| Less is more: Towards compact cnns H Zhou, JM Alvarez, F Porikli Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 348 | 2016 |
| Markov weight fields for face sketch synthesis H Zhou, Z Kuang, KYK Wong 2012 IEEE conference on computer vision and pattern recognition, 1091-1097, 2012 | 195 | 2012 |
| Deep single-image portrait relighting H Zhou, S Hadap, K Sunkavalli, DW Jacobs Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 167 | 2019 |
| Evaluating local features for day-night matching H Zhou, T Sattler, DW Jacobs Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 49 | 2016 |
| A deep cascade network for unaligned face attribute classification H Ding, H Zhou, S Zhou, R Chellappa Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 41 | 2018 |
| Sharingan: Combining synthetic and real data for unsupervised geometry estimation K PNVR, H Zhou, D Jacobs Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 38* | 2020 |
| Glosh: Global-local spherical harmonics for intrinsic image decomposition H Zhou, X Yu, DW Jacobs Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 31 | 2019 |
| Label denoising adversarial network (LDAN) for inverse lighting of faces H Zhou, J Sun, Y Yacoob, DW Jacobs Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 31* | 2018 |
| Learning image-specific parameters for interactive segmentation Z Kuang, D Schnieders, H Zhou, KYK Wong, Y Yu, B Peng 2012 IEEE Conference on Computer Vision and Pattern Recognition, 590-597, 2012 | 28 | 2012 |
| Compatibility-aware heterogeneous visual search R Duggal, H Zhou, S Yang, Y Xiong, W Xia, Z Tu, S Soatto Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 20 | 2021 |
| Residual convolutional LSTM for tweet count prediction H Wei, H Zhou, J Sankaranarayanan, S Sengupta, H Samet Companion Proceedings of the The Web Conference 2018, 1309-1316, 2018 | 19 | 2018 |
| Detecting latest local events from geotagged tweet streams H Wei, H Zhou, J Sankaranarayanan, S Sengupta, H Samet Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances …, 2018 | 14 | 2018 |
| Solving uncalibrated photometric stereo using fewer images by jointly optimizing low-rank matrix completion and integrability S Sengupta, H Zhou, W Forkel, R Basri, T Goldstein, D Jacobs Journal of Mathematical Imaging and Vision 60, 563-575, 2018 | 11 | 2018 |
| Delle: Detecting latest local events from geotagged tweets H Wei, H Zhou, J Sankaranarayanan, S Sengupta, H Samet Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Analytics …, 2019 | 9 | 2019 |
| PSS: Progressive Sample Selection for Open-World Visual Representation Learning T Cao, Y Wang, Y Xing, T Xiao, T He, Z Zhang, H Zhou, J Tighe Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 2 | 2022 |
| Towards regression-free neural networks for diverse compute platforms R Duggal, H Zhou, S Yang, J Fang, Y Xiong, W Xia Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 2 | 2022 |
| Accurate foreground segmentation without pre-learning Z Kuang, H Zhou, KYK Wong 2011 Sixth International Conference on Image and Graphics, 331-337, 2011 | 2 | 2011 |
| IMB-NAS: Neural Architecture Search for Imbalanced Datasets R Duggal, S Peng, H Zhou, DH Chau arXiv preprint arXiv:2210.00136, 2022 | | 2022 |
| Using CNNs to Understand Lighting Without Real Labeled Training Data H Zhou University of Maryland, College Park, 2019 | | 2019 |
| Supplementary Material for PSS: Progressive Sample Selection for Open-World Visual Representation Learning T Cao, Y Wang, TX YifanXing, ZZ TongHe, H Zhou, J Tighe | | |
David W. JacobsProfessor of Computer Science, University of MarylandVerified email at umiacs.umd.edu
