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Chen Qian
Researcher at SenseTime
Publications - 207
Citations - 10106
Chen Qian is an academic researcher from SenseTime. The author has contributed to research in topics: Computer science & Pose. The author has an hindex of 30, co-authored 125 publications receiving 5669 citations. Previous affiliations of Chen Qian include Shanghai Jiao Tong University & The Chinese University of Hong Kong.
Papers
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Proceedings ArticleDOI
DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
TL;DR: DeeperForensics-1.0 as mentioned in this paper is a large-scale benchmark for face forgery detection, which contains 60, 000 videos constituted by a total of 17.6 million frames.
Book ChapterDOI
VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results
Pengfei Zhu,Longyin Wen,Dawei Du,Xiao Bian,Haibin Ling,Qinghua Hu,Qinqin Nie,Hao Cheng,Chenfeng Liu,Xiaoyu Liu,Wenya Ma,Haotian Wu,Lianjie Wang,Arne Schumann,Chase Brown,Chen Qian,Chengzheng Li,Dongdong Li,Emmanouil Michail,Fan Zhang,Feng Ni,Feng Zhu,Guanghui Wang,Haipeng Zhang,Han Deng,Hao Liu,Haoran Wang,Heqian Qiu,Honggang Qi,Honghui Shi,Hongliang Li,Hongyu Xu,Hu Lin,Ioannis Kompatsiaris,Jian Cheng,Jianqiang Wang,Jianxiu Yang,Jingkai Zhou,Juanping Zhao,K J Joseph,Kaiwen Duan,Karthik Suresh,Bo Ke,Ke Wang,Konstantinos Avgerinakis,Lars Sommer,Lei Zhang,Li Yang,Lin Cheng,Lin Ma,Liyu Lu,Lu Ding,Minyu Huang,Naveen Kumar Vedurupaka,Nehal Mamgain,Nitin Bansal,Oliver Acatay,Panagiotis Giannakeris,Qian Wang,Qijie Zhao,Qingming Huang,Qiong Liu,Qishang Cheng,Qiuchen Sun,Robert Laganiere,Sheng Jiang,Shengjin Wang,Shubo Wei,Siwei Wang,Stefanos Vrochidis,Sujuan Wang,Tiaojio Lee,Usman Sajid,Vineeth N Balasubramanian,Wei Li,Wei Zhang,Weikun Wu,Wenchi Ma,Wenrui He,Wenzhe Yang,Xiaoyu Chen,Xin Sun,Xinbin Luo,Xintao Lian,Xiufang Li,Yangliu Kuai,Yali Li,Yi Luo,Yifan Zhang,Yiling Liu,Ying Li,Yong Wang,Yongtao Wang,Yuanwei Wu,Yue Fan,Yunchao Wei,Yuqin Zhang,Zexin Wang,Zhangyang Wang,Zhaoyue Xia,Zhen Cui,Zhenwei He,Zhipeng Deng,Zhiyao Guo,Zichen Song +104 more
TL;DR: A large-scale drone-based dataset, including 8, 599 images with rich annotations, including object bounding boxes, object categories, occlusion, truncation ratios, etc, is released, to narrow the gap between current object detection performance and the real-world requirements.
Proceedings ArticleDOI
Deep Comprehensive Correlation Mining for Image Clustering
TL;DR: A novel clustering framework, named deep comprehensive correlation mining~(DCCM), for exploring and taking full advantage of various kinds of correlations behind the unlabeled data from three aspects: Instead of only using pair-wise information, pseudo-label supervision is proposed to investigate category information and learn discriminative features.
Posted Content
ReenactGAN: Learning to Reenact Faces via Boundary Transfer
TL;DR: The proposed method, known as ReenactGAN, is capable of transferring facial movements and expressions from an arbitrary person's monocular video input to a target person’s video, and can perform photo-realistic face reenactment.
Book ChapterDOI
ReenactGAN: Learning to Reenact Faces via Boundary Transfer
TL;DR: Wu et al. as discussed by the authors presented a learning-based framework for face reenactment, which is capable of transferring facial movements and expressions from an arbitrary person's monocular video input to a target person's video by mapping the source face onto a boundary latent space.