Lingqiao Liu - RankMe

268 papers A* 52A 5B 1C 3Misc 7Journal 174Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	HiTVideo: Hierarchical Tokenizers for Enhancing Text-to-Video Generation with Autoregressive Large Language Models. AAAI Ziqin Zhou, Yifan Yang, Yuqing Yang, Tianyu He, Houwen Peng, Kai Qiu, Qi Dai, Lili Qiu, Chong Luo, Lingqiao Liu
2026	J	`jnl`	LearnMat: Semantic-Aware Self-Supervision Fine-Grained Visual Recognition. IEEE Trans. Image Process. ShuaiHeng Li, Qing Cai, Fan Zhang, Yangyang Shu, Guanbin Li, Junyu Dong, Lingqiao Liu, David Zhang
2026	J	`jnl`	Learning Feature Encoder With Synthetic Anomalies for Weakly Supervised Graph Anomaly Detection. IEEE Trans. Knowl. Data Eng. Yingjie Zhou, Yuqin Xie, Fanxing Liu, Dongjin Song, Ce Zhu, Lingqiao Liu
2026	J	`jnl`	LiveWorld: Simulating Out-of-Sight Dynamics in Generative Video World Models. CoRR Zicheng Duan, Jiatong Xia, Zeyu Zhang, Wenbo Zhang, Gengze Zhou, Chenhui Gou, Yefei He, Feng Chen, Xinyu Zhang, Lingqiao Liu
2026	J	`jnl`	Points-to-3D: Structure-Aware 3D Generation with Point Cloud Priors. CoRR Jiatong Xia, Zicheng Duan, Anton van den Hengel, Lingqiao Liu
2026	A*	`conf`	ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation. AAAI Yunyi Liu, Yingshu Li, Zhanyu Wang, Xinyu Liang, Lingqiao Liu, Lei Wang, Luping Zhou
2026	J	`jnl`	Towards High-Quality Novel View Synthesis From Nonuniformly Distributed Input Views. IEEE Trans. Vis. Comput. Graph. Libo Sun, Jiatong Xia, Lingqiao Liu
2026	J	`jnl`	Training-Free Instance-Aware 3D Scene Reconstruction and Diffusion-Based View Synthesis from Sparse Images. CoRR Jiatong Xia, Lingqiao Liu
2025	J	`jnl`	A Review of Longitudinal Radiology Report Generation: Dataset Composition, Methods, and Performance Evaluation. CoRR Shaoyang Zhou, Yingshu Li, Yunyi Liu, Lingqiao Liu, Lei Wang, Luping Zhou
2025	A	`conf`	A Simple-but-Effective Baseline for Training-Free Class-Agnostic Counting. WACV Yuhao Lin, Haiming Xu, Lingqiao Liu, Javen Qinfeng Shi
2025	A*	`conf`	Attention-Driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models Without Fine-Tuning. AAAI Hai-Ming Xu, Qi Chen, Lei Wang, Lingqiao Liu
2025	J	`jnl`	Chain-of-Action: Trajectory Autoregressive Modeling for Robotic Manipulation. CoRR Wenbo Zhang, Tianrun Hu, Yanyuan Qiao, Hanbo Zhang, Yuchu Qin, Yang Li, Jiajun Liu, Tao Kong, Lingqiao Liu, Xiao Ma
2025	J	`jnl`	Close-up-GS: Enhancing Close-Up View Synthesis in 3D Gaussian Splatting with Progressive Self-Training. CoRR Jiatong Xia, Lingqiao Liu
2025	J	`jnl`	CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning. IEEE Trans. Neural Networks Learn. Syst. Yukun Li, Guansong Pang, Wei Suo, Chenchen Jing, Yuling Xi, Lingqiao Liu, Hao Chen, Guoqiang Liang, Peng Wang
2025	J	`jnl`	EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance. CoRR Ankit Yadav, Ta Duc Huy, Lingqiao Liu
2025	A*	`conf`	Effective Tuning Strategies for Generalist Robot Manipulation Policies. ICRA Wenbo Zhang, Yang Li, Yanyuan Qiao, Siyuan Huang, Jiajun Liu, Feras Dayoub, Xiao Ma, Lingqiao Liu
2025	J	`jnl`	Efficient Response Generation Method Selection for Fine-Tuning Large Language Models. CoRR Xuan Ren, Qi Chen, Lingqiao Liu
2025	—	`conf`	Efficiently Selecting Response Generation Strategies for Synthetic Data Construction by Self-Aligned Perplexity. EMNLP (Findings) Xuan Ren, Qi Chen, Lingqiao Liu
2025	A	`conf`	Embodied Domain Adaptation for Object Detection. IROS Xiangyu Shi, Yanyuan Qiao, Lingqiao Liu, Feras Dayoub
2025	J	`jnl`	Embodied Domain Adaptation for Object Detection. CoRR Xiangyu Shi, Yanyuan Qiao, Lingqiao Liu, Feras Dayoub
2025	A*	`conf`	Enhancing Close-up Novel View Synthesis via Pseudo-labeling. AAAI Jiatong Xia, Libo Sun, Lingqiao Liu
2025	J	`jnl`	Enhancing Close-up Novel View Synthesis via Pseudo-labeling. CoRR Jiatong Xia, Libo Sun, Lingqiao Liu
2025	Misc	`conf`	Evaluating Forgetting in Pretrained Robotic Policy Networks: A Continual Learning Study with Octo. DICTA Yu Ding, Lingqiao Liu, Peng Wang, Lei Wang
2025	Misc	`conf`	Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models. DICTA Ankit Yadav, Lingqiao Liu, Yuankai Qi
2025	J	`jnl`	Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models. CoRR Ankit Yadav, Lingqiao Liu, Yuankai Qi
2025	J	`jnl`	Generalizable Person Re-Identification From a 3D Perspective: Addressing Unpredictable Viewpoint Changes. IEEE Trans. Inf. Forensics Secur. Bingliang Jiao, Lingqiao Liu, Liying Gao, Dapeng Oliver Wu, Guosheng Lin, Peng Wang, Yanning Zhang
2025	J	`jnl`	HiTVideo: Hierarchical Tokenizers for Enhancing Text-to-Video Generation with Autoregressive Large Language Models. CoRR Ziqin Zhou, Yifan Yang, Yuqing Yang, Tianyu He, Houwen Peng, Kai Qiu, Qi Dai, Lili Qiu, Chong Luo, Lingqiao Liu
2025	J	`jnl`	Learning Dual-Stream Conditional Concepts in Compositional Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. Qingsheng Wang, Lingqiao Liu, Chenchen Jing, Peng Wang, Yanning Zhang, Chunhua Shen
2025	J	`jnl`	Let Your Video Listen to Your Music! CoRR Xinyu Zhang, Dong Gong, Zicheng Duan, Anton van den Hengel, Lingqiao Liu
2025	A*	`conf`	Let Your Video Listen to Your Music! - Beat-Aligned, Content-Preserving Video Editing with Arbitrary Music. ACM Multimedia Xinyu Zhang, Dong Gong, Zicheng Duan, Anton van den Hengel, Lingqiao Liu
2025	J	`jnl`	One Last Attention for Your Vision-Language Model. CoRR Liang Chen, Ghazi Shazan Ahmad, Tianjun Yao, Lingqiao Liu, Zhiqiang Shen
