| Soft-NMS--improving object detection with one line of code N Bodla, B Singh, R Chellappa, LS Davis Proceedings of the IEEE international conference on computer vision, 5561-5569, 2017 | 2516 | 2017 |
| An analysis of scale invariance in object detection snip B Singh, LS Davis Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 977 | 2018 |
| Sniper: Efficient multi-scale training B Singh, M Najibi, LS Davis Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 2018 | 679 | 2018 |
| A Multi-Stream Bi-Directional Recurrent Neural Network for Fine-Grained Action Detection B Singh, TK Marks, M Jones, O Tuzel, M Shao The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 | 605 | 2016 |
| Training neural networks without gradients: A scalable admm approach G Taylor, R Burmeister, Z Xu, B Singh, A Patel, T Goldstein International conference on machine learning, 2722-2731, 2016 | 335 | 2016 |
| Temporal context network for activity localization in videos X Dai, B Singh, G Zhang, LS Davis, Y Qiu Chen Proceedings of the IEEE International Conference on Computer Vision, 5793-5802, 2017 | 314 | 2017 |
| Deception Detection in Videos Z Wu, B Singh, LS Davis, VS Subrahmanian AAAI 2018, 2017 | 174 | 2017 |
| Autofocus: Efficient multi-scale inference M Najibi, B Singh, LS Davis Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 160 | 2019 |
| R-fcn-3000 at 30fps: Decoupling detection and classification B Singh, H Li, A Sharma, LS Davis Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 126 | 2018 |
| Method and System for Detecting Actions in Videos MJ Jones, T Marks, O Tuzel, B Singh US Patent 10,242,266, 2019 | 77 | 2019 |
| Layer-specific adaptive learning rates for deep networks B Singh, S De, Y Zhang, T Goldstein, G Taylor 2015 IEEE 14th international conference on machine learning and applications …, 2015 | 76 | 2015 |
| Soft sampling for robust object detection Z Wu, N Bodla, B Singh, M Najibi, R Chellappa, LS Davis BMVC 2019, 2018 | 72 | 2018 |
| Fast-at: Fast automatic thumbnail generation using deep neural networks SA Esmaeili, B Singh, LS Davis Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 54 | 2017 |
| Fa-rpn: Floating region proposals for face detection M Najibi, B Singh, LS Davis Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 52 | 2019 |
| Son of zorn's lemma: Targeted style transfer using instance-aware semantic segmentation C Castillo, S De, X Han, B Singh, AK Yadav, T Goldstein 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 50 | 2017 |
| An analysis of pre-training on object detection H Li, B Singh, M Najibi, Z Wu, LS Davis ICCV Workshop 2021, 2019 | 47 | 2019 |
| Selecting relevant web trained concepts for automated event retrieval B Singh, X Han, Z Wu, VI Morariu, LS Davis Proceedings of the IEEE International Conference on Computer Vision, 4561-4569, 2015 | 41 | 2015 |
| VRFP: On-the-fly video retrieval using web images and fast fisher vector products X Han, B Singh, VI Morariu, LS Davis IEEE Transactions on Multimedia 19 (7), 1583-1595, 2017 | 31 | 2017 |
| Ld-znet: A latent diffusion approach for text-based image segmentation K Pnvr, B Singh, P Ghosh, B Siddiquie, D Jacobs Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 28 | 2023 |
| Tan: Temporal aggregation network for dense multi-label action recognition X Dai, B Singh, JYH Ng, L Davis 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 151-160, 2019 | 26 | 2019 |
Larry DavisProfessor of Computer Science, University of MarylandPreverjeni e-poštni naslov na cs.umd.edu