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2020 – today
- 2024
[j43]Liang Chen
, Yong Zhang, Yibing Song, Zhen Zhang, Lingqiao Liu:
A Causal Inspired Early-Branching Structure for Domain Generalization. Int. J. Comput. Vis. 132(9): 4052-4072 (2024)- [j42]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): 460-471 (2024) - [j41]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: 103023 (2024) - [j40]Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu:
Semi-Supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment. IEEE Trans. Multim. 26: 4086-4096 (2024) - [c74]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: 14641-14651 - [c73]Ziqin Zhou, Hai-Ming Xu, Yangyang Shu, Lingqiao Liu:
Unlocking the Potential of Pre-Trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors. CVPR 2024: 3817-3827 - [c72]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. CVPR 2024: 11492-11501 - [c71]Xuan Ren, Biao Wu, Lingqiao Liu:
I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses. EMNLP 2024: 10225-10245 - [c70]Yunyi Liu, Zhanyu Wang, Yingshu Li, Xinyu Liang, Lingqiao Liu, Lei Wang, Luping Zhou:
MRScore: Evaluating Medical Report with LLM-Based Reward System. MICCAI (3) 2024: 283-292 - [c69]Yingshu Li, Zhanyu Wang, Yunyi Liu, Lei Wang, Lingqiao Liu, Luping Zhou:
KARGEN: Knowledge-Enhanced Automated Radiology Report Generation Using Large Language Models. MICCAI (5) 2024: 382-392 - [i99]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 abs/2402.01157 (2024) - [i98]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 abs/2402.11192 (2024) - [i97]Yuhao Lin, Haiming Xu, Lingqiao Liu, Javen Qinfeng Shi:
A Simple-but-effective Baseline for Training-free Class-Agnostic Counting. CoRR abs/2403.01418 (2024) - [i96]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 abs/2403.07636 (2024) - [i95]Liang Chen, Yong Zhang, Yibing Song, Zhen Zhang, Lingqiao Liu:
A Causal Inspired Early-Branching Structure for Domain Generalization. CoRR abs/2403.08649 (2024) - [i94]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 abs/2403.10245 (2024) - [i93]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 abs/2404.17778 (2024) - [i92]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 abs/2407.04331 (2024) - [i91]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 abs/2407.14676 (2024) - [i90]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 abs/2407.21016 (2024) - [i89]Avraham Chapman, Haiming Xu, Lingqiao Liu:
Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization. CoRR abs/2409.01672 (2024) - [i88]Yingshu Li, Zhanyu Wang, Yunyi Liu, Lei Wang, Lingqiao Liu, Luping Zhou:
KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models. CoRR abs/2409.05370 (2024) - [i87]Zicheng Duan, Yuxuan Ding, Chenhui Gou, Ziqin Zhou, Ethan Smith, Lingqiao Liu:
EZIGen: Enhancing zero-shot subject-driven image generation with precise subject encoding and decoupled guidance. CoRR abs/2409.08091 (2024) - [i86]Wenbo Zhang, Yang Li, Yanyuan Qiao, Siyuan Huang, Jiajun Liu, Feras Dayoub, Xiao Ma, Lingqiao Liu:
Effective Tuning Strategies for Generalist Robot Manipulation Policies. CoRR abs/2410.01220 (2024) - 2023
- [j39]Yuxuan Ding, Lingqiao Liu, Chunna Tian, Xiangnan Zhang, Xilan Tian:
Balanced image captioning with task-aware decoupled learning and fusion. Neurocomputing 538: 126159 (2023) - [j38]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: 4800-4811 (2023) - [j37]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): 8589-8601 (2023) - [c68]Qiaoyang Luo, Lingqiao Liu:
Zero-Shot Slot Filling with Slot-Prefix Prompting and Attention Relationship Descriptor. AAAI 2023: 13344-13352 - [c67]Ziqin Zhou, Yinjie Lei, Bowen Zhang, Lingqiao Liu, Yifan Liu:
ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation. CVPR 2023: 11175-11185 - [c66]Qingsheng Wang, Lingqiao Liu, Chenchen Jing, Hao Chen, Guoqiang Liang, Peng Wang, Chunhua Shen:
Learning Conditional Attributes for Compositional Zero-Shot Learning. CVPR 2023: 11197-11206 - [c65]Yangyang Shu, Anton van den Hengel, Lingqiao Liu:
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems. CVPR 2023: 11392-11401 - [c64]Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou:
METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens. CVPR 2023: 11558-11567 - [c63]Liang Chen, Yong Zhang, Yibing Song, Ying Shan, Lingqiao Liu:
Improved Test-Time Adaptation for Domain Generalization. CVPR 2023: 24172-24182 - [c62]Yuhao Lin, Haiming Xu, Lingqiao Liu, Jinan Zou, Javen Shi:
Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation. DICTA 2023: 32-40 - [c61]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: 4533-4559 - [c60]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: 323-330 - [c59]Liang Chen, Yong Zhang, Yibing Song, Anton van den Hengel, Lingqiao Liu:
Domain Generalization via Rationale Invariance. ICCV 2023: 1751-1760 - [c58]Hai-Ming Xu, Lingqiao Liu, Hao Chen, Ehsan Abbasnejad, Rafael Felix:
Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models. ICCV (Workshops) 2023: 3284-3294 - [c57]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: 2507-2515 - [c56]Yuxuan Ding, Chunna Tian, Haoxuan Ding, Lingqiao Liu:
The CLIP Model is Secretly an Image-to-Prompt Converter. NeurIPS 2023 - [c55]Bingliang Jiao, Lingqiao Liu, Liying Gao, Ruiqi Wu, Guosheng Lin, Peng Wang, Yanning Zhang:
Toward Re-Identifying Any Animal. NeurIPS 2023 - [i85]Yangyang Shu, Anton van den Hengel, Lingqiao Liu:
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems. CoRR abs/2303.01669 (2023) - [i84]Yuhao Lin, Haiming Xu, Lingqiao Liu, Jinan Zou, Javen Qinfeng Shi:
Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation. CoRR abs/2303.09794 (2023) - [i83]Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou:
METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens. CoRR abs/2304.02211 (2023) - [i82]Liang Chen, Yong Zhang, Yibing Song, Ying Shan, Lingqiao Liu:
Improved Test-Time Adaptation for Domain Generalization. CoRR abs/2304.04494 (2023) - [i81]Yuxuan Ding, Chunna Tian, Haoxuan Ding, Lingqiao Liu:
The CLIP Model is Secretly an Image-to-Prompt Converter. CoRR abs/2305.12716 (2023) - [i80]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 abs/2305.14104 (2023) - [i79]Qingsheng Wang, Lingqiao Liu, Chenchen Jing, Hao Chen, Guoqiang Liang, Peng Wang, Chunhua Shen:
Learning Conditional Attributes for Compositional Zero-Shot Learning. CoRR abs/2305.17940 (2023) - [i78]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 abs/2305.18026 (2023) - [i77]Xuan Ren, Lingqiao Liu:
You Can Generate It Again: Data-to-text Generation with Verification and Correction Prompting. CoRR abs/2306.15933 (2023) - [i76]Liang Chen, Yong Zhang, Yibing Song, Anton van den Hengel, Lingqiao Liu:
Domain Generalization via Rationale Invariance. CoRR abs/2308.11158 (2023) - [i75]Hai-Ming Xu, Lingqiao Liu, Hao Chen, Ehsan Abbasnejad, Rafael Felix:
Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models. CoRR abs/2309.04659 (2023) - [i74]Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou:
R2GenGPT: Radiology Report Generation with Frozen LLMs. CoRR abs/2309.09812 (2023) - [i73]Xiangyu Shi, Yanyuan Qiao, Qi Wu, Lingqiao Liu, Feras Dayoub:
Improving Online Source-free Domain Adaptation for Object Detection by Unsupervised Data Acquisition. CoRR abs/2310.19258 (2023) - [i72]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 abs/2310.20381 (2023) - 2022
- [j36]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): 1-2 (2022) - [j35]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): 2081-2102 (2022) - [j34]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): 6140-6152 (2022) - [j33]Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu:
Privileged multi-task learning for attribute-aware aesthetic assessment. Pattern Recognit. 132: 108921 (2022) - [j32]Lu Yang, Yunlong Wang, Lingqiao Liu, Peng Wang, Yanning Zhang:
Center Prediction Loss for Re-identification. Pattern Recognit. 132: 108949 (2022) - [j31]Xian Wang, Lingqiao Liu, Javen Qinfeng Shi:
Computationally Efficient Dilated Convolutional Model for Melody Extraction. IEEE Signal Process. Lett. 29: 1599-1603 (2022) - [j30]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): 2454-2465 (2022) - [c54]Haiming Xu, Hao Chen, Lingqiao Liu, Yufei Yin:
Dual Decision Improves Open-Set Panoptic Segmentation. BMVC 2022: 190 - [c53]Liang Chen, Yong Zhang, Yibing Song, Lingqiao Liu, Jue Wang:
Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection. CVPR 2022: 18689-18698 - [c52]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: 285-301 - [c51]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: 449-465 - [c50]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: 81-89 - [c49]Hai-Ming Xu, Lingqiao Liu, Ehsan Abbasnejad:
Progressive Class Semantic Matching for Semi-supervised Text Classification. NAACL-HLT 2022: 3003-3013 - [c48]Liang Chen, Yong Zhang, Yibing Song, Jue Wang, Lingqiao Liu:
OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training. NeurIPS 2022 - [c47]Haiming Xu, Lingqiao Liu, Qiuchen Bian, Zhen Yang:
Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization. NeurIPS 2022 - [i71]Lu Yang, Lingqiao Liu, Yunlong Wang, Peng Wang, Yanning Zhang:
Multi-Domain Joint Training for Person Re-Identification. CoRR abs/2201.01983 (2022) - [i70]Liang Chen, Yong Zhang, Yibing Song, Lingqiao Liu, Jue Wang:
Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection. CoRR abs/2203.12208 (2022) - [i69]Hai-Ming Xu, Lingqiao Liu, Ehsan Abbasnejad:
Progressive Class Semantic Matching for Semi-supervised Text Classification. CoRR abs/2205.10189 (2022) - [i68]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 abs/2206.06606 (2022) - [i67]Hai-Ming Xu, Hao Chen, Lingqiao Liu, Yufei Yin:
Two-stage Decision Improves Open-Set Panoptic Segmentation. CoRR abs/2207.02504 (2022) - [i66]Yuxuan Ding, Lingqiao Liu, Chunna Tian, Jingyuan Yang, Haoxuan Ding:
Don't Stop Learning: Towards Continual Learning for the CLIP Model. CoRR abs/2207.09248 (2022) - [i65]Lin Wu, Lingqiao Liu, Yang Wang, Zheng Zhang, Farid Boussaïd, Mohammed Bennamoun:
Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification. CoRR abs/2207.13037 (2022) - [i64]Yangyang Shu, Baosheng Yu, Hai-Ming Xu, Lingqiao Liu:
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism. CoRR abs/2208.00617 (2022) - [i63]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 abs/2208.09023 (2022) - [i62]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 abs/2208.09617 (2022) - [i61]Avraham Chapman, Lingqiao Liu:
Regularizing Neural Network Training via Identity-wise Discriminative Feature Suppression. CoRR abs/2209.14553 (2022) - [i60]Hai-Ming Xu, Lingqiao Liu, Qiuchen Bian, Zhen Yang:
Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization. CoRR abs/2210.04388 (2022) - [i59]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 abs/2212.02398 (2022) - [i58]Ziqin Zhou, Bowen Zhang, Yinjie Lei, Lingqiao Liu, Yifan Liu:
ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation. CoRR abs/2212.03588 (2022) - 2021
- [j29]Junjie Zhang, Lingqiao Liu, Peng Wang, Jian Zhang:
Exploring the auxiliary learning for long-tailed visual recognition. Neurocomputing 449: 303-314 (2021) - [j28]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): 102717 (2021) - [j27]Yinjie Lei, Yan Liu, Pingping Zhang, Lingqiao Liu:
Towards using count-level weak supervision for crowd counting. Pattern Recognit. 109: 107616 (2021) - [j26]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: 107924 (2021) - [j25]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): 3254-3265 (2021) - [j24]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: 6594-6608 (2021) - [c46]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: 2773-2782 - [c45]Hai-Ming Xu, Lingqiao Liu, Dong Gong:
Semi-supervised Learning via Conditional Rotation Angle Estimation. DICTA 2021: 1-8 - [c44]Liangyi Kang, Jie Liu, Lingqiao Liu, Dan Ye:
Label Definitions Augmented Interaction Model for Legal Charge Prediction. ECIR (1) 2021: 270-283 - [c43]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: 4300-4310 - [i57]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 abs/2103.05376 (2021) - [i56]Lu Yang, Yunlong Wang, Lingqiao Liu, Peng Wang, Lu Chi, Zehuan Yuan, Changhu Wang, Yanning Zhang:
Center Prediction Loss for Re-identification. CoRR abs/2104.14746 (2021) - [i55]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 abs/2104.14984 (2021) - [i54]Yingjie Zhou, Xucheng Song, Yanru Zhang, Fanxing Liu, Ce Zhu, Lingqiao Liu:
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection. CoRR abs/2105.10500 (2021) - [i53]Duo Peng, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Jun Liu:
Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation. CoRR abs/2108.02376 (2021) - 2020
- [j23]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): 479-499 (2020) - [j22]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): 2731-2743 (2020) - [j21]Yanjie Gou, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Xi Peng:
A Dynamic Parameter Enhanced Network for distant supervised relation extraction. Knowl. Based Syst. 197: 105912 (2020) - [j20]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): 1654-1669 (2020) - [j19]Lei Zhang, Peng Wang, Lingqiao Liu, Chunhua Shen, Wei Wei, Yanning Zhang, Anton van den Hengel:
Towards Effective Deep Embedding for Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 30(9): 2843-2852 (2020) - [j18]Shengqin Jiang, Xiaobo Lu, Yinjie Lei, Lingqiao Liu:
Mask-Aware Networks for Crowd Counting. IEEE Trans. Circuits Syst. Video Technol. 30(9): 3119-3129 (2020) - [c42]Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices. AAAI 2020: 12071-12078 - [c41]Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid:
Training Quantized Neural Networks With a Full-Precision Auxiliary Module. CVPR 2020: 1485-1494 - [c40]Yan Liu, Lingqiao Liu, Peng Wang, Pingping Zhang, Yinjie Lei:
Semi-supervised Crowd Counting via Self-training on Surrogate Tasks. ECCV (15) 2020: 242-259 - [c39]Xian Wang, Lingqiao Liu, Qinfeng Shi:
Harmonic Structure-Based Neural Network Model for Music Pitch Detection. ICMLA 2020: 87-92 - [c38]Xian Wang, Lingqiao Liu, Qinfeng Shi:
Enhancing Piano Transcription by Dilated Convolution. ICMLA 2020: 1446-1453 - [c37]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: 8439-8446 - [c36]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: 1490-1493 - [i52]Hai-Ming Xu, Lingqiao Liu, Dong Gong:
Semi-supervised Learning via Conditional Rotation Angle Estimation. CoRR abs/2001.02865 (2020) - [i51]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 abs/2002.04227 (2020) - [i50]Yinjie Lei, Yan Liu, Pingping Zhang, Lingqiao Liu:
Towards Using Count-level Weak Supervision for Crowd Counting. CoRR abs/2003.00164 (2020) - [i49]Yan Liu, Lingqiao Liu, Peng Wang, Pingping Zhang, Yinjie Lei:
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks. CoRR abs/2007.03207 (2020) - [i48]Yanjie Gou, Yinjie Lei, Lingqiao Liu:
Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems. CoRR abs/2010.05740 (2020) - [i47]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. CoRR abs/2010.13357 (2020)
2010 – 2019
- 2019
- [j17]Peng Wang, Lingqiao Liu, Chunhua Shen, Heng Tao Shen:
Order-aware convolutional pooling for video based action recognition. Pattern Recognit. 91: 357-365 (2019) - [j16]Yinjie Lei, Ziqin Zhou, Pingping Zhang, Yulan Guo, Zijun Ma, Lingqiao Liu:
Deep point-to-subspace metric learning for sketch-based 3D shape retrieval. Pattern Recognit. 96 (2019) - [j15]Xiu-Shen Wei, Peng Wang, Lingqiao Liu, Chunhua Shen, Jianxin Wu:
Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples. IEEE Trans. Image Process. 28(12): 6116-6125 (2019) - [c35]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation. CVPR 2019: 413-422 - [c34]M. Ehsan Abbasnejad, Qinfeng Shi, Anton van den Hengel, Lingqiao Liu:
A Generative Adversarial Density Estimator. CVPR 2019: 10782-10791 - [c33]Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel:
Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection. ICCV 2019: 1705-1714 - [c32]Xian Wang, Lingqiao Liu, Qinfeng Shi:
Exploiting Stereo Sound Channels to Boost Performance of Neural Network-Based Music Transcription. ICMLA 2019: 1353-1358 - [i46]Shengqin Jiang, Xiaobo Lu, Yinjie Lei, Lingqiao Liu:
Mask-aware networks for crowd counting. CoRR abs/1901.00039 (2019) - [i45]Yu Liu, Lingqiao Liu, Seyed Hamid Rezatofighi, Thanh-Toan Do, Qinfeng Shi, Ian D. Reid:
Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes. CoRR abs/1901.03796 (2019) - [i44]Xiu-Shen Wei, Quan Cui, Lei Yang, Peng Wang, Lingqiao Liu:
RPC: A Large-Scale Retail Product Checkout Dataset. CoRR abs/1901.07249 (2019) - [i43]Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid:
Training Quantized Network with Auxiliary Gradient Module. CoRR abs/1903.11236 (2019) - [i42]Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel:
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection. CoRR abs/1904.02639 (2019) - [i41]Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices. CoRR abs/1907.12271 (2019) - [i40]Bohan Zhuang, Jing Liu, Mingkui Tan, Lingqiao Liu, Ian D. Reid, Chunhua Shen:
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations. CoRR abs/1908.04680 (2019) - [i39]Yu Liu, Yutong Dai, Anh-Dzung Doan, Lingqiao Liu, Ian D. Reid:
In defense of OSVOS. CoRR abs/1908.06692 (2019) - [i38]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Structured Binary Neural Networks for Image Recognition. CoRR abs/1909.09934 (2019) - [i37]Yu Liu, Lingqiao Liu, Haokui Zhang, Seyed Hamid Rezatofighi, Ian D. Reid:
Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation. CoRR abs/1909.13046 (2019) - [i36]Liangyi Kang, Jie Liu, Lingqiao Liu, Qinfeng Shi, Dan Ye:
Creating Auxiliary Representations from Charge Definitions for Criminal Charge Prediction. CoRR abs/1911.05202 (2019) - [i35]Yanjie Gou, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Jingyi Zhang, Xi Peng:
DNNRE: A Dynamic Neural Network for Distant Supervised Relation Extraction. CoRR abs/1911.06489 (2019) - [i34]Junjie Zhang, Lingqiao Liu, Peng Wang, Chunhua Shen:
To Balance or Not to Balance: An Embarrassingly Simple Approach for Learning with Long-Tailed Distributions. CoRR abs/1912.04486 (2019) - 2018
- [j14]Zetao Chen, Lingqiao Liu, Inkyu Sa, Zongyuan Ge, Margarita Chli:
Learning Context Flexible Attention Model for Long-Term Visual Place Recognition. IEEE Robotics Autom. Lett. 3(4): 4015-4022 (2018) - [c31]Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu:
Coarse-to-Fine: A RNN-Based Hierarchical Attention Model for Vehicle Re-identification. ACCV (2) 2018: 575-591 - [c30]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Towards Effective Low-Bitwidth Convolutional Neural Networks. CVPR 2018: 7920-7928 - [c29]Jie Yang, Dong Gong, Lingqiao Liu, Qinfeng Shi:
Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal. ECCV (3) 2018: 675-691 - [i33]Xiu-Shen Wei, Peng Wang, Lingqiao Liu, Chunhua Shen, Jianxin Wu:
Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples. CoRR abs/1805.04288 (2018) - [i32]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. CoRR abs/1806.01576 (2018) - [i31]Lei Zhang, Peng Wang, Lingqiao Liu, Chunhua Shen, Wei Wei, Yanning Zhang, Anton van den Hengel:
Towards Effective Deep Embedding for Zero-Shot Learning. CoRR abs/1808.10075 (2018) - [i30]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation. CoRR abs/1811.10413 (2018) - [i29]Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu:
Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification. CoRR abs/1812.04239 (2018) - 2017
- [j13]Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Mining Mid-level Visual Patterns with Deep CNN Activations. Int. J. Comput. Vis. 121(3): 344-364 (2017) - [j12]Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Cross-Convolutional-Layer Pooling for Image Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 39(11): 2305-2313 (2017) - [j11]Lingqiao Liu, Peng Wang, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang, Heng Tao Shen:
Compositional Model Based Fisher Vector Coding for Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 39(12): 2335-2348 (2017) - [j10]Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition. Pattern Recognit. 66: 202-212 (2017) - [j9]Peng Wang, Yuanzhouhan Cao, Chunhua Shen, Lingqiao Liu, Heng Tao Shen:
Temporal Pyramid Pooling-Based Convolutional Neural Network for Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 27(12): 2613-2622 (2017) - [j8]Lei Wang, Lingqiao Liu, Luping Zhou:
A Graph-Embedding Approach to Hierarchical Visual Word Mergence. IEEE Trans. Neural Networks Learn. Syst. 28(2): 308-320 (2017) - [c28]Tong Shen, Guosheng Lin, Lingqiao Liu, Chunhua Shen, Ian Reid:
Weakly Supervised Semantic Segmentation Based on Co-segmentation. BMVC 2017 - [c27]Bohan Zhuang, Lingqiao Liu, Yao Li, Chunhua Shen, Ian D. Reid:
Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning from Web Data. CVPR 2017: 2915-2924 - [c26]Damien Teney, Lingqiao Liu, Anton van den Hengel:
Graph-Structured Representations for Visual Question Answering. CVPR 2017: 3233-3241 - [c25]Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian D. Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur. CVPR 2017: 3806-3815 - [c24]Yao Li, Guosheng Lin, Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Sequential Person Recognition in Photo Albums with a Recurrent Network. CVPR 2017: 5660-5668 - [c23]Peng Wang, Lingqiao Liu, Chunhua Shen, Zi Huang, Anton van den Hengel, Heng Tao Shen:
Multi-attention Network for One Shot Learning. CVPR 2017: 6212-6220 - [c22]Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Ian D. Reid:
Towards Context-Aware Interaction Recognition for Visual Relationship Detection. ICCV 2017: 589-598 - [c21]Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang:
Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation. ICCV 2017: 1221-1230 - [c20]Zetao Chen, Adam Jacobson, Niko Sünderhauf, Ben Upcroft, Lingqiao Liu, Chunhua Shen, Ian D. Reid, Michael Milford:
Deep learning features at scale for visual place recognition. ICRA 2017: 3223-3230 - [i28]Zetao Chen, Adam Jacobson, Niko Sünderhauf, Ben Upcroft, Lingqiao Liu, Chunhua Shen, Ian D. Reid, Michael Milford:
Deep Learning Features at Scale for Visual Place Recognition. CoRR abs/1701.05105 (2017) - [i27]Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Ian D. Reid:
Towards Context-aware Interaction Recognition. CoRR abs/1703.06246 (2017) - [i26]Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang:
Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation. CoRR abs/1705.00389 (2017) - [i25]Tong Shen, Guosheng Lin, Lingqiao Liu, Chunhua Shen, Ian D. Reid:
Weakly Supervised Semantic Segmentation Based on Co-segmentation. CoRR abs/1705.09052 (2017) - [i24]Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Visually Aligned Word Embeddings for Improving Zero-shot Learning. CoRR abs/1707.05427 (2017) - [i23]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Towards Effective Low-bitwidth Convolutional Neural Networks. CoRR abs/1711.00205 (2017) - [i22]Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang:
Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization. CoRR abs/1711.00253 (2017) - 2016
- [j7]Lingqiao Liu, Lei Wang, Chunhua Shen:
A Generalized Probabilistic Framework for Compact Codebook Creation. IEEE Trans. Pattern Anal. Mach. Intell. 38(2): 224-237 (2016) - [j6]Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen:
Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2269-2283 (2016) - [c19]Qi Wu, Chunhua Shen, Lingqiao Liu, Anthony R. Dick, Anton van den Hengel:
What Value Do Explicit High Level Concepts Have in Vision to Language Problems? CVPR 2016: 203-212 - [c18]Peng Wang, Lingqiao Liu, Chunhua Shen, Zi Huang, Anton van den Hengel, Heng Tao Shen:
What's Wrong with That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution. CVPR 2016: 1573-1581 - [c17]Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Less is More: Zero-Shot Learning from Online Textual Documents with Noise Suppression. CVPR 2016: 2249-2257 - [c16]ZongYuan Ge, Chris McCool, Conrad Sanderson, Peng Wang, Lingqiao Liu, Ian D. Reid, Peter I. Corke:
Exploiting Temporal Information for DCNN-Based Fine-Grained Object Classification. DICTA 2016: 1-6 - [c15]Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution. ECCV (2) 2016: 19-34 - [i21]Lingqiao Liu, Peng Wang, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang, Heng Tao Shen:
Compositional Model based Fisher Vector Coding for Image Classification. CoRR abs/1601.04143 (2016) - [i20]Peng Wang, Lingqiao Liu, Chunhua Shen, Heng Tao Shen:
Order-aware Convolutional Pooling for Video Based Action Recognition. CoRR abs/1602.00224 (2016) - [i19]Peng Wang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel, Heng Tao Shen:
Hi Detector, What's Wrong with that Object? Identifying Irregular Object From Images by Modelling the Detection Score Distribution. CoRR abs/1602.04422 (2016) - [i18]Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution. CoRR abs/1603.04619 (2016) - [i17]Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Less is more: zero-shot learning from online textual documents with noise suppression. CoRR abs/1604.01146 (2016) - [i16]Jiewei Cao, Lingqiao Liu, Peng Wang, Zi Huang, Chunhua Shen, Heng Tao Shen:
Where to Focus: Query Adaptive Matching for Instance Retrieval Using Convolutional Feature Maps. CoRR abs/1606.06811 (2016) - [i15]ZongYuan Ge, Chris McCool, Conrad Sanderson, Peng Wang, Lingqiao Liu, Ian D. Reid, Peter I. Corke:
Exploiting Temporal Information for DCNN-based Fine-Grained Object Classification. CoRR abs/1608.00486 (2016) - [i14]Damien Teney, Lingqiao Liu, Anton van den Hengel:
Graph-Structured Representations for Visual Question Answering. CoRR abs/1609.05600 (2016) - [i13]Bohan Zhuang, Lingqiao Liu, Yao Li, Chunhua Shen, Ian D. Reid:
Attend in groups: a weakly-supervised deep learning framework for learning from web data. CoRR abs/1611.09960 (2016) - [i12]Yao Li, Guosheng Lin, Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Sequential Person Recognition in Photo Albums with a Recurrent Network. CoRR abs/1611.09967 (2016) - [i11]Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian D. Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur. CoRR abs/1612.02583 (2016) - 2015
- [j5]Chao Wang, Lei Wang, Lingqiao Liu:
Density Maximization for Improving Graph Matching With Its Applications. IEEE Trans. Image Process. 24(7): 2110-2123 (2015) - [c14]Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Mid-level deep pattern mining. CVPR 2015: 971-980 - [c13]Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification. CVPR 2015: 4749-4757 - [i10]Peng Wang, Yuanzhouhan Cao, Chunhua Shen, Lingqiao Liu, Heng Tao Shen:
Temporal Pyramid Pooling Based Convolutional Neural Networks for Action Recognition. CoRR abs/1503.01224 (2015) - [i9]Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition. CoRR abs/1504.04923 (2015) - [i8]Qi Wu, Chunhua Shen, Anton van den Hengel, Lingqiao Liu, Anthony R. Dick:
Image Captioning with an Intermediate Attributes Layer. CoRR abs/1506.01144 (2015) - [i7]Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Mining Mid-level Visual Patterns with Deep CNN Activations. CoRR abs/1506.06343 (2015) - [i6]Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen:
