---
title: "Ross Girshick — all works — Elamur Research"
description: "All 126 works of Ross Girshick in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/ross-girshick/works/"
---
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# Ross Girshick — all works

126 works · page 1 of 2 · 1–100 · [← Ross Girshick](https://md.research.elamur.ai/free/en/authors/ross-girshick/)

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1. **[Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks](https://md.research.elamur.ai/free/en/papers/ren-2015-faster-r-cnn-towards-real/) [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-pattern-analysis-and-machine-intelligence/)**Shaoqing Ren, Kaiming He, Ross Girshick, et al.*2015 · 65,090 citations*
2. **[You Only Look Once: Unified, Real-Time Object Detection ↗](https://doi.org/10.1109/cvpr.2016.91) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Joseph Redmon et al.*2016 · 51,243 citations*
3. **[Rich feature hierarchies for accurate object detection and semantic segmentation](https://md.research.elamur.ai/free/en/papers/girshick-2013-rich-feature-hierarchies-accurate-object/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Ross Girshick, Jeff Donahue, Trevor Darrell, et al.*2013 · 31,930 citations*
4. **[Mask R-CNN ↗](https://doi.org/10.1109/iccv.2017.322) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Kaiming He et al.*2017 · 29,617 citations*
5. **[Fast R-CNN ↗](https://doi.org/10.1109/iccv.2015.169) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Ross Girshick*2015 · 28,469 citations*
6. **[Momentum Contrast for Unsupervised Visual Representation Learning](https://md.research.elamur.ai/free/en/papers/he-2019-momentum-contrast-unsupervised-visual-representation/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Kaiming He, Haoqi Fan, Yuxin Wu, et al.*2019 · 13,302 citations*
7. **[Aggregated Residual Transformations for Deep Neural Networks ↗](https://doi.org/10.1109/cvpr.2017.634) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Saining Xie et al.*2017 · 12,133 citations*
8. **[Non-local Neural Networks ↗](https://doi.org/10.1109/cvpr.2018.00813) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Xiaolong Wang et al.*2018 · 11,175 citations*
9. **[Caffe ↗](https://doi.org/10.1145/2647868.2654889) ACM International Conference on Multimedia (ACM MM) · no summary yet**Yangqing Jia et al.*2014 · 10,940 citations*
10. **[Object Detection with Discriminatively Trained Part-Based Models ↗](https://doi.org/10.1109/tpami.2009.167) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Pedro F. Felzenszwalb et al.*9,929 citations*
11. [**Microsoft COCO: Common Objects in Context arXiv:1405.0312**Tsung-Yi Lin, Michael Maire, Serge Belongie, et al.*2014 · 5,131 citations*](https://md.research.elamur.ai/free/en/papers/lin-2014-microsoft-coco-common-objects-context/)
12. [**Caffe: Convolutional Architecture for Fast Feature Embedding arXiv:1408.5093**Yangqing Jia, Evan Shelhamer, Jeff Donahue, et al.*2014 · 4,209 citations*](https://md.research.elamur.ai/free/en/papers/jia-2014-caffe-convolutional-architecture-fast-feature/)
13. **[Region-Based Convolutional Networks for Accurate Object Detection and Segmentation ↗](https://doi.org/10.1109/tpami.2015.2437384) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Ross Girshick et al.*2015 · 2,926 citations*
14. **[Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour ↗](https://arxiv.org/abs/1706.02677) arXiv:1706.02677 · no summary yet**Priya Goyal et al.*2017 · 2,756 citations*
15. **[Training Region-Based Object Detectors with Online Hard Example Mining ↗](https://doi.org/10.1109/cvpr.2016.89) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Abhinav Shrivastava, Abhinav Gupta, Ross Girshick*2016 · 2,665 citations*
16. **[Improved Baselines with Momentum Contrastive Learning ↗](https://arxiv.org/abs/2003.04297) arXiv (Cornell University) · no summary yet**Xinlei Chen et al.*2020 · 2,098 citations*
17. **[Designing Network Design Spaces ↗](https://arxiv.org/abs/2003.13678) arXiv:2003.13678 · no summary yet**Ilija Radosavovic et al.*2020 · 2,040 citations*
18. [**Focal Loss for Dense Object Detection arXiv:1708.02002**Tsung-Yi Lin, Priya Goyal, Ross Girshick, et al.*2017 · 1,995 citations*](https://md.research.elamur.ai/free/en/papers/lin-2017-focal-loss-dense-object-detection/)
19. **[Panoptic Segmentation ↗](https://doi.org/10.1109/cvpr.2019.00963) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Alexander Kirillov et al.*2019 · 1,584 citations*
20. **[Hypercolumns for object segmentation and fine-grained localization ↗](https://doi.org/10.1109/cvpr.2015.7298642) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Bharath Hariharan et al.*2015 · 1,539 citations*
21. **[Learning Rich Features from RGB-D Images for Object Detection and Segmentation ↗](https://doi.org/10.1007/978-3-319-10584-0_23) Lecture notes in computer science · no summary yet**Saurabh Gupta et al.*2014 · 1,490 citations*
22. **[Panoptic Feature Pyramid Networks ↗](https://doi.org/10.1109/cvpr.2019.00656) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Alexander Kirillov et al.*2019 · 1,406 citations*
23. **[LVIS: A Dataset for Large Vocabulary Instance Segmentation ↗](https://doi.org/10.1109/cvpr.2019.00550) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Agrim Gupta, Piotr Dollár, Ross Girshick*2019 · 1,333 citations*
24. **[Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks ↗](https://doi.org/10.1109/cvpr.2016.314) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Sean Bell et al.*2016 · 1,327 citations*
25. **[Exploring the Limits of Weakly Supervised Pretraining ↗](https://doi.org/10.1007/978-3-030-01216-8_12) Lecture notes in computer science · no summary yet**Dhruv Kumar Mahajan et al.*2018 · 1,295 citations*
26. **[Part-Based R-CNNs for Fine-Grained Category Detection ↗](https://doi.org/10.1007/978-3-319-10590-1_54) Lecture notes in computer science · no summary yet**Ning Zhang et al.*2014 · 1,168 citations*
27. **[PointRend: Image Segmentation As Rendering ↗](https://doi.org/10.1109/cvpr42600.2020.00982) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Alexander Kirillov et al.*2020 · 1,157 citations*
28. **[Simultaneous Detection and Segmentation ↗](https://doi.org/10.1007/978-3-319-10584-0_20) Lecture notes in computer science · no summary yet**Bharath Hariharan et al.*2014 · 1,128 citations*
29. **[Rethinking ImageNet Pre-Training ↗](https://doi.org/10.1109/iccv.2019.00502) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Kaiming He, Ross Girshick, Piotr Dollár*2019 · 1,089 citations*
30. [**Segment Anything arXiv:2304.02643**Alexander Kirillov, Eric Mintun, Nikhila Ravi, et al.*2023 · 960 citations*](https://md.research.elamur.ai/free/en/papers/kirillov-2023-segment-anything/)
31. **[Cascade object detection with deformable part models ↗](https://doi.org/10.1109/cvpr.2010.5539906) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Pedro F. Felzenszwalb, Ross Girshick, David McAllester*2010 · 924 citations*
32. **[Exploring Plain Vision Transformer Backbones for Object Detection ↗](https://doi.org/10.1007/978-3-031-20077-9_17) Lecture notes in computer science · no summary yet**Yanghao Li et al.*2022 · 872 citations*
33. **[Low-Shot Visual Recognition by Shrinking and Hallucinating Features ↗](https://doi.org/10.1109/iccv.2017.328) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Bharath Hariharan, Ross Girshick*2017 · 820 citations*
34. **[Low-Shot Learning from Imaginary Data ↗](https://doi.org/10.1109/cvpr.2018.00760) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yu-Xiong Wang et al.*2018 · 771 citations*
35. **[Feature Pyramid Networks for Object Detection ↗](https://arxiv.org/abs/1612.03144) arXiv:1612.03144 · no summary yet**Tsung-Yi Lin et al.*2016 · 767 citations*
36. **[DenseNet: Implementing Efficient ConvNet Descriptor Pyramids ↗](https://arxiv.org/abs/1404.1869) arXiv (Cornell University) · no summary yet**Forrest Iandola et al.*2014 · 646 citations*
37. **[Detecting and Recognizing Human-Object Interactions ↗](https://doi.org/10.1109/cvpr.2018.00872) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Georgia Gkioxari et al.*2018 · 612 citations*
38. [**Masked Autoencoders Are Scalable Vision Learners arXiv:2111.06377**Kaiming He, Xinlei Chen, Saining Xie, et al.*2021 · 596 citations*](https://md.research.elamur.ai/free/en/papers/he-2021-masked-autoencoders-scalable-vision-learners/)
