Terrain Synthesis from Digital Elevation Models. - Howard Zhou; Jie Sun 004; Greg Turk; James M. Rehg (IEEE Trans. Vis. Comput. Graph., 2007)

Spatially constrained segmentation of dermoscopy images. - Howard Zhou; Mei Chen; Le Zou; Richard Gass; Laura Ferris; Laura Drogowski; James M. Rehg (ISBI, 2008)

Feature-preserving artifact removal from dermoscopy images. - Howard Zhou; Mei Chen; Richard Gass; James M. Rehg; Laura Ferris; Jonhan Ho; Laura Drogowski (Image Processing, 2008)

Dermoscopic Interest Point Detector and Descriptor. - Howard Zhou; Mei Chen; James M. Rehg (ISBI, 2009)

Dual Range Deringing for non-blind image deconvolution. - Le Zou; Howard Zhou; Samuel Cheng 001; Chuan He (ICIP, 2010)

Exemplar-based segmentation of pigmented skin lesions from dermoscopy images. - Howard Zhou; James M. Rehg; Mei Chen (ISBI, 2010)

Movie genre classification via scene categorization. - Howard Zhou; Tucker Hermans; Asmita V. Karandikar; James M. Rehg (ACM Multimedia, 2010)

Blockout: Dynamic Model Selection for Hierarchical Deep Networks. - Calvin Murdock; Zhen Li 028; Howard Zhou; Tom Duerig (CVPR, 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 001 (ECCV (3), 2016)

Unifying Specialist Image Embedding into Universal Image Embedding. - Yang Feng 001; Futang Peng; Xu Zhang 022; Wei Zhu 015; Shanfeng Zhang; Howard Zhou; Zhen Li 028; Tom Duerig; Shih-Fu Chang; Jiebo Luo 001 (CoRR, 2020)

IBRNet: Learning Multi-View Image-Based Rendering. - Qianqian Wang 002; Zhicheng Wang; Kyle Genova; Pratul P. Srinivasan; Howard Zhou; Jonathan T. Barron; Ricardo Martin-Brualla; Noah Snavely; Thomas A. Funkhouser (CVPR, 2021)

Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories. - Thomas Mensink; Jasper R. R. Uijlings; Lluís Castrejón; Arushi Goel; Felipe Cadar; Howard Zhou; Fei Sha; André Araújo 001; Vittorio Ferrari (ICCV, 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; André Araújo 001; Ricardo Martin-Brualla; Kaushal Patel; Daniel Vlasic; Vittorio Ferrari; et al. (NeurIPS, 2023)

LFM-3D: Learnable Feature Matching Across Wide Baselines Using 3D Signals. - Arjun Karpur; Guilherme Perrotta; Ricardo Martin-Brualla; Howard Zhou; André Araújo 001 (3DV, 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; et al. (CVPR, 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 Gnanapragasam; Varun Jampani; Hao Su 001; Leonidas J. Guibas (ECCV (54), 2024)

HAMMR: HierArchical MultiModal React agents for generic VQA. - Lluís Castrejón; Thomas Mensink; Howard Zhou; Vittorio Ferrari; André Araújo 001; Jasper R. R. Uijlings (CoRR, 2024)

FirePlace: Geometric Refinements of LLM Common Sense Reasoning for 3D Object Placement. - Ian Huang; Yanan Bao; Karen Truong; Howard Zhou; Cordelia Schmid; Leonidas J. Guibas; Alireza Fathi (CVPR, 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; et al. (ICLR, 2025)