Detecting Cancer Metastases on Gigapixel Pathology Images. - Yun Liu 013; Krishna Gadepalli; Mohammad Norouzi 002; George E. Dahl; Timo Kohlberger; Aleksey Boyko; Subhashini Venugopalan; Aleksei Timofeev; Philip Q. Nelson; Gregory S. Corrado; Jason D. Hipp; Lily Peng; et al. (CoRR, 2017)

Inferring Context from Pixels for Multimodal Image Classification. - Manan Shah; Krishnamurthy Viswanathan; Chun-Ta Lu; Ariel Fuxman; Zhen Li 028; Aleksei Timofeev; Chao Jia; Chen Sun 002 (CIKM, 2019)

Graph-RISE: Graph-Regularized Image Semantic Embedding. - Da-Cheng Juan; Chun-Ta Lu; Zhen Li 028; Futang Peng; Aleksei Timofeev; Yi-Ting Chen; Yaxi Gao; Tom Duerig; Andrew Tomkins; Sujith Ravi (CoRR, 2019)

Scalability in Perception for Autonomous Driving: Waymo Open Dataset. - Pei Sun; Henrik Kretzschmar; Xerxes Dotiwalla; Aurelien Chouard; Vijaysai Patnaik; Paul Tsui; James Guo; Yin Zhou; Yuning Chai; Benjamin Caine; Vijay Vasudevan; Wei Han 002; et al. (CVPR, 2020)

Ultra Fine-Grained Image Semantic Embedding. - Da-Cheng Juan; Chun-Ta Lu; Zhen Li 028; Futang Peng; Aleksei Timofeev; Yi-Ting Chen; Yaxi Gao; Tom Duerig; Andrew Tomkins; Sujith Ravi (WSDM, 2020)

MOFI: Learning Image Representations from Noisy Entity Annotated Images. - Wentao Wu; Aleksei Timofeev; Chen Chen 005; Bowen Zhang 002; Kun Duan; Shuangning Liu; Yantao Zheng; Jonathon Shlens; Xianzhi Du; Zhe Gan; Yinfei Yang (CoRR, 2023)

From Scarcity to Efficiency: Improving CLIP Training via Visual-enriched Captions. - Zhengfeng Lai; Haotian Zhang 005; Wentao Wu; Haoping Bai; Aleksei Timofeev; Xianzhi Du; Zhe Gan; Jiulong Shan; Chen-Nee Chuah; Yinfei Yang; Meng Cao (CoRR, 2023)

VeCLIP: Improving CLIP Training via Visual-Enriched Captions. - Zhengfeng Lai; Haotian Zhang 005; Bowen Zhang 002; Wentao Wu; Haoping Bai; Aleksei Timofeev; Xianzhi Du; Zhe Gan; Jiulong Shan; Chen-Nee Chuah; Yinfei Yang; Meng Cao (ECCV (42), 2024)

MOFI: Learning Image Representations from Noisy Entity Annotated Images. - Wentao Wu; Aleksei Timofeev; Chen Chen 005; Bowen Zhang 002; Kun Duan; Shuangning Liu; Yantao Zheng; Jonathon Shlens; Xianzhi Du; Yinfei Yang (ICLR, 2024)

MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning. - Haotian Zhang 005; Mingfei Gao; Zhe Gan; Philipp Dufter; Nina Wenzel; Forrest Huang; Dhruti Shah; Xianzhi Du; Bowen Zhang 002; Yanghao Li; Sam Dodge; Keen You; et al. (CoRR, 2024)

From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons. - Andrew Szot; Bogdan Mazoure; Omar Attia; Aleksei Timofeev; Harsh Agrawal; R. Devon Hjelm; Zhe Gan; Zsolt Kira; Alexander Toshev (CVPR, 2025)

MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning. - Haotian Zhang 005; Mingfei Gao; Zhe Gan; Philipp Dufter; Nina Wenzel; Forrest Huang; Dhruti Shah; Xianzhi Du; Bowen Zhang 002; Yanghao Li; Sam Dodge; Keen You; et al. (ICLR, 2025)