2025	—	`conf`	PedCLIP: A Vision-Language Model for Pediatric X-Rays with Mixture of Body Part Experts. MICCAI (5) 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	—	`conf`	Predicting Generalization Error Under Graph Distribution Shifts via Parameter Discrepancy with Accumulated Gradient. AI (1) Jianbin Li, Yiliao Song, Lingqiao Liu
2025	J	`jnl`	RadReason: Radiology Report Evaluation Metric with Reasons and Sub-Scores. CoRR Yingshu Li, Yunyi Liu, Lingqiao Liu, Lei Wang, Luping Zhou
2025	J	`jnl`	Revisiting Vision Language Foundations for No-Reference Image Quality Assessment. CoRR Ankit Yadav, Ta Duc Huy, Lingqiao Liu
2025	J	`jnl`	S-RRG-Bench: Structured Radiology Report Generation with Fine-Grained Evaluation Framework. CoRR Yingshu Li, Yunyi Liu, Zhanyu Wang, Xinyu Liang, Lingqiao Liu, Lei Wang, Luping Zhou
2025	J	`jnl`	Seeing Beyond Labels: Source-Free Domain Adaptation via Hypothesis Consolidation of Prediction Rationale. Trans. Mach. Learn. Res. Yangyang Shu, Yuhang Liu, Xiaofeng Cao, Qi Chen, Bowen Zhang, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu
2025	A*	`conf`	Training-Free Instance-Aware 3D Scene Reconstruction and Diffusion-Based View Synthesis from Sparse Images. SIGGRAPH Asia Jiatong Xia, Lingqiao Liu
2025	J	`jnl`	Training-Free Motion-Guided Video Generation with Enhanced Temporal Consistency Using Motion Consistency Loss. CoRR Xinyu Zhang, Zicheng Duan, Dong Gong, Lingqiao Liu
2025	J	`jnl`	Unified Unsupervised Anomaly Detection via Matching Cost Filtering. CoRR Zhe Zhang, Mingxiu Cai, Gaochang Wu, Jing Zhang, Lingqiao Liu, Dacheng Tao, Tianyou Chai, Xiatian Zhu
2025	—	`conf`	You Can Generate It Again: Data-to-Text Generation with Verification and Correction Prompting. MMAsia Xuan Ren, Zeyu Zhang, Lingqiao Liu
2024	J	`jnl`	A Causal Inspired Early-Branching Structure for Domain Generalization. CoRR Liang Chen, Yong Zhang, Yibing Song, Zhen Zhang, Lingqiao Liu
2024	J	`jnl`	A Causal Inspired Early-Branching Structure for Domain Generalization. Int. J. Comput. Vis. Liang Chen, Yong Zhang, Yibing Song, Zhen Zhang, Lingqiao Liu
2024	J	`jnl`	A Simple-but-effective Baseline for Training-free Class-Agnostic Counting. CoRR Yuhao Lin, Haiming Xu, Lingqiao Liu, Javen Qinfeng Shi
2024	J	`jnl`	Add-SD: Rational Generation without Manual Reference. CoRR Lingfeng Yang, Xinyu Zhang, Xiang Li, Jinwen Chen, Kun Yao, Gang Zhang, Errui Ding, Lingqiao Liu, Jingdong Wang, Jian Yang
2024	J	`jnl`	Attention-driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models without Fine-Tuning. CoRR Hai-Ming Xu, Qi Chen, Lei Wang, Lingqiao Liu
2024	J	`jnl`	CAT: A Simple yet Effective Cross-Attention Transformer for One-Shot Object Detection. J. Comput. Sci. Technol. Weidong Lin, Yuyan Deng, Yang Gao, Ning Wang, Lingqiao Liu, Lei Zhang, Peng Wang
2024	J	`jnl`	Categorical Keypoint Positional Embedding for Robust Animal Re-Identification. CoRR Yuhao Lin, Lingqiao Liu, Javen Shi
2024	J	`jnl`	CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning. CoRR Yukun Li, Guansong Pang, Wei Suo, Chenchen Jing, Yuling Xi, Lingqiao Liu, Hao Chen, Guoqiang Liang, Peng Wang
2024	A*	`conf`	Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-Training Framework. CVPR 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	J	`jnl`	Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework. CoRR 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	J	`jnl`	ER2Score: LLM-based Explainable and Customizable Metric for Assessing Radiology Reports with Reward-Control Loss. CoRR Yunyi Liu, Yingshu Li, Zhanyu Wang, Xinyu Liang, Lingqiao Liu, Lei Wang, Luping Zhou
2024	J	`jnl`	EZIGen: Enhancing zero-shot subject-driven image generation with precise subject encoding and decoupled guidance. CoRR Zicheng Duan, Yuxuan Ding, Chenhui Gou, Ziqin Zhou, Ethan Smith, Lingqiao Liu
2024	J	`jnl`	Effective Tuning Strategies for Generalist Robot Manipulation Policies. CoRR Wenbo Zhang, Yang Li, Yanyuan Qiao, Siyuan Huang, Jiajun Liu, Feras Dayoub, Xiao Ma, Lingqiao Liu
2024	Misc	`conf`	Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization. DICTA Avraham Chapman, Haiming Xu, Lingqiao Liu
2024	J	`jnl`	Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization. CoRR Avraham Chapman, Haiming Xu, Lingqiao Liu
2024	J	`jnl`	I Learn Better If You Speak My Language: Enhancing Large Language Model Fine-Tuning with Style-Aligned Response Adjustments. CoRR Xuan Ren, Biao Wu, Lingqiao Liu
2024	A*	`conf`	I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses. EMNLP Xuan Ren, Biao Wu, Lingqiao Liu
2024	—	`conf`	Improving Online Source-Free Domain Adaptation for Object Detection by Unsupervised Data Acquisition. ECCV Workshops (7) Xiangyu Shi, Yanyuan Qiao, Qi Wu, Lingqiao Liu, Feras Dayoub
2024	—	`conf`	KARGEN: Knowledge-Enhanced Automated Radiology Report Generation Using Large Language Models. MICCAI (5) Yingshu Li, Zhanyu Wang, Yunyi Liu, Lei Wang, Lingqiao Liu, Luping Zhou
2024	J	`jnl`	KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models. CoRR Yingshu Li, Zhanyu Wang, Yunyi Liu, Lei Wang, Lingqiao Liu, Luping Zhou
2024	A*	`conf`	LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization. NeurIPS Liang Chen, Yong Zhang, Yibing Song, Zhiqiang Shen, Lingqiao Liu
2024	J	`jnl`	LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization. CoRR Liang Chen, Yong Zhang, Yibing Song, Zhiqiang Shen, Lingqiao Liu
