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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) - [c75]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 - [c74]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 - [c73]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 - [c72]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. ECCV (89) 2024: 101-117 - [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 - [i104]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) - [i103]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) - [i102]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) - [i101]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) - [i100]Liang Chen, Yong Zhang, Yibing Song, Zhen Zhang, Lingqiao Liu:
A Causal Inspired Early-Branching Structure for Domain Generalization. CoRR abs/2403.08649 (2024) - [i99]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) - [i98]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) - [i97]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) - [i96]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) - [i95]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) - [i94]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) - [i93]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) - [i92]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) - [i91]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) - [i90]Liang Chen, Yong Zhang, Yibing Song, Zhiqiang Shen, Lingqiao Liu:
LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization. CoRR abs/2410.17020 (2024) - [i89]Yunyi Liu, Yingshu Li, Zhanyu Wang, Xinyu Liang, Lingqiao Liu, Lei Wang, Luping Zhou:
ER2Score: LLM-based Explainable and Customizable Metric for Assessing Radiology Reports with Reward-Control Loss. CoRR abs/2411.17301 (2024) - [i88]ShuaiHeng Li, Qing Cai, Fan Zhang, Menghuan Zhang, Yangyang Shu, Zhi Liu, Huafeng Li, Lingqiao Liu:
PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition. CoRR abs/2412.00134 (2024) - [i87]Yuhao Lin, Lingqiao Liu, Javen Shi:
Categorical Keypoint Positional Embedding for Robust Animal Re-Identification. CoRR abs/2412.00818 (2024) - [i86]Hai-Ming Xu, Qi Chen, Lei Wang, Lingqiao Liu:
Attention-driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models without Fine-Tuning. CoRR abs/2412.10840 (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,