| 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 | 1756 | 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 | 273 | 2015 |
| Bayesian dark knowledge A Korattikara Balan, V Rathod, KP Murphy, M Welling Advances in Neural Information Processing Systems 28, 3438-3446, 2015 | 204 | 2015 |
| Deep Metric Learning via Facility Location HO Song, S Jegelka, V Rathod, K Murphy arXiv preprint arXiv:1612.01213, 2016 | 195 | 2016 |
| 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 | 127 | 2017 |
| What's cookin'? interpreting cooking videos using text, speech and vision J Malmaud, J Huang, V Rathod, N Johnston, A Rabinovich, K Murphy arXiv preprint arXiv:1503.01558, 2015 | 107 | 2015 |
| QuantMiner for mining quantitative association rules A Salleb-Aouissi, C Vrain, C Nortet, X Kong, V Rathod, D Cassard The Journal of Machine Learning Research 14 (1), 3153-3157, 2013 | 38 | 2013 |
| Total property optimization system for energy efficiency and smart buildings RN Anderson, A Boulanger, V Bhandari, E Boniberger, A Gagneja, ... US Patent App. 14/341,718, 2015 | 36 | 2015 |
| Tensorflow object detection api J Huang, V Rathod, D Chow, C Sun, M Zhu, A Fathi, Z Lu Code: github. com/tensorflow/models/tree/master/object detection, 2017 | 27 | 2017 |
| Learnable structured clustering framework for deep metric learning HO Song, S Jegelka, V Rathod, K Murphy arXiv preprint arXiv:1612.01213 1 (2), 8, 2016 | 20 | 2016 |
| RetinaTrack: Online Single Stage Joint Detection and Tracking Z Lu, V Rathod, R Votel, J Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 11 | 2020 |
| others,“ J Huang, V Rathod, C Sun, M Zhu, A Korattikara, A Fathi, I Fischer, ... Speed/accuracy trade-offs for modern convolutional object detectors,” in …, 2017 | 9 | 2017 |
| Pooling pyramid network for object detection P Jin, V Rathod, X Zhu arXiv preprint arXiv:1807.03284, 2018 | 8 | 2018 |
| Flow rendering of annotation characters VM Rathod, S Muthamilselvam, SK Shanmugasundaram US Patent 9,460,089, 2016 | 7 | 2016 |
| Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection S Beery, G Wu, V Rathod, R Votel, J Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 6 | 2020 |
| DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes M Najibi, G Lai, A Kundu, Z Lu, V Rathod, T Funkhouser, C Pantofaru, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 4 | 2020 |
| Long term temporal context for per-camera object detection S Beery, G Wu, V Rathod, R Votel, J Huang arXiv preprint arXiv:1912.03538, 2019 | 2 | 2019 |
| Improving computer vision for camera traps: Leveraging practitioner knowledge to build better models S Beery, G Wu, V Rathod, R Votel, J Huang 2020 ESA Annual Meeting (August 3-6), 0 | | |
| Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection Supplementary Material S Beery, G Wu, V Rathod, R Votel, J Huang | | |
Jonathan HuangGoogleVerified email at google.com
