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Wanqing Li 0001
Person information
- affiliation: University of Wollongong, NSW, Australia
- affiliation (PhD): University of Western Australia, Perth, WA, Australia
Other persons with the same name
- Wanqing Li 0002 — Hebei Engineering University, Handan, China
- Wanqing Li 0003 — Hangzhou Dianzi University, School of Computer Science and Technology, China (and 1 more)
- Wanqing Li 0004 — Beijing Normal University, Center for Collaboration and Innovation in Brain and Learning Sciences, China
- Wanqing Li 0005
— Sun Yat-sen University, School of Electronics and Communication Engineering, Guangzhou, China
- Wanqing Li 0006
— Southwestern University of Finance and Economics, Chengdu, China
- Wanqing Li 0007 — ByteDance, China
- Wanqing Li 0008 — Yanshan University, School of Information Science and Engineering, China
- Wanqing Li 0009 — Western Sydney University, School of Computer, Data and Mathematical Sciences, Penrith, Australia
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2020 – today
- 2025
- [j79]Tianchen Li
, Pei Geng
, Xuequan Lu
, Wanqing Li
, Lei Lyu
:
Skeleton-based action recognition through attention guided heterogeneous graph neural network. Knowl. Based Syst. 309: 112868 (2025) - 2024
- [j78]Chuankun Li, Shuai Li
, Yanbo Gao, Lijuan Zhou, Wanqing Li:
Static graph convolution with learned temporal and channel-wise graph topology generation for skeleton-based action recognition. Comput. Vis. Image Underst. 244: 104012 (2024) - [j77]Zewei Ding, Wanqing Li
, Jie Yang
, Philip Ogunbona
, Ling Qin:
An attention-based CNN for automatic whole-body postural assessment. Expert Syst. Appl. 238(Part F): 122391 (2024) - [j76]Chuankun Li, Yonghong Hou, Wanqing Li
, Zewei Ding, Pichao Wang:
DFN: A deep fusion network for flexible single and multi-modal action recognition. Expert Syst. Appl. 245: 123145 (2024) - [j75]Zhihao Li
, Biao Hou
, Wanqing Li
, Zitong Wu
, Bo Ren
, Licheng Jiao
:
MGC: MLP-Guided CNN Pretraining Using a Small-Scale Dataset for Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j74]Pei Geng
, Xuequan Lu
, Wanqing Li
, Lei Lyu
:
Hierarchical Aggregated Graph Neural Network for Skeleton-Based Action Recognition. IEEE Trans. Multim. 26: 11003-11017 (2024) - [j73]Bo Peng
, Lin Sun
, Jianjun Lei
, Bingzheng Liu
, Haifeng Shen
, Wanqing Li
, Qingming Huang
:
Self-Supervised Monocular Depth Estimation via Binocular Geometric Correlation Learning. ACM Trans. Multim. Comput. Commun. Appl. 20(8): 250:1-250:19 (2024) - [c103]Chao Liu
, Jie Yang
, Wanqing Li
:
Extractive Question Answering with Contrastive Puzzles and Reweighted Clues. ICDAR (6) 2024: 97-112 - [c102]Xiang Liu, Chuankun Li, Shuai Li, Wanqing Li, Danyan Xie:
Frequency-Domain Transformation-Based Dynamic Gesture Recognition with Skeleton. PRCV (3) 2024: 173-185 - [i49]Chuankun Li, Shuai Li, Yanbo Gao, Ping Chen, Jian Li, Wanqing Li:
Unsupervised Spatial-Temporal Feature Enrichment and Fidelity Preservation Network for Skeleton based Action Recognition. CoRR abs/2401.14034 (2024) - [i48]Shanaka Ramesh Gunasekara, Wanqing Li, Jack Yang, Philip Ogunbona:
Joint Temporal Pooling for Improving Skeleton-based Action Recognition. CoRR abs/2408.09356 (2024) - [i47]Xu Dong, Xinran Liu, Wanqing Li, Anthony Adeyemi-Ejeye, Andrew Gilbert:
Interpretable Long-term Action Quality Assessment. CoRR abs/2408.11687 (2024) - 2023
- [j72]Lili Xia
, Jianpeng An, Chao Ma, Hongjun Hou, Yanpeng Hou, Linyang Cui, Xuheng Jiang, Wanqing Li, Zhongke Gao:
Neural network model based on global and local features for multi-view mammogram classification. Neurocomputing 536: 21-29 (2023) - [j71]Zihui Guo
, Yonghong Hou, Renyi Xiao, Chuankun Li, Wanqing Li:
Motion saliency based hierarchical attention network for action recognition. Multim. Tools Appl. 82(3): 4533-4550 (2023) - [j70]Zihui Guo, Yonghong Hou, Pichao Wang, Zhimin Gao
, Mingliang Xu, Wanqing Li:
FT-HID: a large-scale RGB-D dataset for first- and third-person human interaction analysis. Neural Comput. Appl. 35(2): 2007-2024 (2023) - [j69]Zihui Guo
, Yonghong Hou, Wanqing Li:
Sign language recognition via dimensional global-local shift and cross-scale aggregation. Neural Comput. Appl. 35(17): 12481-12493 (2023) - [j68]Chuankun Li
, Shuai Li
, Yanbo Gao
, Lina Guo, Wanqing Li
:
Improved Shift Graph Convolutional Network for Action Recognition With Skeleton. IEEE Signal Process. Lett. 30: 438-442 (2023) - [j67]Jun Wang
, Chang Tang
, Xinwang Liu
, Wei Zhang
, Wanqing Li
, Xinzhong Zhu
, Lizhe Wang
, Albert Y. Zomaya
:
Region-Aware Hierarchical Latent Feature Representation Learning-Guided Clustering for Hyperspectral Band Selection. IEEE Trans. Cybern. 53(8): 5250-5263 (2023) - [j66]Jianjun Lei
, Tianyi Qin
, Bo Peng
, Wanqing Li
, Zhaoqing Pan
, Haifeng Shen
, Sam Kwong
:
Reducing Background Induced Domain Shift for Adaptive Person Re-Identification. IEEE Trans. Ind. Informatics 19(6): 7377-7388 (2023) - [c101]Shanaka Ramesh Gunasekara, Wanqing Li, Jie (Jack) Yang
, Philip Ogunbona
:
Joint Temporal Pooling for Improving Skeleton-based Action Recognition. DICTA 2023: 403-410 - [i46]Yueyang Li, Yonghong Hou, Wanqing Li:
Sub-action Prototype Learning for Point-level Weakly-supervised Temporal Action Localization. CoRR abs/2309.09060 (2023) - 2022
- [j65]Jie Yang
, Brian Yecies
, Jun Ma, Wanqing Li:
Sparse fuzzy classification for profiling online users and relevant user-generated content. Expert Syst. Appl. 194: 116497 (2022) - [j64]Chang Tang
, Xinwang Liu
, Xiao Zheng, Wanqing Li
, Jian Xiong
, Lizhe Wang
, Albert Y. Zomaya
, Antonella Longo
:
DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-Scale Deep Features. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 955-968 (2022) - [j63]Xiangyu Li
, Yonghong Hou
, Pichao Wang
, Zhimin Gao
, Mingliang Xu
, Wanqing Li
:
Trear: Transformer-Based RGB-D Egocentric Action Recognition. IEEE Trans. Cogn. Dev. Syst. 14(1): 246-252 (2022) - [j62]Chuankun Li, Shuai Li
, Yanbo Gao
, Xiang Zhang
, Wanqing Li
:
A Two-Stream Neural Network for Pose-Based Hand Gesture Recognition. IEEE Trans. Cogn. Dev. Syst. 14(4): 1594-1603 (2022) - [j61]Dengchao Jin
, Jianjun Lei
, Bo Peng
, Wanqing Li
, Nam Ling
, Qingming Huang
:
Deep Affine Motion Compensation Network for Inter Prediction in VVC. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3923-3933 (2022) - [j60]Shuangyan Miao, Yonghong Hou
, Zhimin Gao
, Mingliang Xu
, Wanqing Li
:
A Central Difference Graph Convolutional Operator for Skeleton-Based Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4893-4899 (2022) - [j59]Jianjun Lei
, Jiahui Song, Bo Peng
, Wanqing Li
, Zhaoqing Pan
, Qingming Huang
:
C2FNet: A Coarse-to-Fine Network for Multi-View 3D Point Cloud Generation. IEEE Trans. Image Process. 31: 6707-6718 (2022) - [j58]Zhaoqing Pan
, Feng Yuan, Jianjun Lei
, Wanqing Li
, Nam Ling
, Sam Kwong
:
MIEGAN: Mobile Image Enhancement via a Multi-Module Cascade Neural Network. IEEE Trans. Multim. 24: 519-533 (2022) - [c100]Zhimin Gao
, Peitao Wang, Pei Lv, Xiaoheng Jiang, Qidong Liu, Pichao Wang, Mingliang Xu, Wanqing Li:
Focal and Global Spatial-Temporal Transformer for Skeleton-Based Action Recognition. ACCV (4) 2022: 155-171 - [c99]Zhiyi Gao, Yonghong Hou, Wanqing Li, Zihui Guo, Bin Yu:
Learning Using Privileged Information for Zero-Shot Action Recognition. ACCV (4) 2022: 347-362 - [c98]Jianjun Lei, Xiangrui Liu
, Bo Peng, Dengchao Jin, Wanqing Li, Jingxiao Gu:
Deep Stereo Image Compression via Bi-directional Coding. CVPR 2022: 19637-19646 - [c97]Haoyuan Zhang
, Yonghong Hou
, Wenjing Zhang
, Wanqing Li
:
Contrastive Positive Mining for Unsupervised 3D Action Representation Learning. ECCV (4) 2022: 36-51 - [i45]Zhiyi Gao, Yonghong Hou, Wanqing Li, Zihui Guo, Bin Yu:
Learning Using Privileged Information for Zero-Shot Action Recognition. CoRR abs/2206.08632 (2022) - [i44]Haoyuan Zhang, Yonghong Hou, Wenjing Zhang, Wanqing Li:
Contrastive Positive Mining for Unsupervised 3D Action Representation Learning. CoRR abs/2208.03497 (2022) - [i43]Zihui Guo, Yonghong Hou, Pichao Wang, Zhimin Gao, Mingliang Xu, Wanqing Li:
FT-HID: A Large Scale RGB-D Dataset for First and Third Person Human Interaction Analysis. CoRR abs/2209.10155 (2022) - [i42]Zhimin Gao, Peitao Wang, Pei Lv, Xiaoheng Jiang, Qidong Liu, Pichao Wang, Mingliang Xu, Wanqing Li:
Focal and Global Spatial-Temporal Transformer for Skeleton-based Action Recognition. CoRR abs/2210.02693 (2022) - 2021
- [j57]Jianjia Zhang, Lei Wang
, Luping Zhou
, Wanqing Li
:
Beyond Covariance: SICE and Kernel Based Visual Feature Representation. Int. J. Comput. Vis. 129(2): 300-320 (2021) - [j56]Xiangyu Li, Yonghong Hou, Pichao Wang, Zhimin Gao, Mingliang Xu, Wanqing Li:
Transformer guided geometry model for flow-based unsupervised visual odometry. Neural Comput. Appl. 33(13): 8031-8042 (2021) - [j55]Lisha Cui
, Xiaoheng Jiang
, Mingliang Xu
, Wanqing Li
, Pei Lv
, Bing Zhou
:
SDDNet: A Fast and Accurate Network for Surface Defect Detection. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [c96]Chuankun Li, Shuai Li, Yanbo Gao, Jinming Guo, Ping Chen
, Wanqing Li:
Dense CNN and IndRNN for the Sussex-Huawei Locomotion-Transportation Recognition Challenge. UbiComp/ISWC Adjunct 2021: 380-384 - [i41]Xiangyu Li, Yonghong Hou, Pichao Wang, Zhimin Gao, Mingliang Xu, Wanqing Li:
Transformer Guided Geometry Model for Flow-Based Unsupervised Visual Odometry. CoRR abs/2101.02143 (2021) - [i40]Xiangyu Li, Yonghong Hou, Pichao Wang, Zhimin Gao, Mingliang Xu, Wanqing Li:
Trear: Transformer-based RGB-D Egocentric Action Recognition. CoRR abs/2101.03904 (2021) - [i39]Chuankun Li, Shuai Li, Yanbo Gao, Xiang Zhang, Wanqing Li:
A Two-stream Neural Network for Pose-based Hand Gesture Recognition. CoRR abs/2101.08926 (2021) - [i38]Umair Iqbal, Johan Barthélemy, Pascal Perez, Wanqing Li:
Prediction of Hydraulic Blockage at Cross Drainage Structures using Regression Analysis. CoRR abs/2103.10930 (2021) - [i37]Umair Iqbal, Johan Barthélemy, Wanqing Li, Pascal Perez:
Automating Visual Blockage Classification of Culverts with Deep Learning. CoRR abs/2105.03232 (2021) - [i36]Umair Iqbal, Johan Barthélemy, Wanqing Li, Pascal Perez:
Regression on Deep Visual Features using Artificial Neural Networks (ANNs) to Predict Hydraulic Blockage at Culverts. CoRR abs/2105.03233 (2021) - [i35]Xun Yao, Junlong Ma, Xinrong Hu, Junping Liu, Jie Yang, Wanqing Li:
Context-guided Triple Matching for Multiple Choice Question Answering. CoRR abs/2109.12996 (2021) - [i34]Bingzheng Liu, Jianjun Lei, Bo Peng, Chuanbo Yu, Wanqing Li, Nam Ling:
Novel View Synthesis from a Single Image via Unsupervised learning. CoRR abs/2110.15569 (2021) - [i33]Shuangyan Miao, Yonghong Hou, Zhimin Gao, Mingliang Xu, Wanqing Li:
A Central Difference Graph Convolutional Operator for Skeleton-Based Action Recognition. CoRR abs/2111.06995 (2021) - [i32]Jie Zhu, Bo Peng, Wanqing Li, Haifeng Shen, Zhe Zhang, Jianjun Lei:
Multi-View Stereo with Transformer. CoRR abs/2112.00336 (2021) - 2020
- [j54]Haoyuan Zhang, Yonghong Hou, Pichao Wang, Zihui Guo, Wanqing Li
:
SAR-NAS: Skeleton-based action recognition via neural architecture searching. J. Vis. Commun. Image Represent. 73: 102942 (2020) - [j53]Yanfang Chen, Liwei Wang, Chuankun Li
, Yonghong Hou, Wanqing Li
:
ConvNets-based action recognition from skeleton motion maps. Multim. Tools Appl. 79(3-4): 1707-1725 (2020) - [j52]Zhimin Gao, Pichao Wang
, Huogen Wang
, Mingliang Xu, Wanqing Li
:
A Review of Dynamic Maps for 3D Human Motion Recognition Using ConvNets and Its Improvement. Neural Process. Lett. 52(2): 1501-1515 (2020) - [j51]Huogen Wang
, Zhanjie Song, Wanqing Li
, Pichao Wang:
A Hybrid Network for Large-Scale Action Recognition from RGB and Depth Modalities. Sensors 20(11): 3305 (2020) - [j50]Beidi Zhao, Shuai Li
, Yanbo Gao, Chuankun Li, Wanqing Li:
A Framework of Combining Short-Term Spatial/Frequency Feature Extraction and Long-Term IndRNN for Activity Recognition. Sensors 20(23): 6984 (2020) - [j49]Lijuan Zhou
, Wanqing Li
, Philip Ogunbona
, Zhengyou Zhang:
Jointly Learning Visual Poses and Pose Lexicon for Semantic Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 30(2): 457-467 (2020) - [c95]Shengyuan Liu, Pei Lv, Yuzhen Zhang, Jie Fu, Junjin Cheng, Wanqing Li, Bing Zhou, Mingliang Xu:
Semi-Dynamic Hypergraph Neural Network for 3D Pose Estimation. IJCAI 2020: 782-788 - [c94]Zhenyu Yang
, Jie Yang
, Brian Yecies
, Wanqing Li:
Multi-view learning for context-aware extractive summarization. SSCI 2020: 1762-1769 - [i31]Jing Zhang, Wanqing Li, Lu Sheng, Chang Tang, Philip Ogunbona:
Unsupervised Domain Expansion from Multiple Sources. CoRR abs/2005.12544 (2020) - [i30]Haoyuan Zhang, Yonghong Hou, Pichao Wang, Zihui Guo, Wanqing Li:
SAR-NAS: Skeleton-based Action Recognition via Neural Architecture Searching. CoRR abs/2010.15336 (2020) - [i29]Beidi Zhao, Shuai Li, Yanbo Gao, Chuankun Li, Wanqing Li:
A Framework of Combining Short-Term Spatial/Frequency Feature Extraction and Long-Term IndRNN for Activity Recognition. CoRR abs/2011.00395 (2020)
2010 – 2019
- 2019
- [j48]Jing Zhang
, Wanqing Li
, Philip Ogunbona
, Dong Xu:
Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition: A Problem-Oriented Perspective. ACM Comput. Surv. 52(1): 7:1-7:38 (2019) - [j47]Shuai Li, Wanqing Li
, Chris Cook, Ce Zhu, Yanbo Gao:
A fully trainable network with RNN-based pooling. Neurocomputing 338: 72-82 (2019) - [j46]Chuankun Li, Yonghong Hou, Wanqing Li
, Pichao Wang
:
Learning attentive dynamic maps (ADMs) for Understanding Human Actions. J. Vis. Commun. Image Represent. 65 (2019) - [j45]Jing Zhang
, Wanqing Li
, Philip Ogunbona
:
Unsupervised domain adaptation: A multi-task learning-based method. Knowl. Based Syst. 186 (2019) - [j44]Zewei Ding
, Wanqing Li
, Philip Ogunbona
, Ling Qin:
A real-time webcam-based method for assessing upper-body postures. Mach. Vis. Appl. 30(5): 833-850 (2019) - [j43]Chuankun Li
, Yonghong Hou
, Pichao Wang
, Wanqing Li
:
Multiview-Based 3-D Action Recognition Using Deep Networks. IEEE Trans. Hum. Mach. Syst. 49(1): 95-104 (2019) - [c93]Xianzhe Xu, Yonghong Hou, Pichao Wang, Zhongyu Jiang, Wanqing Li
:
Light Weight Stereo Matching via Deep Extraction and Integration of Low and High Level Information. ICME 2019: 320-325 - [c92]Renyi Xiao, Yonghong Hou, Zihui Guo, Chuankun Li, Pichao Wang, Wanqing Li
:
Self-Attention Guided Deep Features for Action Recognition. ICME 2019: 1060-1065 - [c91]Xiangyu Li, Yonghong Hou, Qi Wu, Pichao Wang, Wanqing Li
:
DVONet: Unsupervised Monocular Depth Estimation and Visual Odometry. VCIP 2019: 1-4 - [i28]Shuai Li, Wanqing Li, Chris Cook, Yanbo Gao, Ce Zhu:
Deep Independently Recurrent Neural Network (IndRNN). CoRR abs/1910.06251 (2019) - 2018
- [j42]Yonghong Hou, Shuang Wang, Pichao Wang
, Zhimin Gao, Wanqing Li
:
Spatially and Temporally Structured Global to Local Aggregation of Dynamic Depth Information for Action Recognition. IEEE Access 6: 2206-2219 (2018) - [j41]Pichao Wang
, Wanqing Li
, Philip Ogunbona
, Jun Wan, Sergio Escalera:
RGB-D-based human motion recognition with deep learning: A survey. Comput. Vis. Image Underst. 171: 118-139 (2018) - [j40]Chang Tang
, Wanqing Li
, Pichao Wang
, Lizhe Wang
:
Online human action recognition based on incremental learning of weighted covariance descriptors. Inf. Sci. 467: 219-237 (2018) - [j39]Chang Tang
, Xinwang Liu, Miaomiao Li
, Pichao Wang
, Jiajia Chen, Lizhe Wang, Wanqing Li
:
Robust unsupervised feature selection via dual self-representation and manifold regularization. Knowl. Based Syst. 145: 109-120 (2018) - [j38]Pichao Wang
, Wanqing Li
, Chuankun Li, Yonghong Hou:
Action recognition based on joint trajectory maps with convolutional neural networks. Knowl. Based Syst. 158: 43-53 (2018) - [j37]Jianhua Luo, Zhiying Mou, Binjie Qin
, Wanqing Li
, Philip Ogunbona
, Marc C. Robini, Yuemin Zhu
:
A singular K-space model for fast reconstruction of magnetic resonance images from undersampled data. Medical Biol. Eng. Comput. 56(7): 1211-1225 (2018) - [j36]Yonghong Hou, Zhaoyang Li, Pichao Wang
, Wanqing Li
:
Skeleton Optical Spectra-Based Action Recognition Using Convolutional Neural Networks. IEEE Trans. Circuits Syst. Video Technol. 28(3): 807-811 (2018) - [j35]Hongda Tian
, Wanqing Li
, Philip O. Ogunbona
, Lei Wang
:
Detection and Separation of Smoke From Single Image Frames. IEEE Trans. Image Process. 27(3): 1164-1177 (2018) - [j34]Shuai Li
, Dinei A. F. Florêncio, Wanqing Li
, Yaqin Zhao, Chris Cook:
A Fusion Framework for Camouflaged Moving Foreground Detection in the Wavelet Domain. IEEE Trans. Image Process. 27(8): 3918-3930 (2018) - [j33]Pichao Wang
, Wanqing Li
, Zhimin Gao
, Chang Tang
, Philip O. Ogunbona
:
Depth Pooling Based Large-Scale 3-D Action Recognition With Convolutional Neural Networks. IEEE Trans. Multim. 20(5): 1051-1061 (2018) - [c90]Pichao Wang, Wanqing Li, Jun Wan, Philip Ogunbona
, Xinwang Liu:
Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition. AAAI 2018: 7404-7411 - [c89]Shuai Li, Wanqing Li
, Chris Cook, Ce Zhu, Yanbo Gao:
Independently Recurrent Neural Network (IndRNN): Building a Longer and Deeper RNN. CVPR 2018: 5457-5466 - [c88]Jing Zhang
, Zewei Ding, Wanqing Li
, Philip Ogunbona
:
Importance Weighted Adversarial Nets for Partial Domain Adaptation. CVPR 2018: 8156-8164 - [c87]Shuai Li, Chuankun Li, Wanqing Li
, Yonghong Hou, Chris Cook:
Smartphone-sensors Based Activity Recognition Using IndRNN. UbiComp/ISWC Adjunct 2018: 1541-1547 - [i27]Pichao Wang, Wanqing Li, Jun Wan, Philip Ogunbona
, Xinwang Liu:
Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition. CoRR abs/1801.01080 (2018) - [i26]Shuai Li, Wanqing Li, Chris Cook, Ce Zhu, Yanbo Gao:
Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN. CoRR abs/1803.04831 (2018) - [i25]Jing Zhang, Wanqing Li, Philip Ogunbona:
Unsupervised Domain Adaptation: A Multi-task Learning-based Method. CoRR abs/1803.09208 (2018) - [i24]Jing Zhang, Zewei Ding, Wanqing Li, Philip Ogunbona:
Importance Weighted Adversarial Nets for Partial Domain Adaptation. CoRR abs/1803.09210 (2018) - [i23]Pichao Wang, Wanqing Li, Zhimin Gao, Chang Tang, Philip Ogunbona
:
Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks. CoRR abs/1804.01194 (2018) - [i22]Shuai Li, Dinei A. F. Florêncio, Wanqing Li, Yaqin Zhao, Chris Cook:
A Fusion Framework for Camouflaged Moving Foreground Detection in the Wavelet Domain. CoRR abs/1804.05984 (2018) - 2017
- [j32]Chang Tang
, Chunping Hou, Yonghong Hou, Pichao Wang
, Wanqing Li
:
An effective edge-preserving smoothing method for image manipulation. Digit. Signal Process. 63: 10-24 (2017) - [j31]Lijuan Zhou, Wanqing Li
, Philip Ogunbona
, Zhengyou Zhang:
Semantic action recognition by learning a pose lexicon. Pattern Recognit. 72: 548-562 (2017) - [j30]Chang Tang
, Pichao Wang, Changqing Zhang, Wanqing Li
:
Salient Object Detection via Weighted Low Rank Matrix Recovery. IEEE Signal Process. Lett. 24(4): 490-494 (2017) - [j29]Chuankun Li, Yonghong Hou, Pichao Wang
