Hoiem, Derek

63 publications

NeurIPS 2025 PARTONOMY: Large Multimodal Models with Part-Level Visual Understanding Ansel Blume, Jeonghwan Kim, Hyeonjeong Ha, Elen Chatikyan, Xiaomeng Jin, Khanh Duy Nguyen, Nanyun Peng, Kai-Wei Chang, Derek Hoiem, Heng Ji

CVPR 2025 RELOCATE: A Simple Training-Free Baseline for Visual Query Localization Using Region-Based Representations Savya Khosla, T V Sethuraman, Alexander Schwing, Derek Hoiem

NeurIPS 2025 REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders Savya Khosla, T V Sethuraman, Barnett Lee, Alex Schwing, Derek Hoiem

TMLR 2025 TextRegion: Text-Aligned Region Tokens from Frozen Image-Text Models Yao Xiao, Qiqian Fu, Heyi Tao, Yuqun Wu, Zhen Zhu, Derek Hoiem

ECCV 2024 Anytime Continual Learning for Open Vocabulary Classification Zhen Zhu, Yiming Gong, Derek Hoiem

WACV 2024 Consistent Multimodal Generation via a Unified GAN Framework Zhen Zhu, Yijun Li, Weijie Lyu, Krishna Kumar Singh, Zhixin Shu, Sören Pirk, Derek Hoiem

TMLR 2024 Continual Learning in Open-Vocabulary Classification with Complementary Memory Systems Zhen Zhu, Weijie Lyu, Yao Xiao, Derek Hoiem

CVPR 2024 Region-Based Representations Revisited Michal Shlapentokh-Rothman, Ansel Blume, Yao Xiao, Yuqun Wu, Sethuraman Tv, Heyi Tao, Jae Yong Lee, Wilfredo Torres, Yu-Xiong Wang, Derek Hoiem

CVPR 2024 Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision Language Audio and Action Jiasen Lu, Christopher Clark, Sangho Lee, Zichen Zhang, Savya Khosla, Ryan Marten, Derek Hoiem, Aniruddha Kembhavi

NeurIPS 2023 StyleGAN Knows Normal, Depth, Albedo, and More Anand Bhattad, Daniel McKee, Derek Hoiem, David A. Forsyth

NeurIPS 2022 Language Models with Image Descriptors Are Strong Few-Shot Video-Language Learners Zhenhailong Wang, Manling Li, Ruochen Xu, Luowei Zhou, Jie Lei, Xudong Lin, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Derek Hoiem, Shih-Fu Chang, Mohit Bansal, Heng Ji

CVPR 2022 Towards General Purpose Vision Systems: An End-to-End Task-Agnostic Vision-Language Architecture Tanmay Gupta, Amita Kamath, Aniruddha Kembhavi, Derek Hoiem

ECCV 2022 Webly Supervised Concept Expansion for General Purpose Vision Models Amita Kamath, Christopher Clark, Tanmay Gupta, Eric Kolve, Derek Hoiem, Aniruddha Kembhavi

ICML 2021 Learning Curves for Analysis of Deep Networks Derek Hoiem, Tanmay Gupta, Zhizhong Li, Michal Shlapentokh-Rothman

ICCV 2021 PatchMatch-RL: Deep MVS with Pixelwise Depth, Normal, and Visibility Jae Yong Lee, Joseph DeGol, Chuhang Zou, Derek Hoiem

WACV 2021 Task-Assisted Domain Adaptation with Anchor Tasks Zhizhong Li, Linjie Luo, Sergey Tulyakov, Qieyun Dai, Derek Hoiem

ECCV 2020 Contrastive Learning for Weakly Supervised Phrase Grounding Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem

WACV 2020 Silhouette Guided Point Cloud Reconstruction Beyond Occlusion Chuhang Zou, Derek Hoiem

ECCV 2018 Imagine This! Scripts to Compositions to Videos Tanmay Gupta, Dustin Schwenk, Ali Farhadi, Derek Hoiem, Aniruddha Kembhavi

ECCV 2018 Improved Structure from Motion Using Fiducial Marker Matching Joseph DeGol, Timothy Bretl, Derek Hoiem

ICCV 2017 3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks Chuhang Zou, Ersin Yumer, Jimei Yang, Duygu Ceylan, Derek Hoiem

ICCV 2017 Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks Tanmay Gupta, Kevin Shih, Saurabh Singh, Derek Hoiem

ICCV 2017 ChromaTag: A Colored Marker and Fast Detection Algorithm Joseph DeGol, Timothy Bretl, Derek Hoiem

CVPR 2016 Geometry-Informed Material Recognition Joseph DeGol, Mani Golparvar-Fard, Derek Hoiem

ECCV 2016 Learning Without Forgetting Zhizhong Li, Derek Hoiem

CVPR 2016 Learning to Localize Little Landmarks Saurabh Singh, Derek Hoiem, David Forsyth

NeurIPS 2016 Swapout: Learning an Ensemble of Deep Architectures Saurabh Singh, Derek Hoiem, David Forsyth