39. **[Efficient Human Pose Estimation from Single Depth Images ↗](https://doi.org/10.1109/tpami.2012.241) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Jamie Shotton et al.*2012 · 582 citations*
40. **[Inferring and Executing Programs for Visual Reasoning ↗](https://arxiv.org/abs/1705.03633) arXiv:1705.03633 · no summary yet**Justin Johnson et al.*2017 · 557 citations*
41. **[Boundary IoU: Improving Object-Centric Image Segmentation Evaluation ↗](https://doi.org/10.1109/cvpr46437.2021.01508) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Bowen Cheng et al.*2021 · 507 citations*
42. **[Long-Term Feature Banks for Detailed Video Understanding ↗](https://doi.org/10.1109/cvpr.2019.00037) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Chao-Yuan Wu et al.*2019 · 476 citations*
43. [**CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning arXiv:1612.06890**Justin Johnson, Bharath Hariharan, Laurens van der Maaten, et al.*2016 · 464 citations*](https://md.research.elamur.ai/free/en/papers/johnson-2016-clevr-diagnostic-dataset-compositional-language/)
44. **[Object Detection Networks on Convolutional Feature Maps ↗](https://doi.org/10.1109/tpami.2016.2601099) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Shaoqing Ren et al.*2016 · 462 citations*
45. **[Learning Features by Watching Objects Move ↗](https://doi.org/10.1109/cvpr.2017.638) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Deepak Pathak et al.*2017 · 457 citations*
46. **[Data Distillation: Towards Omni-Supervised Learning ↗](https://doi.org/10.1109/cvpr.2018.00433) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Ilija Radosavovic et al.*2018 · 441 citations*
47. **[Analyzing the Performance of Multilayer Neural Networks for Object Recognition ↗](https://doi.org/10.1007/978-3-319-10584-0_22) Lecture notes in computer science · no summary yet**Pulkit Agrawal, Ross Girshick, Jitendra Malik*2014 · 434 citations*
48. **[SAM 2: Segment Anything in Images and Videos ↗](https://arxiv.org/abs/2408.00714) arXiv (Cornell University) · no summary yet**Nikhila Ravi et al.*2024 · 426 citations*
49. **[Deformable part models are convolutional neural networks ↗](https://doi.org/10.1109/cvpr.2015.7298641) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Ross Girshick et al.*2015 · 423 citations*
50. **[Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks ↗](https://doi.org/10.1007/978-3-319-46493-0_51) Lecture notes in computer science · no summary yet**Junyuan Xie, Ross Girshick, Ali Farhadi*2016 · 419 citations*
51. **[TensorMask: A Foundation for Dense Object Segmentation ↗](https://doi.org/10.1109/iccv.2019.00215) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Xinlei Chen et al.*2019 · 389 citations*
52. **[Contextual Action Recognition with R* CNN ↗](https://doi.org/10.1109/iccv.2015.129) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Georgia Gkioxari, Ross Girshick, Jitendra Malik*2015 · 368 citations*
53. **[Early Convolutions Help Transformers See Better ↗](https://arxiv.org/abs/2106.14881) arXiv (Cornell University) · no summary yet**Tete Xiao et al.*2021 · 366 citations*
54. **[Exploring Randomly Wired Neural Networks for Image Recognition ↗](https://doi.org/10.1109/iccv.2019.00137) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Saining Xie et al.*2019 · 365 citations*
55. **[Visual Storytelling](https://md.research.elamur.ai/free/en/papers/huang-2016-visual-storytelling/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ting-Hao Kenneth Huang, Francis Ferraro, Nasrin Mostafazadeh, et al.*2016 · 356 citations*
56. **[Efficient regression of general-activity human poses from depth images ↗](https://doi.org/10.1109/iccv.2011.6126270) International Conference on Computer Vision · no summary yet**Ross Girshick et al.*2011 · 348 citations*
57. **[Learning to Segment Every Thing ↗](https://doi.org/10.1109/cvpr.2018.00445) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Ronghang Hu et al.*2018 · 293 citations*
58. **[Indoor Scene Understanding with RGB-D Images: Bottom-up Segmentation, Object Detection and Semantic Segmentation ↗](https://doi.org/10.1007/s11263-014-0777-6) International Journal of Computer Vision · no summary yet**Saurabh Gupta et al.*2014 · 249 citations*
