Selected Papers

In top venues: TPAMI x 12, IJCV x 2, TIP x 5, TOG x 1, CVPR x 30, ICCV x 9, ECCV x 6, NeurIPS x 5, ICML x 1.
Complete list: click here , or refer to Google Scholar and DBLP for more updated information.



2021

  • [TPAMI21a]

    Hybrid face reflectance, illumination, and shape from a single image
    Yongjie Zhu, Chen Li, Si Li, Boxin Shi, and Yu-Wing Tai
    pdf video
  • [TPAMI21b]

    Guided Event Filtering: Synergy between Intensity Images and Neuromorphic Events for High Performance Imaging
    Peiqi Duan, Zihao W. Wang, Boxin Shi, Oliver Cossairt, Tiejun Huang, and Aggelos K. Katsaggelos
    pdf
  • [TPAMI21c]

    Patch-based Uncalibrated Photometric Stereo under Natural Illumination
    Heng Guo, Zhipeng Mo, Boxin Shi, Feng Lu, Sai-Kit Yeung, Ping Tan, and Yasuyuki Matsushita
    pdf
  • [TMM21]

    A3-FKG: Attentive attribute-aware fashion knowledge graph for outfit preference prediction
    Huijing Zhan, Jie Lin, Kenan Emir Ak, Boxin Shi, Ling-Yu Duan, and Alex C. Kot
    pdf
  • [ICCV21]

    EvIntSR-Net: Event Guided Multiple Latent Frames Reconstruction and Super-resolution
    Jin Han, Yixin Yang, Chu Zhou, Chao Xu, and Boxin Shi
    pdf
  • [CVPR21a]

    EventZoom: Learning to denoise and super resolve neuromorphic events
    Peiqi Duan, Zihao W. Wang, Xinyu Zhou, Yi Ma, and Boxin Shi
    pdf project website
  • [CVPR21b]

    Spatially-varying outdoor lighting estimation from intrinsics
    Yongjie Zhu, Yinda Zhang, Si Li, and Boxin Shi
    pdf
  • [CVPR21c]

    Panoramic image reflection removal
    Yuchen Hong, Qian Zheng, Lingran Zhao, Xudong Jiang, Alex C. Kot, and Boxin Shi
    pdf
  • [CVPR21d]

    Single image reflection removal with absorption effect
    Qian Zheng, Boxin Shi, Jinnan Chen, Xudong Jiang, Ling-Yu Duan, and Alex C. Kot
    pdf
  • [CVPR21e]

    Normal integration via inverse plane fitting with minimum point-to-plane distance
    Xu Cao, Boxin Shi, Fumio Okura, and Yasuyuki Matsushita
    pdf
  • [CVPR21f]

    Multispectral photometric stereo for spatially-varying spectral reflectances: A well posed problem?
    Heng Guo, Fumio Okura, Boxin Shi, Takuya Funatomi, Yasuhiro Mukaigawa, and Yasuyuki Matsushita
    pdf
  • [CVPR21g]

    High-speed image reconstruction through short-term plasticity for spiking cameras
    Yajing Zheng, Lingxiao Zheng, Zhaofei Yu, Boxin Shi, Yonghong Tian, and Tiejun Huang
    pdf
  • [ICCP21]

    DeRenderNet: Intrinsic image decomposition of urban scenes with shape-(in)dependent shading rendering
    Yongjie Zhu, Jiajun Tang, Si Li, and Boxin Shi
    pdf

2020

  • [BookChapter]

    Recent progress in shape from polarization (Advances in Photometric 3D-Reconstruction, Chapter 6)
    Boxin Shi, Jinfa Yang, Jinwei Chen, Ruihua Zhang, and Rui Chen
    link
  • [IJCV20]

    Face image reflection removal
    Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, and Alex C. Kot
    pdf
  • [TPAMI20a]

    Ambiguity-free radiometric calibration for Internet photo collections
    Zhipeng Mo, Boxin Shi, Sai-Kit Yeung, and Yasuyuki Matsushita
    pdf
  • [TPAMI20b]

    Deep photometric stereo networks for determining surface normal and reflectances
    Hiroaki Santo, Masaki Samejima, Yusuke Sugano, Boxin Shi, and Yasuyuki Matsushita
    pdf
  • [TPAMI20c]

    Deep photometric stereo for non-Lambertian surfaces
    Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, and Kwan-Yee K. Wong
    pdf
  • [TPAMI20d]

    Optimizing latent distributions for non-adversarial generative networks
    Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, and Dacheng Tao
    pdf
  • [TIP20]

