Selected Papers

In top venues: TPAMI x 14, IJCV x 5, TIP x 5, TOG x 1, CVPR x 34, ICCV x 9, ECCV x 14, ICCP x 2, NeurIPS x 7, ICML x 1, MM x 3, AAAI x 5.
Complete list: click here , or refer to Google Scholar and DBLP for more updated information.



2022

  • [TPAMI22a]

    Physics-guided reflection separation from a pair of unpolarized and polarized images
    Youwei Lyu, Zhaopeng Cui, Si Li, Marc Pollefeys, and Boxin Shi
    pdf
  • [TPAMI22b]

    Benchmarking single-image reflection removal algorithms
    Renjie Wan, Boxin Shi, Haoliang Li, Yuchen Hong, Ling-Yu Duan, and Alex C. Kot
    pdf project website
  • [IJCV22a]

    Shape and albedo recovery by your phone using stereoscopic flash and no-flash photography
    Xu Cao, Michael Waechter, Boxin Shi, Ye Gao, Bo Zheng, Fumio Okura, and Yasuyuki Matsushita
    pdf
  • [IJCV22b]

    Multispectral photometric stereo for spatially-varying spectral reflectances
    Heng Guo, Fumio Okura, Boxin Shi, Takuya Funatomi, Yasuhiro Mukaigawa, and Yasuyuki Matsushita
    pdf
  • [IJCV22c]

    NormAttention-PSN: A high-frequency region enhanced photometric stereo network with normalized attention
    Yakun Ju, Boxin Shi, Muwei Jian, Lin Qi, and Junyu Dong
    pdf
  • [Engineering22]

    1000× faster camera and machine vision with ordinary devices
    Tiejun Huang, Yajing Zheng, Zhaofei Yu, Rui Chen, Yuan Li, Ruiqin Xiong, Lei Ma, Junwei Zhao, Siwei Dong, Lin Zhu, Jianing Li, Shanshan Jia, Yihua Fu, Boxin Shi, Si Wu, and Yonghong Tian
    pdf
  • [TMM22a]

    Background scene recovery from an image looking through colored glass
    Ce Wang, Dejia Xu, Renjie Wan, Bin He, Boxin Shi, and Ling-Yu Duan
    pdf
  • [TMM22b]

    A residual learning approach to deblur and generate high frame rate video with an event camera
    Haoyu Chen, Minggui Teng, Boxin Shi, Yizhou Wang, and Tiejun Huang
    pdf
  • [TMM22c]

    Reflection removal with NIR and RGB image feature fusion
    Yuchen Hong, Youwei Lyu, Si Li, Gang Cao, and Boxin Shi
    pdf
  • [TCSVT22]

    Self-supervised low-light image enhancement using discrepant untrained network priors
    Jinxiu Liang, Yong Xu, Yuhui Quan, Boxin Shi, and Hui Ji
    pdf
  • [NeurIPS22]

    Neural transmitted radiance fields
    Chengxuan Zhu, Renjie Wan, and Boxin Shi
    pdf
  • [ECCV22a]

    Estimating spatially-varying lighting in urban scenes with disentangled representation
    Jiajun Tang, Yongjie Zhu, Haoyu Wang, Jun Hoong Chan, Si Li, and Boxin Shi
    pdf project website
  • [ECCV22b]

    CT^2: Colorization transformer via color tokens
    Shuchen Weng, Jimeng Sun, Yu Li, Si Li, and Boxin Shi
    pdf project website
  • [ECCV22c]

    Instance contour adjustment via structure-driven CNN
    Shuchen Weng, Yi Wei, Ming-Ching Chang, and Boxin Shi
    pdf
  • [ECCV22d]

    NEST: Neural event stack for event-based image enhancement
    Minggui Teng, Chu Zhou, Hanyue Lou, and Boxin Shi
    pdf project website
  • [ECCV22e]

    Data association between event streams and intensity frames under diverse baselines
    Dehao Zhang, Qiankun Ding, Peiqi Duan, Chu Zhou, and Boxin Shi
    pdf
  • [ECCV22f]

    Real-time intermediate flow estimation for video frame interpolation
    Zhewei Huang, Tianyuan Zhang, Wen Heng, Boxin Shi, and Shuchang Zhou
    pdf project website
  • [ECCV22g]

    L-CoDer: Language-based colorization with color-object decoupling transformer
    Zheng Chang, Shuchen Weng, Yu Li, Si Li, and Boxin Shi
    pdf project website
  • [ECCV22h]

    Bilateral normal integration
    Xu Cao, Hiroaki Santo, Boxin Shi, Fumio Okura, and Yasuyuki Matsushita
    pdf project website
  • [MM22]

    AdsCVLR: Commercial visual-linguistic representation modeling in sponsored search
    Yongjie Zhu, Chunhui Han, Yuefeng Zhan, Bochen Pang, Zhaoju Li, Hao Sun, Si Li, Boxin Shi, Nan Duan, Ruofei Zhang, Liangjie Zhang, Weiwei Deng, and Qi Zhang
    pdf
  • [CVPR22a]

    EvUnroll: Neuromorphic events based rolling shutter image correction
    Xinyu Zhou, Peiqi Duan, Yi Ma, and Boxin Shi
    pdf project website
  • [CVPR22b]

    DiLiGenT10^2: A photometric stereo benchmark dataset with controlled shape and material variation
    Jieji Ren, Feishi Wang, Jiahao Zhang, Qian Zheng, Mingjun Ren, and Boxin Shi
    pdf project website
  • [CVPR22c]

    UniCoRN: A unified conditional image repainting network
    Jimeng Sun, Shuchen Weng, Zheng Chang, Si Li, and Boxin Shi
    pdf project website
  • [CVPR22d]

    Optical flow estimation for spiking camera
    Liwen Hu, Rui Zhao, Ziluo Ding, Lei Ma, Boxin Shi, Ruiqin Xiong, and Tiejun Huang
    pdf project website
  • [AAAI22]

    L-CoDe: Language-based colorization using color-object decoupled conditions
    Shuchen Weng, Hao Wu, Zheng Chang, Jiajun Tang, Si Li, and Boxin Shi
    pdf project website

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
  • [TCI21]

    Reconstructing clear image for high-speed motion scene with a retina-inspired spike camera
    Jing Zhao, Ruiqin Xiong, Jiyu Xie, Boxin Shi, Zhaofei Yu, Wen Gao, and Tiejun Huang
    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
  • [NeurIPS21]

    Learning to dehaze with polarization
    Chu Zhou, Minggui Teng, Yufei Han, Chao Xu, and Boxin Shi
    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
  • [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
  • [IJCV20]

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

  • [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
  • [TNNLS19]

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