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Aleksei Timofeev
Aleksei Timofeev
Bilinmeyen bağlantı
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Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Scalability in perception for autonomous driving: Waymo open dataset
P Sun, H Kretzschmar, X Dotiwalla, A Chouard, V Patnaik, P Tsui, J Guo, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
33612020
Detecting cancer metastases on gigapixel pathology images
Y Liu, K Gadepalli, M Norouzi, GE Dahl, T Kohlberger, A Boyko, ...
arXiv preprint arXiv:1703.02442, 2017
8012017
Detecting cancer metastases on gigapixel pathology images. arXiv 2017
Y Liu, K Gadepalli, M Norouzi, GE Dahl, T Kohlberger, A Boyko, ...
arXiv preprint arXiv:1703.02442, 2017
652017
Graph-rise: Graph-regularized image semantic embedding
DC Juan, CT Lu, Z Li, F Peng, A Timofeev, YT Chen, Y Gao, T Duerig, ...
arXiv preprint arXiv:1902.10814, 2019
392019
From scarcity to efficiency: Improving clip training via visual-enriched captions
Z Lai, H Zhang, W Wu, H Bai, A Timofeev, X Du, Z Gan, J Shan, ...
272023
Ultra fine-grained image semantic embedding
DC Juan, CT Lu, Z Li, F Peng, A Timofeev, YT Chen, Y Gao, T Duerig, ...
Proceedings of the 13th international conference on web search and data …, 2020
202020
Veclip: Improving clip training via visual-enriched captions
Z Lai, H Zhang, B Zhang, W Wu, H Bai, A Timofeev, X Du, Z Gan, J Shan, ...
European Conference on Computer Vision, 111-127, 2025
182025
Training image and text embedding models
Z Li, YT Chen, N Ye, Y Gao, Z Guo, A Timofeev, F Peng, TJ Duerig
US Patent App. 16/265,811, 2020
182020
Mm1. 5: Methods, analysis & insights from multimodal llm fine-tuning
H Zhang, M Gao, Z Gan, P Dufter, N Wenzel, F Huang, D Shah, X Du, ...
arXiv preprint arXiv:2409.20566, 2024
162024
Training image and text embedding models
Z Li, YT Chen, Y Gao, DC Juan, A Timofeev, CT Lu, F Peng, S Ravi, ...
US Patent 11,586,927, 2023
112023
MOFI: Learning Image Representations from Noisy Entity Annotated Images
W Wu, A Timofeev, C Chen, B Zhang, K Duan, S Liu, Y Zheng, J Shlens, ...
arXiv preprint arXiv:2306.07952, 2023
82023
Inferring context from pixels for multimodal image classification
M Shah, K Viswanathan, CT Lu, A Fuxman, Z Li, A Timofeev, C Jia, C Sun
Proceedings of the 28th ACM International Conference on Information and …, 2019
72019
Multimodal image classifier using textual and visual embeddings
A Fuxman, A Timofeev, Z Li, CT Lu, M Shah, C Sun, K Viswanathan, C Jia
US Patent 11,907,337, 2024
62024
Detecting cancer metastases on gigapixel pathology images. CoRR abs/1703.02442 (2017)
Y Liu, K Gadepalli, M Norouzi, GE Dahl, T Kohlberger, A Boyko, ...
arXiv preprint arXiv:1703.02442, 2017
52017
Spatio-temporal pose/object database
BA White, A Timofeev
US Patent App. 17/063,330, 2021
22021
Graph-RISE: Graph-Regularized Image Semantic Embedding
A Timofeev, A Tomkins, CT Lu, DC Juan, F Peng, K Viswanathan, L Gao, ...
ACM WSDM, 2020
22020
From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons
A Szot, B Mazoure, O Attia, A Timofeev, H Agrawal, D Hjelm, Z Gan, Z Kira, ...
arXiv preprint arXiv:2412.08442, 2024
2024
Training Image and Text Embedding Models
Z Li, YT Chen, Y Gao, DC Juan, A Timofeev, CT Lu, F Peng, S Ravi, ...
US Patent App. 18/741,082, 2024
2024
SPATIO-TEMPORAL POSE/OBJECT DATABASE
BA White, A Timofeev
US Patent App. 18/440,363, 2024
2024
Training image and text embedding models
Z Li, YT Chen, Y Gao, DC Juan, A Timofeev, CT Lu, F Peng, S Ravi, ...
US Patent 12,038,970, 2024
2024
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