Learning to Draw Sight Lines von Zhao, Hao, Lu, Ming, Yao, Anbang, Chen, Yurong, Zhang, Li

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A compact association of particle filtering and kernel based object tracking von Yao, Anbang, Lin, Xinggang, Wang, Guijin, Yu, Shan

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Robust Face Representation Using Hybrid Spatial Feature Interdependence Matrix von Yao, Anbang, Yu, Shan

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Exemplar-Based Portrait Style Transfer von Lu, Ming, Xu, Feng, Zhao, Hao, Yao, Anbang, Chen, Yurong, Zhang, Li

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An incremental Bhattacharyya dissimilarity measure for particle filtering von Yao, Anbang, Wang, Guijin, Lin, Xinggang, Chai, Xiujuan

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Knowledge Transfer via Dense Cross-Layer Mutual-Distillation von Yao, Anbang, Sun, Dawei

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OANet: Learning Two-View Correspondences and Geometry Using Order-Aware Network von Zhang, Jiahui, Sun, Dawei, Luo, Zixin, Yao, Anbang, Chen, Hongkai, Zhou, Lei, Shen, Tianwei, Chen, Yurong, Quan, Long, Liao, Hongen

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Pointly-supervised scene parsing with uncertainty mixture von Zhao, Hao, Lu, Ming, Yao, Anbang, Guo, Yiwen, Chen, Yurong, Zhang, Li

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PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer von Li, Duo, Yao, Anbang, Chen, Qifeng

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Measuring Particles in Joint Feature-Spatial Space von SHA, Liang, WANG, Guijin, YAO, Anbang, LIN, Xinggang

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Resolution Switchable Networks for Runtime Efficient Image Recognition von Wang, Yikai, Sun, Fuchun, Li, Duo, Yao, Anbang

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Learning to Learn Parameterized Classification Networks for Scalable Input Images von Li, Duo, Yao, Anbang, Chen, Qifeng

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Kernel based articulated object tracking with scale adaptation and model update von Anbang Yao, Guijin Wang, Xinggang Lin, Hao Wang

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KernelWarehouse: Rethinking the Design of Dynamic Convolution von Li, Chao, Yao, Anbang

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KernelWarehouse: Towards Parameter-Efficient Dynamic Convolution von Li, Chao, Yao, Anbang

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Efficient Semantic Scene Completion Network with Spatial Group Convolution von Zhang, Jiahui, Zhao, Hao, Yao, Anbang, Chen, Yurong, Zhang, Li, Liao, Hongen

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Efficient Meta-Tuning for Content-Aware Neural Video Delivery von Li, Xiaoqi, Liu, Jiaming, Wang, Shizun, Lyu, Cheng, Lu, Ming, Chen, Yurong, Yao, Anbang, Guo, Yandong, Zhang, Shanghang

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NOAH: Learning Pairwise Object Category Attentions for Image Classification von Li, Chao, Zhou, Aojun, Yao, Anbang

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Knowledge Transfer via Dense Cross-Layer Mutual-Distillation von Yao, Anbang, Sun, Dawei

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KernelWarehouse: Rethinking the Design of Dynamic Convolution von Li, Chao, Yao, Anbang

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