| 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 | 2236 | 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 | 2050 | 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 | 1104 | 2016 |
| 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 | 604 | 2017 |
| NEIL: Extracting Visual Knowledge from Web Data X Chen, A Shrivastava, A Gupta International Conference on Computer Vision (ICCV) 2, 2013 | 555 | 2013 |
| Beyond Skip Connections: Top-Down Modulation for Object Detection A Shrivastava, R Sukthankar, J Malik, A Gupta arXiv preprint arXiv:1612.06851, 2016 | 347 | 2016 |
| Tracking emerges by colorizing videos C Vondrick, A Shrivastava, A Fathi, S Guadarrama, K Murphy Proc. ECCV, 2018 | 335 | 2018 |
| 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 | 314 | 2011 |
| 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 | 176 | 2018 |
| Contextual Priming and Feedback for Faster R-CNN. A Shrivastava, A Gupta ECCV (1), 330-348, 2016 | 170 | 2016 |
| Enriching Visual Knowledge Bases via Object Discovery and Segmentation X Chen, A Shrivastava, A Gupta Computer Vision and Pattern Recognition (CVPR), 2014 | 145 | 2014 |
| 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 | 143 | 2015 |
| Constrained semi-supervised learning using attributes and comparative attributes A Shrivastava, S Singh, A Gupta Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 114 | 2012 |
| Curriculum Manager for Source Selection in Multi-Source Domain Adaptation L Yang, Y Balaji, SN Lim, A Shrivastava ECCV 2020, 2020 | 78 | 2020 |
| 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 | 69 | 2019 |
| Detecting human-object interactions via functional generalization A Bansal, SS Rambhatla, A Shrivastava, R Chellappa Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10460 …, 2020 | 65 | 2020 |
| Building parts-based object detectors via 3D geometry A Shrivastava, A Gupta International Conference on Computer Vision (ICCV) 206, 2013 | 53 | 2013 |
| Nerv: Neural representations for videos H Chen, B He, H Wang, Y Ren, SN Lim, A Shrivastava Advances in Neural Information Processing Systems 34, 21557-21568, 2021 | 49 | 2021 |
| Generate, Segment and Refine: Towards Generic Manipulation Segmentation P Zhou, BC Chen, X Han, M Najibi, A Shrivastava, SN Lim, LS Davis | 49* | |
| Quantization Guided JPEG Artifact Correction M Ehrlich, L Davis, SN Lim, A Shrivastava ECCV 2020, arXiv: 2004.09320, 2020 | 46 | 2020 |
Abhinav GuptaAssociate Professor, Robotics Institute, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
