Liu, Lingqiao

50 publications

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

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

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

AAAI 2025 Enhancing Close-up Novel View Synthesis via Pseudo-Labeling Jiatong Xia, Libo Sun, Lingqiao Liu

ICCV 2025 One Last Attention for Your Vision-Language Model Liang Chen, Ghazi Shazan Ahmad, Tianjun Yao, Lingqiao Liu, Zhiqiang Shen

TMLR 2025 Seeing Beyond Labels: Source-Free Domain Adaptation via Hypothesis Consolidation of Prediction Rationale Yangyang Shu, Yuhang Liu, Xiaofeng Cao, Qi Chen, Bowen Zhang, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu

CVPR 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

ECCVW 2024 Improving Online Source-Free Domain Adaptation for Object Detection by Unsupervised Data Acquisition Xiangyu Shi, Yanyuan Qiao, Qi Wu, Lingqiao Liu, Feras Dayoub

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

ECCV 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

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

ICCV 2023 Domain Generalization via Rationale Invariance Liang Chen, Yong Zhang, Yibing Song, Anton van den Hengel, Lingqiao Liu

CVPR 2023 Improved Test-Time Adaptation for Domain Generalization Liang Chen, Yong Zhang, 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, Guoqiang Liang, Peng Wang, Chunhua Shen

CVPR 2023 METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou

ICCVW 2023 Progressive Feature Adjustment for Semi-Supervised Learning from Pretrained Models Hai-Ming Xu, Lingqiao Liu, Hao Chen, Ehsan Abbasnejad, Rafael Felix

NeurIPS 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, Guosheng Lin, Peng Wang, Yanning Zhang

CVPR 2023 ZegCLIP: Towards Adapting CLIP for Zero-Shot Semantic Segmentation Ziqin Zhou, Yinjie Lei, Bowen Zhang, Lingqiao Liu, Yifan Liu

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

ECCV 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

ECCV 2022 Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism Yangyang Shu, Baosheng Yu, Haiming Xu, Lingqiao Liu

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

CVPR 2022 Self-Supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection Liang Chen, Yong Zhang, Yibing Song, Lingqiao Liu, Jue Wang

NeurIPS 2022 Semi-Supervised Semantic Segmentation with Prototype-Based Consistency Regularization Haiming Xu, Lingqiao Liu, Qiuchen Bian, Zhen Yang

ECCV 2020 Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks Yan Liu, Lingqiao Liu, Peng Wang, Pingping Zhang, Yinjie Lei

AAAI 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

ECCV 2018 Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal Jie Yang, Dong Gong, Lingqiao Liu, Qinfeng Shi

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

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

CVPR 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 Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi

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

CVPR 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

ICCV 2017 Towards Context-Aware Interaction Recognition for Visual Relationship Detection Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Ian Reid

ECCV 2016 Image Co-Localization by Mimicking a Good Detector's Confidence Score Distribution Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel

CVPR 2016 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 Value Do Explicit High Level Concepts Have in Vision to Language Problems? Qi Wu, Chunhua Shen, Lingqiao Liu, Anthony Dick, 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, Lingqiao Liu, Chunhua Shen, Zi Huang, Anton van den Hengel, Heng Tao Shen

CVPR 2015 Mid-Level Deep Pattern Mining Yao Li, 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

NeurIPS 2014 Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors Lingqiao Liu, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang

ECCV 2014 Progressive Mode-Seeking on Graphs for Sparse Feature Matching Chao Wang, Lei Wang, Lingqiao Liu

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

CVPR 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

ICCV 2013 Improving Graph Matching via Density Maximization Chao Wang, Lei Wang, Lingqiao Liu

CVPR 2012 What Has My Classifier Learned? Visualizing the Classification Rules of Bag-of-Feature Model by Support Region Detection Lingqiao Liu, Lei Wang

CVPR 2011 A Generalized Probabilistic Framework for Compact Codebook Creation Lingqiao Liu, Lei Wang, Chunhua Shen

ICCV 2011 In Defense of Soft-Assignment Coding Lingqiao Liu, Lei Wang, Xinwang Liu