    Multi-view photometric stereo: A robust solution and benchmark dataset for spatially varying isotropic materials
    Min Li, Zhenglong Zhou, Zhe Wu, Boxin Shi, Changyu Diao, and Ping Tan
    pdf project website
  • [TMM20]

    Pose normalized and appearance-preserved street-to-shop clothing image generation and feature learning
    Huijing Zhan, Chenyu Yi, Boxin Shi, Jie Lin, Ling-Yu Duan, and Alex C. Kot
    pdf
  • [NeurIPS20a]

    UnModNet: Learning to unwrap a modulo image for high dynamic range imaging
    Chu Zhou, Hang Zhao, Jin Han, Chang Xu, Chao Xu, Tiejun Huang, and Boxin Shi
    pdf
  • [NeurIPS20b]

    GPS-Net: Graph-based photometric stereo network
    Zhuokun Yao, Kun Li, Ying Fu, Haofeng Hu, and Boxin Shi
    pdf
  • [NeurIPS20c]

    Group contextual encoding for 3D point clouds
    Xu Liu, Chengtao Li, Jian Wang, Jingbo Wang, Boxin Shi, and Xiaodong He
    pdf
  • [ECCV20a]

    Conditional image repainting via semantic bridge and piecewise value function
    Shuchen Weng, Wenbo Li, Dawei Li, Hongxia Jin, and Boxin Shi
    pdf
  • [ECCV20b]

    Deep shape from polarization
    Yunhao Ba, Alex Ross Gilbert, Franklin Wang, Jinfa Yang, Rui Chen, Yiqin Wang, Lei Yan, Boxin Shi, and Achuta Kadambi
    pdf project website
  • [ECCV20c]

    FHDe2Net: Full high definition demoireing network
    Bin He, Ce Wang, Boxin Shi, and Ling-Yu Duan
    pdf
  • [ECCV20d]

    What is learned in deep uncalibrated photometric stereo?
    Guanying Chen, Michael Waechter, Boxin Shi, Kwan-Yee Kenneth Wong, and Yasuyuki Matsushita
    pdf project website
  • [AAAI20a]

    Reborn filters: Pruning convolutional neural networks with limited data
    Yehui Tang, Shan You, Chang Xu, Jin Han, Chen Qian, Boxin Shi, Chao Xu, and Changshui Zhang
    pdf
  • [AAAI20b]

    Beyond dropout: Feature map distortion to regularize deep neural networks
    Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, and Chang Xu
    pdf
  • [AAAI20c]

    Distilling portable generative adversarial networks for image translation
    Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, and Chang Xu
    pdf
  • [CVPR20a]

    Neuromorphic camera guided high dynamic range imaging
    Jin Han, Chu Zhou, Peiqi Duan, Yehui Tang, Chang Xu, Chao Xu, Tiejun Huang, and Boxin Shi
    pdf
  • [CVPR20b]

    Joint filtering of intensity images and neuromorphic events for high-resolution noise robust imaging
    Zihao Wang, Peiqi Duan, Oliver Cossairt, Aggelos Katsaggelos, Tiejun Huang, and Boxin Shi
    pdf project website
  • [CVPR20c]

    MISC: Multi-condition injection and spatially-adaptive compositing for conditional person rendering
    Shuchen Weng, Wenbo Li, Dawei Li, Hongxia Jin, and Boxin Shi
    pdf
  • [CVPR20d]

    Reflection scene separation from a single image
    Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, and Alex C. Kot
    pdf
  • [CVPR20e]

    What does plate glass reveal about camera calibration?
    Qian Zheng, Jinnan Chen, Zhan Lu, Boxin Shi, Xudong Jiang, Kim-Hui Yap, Ling-Yu Duan, and Alex C. Kot
    pdf
  • [CVPR20f]

    Stereoscopic flash and no-flash photography for shape and albedo recovery
    Xu Cao, Michael Waechter, Boxin Shi, Ye Gao, Bo Zheng, and Yasuyuki Matsushita
    pdf
  • [CVPR20g]

    DIST: Rendering deep implicit signed distance function with differentiable sphere tracing
    Shaohui Liu, Yinda Zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, and Zhaopeng Cui
    pdf project website
  • [CVPR20h]

    On positive-unlabeled classification in GAN
    Tianyu Guo, Chang Xu, Jiajun Huang, Yunhe Wang, Boxin Shi, Chao Xu, and Dacheng Tao
    pdf
  • [CVPR20i]

    AdderNet: Do we really need multiplications in deep learning?
    Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, and Chang Xu
    pdf
  • [CVPR20j]

