Lingqiao Liu

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 177

Top Venues

CoRR

CVPR

Pattern Recognit.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Yutong Xie, Jianpeng Zhang, Lingqiao Liu, Hu Wang, Yiwen Ye, Johan Verjans, Yong Xia
ReFs: A hybrid pre-training paradigm for 3D medical image segmentation. Medical Image Anal. 91 (2024)
Yuhao Lin, Haiming Xu, Lingqiao Liu, Javen Qinfeng Shi
A Simple-but-effective Baseline for Training-free Class-Agnostic Counting. CoRR (2024)
Yangyang Shu, Xiaofeng Cao, Qi Chen, Bowen Zhang, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu
Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale. CoRR (2024)
Zihu Wang, Lingqiao Liu, Scott Ricardo Figueroa Weston, Samuel Tian, Peng Li
On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition. CoRR (2024)
Yunyi Liu, Zhanyu Wang, Yingshu Li, Xinyu Liang, Lingqiao Liu, Lei Wang, Luping Zhou
MRScore: Evaluating Radiology Report Generation with LLM-based Reward System. CoRR (2024)
Liang Chen, Yong Zhang, Yibing Song, Zhen Zhang, Lingqiao Liu
A Causal Inspired Early-Branching Structure for Domain Generalization. CoRR (2024)
Jinan Zou, Maihao Guo, Yu Tian, Yuhao Lin, Haiyao Cao, Lingqiao Liu, Ehsan Abbasnejad, Javen Qinfeng Shi
Semantic Role Labeling Guided Out-of-distribution Detection. LREC/COLING (2024)
Yangyang Shu, Haiming Xu, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu
MuseBarControl: Enhancing Fine-Grained Control in Symbolic Music Generation through Pre-Training and Counterfactual Loss. CoRR (2024)
Weidong Lin, Yuyan Deng, Yang Gao, Ning Wang, Lingqiao Liu, Lei Zhang, Peng Wang
CAT: A Simple yet Effective Cross-Attention Transformer for One-Shot Object Detection. J. Comput. Sci. Technol. 39 (2) (2024)
Lingfeng Yang, Xinyu Zhang, Xiang Li, Jinwen Chen, Kun Yao, Gang Zhang, Errui Ding, Lingqiao Liu, Jingdong Wang, Jian Yang
Add-SD: Rational Generation without Manual Reference. CoRR (2024)
Xuan Ren, Biao Wu, Lingqiao Liu
I Learn Better If You Speak My Language: Enhancing Large Language Model Fine-Tuning with Style-Aligned Response Adjustments. CoRR (2024)
Yukun Li, Guansong Pang, Wei Suo, Chenchen Jing, Yuling Xi, Lingqiao Liu, Hao Chen, Guoqiang Liang, Peng Wang
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning. CoRR (2024)
Vu Minh Hieu Phan, Yutong Xie, Yuankai Qi, Lingqiao Liu, Liyang Liu, Bowen Zhang, Zhibin Liao, Qi Wu, Minh-Son To, Johan W. Verjans
Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework. CoRR (2024)
Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu
Semi-Supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment. IEEE Trans. Multim. 26 (2024)
Liang Chen, Yong Zhang, Yibing Song, Ying Shan, Lingqiao Liu
Improved Test-Time Adaptation for Domain Generalization. CVPR (2023)
Qingsheng Wang, Lingqiao Liu, Chenchen Jing, Hao Chen, Guoqiang Liang, Peng Wang, Chunhua Shen
Learning Conditional Attributes for Compositional Zero-Shot Learning. CoRR (2023)
Qiaoyang Luo, Lingqiao Liu
Zero-Shot Slot Filling with Slot-Prefix Prompting and Attention Relationship Descriptor. AAAI (2023)
Yangyang Shu, Anton van den Hengel, Lingqiao Liu
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems. CVPR (2023)
Yuhao Lin, Haiming Xu, Lingqiao Liu, Jinan Zou, Javen Shi
Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation. DICTA (2023)
Bingliang Jiao, Lingqiao Liu, Liying Gao, Ruiqi Wu, Guosheng Lin, Peng Wang, Yanning Zhang
Toward Re-Identifying Any Animal. NeurIPS (2023)
Jinan Zou, Yanxi Liu, Yuankai Qi, Haiyao Cao, Lingqiao Liu, Javen Qinfeng Shi
A Generative Approach for Comprehensive Financial Event Extraction at the Document Level. ICAIF (2023)
Jinan Zou, Maihao Guo, Yu Tian, Yuhao Lin, Haiyao Cao, Lingqiao Liu, Ehsan Abbasnejad, Javen Qinfeng Shi
Semantic Role Labeling Guided Out-of-distribution Detection. CoRR (2023)
Qingsheng Wang, Lingqiao Liu, Chenchen Jing, Hao Chen, Guoqiang Liang, Peng Wang, Chunhua Shen
Learning Conditional Attributes for Compositional Zero-Shot Learning. CVPR (2023)
