Fangyu Liu
Cytowane przez
Cytowane przez
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds
F Liu*, S Li*, L Zhang, C Zhou, R Ye, Y Wang, J Lu
ICCV 2017, 2017
Self-Alignment Pretraining for Biomedical Entity Representations
F Liu, E Shareghi, Z Meng, M Basaldella, N Collier
NAACL 2021, 2021
Large-scale urban point cloud labeling and reconstruction
L Zhang, Z Li, A Li, F Liu
ISPRS Journal of Photogrammetry and Remote Sensing 138, 86-100, 2018
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders
F Liu, I Vulić, A Korhonen, N Collier
EMNLP 2021, 2021
Visual Pivoting for (Unsupervised) Entity Alignment
F Liu, M Chen, D Roth, N Collier
AAAI 2021, 2021
A hierarchical methodology for urban facade parsing from TLS point clouds
Z Li, L Zhang, PT Mathiopoulos, F Liu, L Zhang, S Li, H Liu
ISPRS Journal of Photogrammetry and Remote Sensing 123, 75-93, 2017
COMETA: A Corpus for Medical Entity Linking in the Social Media
M Basaldella*, F Liu*, E Shareghi, N Collier
EMNLP 2020, 2020
Visually Grounded Reasoning across Languages and Cultures
F Liu*, E Bugliarello*, EM Ponti, S Reddy, N Collier, D Elliott
EMNLP 2021, 2021
3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks
R Ye, F Liu, L Zhang
Lecture Notes in Computer Science: Advances in Artificial Intelligence 11489 …, 2019
Contrastive Out-of-Distribution Detection for Pretrained Transformers
W Zhou, F Liu, M Chen
EMNLP 2021, 2021
HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs
F Liu*, R Ye*, X Wang*, S Li
AAAI 2020, 2020
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation
JH Huang, CHH Yang, F Liu, M Tian, YC Liu, TW Wu, I Lin, K Wang, ...
WACV 2021, 2021
A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases
CHH Yang, JH Huang, F Liu, FY Chiu, M Gao, W Lyu, J Tegner
Workshop on Computational Biology, ICML 2018, 2018
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
Y Su, F Liu, Z Meng, L Shu, E Shareghi, N Collier
NAACL-Findings 2022, 2022
Language models can see: plugging visual controls in text generation
Y Su, T Lan, Y Liu, F Liu, D Yogatama, Y Wang, L Kong, N Collier
arXiv preprint arXiv:2205.02655, 2022
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT
Z Meng, F Liu, TH Clark, E Shareghi, N Collier
EMNLP 2021, 2021
Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model
CHH Yang, F Liu, JH Huang, M Tian, YC Liu, I Lin, J Tegner
AIRIA: AI for Retinal Image Analysis Workshop, ACCV 2018, 2018
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages
E Bugliarello, F Liu, J Pfeiffer, S Reddy, D Elliott, EM Ponti, I Vulić
ICML 2022, 2022
Joint discriminative dictionary and classifier learning for ALS point cloud classification
Z Zhang, L Zhang, Y Tan, L Zhang, F Liu, R Zhong
IEEE Transactions on Geoscience and Remote Sensing 56 (1), 524-538, 2017
A Strong and Robust Baseline for Text-Image Matching
F Liu, R Ye
ACL 2019 Student Research Workshop, 2019
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