| Automatic Photo Adjustment Using Deep Neural Networks Z Yan, H Zhang, B Wang, S Paris, Y Yu ACM Transactions on Graphics (TOG), 2015, 2015 | 242 | 2015 |
| Fc4: Fully convolutional color constancy with confidence-weighted pooling Y Hu, B Wang, S Lin Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 185 | 2017 |
| Exposure: A white-box photo post-processing framework Y Hu, H He, C Xu, B Wang, S Lin ACM Transactions on Graphics (TOG) 37 (2), 1-17, 2018 | 177 | 2018 |
| Data-driven image color theme enhancement B Wang, Y Yu, TT Wong, C Chen, YQ Xu ACM Transactions on Graphics (TOG) 29 (6), 1-10, 2010 | 168 | 2010 |
| Unsupervised extraction of video highlights via robust recurrent auto-encoders H Yang, B Wang, S Lin, D Wipf, M Guo, B Guo Proceedings of the IEEE international conference on computer vision, 4633-4641, 2015 | 159 | 2015 |
| Maximal Sparsity with Deep Networks? B Xin, Y Wang, W Gao, B Wang, D Wipf Neural Information Processing Systems (NIPS), 4340--4348, 2016 | 152 | 2016 |
| Max-margin multiple-instance dictionary learning X Wang, B Wang, X Bai, W Liu, Z Tu International conference on machine learning, 846-854, 2013 | 132 | 2013 |
| Harvesting discriminative meta objects with deep CNN features for scene classification R Wu, B Wang, W Wang, Y Yu Proceedings of the IEEE International Conference on Computer Vision, 1287-1295, 2015 | 120 | 2015 |
| Action recognition with actons J Zhu, B Wang, X Yang, W Zhang, Z Tu Proceedings of the IEEE International Conference on Computer Vision, 3559-3566, 2013 | 117 | 2013 |
| Example-based image color and tone style enhancement B Wang, Y Yu, YQ Xu ACM Transactions on Graphics (TOG) 30 (4), 1-12, 2011 | 104 | 2011 |
| Weakly Supervised Metric Learning for Traffic Sign Recognition in a LIDAR-Equipped Vehicle M Tan, B Wang, Z Wu, J Wang, G Pan Intelligent Transportation Systems, IEEE Transactions on , 99 (99), pp.1-13, 2016 | 75 | 2016 |
| Robust Object Recognition via Weakly Supervised Metric and Template Learning T Min, H Zhefang, W Baoyuan, Z Jieyi, W Yuming Neurocomputing, 2015 | 37 | 2015 |
| Joint face detection and facial motion retargeting for multiple faces B Chaudhuri, N Vesdapunt, B Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 31 | 2019 |
| Personalized face modeling for improved face reconstruction and motion retargeting B Chaudhuri, N Vesdapunt, L Shapiro, B Wang European Conference on Computer Vision, 142-160, 2020 | 24 | 2020 |
| Reda: reinforced differentiable attribute for 3d face reconstruction W Zhu, HT Wu, Z Chen, N Vesdapunt, B Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 21 | 2020 |
| Animating face using disentangled audio representations G Mittal, B Wang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 17 | 2020 |
| Personalized cinemagraphs using semantic understanding and collaborative learning TH Oh, K Joo, N Joshi, B Wang, I So Kweon, S Bing Kang Proceedings of the IEEE International Conference on Computer Vision, 5160-5169, 2017 | 15 | 2017 |
| Real-time semantic-aware camera exposure control B Wang, SB Kang US Patent 10,530,991, 2020 | 11 | 2020 |
| Personalized exposure control using adaptive metering and reinforcement learning H Yang, B Wang, N Vesdapunt, M Guo, SB Kang IEEE transactions on visualization and computer graphics 25 (10), 2953-2968, 2018 | 11 | 2018 |
| Automatic generation of semantic-based cinemagraphs T Oh, SB Kang, NS Joshi, B Wang US Patent App. 15/265,461, 2018 | 11 | 2018 |
