Microsoft coco captions: Data collection and evaluation server X Chen, H Fang, TY Lin, R Vedantam, S Gupta, P Dollár, CL Zitnick arXiv preprint arXiv:1504.00325, 2015 | 2475 | 2015 |
Learning rich features from RGB-D images for object detection and segmentation S Gupta, R Girshick, P Arbeláez, J Malik Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 1931 | 2014 |
From captions to visual concepts and back H Fang*, S Gupta*, F Iandola*, RK Srivastava*, L Deng, P Dollár, J Gao, ... Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 1618 | 2015 |
Cognitive mapping and planning for visual navigation S Gupta, J Davidson, S Levine, R Sukthankar, J Malik Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017 | 793 | 2017 |
Perceptual organization and recognition of indoor scenes from RGB-D images S Gupta, P Arbelaez, J Malik Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 564-571, 2013 | 732 | 2013 |
On evaluation of embodied navigation agents P Anderson, A Chang, DS Chaplot, A Dosovitskiy, S Gupta, V Koltun, ... arXiv preprint arXiv:1807.06757, 2018 | 684 | 2018 |
Cross modal distillation for supervision transfer S Gupta, J Hoffman, J Malik Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 605 | 2016 |
Learning to explore using active neural slam DS Chaplot, D Gandhi, S Gupta, A Gupta, R Salakhutdinov arXiv preprint arXiv:2004.05155, 2020 | 508 | 2020 |
Visual semantic role labeling S Gupta, J Malik arXiv preprint arXiv:1505.04474, 2015 | 434 | 2015 |
Semantic segmentation using regions and parts P Arbeláez, B Hariharan, C Gu, S Gupta, L Bourdev, J Malik Proceedings of the IEEE conference on computer vision and pattern recognition, 2012 | 367 | 2012 |
Aligning 3D models to RGB-D images of cluttered scenes S Gupta, P Arbeláez, R Girshick, J Malik Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 342* | 2015 |
Language models for image captioning: The quirks and what works J Devlin, H Cheng, H Fang, S Gupta, L Deng, X He, G Zweig, M Mitchell arXiv preprint arXiv:1505.01809, 2015 | 336 | 2015 |
Indoor scene understanding with RGB-D images: Bottom-up segmentation, object detection and semantic segmentation S Gupta, P Arbeláez, R Girshick, J Malik International Journal of Computer Vision 112 (2), 133-149, 2015 | 291 | 2015 |
Neural topological slam for visual navigation DS Chaplot, R Salakhutdinov, A Gupta, S Gupta Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 264 | 2020 |
Learning with side information through modality hallucination J Hoffman, S Gupta, T Darrell Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 259 | 2016 |
Learning exploration policies for navigation T Chen, S Gupta, A Gupta arXiv preprint arXiv:1903.01959, 2019 | 236 | 2019 |
Exploring nearest neighbor approaches for image captioning J Devlin, S Gupta, R Girshick, M Mitchell, CL Zitnick arXiv preprint arXiv:1505.04467, 2015 | 222 | 2015 |
Segmenting unknown 3d objects from real depth images using mask r-cnn trained on synthetic data M Danielczuk, M Matl, S Gupta, A Li, A Lee, J Mahler, K Goldberg 2019 International Conference on Robotics and Automation (ICRA), 7283-7290, 2019 | 207 | 2019 |
Combining optimal control and learning for visual navigation in novel environments S Bansal, V Tolani, S Gupta, J Malik, C Tomlin Conference on Robot Learning, 420-429, 2019 | 180 | 2019 |
A data driven approach for algebraic loop invariants R Sharma, S Gupta, B Hariharan, A Aiken, P Liang, AV Nori Programming Languages and Systems: 22nd European Symposium on Programming …, 2013 | 173 | 2013 |