; Anton van den Hengel (CVPR, 2017)

Graph-Structured Representations for Visual Question Answering. - Damien Teney; Lingqiao Liu; Anton van den Hengel (CVPR, 2017)

Multi-attention Network for One Shot Learning. - Peng Wang 023; Lingqiao Liu; Chunhua Shen; Zi Huang; Anton van den Hengel; Heng Tao Shen (CVPR, 2017)

Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning from Web Data. - Bohan Zhuang; Lingqiao Liu; Yao Li 003; Chunhua Shen; Ian D. Reid 001 (CVPR, 2017)

Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation. - Yu Chen 037; Chunhua Shen; Xiu-Shen Wei; Lingqiao Liu; Jian Yang 003 (ICCV, 2017)

Towards Context-Aware Interaction Recognition for Visual Relationship Detection. - Bohan Zhuang; Lingqiao Liu; Chunhua Shen; Ian D. Reid 001 (ICCV, 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 001; Michael Milford (ICRA, 2017)

Visually Aligned Word Embeddings for Improving Zero-shot Learning. - Ruizhi Qiao; Lingqiao Liu; Chunhua Shen; Anton van den Hengel (CoRR, 2017)

Towards Context-aware Interaction Recognition. - Bohan Zhuang; Lingqiao Liu; Chunhua Shen; Ian D. Reid 001 (CoRR, 2017)

Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization. - Yu Chen 037; Chunhua Shen; Xiu-Shen Wei; Lingqiao Liu; Jian Yang 003 (CoRR, 2017)

Mining Mid-level Visual Patterns with Deep CNN Activations. - Yao Li 003; Lingqiao Liu; Chunhua Shen; Anton van den Hengel (Int. J. Comput. Vis., 2017)

Cross-Convolutional-Layer Pooling for Image Recognition. - Lingqiao Liu; Chunhua Shen; Anton van den Hengel (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Compositional Model Based Fisher Vector Coding for Image Classification. - Lingqiao Liu; Peng Wang 023; Chunhua Shen; Lei Wang 001; Anton van den Hengel; Chao Wang 063; Heng Tao Shen (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Temporal Pyramid Pooling-Based Convolutional Neural Network for Action Recognition. - Peng Wang 023; Yuanzhouhan Cao; Chunhua Shen; Lingqiao Liu; Heng Tao Shen (IEEE Trans. Circuits Syst. Video Technol., 2017)

A Graph-Embedding Approach to Hierarchical Visual Word Mergence. - Lei Wang 001; Lingqiao Liu; Luping Zhou (IEEE Trans. Neural Networks Learn. Syst., 2017)

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 001 (ACCV (2), 2018)

Towards Effective Low-Bitwidth Convolutional Neural Networks. - Bohan Zhuang; Chunhua Shen; Mingkui Tan; Lingqiao Liu; Ian D. Reid 001 (CVPR, 2018)

Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal. - Jie Yang 002; Dong Gong; Lingqiao Liu; Qinfeng Shi (ECCV (3), 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)

A Generative Adversarial Density Estimator. - M. Ehsan Abbasnejad; Qinfeng Shi; Anton van den Hengel; Lingqiao Liu (CVPR, 2019)

Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation. - Bohan Zhuang; Chunhua Shen; Mingkui Tan; Lingqiao Liu; Ian D. Reid 001 (CVPR, 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 (ICCV, 2019)

Exploiting Stereo Sound Channels to Boost Performance of Neural Network-Based Music Transcription. - Xian Wang; Lingqiao Liu; Qinfeng Shi (ICMLA, 2019)

Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes. - Yu Liu 029; Lingqiao Liu; Seyed Hamid Rezatofighi; Thanh-Toan Do; Qinfeng Shi; Ian D. Reid 001 (CoRR, 2019)

RPC: A Large-Scale Retail Product Checkout Dataset. - Xiu-Shen Wei; Quan Cui; Lei Yang; Peng Wang 023; Lingqiao Liu (CoRR, 2019)

Training Quantized Network with Auxiliary Gradient Module. - Bohan Zhuang; Lingqiao Liu; Mingkui Tan; Chunhua Shen; Ian D. Reid 001 (CoRR, 2019)

In defense of OSVOS. - Yu Liu 029; Yutong Dai 001; Anh-Dzung Doan; Lingqiao Liu; Ian D. Reid 001 (CoRR, 2019)

Structured Binary Neural Networks for Image Recognition. - Bohan Zhuang; Chunhua Shen; Mingkui Tan; Lingqiao Liu; Ian D. Reid 001 (CoRR, 2019)

Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation. - Yu Liu 029; Lingqiao Liu; Haokui Zhang; Seyed Hamid Rezatofighi; Ian D. Reid 001 (CoRR, 2019)

Creating Auxiliary Representations from Charge Definitions for Criminal Charge Prediction. - Liangyi Kang; Jie Liu 008; Lingqiao Liu; Qinfeng Shi; Dan Ye 004 (CoRR, 2019)

DNNRE: A Dynamic Neural Network for Distant Supervised Relation Extraction. - Yanjie Gou; Yinjie Lei; Lingqiao Liu; Pingping Zhang; Jingyi Zhang; Xi Peng 001 (CoRR, 2019)

To Balance or Not to Balance: An Embarrassingly Simple Approach for Learning with Long-Tailed Distributions. - Junjie Zhang 002; Lingqiao Liu; Peng Wang 023; Chunhua Shen (CoRR, 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)

Order-aware convolutional pooling for video based action recognition. - Peng Wang 023; Lingqiao Liu; Chunhua Shen; Heng Tao Shen (Pattern Recognit., 2019)

Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples. - Xiu-Shen Wei; Peng Wang 023; Lingqiao Liu; Chunhua Shen; Jianxin Wu 001 (IEEE Trans. Image Process., 2019)

V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices. - Damien Teney; Peng Wang 023; Jiewei Cao; Lingqiao Liu; Chunhua Shen; Anton van den Hengel (AAAI, 2020)

Training Quantized Neural Networks With a Full-Precision Auxiliary Module. - Bohan Zhuang; Lingqiao Liu; Mingkui Tan; Chunhua Shen; Ian D. Reid 001 (CVPR, 2020)

Semi-supervised Crowd Counting via Self-training on Surrogate Tasks. - Yan Liu 015; Lingqiao Liu; Peng Wang 023; Pingping Zhang; Yinjie Lei (ECCV (15), 2020)

Harmonic Structure-Based Neural Network Model for Music Pitch Detection. - Xian Wang; Lingqiao Liu; Qinfeng Shi (ICMLA, 2020)

Enhancing Piano Transcription by Dilated Convolution. - Xian Wang; Lingqiao Liu; Qinfeng Shi (ICMLA, 2020)

Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation. - Yu Liu 029; Lingqiao Liu; Haokui Zhang; Hamid Rezatofighi; Qingsen Yan; Ian D. Reid 001 (IROS, 2020)

Medical Data Inquiry Using a Question Answering Model. - Zhibin Liao; Lingqiao Liu; Qi Wu 001; Damien Teney; Chunhua Shen; Anton van den Hengel; Johan Verjans (ISBI, 2020)

Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning. - Haokui Zhang; Yu Liu 029; Bei Fang; Ying Li 017; Lingqiao Liu; Ian D. Reid 001 (CoRR, 2020)

Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks. - Yan Liu 043; Lingqiao Liu; Peng Wang 023; Pingping Zhang; Yinjie Lei (CoRR, 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)

Adaptive Importance Learning for Improving Lightweight Image Super-Resolution Network. - Lei Zhang 054; Peng Wang 023; Chunhua Shen; Lingqiao Liu; Wei Wei 008; Yanning Zhang 001; Anton van den Hengel (Int. J. Comput. Vis., 2020)

A Dynamic Parameter Enhanced Network for distant supervised relation extraction. - Yanjie Gou; Yinjie Lei; Lingqiao Liu; Pingping Zhang; Xi Peng 001 (Knowl. Based Syst., 2020)

Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization. - Yu Chen 037; Chunhua Shen; Hao Chen 041; Xiu-Shen Wei; Lingqiao Liu; Jian Yang 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Mask-Aware Networks for Crowd Counting. - Shengqin Jiang; Xiaobo Lu; Yinjie Lei; Lingqiao Liu (IEEE Trans. Circuits Syst. Video Technol., 2020)

Towards Effective Deep Embedding for Zero-Shot Learning. - Lei Zhang 054; Peng Wang 023; Lingqiao Liu; Chunhua Shen; Wei Wei 008; Yanning Zhang 001; Anton van den Hengel (IEEE Trans. Circuits Syst. Video Technol., 2020)

Don't Miss the Labels: Label-semantic Augmented Meta-Learner for Few-Shot Text Classification. - Qiaoyang Luo; Lingqiao Liu; Yuhao Lin; Wei Zhang (ACL/IJCNLP (Findings), 2021)

Semi-supervised Learning via Conditional Rotation Angle Estimation. - Hai-Ming Xu; Lingqiao Liu; Dong Gong (DICTA, 2021)

Label Definitions Augmented Interaction Model for Legal Charge Prediction. - Liangyi Kang; Jie Liu 008; Lingqiao Liu; Dan Ye 004 (ECIR (1), 2021)

Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems. - Yanjie Gou; Yinjie Lei; Lingqiao Liu; Yong Dai 001; Chunxu Shen (EMNLP (1), 2021)

Center Prediction Loss for Re-identification. - Lu Yang 016; Yunlong Wang 008; Lingqiao Liu; Peng Wang 015; Lu Chi; Zehuan Yuan; Changhu Wang; Yanning Zhang 001 (CoRR, 2021)

CAT: Cross-Attention Transformer for One-Shot Object Detection. - Weidong Lin; Yuyan Deng; Yang Gao 001; Ning Wang 020; Jinghao Zhou; Lingqiao Liu; Lei Zhang 054; Peng Wang 015 (CoRR, 2021)

Exploring the auxiliary learning for long-tailed visual recognition. - Junjie Zhang 002; Lingqiao Liu; Peng Wang 023; Jian Zhang 002 (Neurocomputing, 2021)

Semi-supervised emotion recognition in textual conversation via a context-augmented auxiliary training task. - Liangyi Kang; Jie Liu 008; Lingqiao Liu; Zhiyang Zhou; Dan Ye 004 (Inf. Process. Manag., 2021)

Towards using count-level weak supervision for crowd counting. - Yinjie Lei; Yan Liu 015; Pingping Zhang; Lingqiao Liu (Pattern Recognit., 2021)

Boundarymix: Generating pseudo-training images for improving segmentation with scribble annotations. - Wanxuan Lu; Dong Gong; Kun Fu 001; Xian Sun; Wenhui Diao; Lingqiao Liu (Pattern Recognit., 2021)

Where to Look and How to Describe: Fashion Image Retrieval With an Attentional Heterogeneous Bilinear Network. - Haibo Su; Peng Wang 015; Lingqiao Liu; Hui Li 031; Zhen Li; Yanning Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation. - Duo Peng; Yinjie Lei; Lingqiao Liu; Pingping Zhang; Jun Liu 036 (IEEE Trans. Image Process., 2021)

Dual Decision Improves Open-Set Panoptic Segmentation. - Haiming Xu; Hao Chen 041; Lingqiao Liu; Yufei Yin (BMVC, 2022)

Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection. - Liang Chen; Yong Zhang 034; Yibing Song; Lingqiao Liu; Jue Wang 001 (CVPR, 2022)

Dynamically Transformed Instance Normalization Network for Generalizable Person Re-Identification. - Bingliang Jiao; Lingqiao Liu; Liying Gao; Guosheng Lin; Lu Yang 016; Shizhou Zhang; Peng Wang 015; Yanning Zhang 001 (ECCV (14), 2022)

Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-boosting Attention Mechanism. - Yangyang Shu; Baosheng Yu; Haiming Xu; Lingqiao Liu (ECCV (25), 2022)

Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-Identification. - Lu Yang 016; Hongbang Liu; Lingqiao Liu; Jinghao Zhou; Lei Zhang 054; Peng Wang 015; Yanning Zhang 001 (ICMR, 2022)

Progressive Class Semantic Matching for Semi-supervised Text Classification. - Hai-Ming Xu; Lingqiao Liu; Ehsan Abbasnejad (NAACL-HLT, 2022)

OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training. - Liang Chen; Yong Zhang 034; Yibing Song; Jue Wang 001; Lingqiao Liu (NeurIPS, 2022)

Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization. - Haiming Xu; Lingqiao Liu; Qiuchen Bian; Zhen Yang (NeurIPS, 2022)

RPC: a large-scale and fine-grained retail product checkout dataset. - Xiu-Shen Wei; Quan Cui; Lei Yang; Peng Wang 023; Lingqiao Liu; Jian Yang 003 (Sci. China Inf. Sci., 2022)

Multi-Domain Joint Training for Person Re-Identification. - Lu Yang 016; Lingqiao Liu; Yunlong Wang 008; Peng Wang 015; Yanning Zhang 001 (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)

Two-stage Decision Improves Open-Set Panoptic Segmentation. - Hai-Ming Xu; Hao Chen 041; Lingqiao Liu; Yufei Yin (CoRR, 2022)

Don't Stop Learning: Towards Continual Learning for the CLIP Model. - Yuxuan Ding; Lingqiao Liu; Chunna Tian; Jingyuan Yang 002; Haoxuan Ding (CoRR, 2022)

Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification. - Lin Wu 001; Lingqiao Liu; Yang Wang 023; Zheng Zhang 006; Farid Boussaïd; Mohammed Bennamoun (CoRR, 2022)

Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization. - Xizhe Xue; Dongdong Yu; Lingqiao Liu; Yu Liu 015; Ying Li 017; Zehuan Yuan; Ping Song; Mike Zheng Shou (CoRR, 2022)

Pretrained Language Encoders are Natural Tagging Frameworks for Aspect Sentiment Triplet Extraction. - Yanjie Gou; Yinjie Lei; Lingqiao Liu; Yong Dai 001; Chunxu Shen; Yongqi Tong (CoRR, 2022)

Regularizing Neural Network Training via Identity-wise Discriminative Feature Suppression. - Avraham Chapman; Lingqiao Liu (CoRR, 2022)

Generalizable Person Re-Identification via Viewpoint Alignment and Fusion. - Bingliang Jiao; Lingqiao Liu; Liying Gao; Guosheng Lin; Ruiqi Wu 001; Shizhou Zhang; Peng Wang 015; Yanning Zhang 001 (CoRR, 2022)

Structured Binary Neural Networks for Image Recognition. - Bohan Zhuang; Chunhua Shen; Mingkui Tan; Peng Chen 037; Lingqiao Liu; Ian Reid 001 (Int. J. Comput. Vis., 2022)

Effective Training of Convolutional Neural Networks With Low-Bitwidth Weights and Activations. - Bohan Zhuang; Mingkui Tan; Jing Liu 048; Lingqiao Liu; Ian Reid 001; Chunhua Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Privileged multi-task learning for attribute-aware aesthetic assessment. - Yangyang Shu; Qian Li 003; Lingqiao Liu; Guandong Xu (Pattern Recognit., 2022)

Center Prediction Loss for Re-identification. - Lu Yang 016; Yunlong Wang 008; Lingqiao Liu; Peng Wang 015; Yanning Zhang 001 (Pattern Recognit., 2022)

Computationally Efficient Dilated Convolutional Model for Melody Extraction. - Xian Wang; Lingqiao Liu; Javen Qinfeng Shi (IEEE Signal Process. Lett., 2022)

Feature Encoding With Autoencoders for Weakly Supervised Anomaly Detection. - Yingjie Zhou 001; Xucheng Song; Yanru Zhang; Fanxing Liu; Ce Zhu; Lingqiao Liu (IEEE Trans. Neural Networks Learn. Syst., 2022)

