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2020 – today
- 2024
[c12]Arjun Karpur, Guilherme Perrotta, Ricardo Martin-Brualla, Howard Zhou, André Araújo:
LFM-3D: Learnable Feature Matching Across Wide Baselines Using 3D Signals. 3DV 2024: 11-20- [i10]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:
Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use. CoRR abs/2403.02626 (2024) - [i9]Lluís Castrejón, Thomas Mensink, Howard Zhou, Vittorio Ferrari, André Araújo, Jasper R. R. Uijlings:
HAMMR: HierArchical MultiModal React agents for generic VQA. CoRR abs/2404.05465 (2024) - [i8]Xiaoshuai Zhang, Zhicheng Wang, Howard Zhou, Soham Ghosh, Danushen Gnanapragasam, Varun Jampani, Hao Su, Leonidas J. Guibas:
ConDense: Consistent 2D/3D Pre-training for Dense and Sparse Features from Multi-View Images. CoRR abs/2408.17027 (2024) - 2023
- [c11]Thomas Mensink, Jasper R. R. Uijlings, Lluís Castrejón, Arushi Goel, Felipe Cadar, Howard Zhou
, Fei Sha, André Araújo, Vittorio Ferrari:
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories. ICCV 2023: 3090-3101 - [c10]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:
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. NeurIPS 2023 - [i7]Arjun Karpur, Guilherme Perrotta, Ricardo Martin-Brualla, Howard Zhou, André Araújo:
LFM-3D: Learnable Feature Matching Across Wide Baselines Using 3D Signals. CoRR abs/2303.12779 (2023) - [i6]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:
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. CoRR abs/2306.09109 (2023) - [i5]Thomas Mensink, Jasper R. R. Uijlings, Lluís Castrejón, Arushi Goel, Felipe Cadar, Howard Zhou, Fei Sha, André Araújo, Vittorio Ferrari:
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories. CoRR abs/2306.09224 (2023) - 2021
- [c9]Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul P. Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas A. Funkhouser:
IBRNet: Learning Multi-View Image-Based Rendering. CVPR 2021: 4690-4699 - [i4]Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul P. Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas A. Funkhouser:
IBRNet: Learning Multi-View Image-Based Rendering. CoRR abs/2102.13090 (2021) - 2020
- [i3]Yang Feng, Futang Peng, Xu Zhang, Wei Zhu, Shanfeng Zhang, Howard Zhou, Zhen Li, Tom Duerig, Shih-Fu Chang, Jiebo Luo:
Unifying Specialist Image Embedding into Universal Image Embedding. CoRR abs/2003.03701 (2020)
2010 – 2019
- 2016
- [c8]Calvin Murdock, Zhen Li, Howard Zhou, Tom Duerig:
Blockout: Dynamic Model Selection for Hierarchical Deep Networks. CVPR 2016: 2583-2591 - [c7]Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei:
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. ECCV (3) 2016: 301-320 - 2015
- [i2]Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei:
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. CoRR abs/1511.06789 (2015) - [i1]Calvin Murdock, Zhen Li, Howard Zhou, Tom Duerig:
Blockout: Dynamic Model Selection for Hierarchical Deep Networks. CoRR abs/1512.05246 (2015) - 2010
- [c6]Le Zou, Howard Zhou, Samuel Cheng, Chuan He:
Dual Range Deringing for non-blind image deconvolution. ICIP 2010: 1701-1704 - [c5]Howard Zhou, James M. Rehg, Mei Chen:
Exemplar-based segmentation of pigmented skin lesions from dermoscopy images. ISBI 2010: 225-228 - [c4]Howard Zhou, Tucker Hermans, Asmita V. Karandikar, James M. Rehg:
Movie genre classification via scene categorization. ACM Multimedia 2010: 747-750
2000 – 2009
- 2009
- [c3]Howard Zhou, Mei Chen, James M. Rehg:
Dermoscopic Interest Point Detector and Descriptor. ISBI 2009: 1318-1321 - 2008
- [c2]Howard Zhou, Mei Chen, Le Zou, Richard Gass, Laura Ferris, Laura Drogowski, James M. Rehg:
Spatially constrained segmentation of dermoscopy images. ISBI 2008: 800-803 - [c1]Howard Zhou, Mei Chen, Richard Gass, James M. Rehg, Laura Ferris, Jonhan Ho, Laura Drogowski:
Feature-preserving artifact removal from dermoscopy images. Medical Imaging: Image Processing 2008: 69141B - 2007
- [j1]Howard Zhou, Jie Sun, Greg Turk, James M. Rehg:
Terrain Synthesis from Digital Elevation Models. IEEE Trans. Vis. Comput. Graph. 13(4): 834-848 (2007)
Coauthor Index
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