2024	—	`conf`	MRScore: Evaluating Medical Report with LLM-Based Reward System. MICCAI (3) Yunyi Liu, Zhanyu Wang, Yingshu Li, Xinyu Liang, Lingqiao Liu, Lei Wang, Luping Zhou
2024	J	`jnl`	MRScore: Evaluating Radiology Report Generation with LLM-based Reward System. CoRR Yunyi Liu, Zhanyu Wang, Yingshu Li, Xinyu Liang, Lingqiao Liu, Lei Wang, Luping Zhou
2024	J	`jnl`	MuseBarControl: Enhancing Fine-Grained Control in Symbolic Music Generation through Pre-Training and Counterfactual Loss. CoRR Yangyang Shu, Haiming Xu, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu
2024	J	`jnl`	On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition. CoRR Zihu Wang, Lingqiao Liu, Scott Ricardo Figueroa Weston, Samuel Tian, Peng Li
2024	—	`conf`	On Learning Discriminative Features from Synthesized Data for Self-supervised Fine-Grained Visual Recognition. ECCV (89) Zihu Wang, Lingqiao Liu, Scott Ricardo Figueroa Weston, Samuel Tian, Peng Li
2024	J	`jnl`	PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition. CoRR ShuaiHeng Li, Qing Cai, Fan Zhang, Menghuan Zhang, Yangyang Shu, Zhi Liu, Huafeng Li, Lingqiao Liu
2024	J	`jnl`	ReFs: A hybrid pre-training paradigm for 3D medical image segmentation. Medical Image Anal. Yutong Xie, Jianpeng Zhang, Lingqiao Liu, Hu Wang, Yiwen Ye, Johan Verjans, Yong Xia
2024	—	`conf`	Semantic Role Labeling Guided Out-of-distribution Detection. LREC/COLING Jinan Zou, Maihao Guo, Yu Tian, Yuhao Lin, Haiyao Cao, Lingqiao Liu, Ehsan Abbasnejad, Javen Qinfeng Shi
2024	J	`jnl`	Semi-Supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment. IEEE Trans. Multim. Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu
2024	J	`jnl`	Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale. CoRR Yangyang Shu, Xiaofeng Cao, Qi Chen, Bowen Zhang, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu
2024	A*	`conf`	Unlocking the Potential of Pre-Trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors. CVPR Ziqin Zhou, Hai-Ming Xu, Yangyang Shu, Lingqiao Liu
2023	J	`jnl`	A Comprehensive Study of GPT-4V's Multimodal Capabilities in Medical Imaging. CoRR Yingshu Li, Yunyi Liu, Zhanyu Wang, Xinyu Liang, Lingqiao Liu, Lei Wang, Leyang Cui, Zhaopeng Tu, Longyue Wang, Luping Zhou
2023	—	`conf`	A Generative Approach for Comprehensive Financial Event Extraction at the Document Level. ICAIF Jinan Zou, Yanxi Liu, Yuankai Qi, Haiyao Cao, Lingqiao Liu, Javen Qinfeng Shi
2023	J	`jnl`	Balanced image captioning with task-aware decoupled learning and fusion. Neurocomputing Yuxuan Ding, Lingqiao Liu, Chunna Tian, Xiangnan Zhang, Xilan Tian
2023	A*	`conf`	Domain Generalization via Rationale Invariance. ICCV Liang Chen, Yong Zhang, Yibing Song, Anton van den Hengel, Lingqiao Liu
2023	J	`jnl`	Domain Generalization via Rationale Invariance. CoRR Liang Chen, Yong Zhang, Yibing Song, Anton van den Hengel, Lingqiao Liu
2023	A*	`conf`	Improved Test-Time Adaptation for Domain Generalization. CVPR Liang Chen, Yong Zhang, Yibing Song, Ying Shan, Lingqiao Liu
2023	J	`jnl`	Improved Test-Time Adaptation for Domain Generalization. CoRR Liang Chen, Yong Zhang, Yibing Song, Ying Shan, Lingqiao Liu
2023	J	`jnl`	Improving Online Source-free Domain Adaptation for Object Detection by Unsupervised Data Acquisition. CoRR Xiangyu Shi, Yanyuan Qiao, Qi Wu, Lingqiao Liu, Feras Dayoub
2023	A*	`conf`	Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems. CVPR Yangyang Shu, Anton van den Hengel, Lingqiao Liu
2023	J	`jnl`	Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems. CoRR Yangyang Shu, Anton van den Hengel, Lingqiao Liu
2023	A*	`conf`	Learning Conditional Attributes for Compositional Zero-Shot Learning. CVPR Qingsheng Wang, Lingqiao Liu, Chenchen Jing, Hao Chen, Guoqiang Liang, Peng Wang, Chunhua Shen
2023	J	`jnl`	Learning Conditional Attributes for Compositional Zero-Shot Learning. CoRR Qingsheng Wang, Lingqiao Liu, Chenchen Jing, Hao Chen, Guoqiang Liang, Peng Wang, Chunhua Shen
2023	J	`jnl`	Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification. IEEE Trans. Image Process. Lin Wu, Lingqiao Liu, Yang Wang, Zheng Zhang, Farid Boussaïd, Mohammed Bennamoun, Xianghua Xie
2023	A*	`conf`	METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens. CVPR Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou
2023	J	`jnl`	METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens. CoRR Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou
2023	A*	`conf`	Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future. EMNLP Linyi Yang, Yaoxian Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Jingming Zhuo, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang
2023	J	`jnl`	Out-of-Distribution Generalization in Text Classification: Past, Present, and Future. CoRR Linyi Yang, Yaoxiao Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang
2023	—	`conf`	Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models. ICCV (Workshops) Hai-Ming Xu, Lingqiao Liu, Hao Chen, Ehsan Abbasnejad, Rafael Felix
2023	J	`jnl`	Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models. CoRR Hai-Ming Xu, Lingqiao Liu, Hao Chen, Ehsan Abbasnejad, Rafael Felix
2023	J	`jnl`	R2GenGPT: Radiology Report Generation with Frozen LLMs. CoRR Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou
2023	Misc	`conf`	Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation. DICTA Yuhao Lin, Haiming Xu, Lingqiao Liu, Jinan Zou, Javen Shi
