Sledovat
Subhashree Radhakrishnan
Subhashree Radhakrishnan
NVIDIA, Virginia Tech
E-mailová adresa ověřena na: nvidia.com - Domovská stránka
Název
Citace
Citace
Rok
Discobox: Weakly supervised instance segmentation and semantic correspondence from box supervision
S Lan, Z Yu, C Choy, S Radhakrishnan, G Liu, Y Zhu, LS Davis, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
882021
Lita: Language instructed temporal-localization assistant
DA Huang, S Liao, S Radhakrishnan, H Yin, P Molchanov, Z Yu, J Kautz
European Conference on Computer Vision, 202-218, 2025
422025
Eagle: Exploring the design space for multimodal llms with mixture of encoders
M Shi, F Liu, S Wang, S Liao, S Radhakrishnan, DA Huang, H Yin, ...
arXiv preprint arXiv:2408.15998, 2024
422024
Using neural networks to perform object detection, instance segmentation, and semantic correspondence from bounding box supervision
Z Yu, S Lan, C Choy, S Radhakrishnan, G Liu, Y Zhu, A Anandkumar
US Patent App. 17/177,068, 2022
272022
Determining associations between objects and persons using machine learning models
P Sriram, FR Kumar, A Ubale, F Aghdasi, Y Zhai, S Radhakrishnan
US Patent 11,205,086, 2021
202021
Training object detection models using transfer learning
Y Wang, F Aghdasi, P Sriram, S Radhakrishnan
US Patent App. 17/477,370, 2023
52023
End-to-end action recognition in intelligent video analysis and edge computing systems
S Radhakrishnan, F Aghdasi
US Patent App. 17/225,924, 2022
52022
Automatic labeling and segmentation using machine learning models
S Radhakrishnan, P Sriram, F Aghdasi, S Cha, Z Yu
US Patent 11,899,749, 2024
22024
What is Point Supervision Worth in Video Instance Segmentation?
S Huang, DA Huang, Z Yu, S Lan, S Radhakrishnan, JM Alvarez, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
22024
Determining associations between objects and persons using machine learning models
P Sriram, FR Kumar, A Ubale, F Aghdasi, Y Zhai, S Radhakrishnan
US Patent 11,741,736, 2023
12023
Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models
Z Li, G Chen, S Liu, S Wang, V VS, Y Ji, S Lan, H Zhang, Y Zhao, ...
arXiv preprint arXiv:2501.14818, 2025
2025
Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks
M Heo, MH Chen, DA Huang, S Liu, S Radhakrishnan, SJ Kim, ...
arXiv preprint arXiv:2501.08326, 2025
2025
Point-level supervision for video instance segmentation
Z Yu, S Huang, DA Huang, S Lan, S Radhakrishnan, JMA Lopez, ...
US Patent App. 18/395,198, 2024
2024
Class agnostic object mask generation
S Lan, Z Yu, S Radhakrishnan, JMA Lopez, A Anandkumar
US Patent App. 18/355,856, 2024
2024
Determining associations between objects and persons using machine learning models
P Sriram, FR Kumar, A Ubale, F Aghdasi, Y Zhai, S Radhakrishnan
US Patent App. 18/347,471, 2023
2023
DISCOBOX: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision-Supplementary
S Lan, Z Yu, C Choy, S Radhakrishnan, G Liu, Y Zhu, LS Davis, ...
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