Derek Hoiem

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 73

Top Venues

Publications

Rajbir Kataria, Zhizhong Li, Joseph DeGol, Derek Hoiem
Addressing Low-Shot MVS by Detecting and Completing Planar Surfaces. 3DV (2024)
Yuqun Wu, Jae Yong Lee, Chuhang Zou, Shenlong Wang, Derek Hoiem
MonoPatchNeRF: Improving Neural Radiance Fields with Patch-based Monocular Guidance. CoRR (2024)
Michal Shlapentokh-Rothman, Ansel Blume, Yao Xiao, Yuqun Wu, Sethuraman TV, Heyi Tao, Jae Yong Lee, Wilfredo Torres, Yu-Xiong Wang, Derek Hoiem
Region-Based Representations Revisited. CoRR (2024)
Zhen Zhu, Yijun Li, Weijie Lyu, Krishna Kumar Singh, Zhixin Shu, Sören Pirk, Derek Hoiem
Consistent Multimodal Generation via A Unified GAN Framework. WACV (2024)
Anand Bhattad, Daniel McKee, Derek Hoiem, David A. Forsyth
StyleGAN knows Normal, Depth, Albedo, and More. NeurIPS (2023)
Zhen Zhu, Yijun Li, Weijie Lyu, Krishna Kumar Singh, Zhixin Shu, Sören Pirk, Derek Hoiem
Consistent Multimodal Generation via A Unified GAN Framework. CoRR (2023)
Yangyi Chen, Xingyao Wang, Manling Li, Derek Hoiem, Heng Ji
ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation. EMNLP (2023)
Anand Bhattad, Viraj Shah, Derek Hoiem, David A. Forsyth
Make It So: Steering StyleGAN for Any Image Inversion and Editing. CoRR (2023)
Zhen Zhu, Weijie Lyu, Yao Xiao, Derek Hoiem
Continual Learning in Open-vocabulary Classification with Complementary Memory Systems. CoRR (2023)
Anand Bhattad, Daniel McKee, Derek Hoiem, David A. Forsyth
StyleGAN knows Normal, Depth, Albedo, and More. CoRR (2023)
Jiasen Lu, Christopher Clark, Sangho Lee, Zichen Zhang, Savya Khosla, Ryan Marten, Derek Hoiem, Aniruddha Kembhavi
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action. CoRR (2023)
Heyi Tao, Sethuraman TV, Michal Shlapentokh-Rothman, Derek Hoiem
WebWISE: Web Interface Control and Sequential Exploration with Large Language Models. CoRR (2023)
Yangyi Chen, Xingyao Wang, Manling Li, Derek Hoiem, Heng Ji
ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation. CoRR (2023)
Amita Kamath, Christopher Clark, Tanmay Gupta, Eric Kolve, Derek Hoiem, Aniruddha Kembhavi
Webly Supervised Concept Expansion for General Purpose Vision Models. ECCV (36) (2022)
Jae Yong Lee, Yuqun Wu, Chuhang Zou, Shenlong Wang, Derek Hoiem
QFF: Quantized Fourier Features for Neural Field Representations. CoRR (2022)
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
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners. CoRR (2022)
Amita Kamath, Christopher Clark, Tanmay Gupta, Eric Kolve, Derek Hoiem, Aniruddha Kembhavi
Webly Supervised Concept Expansion for General Purpose Vision Models. CoRR (2022)
Yuqun Wu, Jae Yong Lee, Derek Hoiem
Sparse SPN: Depth Completion from Sparse Keypoints. CoRR (2022)
Tanmay Gupta, Amita Kamath, Aniruddha Kembhavi, Derek Hoiem
Towards General Purpose Vision Systems: An End-to-End Task-Agnostic Vision-Language Architecture. CVPR (2022)
Tanmay Gupta, Ryan Marten, Aniruddha Kembhavi, Derek Hoiem
GRIT: General Robust Image Task Benchmark. CoRR (2022)
Jae Yong Lee, Chuhang Zou, Derek Hoiem
Deep PatchMatch MVS with Learned Patch Coplanarity, Geometric Consistency and Adaptive Pixel Sampling. CoRR (2022)
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
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners. NeurIPS (2022)
Chuhang Zou, Jheng-Wei Su, Chi-Han Peng, Alex Colburn, Qi Shan, Peter Wonka, Hung-Kuo Chu, Derek Hoiem
Manhattan Room Layout Reconstruction from a Single $360^{\circ }$ Image: A Comparative Study of State-of-the-Art Methods. Int. J. Comput. Vis. 129 (5) (2021)
Derek Hoiem, Tanmay Gupta, Zhizhong Li, Michal Shlapentokh-Rothman
Learning Curves for Analysis of Deep Networks. ICML (2021)
Jae Yong Lee, Joseph DeGol, Chuhang Zou, Derek Hoiem
PatchMatch-RL: Deep MVS with Pixelwise Depth, Normal, and Visibility. ICCV (2021)
Zhizhong Li, Linjie Luo, Sergey Tulyakov, Qieyun Dai, Derek Hoiem
Task-Assisted Domain Adaptation with Anchor Tasks. WACV (2021)
Gang Hua, Derek Hoiem, Abhinav Gupta, Zhuowen Tu
Editorial: Introduction to the Special Section on CVPR2019 Best Papers. IEEE Trans. Pattern Anal. Mach. Intell. 43 (12) (2021)
Tanmay Gupta, Amita Kamath, Aniruddha Kembhavi, Derek Hoiem
Towards General Purpose Vision Systems. CoRR (2021)
Jae Yong Lee, Joseph DeGol, Chuhang Zou, Derek Hoiem
PatchMatch-RL: Deep MVS with Pixelwise Depth, Normal, and Visibility. CoRR (2021)
Hongxu Yin, Pavlo Molchanov, Jose M. Alvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz
Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion. CVPR (2020)
Zhizhong Li, Derek Hoiem
Improving Confidence Estimates for Unfamiliar Examples. CVPR (2020)
Rajbir Kataria, Joseph DeGol, Derek Hoiem
Improving Structure from Motion with Reliable Resectioning. 3DV (2020)
Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem
Contrastive Learning for Weakly Supervised Phrase Grounding. ECCV (3) (2020)
Derek Hoiem, Tanmay Gupta, Zhizhong Li, Michal Shlapentokh-Rothman
Learning Curves for Analysis of Deep Networks. CoRR (2020)
Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem
Contrastive Learning for Weakly Supervised Phrase Grounding. CoRR (2020)
Chuhang Zou, Derek Hoiem
Silhouette Guided Point Cloud Reconstruction beyond Occlusion. WACV (2020)
Chuhang Zou, Ruiqi Guo, Zhizhong Li, Derek Hoiem
Complete 3D Scene Parsing from an RGBD Image. Int. J. Comput. Vis. 127 (2) (2019)
Chuhang Zou, Derek Hoiem
Silhouette Guided Point Cloud Reconstruction beyond Occlusion. CoRR (2019)
Kevin Karsch, Zicheng Liao, Jason Rock, Jonathan T. Barron, Derek Hoiem
Boundary Cues for 3D Object Shape Recovery. CoRR (2019)
Tanmay Gupta, Alexander G. Schwing, Derek Hoiem
No-Frills Human-Object Interaction Detection: Factorization, Layout Encodings, and Training Techniques. ICCV (2019)
Tanmay Gupta, Alexander G. Schwing, Derek Hoiem
ViCo: Word Embeddings From Visual Co-Occurrences. ICCV (2019)
Hongxu Yin, Pavlo Molchanov, Zhizhong Li, Jose M. Alvarez, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion. CoRR (2019)
Zhizhong Li, Linjie Luo, Sergey Tulyakov, Qieyun Dai, Derek Hoiem
Anchor Tasks: Inexpensive, Shared, and Aligned Tasks for Domain Adaptation. CoRR (2019)
Tanmay Gupta, Alexander G. Schwing, Derek Hoiem
ViCo: Word Embeddings from Visual Co-occurrences. CoRR (2019)
Kevin Karsch, Varsha Hedau, David A. Forsyth, Derek Hoiem
Rendering Synthetic Objects into Legacy Photographs. CoRR (2019)
Chuhang Zou, Jheng-Wei Su, Chi-Han Peng, Alex Colburn, Qi Shan, Peter Wonka, Hung-Kuo Chu, Derek Hoiem
3D Manhattan Room Layout Reconstruction from a Single 360 Image. CoRR (2019)
Zhizhong Li, Derek Hoiem