59. **[Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels ↗](https://doi.org/10.1109/cvpr.2016.320) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Ishan Misra et al.*2016 · 231 citations*
60. **[A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning ↗](https://doi.org/10.1109/cvpr46437.2021.00331) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Christoph Feichtenhofer et al.*2021 · 226 citations*
61. **[Unsupervised Deep Embedding for Clustering Analysis ↗](https://arxiv.org/abs/1511.06335) ICML 2016 · no summary yet**Junyuan Xie, Ross Girshick, Ali Farhadi*2016 · 222 citations*
62. **[Aligning 3D models to RGB-D images of cluttered scenes ↗](https://doi.org/10.1109/cvpr.2015.7299105) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Saurabh Gupta et al.*2015 · 211 citations*
63. **[Object Detection with Grammar Models ↗](https://openalex.org/W2153185908) no summary yet**Ross Girshick, Pedro F. Felzenszwalb, David McAllester*2011 · 211 citations*
64. **[LSDA: Large Scale Detection Through Adaptation ↗](https://arxiv.org/abs/1407.5035) arXiv (Cornell University) · no summary yet**Judy Hoffman et al.*2014 · 185 citations*
65. **[Exploring Nearest Neighbor Approaches for Image Captioning ↗](https://arxiv.org/abs/1505.04467) arXiv (Cornell University) · no summary yet**Jacob Devlin et al.*2015 · 181 citations*
66. **[Using k-Poselets for Detecting People and Localizing Their Keypoints ↗](https://doi.org/10.1109/cvpr.2014.458) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Georgia Gkioxari et al.*2014 · 177 citations*
67. **[Actions and Attributes from Wholes and Parts ↗](https://doi.org/10.1109/iccv.2015.284) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Georgia Gkioxari, Ross Girshick, Jitendra Malik*2015 · 144 citations*
68. **[Fast and Accurate Model Scaling ↗](https://arxiv.org/abs/2103.06877) arXiv:2103.06877 · no summary yet**Piotr Dollar, Mannat Singh, Ross Girshick*2021 · 122 citations*
69. **[R-CNNs for Pose Estimation and Action Detection ↗](https://arxiv.org/abs/1406.5212) CaltechAUTHORS (California Institute of Technology) · no summary yet**Georgia Gkioxari et al.*2014 · 120 citations*
70. **[Revisiting Weakly Supervised Pre-Training of Visual Perception Models ↗](https://doi.org/10.1109/cvpr52688.2022.00088) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Mannat Singh et al.*2022 · 105 citations*
71. **[Object Instance Segmentation and Fine-Grained Localization Using Hypercolumns ↗](https://doi.org/10.1109/tpami.2016.2578328) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Bharath Hariharan et al.*2016 · 102 citations*
72. **[A Multigrid Method for Efficiently Training Video Models ↗](https://arxiv.org/abs/1912.00998) arXiv:1912.00998 · no summary yet**Chao-Yuan Wu et al.*2019 · 95 citations*
73. **[Understanding Objects in Detail with Fine-Grained Attributes ↗](https://doi.org/10.1109/cvpr.2014.463) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Andrea Vedaldi et al.*2014 · 92 citations*
74. **[Impact of data on generalization of AI for surgical intelligence applications ↗](https://doi.org/10.1038/s41598-020-79173-6) Scientific Reports · no summary yet**Omri Bar et al.*2020 · 88 citations*
75. **[Benchmarking Detection Transfer Learning with Vision Transformers ↗](https://arxiv.org/abs/2111.11429) arXiv (Cornell University) · no summary yet**Yanghao Li et al.*2021 · 86 citations*
76. **[Reducing Overfitting in Deep Networks by Decorrelating Representations ↗](https://arxiv.org/abs/1511.06068) arXiv (Cornell University) · no summary yet**Michael Cogswell et al.*2015 · 86 citations*
77. **[Sparselet Models for Efficient Multiclass Object Detection ↗](https://doi.org/10.1007/978-3-642-33709-3_57) Lecture notes in computer science · no summary yet**Hyun Oh Song et al.*2012 · 78 citations*
78. **[Learning by Asking Questions ↗](https://arxiv.org/abs/1712.01238) arXiv:1712.01238 · no summary yet**Ishan Misra et al.*2017 · 75 citations*
79. **[Are Labels Necessary for Neural Architecture Search? ↗](https://doi.org/10.1007/978-3-030-58548-8_46) Lecture notes in computer science · no summary yet**Chenxi Liu et al.*2020 · 71 citations*
