| 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 | 3573 | 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 | 567 | 2015 |
| Deep Metric Learning via Facility Location HO Song, S Jegelka, V Rathod, K Murphy arXiv preprint arXiv:1612.01213, 2016 | 355 | 2016 |
| Bayesian dark knowledge A Korattikara, V Rathod, K Murphy, M Welling arXiv preprint arXiv:1506.04416, 2015 | 333 | 2015 |
| 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 | 259 | 2020 |
| 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 | 242 | 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 | 190 | 2015 |
| 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 | 149 | 2020 |
| 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 | 103 | 2015 |
| 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 | 66 | 2020 |
| 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 | 53 | 2013 |
| 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 | 50 | 2017 |
| 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 | 44 | 2017 |
| The auto arborist dataset: a large-scale benchmark for multiview urban forest monitoring under domain shift S Beery, G Wu, T Edwards, F Pavetic, B Majewski, S Mukherjee, S Chan, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 38 | 2022 |
| 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 | 33 | 2016 |
| The surprising impact of mask-head architecture on novel class segmentation V Birodkar, Z Lu, S Li, V Rathod, J Huang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 29 | 2021 |
| Pooling pyramid network for object detection P Jin, V Rathod, X Zhu arXiv preprint arXiv:1807.03284, 2018 | 19 | 2018 |
| Apple intelligence foundation language models T Gunter, Z Wang, C Wang, R Pang, A Narayanan, A Zhang, B Zhang, ... arXiv preprint arXiv:2407.21075, 2024 | 16 | 2024 |
| Flow rendering of annotation characters VM Rathod, S Muthamilselvam, SK Shanmugasundaram US Patent 9,460,089, 2016 | 8 | 2016 |
| LONG TERM TEMPORAL CONTEXT FOR PER CAMERA OBJECT DETECTION S Beery, G Wu, V Rathod, R Votel, J Huang Where the Wild Things Are: Computer Vision for Global-Scale Biodiversity …, 1844 | 6 | 1844 |
Jonathan HuangScaled FoundationsBestätigte E-Mail-Adresse bei scaledfoundations.ai