    Frequency domain compact 3D convolutional neural networks
    Hanting Chen, Yunhe Wang, Han Shu, Yehui Tang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, and Chang Xu
    pdf
  • [CVPR20k]

    CARS: Continuous evolution for efficient neural architecture search
    Zhaohui Yang, Yunhe Wang, Xinghao Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, and Chang Xu
    pdf
  • [CVPR20l]

    A semi-supervised assessor of neural architectures
    Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, and Chang Xu
    pdf

2019

  • [TNNLS19]

    Robust Student Network Learning
    Tianyu Guo, Chang Xu, Shiyi He, Boxin Shi, Chao Xu, and Dacheng Tao
    pdf
  • [TPAMI19a]

    A benchmark dataset and evaluation for non-Lambertian and uncalibrated photometric stereo
    Boxin Shi, Zhipeng Mo, Zhe Wu, Dinglong Duan, Sai-Kit Yeung, and Ping Tan
    pdf project website
  • [TPAMI19b]

    A microfacet-based model for photometric stereo with general isotropic reflectance
    Lixiong Chen, Yinqiang Zheng, Boxin Shi, Art Subpa-Asa, and Imari Sato
    pdf
  • [TPAMI19c]

    CoRRN:Cooperative reflection removal network
    Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Ah-Hwee Tan, and Alex C. Kot
    pdf project website
  • [TIP19]

    Numerical reflectance compensation for non-Lambertian photometric stereo
    Qian Zheng, Ajay Kumar, Boxin Shi, and Gang Pan
    pdf
  • [NeurIPS19a]

    Learning from bad data via generation
    Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, and Dacheng Tao
    pdf
  • [NeurIPS19b]

    Reflection separation using a pair of unpolarized and polarized images
    Youwei Lyu, Zhaopeng Cui, Si Li, Marc Pollefeys, and Boxin Shi
    pdf
  • [ICCV19a]

    SPLINE-Net: Sparse photometric stereo through lighting interpolation and normal estimation networks
    Qian Zheng, Yiming Jia, Boxin Shi, Xudong Jiang, Ling-Yu Duan, and Alex C. Kot
    pdf
  • [ICCV19b]

    Learning to jointly generate and separate reflections
    Daiqian Ma, Renjie Wan, Boxin Shi, Alex C. Kot, and Ling-Yu Duan
    pdf
  • [ICCV19c]

    Mop moire patterns using MopNet
    Bin He, Ce Wang, Boxin Shi, and Ling-Yu Duan
    pdf
  • [ICCV19d]

    Data-free learning of student networks
    Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, and Qi Tian
    pdf
  • [MM19]

    See Through the Windshield from Surveillance Camera
    Daiqian Ma, Yan Bai, Renjie Wan, Ce Wang, Boxin Shi, Ling-Yu Duan
    pdf
  • [CVPR19]

    Self-calibrating deep photometric stereo networks
    Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, and Kwan-Yee K. Wong
    pdf project website
  • [ICML19]

    LegoNet: Efficient convolutional neural networks with Lego filters
    Zhaohui Yang, Yunhe Wang, Hanting Chen, Chuanjian Liu, Boxin Shi, Chao Xu, Chunjing Xu, and Chang Xu
    pdf
  • [AAAI19]

    Smooth deep image generator from noises
    Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, and Dacheng Tao
    pdf

2018

  • [TIP18a]

    Self-similarity constrained sparse representation for hyperspectral image super-resolution
    Xian-Hua Han, Boxin Shi, and Yinqiang Zheng
    pdf
  • [TIP18b]

    Region-aware reflection removal with unified content and gradient priors
    Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Wen Gao, and Alex C. Kot
    pdf
  • [CVPR18a]

    Uncalibrated photometric stereo under natural illumination
    Zhipeng Mo, Boxin Shi, Feng Lu, Sai-Kit Yeung, and Yasuyuki Matsushita
    pdf
  • [CVPR18b]

    Self-calibrating polarising radiometric calibration
    Daniel Teo Guangwei, Boxin Shi, Yinqiang Zheng, and Sai-Kit Yeung
    pdf
  • [CVPR18c]

    CRNN: Multi-scale guided concurrent reflection removal network
    Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, and Alex C. Kot
    pdf
  • [CVPR18d]

    Depth-aware stereo video retargeting
    Bing Li, Chia-Wen Lin, Boxin Shi, Tiejun Huang, Wen Gao, and C.-C. Jay Kuo
    pdf
  • [MM18]

    ChipGAN: A generative adversarial network for Chinese ink wash painting style transfer
    Bin He, Feng Gao, Daiqian Ma, Boxin Shi, and Ling-Yu Duan
    pdf

Before 2017