Lingbo Liu
Lingbo Liu
Hong Kong Polytechnic University <- Sun Yat-Sen University
Verified email at - Homepage
Cited by
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Disc: Deep image saliency computing via progressive representation learning
T Chen, L Lin, L Liu, X Luo, X Li
IEEE transactions on neural networks and learning systems 27 (6), 1135-1149, 2016
Crowd counting using deep recurrent spatial-aware network
L Liu, H Wang, G Li, W Ouyang, L Lin
International Joint Conference on Artificial Intelligence, 2018
Crowd Counting with Deep Structured Scale Integration Network
L Liu, Z Qiu, G Li, S Liu, W Ouyang, L Lin
ICCV 2019, 2019
Contextualized spatial–temporal network for taxi origin-destination demand prediction
L Liu, Z Qiu, G Li, Q Wang, W Ouyang, L Lin
IEEE Transactions on Intelligent Transportation Systems 20 (10), 3875-3887, 2019
Attentive crowd flow machines
L Liu, R Zhang, J Peng, G Li, B Du, L Lin
ACM Multimedia Conference on Multimedia Conference (ACM MM), 2018
Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction
L Liu, J Zhen, G Li, G Zhan, Z He, B Du, L Lin
IEEE Transactions on Intelligent Transportation Systems, 2020
Deep learning-based investigation of wind pressures on tall building under interference effects
G Hu, L Liu, D Tao, J Song, KT Tse, KCS Kwok
Journal of Wind Engineering and Industrial Aerodynamics 201, 104138, 2020
Facial landmark machines: A backbone-branches architecture with progressive representation learning
L Liu, G Li, Y Xie, Y Yu, Q Wang, L Lin
IEEE Transactions on Multimedia 21 (9), 2248-2262, 2019
Physical-Virtual Collaboration Modeling for Intra-and Inter-Station Metro Ridership Prediction
L Liu, J Chen, H Wu, J Zhen, G Li, L Lin
IEEE Transactions on Intelligent Transportation Systems, 2020
Crowd counting via multi-view scale aggregation networks
Z Qiu, L Liu, G Li, Q Wang, N Xiao, L Lin
2019 IEEE International Conference on Multimedia and Expo (ICME), 1498-1503, 2019
Efficient Crowd Counting via Structured Knowledge Transfer
L Liu, J Chen, H Wu, T Chen, G Li, L Lin
Proceedings of the 28th ACM International Conference on Multimedia, 2645–2654, 2020
Face recognition by coarse-to-fine landmark regression with application to atm surveillance
Y Li, L Liu, L Lin, Q Wang
CCF Chinese Conference on Computer Vision, 62-73, 2017
Crowd counting via scale-communicative aggregation networks
L Yuan, Z Qiu, L Liu, H Wu, T Chen, P Chen, L Lin
Neurocomputing 409, 420-430, 2020
Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting
L Liu, J Chen, H Wu, G Li, C Li, L Lin
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021
Cross-domain facial expression recognition: A unified evaluation benchmark and adversarial graph learning
T Chen, T Pu, H Wu, Y Xie, L Liu, L Lin
arXiv preprint arXiv:2008.00923, 2020
GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning
J Chen, J Tang, J Qin, X Liang, L Liu, E Xing, L Lin
ACL, 2021
Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation
L Liu, Y Zhu, G Li, Z Wu, L Bai, L Lin
arXiv preprint arXiv:2107.00946, 2021
GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer
S Li, Q Cao, L Liu, K Yang, S Liu, J Hou, S Yi
IEEE International Conference on Computer Vision (ICCV), 2021
Road Network Guided Fine-Grained Urban Traffic Flow Inference
L Liu, M Liu, G Li, Z Wu, L Lin
arXiv preprint arXiv:2109.14251, 2021
Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark
H Li, L Liu, K Yang, S Liu, J Gao, B Zhao, R Zhang, J Hou
arXiv preprint arXiv:2107.08645, 2021
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