| Training region-based object detectors with online hard example mining A Shrivastava, A Gupta, R Girshick IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 | 1236 | 2016 |
| Revisiting unreasonable effectiveness of data in deep learning era C Sun, A Shrivastava, S Singh, A Gupta Proceedings of the IEEE international conference on computer vision, 843-852, 2017 | 707 | 2017 |
| Cross-stitch Networks for Multi-task Learning I Misra, A Shrivastava, A Gupta, M Hebert IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 | 536 | 2016 |
| NEIL: Extracting Visual Knowledge from Web Data X Chen, A Shrivastava, A Gupta International Conference on Computer Vision (ICCV) 2, 2013 | 439 | 2013 |
| A-fast-rcnn: Hard positive generation via adversary for object detection X Wang, A Shrivastava, A Gupta Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 344 | 2017 |
| Data-driven visual similarity for cross-domain image matching A Shrivastava, T Malisiewicz, A Gupta, AA Efros ACM Transaction of Graphics (TOG)(Proceedings of ACM SIGGRAPH ASIA) 30 (6), 2011 | 272 | 2011 |
| Beyond Skip Connections: Top-Down Modulation for Object Detection A Shrivastava, R Sukthankar, J Malik, A Gupta arXiv preprint arXiv:1612.06851, 2016 | 225 | 2016 |
| Tracking emerges by colorizing videos C Vondrick, A Shrivastava, A Fathi, S Guadarrama, K Murphy Proc. ECCV, 2018 | 131 | 2018 |
| Enriching Visual Knowledge Bases via Object Discovery and Segmentation X Chen, A Shrivastava, A Gupta Computer Vision and Pattern Recognition (CVPR), 2014 | 116 | 2014 |
| Contextual Priming and Feedback for Faster R-CNN. A Shrivastava, A Gupta ECCV (1), 330-348, 2016 | 103 | 2016 |
| Watch and Learn: Semi-Supervised Learning of Object Detectors from Videos I Misra, A Shrivastava, M Hebert IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 | 97 | 2015 |
| Constrained semi-supervised learning using attributes and comparative attributes A Shrivastava, S Singh, A Gupta European Conference on Computer Vision, 369-383, 2012 | 91 | 2012 |
| Actor-centric relation network C Sun, A Shrivastava, C Vondrick, K Murphy, R Sukthankar, C Schmid Proceedings of the European Conference on Computer Vision (ECCV), 318-334, 2018 | 72 | 2018 |
| Building parts-based object detectors via 3D geometry A Shrivastava, A Gupta International Conference on Computer Vision (ICCV) 206, 2013 | 49 | 2013 |
| Relational Action Forecasting C Sun, A Shrivastava, C Vondrick, R Sukthankar, K Murphy, C Schmid Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 36 | 2019 |
| Data-driven Exemplar Model Selection I Misra, A Shrivastava, M Hebert Winter Conference on Applications of Computer Vision, 2014 | 24 | 2014 |
| Detecting Human-Object Interactions via Functional Generalization. A Bansal, SS Rambhatla, A Shrivastava, R Chellappa AAAI, 10460-10469, 2020 | 17 | 2020 |
| Render4completion: Synthesizing multi-view depth maps for 3d shape completion T Hu, Z Han, A Shrivastava, M Zwicker Proceedings of the IEEE International Conference on Computer Vision …, 2019 | 16 | 2019 |
| EvalNorm: Estimating Batch Normalization Statistics for Evaluation S Singh, A Shrivastava Proceedings of the IEEE International Conference on Computer Vision, 3633-3641, 2019 | 16 | 2019 |
| Exemplar-SVMs for Visual Object Detection, Label Transfer and Image Retrieval T Malisiewicz, A Shrivastava, A Gupta, AA Efros International Conference of Machine Learning (ICML), 2012 | 13 | 2012 |
Abhinav GuptaAssociate Professor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