Yuhao Lin, Haiming Xu, Lingqiao Liu, Jinan Zou, Javen Qinfeng Shi
Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation. CoRR (2023)
Linyi Yang, Yaoxiao Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future. CoRR (2023)
Liang Chen, Yong Zhang, Yibing Song, Anton van den Hengel, Lingqiao Liu
Domain Generalization via Rationale Invariance. ICCV (2023)
Ziqin Zhou, Yinjie Lei, Bowen Zhang, Lingqiao Liu, Yifan Liu
ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation. CVPR (2023)
Liang Chen, Yong Zhang, Yibing Song, Ying Shan, Lingqiao Liu
Improved Test-Time Adaptation for Domain Generalization. CoRR (2023)
Xiangyu Shi, Yanyuan Qiao, Qi Wu, Lingqiao Liu, Feras Dayoub
Improving Online Source-free Domain Adaptation for Object Detection by Unsupervised Data Acquisition. CoRR (2023)
Yuxuan Ding, Chunna Tian, Haoxuan Ding, Lingqiao Liu
The CLIP Model is Secretly an Image-to-Prompt Converter. CoRR (2023)
Hai-Ming Xu, Lingqiao Liu, Hao Chen, Ehsan Abbasnejad, Rafael Felix
Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models. CoRR (2023)
Yingshu Li, Yunyi Liu, Zhanyu Wang, Xinyu Liang, Lingqiao Liu, Lei Wang, Leyang Cui, Zhaopeng Tu, Longyue Wang, Luping Zhou
A Comprehensive Study of GPT-4V's Multimodal Capabilities in Medical Imaging. CoRR (2023)
Deyin Liu, Lin Wu, Feng Zheng, Lingqiao Liu, Meng Wang
Verbal-Person Nets: Pose-Guided Multi-Granularity Language-to-Person Generation. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Yangyang Shu, Anton van den Hengel, Lingqiao Liu
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems. CoRR (2023)
Liang Chen, Yong Zhang, Yibing Song, Anton van den Hengel, Lingqiao Liu
Domain Generalization via Rationale Invariance. CoRR (2023)
Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou
METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens. CVPR (2023)
Xuan Ren, Lingqiao Liu
You Can Generate It Again: Data-to-text Generation with Verification and Correction Prompting. CoRR (2023)
Xizhe Xue, Dongdong Yu, Lingqiao Liu, Yu Liu, Satoshi Tsutsui, Ying Li, Zehuan Yuan, Ping Song, Mike Zheng Shou
Transformer-based Open-world Instance Segmentation with Cross-task Consistency Regularization. ACM Multimedia (2023)
Lin Wu, Lingqiao Liu, Yang Wang, Zheng Zhang, Farid Boussaïd, Mohammed Bennamoun, Xianghua Xie
Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification. IEEE Trans. Image Process. 32 (2023)
Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou
METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens. CoRR (2023)
Linyi Yang, Yaoxian Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Jingming Zhuo, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang
Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future. EMNLP (2023)
Yuxuan Ding, Chunna Tian, Haoxuan Ding, Lingqiao Liu
The CLIP Model is Secretly an Image-to-Prompt Converter. NeurIPS (2023)
Hai-Ming Xu, Lingqiao Liu, Hao Chen, Ehsan Abbasnejad, Rafael Felix
Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models. ICCV (Workshops) (2023)
Yuxuan Ding, Lingqiao Liu, Chunna Tian, Xiangnan Zhang, Xilan Tian
Balanced image captioning with task-aware decoupled learning and fusion. Neurocomputing 538 (2023)
Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou
R2GenGPT: Radiology Report Generation with Frozen LLMs. CoRR (2023)
Haiming Xu, Lingqiao Liu, Qiuchen Bian, Zhen Yang
Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization. NeurIPS (2022)
Xizhe Xue, Dongdong Yu, Lingqiao Liu, Yu Liu, Ying Li, Zehuan Yuan, Ping Song, Mike Zheng Shou
Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization. CoRR (2022)
Liang Chen, Yong Zhang, Yibing Song, Lingqiao Liu, Jue Wang
Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection. CVPR (2022)
Xiu-Shen Wei, Quan Cui, Lei Yang, Peng Wang, Lingqiao Liu, Jian Yang
RPC: a large-scale and fine-grained retail product checkout dataset. Sci. China Inf. Sci. 65 (9) (2022)