2023	J	`jnl`	Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation. CoRR Yuhao Lin, Haiming Xu, Lingqiao Liu, Jinan Zou, Javen Qinfeng Shi
2023	J	`jnl`	Semantic Role Labeling Guided Out-of-distribution Detection. CoRR Jinan Zou, Maihao Guo, Yu Tian, Yuhao Lin, Haiyao Cao, Lingqiao Liu, Ehsan Abbasnejad, Javen Qinfeng Shi
2023	A*	`conf`	The CLIP Model is Secretly an Image-to-Prompt Converter. NeurIPS Yuxuan Ding, Chunna Tian, Haoxuan Ding, Lingqiao Liu
2023	J	`jnl`	The CLIP Model is Secretly an Image-to-Prompt Converter. CoRR Yuxuan Ding, Chunna Tian, Haoxuan Ding, Lingqiao Liu
2023	A*	`conf`	Toward Re-Identifying Any Animal. NeurIPS Bingliang Jiao, Lingqiao Liu, Liying Gao, Ruiqi Wu, Guosheng Lin, Peng Wang, Yanning Zhang
2023	A*	`conf`	Transformer-based Open-world Instance Segmentation with Cross-task Consistency Regularization. ACM Multimedia Xizhe Xue, Dongdong Yu, Lingqiao Liu, Yu Liu, Satoshi Tsutsui, Ying Li, Zehuan Yuan, Ping Song, Mike Zheng Shou
2023	J	`jnl`	Verbal-Person Nets: Pose-Guided Multi-Granularity Language-to-Person Generation. IEEE Trans. Neural Networks Learn. Syst. Deyin Liu, Lin Wu, Feng Zheng, Lingqiao Liu, Meng Wang
2023	J	`jnl`	You Can Generate It Again: Data-to-text Generation with Verification and Correction Prompting. CoRR Xuan Ren, Lingqiao Liu
2023	A*	`conf`	ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation. CVPR Ziqin Zhou, Yinjie Lei, Bowen Zhang, Lingqiao Liu, Yifan Liu
2023	A*	`conf`	Zero-Shot Slot Filling with Slot-Prefix Prompting and Attention Relationship Descriptor. AAAI Qiaoyang Luo, Lingqiao Liu
2022	J	`jnl`	Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model. CoRR Jinan Zou, Haiyao Cao, Lingqiao Liu, Yuhao Lin, Ehsan Abbasnejad, Javen Qinfeng Shi
2022	J	`jnl`	Center Prediction Loss for Re-identification. Pattern Recognit. Lu Yang, Yunlong Wang, Lingqiao Liu, Peng Wang, Yanning Zhang
2022	J	`jnl`	Computationally Efficient Dilated Convolutional Model for Melody Extraction. IEEE Signal Process. Lett. Xian Wang, Lingqiao Liu, Javen Qinfeng Shi
2022	J	`jnl`	Don't Stop Learning: Towards Continual Learning for the CLIP Model. CoRR Yuxuan Ding, Lingqiao Liu, Chunna Tian, Jingyuan Yang, Haoxuan Ding
2022	A	`conf`	Dual Decision Improves Open-Set Panoptic Segmentation. BMVC Haiming Xu, Hao Chen, Lingqiao Liu, Yufei Yin
2022	—	`conf`	Dynamically Transformed Instance Normalization Network for Generalizable Person Re-Identification. ECCV (14) Bingliang Jiao, Lingqiao Liu, Liying Gao, Guosheng Lin, Lu Yang, Shizhou Zhang, Peng Wang, Yanning Zhang
2022	J	`jnl`	Effective Training of Convolutional Neural Networks With Low-Bitwidth Weights and Activations. IEEE Trans. Pattern Anal. Mach. Intell. Bohan Zhuang, Mingkui Tan, Jing Liu, Lingqiao Liu, Ian Reid, Chunhua Shen
2022	J	`jnl`	Feature Encoding With Autoencoders for Weakly Supervised Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. Yingjie Zhou, Xucheng Song, Yanru Zhang, Fanxing Liu, Ce Zhu, Lingqiao Liu
2022	J	`jnl`	Generalizable Person Re-Identification via Viewpoint Alignment and Fusion. CoRR Bingliang Jiao, Lingqiao Liu, Liying Gao, Guosheng Lin, Ruiqi Wu, Shizhou Zhang, Peng Wang, Yanning Zhang
2022	J	`jnl`	Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism. CoRR Yangyang Shu, Baosheng Yu, Hai-Ming Xu, Lingqiao Liu
2022	—	`conf`	Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-boosting Attention Mechanism. ECCV (25) Yangyang Shu, Baosheng Yu, Haiming Xu, Lingqiao Liu
2022	J	`jnl`	Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification. CoRR Lin Wu, Lingqiao Liu, Yang Wang, Zheng Zhang, Farid Boussaïd, Mohammed Bennamoun
2022	J	`jnl`	Multi-Domain Joint Training for Person Re-Identification. CoRR Lu Yang, Lingqiao Liu, Yunlong Wang, Peng Wang, Yanning Zhang
2022	A*	`conf`	OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training. NeurIPS Liang Chen, Yong Zhang, Yibing Song, Jue Wang, Lingqiao Liu
2022	B	`conf`	Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-Identification. ICMR Lu Yang, Hongbang Liu, Lingqiao Liu, Jinghao Zhou, Lei Zhang, Peng Wang, Yanning Zhang
2022	J	`jnl`	Pretrained Language Encoders are Natural Tagging Frameworks for Aspect Sentiment Triplet Extraction. CoRR Yanjie Gou, Yinjie Lei, Lingqiao Liu, Yong Dai, Chunxu Shen, Yongqi Tong
2022	J	`jnl`	Privileged multi-task learning for attribute-aware aesthetic assessment. Pattern Recognit. Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu
2022	—	`conf`	Progressive Class Semantic Matching for Semi-supervised Text Classification. NAACL-HLT Hai-Ming Xu, Lingqiao Liu, Ehsan Abbasnejad
2022	J	`jnl`	Progressive Class Semantic Matching for Semi-supervised Text Classification. CoRR Hai-Ming Xu, Lingqiao Liu, Ehsan Abbasnejad
2022	J	`jnl`	RPC: a large-scale and fine-grained retail product checkout dataset. Sci. China Inf. Sci. Xiu-Shen Wei, Quan Cui, Lei Yang, Peng Wang, Lingqiao Liu, Jian Yang
2022	J	`jnl`	Regularizing Neural Network Training via Identity-wise Discriminative Feature Suppression. CoRR Avraham Chapman, Lingqiao Liu
2022	A*	`conf`	Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection. CVPR Liang Chen, Yong Zhang, Yibing Song, Lingqiao Liu, Jue Wang
2022	J	`jnl`	Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection. CoRR Liang Chen, Yong Zhang, Yibing Song, Lingqiao Liu, Jue Wang
2022	A*	`conf`	Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization. NeurIPS Haiming Xu, Lingqiao Liu, Qiuchen Bian, Zhen Yang
