Howard Zhou

32 papers A* 8B 2Journal 16Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Benchmark and Knowledge-Grounded Framework for Advanced Multimodal Personalization Study.
CoRR
Xia Hu, Honglei Zhuang, Brian Potetz, Alireza Fathi, Bo Hu, Babak Samari, Howard Zhou
2025 A* conf
FirePlace: Geometric Refinements of LLM Common Sense Reasoning for 3D Object Placement.
CVPR
Ian Huang, Yanan Bao, Karen Truong, Howard Zhou, Cordelia Schmid, Leonidas J. Guibas, Alireza Fathi
2025 J jnl
FirePlace: Geometric Refinements of LLM Common Sense Reasoning for 3D Object Placement.
CoRR
Ian Huang, Yanan Bao, Karen Truong, Howard Zhou, Cordelia Schmid, Leonidas J. Guibas, Alireza Fathi
2025 J jnl
GaussianLens: Localized High-Resolution Reconstruction via On-Demand Gaussian Densification.
CoRR
Yijia Weng, Zhicheng Wang, Songyou Peng, Saining Xie, Howard Zhou, Leonidas J. Guibas
2025 J jnl
Robot Learning from a Physical World Model.
CoRR
Jiageng Mao, Sicheng He, Hao-Ning Wu, Yang You, Shuyang Sun, Zhicheng Wang, Yanan Bao, Huizhong Chen, Leonidas J. Guibas, Vitor Guizilini, Howard Zhou, Yue Wang
2025 A* conf
TIPS: Text-Image Pretraining with Spatial awareness.
ICLR
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, André Araújo
2024 — conf
CONDENSE: Consistent 2D/3D Pre-training for Dense and Sparse Features from Multi-View Images.
ECCV (54)
Xiaoshuai Zhang, Zhicheng Wang, Howard Zhou, Soham Ghosh, Danushen Gnanapragasam, Varun Jampani, Hao Su, Leonidas J. Guibas
2024 J jnl
ConDense: Consistent 2D/3D Pre-training for Dense and Sparse Features from Multi-View Images.
CoRR
Xiaoshuai Zhang, Zhicheng Wang, Howard Zhou, Soham Ghosh, Danushen Gnanapragasam, Varun Jampani, Hao Su, Leonidas J. Guibas
2024 J jnl
HAMMR: HierArchical MultiModal React agents for generic VQA.
CoRR
Lluís Castrejón, Thomas Mensink, Howard Zhou, Vittorio Ferrari, André Araújo, Jasper R. R. Uijlings
2024 — conf
LFM-3D: Learnable Feature Matching Across Wide Baselines Using 3D Signals.
3DV
Arjun Karpur, Guilherme Perrotta, Ricardo Martin-Brualla, Howard Zhou, André Araújo
2024 J jnl
Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use.
CoRR
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
2024 A* conf
Modeling Collaborator: Enabling Subjective Vision Classification with Minimal Human Effort via LLM Tool-Use.
CVPR
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
2024 J jnl
TIPS: Text-Image Pretraining with Spatial Awareness.
CoRR
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, André Araújo
2023 A* conf
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories.
ICCV
Thomas Mensink, Jasper R. R. Uijlings, Lluís Castrejón, Arushi Goel, Felipe Cadar, Howard Zhou, Fei Sha, André Araújo, Vittorio Ferrari
2023 J jnl
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories.
CoRR
Thomas Mensink, Jasper R. R. Uijlings, Lluís Castrejón, Arushi Goel, Felipe Cadar, Howard Zhou, Fei Sha, André Araújo, Vittorio Ferrari
2023 J jnl
LFM-3D: Learnable Feature Matching Across Wide Baselines Using 3D Signals.
CoRR
Arjun Karpur, Guilherme Perrotta, Ricardo Martin-Brualla, Howard Zhou, André Araújo
2023 A* conf
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations.
NeurIPS
Varun Jampani, Kevis-Kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, André Araújo, Ricardo Martin-Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou
2023 J jnl
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations.
CoRR
Varun Jampani, Kevis-Kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, André Araújo, Ricardo Martin-Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou
2021 A* conf
IBRNet: Learning Multi-View Image-Based Rendering.
CVPR
Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul P. Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas A. Funkhouser
2021 J jnl
IBRNet: Learning Multi-View Image-Based Rendering.
CoRR
Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul P. Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas A. Funkhouser
2020 J jnl
Unifying Specialist Image Embedding into Universal Image Embedding.
CoRR
Yang Feng, Futang Peng, Xu Zhang, Wei Zhu, Shanfeng Zhang, Howard Zhou, Zhen Li, Tom Duerig, Shih-Fu Chang, Jiebo Luo
2016 A* conf
Blockout: Dynamic Model Selection for Hierarchical Deep Networks.
CVPR
Calvin Murdock, Zhen Li, Howard Zhou, Tom Duerig
2016 — conf
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition.
ECCV (3)
Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei
2015 J jnl
Blockout: Dynamic Model Selection for Hierarchical Deep Networks.
CoRR
Calvin Murdock, Zhen Li, Howard Zhou, Tom Duerig
2015 J jnl
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition.
CoRR
Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei
2010 B conf
Dual Range Deringing for non-blind image deconvolution.
ICIP
Le Zou, Howard Zhou, Samuel Cheng, Chuan He
2010 — conf
Exemplar-based segmentation of pigmented skin lesions from dermoscopy images.
ISBI
Howard Zhou, James M. Rehg, Mei Chen
2010 A* conf
Movie genre classification via scene categorization.
ACM Multimedia
Howard Zhou, Tucker Hermans, Asmita V. Karandikar, James M. Rehg
2009 — conf
Dermoscopic Interest Point Detector and Descriptor.
ISBI
Howard Zhou, Mei Chen, James M. Rehg
2008 B conf
Feature-preserving artifact removal from dermoscopy images.
Image Processing
Howard Zhou, Mei Chen, Richard Gass, James M. Rehg, Laura Ferris, Jonhan Ho, Laura Drogowski
2008 — conf
Spatially constrained segmentation of dermoscopy images.
ISBI
Howard Zhou, Mei Chen, Le Zou, Richard Gass, Laura Ferris, Laura Drogowski, James M. Rehg
2007 J jnl
Terrain Synthesis from Digital Elevation Models.
IEEE Trans. Vis. Comput. Graph.
Howard Zhou, Jie Sun, Greg Turk, James M. Rehg