Hai-Ming Xu, Lingqiao Liu, Qiuchen Bian, Zhen Yang
Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization. CoRR (2022)
Lu Yang, Lingqiao Liu, Yunlong Wang, Peng Wang, Yanning Zhang
Multi-Domain Joint Training for Person Re-Identification. CoRR (2022)
Yangyang Shu, Baosheng Yu, Haiming Xu, Lingqiao Liu
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-boosting Attention Mechanism. ECCV (25) (2022)
Yuxuan Ding, Lingqiao Liu, Chunna Tian, Jingyuan Yang, Haoxuan Ding
Don't Stop Learning: Towards Continual Learning for the CLIP Model. CoRR (2022)
Bingliang Jiao, Lingqiao Liu, Liying Gao, Guosheng Lin, Lu Yang, Shizhou Zhang, Peng Wang, Yanning Zhang
Dynamically Transformed Instance Normalization Network for Generalizable Person Re-Identification. ECCV (14) (2022)
Yingjie Zhou, Xucheng Song, Yanru Zhang, Fanxing Liu, Ce Zhu, Lingqiao Liu
Feature Encoding With Autoencoders for Weakly Supervised Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Bingliang Jiao, Lingqiao Liu, Liying Gao, Guosheng Lin, Ruiqi Wu, Shizhou Zhang, Peng Wang, Yanning Zhang
Generalizable Person Re-Identification via Viewpoint Alignment and Fusion. CoRR (2022)
Hai-Ming Xu, Lingqiao Liu, Ehsan Abbasnejad
Progressive Class Semantic Matching for Semi-supervised Text Classification. NAACL-HLT (2022)
Yanjie Gou, Yinjie Lei, Lingqiao Liu, Yong Dai, Chunxu Shen, Yongqi Tong
Pretrained Language Encoders are Natural Tagging Frameworks for Aspect Sentiment Triplet Extraction. CoRR (2022)
Lin Wu, Lingqiao Liu, Yang Wang, Zheng Zhang, Farid Boussaïd, Mohammed Bennamoun
Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification. CoRR (2022)
Hai-Ming Xu, Hao Chen, Lingqiao Liu, Yufei Yin
Two-stage Decision Improves Open-Set Panoptic Segmentation. CoRR (2022)
Liang Chen, Yong Zhang, Yibing Song, Lingqiao Liu, Jue Wang
Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection. CoRR (2022)
Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu
Privileged multi-task learning for attribute-aware aesthetic assessment. Pattern Recognit. 132 (2022)
Hai-Ming Xu, Lingqiao Liu, Ehsan Abbasnejad
Progressive Class Semantic Matching for Semi-supervised Text Classification. CoRR (2022)
Jinan Zou, Haiyao Cao, Lingqiao Liu, Yuhao Lin, Ehsan Abbasnejad, Javen Qinfeng Shi
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model. CoRR (2022)
Bohan Zhuang, Mingkui Tan, Jing Liu, Lingqiao Liu, Ian Reid, Chunhua Shen
Effective Training of Convolutional Neural Networks With Low-Bitwidth Weights and Activations. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Lu Yang, Hongbang Liu, Lingqiao Liu, Jinghao Zhou, Lei Zhang, Peng Wang, Yanning Zhang
Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-Identification. ICMR (2022)
Ziqin Zhou, Bowen Zhang, Yinjie Lei, Lingqiao Liu, Yifan Liu
ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation. CoRR (2022)
Lu Yang, Yunlong Wang, Lingqiao Liu, Peng Wang, Yanning Zhang
Center Prediction Loss for Re-identification. Pattern Recognit. 132 (2022)
Haiming Xu, Hao Chen, Lingqiao Liu, Yufei Yin
Dual Decision Improves Open-Set Panoptic Segmentation. BMVC (2022)
Avraham Chapman, Lingqiao Liu
Regularizing Neural Network Training via Identity-wise Discriminative Feature Suppression. CoRR (2022)
Yangyang Shu, Baosheng Yu, Hai-Ming Xu, Lingqiao Liu
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism. CoRR (2022)
Liang Chen, Yong Zhang, Yibing Song, Jue Wang, Lingqiao Liu
OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training. NeurIPS (2022)
Bohan Zhuang, Chunhua Shen, Mingkui Tan, Peng Chen, Lingqiao Liu, Ian Reid
Structured Binary Neural Networks for Image Recognition. Int. J. Comput. Vis. 130 (9) (2022)
Xian Wang, Lingqiao Liu, Javen Qinfeng Shi
Computationally Efficient Dilated Convolutional Model for Melody Extraction. IEEE Signal Process. Lett. 29 (2022)
Duo Peng, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Jun Liu
Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation. IEEE Trans. Image Process. 30 (2021)
