| 2026 | AAAI | ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation. | Yunyi Liu, Yingshu Li, Zhanyu Wang, Xinyu Liang, Lingqiao Liu, Lei Wang, Luping Zhou |
| 2026 | AAAI | HiTVideo: Hierarchical Tokenizers for Enhancing Text-to-Video Generation with Autoregressive Large Language Models. | Ziqin Zhou, Yifan Yang, Yuqing Yang, Tianyu He, Houwen Peng, Kai Qiu, Qi Dai, Lili Qiu, Chong Luo, Lingqiao Liu |
| 2026 | WACV | Revisiting Vision-Language Foundations for No-Reference Image Quality Assessment. | Ankit Yadav, Ta Duc Huy, Lingqiao Liu |
| 2026 | WACV | MoSCo: Real-time and Efficient Text-to-Motion Synthesis via Delta Training. | Zhiyuan Zhang, Lingqiao Liu |
| 2025 | AAAI | Enhancing Close-up Novel View Synthesis via Pseudo-labeling. | Jiatong Xia, Libo Sun, Lingqiao Liu |
| 2025 | AAAI | Attention-Driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models Without Fine-Tuning. | Hai-Ming Xu, Qi Chen, Lei Wang, Lingqiao Liu |
| 2025 | DICTA | Evaluating Forgetting in Pretrained Robotic Policy Networks: A Continual Learning Study with Octo. | Yu Ding, Lingqiao Liu, Peng Wang, Lei Wang |
| 2025 | DICTA | Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models. | Ankit Yadav, Lingqiao Liu, Yuankai Qi |
| 2025 | EMNLP | Efficiently Selecting Response Generation Strategies for Synthetic Data Construction by Self-Aligned Perplexity. | Xuan Ren, Qi Chen, Lingqiao Liu |
| 2025 | ICCV | One Last Attention for Your Vision-Language Model. | Liang Chen, Ghazi Shazan Ahmad, Tianjun Yao, Lingqiao Liu, Zhiqiang Shen |
| 2025 | IROS | Embodied Domain Adaptation for Object Detection. | Xiangyu Shi, Yanyuan Qiao, Lingqiao Liu, Feras Dayoub |
| 2025 | ICRA | Effective Tuning Strategies for Generalist Robot Manipulation Policies. | Wenbo Zhang, Yang Li, Yanyuan Qiao, Siyuan Huang, Jiajun Liu, Feras Dayoub, Xiao Ma, Lingqiao Liu |
| 2025 | MICCAI | PedCLIP: A Vision-Language Model for Pediatric X-Rays with Mixture of Body Part Experts. | Ta Duc Huy, Abin Shoby, Sen Kim Tran, Yutong Xie, Qi Chen, Phi Le Nguyen, Akshay Gole, Lingqiao Liu, Antonios Perperidis, Mark Friswell, Rebecca Linke, Andrea Glynn, Minh-Son To, Anton van den Hengel, Johan Verjans, Zhibin Liao, Minh Hieu Phan |
| 2025 | WACV | A Simple-but-Effective Baseline for Training-Free Class-Agnostic Counting. | Yuhao Lin, Haiming Xu, Lingqiao Liu, Javen Qinfeng Shi |
| 2025 | SiggraphA | Training-Free Instance-Aware 3D Scene Reconstruction and Diffusion-Based View Synthesis from Sparse Images. | Jiatong Xia, Lingqiao Liu |
| 2024 | COLING | 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 |
| 2024 | CVPR | 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 |
| 2024 | CVPR | 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 |
| 2024 | DICTA | Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization. | Avraham Chapman, Haiming Xu, Lingqiao Liu |
| 2024 | ECCV | Improving Online Source-Free Domain Adaptation for Object Detection by Unsupervised Data Acquisition. | Xiangyu Shi, Yanyuan Qiao, Qi Wu, Lingqiao Liu, Feras Dayoub |
| 2024 | ECCV | 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 |
| 2024 | EMNLP | 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 |
| 2024 | MICCAI | MRScore: Evaluating Medical Report with LLM-Based Reward System. | Yunyi Liu, Zhanyu Wang, Yingshu Li, Xinyu Liang, Lingqiao Liu, Lei Wang, Luping Zhou |
| 2024 | MICCAI | KARGEN: Knowledge-Enhanced Automated Radiology Report Generation Using Large Language Models. | Yingshu Li, Zhanyu Wang, Yunyi Liu, Lei Wang, Lingqiao Liu, Luping Zhou |
| 2023 | AAAI | Zero-Shot Slot Filling with Slot-Prefix Prompting and Attention Relationship Descriptor. | Qiaoyang Luo, Lingqiao Liu |
