| Supervised contrastive learning P Khosla, P Teterwak, C Wang, A Sarna, Y Tian, P Isola, A Maschinot, ... Advances in neural information processing systems 33, 18661-18673, 2020 | 4325 | 2020 |
| Human identification using temporal information preserving gait template C Wang, J Zhang, L Wang, J Pu, X Yuan IEEE transactions on pattern analysis and machine intelligence 34 (11), 2164 …, 2011 | 356 | 2011 |
| Chrono-gait image: A novel temporal template for gait recognition C Wang, J Zhang, J Pu, X Yuan, L Wang Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 171 | 2010 |
| Robust image stitching with multiple registrations C Herrmann, C Wang, RS Bowen, E Keyder, M Krainin, C Liu, R Zabih Proceedings of the European conference on computer vision (ECCV), 53-67, 2018 | 65 | 2018 |
| Multiple HOG templates for gait recognition Y Liu, J Zhang, C Wang, L Wang Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 41 | 2012 |
| Object-centered image stitching C Herrmann, C Wang, RS Bowen, E Keyder, R Zabih Proceedings of the European Conference on Computer Vision (ECCV), 821-835, 2018 | 39 | 2018 |
| A primal-dual algorithm for higher-order multilabel markov random fields A Fix, C Wang, R Zabih Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 37 | 2014 |
| Extracting search-focused key n-grams for relevance ranking in web search C Wang, K Bi, Y Hu, H Li, G Cao Proceedings of the fifth ACM international conference on Web search and data …, 2012 | 18 | 2012 |
| Novel inter and intra prediction tools under consideration for the emerging AV1 video codec U Joshi, D Mukherjee, J Han, Y Chen, S Parker, H Su, A Chiang, Y Xu, ... Applications of Digital Image Processing XL 10396, 54-66, 2017 | 15 | 2017 |
| Relaxation-based preprocessing techniques for markov random field inference C Wang, R Zabih Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 10 | 2016 |
| Revisiting Neighborhood-based Link Prediction for Collaborative Filtering HM Fu, P Poirson, KS Lee, C Wang Companion Proceedings of the Web Conference 2022, 1009-1018, 2022 | 8 | 2022 |
| Diversified motion using multiple global motion models D Mukherjee, E Keyder, M Covell, C Wang, S Parker, R Zabih US Patent 10,681,374, 2020 | 7 | 2020 |
| Nirvana: Neural implicit representations of videos with adaptive networks and autoregressive patch-wise modeling SR Maiya, S Girish, M Ehrlich, H Wang, KS Lee, P Poirson, P Wu, C Wang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
| GOCA: Guided online cluster assignment for self-supervised video representation learning H Coskun, A Zareian, JL Moore, F Tombari, C Wang European Conference on Computer Vision, 1-22, 2022 | 4 | 2022 |
| Supervised contrastive learning with multiple positive examples D Krishnan, P Khosla, P Teterwak, AY Sarna, AJ Maschinot, C Liu, ... US Patent 11,347,975, 2022 | 2 | 2022 |
| A discriminative view of MRF pre-processing algorithms C Wang, C Herrmann, R Zabih Proceedings of IEEE International Conference on Computer Vision, 5504-5513, 2017 | 1 | 2017 |
| Supervised Contrastive Learning with Multiple Positive Examples D Krishnan, P Khosla, P Teterwak, AY Sarna, AJ Maschinot, C Liu, ... US Patent App. 17/920,623, 2023 | | 2023 |
| Diversified motion using multiple global motion models D Mukherjee, E Keyder, M Covell, C Wang, S Parker, R Zabih US Patent 11,115,678, 2021 | | 2021 |
| Automated image retargeting at scale using a generative adversarial network J Wang, R Zabih, C Wang, RS Bowen, M Wilber | | 2019 |
| Persistency algorithms for efficient inference in Markov Random Fields C Wang Cornell University, 2018 | | 2018 |
