Founder of
IIAI/MBZUAI
Dr.
Ling Shao was the founder
of both the Inception Institute of
Artificial Intelligence (IIAI) and the Mohamed bin Zayed University of Artificial
Intelligence (MBZUAI) – the world’s
first AI university. He also served as the
CEO and Chief Scientist of IIAI (2018-2021) and as the Provost and Executive
Vice-President of MBZUAI (2019-2021). IIAI and MBZUAI have
been pivotal in advancing AI research in the UAE since 2018. In recognition of his scientific
contributions, he was awarded the Mohammed bin Rashid Medal for Scientific
Distinguishment, the highest scientific honor in the
UAE, by His Highness Sheikh Mohammed bin Rashid Al Maktoum,
the Prime-Minister and Vice-President of the UAE, and
the Ruler of Dubai.
Dr. Shao received his B.Eng. in Electronic and Information Engineering from the University of Science and Technology of China (USTC), his M.Sc. in Medical Image Analysis and his Ph.D. (D.Phil.) in Computer Vision from the University of Oxford. He previously held positions of Chair Professor in Computer Vision and Machine Learning at the University of East Anglia (2016-2018), Chair Professor in Computer Vision and Machine Intelligence at Northumbria University (2014-2016), Senior Lecturer at the University of Sheffield (2009-2014), and Senior Scientist at Philips Research in the Netherlands (2005-2009). His research interests include Computer Vision, Generative AI, Multimodal AI, Vision and Language, and AI for Healthcare. He has authored/co-authored over 500 papers in top conferences/journals, including CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, TPAMI and IJCV, and holds over 30 US/EU patents.
Dr. Shao has served on the editorial boards of IEEE Transactions on Image Processing, IEEE Transactions on Neural
Networks and Learning Systems, IEEE Transactions on Circuits and Systems for
Video Technology, IEEE Transactions on Cybernetics, and several other
journals. He has edited four books and several special issues for journals such as
IJCV and Pattern Recognition. He was the General Chair for BMVC 2018, and has been an Area Chair or Program Committee member for numerous top conferences, including ICCV, CVPR, ECCV and ACM MM. He was selected as
a 'Highly Cited Researcher' by the Web of Science (Clarivate) for 6 consecutive
years in 2018-2023. He is a Fellow of the IEEE, the IAPR, the British Computer Society, and the IET, and a Life Member of the
ACM. He was elected as a Member of the Mohammed bin Rashid Academy of
Scientists (the National Academy of the UAE) in 2021.
Awarded the
Mohammed bin Rashid Medal for Scientific Distinguishment (the highest
scientific recognition in the UAE).
Elected as a member
of the Mohammed bin Rashid Academy of Scientists (the National Academy of the
UAE).
Elected as a Fellow
of the IEEE.
CEO and
Chief Scientist,
Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE, Jan.
2018-Dec. 2021
Provost and
Executive Vice President, Mohamed bin Zayed University of Artificial Intelligence, UAE, 2019-2021
Chair
Professor,
University of East Anglia, UK, 2016-2018
Chair
Professor,
Northumbria University, UK, 2014-2016
Senior
Lecturer, University
of Sheffield, UK, 2009-2014
Senior
Scientist, Philips
Research, the Netherlands, 2005-2009
Senior
Engineer, Queen's
University of Belfast, UK, 2005-2005
Ph.D., University
of Oxford
M.Sc. (by
research), University of Oxford
B.Eng., University
of Science and Technology of China
Selected
Journal Articles
D. Fan, G. Ji, M. Chen and L. Shao,
Concealed Object Detection, IEEE Transactions on Pattern Analysis and Machine
Intelligence, doi://10.1109/TPAMI.2021.3085766, in press, 2021.
H. Xiong, M. Yu, L. Liu, F. Zhu, J. Qin,
F. Shen and L. Shao, A Generalized Method for Binary Optimization:
Convergence Analysis and Applications, IEEE Transactions on Pattern Analysis
and Machine Intelligence, doi://10.1109/TPAMI.2021.3070753, in press, 2021.
J. Cao, J. Xie, Y. Pang, F. Khan and L.
Shao, From Handcrafted to Deep Features for Pedestrian Detection: A Survey,
IEEE Transactions on Pattern Analysis and Machine Intelligence,
doi://10.1109/TPAMI.2021.3076733, in press, 2021.
Y. Yan, J. Qin, B. Ni, J. Chen, L. Liu, F.
Zhu, W-S. Zheng, X. Yang and L. Shao, Learning Multi-Attention Context
Graph for Group-Based Re-Identification, IEEE Transactions on Pattern Analysis
and Machine Intelligence, doi://10.1109/TPAMI.2020.3032542, in press, 2020.
M. Ye, J. Shen, G. Lin, T. Xiang, L.
Shao and S. Hoi, Deep Learning for Person Re-identification: A Survey and
Outlook, IEEE Transactions on Pattern Analysis and Machine Intelligence, doi: 10.1109/TPAMI.2021.3054775, in press, 2021.
H. Cholakkal, G.
Sun, S. Khan, F. S. Khan, L. Shao and L. V. Gool, Towards Partial
Supervision for Generic Object Counting in Natural Scenes, IEEE Transactions on
Pattern Analysis and Machine Intelligence, doi://10.1109/TPAMI.2020.3021025, in
press, 2020.
A. Mustafa, S. H. Khan, M. Hayat, R.
Goecke, J. Shen and L. Shao, Deeply Supervised Discriminative Learning
for Adversarial Defense, IEEE Transactions on Pattern Analysis and Machine
Intelligence, doi://10.1109/TPAMI.2020.2978474, in press, 2020.
X. Dong, J. Shen, W. Wang, L. Shao,
H. Ling and F. Porikli, Dynamical Hyperparameter
Optimization via Deep Reinforcement Learning in Tracking, IEEE Transactions on
Pattern Analysis and Machine Intelligence, vol. 43, no. 5, pp. 1515-1529, 2021.
L. Shao, H. P. H. Shum, and T. M. Hospedales, Editorial:
Special Issue on Machine Vision with Deep Learning, International Journal of
Computer Vision, vol. 128, no. 4, pp. 771-772, 2020.
J. Zhao, J. Han, L. Shao, and
C. G. M. Snoek, Pixelated Semantic Colorization, International Journal of
Computer Vision, vol. 128, no. 4, pp. 818-834, 2020.
Y. Shen, L. Liu, and L. Shao,
Unsupervised Binary Representation Learning with Deep Variational Networks,
International Journal of Computer Vision, vol. 127, no. 11-12, pp. 1614-1628,
2019.
Z. Zhang, L. Liu, F. Shen, H. T.
Shen, and L. Shao, Binary Multi-View Clustering, IEEE Transactions on
Pattern Analysis and Machine Intelligence, vol. 41, no. 7, pp. 1774-1782, 2019.
F. Zheng, Y. Tang, and L. Shao,
Hetero-Manifold Regularisation for Cross-Modal
Hashing, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.
40, no. 5, pp. 1059-1071, 2018.
Y. Long, L. Liu, F. Shen, L. Shao,
and X. Li, Zero-Shot Learning Using Synthesised
Unseen Visual Data with Diffusion Regularisation,
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no.
10, pp. 2498-2512, 2018.
L. Liu, M. Yu, and L. Shao,
Latent Structure Preserving Hashing, International Journal of Computer Vision,
vol. 122, no. 3, pp. 439-457, 2017.
L. Shao, L. Liu, and M. Yu, Kernelized Multiview
Projection for Robust Action Recognition, International Journal of Computer
Vision, vol. 118, no. 2, pp. 115-129, 2016.
D. Wu, L. Pigou, P.-J. Kindermans, N. D.-H. Le, L. Shao, J. Dambre, and
J.-M. Odobez, Deep Dynamic Neural Networks for
Multimodal Gesture Segmentation and Recognition, IEEE Transactions on Pattern
Analysis and Machine Intelligence, vol. 38, no. 8, pp. 1583-1597, 2016.
M. Yu, L. Liu, and L. Shao,
Structure-Preserving Binary Representations for RGB-D Action Recognition, IEEE
Transactions on Pattern Analysis and Machine Intelligence, vol. 38, no. 8, pp.