G-Distillation: Reducing Overconfident Errors on Novel Samples. CoRR (2018)
Zhizhong Li, Derek Hoiem
Learning without Forgetting. IEEE Trans. Pattern Anal. Mach. Intell. 40 (12) (2018)
Daeyun Shin, Charless C. Fowlkes, Derek Hoiem
Pixels, Voxels, and Views: A Study of Shape Representations for Single View 3D Object Shape Prediction. CVPR (2018)
Joseph DeGol, Timothy Bretl, Derek Hoiem
Improved Structure from Motion Using Fiducial Marker Matching. ECCV (3) (2018)
Tanmay Gupta, Dustin Schwenk, Ali Farhadi, Derek Hoiem, Aniruddha Kembhavi
Imagine This! Scripts to Compositions to Videos. ECCV (8) (2018)
Daeyun Shin, Charless C. Fowlkes, Derek Hoiem
Pixels, voxels, and views: A study of shape representations for single view 3D object shape prediction. CoRR (2018)
Chuhang Zou, Alex Colburn, Qi Shan, Derek Hoiem
LayoutNet: Reconstructing the 3D Room Layout From a Single RGB Image. CVPR (2018)
Chuhang Zou, Alex Colburn, Qi Shan, Derek Hoiem
LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image. CoRR (2018)
Joseph DeGol, Jae Yong Lee, Rajbir Kataria, Daniel Yuan, Timothy Bretl, Derek Hoiem
FEATS: Synthetic Feature Tracks for Structure from Motion Evaluation. 3DV (2018)
Tanmay Gupta, Alexander G. Schwing, Derek Hoiem
No-Frills Human-Object Interaction Detection: Factorization, Appearance and Layout Encodings, and Training Techniques. CoRR (2018)
Tanmay Gupta, Dustin Schwenk, Ali Farhadi, Derek Hoiem, Aniruddha Kembhavi
Imagine This! Scripts to Compositions to Videos. CoRR (2018)
Chuhang Zou, Ersin Yumer, Jimei Yang, Duygu Ceylan, Derek Hoiem
3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks. ICCV (2017)
Tanmay Gupta, Kevin J. Shih, Saurabh Singh, Derek Hoiem
Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks. CoRR (2017)
Tanmay Gupta, Kevin J. Shih, Saurabh Singh, Derek Hoiem
Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks. ICCV (2017)
Joseph DeGol, Timothy Bretl, Derek Hoiem
ChromaTag: A Colored Marker and Fast Detection Algorithm. ICCV (2017)
Chuhang Zou, Zhizhong Li, Derek Hoiem
Complete 3D Scene Parsing from Single RGBD Image. CoRR (2017)
Joseph DeGol, Timothy Bretl, Derek Hoiem
ChromaTag: A Colored Marker and Fast Detection Algorithm. CoRR (2017)
Chuhang Zou, Ersin Yumer, Jimei Yang, Duygu Ceylan, Derek Hoiem
3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks. CoRR (2017)
Kevin J. Shih, Saurabh Singh, Derek Hoiem
Where to Look: Focus Regions for Visual Question Answering. CVPR (2016)
Joseph DeGol, Mani Golparvar Fard, Derek Hoiem
Geometry-Informed Material Recognition. CoRR (2016)
Joseph DeGol, Mani Golparvar Fard, Derek Hoiem
Geometry-Informed Material Recognition. CVPR (2016)
Saurabh Singh, Derek Hoiem, David A. Forsyth
Swapout: Learning an ensemble of deep architectures. NIPS (2016)
Saurabh Singh, Derek Hoiem, David A. Forsyth
Swapout: Learning an ensemble of deep architectures. CoRR (2016)
Zhizhong Li, Derek Hoiem
Learning without Forgetting. CoRR (2016)
Zhizhong Li, Derek Hoiem
Learning Without Forgetting. ECCV (4) (2016)
Saurabh Singh, Derek Hoiem, David A. Forsyth
Learning to Localize Little Landmarks. CVPR (2016)
Tanmay Gupta, Daeyun Shin, Naren Sivagnanadasan, Derek Hoiem
3DFS: Deformable Dense Depth Fusion and Segmentation for Object Reconstruction from a Handheld Camera. CoRR (2016)
Kevin J. Shih, Saurabh Singh, Derek Hoiem
