Zhou, Howard

10 publications

CVPR 2025 FirePlace: Geometric Refinements of LLM Common Sense Reasoning for 3D Object Placement Ian Huang, Yanan Bao, Karen Truong, Howard Zhou, Cordelia Schmid, Leonidas Guibas, Alireza Fathi

ICLR 2025 TIPS: Text-Image Pretraining with Spatial Awareness Kevis-kokitsi Maninis, Kaifeng Chen, Soham Ghosh, Arjun Karpur, Koert Chen, Ye Xia, Bingyi Cao, Daniel Salz, Guangxing Han, Jan Dlabal, Dan Gnanapragasam, Mojtaba Seyedhosseini, Howard Zhou, Andre Araujo

ECCV 2024 ConDense: Consistent 2D-3D Pre-Training for Dense and Sparse Features from Multi-View Images Xiaoshuai Zhang, Zhicheng Wang, Howard Zhou, Soham Ghosh, Danushen L Gnanapragasam, Varun Jampani, Hao Su, Leonidas Guibas

NeurIPSW 2024 HAMMR : HierArchical MultiModal React Agents for Generic VQA Lluis Castrejon, Thomas Mensink, Howard Zhou, Vittorio Ferrari, Andre Araujo, Jasper Uijlings

CVPR 2024 Modeling Collaborator: Enabling Subjective Vision Classification with Minimal Human Effort via LLM Tool-Use Imad Eddine Toubal, Aditya Avinash, Neil Gordon Alldrin, Jan Dlabal, Wenlei Zhou, Enming Luo, Otilia Stretcu, Hao Xiong, Chun-Ta Lu, Howard Zhou, Ranjay Krishna, Ariel Fuxman, Tom Duerig

ICCV 2023 Encyclopedic VQA: Visual Questions About Detailed Properties of Fine-Grained Categories Thomas Mensink, Jasper Uijlings, Lluis Castrejon, Arushi Goel, Felipe Cadar, Howard Zhou, Fei Sha, André Araujo, Vittorio Ferrari

NeurIPS 2023 NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations Varun Jampani, Kevis-kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, Andre Araujo, Ricardo Martin Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou

CVPR 2021 IBRNet: Learning Multi-View Image-Based Rendering Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul P. Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas Funkhouser

CVPR 2016 Blockout: Dynamic Model Selection for Hierarchical Deep Networks Calvin Murdock, Zhen Li, Howard Zhou, Tom Duerig

ECCV 2016 The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei