Lianli Gao
Lianli Gao
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Video captioning with attention-based LSTM and semantic consistency
L Gao, Z Guo, H Zhang, X Xu, HT Shen
IEEE Transactions on Multimedia 19 (9), 2045-2055, 2017
Beyond frame-level CNN: saliency-aware 3-D CNN with LSTM for video action recognition
X Wang, L Gao, J Song, H Shen
IEEE signal processing letters 24 (4), 510-514, 2016
Hierarchical LSTMs with adaptive attention for visual captioning
L Gao, X Li, J Song, HT Shen
IEEE transactions on pattern analysis and machine intelligence 42 (5), 1112-1131, 2019
Self-supervised video hashing with hierarchical binary auto-encoder
J Song, H Zhang, X Li, L Gao, M Wang, R Hong
IEEE Transactions on Image Processing 27 (7), 3210-3221, 2018
From deterministic to generative: Multimodal stochastic RNNs for video captioning
J Song, Y Guo, L Gao, X Li, A Hanjalic, HT Shen
IEEE transactions on neural networks and learning systems 30 (10), 3047-3058, 2018
Beyond rnns: Positional self-attention with co-attention for video question answering
X Li, J Song, L Gao, X Liu, W Huang, X He, C Gan
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8658-8665, 2019
Neighbourhood watch: Referring expression comprehension via language-guided graph attention networks
P Wang, Q Wu, J Cao, C Shen, L Gao, A Hengel
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Deep adversarial metric learning for cross-modal retrieval
X Xu, L He, H Lu, L Gao, Y Ji
World Wide Web 22, 657-672, 2019
Binary generative adversarial networks for image retrieval
J Song, T He, L Gao, X Xu, A Hanjalic, HT Shen
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
Quantization-based hashing: a general framework for scalable image and video retrieval
J Song, L Gao, L Liu, X Zhu, N Sebe
Pattern Recognition 75, 175-187, 2018
Hierarchical LSTM with adjusted temporal attention for video captioning
J Song, Z Guo, L Gao, W Liu, D Zhang, HT Shen
arXiv preprint arXiv:1706.01231, 2017
Optimized graph learning using partial tags and multiple features for image and video annotation
J Song, L Gao, F Nie, HT Shen, Y Yan, N Sebe
IEEE Transactions on Image Processing 25 (11), 4999-5011, 2016
Love thy neighbour: automatic animal behavioural classification of acceleration data using the k-nearest neighbour algorithm
OR Bidder, HA Campbell, A Gómez-Laich, P Urgé, J Walker, Y Cai, L Gao, ...
PloS one 9 (2), e88609, 2014
Mathdqn: Solving arithmetic word problems via deep reinforcement learning
L Wang, D Zhang, L Gao, J Song, L Guo, HT Shen
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
Learning in high-dimensional multimedia data: the state of the art
L Gao, J Song, X Liu, J Shao, J Liu, J Shao
Multimedia Systems 23, 303-313, 2017
Template-based math word problem solvers with recursive neural networks
L Wang, D Zhang, J Zhang, X Xu, L Gao, BT Dai, HT Shen
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7144-7151, 2019
Optimal Graph Learning with Partial Tags and Multiple Features for Image and Video Annotation
L Gao, J Song, F Nie, Y Yan, N Sebe, HT Shen
IEEE Computer Vision and Pattern Recognition 44 (7), 1225-1236, 2015
Creating a behavioural classification module for acceleration data: using a captive surrogate for difficult to observe species
HA Campbell, L Gao, OR Bidder, J Hunter, CE Franklin
Journal of Experimental Biology 216 (24), 4501-4506, 2013
Dual Conditional GANs for Face Aging and Rejuvenation.
J Song, J Zhang, L Gao, X Liu, HT Shen
IJCAI, 899-905, 2018
Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network.
L Chen, Y Liu, X He, L Gao, Z Zheng
IJCAI, 2095-2101, 2019
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