Where To Look: Focus Regions for Visual Question Answering. CoRR (2015)
Kevin J. Shih, Arun Mallya, Saurabh Singh, Derek Hoiem
Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization. CoRR (2015)
Kevin J. Shih, Arun Mallya, Saurabh Singh, Derek Hoiem
Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization. BMVC (2015)
Derek Hoiem, James Hays, Jianxiong Xiao, Aditya Khosla
Guest Editorial: Scene Understanding. Int. J. Comput. Vis. 112 (2) (2015)
Ruiqi Guo, Derek Hoiem
Labeling Complete Surfaces in Scene Understanding. Int. J. Comput. Vis. 112 (2) (2015)
Jason Rock, Tanmay Gupta, Justin Thorsen, JunYoung Gwak, Daeyun Shin, Derek Hoiem
Completing 3D object shape from one depth image. CVPR (2015)
Saurabh Singh, Derek Hoiem, David A. Forsyth
Learning a sequential search for landmarks. CVPR (2015)
Ruiqi Guo, Chuhang Zou, Derek Hoiem
Predicting Complete 3D Models of Indoor Scenes. CoRR (2015)
Kevin J. Shih, Ian Endres, Derek Hoiem
Learning Discriminative Collections of Part Detectors for Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37 (8) (2015)
Qieyun Dai, Peter Carr, Leonid Sigal, Derek Hoiem
Family Member Identification from Photo Collections. WACV (2015)
Ian Endres, Derek Hoiem
Category-Independent Object Proposals with Diverse Ranking. IEEE Trans. Pattern Anal. Mach. Intell. 36 (2) (2014)
Kevin Karsch, Zicheng Liao, Jason Rock, Jonathan T. Barron, Derek Hoiem
Boundary Cues for 3D Object Shape Recovery. CVPR (2013)
Ian Endres, Kevin J. Shih, Johnston Jiaa, Derek Hoiem
Learning Collections of Part Models for Object Recognition. CVPR (2013)
Ruiqi Guo, Derek Hoiem
Support Surface Prediction in Indoor Scenes. ICCV (2013)
Ruiqi Guo, Qieyun Dai, Derek Hoiem
Paired Regions for Shadow Detection and Removal. IEEE Trans. Pattern Anal. Mach. Intell. 35 (12) (2013)
Gang Wang, David A. Forsyth, Derek Hoiem
Improved Object Categorization and Detection Using Comparative Object Similarity. IEEE Trans. Pattern Anal. Mach. Intell. 35 (10) (2013)
Mert Dikmen, Derek Hoiem, Thomas S. Huang
A data driven method for feature transformation. CVPR (2012)
Ruiqi Guo, Derek Hoiem
Beyond the Line of Sight: Labeling the Underlying Surfaces. ECCV (5) (2012)
Qieyun Dai, Derek Hoiem
Learning to localize detected objects. CVPR (2012)
Derek Hoiem, Yodsawalai Chodpathumwan, Qieyun Dai
Diagnosing Error in Object Detectors. ECCV (3) (2012)
Ian Endres, Vivek Srikumar, Ming-Wei Chang, Derek Hoiem
Learning shared body plans. CVPR (2012)
Gang Wang, Derek Hoiem, David A. Forsyth
Learning Image Similarity from Flickr Groups Using Fast Kernel Machines. IEEE Trans. Pattern Anal. Mach. Intell. 34 (11) (2012)
Nathan Silberman, Derek Hoiem, Pushmeet Kohli, Rob Fergus
Indoor Segmentation and Support Inference from RGBD Images. ECCV (5) (2012)
Varsha Hedau, Derek Hoiem, David A. Forsyth
Recovering free space of indoor scenes from a single image. CVPR (2012)
Derek Hoiem, Alexei A. Efros, Martial Hebert
Recovering Occlusion Boundaries from an Image. Int. J. Comput. Vis. 91 (3) (2011)
Ruiqi Guo, Qieyun Dai, Derek Hoiem
Single-image shadow detection and removal using paired regions. CVPR (2011)
Kevin Karsch, Varsha Hedau, David A. Forsyth, Derek Hoiem
Rendering synthetic objects into legacy photographs. ACM Trans. Graph. 30 (6) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Derek Hoiem