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Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting


Dec 27, 2022
Zixuan Ye, Yutong Dai, Chaoyi Hong, Zhiguo Cao, Hao Lu

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* Accepted to AAAI 2023; 11 pages, 9 figures; Code is available at https://github.com/coconuthust/composition_styles 

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ParallelNet: Multi-mode Trajectory Prediction by Multi-mode Trajectory Fusion


Dec 20, 2022
Fei Wu, Luoyu Chen, Hao Lu

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* 8 pages,8 figures 

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SAPA: Similarity-Aware Point Affiliation for Feature Upsampling


Sep 26, 2022
Hao Lu, Wenze Liu, Zixuan Ye, Hongtao Fu, Yuliang Liu, Zhiguo Cao

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* Accepted to NeurIPS 2022. Code is available at https://github.com/poppinace/sapa 

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DoF-NeRF: Depth-of-Field Meets Neural Radiance Fields


Aug 01, 2022
Zijin Wu, Xingyi Li, Juewen Peng, Hao Lu, Zhiguo Cao, Weicai Zhong

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* Accepted by ACMMM 2022 

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Design What You Desire: Icon Generation from Orthogonal Application and Theme Labels


Jul 31, 2022
Yinpeng Chen, Zhiyu Pan, Min Shi, Hao Lu, Zhiguo Cao, Weicai Zhong

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* 10 pages, 12 figures 

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FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling


Jul 21, 2022
Hao Lu, Wenze Liu, Hongtao Fu, Zhiguo Cao

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* Accepted to ECCV 2022. Code is available at http://lnkiy.in/fade_in 

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Robust Object Detection With Inaccurate Bounding Boxes


Jul 20, 2022
Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao, Ziming Zhang

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* Accepted by ECCV 2022 

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3D Instances as 1D Kernels


Jul 18, 2022
Yizheng Wu, Min Shi, Shuaiyuan Du, Hao Lu, Zhiguo Cao, Weicai Zhong

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* Appearing in ECCV, 2022 

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MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects


Jul 18, 2022
Juewen Peng, Jianming Zhang, Xianrui Luo, Hao Lu, Ke Xian, Zhiguo Cao

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* Accepted by ECCV 2022; Project: https://juewenpeng.github.io/MPIB/ 

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BokehMe: When Neural Rendering Meets Classical Rendering


Jun 25, 2022
Juewen Peng, Zhiguo Cao, Xianrui Luo, Hao Lu, Ke Xian, Jianming Zhang

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* Accepted by CVPR 2022 (Oral); Project: https://juewenpeng.github.io/BokehMe/ 

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