Learning Discriminative Bayesian Networks from High-dimensional Continuous Neuroimaging Data. CoRR abs/1506.06868 (2015) - [i5]Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Cross-convolutional-layer Pooling for Generic Visual Recognition. CoRR abs/1510.00921 (2015) - 2014
- [j4]Lei Wang, Luping Zhou, Chunhua Shen, Lingqiao Liu, Huan Liu:
A Hierarchical Word-Merging Algorithm with Class Separability Measure. IEEE Trans. Pattern Anal. Mach. Intell. 36(3): 417-435 (2014) - [j3]Lingqiao Liu, Lei Wang:
HEp-2 cell image classification with multiple linear descriptors. Pattern Recognit. 47(7): 2400-2408 (2014) - [c12]Chao Wang, Lei Wang, Lingqiao Liu:
Progressive Mode-Seeking on Graphs for Sparse Feature Matching. ECCV (2) 2014: 788-802 - [c11]Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen:
Max-Margin Based Learning for Discriminative Bayesian Network from Neuroimaging Data. MICCAI (3) 2014: 321-328 - [c10]Lingqiao Liu, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang:
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors. NIPS 2014: 1143-1151 - [i4]Lingqiao Liu, Lei Wang, Chunhua Shen:
A Generalized Probabilistic Framework for Compact Codebook Creation. CoRR abs/1401.7713 (2014) - [i3]Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
Mid-level Deep Pattern Mining. CoRR abs/1411.6382 (2014) - [i2]Lingqiao Liu, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang:
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors. CoRR abs/1411.6406 (2014) - [i1]Lingqiao Liu, Chunhua Shen, Anton van den Hengel:
The Treasure beneath Convolutional Layers: Cross-convolutional-layer Pooling for Image Classification. CoRR abs/1411.7466 (2014) - 2013
- [j2]Xinwang Liu, Jianping Yin, Lei Wang, Lingqiao Liu, Jun Liu, Chenping Hou, Jian Zhang:
An Adaptive Approach to Learning Optimal Neighborhood Kernels. IEEE Trans. Cybern. 43(1): 371-384 (2013) - [c9]Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen:
Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network. CVPR 2013: 2243-2250 - [c8]Jianjia Zhang, Lei Wang, Lingqiao Liu, Luping Zhou, Wanqing Li:
Accelerating the Divisive Information-Theoretic Clustering of Visual Words. DICTA 2013: 1-8 - [c7]Lingqiao Liu, Lei Wang:
A Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data. ICCV 2013: 3008-3015 - [c6]Chao Wang, Lei Wang, Lingqiao Liu:
Improving Graph Matching via Density Maximization. ICCV 2013: 3424-3431 - 2012
- [j1]Xinwang Liu, Lei Wang, Jianping Yin, Lingqiao Liu:
Incorporation of radius-info can be simple with SimpleMKL. Neurocomputing 89: 30-38 (2012) - [c5]Lingqiao Liu, Lei Wang:
What has my classifier learned? Visualizing the classification rules of bag-of-feature model by support region detection. CVPR 2012: 3586-3593 - 2011
- [c4]Lingqiao Liu, Lei Wang, Chunhua Shen:
A generalized probabilistic framework for compact codebook creation. CVPR 2011: 1537-1544 - [c3]Lingqiao Liu, Lei Wang, Xinwang Liu:
In defense of soft-assignment coding. ICCV 2011: 2486-2493 - [c2]Lingqiao Liu, Lei Wang:
Exploring latent class information for image retrieval using the bag-of-feature model. ACM Multimedia 2011: 1405-1408
2000 – 2009
- 2008
- [c1]Lingqiao Liu, Zhizhong Fu, Jingjing Xie, Wei Qian:
Edge Mapping: A New Motion Estimation Method for Video Stabilization. ISCSCT (2) 2008: 440-444
Coauthor Index
[c66] [i79] [j35] [j34] [j23] [j20] [j19] [c42] [c41] [c36] [j17] [j15] [c35] [i43] [i41] [i40] [i38] [i34] [c31] [c30] [i33] [i32] [i31] [i30] [i29] [j13] [j12] [j11] [j10] [j9] [c28] [c27] [c25] [c24] [c23] [c22] [c21] [c20] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [j7] [c19] [c18] [c17] [c15] [i21] [i20] [i19] [i18] [i17] [i16] [i13] [i12] [i11] [c14] [c13] [i10] [i9] [i8] [i7] [i5] [j4] [c10] [i4] [i3] [i2] [i1] [c4]
Haiming Xu
aka: Hai-Ming Xu
aka: Hai-Ming Xu
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