2022	J	`jnl`	Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization. CoRR Hai-Ming Xu, Lingqiao Liu, Qiuchen Bian, Zhen Yang
2022	J	`jnl`	Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization. CoRR Xizhe Xue, Dongdong Yu, Lingqiao Liu, Yu Liu, Ying Li, Zehuan Yuan, Ping Song, Mike Zheng Shou
2022	J	`jnl`	Structured Binary Neural Networks for Image Recognition. Int. J. Comput. Vis. Bohan Zhuang, Chunhua Shen, Mingkui Tan, Peng Chen, Lingqiao Liu, Ian Reid
2022	J	`jnl`	Two-stage Decision Improves Open-Set Panoptic Segmentation. CoRR Hai-Ming Xu, Hao Chen, Lingqiao Liu, Yufei Yin
2022	J	`jnl`	ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation. CoRR Ziqin Zhou, Bowen Zhang, Yinjie Lei, Lingqiao Liu, Yifan Liu
2021	J	`jnl`	Boundarymix: Generating pseudo-training images for improving segmentation with scribble annotations. Pattern Recognit. Wanxuan Lu, Dong Gong, Kun Fu, Xian Sun, Wenhui Diao, Lingqiao Liu
2021	J	`jnl`	CAT: Cross-Attention Transformer for One-Shot Object Detection. CoRR Weidong Lin, Yuyan Deng, Yang Gao, Ning Wang, Jinghao Zhou, Lingqiao Liu, Lei Zhang, Peng Wang
2021	J	`jnl`	Center Prediction Loss for Re-identification. CoRR Lu Yang, Yunlong Wang, Lingqiao Liu, Peng Wang, Lu Chi, Zehuan Yuan, Changhu Wang, Yanning Zhang
2021	—	`conf`	Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems. EMNLP (1) Yanjie Gou, Yinjie Lei, Lingqiao Liu, Yong Dai, Chunxu Shen
2021	—	`conf`	Don't Miss the Labels: Label-semantic Augmented Meta-Learner for Few-Shot Text Classification. ACL/IJCNLP (Findings) Qiaoyang Luo, Lingqiao Liu, Yuhao Lin, Wei Zhang
2021	J	`jnl`	Exploring the auxiliary learning for long-tailed visual recognition. Neurocomputing Junjie Zhang, Lingqiao Liu, Peng Wang, Jian Zhang
2021	J	`jnl`	Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection. CoRR Yingjie Zhou, Xucheng Song, Yanru Zhang, Fanxing Liu, Ce Zhu, Lingqiao Liu
2021	J	`jnl`	Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation. CoRR Duo Peng, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Jun Liu
2021	J	`jnl`	Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation. IEEE Trans. Image Process. Duo Peng, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Jun Liu
2021	—	`conf`	Label Definitions Augmented Interaction Model for Legal Charge Prediction. ECIR (1) Liangyi Kang, Jie Liu, Lingqiao Liu, Dan Ye
2021	J	`jnl`	Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-Identification. CoRR Lu Yang, Hongbang Liu, Jinghao Zhou, Lingqiao Liu, Lei Zhang, Peng Wang, Yanning Zhang
2021	Misc	`conf`	Semi-supervised Learning via Conditional Rotation Angle Estimation. DICTA Hai-Ming Xu, Lingqiao Liu, Dong Gong
2021	J	`jnl`	Semi-supervised emotion recognition in textual conversation via a context-augmented auxiliary training task. Inf. Process. Manag. Liangyi Kang, Jie Liu, Lingqiao Liu, Zhiyang Zhou, Dan Ye
2021	J	`jnl`	Towards using count-level weak supervision for crowd counting. Pattern Recognit. Yinjie Lei, Yan Liu, Pingping Zhang, Lingqiao Liu
2021	J	`jnl`	Where to Look and How to Describe: Fashion Image Retrieval With an Attentional Heterogeneous Bilinear Network. IEEE Trans. Circuits Syst. Video Technol. Haibo Su, Peng Wang, Lingqiao Liu, Hui Li, Zhen Li, Yanning Zhang
2020	J	`jnl`	A Dynamic Parameter Enhanced Network for distant supervised relation extraction. Knowl. Based Syst. Yanjie Gou, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Xi Peng
2020	J	`jnl`	Adaptive Importance Learning for Improving Lightweight Image Super-Resolution Network. Int. J. Comput. Vis. Lei Zhang, Peng Wang, Chunhua Shen, Lingqiao Liu, Wei Wei, Yanning Zhang, Anton van den Hengel
2020	J	`jnl`	Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization. IEEE Trans. Pattern Anal. Mach. Intell. Yu Chen, Chunhua Shen, Hao Chen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang
2020	J	`jnl`	Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems. CoRR Yanjie Gou, Yinjie Lei, Lingqiao Liu, Yong Dai, Chunxu Shen
2020	C	`conf`	Enhancing Piano Transcription by Dilated Convolution. ICMLA Xian Wang, Lingqiao Liu, Qinfeng Shi
2020	J	`jnl`	GADE: A Generative Adversarial Approach to Density Estimation and its Applications. Int. J. Comput. Vis. M. Ehsan Abbasnejad, Javen Shi, Anton van den Hengel, Lingqiao Liu
2020	C	`conf`	Harmonic Structure-Based Neural Network Model for Music Pitch Detection. ICMLA Xian Wang, Lingqiao Liu, Qinfeng Shi
2020	J	`jnl`	Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning. CoRR Haokui Zhang, Yu Liu, Bei Fang, Ying Li, Lingqiao Liu, Ian D. Reid
2020	J	`jnl`	Mask-Aware Networks for Crowd Counting. IEEE Trans. Circuits Syst. Video Technol. Shengqin Jiang, Xiaobo Lu, Yinjie Lei, Lingqiao Liu
2020	—	`conf`	Medical Data Inquiry Using a Question Answering Model. ISBI Zhibin Liao, Lingqiao Liu, Qi Wu, Damien Teney, Chunhua Shen, Anton van den Hengel, Johan Verjans
2020	A	`conf`	Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation. IROS Yu Liu, Lingqiao Liu, Haokui Zhang, Hamid Rezatofighi, Qingsen Yan, Ian D. Reid
2020	J	`jnl`	Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks. CoRR Yan Liu, Lingqiao Liu, Peng Wang, Pingping Zhang, Yinjie Lei
2020	—	`conf`	Semi-supervised Crowd Counting via Self-training on Surrogate Tasks. ECCV (15) Yan Liu, Lingqiao Liu, Peng Wang, Pingping Zhang, Yinjie Lei