1651-1664, 2016.
M. Yu, L. Shao, X. Zhen, and
X. He, Local Feature Discriminant Projection, IEEE Transactions on Pattern
Analysis and Machine Intelligence, vol. 38, no. 9, pp. 1908-1914, 2016.
F. Zhu and L. Shao,
Weakly-Supervised Cross-Domain Dictionary Learning for Visual Recognition,
International Journal of Computer Vision, vol. 109, no. 1-2, pp. 42-59, 2014.
Selected
Conference Papers
Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao and Cees Snoek, Kernel
Continual Learning. Accepted by International Conference on Machine Learning
(ICML), July 2021.
Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao and Cees Snoek, A Bit More
Bayesian: Domain-Invariant Learning with Uncertainty. Accepted by
International Conference on Machine Learning (ICML), July 2021.
Guo-Sen Xie, Jie Liu, Huan Xiong, Ling
Shao, Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation.
in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Tianfei Zhou, Jianwu
Li, Xueyi Li, Ling Shao, Target-Aware Object
Discovery and Association for Unsupervised Video Multi-Object Segmentation. in
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Yunhua Zhang, Ling Shao, Cees G. M.
Snoek, Repetitive Activity Counting by Sight and Sound. in IEEE/CVF Conference
on Computer Vision and Pattern Recognition (CVPR), 2021.
Shujie Luo, Hang Dai, Ling Shao, Yong
Ding, M3DSSD: Monocular 3D Single Stage Object Detector. in IEEE/CVF Conference
on Computer Vision and Pattern Recognition (CVPR), 2021.
Qi Fan, Deng-Ping Fan, Huazhu
Fu, Chi-Keung Tang, Ling Shao, Yu-Wing Tai, Group Collaborative Learning
for Co-Salient Object Detection. in IEEE/CVF Conference on Computer Vision and
Pattern Recognition (CVPR), 2021.
Irtiza Hasan, Shengcai
Liao, Jinpeng Li, Saad Ullah Akram, Ling Shao,
Generalizable Pedestrian Detection: The Elephant in the Room. in IEEE/CVF
Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Lei Huang, Yi Zhou, Li Liu, Fan Zhu, Ling
Shao, Group Whitening: Balancing Learning Efficiency and Representational
Capacity. in IEEE/CVF Conference on Computer Vision and Pattern Recognition
(CVPR), 2021.
Syed Waqas Zamir, Aditya Aroma, Salman
Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao,
Multi-Stage Progressive Image Restoration. in IEEE/CVF Conference on Computer
Vision and Pattern Recognition (CVPR), 2021.
Mingchen Zhuge, Dehong
Gao, Deng-Ping Fan, Linbo Jin, Ben Chen, Haoming
Zhou, Minghui Qiu, Ling Shao, Kaleido-BERT: Vision-Language Pre-Training on Fashion
Domain. in IEEE/CVF Conference on Computer Vision and Pattern Recognition
(CVPR), 2021.
Wencheng Han, Xingping
Dong, Fahad Shahbaz Khan, Ling Shao, Jianbing Shen, Learning To Fuse
Asymmetric Feature Maps in Siamese Trackers. in IEEE/CVF Conference on Computer
Vision and Pattern Recognition (CVPR), 2021.
Yawen Huang, Feng Zheng, Danyang Wang,
Weilin Huang, Matthew R. Scott, Ling Shao, Brain Image Synthesis With
Unsupervised Multivariate Canonical CSCl4Net. in IEEE/CVF Conference on
Computer Vision and Pattern Recognition (CVPR), 2021.
Yichao Yan, Jinpeng
Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan
Zhu, Ling Shao, Anchor-Free Person Search. in IEEE/CVF Conference on
Computer Vision and Pattern Recognition (CVPR), 2021.
Ying-Jun Du, Xiantong
Zhen, Ling Shao, Cees Snoek, MetaNorm:
Learning to Normalize Few-Shot Batches Across Domains. in International
Conference on Learning Representations (ICLR), May 2021.
Xiantong Zhen, Ying-Jun Du, Huan
Xiong, Qiang Qiu, Cees Snoek, Ling Shao, Learning to
Learn Variational Semantic Memory. In Neural Information Processing
Systems (NeurIPS), Dec. 6-12, 2020.
Fang Zhao, Shengcai
Liao, Kaihao Zhang, and Ling Shao, Human
Parsing Based Texture Transfer from Single Image to 3D Human via Cross-View
Consistency. In Neural Information Processing Systems (NeurIPS),
Dec. 6-12, 2020.
Huan Xiong, Lei Huang, Mengyang
Yu, Li Liu, Fan Zhu, Ling Shao. On the Number of Linear Regions of
Convolutional Neural Networks. In The Thirty-seventh International Conference
on Machine Learning (ICML), 2020.
Xiantong Zhen, Haoliang
Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees
Snoek,
Learning to Learn Kernels with Variational Random Features. In The
Thirty-seventh International Conference on Machine Learning (ICML), 2020.
Tao Zhou, Huazhu
Fu, Chen Gong, Jianbing Shen, Ling Shao, Fatih Porikli.
Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion
Segmentation. In IEEE/CVF Conference on Computer Vision and Pattern Recognition
(CVPR), 2020.
Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, Ling Shao.
Camouflaged Object Detection. In IEEE/CVF Conference on Computer Vision and
Pattern Recognition (CVPR), 2020.
Y. Li, Y. Pang, J. Shen, J. Cao and L.
Shao. NETNet: Neighbor Erasing and Transferring
Network for Better Single Shot Object Detection. In IEEE/CVF Conference on
Computer Vision and Pattern Recognition (CVPR), 2020.
Wenguan Wang, Hailong
Zhu, Jifeng Dai, Yanwei
Pang, Jianbing Shen, Ling Shao. Hierarchical Human Parsing With Typed
Part-Relation Reasoning. In IEEE/CVF Conference on Computer Vision and Pattern
Recognition (CVPR), 2020.
Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling
Shao. Controllable Orthogonalization in Training DNNs. In IEEE/CVF
Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li
Liu, Ling Shao. An Investigation into the Stochasticity of Batch
Whitening. In IEEE/CVF Conference on Computer Vision and Pattern Recognition
(CVPR), 2020.
Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin
Shen, Ling Shao. Auto-Encoding Twin-Bottleneck Hashing. In IEEE/CVF
Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Yichao Yan, Jie Qin, Jiaxin Chen, Li Liu, Fan
Zhu, Ying Tai, Ling Shao. Learning Multi-Granular Hypergraphs for
Video-Based Person Re-Identification. In IEEE/CVF Conference on Computer Vision
and Pattern Recognition (CVPR), 2020.
Lei Zhang, Jiangtao
Nie, Wei Wei, Yanning
Zhang, Shengcai Liao, and Ling Shao.
Unsupervised Adaptation Learning for Hyperspectral Imagery Super-resolution. In
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Syed Waqas Zamir, Aditya Arora, Salman
Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang and Ling Shao. CycleISP: Real Image Restoration via Improved Data
Synthesis. In IEEE/CVF Conference on Computer Vision and Pattern Recognition
(CVPR), 2020.
Jiale Cao, Hisham Cholakkal,
Rao Muhammad Anwer, Fahad Shahbaz Khan, Yanwei Pang and Ling Shao. D2Det: Towards High
Quality Object Detection and Instance Segmentation. In IEEE/CVF Conference on
Computer Vision and Pattern Recognition (CVPR), 2020.
Muhammad Haris Khan, John McDonagh, Salman
Khan, Muhammad Shahabuddin, Aditya Arora, Fahad Shahbaz Khan, Ling Shao
and Georgios Tzimiropoulos. AnimalWeb:
A Large-Scale Hierarchical Dataset of Annotated Animal Faces. In IEEE/CVF
Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Xingping Dong, Jianbing Shen, Ling Shao,
Fatih Porikli. CLNet: A
Compact Latent Network for Fast Adjusting Siamese Trackers. In The 16th
European Conference on Computer Vision (ECCV), 23-28 August, 2020.
Mang Ye, Jianbing Shen, David J. Crandall,
Ling Shao, Jiebo Luo. Dynamic Dual-Attentive
Aggregation Learning for VisibleInfrared
Re-identification. In The 16th European Conference on Computer Vision (ECCV),
23-28 August, 2020.
Deng-Ping Fan, Yingjie Zhai, Ali Borji, Jufeng Yang, Ling Shao.
BBS-Net: Rgb-d salient object detection with a
bifurcated backbone strategy network. In The 16th European Conference on
Computer Vision (ECCV), 23-28 August, 2020.
Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling
Shao. Layer-wise Conditioning Analysis in Exploring the Learning Dynamics
of DNNs. In The 16th European Conference on Computer Vision (ECCV), 23-28
August, 2020.
Guo-Sen Xie, Li Liu, Fan Zhu, Fang Zhao,
Zheng Zhang, Yazhou Yao, Jie Qin, Ling Shao.
Region Graph Embedding Network for Zero-Shot Learning. In The 16th European
Conference on Computer Vision (ECCV), 23-28 August, 2020.
Yuming Shen, Jie Qin, Lei Huang, Li Liu,
Fan Zhu, Ling Shao. Invertible Zero-Shot Recognition Flows. In The 16th
European Conference on Computer Vision (ECCV), 23-28 August, 2020.
Jiaxin Chen, Jie Qin, Yuming Shen, Li Liu,
Fan Zhu, Ling Shao. Learning Attentive and Hierarchical Representations
for 3D Shape Recognition. In The 16th European Conference on Computer Vision
(ECCV), 23-28 August, 2020.
Shengcai Liao, and Ling Shao. Interpretable
and Generalizable Person Re-identiffication with
Query-adaptive Convolution and Temporal Lifting. In The 16th European
Conference on Computer Vision (ECCV), 23-28 August, 2020.
Fang Zhao, Shengcai
Liao, Guosen Xie, Jian Zhao, Kaihao
Zhang, and Ling Shao. Unsupervised Domain Adaptation with Noise
Resistible Mutual-Training for Person Re-identiffication.
In The 16th European Conference on Computer Vision (ECCV), 23-28 August, 2020.
Jiale Cao, Rao Muhammad Anwer, Hisham Cholakkal, Fahad
Shahbaz Khan, Yanwei Pang and Ling Shao. SipMask: Spatial Information Preservation for Fast Image
and Video Instance Segmentation. In The 16th European Conference on Computer
Vision (ECCV), 23-28 August, 2020.
Sanath Narayan, Akshita Gupta, Fahad
Shahbaz Khan, Cees Snoek, and Ling Shao. Latent Embedding Feedback and
Discriminative Features for Zero-Shot Classification. In The 16th European
Conference on Computer Vision (ECCV), 23-28 August, 2020.
Jin Xie, Hisham Cholakkal,
Rao Muhammad Anwer, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao and Mubarak Shah. Count- and
Similarity-aware R-CNN for Pedestrian Detection. In The 16th European
Conference on Computer Vision (ECCV), 23-28 August, 2020.
Syed Waqas Zamir, Aditya Arora, Salman
Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang and Ling Shao.
Learning Enriched Features for Real Image Restoration and Enhancement. In The
16th European Conference on Computer Vision (ECCV), 23-28 August, 2020.
J. Rajasegaran, M. Hayat, S. H. Khan, F.
S. Khan, and L. Shao, Random Path Selection for Continual Learning, in
Advances in Neural Information Processing Systems (NIPS), pp. 12648-12658,
2019.
Lizhong Ding, Mengyang
Yu, Li Liu, Fan Zhu, Yong Liu, Yu Li, Ling Shao,
Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test. in
Advances in Neural Information Processing Systems (NIPS), pp. 12648-12658,
2019.
J. Li, S. Shang, and L. Shao, MetaNER: Named Entity Recognition with Meta-Learning, in
The Web Conference (WWW), pp. 429-440, 2020.
J. Chen, J. Qin, L. Liu, F. Zhu, F.
Shen, J. Xie, and L. Shao, Deep Sketch-Shape Hashing With Segmented 3D
Stochastic Viewing, in IEEE Conference on Computer Vision and Pattern
Recognition (CVPR), pp. 791-800, 2019.
L. Chen, S. Shang, C. S. Jensen, B.
Yao, Z. Zhang, and L. Shao, Effective and Efficient Reuse of Past Travel
Behavior for Route Recommendation, in ACM SIGKDD International Conference on
Knowledge Discovery & Data Mining (KDD), pp. 488-498, 2019.
H. Cholakkal,
G. Sun, F. S. Khan, and L. Shao, Object Counting and Instance
Segmentation With Image-Level Supervision, in IEEE Conference on Computer
Vision and Pattern Recognition (CVPR), pp. 12397-12405, 2019.
H. Dai and L. Shao, PointAE: Point Auto-Encoder for 3D Statistical Shape and
Texture Modelling, in IEEE/CVF International Conference on Computer Vision
(ICCV), pp. 5409-5418, 2019.
D. Deng, C. Yang, S. Shang, F. Zhu,
L. Liu, and L. Shao, LCJoin: Set Containment
Join via List Crosscutting, in IEEE International Conference on Data
Engineering (ICDE), pp. 362-373, 2019.
L. Ding, M. Yu, L. Liu, F. Zhu, Y.
Liu, Y. Li, and L. Shao, Two Generator Game: Learning to Sample via
Linear Goodness-of-Fit Test, in Advances in Neural Information Processing
Systems (NIPS), pp. 11257-11268, 2019.
M. Hayat, S. H. Khan, S. W. Zamir,
J. Shen, and L. Shao, Gaussian Affinity for Max-Margin Class Imbalanced
Learning, in IEEE/CVF International Conference on Computer Vision (ICCV), pp.
6468-6478, 2019.
L. Huang, Y. Zhou, F. Zhu, L. Liu,
and L. Shao, Iterative Normalization: Beyond Standardization Towards
Efficient Whitening, in IEEE Conference on Computer Vision and Pattern
Recognition (CVPR), pp. 4874-4883, 2019.
R. T. Ionescu, F. S. Khan, M.-I.
Georgescu, and L. Shao, Object-Centric Auto-Encoders and Dummy Anomalies
for Abnormal Event Detection in Video, in IEEE Conference on Computer Vision
and Pattern Recognition (CVPR), pp. 7842-7851, 2019.
X. Jiang, Z. Xiao, B. Zhang, X.
Zhen, X. Cao, D. S. Doermann, and L. Shao, Crowd Counting and Density
Estimation by Trellis Encoder-Decoder Networks, in IEEE Conference on Computer
Vision and Pattern Recognition (CVPR), pp. 6133-6142, 2019.
S. H. Khan, M. Hayat, S. W. Zamir,
J. Shen, and L. Shao, Striking the Right Balance With Uncertainty, in
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 103-112,
2019.
X. Lu, W. Wang, C. Ma, J. Shen, L.
Shao, and F. Porikli, See More, Know More:
Unsupervised Video Object Segmentation With Co-Attention Siamese Networks, in
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.
3623-3632, 2019.
D. Mandal, S. Narayan, S. K.
Dwivedi, V. Gupta, S. Ahmed, F. S. Khan, and L. Shao,
Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition, in
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.
9985-9993, 2019.
A. Mustafa, S. H. Khan, M. Hayat, R.
Goecke, J. Shen, and L. Shao, Adversarial Defense by Restricting the
Hidden Space of Deep Neural Networks, in IEEE/CVF International Conference on
Computer Vision (ICCV), pp. 3384-3393, 2019.
S. Narayan, H. Cholakkal,
F. S. Khan, and L. Shao, 3C-Net: Category Count and Center Loss for
Weakly-Supervised Action Localization, in IEEE/CVF International Conference on
Computer Vision (ICCV), pp. 8678-8686, 2019.
J. Nie, R. M. Anwer,
H. Cholakkal, F. S. Khan, Y. Pang, and L. Shao,
Enriched Feature Guided Refinement Network for Object Detection, in IEEE/CVF International
Conference on Computer Vision (ICCV), pp. 9536-9545, 2019.
Y. Pang, Y. Li, J. Shen, and L.
Shao, Towards Bridging Semantic Gap to Improve Semantic Segmentation, in
IEEE/CVF International Conference on Computer Vision (ICCV), pp. 4229-4238,
2019.