Zero-Shot Slot Filling with Slot-Prefix Prompting and Attention Relationship Descriptor. - Qiaoyang Luo; Lingqiao Liu (AAAI, 2023)

Improved Test-Time Adaptation for Domain Generalization. - Liang Chen; Yong Zhang 034; Yibing Song; Ying Shan; Lingqiao Liu (CVPR, 2023)

Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems. - Yangyang Shu; Anton van den Hengel; Lingqiao Liu (CVPR, 2023)

Learning Conditional Attributes for Compositional Zero-Shot Learning. - Qingsheng Wang; Lingqiao Liu; Chenchen Jing; Hao Chen 041; Guoqiang Liang 001; Peng Wang 015; Chunhua Shen (CVPR, 2023)

METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens. - Zhanyu Wang; Lingqiao Liu; Lei Wang 001; Luping Zhou (CVPR, 2023)

ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation. - Ziqin Zhou; Yinjie Lei; Bowen Zhang 009; Lingqiao Liu; Yifan Liu 001 (CVPR, 2023)

Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation. - Yuhao Lin; Haiming Xu; Lingqiao Liu; Jinan Zou; Javen Shi (DICTA, 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 001; Jennifer Foster; Yue Zhang 004 (EMNLP, 2023)

A Generative Approach for Comprehensive Financial Event Extraction at the Document Level. - Jinan Zou; Yanxi Liu 002; Yuankai Qi; Haiyao Cao; Lingqiao Liu; Javen Qinfeng Shi (ICAIF, 2023)

Domain Generalization via Rationale Invariance. - Liang Chen; Yong Zhang 034; Yibing Song; Anton van den Hengel; Lingqiao Liu (ICCV, 2023)

Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models. - Hai-Ming Xu; Lingqiao Liu; Hao Chen 041; Ehsan Abbasnejad; Rafael Felix (ICCV (Workshops), 2023)

Transformer-based Open-world Instance Segmentation with Cross-task Consistency Regularization. - Xizhe Xue; Dongdong Yu; Lingqiao Liu; Yu Liu 015; Satoshi Tsutsui; Ying Li 017; Zehuan Yuan; Ping Song; Mike Zheng Shou (ACM Multimedia, 2023)

The CLIP Model is Secretly an Image-to-Prompt Converter. - Yuxuan Ding; Chunna Tian; Haoxuan Ding; Lingqiao Liu (NeurIPS, 2023)

Toward Re-Identifying Any Animal. - Bingliang Jiao; Lingqiao Liu; Liying Gao; Ruiqi Wu 001; Guosheng Lin; Peng Wang 015; Yanning Zhang 001 (NeurIPS, 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 001; Jennifer Foster; Yue Zhang 004 (CoRR, 2023)

You Can Generate It Again: Data-to-text Generation with Verification and Correction Prompting. - Xuan Ren; Lingqiao Liu (CoRR, 2023)

R2GenGPT: Radiology Report Generation with Frozen LLMs. - Zhanyu Wang; Lingqiao Liu; Lei Wang 001; Luping Zhou (CoRR, 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 001; Leyang Cui; Zhaopeng Tu; Longyue Wang; Luping Zhou (CoRR, 2023)

Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification. - Lin Wu 001; Lingqiao Liu; Yang Wang 023; Zheng Zhang 006; Farid Boussaïd; Mohammed Bennamoun; Xianghua Xie (IEEE Trans. Image Process., 2023)

Balanced image captioning with task-aware decoupled learning and fusion. - Yuxuan Ding; Lingqiao Liu; Chunna Tian; Xiangnan Zhang; Xilan Tian (Neurocomputing, 2023)

