| Protecting intellectual property of deep neural networks with watermarking J Zhang, Z Gu, J Jang, H Wu, MP Stoecklin, H Huang, I Molloy Proceedings of the 2018 on Asia conference on computer and communications …, 2018 | 547 | 2018 |
| Fashion IQ: A new dataset towards retrieving images by natural language feedback H Wu, Y Gao, X Guo, Z Al-Halah, S Rennie, K Grauman, R Feris Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 201 | 2021 |
| Dialog-based interactive image retrieval X Guo, H Wu, Y Cheng, S Rennie, G Tesauro, RS Feris Neural Information Processing Systems (NeurIPS 2018), 2018 | 199 | 2018 |
| S3pool: Pooling with stochastic spatial sampling S Zhai, H Wu, A Kumar, Y Cheng, Y Lu, Z Zhang, R Feris IEEE Conference on Computer Vision and Pattern Recognition, 4970-4978, 2017 | 93 | 2017 |
| Learning to make better mistakes: Semantics-aware visual food recognition H Wu, M Merler, R Uceda-Sosa, JR Smith Proceedings of the 24th ACM international conference on Multimedia, 172-176, 2016 | 91 | 2016 |
| The fashion iq dataset: Retrieving images by combining side information and relative natural language feedback X Guo, H Wu, Y Gao, S Rennie, R Feris arXiv preprint arXiv:1905.12794 1 (2), 7, 2019 | 66 | 2019 |
| Image classification utilizing semantic relationships in a classification hierarchy M Merler, JR Smith, RA Uceda-Sosa, H Wu US Patent 9,928,448, 2018 | 55 | 2018 |
| Separating skills and concepts for novel visual question answering S Whitehead, H Wu, H Ji, R Feris, K Saenko Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 43 | 2021 |
| Snap, Eat, RepEat: A food recognition engine for dietary logging M Merler, H Wu, R Uceda-Sosa, QB Nguyen, JR Smith Proceedings of the 2nd international workshop on multimedia assisted dietary …, 2016 | 43 | 2016 |
| Simvqa: Exploring simulated environments for visual question answering P Cascante-Bonilla, H Wu, L Wang, RS Feris, V Ordonez Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 36 | 2022 |
| Echocardiogram view classification using low-level features H Wu, DM Bowers, TT Huynh, R Souvenir 2013 IEEE 10th International Symposium on Biomedical Imaging, 752-755, 2013 | 32 | 2013 |
| Drill-down: Interactive retrieval of complex scenes using natural language queries F Tan, P Cascante-Bonilla, X Guo, H Wu, S Feng, V Ordonez Neural Information Processing Systems (NeurIPS 2019), 2019 | 30 | 2019 |
| Images+ weather: Collection, validation, and refinement M Islam, N Jacobs, H Wu, R Souvenir IEEE Conference on Computer Vision and Pattern Recognition Workshop on …, 2013 | 27 | 2013 |
| Exploring the geo-dependence of human face appearance MT Islam, S Workman, H Wu, N Jacobs, R Souvenir IEEE Winter Conference on Applications of Computer Vision, 1042-1049, 2014 | 16 | 2014 |
| Learning from lexical perturbations for consistent visual question answering S Whitehead, H Wu, YR Fung, H Ji, R Feris, K Saenko arXiv preprint arXiv:2011.13406, 2020 | 14 | 2020 |
| Echocardiogram enhancement using supervised manifold denoising H Wu, TT Huynh, R Souvenir Medical image analysis 24 (1), 41-51, 2015 | 14 | 2015 |
| Biomedical video denoising using supervised manifold learning H Wu, DM Bowers, TT Huynh, R Souvenir 2013 IEEE 10th International Symposium on Biomedical Imaging, 1244-1247, 2013 | 12 | 2013 |
| Nastransfer: Analyzing architecture transferability in large scale neural architecture search R Panda, M Merler, MS Jaiswal, H Wu, K Ramakrishnan, U Finkler, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 9294-9302, 2021 | 10 | 2021 |
| Distributed learning of deep feature embeddings for visual recognition tasks B Bhattacharjee, ML Hill, H Wu, PS Chandakkar, JR Smith, MN Wegman IBM Journal of Research and Development 61 (4/5), 4: 1-4: 8, 2017 | 7 | 2017 |
| Motion factorization for echocardiogram classification H Wu, TT Huynh, R Souvenir 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 445-448, 2014 | 7 | 2014 |
Rogerio FerisResearch Manager, MIT-IBM Watson AI Lab在 us.ibm.com 的电子邮件经过验证