| 2023 | CVPR | Improved Test-Time Adaptation for Domain Generalization. | Liang Chen, Yong Zhang, Yibing Song, Ying Shan, Lingqiao Liu |
| 2023 | CVPR | Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems. | Yangyang Shu, Anton van den Hengel, Lingqiao Liu |
| 2023 | CVPR | Learning Conditional Attributes for Compositional Zero-Shot Learning. | Qingsheng Wang, Lingqiao Liu, Chenchen Jing, Hao Chen, Guoqiang Liang, Peng Wang, Chunhua Shen |
| 2023 | CVPR | METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens. | Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou |
| 2023 | CVPR | ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation. | Ziqin Zhou, Yinjie Lei, Bowen Zhang, Lingqiao Liu, Yifan Liu |
| 2023 | DICTA | Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation. | Yuhao Lin, Haiming Xu, Lingqiao Liu, Jinan Zou, Javen Shi |
| 2023 | EMNLP | 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 |
| 2023 | ICCV | Domain Generalization via Rationale Invariance. | Liang Chen, Yong Zhang, Yibing Song, Anton van den Hengel, Lingqiao Liu |
| 2022 | BMVC | Dual Decision Improves Open-Set Panoptic Segmentation. | Haiming Xu, Hao Chen, Lingqiao Liu, Yufei Yin |
| 2022 | CVPR | Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection. | Liang Chen, Yong Zhang, Yibing Song, Lingqiao Liu, Jue Wang |
| 2022 | ECCV | 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 |
| 2022 | ECCV | Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-boosting Attention Mechanism. | Yangyang Shu, Baosheng Yu, Haiming Xu, Lingqiao Liu |
| 2022 | NAACL | Progressive Class Semantic Matching for Semi-supervised Text Classification. | Hai-Ming Xu, Lingqiao Liu, Ehsan Abbasnejad |
| 2021 | ACL | Don't Miss the Labels: Label-semantic Augmented Meta-Learner for Few-Shot Text Classification. | Qiaoyang Luo, Lingqiao Liu, Yuhao Lin, Wei Zhang |
| 2021 | DICTA | Semi-supervised Learning via Conditional Rotation Angle Estimation. | Hai-Ming Xu, Lingqiao Liu, Dong Gong |
| 2021 | ECIR | Label Definitions Augmented Interaction Model for Legal Charge Prediction. | Liangyi Kang, Jie Liu, Lingqiao Liu, Dan Ye |
| 2021 | EMNLP | Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems. | Yanjie Gou, Yinjie Lei, Lingqiao Liu, Yong Dai, Chunxu Shen |
| 2020 | AAAI | 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 |
| 2020 | CVPR | Training Quantized Neural Networks With a Full-Precision Auxiliary Module. | Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid |
| 2020 | ECCV | Semi-supervised Crowd Counting via Self-training on Surrogate Tasks. | Yan Liu, Lingqiao Liu, Peng Wang, Pingping Zhang, Yinjie Lei |
| 2020 | ICMLA | Harmonic Structure-Based Neural Network Model for Music Pitch Detection. | Xian Wang, Lingqiao Liu, Qinfeng Shi |
| 2020 | ICMLA | Enhancing Piano Transcription by Dilated Convolution. | Xian Wang, Lingqiao Liu, Qinfeng Shi |
| 2020 | IROS | 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 |
| 2019 | CVPR | A Generative Adversarial Density Estimator. | M. Ehsan Abbasnejad, Qinfeng Shi, Anton van den Hengel, Lingqiao Liu |
| 2019 | CVPR | Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation. | Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid |
| 2019 | ICCV | 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 |
| 2019 | ICMLA | Exploiting Stereo Sound Channels to Boost Performance of Neural Network-Based Music Transcription. | Xian Wang, Lingqiao Liu, Qinfeng Shi |
| 2018 | ACCV | 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 |
| 2018 | CVPR | Towards Effective Low-Bitwidth Convolutional Neural Networks. | Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid |
| 2018 | ECCV | Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal. | Jie Yang, Dong Gong, Lingqiao Liu, Qinfeng Shi |
| 2018 | ICRA | Semantic Segmentation from Limited Training Data. | Anton Milan, Trung Pham, Kumar Vijay, Douglas Morrison, Adam W. Tow, Lingqiao Liu, Jordan Erskine, Riccardo Grinover, Alec Gurman, Thomas Hunn, Norton Kelly-Boxall, Darryl Qijun Lee, Matthew McTaggart, Gerald Rallos, Andrew Razjigaev, Thomas James Rowntree, Tong Shen, Rohan Smith, Sean Wade-McCue, Zheyu Zhuang, Christopher F. Lehnert, Guosheng Lin, Ian David Reid, Peter I. Corke, Jrgen Leitner |
| 2017 | BMVC | Weakly Supervised Semantic Segmentation Based on Co-segmentation. | Tong Shen, Guosheng Lin, Lingqiao Liu, Chunhua Shen, Ian Reid |
| 2017 | CVPR | 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 |
| 2017 | CVPR | Sequential Person Recognition in Photo Albums with a Recurrent Network. | Yao Li, Guosheng Lin, Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel |
| 2017 | CVPR | Graph-Structured Representations for Visual Question Answering. | Damien Teney, Lingqiao Liu, Anton van den Hengel |
| 2017 | CVPR | Multi-attention Network for One Shot Learning. | Peng Wang, Lingqiao Liu, Chunhua Shen, Zi Huang, Anton van den Hengel, Heng Tao Shen |
| 2017 | CVPR | 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 |
| 2017 | ICCV | Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation. | Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang |
| 2017 | ICCV | Towards Context-Aware Interaction Recognition for Visual Relationship Detection. | Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Ian D. Reid |
| 2017 | ICRA | Deep learning features at scale for visual place recognition. | Zetao Chen, Adam Jacobson, Niko Snderhauf, Ben Upcroft, Lingqiao Liu, Chunhua Shen, Ian D. Reid, Michael Milford |
| 2016 | CVPR | Less is More: Zero-Shot Learning from Online Textual Documents with Noise Suppression. | Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel |
| 2016 | CVPR | 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 |
| 2016 | CVPR | 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 |
| 2016 | DICTA | 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 |
| 2016 | ECCV | Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution. | Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel |
| 2015 | CVPR | Mid-level deep pattern mining. | Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel |
| 2015 | CVPR | The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification. | Lingqiao Liu, Chunhua Shen, Anton van den Hengel |
| 2014 | ECCV | Progressive Mode-Seeking on Graphs for Sparse Feature Matching. | Chao Wang, Lei Wang, Lingqiao Liu |
| 2014 | MICCAI | Max-Margin Based Learning for Discriminative Bayesian Network from Neuroimaging Data. | Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen |
| 2013 | CVPR | 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 |
| 2013 | DICTA | Accelerating the Divisive Information-Theoretic Clustering of Visual Words. | Jianjia Zhang, Lei Wang, Lingqiao Liu, Luping Zhou, Wanqing Li |
| 2013 | ICCV | A Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data. | Lingqiao Liu, Lei Wang |
| 2013 | ICCV | Improving Graph Matching via Density Maximization. | Chao Wang, Lei Wang, Lingqiao Liu |
| 2012 | CVPR | What has my classifier learned? Visualizing the classification rules of bag-of-feature model by support region detection. | Lingqiao Liu, Lei Wang |
| 2011 | CVPR | A generalized probabilistic framework for compact codebook creation. | Lingqiao Liu, Lei Wang, Chunhua Shen |
| 2011 | ICCV | In defense of soft-assignment coding. | Lingqiao Liu, Lei Wang, Xinwang Liu |