Grasch, Peter

6 publications

CVPR 2025 FastVLM: Efficient Vision Encoding for Vision Language Models Pavan Kumar Anasosalu Vasu, Fartash Faghri, Chun-Liang Li, Cem Koc, Nate true, Albert Antony, Gokula Santhanam, James Gabriel, Peter Grasch, Oncel Tuzel, Hadi Pouransari

ICLR 2025 MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs Yusu Qian, Hanrong Ye, Jean-Philippe Fauconnier, Peter Grasch, Yinfei Yang, Zhe Gan

ICCV 2025 MM-Spatial: Exploring 3D Spatial Understanding in Multimodal LLMs Erik Daxberger, Nina Wenzel, David Griffiths, Haiming Gang, Justin Lazarow, Gefen Kohavi, Kai Kang, Marcin Eichner, Yinfei Yang, Afshin Dehghan, Peter Grasch

ICLR 2025 MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-Tuning Haotian Zhang, Mingfei Gao, Zhe Gan, Philipp Dufter, Nina Wenzel, Forrest Huang, Dhruti Shah, Xianzhi Du, Bowen Zhang, Yanghao Li, Sam Dodge, Keen You, Zhen Yang, Aleksei Timofeev, Mingze Xu, Hong-You Chen, Jean-Philippe Fauconnier, Zhengfeng Lai, Haoxuan You, Zirui Wang, Afshin Dehghan, Peter Grasch, Yinfei Yang

ICLR 2025 Revisit Large-Scale Image-Caption Data in Pre-Training Multimodal Foundation Models Zhengfeng Lai, Vasileios Saveris, Chen Chen, Hong-You Chen, Haotian Zhang, Bowen Zhang, Wenze Hu, Juan Lao Tebar, Zhe Gan, Peter Grasch, Meng Cao, Yinfei Yang

ECCV 2024 MM1: Methods, Analysis & Insights from Multimodal LLM Pre-Training Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Samuel Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Futang Peng, Anton Belyi, Max A Schwarzer, Hongyu Hè, Xianzhi Du, Haotian Zhang, Karanjeet Singh, Doug Kang, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang