Facial landmark detection has long been impeded by the problems of occlusion and pose variation. In Proceedings of European Conference on Computer Vision (ECCV), 2018 [Project Page] Learning to Cluster Faces via Confidence and Connectivity Estimation. (2019). Please enable scripts and reload this page. You may be trying to access this site from a secured browser on the server. Deep Surround Visual Reasoning for Autonomous Driving, Effective and Efficient Image Super-Resolution by Convolutional Neural Network on Mobile Devices, Learning Dynamic-Routing Deep Convolutional Networks for Image Restoration by Reinforcement Learning. 109. papers. Unsupervised 3D shape reconstruction from 2D Image GANs, X. Pan, B. Dai, Z. Liu, C. C. Loy, P. Luo, Focal Frequency Loss for Generative Models, Positional Encoding as Spatial Inductive Bias in GANs, R. Xu, X. Wang, K. Chen, B. Zhou, C. C. Loy, TSIT: A Simple and Versatile Framework for Image-to-Image Translation, L. Jiang, C. Zhang, M. Huang, C. Liu, J. Shi, C. C. Loy, MEAD: A Large-scale Audio-visual Dataset for Emotional Talking Face Generation, K. Wang, Q. Wu, L. Song, Z. Yang, W. Wu, C. Qian, R. He, Y. Qiao, C. C. Loy, X. Zhan, X. Pan, B. Dai, Z. Liu, D. Lin, C. C. Loy, DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection, L. Jiang, W. Wu, R. Li, C. Qian, C. C. Loy, Everybodyâs Talkinâ: Let Me Talk as You Want, L. Song, W. Wu, C. Qian, R. He, C. C. Loy, Y. Xiangli, Y. Deng, B. Dai, C. C. Loy, D. Lin, Y. Zhang, S. Zhang, Y. Song, T. Xiang, T. M. Hospedales, C. C. Loy, Reading Scene Text in Deep Convolutional Sequences, P. He, W. Huang, Y. Qiao, C. C. Loy, X. Tang, Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition, G. Yin, L. Sheng, B. Liu, N. Yu, X. Wang, J. Shao, C. C. Loy, Learning to Disambiguate by Asking Discriminative Questions, Development of Fine-grained Pill Identification Algorithm using Deep Convolutional Network, Y. F. Wong, H. T. Ng, K. Y. Leung, K. Y. Chan, S. Y. Chan, C. C. Loy, Robust and Fast Decoding of High-Capacity Color QR Codes for Mobile Applications, Z. Yang, H. Xu, J. Deng, C. C. Loy, W. C. Lau, Towards Robust Color Recovery for High-Capacity Color QR Codes, Z. Yang, Z. Cheng, C. C. Loy, W. C. Lau, C. M. Li, G. Li, Authenticating the Identity of Computer Users with Typing Biometrics and the Fuzzy Min-Max Neural Network, A. Quteishat, C. P. Lim, C. C. Loy, and W. K. Lai, Keystroke Patterns Classification using the ARTMAP-FD Neural Network, Pressure-based Typing Biometrics User Authentication Using The Fuzzy ARTMAP Neural Network, The Development of a Pressure-based Typing Biometrics User Authentication System, Classification of Computer System Users through Keystroke Dynamics, C. C. Loy, I. Hanum, C. P. Lim, W. K. Lai, Robust Modular ARTMAP for Multi-Class Shape Recognition, C. P. Tan, C. C. Loy, W. K. Lai, and C. P. Lim, Modular ARTMAP for Multi-Class Pattern Recognition, Use of Circle-Segments as a Data Visualization Technique for Feature Selection in Pattern Classification, S. L. Wang, C. C. Loy, C. P. Lim, W. K. Lai, and K. S. Tan, Needle in a Data Haystack: Finding Similarities in High-Dimensional Data, Investigation into the Use of N-grams for Ovarian Cancer Identification, Z. (2019). 59. papers with code. Dr Loy's research interests include computer vision and deep learning. Semantic Scholar profile for Chen Change Loy, with 3344 highly influential citations and 203 scientific research papers. Chen Change Loy Machine Learning Researcher. Xintao is a researcher at Tencent ARC Lab, (Applied Research Center, Shenzhen). H-Index & Metrics. Chen Change Loy is a Nanyang Associate Professor with the School of Computer Science and Engineering, Nanyang Technological University, Singapore. Read this book using Google Play Books app on your PC, android, iOS devices. He is also an Adjunct Associate Professor at the Chinese University of Hong Kong, and a visiting scholar of Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China. (2018). X. Wang, K. Yu, S. Wu, J. Gu, Y. Liu, C. Dong, Y. Qiao, C. C. Loy. "Learning Scene-Independent Group … Lei Yang, Dapeng Chen, Xiaohang Zhan, Rui Zhao, Chen Change Loy… R. Xu, X. Li, B. Zhou, C. C. Loy. He was a postdoctoral researcher at Queen Mary University of London and Vision Semantics Limited, from 2010 to 2013. Email: firstname.lastname@example.org Assoc Prof Chen Change Loy, Copyright • Disclaimer • NTU Privacy Statement Reg. Jing Shao, Chen Change Loy, and Xiaogang Wang. (2018). Nanyang Associate Professor, School of Computer Science and EngineeringNTU Co-Associate Lab Director, SenseTime-NTU Joint Research Centre He is also an Adjunct Associate Professor at the Chinese University of Hong Kong. ), S. Gong, M. Cristani, C. C. Loy, and T. Hospedales, Evaluating Feature Importance for Re-Identification, POP: Person Re-Identification Post-Rank Optimisation, Person Re-Identification by Manifold Ranking. Mach. Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks. He is also an Adjunct Associate Professor at the Chinese University of Hong Kong, and a visiting scholar of Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China. He is an associate professor with the School of Computer Science and Engineering, Nanyang Technological University. Google H-index: 68: Number of Google Citations: 25,187: Number of Articles on DBLP: 206: External Links. 2020/01-now, I join in the MMLab@NTU as a research fellow and work with Dr. Chen Change Loy, School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore. Learning a Deep Convolutional Network for Image Super-Resolution, in Proceedings of European Conference on Computer Vision (ECCV), 2014 PDF Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang. Pattern Anal. Loy Chen Change is an Associate Professor with the School of Computer Science and Engineering, Nanyang Technological University, Singapore. Chen Change Loy is a Research Assistant Professor in the Chinese University of Hong Kong. Prior to joining NTU, he served as a Research Assistant Professor at the MMLab of the Chinese University of Hong Kong, from 2013 to 2018. Learning to Group Faces via Imitation Learning, Joint Face Representation Adaptation and Clustering in Videos, A Survey on Heterogeneous Face Recognition: Sketch, Infra-red, 3D and Low-Resolution, S. Ouyang, T. Hospedales, Y. Hybrid Task Cascade for Instance Segmentation Cascade is a classic yet powerful architecture that has … Verified email at ntu.edu.sg - … He received his PhD (2010) in Computer Science from the Queen Mary University of London. The mapping is represented as a deep convolutional neural network (CNN) that takes the low-resolution image as the input and outputs the high-resolution one. X. Wang, K. Yu, C. Dong, X. Tang, C. C. Loy. Song, X. Li, C. C. Loy, X. Wang, Incremental Activity Modelling in Multiple Disjoint Cameras, Comparing Visual Feature Coding for Learning Disjoint Camera Dependencies, Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding, Modelling Activity Global Temporal Dependencies using Time Delayed Probabilistic Graphical Model, Multi-Camera Activity Correlation Analysis, Pedestrian Color Naming via Convolutional Neural Network, Human Attribute Recognition by Deep Hierarchical Contexts, Pedestrian Attribute Recognition At Far Distance, On-the-fly Feature Importance Mining for Person Re-Identification, S. Gong, M. Cristani, S. Yan, C. C. Loy (Eds. "Scene-Independent Group Profiling in Crowd." ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. 02/19/2019 ∙ by Chen Change Loy, et al. Abstract. Nanyang Technological University. ), V. Murino, S. Gong, C. C. Loy, L. Bazzani (Eds. Chao Dong, Chen Change Loy, Xiaoou Tang. Person Re-Identification: What Features are Important? Chen Change Loy is a Nanyang Associate Professor with the School of Computer Science and Engineering, Nanyang Technological University, Singapore. BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond, Kelvin C. K. Chan, X. Wang, K. Yu, C. Dong, C. C. Loy, GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution, Kelvin C. K. Chan, X. Wang, X. Xu, J. Gu, C. C. Loy, Understanding Deformable Alignment in Video Super-Resolution, K. C. K. Chan, X. Wang, K. Yu, C. Dong, C. C. Loy, Cross-Scale Internal Graph Neural Network for Image Super-Resolution, Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation, X. Pan, X. Zhan, B. Dai, D. Lin, C. C. Loy, P. Luo, Deep Network Interpolation for Continuous Imagery Effect Transition, X. Wang, K. Yu, C. Dong, X. Tang, C. C. Loy, Non-Local Recurrent Network for Image Restoration, D. Liu, B. Wen, Y. Xintao Wang. He got his Ph.D. degree from Multimedia Laboratory, The Chinese University of Hong Kong, supervised by Prof. Xiaoou Tang and Prof. Chen Change Loy.He also works closely with Prof. Chao Dong.Previously, He received the B. Eng degree from Zhejiang University in 2016. Z. Sharifah, C. C. Loy, S. Y. Tai, and W. K. Lai, Dimensionality Reduction of Protein Mass Spectrometry Data Using Random Projection, C. C. Loy, X. Liu, T.-K. Kim, F. De la Torre, R. Chellappa (Eds. Download PDF Abstract: As a successful deep model applied in image super-resolution (SR), the Super-Resolution Convolutional Neural Network (SRCNN) has demonstrated superior performance to the previous hand-crafted models either in speed and restoration quality. Chen Change Loy is a Nanyang Associate Professor with the School of Computer Science and Engineering, Nanyang Technological University, Singapore. We propose a deep learning method for single image super-resolution (SR). 200604393R, © 2012 Nanyang Technological University Last modified on 28-Mar-2019. He, C. Li, C. C. Loy, Z. Liu, TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation, Disentangling Content and Style via Unsupervised Geometry Distillation, Instance-level Facial Attributes Transfer with Geometry-aware Flow, ReenactGAN: Learning to Reenact Faces via Boundary Transfer, W. Wu, Y. Zhang, C. Li, C. Qian, C. C. Loy, Dense Intrinsic Appearance Flow for Human Pose Transfer, W. Shi, T.-W. Hui, Z. Liu, D. Lin, C. C. Loy, Be Your Own Prada: Fashion Synthesis with Structural Coherence, S. Zhu, S. Fidler, R. Urtasun, D. Lin, C. C. Loy, TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting, Z. Yang, W. Zhu, W. Wu, C. Qian, Q. Zhou, B. Zhou, C. C. Loy, High-Quality Video Generation from Static Structural Annotations, L. Sheng, J. Pan, J. Guo, J. Shao, C. C. Loy, Unsupervised Bi-directional Flow-based Video Generation from one Snapshot, L. Sheng, J. Pan, J. Guo, J. Shao, X. Wang, C. C. Loy, Chasing the Tail in Monocular 3D Human Reconstruction with Prototype Memory, Delving Deep into Hybrid Annotations for 3D Human Recovery in the Wild, Y. Rong, Z. Liu, C. Li, K. Cao, C. C. Loy, Multi-Modality Cut and Paste for 3D Object Detection, Side-Aware Boundary Localization for More Precise Object Detection, J. Wang, W. Zhang, Y. Cao, K. Chen, J. Pang, T. Gong, J. Shi, C. C. Loy, D. Lin, RGB-D Salient Object Detection with Cross-Modality Modulation and Selection, C. Li, R. Cong, Y. Piao, Q. Xu, C. C. Loy, K. Chen, Y. Cao, C. C. Loy, D. Lin, C. Feichtenhofer, Prime Sample Attention in Object Detection, CARAFE: Content-Aware ReAssembly of FEatures, J. Wang, K. Chen, R. Xu, Z. Liu, C. C. Loy, D. Lin, MMDetection: Open MMLab Detection Toolbox and Benchmark, K. Chen, J. Wang, J. Pang, Y. Cao, Y. Xiong, X. Li, S. Sun, W. Feng, Z. Liu, J. Xu, Z. Zhang, D. Cheng, C. Zhu, T. Cheng, Q. Zhao, B. Li, X. Lu, R. Zhu, Y. Wu, J. Dai, J. Wang, J. Shi, W. Ouyang, C. C. Loy, D. Lin, Hybrid Task Cascade for Instance Segmentation, K. Chen, J. Pang, J. Wang, Y. Xiong, X. Li, S. Sun, W. Feng, Z. Liu, J. Shi, W. Ouyang, C. C. Loy, D. Lin, J. Wang, K. Chen, S. Yang, C. C. Loy, D. Lin, Optimizing Video Object Detection via a Scale-Time Lattice, K. Chen, J. Wang, S. Yang, X. Zhang, Y. Xiong, C. C. Loy, D. Lin, Fusing Object Context to Detect Functional Area for Cognitive Robots, H. Cheng, J. Cai, Q. Liu, Z. Zhang, K. Yang, C. C. Loy, L. Lin, Discover and Learn New Objects from