Caffe: Convolutional architecture for fast feature embedding Y Jia, E Shelhamer, J Donahue, S Karayev, J Long, R Girshick, ... Proceedings of the 22nd ACM international conference on Multimedia, 675-678, 2014 | 18180 | 2014 |
Long-term recurrent convolutional networks for visual recognition and description J Donahue, L Anne Hendricks, S Guadarrama, M Rohrbach, ... Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 7647 | 2015 |
Speed/accuracy trade-offs for modern convolutional object detectors J Huang, V Rathod, C Sun, M Zhu, A Korattikara, A Fathi, I Fischer, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 3424 | 2017 |
Youtube2text: Recognizing and describing arbitrary activities using semantic hierarchies and zero-shot recognition S Guadarrama, N Krishnamoorthy, G Malkarnenkar, S Venugopalan, ... Proceedings of the IEEE international conference on computer vision, 2712-2719, 2013 | 600 | 2013 |
Improved image captioning via policy gradient optimization of spider S Liu, Z Zhu, N Ye, S Guadarrama, K Murphy Proceedings of the IEEE international conference on computer vision, 873-881, 2017 | 576* | 2017 |
Im2Calories: towards an automated mobile vision food diary A Meyers, N Johnston, V Rathod, A Korattikara, A Gorban, N Silberman, ... Proceedings of the IEEE international conference on computer vision, 1233-1241, 2015 | 538 | 2015 |
Tracking emerges by colorizing videos C Vondrick, A Shrivastava, A Fathi, S Guadarrama, K Murphy Proceedings of the European conference on computer vision (ECCV), 391-408, 2018 | 450 | 2018 |
LSDA: Large scale detection through adaptation J Hoffman, S Guadarrama, ES Tzeng, R Hu, J Donahue, R Girshick, ... Advances in neural information processing systems 27, 2014 | 378 | 2014 |
Generating Natural-Language Video Descriptions Using Text-Mined Knowledge N Krishnamoorthy, G Malkarnenkar, R Mooney, K Saenko, S Guadarrama NAACL HLT 2013, 10, 2013 | 295 | 2013 |
What computing with words means to me [discussion forum] JM Mendel, LA Zadeh, E Trillas, R Yager, J Lawry, H Hagras, ... IEEE computational intelligence magazine 5 (1), 20-26, 2010 | 268 | 2010 |
Integrating language and vision to generate natural language descriptions of videos in the wild J Thomason, S Venugopalan, S Guadarrama, K Saenko, R Mooney Proceedings of COLING 2014, the 25th International Conference on …, 2014 | 264 | 2014 |
Semantic instance segmentation via deep metric learning A Fathi, Z Wojna, V Rathod, P Wang, HO Song, S Guadarrama, ... arXiv preprint arXiv:1703.10277, 2017 | 237 | 2017 |
Grounding spatial relations for human-robot interaction S Guadarrama, L Riano, D Golland, D Go, Y Jia, D Klein, P Abbeel, ... 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013 | 181 | 2013 |
Multi-game decision transformers KH Lee, O Nachum, MS Yang, L Lee, D Freeman, S Guadarrama, ... Advances in Neural Information Processing Systems 35, 27921-27936, 2022 | 179 | 2022 |
TF-Agents: A library for reinforcement learning in tensorflow S Guadarrama, A Korattikara, O Ramirez, P Castro, E Holly, S Fishman, ... GitHub repository, 2018 | 171 | 2018 |
The devil is in the decoder: Classification, regression and gans Z Wojna, V Ferrari, S Guadarrama, N Silberman, LC Chen, A Fathi, ... International Journal of Computer Vision 127, 1694-1706, 2019 | 160 | 2019 |
Fuzzy Prolog: A new approach using soft constraints propagation S Guadarrama, S Munoz, C Vaucheret Fuzzy Sets and Systems 144 (1), 127-150, 2004 | 141 | 2004 |
From language to goals: Inverse reinforcement learning for vision-based instruction following J Fu, A Korattikara, S Levine, S Guadarrama arXiv preprint arXiv:1902.07742, 2019 | 130 | 2019 |
Pixcolor: Pixel recursive colorization S Guadarrama, R Dahl, D Bieber, M Norouzi, J Shlens, K Murphy arXiv preprint arXiv:1705.07208, 2017 | 121 | 2017 |
Cross-modal adaptation for RGB-D detection J Hoffman, S Gupta, J Leong, S Guadarrama, T Darrell 2016 IEEE international conference on robotics and automation (ICRA), 5032-5039, 2016 | 108 | 2016 |