Verbal-Person Nets: Pose-Guided Multi-Granularity Language-to-Person Generation. - Deyin Liu; Lin Wu 001; Feng Zheng; Lingqiao Liu; Meng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Semantic Role Labeling Guided Out-of-distribution Detection. - Jinan Zou; Maihao Guo; Yu Tian 001; Yuhao Lin; Haiyao Cao; Lingqiao Liu; Ehsan Abbasnejad; Javen Qinfeng Shi (LREC/COLING, 2024)

Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-Training Framework. - Vu Minh Hieu Phan; Yutong Xie 001; Yuankai Qi; Lingqiao Liu; Liyang Liu; Bowen Zhang 009; Zhibin Liao; Qi Wu 001; Minh-Son To; Johan W. Verjans (CVPR, 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 (CVPR, 2024)

Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization. - Avraham Chapman; Haiming Xu; Lingqiao Liu (DICTA, 2024)

Improving Online Source-Free Domain Adaptation for Object Detection by Unsupervised Data Acquisition. - Xiangyu Shi; Yanyuan Qiao; Qi Wu 001; Lingqiao Liu; Feras Dayoub (ECCV Workshops (7), 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 001 (ECCV (89), 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 006; Lingqiao Liu (EMNLP, 2024)

KARGEN: Knowledge-Enhanced Automated Radiology Report Generation Using Large Language Models. - Yingshu Li; Zhanyu Wang; Yunyi Liu; Lei Wang 001; Lingqiao Liu; Luping Zhou (MICCAI (5), 2024)

MRScore: Evaluating Medical Report with LLM-Based Reward System. - Yunyi Liu; Zhanyu Wang; Yingshu Li; Xinyu Liang; Lingqiao Liu; Lei Wang 001; Luping Zhou (MICCAI (3), 2024)

LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization. - Liang Chen; Yong Zhang 034; Yibing Song; Zhiqiang Shen; Lingqiao Liu (NeurIPS, 2024)

Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale. - Yangyang Shu; Xiaofeng Cao; Qi Chen 014; Bowen Zhang 009; Ziqin Zhou; Anton van den Hengel; Lingqiao Liu (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 006; 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 001; Luping Zhou (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)

Add-SD: Rational Generation without Manual Reference. - Lingfeng Yang; Xinyu Zhang 017; Xiang Li 041; Jinwen Chen; Kun Yao; Gang Zhang; Errui Ding; Lingqiao Liu; Jingdong Wang 001; Jian Yang 003 (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)

Effective Tuning Strategies for Generalist Robot Manipulation Policies. - Wenbo Zhang; Yang Li; Yanyuan Qiao; Siyuan Huang 004; Jiajun Liu; Feras Dayoub; Xiao Ma; Lingqiao Liu (CoRR, 2024)

ER2Score: LLM-based Explainable and Customizable Metric for Assessing Radiology Reports with Reward-Control Loss. - Yunyi Liu; Yingshu Li; Zhanyu Wang; Xinyu Liang; Lingqiao Liu; Lei Wang 001; Luping Zhou (CoRR, 2024)

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition. - ShuaiHeng Li; Qing Cai; Fan Zhang; Menghuan Zhang; Yangyang Shu; Zhi Liu; Huafeng Li; Lingqiao Liu (CoRR, 2024)

Categorical Keypoint Positional Embedding for Robust Animal Re-Identification. - Yuhao Lin; Lingqiao Liu; Javen Shi (CoRR, 2024)

Semi-Supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment. - Yangyang Shu; Qian Li 003; Lingqiao Liu; Guandong Xu (IEEE Trans. Multim., 2024)

ReFs: A hybrid pre-training paradigm for 3D medical image segmentation. - Yutong Xie 001; Jianpeng Zhang; Lingqiao Liu; Hu Wang 005; Yiwen Ye; Johan Verjans; Yong Xia 001 (Medical Image Anal., 2024)

CAT: A Simple yet Effective Cross-Attention Transformer for One-Shot Object Detection. - Weidong Lin; Yuyan Deng; Yang Gao 001; Ning Wang 020; Lingqiao Liu; Lei Zhang 054; Peng Wang 015 (J. Comput. Sci. Technol., 2024)