Documentaries, DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks, W. Ouyang, X. Zeng, X. Wang, S. Qiu, P. Luo, Y. Tian, H. Li, S. Yang, Z. Wang, H. Li, K. Wang, J. Yan, C. C. Loy, X. Tang, DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection, W. Ouyang, X. Wang, X. Zeng, S. Qiu, P. Luo, Y. Tian, H. Li, S. Yang, Z. Wang, C. C. Loy, X. Tang, DeepID-Net: Multi-stage and Deformable Deep Convolutional Neural Network for Generic Object Detection, W. Ouyang, P. Luo, X. Zeng, S. Qiu, Y. Tian, H. Li, S. Yang, Z. Wang, Y. Xiong, C. Qian, Z. Zhu, R. Wang, C. C. Loy, X. Wang, X. Tang, Seesaw Loss for Long-Tailed Instance Segmentation, J. Wang, W. Zhang, Y. Zang, Y. Cao, J. Pang, T. Gong, K. Chen, Z. Liu, C. C. Loy, D. Lin, Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation, PSANet: Point-wise Spatial Attention Network for Scene Parsing, H. Zhao, Y. Zhang, S. Liu, J. Shi, C. C. Loy, D. Lin, J. Jia, Mix-and-Match Tuning for Self-supervised Semantic Segmentation, X. Zhan, Z. Liu, P. Luo, X. Tang, C. C. Loy, Video Object Segmentation with Re-identification, X. Li, Y. Qi, Z. Wang. From Dec. 2010 – Mar. K. Chen, Z. Liu, J. Shi, P. Luo, X. Tang, C. C. Loy, Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade, X. Li, Z. Liu, P. Luo, C. C. Loy, X. Tang, Deep Learning Markov Random Field for Semantic Segmentation, Z. Liu, X. Li, P. Luo, C. C. Loy, X. Tang, Semantic Image Segmentation via Deep Parsing Network, EcoNAS: Finding Proxies for Economical Neural Architecture Search, D. Zhou, X. Zhou, W. Zhang, C. C. Loy, S. Yi, X. Zhang, W. Ouyang, PolyNet: A Pursuit of Structural Diversity in Very Deep Networks, Local Similarity-Aware Deep Feature Embedding, Unsupervised Learning of Discriminative Attributes and Visual Representations, Learning Deep Representation for Imbalanced Classification, Deep Representation Learning with Target Coding, S. Yang, P. Luo, C. C. Loy, K. W. Shum, X. Tang, MessyTable: Instance Association in Multiple Camera Views, Z. Cai, J. Zhang, D. Ren, C. Yu, H. Zhao, S. Yi, C. K. Yeo, C. C. Loy, Robust Multi-Modality Multi-Object Tracking, W. Zhang, H. Zhou, S. Sun, Z. Wang, J. Shi, C. C. Loy, Delving into Inter-Image Invariance for Unsupervised Visual Representations, J. Xie, X. Zhan, Z. Liu, Y. S. Ong, C. C. Loy, Online Deep Clustering for Unsupervised Representation Learning, X. Zhan, J. Xie, Z. Liu, Y. S. Ong, C. C. Loy, Self-Supervised Learning via Conditional Motion Propagation, X. Zhan, X. Pan, Z. Liu, D. Lin, C. C. Loy, Computation-Efficient Knowledge Distillation via Uncertainty-Aware Mixup, Knowledge Distillation Meets Self-Supervision, Inter-Region Affinity Distillation for Road Marking Segmentation, Y. Hou, Z. Ma, C. Liu, T.-W. Hui, C. C. Loy, Learning Lightweight Lane Detection CNNs by Self Attention Distillation, Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks, Feature Matters: A Stage-by-Stage Approach for Knowledge Transfer, M. Gao, Y. Shen, Q. Li, C. C. Loy, X. Tang, Learning a Unified Classifier Incrementally via Rebalancing, S. Hou, X. Pan, C. C. Loy, Z. Wang, D. Lin, Lifelong Learning via Progressive Distillation and Retrospection, Improving On-policy Learning with Statistical Reward Accumulation, Y. Deng, K. Yu, D. Lin, X. Tang, C. C. Loy, Deep Imbalanced Learning for Face Recognition and Attribute Prediction, Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition, X. Zhan, Z. Liu, J. Yan, D. Lin, C. C. Loy, The Devil of Face Recognition is in the Noise, F. Wang, L. Chen, C. Li, S. Huang, Y. Chen, C. Qian, C. C. Loy, Pose-Robust Face Recognition via Deep Residual Equivariant Mapping, K. Cao, Y. Rong, C. Li, X. Tang, C. C. Loy, WIDER Face and Pedestrian Challenge 2018: Methods and Results. … Person Re-Identification - Ebook written by Shaogang Gong, Marco Cristani, Shuicheng Yan, Chen Change Loy. Deep Flow-Guided Video Inpainting. Chen Change Loy is a Nanyang Associate Professor with the School of Computer Science and Engineering, Nanyang Technological University, Singapore.He is also an Adjunct Associate Professor at the Chinese University of Hong Kong.
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