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ORCIDKaran Desai
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2020 – today
- 2024
[c10]Shweta Singh, Aayan Yadav, Jitesh Jain, Humphrey Shi, Justin Johnson, Karan Desai:
Benchmarking Object Detectors with COCO: A New Path Forward. ECCV (44) 2024: 279-295- [i9]Shweta Singh, Aayan Yadav, Jitesh Jain, Humphrey Shi, Justin Johnson, Karan Desai:
Benchmarking Object Detectors with COCO: A New Path Forward. CoRR abs/2403.18819 (2024) - 2023
- [c9]Mohamed El Banani, Karan Desai, Justin Johnson:
Learning Visual Representations via Language-Guided Sampling. CVPR 2023: 19208-19220 - [c8]Karan Desai, Maximilian Nickel, Tanmay Rajpurohit, Justin Johnson, Shanmukha Ramakrishna Vedantam:
Hyperbolic Image-text Representations. ICML 2023: 7694-7731 - [i8]Mohamed El Banani, Karan Desai, Justin Johnson:
Learning Visual Representations via Language-Guided Sampling. CoRR abs/2302.12248 (2023) - [i7]Karan Desai, Maximilian Nickel
, Tanmay Rajpurohit, Justin Johnson, Ramakrishna Vedantam:
Hyperbolic Image-Text Representations. CoRR abs/2304.09172 (2023) - 2022
- [c7]Karan Desai, Ishan Misra, Justin Johnson, Laurens van der Maaten:
Scaling up Instance Segmentation using Approximately Localized Phrases. BMVC 2022: 648 - 2021
- [c6]Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson, Nikhil Naik:
CASTing Your Model: Learning To Localize Improves Self-Supervised Representations. CVPR 2021: 11058-11067 - [c5]Karan Desai, Justin Johnson:
VirTex: Learning Visual Representations From Textual Annotations. CVPR 2021: 11162-11173 - [c4]Karan Desai, Gaurav Kaul, Zubin Aysola, Justin Johnson:
RedCaps: Web-curated image-text data created by the people, for the people. NeurIPS Datasets and Benchmarks 2021 - [i6]Karan Desai, Gaurav Kaul, Zubin Aysola, Justin Johnson:
RedCaps: web-curated image-text data created by the people, for the people. CoRR abs/2111.11431 (2021) - 2020
- [c3]Vincenzo Lomonaco, Karan Desai, Eugenio Culurciello, Davide Maltoni:
Continual Reinforcement Learning in 3D Non-stationary Environments. CVPR Workshops 2020: 999-1008 - [i5]Karan Desai, Justin Johnson:
VirTex: Learning Visual Representations from Textual Annotations. CoRR abs/2006.06666 (2020) - [i4]Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson, Nikhil Naik:
CASTing Your Model: Learning to Localize Improves Self-Supervised Representations. CoRR abs/2012.04630 (2020)
2010 – 2019
- 2019
- [c2]Harsh Agrawal, Peter Anderson, Karan Desai, Yufei Wang, Xinlei Chen, Rishabh Jain, Mark Johnson, Dhruv Batra, Devi Parikh, Stefan Lee:
nocaps: novel object captioning at scale. ICCV 2019: 8947-8956 - [c1]Ramakrishna Vedantam, Karan Desai, Stefan Lee, Marcus Rohrbach, Dhruv Batra, Devi Parikh:
Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering. ICML 2019: 6428-6437 - [i3]Ramakrishna Vedantam, Karan Desai, Stefan Lee, Marcus Rohrbach, Dhruv Batra, Devi Parikh:
Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering. CoRR abs/1902.07864 (2019) - [i2]Vincenzo Lomonaco, Karan Desai, Eugenio Culurciello, Davide Maltoni:
Continual Reinforcement Learning in 3D Non-stationary Environments. CoRR abs/1905.10112 (2019) - 2018
- [i1]Harsh Agrawal, Karan Desai, Yufei Wang, Xinlei Chen, Rishabh Jain, Mark Johnson, Dhruv Batra, Devi Parikh, Stefan Lee, Peter Anderson:
nocaps: novel object captioning at scale. CoRR abs/1812.08658 (2018)
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