, Wanqing Li
:
Joint Distance Maps Based Action Recognition With Convolutional Neural Networks. IEEE Signal Process. Lett. 24(5): 624-628 (2017) - [j28]Shichao Fu
, Farzad Safaei
, Wanqing Li
:
Optimization of Camera Arrangement Using Correspondence Field to Improve Depth Estimation. IEEE Trans. Image Process. 26(6): 3038-3050 (2017) - [c86]Pichao Wang, Wanqing Li
, Zhimin Gao, Yuyao Zhang, Chang Tang, Philip Ogunbona
:
Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition with Convolutional Neural Networks. CVPR 2017: 416-425 - [c85]Jing Zhang
, Wanqing Li
, Philip Ogunbona
:
Joint Geometrical and Statistical Alignment for Visual Domain Adaptation. CVPR 2017: 5150-5158 - [c84]Pichao Wang, Shuang Wang, Zhimin Gao, Yonghong Hou, Wanqing Li
:
Structured Images for RGB-D Action Recognition. ICCV Workshops 2017: 1005-1014 - [c83]Huogen Wang
, Pichao Wang, Zhanjie Song, Wanqing Li
:
Large-Scale Multimodal Gesture Recognition Using Heterogeneous Networks. ICCV Workshops 2017: 3129-3137 - [c82]Huogen Wang
, Pichao Wang, Zhanjie Song, Wanqing Li
:
Large-Scale Multimodal Gesture Segmentation and Recognition Based on Convolutional Neural Networks. ICCV Workshops 2017: 3138-3146 - [c81]Shuai Li, Dinei A. F. Florêncio, Yaqin Zhao, Chris Cook, Wanqing Li
:
Foreground detection in camouflaged scenes. ICIP 2017: 4247-4251 - [c80]Chuankun Li, Pichao Wang, Shuang Wang, Yonghong Hou, Wanqing Li
:
Skeleton-based action recognition using LSTM and CNN. ICME Workshops 2017: 585-590 - [c79]Zewei Ding, Pichao Wang, Philip O. Ogunbona
, Wanqing Li
:
Investigation of different skeleton features for CNN-based 3D action recognition. ICME Workshops 2017: 617-622 - [c78]Zewei Ding, Wanqing Li
, Pichao Wang, Philip Ogunbona
, Ling Qin:
Weakly structured information aggregation for upper-body posture assessment using ConvNets. ICME 2017: 1512-1517 - [i21]Pichao Wang, Wanqing Li, Song Liu, Zhimin Gao, Chang Tang, Philip Ogunbona
:
Large-scale Isolated Gesture Recognition Using Convolutional Neural Networks. CoRR abs/1701.01814 (2017) - [i20]Pichao Wang, Wanqing Li, Zhimin Gao, Yuyao Zhang, Chang Tang, Philip Ogunbona
:
Scene Flow to Action Map: A New Representation for RGB-D based Action Recognition with Convolutional Neural Networks. CoRR abs/1702.08652 (2017) - [i19]Zewei Ding, Pichao Wang, Philip O. Ogunbona
, Wanqing Li:
Investigation of Different Skeleton Features for CNN-based 3D Action Recognition. CoRR abs/1705.00835 (2017) - [i18]Jing Zhang, Wanqing Li, Philip Ogunbona:
Cross-Dataset Recognition: A Survey. CoRR abs/1705.04396 (2017) - [i17]Jing Zhang, Wanqing Li, Philip Ogunbona:
Joint Geometrical and Statistical Alignment for Visual Domain Adaptation. CoRR abs/1705.05498 (2017) - [i16]Shuai Li, Wanqing Li, Chris Cook, Ce Zhu, Yanbo Gao:
A Fully Trainable Network with RNN-based Pooling. CoRR abs/1706.05157 (2017) - [i15]Chuankun Li, Pichao Wang, Shuang Wang, Yonghong Hou, Wanqing Li:
Skeleton-based Action Recognition Using LSTM and CNN. CoRR abs/1707.02356 (2017) - [i14]Shuai Li, Dinei Florêncio, Yaqin Zhao, Chris Cook, Wanqing Li:
Foreground Detection in Camouflaged Scenes. CoRR abs/1707.03166 (2017) - [i13]