Yingjie Zhou, Xucheng Song, Yanru Zhang, Fanxing Liu, Ce Zhu, Lingqiao Liu
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection. CoRR (2021)
Lu Yang, Yunlong Wang, Lingqiao Liu, Peng Wang, Lu Chi, Zehuan Yuan, Changhu Wang, Yanning Zhang
Center Prediction Loss for Re-identification. CoRR (2021)
Yinjie Lei, Yan Liu, Pingping Zhang, Lingqiao Liu
Towards using count-level weak supervision for crowd counting. Pattern Recognit. 109 (2021)
Qiaoyang Luo, Lingqiao Liu, Yuhao Lin, Wei Zhang
Don't Miss the Labels: Label-semantic Augmented Meta-Learner for Few-Shot Text Classification. ACL/IJCNLP (Findings) (2021)
Lu Yang, Hongbang Liu, Jinghao Zhou, Lingqiao Liu, Lei Zhang, Peng Wang, Yanning Zhang
Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-Identification. CoRR (2021)
Junjie Zhang, Lingqiao Liu, Peng Wang, Jian Zhang
Exploring the auxiliary learning for long-tailed visual recognition. Neurocomputing 449 (2021)
Hai-Ming Xu, Lingqiao Liu, Dong Gong
Semi-supervised Learning via Conditional Rotation Angle Estimation. DICTA (2021)
Liangyi Kang, Jie Liu, Lingqiao Liu, Zhiyang Zhou, Dan Ye
Semi-supervised emotion recognition in textual conversation via a context-augmented auxiliary training task. Inf. Process. Manag. 58 (6) (2021)
Wanxuan Lu, Dong Gong, Kun Fu, Xian Sun, Wenhui Diao, Lingqiao Liu
Boundarymix: Generating pseudo-training images for improving segmentation with scribble annotations. Pattern Recognit. 117 (2021)
Weidong Lin, Yuyan Deng, Yang Gao, Ning Wang, Jinghao Zhou, Lingqiao Liu, Lei Zhang, Peng Wang
CAT: Cross-Attention Transformer for One-Shot Object Detection. CoRR (2021)
Liangyi Kang, Jie Liu, Lingqiao Liu, Dan Ye
Label Definitions Augmented Interaction Model for Legal Charge Prediction. ECIR (1) (2021)
Haibo Su, Peng Wang, Lingqiao Liu, Hui Li, Zhen Li, Yanning Zhang
Where to Look and How to Describe: Fashion Image Retrieval With an Attentional Heterogeneous Bilinear Network. IEEE Trans. Circuits Syst. Video Technol. 31 (8) (2021)
Yanjie Gou, Yinjie Lei, Lingqiao Liu, Yong Dai, Chunxu Shen
Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems. EMNLP (1) (2021)
Duo Peng, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Jun Liu
Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation. CoRR (2021)
Yu Liu, Lingqiao Liu, Haokui Zhang, Hamid Rezatofighi, Qingsen Yan, Ian D. Reid
Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation. IROS (2020)
Yu Chen, Chunhua Shen, Hao Chen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang
Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization. IEEE Trans. Pattern Anal. Mach. Intell. 42 (7) (2020)
Xian Wang, Lingqiao Liu, Qinfeng Shi
Harmonic Structure-Based Neural Network Model for Music Pitch Detection. ICMLA (2020)
Shengqin Jiang, Xiaobo Lu, Yinjie Lei, Lingqiao Liu
Mask-Aware Networks for Crowd Counting. IEEE Trans. Circuits Syst. Video Technol. 30 (9) (2020)
Zhibin Liao, Lingqiao Liu, Qi Wu, Damien Teney, Chunhua Shen, Anton van den Hengel, Johan Verjans
Medical Data Inquiry Using a Question Answering Model. ISBI (2020)
M. Ehsan Abbasnejad, Javen Shi, Anton van den Hengel, Lingqiao Liu
GADE: A Generative Adversarial Approach to Density Estimation and its Applications. Int. J. Comput. Vis. 128 (10) (2020)
Lei Zhang, Peng Wang, Chunhua Shen, Lingqiao Liu, Wei Wei, Yanning Zhang, Anton van den Hengel
Adaptive Importance Learning for Improving Lightweight Image Super-Resolution Network. Int. J. Comput. Vis. 128 (2) (2020)
Hai-Ming Xu, Lingqiao Liu, Dong Gong
Semi-supervised Learning via Conditional Rotation Angle Estimation. CoRR (2020)
Xian Wang, Lingqiao Liu, Qinfeng Shi
Enhancing Piano Transcription by Dilated Convolution. ICMLA (2020)
Haokui Zhang, Yu Liu, Bei Fang, Ying Li, Lingqiao Liu, Ian D. Reid
Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning. CoRR (2020)
Yan Liu, Lingqiao Liu, Peng Wang, Pingping Zhang, Yinjie Lei
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lingqiao Liu