2020	J	`jnl`	Semi-supervised Learning via Conditional Rotation Angle Estimation. CoRR Hai-Ming Xu, Lingqiao Liu, Dong Gong
2020	J	`jnl`	Towards Effective Deep Embedding for Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. Lei Zhang, Peng Wang, Lingqiao Liu, Chunhua Shen, Wei Wei, Yanning Zhang, Anton van den Hengel
2020	J	`jnl`	Towards Using Count-level Weak Supervision for Crowd Counting. CoRR Yinjie Lei, Yan Liu, Pingping Zhang, Lingqiao Liu
2020	A*	`conf`	Training Quantized Neural Networks With a Full-Precision Auxiliary Module. CVPR Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid
2020	A*	`conf`	V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices. AAAI Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel
2020	J	`jnl`	Where to Look and How to Describe: Fashion Image Retrieval with an Attentional Heterogeneous Bilinear Network. CoRR Haibo Su, Peng Wang, Lingqiao Liu, Hui Li, Zhen Li, Yanning Zhang
2019	A*	`conf`	A Generative Adversarial Density Estimator. CVPR M. Ehsan Abbasnejad, Qinfeng Shi, Anton van den Hengel, Lingqiao Liu
2019	J	`jnl`	Creating Auxiliary Representations from Charge Definitions for Criminal Charge Prediction. CoRR Liangyi Kang, Jie Liu, Lingqiao Liu, Qinfeng Shi, Dan Ye
2019	J	`jnl`	DNNRE: A Dynamic Neural Network for Distant Supervised Relation Extraction. CoRR Yanjie Gou, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Jingyi Zhang, Xi Peng
2019	J	`jnl`	Deep point-to-subspace metric learning for sketch-based 3D shape retrieval. Pattern Recognit. Yinjie Lei, Ziqin Zhou, Pingping Zhang, Yulan Guo, Zijun Ma, Lingqiao Liu
2019	J	`jnl`	Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations. CoRR Bohan Zhuang, Jing Liu, Mingkui Tan, Lingqiao Liu, Ian D. Reid, Chunhua Shen
2019	C	`conf`	Exploiting Stereo Sound Channels to Boost Performance of Neural Network-Based Music Transcription. ICMLA Xian Wang, Lingqiao Liu, Qinfeng Shi
2019	J	`jnl`	In defense of OSVOS. CoRR Yu Liu, Yutong Dai, Anh-Dzung Doan, Lingqiao Liu, Ian D. Reid
2019	J	`jnl`	Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes. CoRR Yu Liu, Lingqiao Liu, Seyed Hamid Rezatofighi, Thanh-Toan Do, Qinfeng Shi, Ian D. Reid
2019	J	`jnl`	Mask-aware networks for crowd counting. CoRR Shengqin Jiang, Xiaobo Lu, Yinjie Lei, Lingqiao Liu
2019	A*	`conf`	Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection. ICCV Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel
2019	J	`jnl`	Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection. CoRR Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel
2019	J	`jnl`	Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation. CoRR Yu Liu, Lingqiao Liu, Haokui Zhang, Seyed Hamid Rezatofighi, Ian D. Reid
2019	J	`jnl`	Order-aware convolutional pooling for video based action recognition. Pattern Recognit. Peng Wang, Lingqiao Liu, Chunhua Shen, Heng Tao Shen
2019	J	`jnl`	Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples. IEEE Trans. Image Process. Xiu-Shen Wei, Peng Wang, Lingqiao Liu, Chunhua Shen, Jianxin Wu
2019	J	`jnl`	RPC: A Large-Scale Retail Product Checkout Dataset. CoRR Xiu-Shen Wei, Quan Cui, Lei Yang, Peng Wang, Lingqiao Liu
2019	A*	`conf`	Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation. CVPR Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid
2019	J	`jnl`	Structured Binary Neural Networks for Image Recognition. CoRR Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid
2019	J	`jnl`	To Balance or Not to Balance: An Embarrassingly Simple Approach for Learning with Long-Tailed Distributions. CoRR Junjie Zhang, Lingqiao Liu, Peng Wang, Chunhua Shen
2019	J	`jnl`	Training Quantized Network with Auxiliary Gradient Module. CoRR Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid
2019	J	`jnl`	V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices. CoRR Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel
2018	J	`jnl`	Adaptive Importance Learning for Improving Lightweight Image Super-resolution Network. CoRR Lei Zhang, Peng Wang, Chunhua Shen, Lingqiao Liu, Wei Wei, Yanning Zhang, Anton van den Hengel
2018	—	`conf`	Coarse-to-Fine: A RNN-Based Hierarchical Attention Model for Vehicle Re-identification. ACCV (2) Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu
2018	J	`jnl`	Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification. CoRR Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu
2018	J	`jnl`	Learning Context Flexible Attention Model for Long-Term Visual Place Recognition. IEEE Robotics Autom. Lett. Zetao Chen, Lingqiao Liu, Inkyu Sa, Zongyuan Ge, Margarita Chli
2018	J	`jnl`	Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples. CoRR Xiu-Shen Wei, Peng Wang, Lingqiao Liu, Chunhua Shen, Jianxin Wu
2018	—	`conf`	Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal. ECCV (3) Jie Yang, Dong Gong, Lingqiao Liu, Qinfeng Shi
2018	A*	`conf`	Semantic Segmentation from Limited Training Data. ICRA 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, Jürgen Leitner
2018	J	`jnl`	Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation. CoRR Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid
2018	J	`jnl`	Towards Effective Deep Embedding for Zero-Shot Learning. CoRR Lei Zhang, Peng Wang, Lingqiao Liu, Chunhua Shen, Wei Wei, Yanning Zhang, Anton van den Hengel
2018	A*	`conf`	Towards Effective Low-Bitwidth Convolutional Neural Networks. CVPR Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid
2017	J	`jnl`	A Graph-Embedding Approach to Hierarchical Visual Word Mergence. IEEE Trans. Neural Networks Learn. Syst. Lei Wang, Lingqiao Liu, Luping Zhou
2017	J	`jnl`	Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization. CoRR Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang
2017	A*	`conf`	Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation. ICCV Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang
2017	J	`jnl`	Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation. CoRR Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang
2017	A*	`conf`	Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning from Web Data. CVPR Bohan Zhuang, Lingqiao Liu, Yao Li, Chunhua Shen, Ian D. Reid
2017	J	`jnl`	Compositional Model Based Fisher Vector Coding for Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. Lingqiao Liu, Peng Wang, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang, Heng Tao Shen
2017	J	`jnl`	Cross-Convolutional-Layer Pooling for Image Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Lingqiao Liu, Chunhua Shen, Anton van den Hengel
2017	J	`jnl`	Deep Learning Features at Scale for Visual Place Recognition. CoRR Zetao Chen, Adam Jacobson, Niko Sünderhauf, Ben Upcroft, Lingqiao Liu, Chunhua Shen, Ian D. Reid, Michael Milford
2017	A*	`conf`	Deep learning features at scale for visual place recognition. ICRA Zetao Chen, Adam Jacobson, Niko Sünderhauf, Ben Upcroft, Lingqiao Liu, Chunhua Shen, Ian D. Reid, Michael Milford
2017	A*	`conf`	From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur. CVPR Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian D. Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi
2017	A*	`conf`	Graph-Structured Representations for Visual Question Answering. CVPR Damien Teney, Lingqiao Liu, Anton van den Hengel
2017	J	`jnl`	Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition. Pattern Recognit. Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel
2017	J	`jnl`	Mining Mid-level Visual Patterns with Deep CNN Activations. Int. J. Comput. Vis. Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel
2017	A*	`conf`	Multi-attention Network for One Shot Learning. CVPR Peng Wang, Lingqiao Liu, Chunhua Shen, Zi Huang, Anton van den Hengel, Heng Tao Shen
2017	J	`jnl`	Semantic Segmentation from Limited Training Data. CoRR 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 D. Reid, Peter I. Corke, Jürgen Leitner
2017	A*	`conf`	Sequential Person Recognition in Photo Albums with a Recurrent Network. CVPR Yao Li, Guosheng Lin, Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel
2017	J	`jnl`	Temporal Pyramid Pooling-Based Convolutional Neural Network for Action Recognition. IEEE Trans. Circuits Syst. Video Technol. Peng Wang, Yuanzhouhan Cao, Chunhua Shen, Lingqiao Liu, Heng Tao Shen
2017	A*	`conf`	Towards Context-Aware Interaction Recognition for Visual Relationship Detection. ICCV Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Ian D. Reid
2017	J	`jnl`	Towards Context-aware Interaction Recognition. CoRR Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Ian D. Reid
2017	J	`jnl`	Towards Effective Low-bitwidth Convolutional Neural Networks. CoRR Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid
2017	J	`jnl`	Visually Aligned Word Embeddings for Improving Zero-shot Learning. CoRR Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel
2017	A	`conf`	Weakly Supervised Semantic Segmentation Based on Co-segmentation. BMVC Tong Shen, Guosheng Lin, Lingqiao Liu, Chunhua Shen, Ian Reid
2017	J	`jnl`	Weakly Supervised Semantic Segmentation Based on Co-segmentation. CoRR Tong Shen, Guosheng Lin, Lingqiao Liu, Chunhua Shen, Ian D. Reid
2016	J	`jnl`	A Generalized Probabilistic Framework for Compact Codebook Creation. IEEE Trans. Pattern Anal. Mach. Intell. Lingqiao Liu, Lei Wang, Chunhua Shen
2016	J	`jnl`	Attend in groups: a weakly-supervised deep learning framework for learning from web data. CoRR Bohan Zhuang, Lingqiao Liu, Yao Li, Chunhua Shen, Ian D. Reid
2016	J	`jnl`	Compositional Model based Fisher Vector Coding for Image Classification. CoRR Lingqiao Liu, Peng Wang, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang, Heng Tao Shen
2016	Misc	`conf`	Exploiting Temporal Information for DCNN-Based Fine-Grained Object Classification. DICTA Zongyuan Ge, Chris McCool, Conrad Sanderson, Peng Wang, Lingqiao Liu, Ian D. Reid, Peter I. Corke
2016	J	`jnl`	Exploiting Temporal Information for DCNN-based Fine-Grained Object Classification. CoRR Zongyuan Ge, Chris McCool, Conrad Sanderson, Peng Wang, Lingqiao Liu, Ian D. Reid, Peter I. Corke
2016	J	`jnl`	From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur. CoRR Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian D. Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi
2016	J	`jnl`	Graph-Structured Representations for Visual Question Answering. CoRR Damien Teney, Lingqiao Liu, Anton van den Hengel
2016	J	`jnl`	Hi Detector, What's Wrong with that Object? Identifying Irregular Object From Images by Modelling the Detection Score Distribution. CoRR Peng Wang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel, Heng Tao Shen
2016	—	`conf`	Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution. ECCV (2) Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel
2016	J	`jnl`	Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution. CoRR Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel
2016	J	`jnl`	Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data. IEEE Trans. Pattern Anal. Mach. Intell. Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen
2016	A*	`conf`	Less is More: Zero-Shot Learning from Online Textual Documents with Noise Suppression. CVPR Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel
2016	J	`jnl`	Less is more: zero-shot learning from online textual documents with noise suppression. CoRR Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel
2016	J	`jnl`	Order-aware Convolutional Pooling for Video Based Action Recognition. CoRR Peng Wang, Lingqiao Liu, Chunhua Shen, Heng Tao Shen
2016	J	`jnl`	Sequential Person Recognition in Photo Albums with a Recurrent Network. CoRR Yao Li, Guosheng Lin, Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel
2016	A*	`conf`	What Value Do Explicit High Level Concepts Have in Vision to Language Problems? CVPR Qi Wu, Chunhua Shen, Lingqiao Liu, Anthony R. Dick, Anton van den Hengel
2016	A*	`conf`	What's Wrong with That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution. CVPR Peng Wang, Lingqiao Liu, Chunhua Shen, Zi Huang, Anton van den Hengel, Heng Tao Shen
2016	J	`jnl`	Where to Focus: Query Adaptive Matching for Instance Retrieval Using Convolutional Feature Maps. CoRR Jiewei Cao, Lingqiao Liu, Peng Wang, Zi Huang, Chunhua Shen, Heng Tao Shen
2015	J	`jnl`	Cross-convolutional-layer Pooling for Generic Visual Recognition. CoRR Lingqiao Liu, Chunhua Shen, Anton van den Hengel
2015	J	`jnl`	Density Maximization for Improving Graph Matching With Its Applications. IEEE Trans. Image Process. Chao Wang, Lei Wang, Lingqiao Liu
2015	J	`jnl`	Image Captioning with an Intermediate Attributes Layer. CoRR Qi Wu, Chunhua Shen, Anton van den Hengel, Lingqiao Liu, Anthony R. Dick
2015	J	`jnl`	Learning Discriminative Bayesian Networks from High-dimensional Continuous Neuroimaging Data. CoRR Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen
2015	J	`jnl`	Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition. CoRR Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel
2015	A*	`conf`	Mid-level deep pattern mining. CVPR Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel
2015	J	`jnl`	Mining Mid-level Visual Patterns with Deep CNN Activations. CoRR Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel
2015	J	`jnl`	Temporal Pyramid Pooling Based Convolutional Neural Networks for Action Recognition. CoRR Peng Wang, Yuanzhouhan Cao, Chunhua Shen, Lingqiao Liu, Heng Tao Shen
2015	A*	`conf`	The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification. CVPR Lingqiao Liu, Chunhua Shen, Anton van den Hengel
2014	J	`jnl`	A Generalized Probabilistic Framework for Compact Codebook Creation. CoRR Lingqiao Liu, Lei Wang, Chunhua Shen
2014	J	`jnl`	A Hierarchical Word-Merging Algorithm with Class Separability Measure. IEEE Trans. Pattern Anal. Mach. Intell. Lei Wang, Luping Zhou, Chunhua Shen, Lingqiao Liu, Huan Liu
2014	—	`conf`	Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors. NIPS Lingqiao Liu, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang
2014	J	`jnl`	Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors. CoRR Lingqiao Liu, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang
2014	J	`jnl`	HEp-2 cell image classification with multiple linear descriptors. Pattern Recognit. Lingqiao Liu, Lei Wang
2014	—	`conf`	Max-Margin Based Learning for Discriminative Bayesian Network from Neuroimaging Data. MICCAI (3) Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen
2014	J	`jnl`	Mid-level Deep Pattern Mining. CoRR Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel
2014	—	`conf`	Progressive Mode-Seeking on Graphs for Sparse Feature Matching. ECCV (2) Chao Wang, Lei Wang, Lingqiao Liu
2014	J	`jnl`	The Treasure beneath Convolutional Layers: Cross-convolutional-layer Pooling for Image Classification. CoRR Lingqiao Liu, Chunhua Shen, Anton van den Hengel
2013	A*	`conf`	A Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data. ICCV Lingqiao Liu, Lei Wang
2013	Misc	`conf`	Accelerating the Divisive Information-Theoretic Clustering of Visual Words. DICTA Jianjia Zhang, Lei Wang, Lingqiao Liu, Luping Zhou, Wanqing Li
2013	J	`jnl`	An Adaptive Approach to Learning Optimal Neighborhood Kernels. IEEE Trans. Cybern. Xinwang Liu, Jianping Yin, Lei Wang, Lingqiao Liu, Jun Liu, Chenping Hou, Jian Zhang
2013	A*	`conf`	Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network. CVPR Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen
2013	A*	`conf`	Improving Graph Matching via Density Maximization. ICCV Chao Wang, Lei Wang, Lingqiao Liu
2012	J	`jnl`	Incorporation of radius-info can be simple with SimpleMKL. Neurocomputing Xinwang Liu, Lei Wang, Jianping Yin, Lingqiao Liu
2012	A*	`conf`	What has my classifier learned? Visualizing the classification rules of bag-of-feature model by support region detection. CVPR Lingqiao Liu, Lei Wang
2011	A*	`conf`	A generalized probabilistic framework for compact codebook creation. CVPR Lingqiao Liu, Lei Wang, Chunhua Shen
2011	A*	`conf`	Exploring latent class information for image retrieval using the bag-of-feature model. ACM Multimedia Lingqiao Liu, Lei Wang
2011	A*	`conf`	In defense of soft-assignment coding. ICCV Lingqiao Liu, Lei Wang, Xinwang Liu
2008	—	`conf`	Edge Mapping: A New Motion Estimation Method for Video Stabilization. ISCSCT (2) Lingqiao Liu, Zhizhong Fu, Jingjing Xie, Wei Qian