Y. Pang, T. Wang, R. M. Anwer, F. S. Khan, and L. Shao, Efficient Featurized Image Pyramid Network for Single Shot Detector,
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.
7336-7344, 2019.
Y. Pang, J. Xie, M. H. Khan, R. M. Anwer, F. S. Khan, and L. Shao, Mask-Guided
Attention Network for Occluded Pedestrian Detection, in IEEE/CVF International
Conference on Computer Vision (ICCV), pp. 4966-4974, 2019.
Z. Shen, W. Wang, X. Lu, J. Shen, H.
Ling, T. Xu, and L. Shao, Human-Aware Motion Deblurring, in IEEE/CVF
International Conference on Computer Vision (ICCV), pp. 5571-5580, 2019.
T. Wang, R. M. Anwer,
H. Cholakkal, F. S. Khan, Y. Pang, and L. Shao,
Learning Rich Features at High-Speed for Single-Shot Object Detection, in
IEEE/CVF International Conference on Computer Vision (ICCV), pp. 1971-1980,
2019.
T. Wang, R. M. Anwer,
M. H. Khan, F. S. Khan, Y. Pang, L. Shao, and J. Laaksonen, Deep Contextual
Attention for Human-Object Interaction Detection, in IEEE/CVF International
Conference on Computer Vision (ICCV), pp. 5693-5701, 2019.
W. Wang, X. Lu, J. Shen, D.
Crandall, and L. Shao, Zero-Shot Video Object Segmentation via Attentive
Graph Neural Networks, in IEEE/CVF International Conference on Computer Vision
(ICCV), pp. 9235-9244, 2019.
W. Wang, J. Shen, M.-M. Cheng, and L.
Shao, An Iterative and Cooperative Top-Down and Bottom-Up Inference Network
for Salient Object Detection, in IEEE Conference on Computer Vision and Pattern
Recognition (CVPR), pp. 5968-5977, 2019.
W. Wang, Z. Zhang, S. Qi, J. Shen,
Y. Pang, and L. Shao, Learning Compositional Neural Information Fusion
for Human Parsing, in IEEE/CVF International Conference on Computer Vision
(ICCV), pp. 5702-5712, 2019.
Z. Wang, J. Xu, L. Liu, F. Zhu, and L.
Shao, RANet: Ranking Attention Network for Fast Video Object Segmentation,
in IEEE/CVF International Conference on Computer Vision (ICCV), pp. 3977-3986,
2019.
Z. Wei, J. Zhang, L. Liu, F. Zhu, F.
Shen, Y. Zhou, S. Liu, Y. Sun, and L. Shao, Building Detail-Sensitive
Semantic Segmentation Networks With Polynomial Pooling, in IEEE Conference on
Computer Vision and Pattern Recognition (CVPR), pp. 7115-7123, 2019.
G.-S. Xie, L. Liu, X. Jin, F. Zhu,
Z. Zhang, J. Qin, Y. Yao, and L. Shao, Attentive Region Embedding
Network for Zero-Shot Learning, in IEEE Conference on Computer Vision and
Pattern Recognition (CVPR), pp. 9384-9393, 2019.
A. Zhang, J. Shen, Z. Xiao, F. Zhu, X.
Zhen, X. Cao, and L. Shao, Relational Attention Network for Crowd
Counting, in IEEE/CVF International Conference on Computer Vision (ICCV), pp.
6787-6796, 2019.
A. Zhang, L. Yue, J. Shen, F. Zhu,
X. Zhen, X. Cao, and L. Shao, Attentional Neural Fields for Crowd
Counting, in IEEE/CVF International Conference on Computer Vision (ICCV), pp.
5713-5722, 2019.
Y. Zhou, X. He, L. Huang, L. Liu, F.
Zhu, S. Cui, and L. Shao, Collaborative Learning of Semi-Supervised
Segmentation and Classification for Medical Images, in IEEE Conference on
Computer Vision and Pattern Recognition (CVPR), pp. 2079-2088, 2019.
X. Dong, J. Shen, W. Wang, Y. Liu, L.
Shao, and F. Porikli, Hyperparameter Optimization
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