A Causal Inspired Early-Branching Structure for Domain Generalization. - Liang Chen; Yong Zhang 034; Yibing Song; Zhen Zhang 008; Lingqiao Liu (Int. J. Comput. Vis., 2024)

Enhancing Close-up Novel View Synthesis via Pseudo-labeling. - Jiatong Xia; Libo Sun; Lingqiao Liu (AAAI, 2025)

Attention-Driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models Without Fine-Tuning. - Hai-Ming Xu; Qi Chen 014; Lei Wang 001; Lingqiao Liu (AAAI, 2025)

A Simple-but-Effective Baseline for Training-Free Class-Agnostic Counting. - Yuhao Lin; Haiming Xu; Lingqiao Liu; Javen Qinfeng Shi (WACV, 2025)

Generalizable Person Re-Identification From a 3D Perspective: Addressing Unpredictable Viewpoint Changes. - Bingliang Jiao; Lingqiao Liu; Liying Gao; Dapeng Oliver Wu; Guosheng Lin; Peng Wang 015; Yanning Zhang 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Seeing Beyond Labels: Source-Free Domain Adaptation via Hypothesis Consolidation of Prediction Rationale. - Yangyang Shu; Yuhang Liu 002; Xiaofeng Cao; Qi Chen 014; Bowen Zhang 009; Ziqin Zhou; Anton van den Hengel; Lingqiao Liu (Trans. Mach. Learn. Res., 2025)

Training-Free Motion-Guided Video Generation with Enhanced Temporal Consistency Using Motion Consistency Loss. - Xinyu Zhang 017; Zicheng Duan; Dong Gong; Lingqiao Liu (CoRR, 2025)

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models. - Ankit Yadav; Lingqiao Liu; Yuankai Qi (CoRR, 2025)

Efficient Response Generation Method Selection for Fine-Tuning Large Language Models. - Xuan Ren; Qi Chen 014; Lingqiao Liu (CoRR, 2025)

Close-up-GS: Enhancing Close-Up View Synthesis in 3D Gaussian Splatting with Progressive Self-Training. - Jiatong Xia; Lingqiao Liu (CoRR, 2025)

HiTVideo: Hierarchical Tokenizers for Enhancing Text-to-Video Generation with Autoregressive Large Language Models. - Ziqin Zhou; Yifan Yang 004; Yuqing Yang 001; Tianyu He; Houwen Peng; Kai Qiu; Qi Dai 001; Lili Qiu; Chong Luo; Lingqiao Liu (CoRR, 2025)

Chain-of-Action: Trajectory Autoregressive Modeling for Robotic Manipulation. - Wenbo Zhang; Tianrun Hu; Yanyuan Qiao; Hanbo Zhang; Yuchu Qin; Yang Li; Jiajun Liu; Tao Kong; Lingqiao Liu; Xiao Ma (CoRR, 2025)

Let Your Video Listen to Your Music! - Xinyu Zhang 017; Dong Gong; Zicheng Duan; Anton van den Hengel; Lingqiao Liu (CoRR, 2025)

Embodied Domain Adaptation for Object Detection. - Xiangyu Shi; Yanyuan Qiao; Lingqiao Liu; Feras Dayoub (CoRR, 2025)

One Last Attention for Your Vision-Language Model. - Liang Chen; Ghazi Shazan Ahmad; Tianjun Yao; Lingqiao Liu; Zhiqiang Shen (CoRR, 2025)

S-RRG-Bench: Structured Radiology Report Generation with Fine-Grained Evaluation Framework. - Yingshu Li; Yunyi Liu; Zhanyu Wang; Xinyu Liang; Lingqiao Liu; Lei Wang 001; Luping Zhou (CoRR, 2025)

RadReason: Radiology Report Evaluation Metric with Reasons and Sub-Scores. - Yingshu Li; Yunyi Liu; Lingqiao Liu; Lei Wang 001; Luping Zhou (CoRR, 2025)

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 041; Guoqiang Liang 001; Peng Wang 015 (IEEE Trans. Neural Networks Learn. Syst., 2025)