80. **[Object Detection ↗](https://doi.org/10.1007/978-3-030-63416-2_660) Springer eBooks · no summary yet**Yali Amit, Pedro F. Felzenszwalb, Ross Girshick*2021 · 69 citations*
81. **[Visual object detection with deformable part models ↗](https://doi.org/10.1145/2494532) Communications of the ACM · no summary yet**Pedro F. Felzenszwalb et al.*2013 · 58 citations*
82. **[The effectiveness of MAE pre-pretraining for billion-scale pretraining ↗](https://doi.org/10.1109/iccv51070.2023.00505) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Mannat Singh et al.*2023 · 56 citations*
83. **[Object Detection ↗](https://doi.org/10.1007/978-3-030-03243-2_660-1) Springer eBooks · no summary yet**Yali Amit, Pedro F. Felzenszwalb, Ross Girshick*2020 · 56 citations*
84. **[PyTorchVideo ↗](https://doi.org/10.1145/3474085.3478329) ACM International Conference on Multimedia (ACM MM) · no summary yet**Haoqi Fan et al.*2021 · 50 citations*
85. **[From rigid templates to grammars: object detection with structured models ↗](https://openalex.org/W2292423453) no summary yet**Pedro F. Felzenszwalb, Ross Girshick*2012 · 44 citations*
86. **[The three R’s of computer vision: Recognition, reconstruction and reorganization ↗](https://doi.org/10.1016/j.patrec.2016.01.019) Pattern Recognition Letters · no summary yet**Jitendra Malik et al.*2016 · 43 citations*
87. **[Training Deformable Part Models with Decorrelated Features ↗](https://doi.org/10.1109/iccv.2013.375) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Ross Girshick, Jitendra Malik*2013 · 33 citations*
88. **[Inferring 3D Object Pose in RGB-D Images ↗](https://arxiv.org/abs/1502.04652) arXiv (Cornell University) · no summary yet**Saurabh Gupta et al.*2015 · 29 citations*
89. **[On learning to localize objects with minimal supervision ↗](https://arxiv.org/abs/1403.1024) arXiv (Cornell University) · no summary yet**Hyun Oh Song et al.*2014 · 28 citations*
90. **[PHYRE: A New Benchmark for Physical Reasoning ↗](https://arxiv.org/abs/1908.05656) arXiv:1908.05656 · no summary yet**Anton Bakhtin et al.*2019 · 27 citations*
91. **[Discriminatively Activated Sparselets ↗](https://openalex.org/W1481552826) no summary yet**Ross Girshick, Hyun Oh Song, Trevor Jackson Darrell*2013 · 27 citations*
92. **[Generalized Sparselet Models for Real-Time Multiclass Object Recognition ↗](https://doi.org/10.1109/tpami.2014.2353631) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Hyun Oh Song et al.*2014 · 23 citations*
93. **[Visibility constraints on features of 3D objects ↗](https://doi.org/10.1109/cvpr.2009.5206726) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Ronen Basri et al.*2009 · 17 citations*
94. **[Large Scale Weakly and Semi-Supervised Learning for Low-Resource Video ASR ↗](https://doi.org/10.21437/interspeech.2020-1917) Interspeech (USB) · no summary yet**Kritika Singh et al.*2020 · 14 citations*
95. **[Training ASR Models By Generation of Contextual Information ↗](https://doi.org/10.1109/icassp40776.2020.9053527) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Kritika Singh et al.*2020 · 8 citations*
96. **[PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators ↗](https://arxiv.org/abs/2406.20083) arXiv (Cornell University) · no summary yet**Kuo-Hao Zeng et al.*2024 · 7 citations*
97. **[SIMS-V: Simulated Instruction-Tuning for Spatial Video Understanding ↗](https://arxiv.org/abs/2511.04668) arXiv (Cornell University) · no summary yet**Ellis Brown et al.*2025 · 6 citations*
98. **[Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details ↗](https://arxiv.org/abs/2102.01066) arXiv (Cornell University) · no summary yet**Achal Dave et al.*2021 · 5 citations*
99. **[PyTorchVideo: A Deep Learning Library for Video Understanding ↗](https://arxiv.org/abs/2111.09887) arXiv (Cornell University) · no summary yet**Haoqi Fan et al.*2021 · 4 citations*
100. **[I1.4: Invited Paper : Indoor Scene Understanding from RGB‐D Images ↗](https://doi.org/10.1002/sdtp.10285) SID Symposium Digest of Technical Papers · no summary yet**Saurabh Gupta et al.*2015 · 2 citations*

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