CVPR 2016 Where to Look: Focus Regions for Visual Question Answering Kevin J. Shih, Saurabh Singh, Derek Hoiem

CVPR 2015 Completing 3D Object Shape from One Depth Image Jason Rock, Tanmay Gupta, Justin Thorsen, JunYoung Gwak, Daeyun Shin, Derek Hoiem

WACV 2015 Family Member Identification from Photo Collections Qieyun Dai, Peter Carr, Leonid Sigal, Derek Hoiem

CVPR 2015 Learning a Sequential Search for Landmarks Saurabh Singh, Derek Hoiem, David Forsyth

CVPR 2013 Boundary Cues for 3D Object Shape Recovery Kevin Karsch, Zicheng Liao, Jason Rock, Jonathan T. Barron, Derek Hoiem

CVPR 2013 Learning Collections of Part Models for Object Recognition Ian Endres, Kevin J. Shih, Johnston Jiaa, Derek Hoiem

ICCV 2013 Support Surface Prediction in Indoor Scenes Ruiqi Guo, Derek Hoiem

CVPR 2012 A Data Driven Method for Feature Transformation Mert Dikmen, Derek Hoiem, Thomas S. Huang

ECCV 2012 Beyond the Line of Sight: Labeling the Underlying Surfaces Ruiqi Guo, Derek Hoiem

ECCV 2012 Diagnosing Error in Object Detectors Derek Hoiem, Yodsawalai Chodpathumwan, Qieyun Dai

ECCV 2012 Indoor Segmentation and Support Inference from RGBD Images Nathan Silberman, Derek Hoiem, Pushmeet Kohli, Rob Fergus

CVPR 2012 Learning Shared Body Plans Ian Endres, Vivek Srikumar, Ming-Wei Chang, Derek Hoiem

CVPR 2012 Learning to Localize Detected Objects Qieyun Dai, Derek Hoiem

CVPR 2012 Recovering Free Space of Indoor Scenes from a Single Image Varsha Hedau, Derek Hoiem, David A. Forsyth

CVPR 2011 Single-Image Shadow Detection and Removal Using Paired Regions Ruiqi Guo, Qieyun Dai, Derek Hoiem

CVPR 2010 Attribute-Centric Recognition for Cross-Category Generalization Ali Farhadi, Ian Endres, Derek Hoiem

ECCV 2010 Category Independent Object Proposals Ian Endres, Derek Hoiem

CVPR 2010 Comparative Object Similarity for Improved Recognition with Few or No Examples Gang Wang, David A. Forsyth, Derek Hoiem

CVPRW 2010 The Benefits and Challenges of Collecting Richer Object Annotations Ian Endres, Ali Farhadi, Derek Hoiem, David A. Forsyth

ECCV 2010 Thinking Inside the Box: Using Appearance Models and Context Based on Room Geometry Varsha Hedau, Derek Hoiem, David A. Forsyth

CVPR 2009 An Empirical Study of Context in Object Detection Santosh Kumar Divvala, Derek Hoiem, James Hays, Alexei A. Efros, Martial Hebert

CVPR 2009 Building Text Features for Object Image Classification Gang Wang, Derek Hoiem, David A. Forsyth

CVPR 2009 Describing Objects by Their Attributes Ali Farhadi, Ian Endres, Derek Hoiem, David A. Forsyth

ICCV 2009 Learning Image Similarity from Flickr Groups Using Stochastic Intersection Kernel MAchines Gang Wang, Derek Hoiem, David A. Forsyth

ICCV 2009 Recovering the Spatial Layout of Cluttered Rooms Varsha Hedau, Derek Hoiem, David A. Forsyth

CVPR 2008 Closing the Loop in Scene Interpretation Derek Hoiem, Alexei A. Efros, Martial Hebert

ECCV 2008 Learning CRFs Using Graph Cuts Martin Szummer, Pushmeet Kohli, Derek Hoiem

CVPR 2007 3D LayoutCRF for Multi-View Object Class Recognition and Segmentation Derek Hoiem, Carsten Rother, John M. Winn

ICCV 2007 Learning to Find Object Boundaries Using Motion Cues Andrew N. Stein, Derek Hoiem, Martial Hebert

ICCV 2007 Recovering Occlusion Boundaries from a Single Image Derek Hoiem, Andrew N. Stein, Alexei A. Efros, Martial Hebert

CVPR 2006 Putting Objects in Perspective Derek Hoiem, Alexei A. Efros, Martial Hebert

CVPRW 2006 Semantic Learning for Audio Applications: A Computer Vision Approach Rahul Sukthankar, Yan Ke, Derek Hoiem

CVPR 2005 Computer Vision for Music Identification Yan Ke, Derek Hoiem, Rahul Sukthankar

CVPR 2005 Computer Vision for Music Identification: Video Demonstration Yan Ke, Derek Hoiem, Rahul Sukthankar

ICCV 2005 Geometric Context from a Single Image Derek Hoiem, Alexei A. Efros, Martial Hebert

CVPR 2004 Object-Based Image Retrieval Using the Statistical Structure of Images Derek Hoiem, Rahul Sukthankar, Henry Schneiderman, Larry Huston