Derek Hoiem - RankMe

153 papers A* 44A 6Misc 1Journal 74Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Stress Tests REVEAL Fragile Temporal and Visual Grounding in Video-Language Models. CoRR Sethuraman TV, Savya Khosla, Aditi Tiwari, Vidya Ganesh, Rakshana Jayaprakash, Aditya Jain, Vignesh Srinivasakumar, Onkar Kishor Susladkar, Srinidhi Sunkara, Aditya Shanmugham, Rakesh Vaideeswaran, Abbaas Alif Mohamed Nishar, Simon Jenni, Derek Hoiem
2025	J	`jnl`	FRAME: Pre-Training Video Feature Representations via Anticipation and Memory. CoRR Sethuraman TV, Savya Khosla, Vignesh Srinivasakumar, Jiahui Huang, Seoung Wug Oh, Simon Jenni, Derek Hoiem, Joon-Young Lee
2025	J	`jnl`	How to Teach Large Multimodal Models New Skills. CoRR Zhen Zhu, Yiming Gong, Yao Xiao, Yaoyao Liu, Derek Hoiem
2025	—	`conf`	MonoPatchNeRF: Improving Neural Radiance Fields with Patch-Based Monocular Guidance. 3DV Yuqun Wu, Jae Yong Lee, Chuhang Zou, Shenlong Wang, Derek Hoiem
2025	J	`jnl`	PARTONOMY: Large Multimodal Models with Part-Level Visual Understanding. CoRR Ansel Blume, Jeonghwan Kim, Hyeonjeong Ha, Elen Chatikyan, Xiaomeng Jin, Khanh Duy Nguyen, Nanyun Peng, Kai-Wei Chang, Derek Hoiem, Heng Ji
2025	—	`conf`	Plenoptic PNG: Real-Time Neural Radiance Fields in 150 KB. 3DV Jae Yong Lee, Yuqun Wu, Chuhang Zou, Derek Hoiem, Shenlong Wang
2025	A*	`conf`	RELOCATE: A Simple Training-Free Baseline for Visual Query Localization Using Region-Based Representations. CVPR Savya Khosla, Sethuraman TV, Alexander G. Schwing, Derek Hoiem
2025	J	`jnl`	REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders. CoRR Savya Khosla, Sethuraman TV, Barnett Lee, Alexander G. Schwing, Derek Hoiem
2025	J	`jnl`	SceneDiff: A Benchmark and Method for Multiview Object Change Detection. CoRR Yuqun Wu, Chih-Hao Lin, Henry Che, Aditi Tiwari, Chuhang Zou, Shenlong Wang, Derek Hoiem
2025	J	`jnl`	TextRegion: Text-Aligned Region Tokens from Frozen Image-Text Models. CoRR Yao Xiao, Qiqian Fu, Heyi Tao, Yuqun Wu, Zhen Zhu, Derek Hoiem
2025	J	`jnl`	TextRegion: Text-Aligned Region Tokens from Frozen Image-Text Models. Trans. Mach. Learn. Res. Yao Xiao, Qiqian Fu, Heyi Tao, Yuqun Wu, Zhen Zhu, Derek Hoiem
2025	—	`conf`	Visual Program Distillation with Template-Based Augmentation. EMNLP (Findings) Michal Shlapentokh-Rothman, Yu-Xiong Wang, Derek Hoiem
2024	—	`conf`	Addressing Low-Shot MVS by Detecting and Completing Planar Surfaces. 3DV Rajbir Kataria, Zhizhong Li, Joseph DeGol, Derek Hoiem
2024	—	`conf`	Anytime Continual Learning for Open Vocabulary Classification. ECCV (6) Zhen Zhu, Yiming Gong, Derek Hoiem
2024	J	`jnl`	Anytime Continual Learning for Open Vocabulary Classification. CoRR Zhen Zhu, Yiming Gong, Derek Hoiem
2024	J	`jnl`	Can We Generate Visual Programs Without Prompting LLMs? CoRR Michal Shlapentokh-Rothman, Yu-Xiong Wang, Derek Hoiem
2024	A	`conf`	Consistent Multimodal Generation via A Unified GAN Framework. WACV Zhen Zhu, Yijun Li, Weijie Lyu, Krishna Kumar Singh, Zhixin Shu, Sören Pirk, Derek Hoiem
2024	J	`jnl`	Continual Learning in Open-vocabulary Classification with Complementary Memory Systems. Trans. Mach. Learn. Res. Zhen Zhu, Weijie Lyu, Yao Xiao, Derek Hoiem
2024	A*	`conf`	MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System. ACM Multimedia Ansel Blume, Khanh Duy Nguyen, Zhenhailong Wang, Yangyi Chen, Michal Shlapentokh-Rothman, Xiaomeng Jin, Jeonghwan Kim, Zhen Zhu, Jiateng Liu, Kuan-Hao Huang, Mankeerat Sidhu, Xuanming Zhang, Vivian Liu, Raunak Sinha, Te-Lin Wu, Abhay Zala, Elias Stengel-Eskin, Da Yin, Yao Xiao, Utkarsh Mall, Zhou Yu, Kai-Wei Chang, Camille Cobb, Karrie Karahalios, Lydia B. Chilton, Mohit Bansal, Nanyun Peng, Carl Vondrick, Derek Hoiem, Heng Ji
2024	J	`jnl`	MonoPatchNeRF: Improving Neural Radiance Fields with Patch-based Monocular Guidance. CoRR Yuqun Wu, Jae Yong Lee, Chuhang Zou, Shenlong Wang, Derek Hoiem
2024	J	`jnl`	Plenoptic PNG: Real-Time Neural Radiance Fields in 150 KB. CoRR Jae Yong Lee, Yuqun Wu, Chuhang Zou, Derek Hoiem, Shenlong Wang
2024	J	`jnl`	RELOCATE: A Simple Training-Free Baseline for Visual Query Localization Using Region-Based Representations. CoRR Savya Khosla, Sethuraman TV, Alexander G. Schwing, Derek Hoiem
2024	A*	`conf`	Region-Based Representations Revisited. CVPR Michal Shlapentokh-Rothman, Ansel Blume, Yao Xiao, Yuqun Wu, Sethuraman TV, Heyi Tao, Jae Yong Lee, Wilfredo Torres, Yu-Xiong Wang, Derek Hoiem
2024	J	`jnl`	Region-Based Representations Revisited. CoRR Michal Shlapentokh-Rothman, Ansel Blume, Yao Xiao, Yuqun Wu, Sethuraman TV, Heyi Tao, Jae Yong Lee, Wilfredo Torres, Yu-Xiong Wang, Derek Hoiem
2024	A*	`conf`	Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action. CVPR Jiasen Lu, Christopher Clark, Sangho Lee, Zichen Zhang, Savya Khosla, Ryan Marten, Derek Hoiem, Aniruddha Kembhavi
2024	—	`conf`	WebWISE: Unlocking Web Interface Control for LLMs via Sequential Exploration. NAACL-HLT (Findings) Heyi Tao, Sethuraman TV, Michal Shlapentokh-Rothman, Tanmay Gupta, Heng Ji, Derek Hoiem
2023	J	`jnl`	Consistent Multimodal Generation via A Unified GAN Framework. CoRR Zhen Zhu, Yijun Li, Weijie Lyu, Krishna Kumar Singh, Zhixin Shu, Sören Pirk, Derek Hoiem
2023	J	`jnl`	Continual Learning in Open-vocabulary Classification with Complementary Memory Systems. CoRR Zhen Zhu, Weijie Lyu, Yao Xiao, Derek Hoiem
2023	J	`jnl`	Make It So: Steering StyleGAN for Any Image Inversion and Editing. CoRR Anand Bhattad, Viraj Shah, Derek Hoiem, David A. Forsyth
2023	A*	`conf`	StyleGAN knows Normal, Depth, Albedo, and More. NeurIPS Anand Bhattad, Daniel McKee, Derek Hoiem, David A. Forsyth
2023	J	`jnl`	StyleGAN knows Normal, Depth, Albedo, and More. CoRR Anand Bhattad, Daniel McKee, Derek Hoiem, David A. Forsyth
2023	J	`jnl`	Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action. CoRR Jiasen Lu, Christopher Clark, Sangho Lee, Zichen Zhang, Savya Khosla, Ryan Marten, Derek Hoiem, Aniruddha Kembhavi
2023	A*	`conf`	ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation. EMNLP Yangyi Chen, Xingyao Wang, Manling Li, Derek Hoiem, Heng Ji
2023	J	`jnl`	ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation. CoRR Yangyi Chen, Xingyao Wang, Manling Li, Derek Hoiem, Heng Ji
2023	J	`jnl`	WebWISE: Web Interface Control and Sequential Exploration with Large Language Models. CoRR Heyi Tao, Sethuraman TV, Michal Shlapentokh-Rothman, Derek Hoiem
2022	J	`jnl`	Deep PatchMatch MVS with Learned Patch Coplanarity, Geometric Consistency and Adaptive Pixel Sampling. CoRR Jae Yong Lee, Chuhang Zou, Derek Hoiem
2022	J	`jnl`	GRIT: General Robust Image Task Benchmark. CoRR Tanmay Gupta, Ryan Marten, Aniruddha Kembhavi, Derek Hoiem
2022	A*	`conf`	Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners. NeurIPS 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
2022	J	`jnl`	Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners. CoRR 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
2022	J	`jnl`	QFF: Quantized Fourier Features for Neural Field Representations. CoRR Jae Yong Lee, Yuqun Wu, Chuhang Zou, Shenlong Wang, Derek Hoiem
2022	J	`jnl`	Sparse SPN: Depth Completion from Sparse Keypoints. CoRR Yuqun Wu, Jae Yong Lee, Derek Hoiem
2022	A*	`conf`	Towards General Purpose Vision Systems: An End-to-End Task-Agnostic Vision-Language Architecture. CVPR Tanmay Gupta, Amita Kamath, Aniruddha Kembhavi, Derek Hoiem
2022	—	`conf`	Webly Supervised Concept Expansion for General Purpose Vision Models. ECCV (36) Amita Kamath, Christopher Clark, Tanmay Gupta, Eric Kolve, Derek Hoiem, Aniruddha Kembhavi
2022	J	`jnl`	Webly Supervised Concept Expansion for General Purpose Vision Models. CoRR Amita Kamath, Christopher Clark, Tanmay Gupta, Eric Kolve, Derek Hoiem, Aniruddha Kembhavi
2021	J	`jnl`	Editorial: Introduction to the Special Section on CVPR2019 Best Papers. IEEE Trans. Pattern Anal. Mach. Intell. Gang Hua, Derek Hoiem, Abhinav Gupta, Zhuowen Tu
2021	A*	`conf`	Learning Curves for Analysis of Deep Networks. ICML Derek Hoiem, Tanmay Gupta, Zhizhong Li, Michal Shlapentokh-Rothman
2021	J	`jnl`	Manhattan Room Layout Reconstruction from a Single $360^{\circ }$ Image: A Comparative Study of State-of-the-Art Methods. Int. J. Comput. Vis. Chuhang Zou, Jheng-Wei Su, Chi-Han Peng, Alex Colburn, Qi Shan, Peter Wonka, Hung-Kuo Chu, Derek Hoiem
2021	A*	`conf`	PatchMatch-RL: Deep MVS with Pixelwise Depth, Normal, and Visibility. ICCV Jae Yong Lee, Joseph DeGol, Chuhang Zou, Derek Hoiem
2021	J	`jnl`	PatchMatch-RL: Deep MVS with Pixelwise Depth, Normal, and Visibility. CoRR Jae Yong Lee, Joseph DeGol, Chuhang Zou, Derek Hoiem
2021	A	`conf`	Task-Assisted Domain Adaptation with Anchor Tasks. WACV Zhizhong Li, Linjie Luo, Sergey Tulyakov, Qieyun Dai, Derek Hoiem
2021	J	`jnl`	Towards General Purpose Vision Systems. CoRR Tanmay Gupta, Amita Kamath, Aniruddha Kembhavi, Derek Hoiem
2020	—	`conf`	Contrastive Learning for Weakly Supervised Phrase Grounding. ECCV (3) Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem
2020	J	`jnl`	Contrastive Learning for Weakly Supervised Phrase Grounding. CoRR Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem
2020	A*	`conf`	Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion. CVPR Hongxu Yin, Pavlo Molchanov, José M. Álvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz
2020	A*	`conf`	Improving Confidence Estimates for Unfamiliar Examples. CVPR Zhizhong Li, Derek Hoiem
2020	—	`conf`	Improving Structure from Motion with Reliable Resectioning. 3DV Rajbir Kataria, Joseph DeGol, Derek Hoiem
2020	J	`jnl`	Learning Curves for Analysis of Deep Networks. CoRR Derek Hoiem, Tanmay Gupta, Zhizhong Li, Michal Shlapentokh-Rothman
2020	A	`conf`	Silhouette Guided Point Cloud Reconstruction beyond Occlusion. WACV Chuhang Zou, Derek Hoiem
2019	J	`jnl`	3D Manhattan Room Layout Reconstruction from a Single 360 Image. CoRR Chuhang Zou, Jheng-Wei Su, Chi-Han Peng, Alex Colburn, Qi Shan, Peter Wonka, Hung-Kuo Chu, Derek Hoiem
2019	J	`jnl`	Anchor Tasks: Inexpensive, Shared, and Aligned Tasks for Domain Adaptation. CoRR Zhizhong Li, Linjie Luo, Sergey Tulyakov, Qieyun Dai, Derek Hoiem
2019	J	`jnl`	Boundary Cues for 3D Object Shape Recovery. CoRR Kevin Karsch, Zicheng Liao, Jason Rock, Jonathan T. Barron, Derek Hoiem
2019	J	`jnl`	Complete 3D Scene Parsing from an RGBD Image. Int. J. Comput. Vis. Chuhang Zou, Ruiqi Guo, Zhizhong Li, Derek Hoiem
2019	J	`jnl`	Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion. CoRR Hongxu Yin, Pavlo Molchanov, Zhizhong Li, José M. Álvarez, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz
2019	A*	`conf`	No-Frills Human-Object Interaction Detection: Factorization, Layout Encodings, and Training Techniques. ICCV Tanmay Gupta, Alexander G. Schwing, Derek Hoiem
2019	J	`jnl`	Rendering Synthetic Objects into Legacy Photographs. CoRR Kevin Karsch, Varsha Hedau, David A. Forsyth, Derek Hoiem
2019	J	`jnl`	Silhouette Guided Point Cloud Reconstruction beyond Occlusion. CoRR Chuhang Zou, Derek Hoiem
2019	A*	`conf`	ViCo: Word Embeddings From Visual Co-Occurrences. ICCV Tanmay Gupta, Alexander G. Schwing, Derek Hoiem
2019	J	`jnl`	ViCo: Word Embeddings from Visual Co-occurrences. CoRR Tanmay Gupta, Alexander G. Schwing, Derek Hoiem
2018	—	`conf`	FEATS: Synthetic Feature Tracks for Structure from Motion Evaluation. 3DV Joseph DeGol, Jae Yong Lee, Rajbir Kataria, Daniel Yuan, Timothy Bretl, Derek Hoiem
2018	J	`jnl`	G-Distillation: Reducing Overconfident Errors on Novel Samples. CoRR Zhizhong Li, Derek Hoiem
2018	—	`conf`	Imagine This! Scripts to Compositions to Videos. ECCV (8) Tanmay Gupta, Dustin Schwenk, Ali Farhadi, Derek Hoiem, Aniruddha Kembhavi
2018	J	`jnl`	Imagine This! Scripts to Compositions to Videos. CoRR Tanmay Gupta, Dustin Schwenk, Ali Farhadi, Derek Hoiem, Aniruddha Kembhavi
2018	—	`conf`	Improved Structure from Motion Using Fiducial Marker Matching. ECCV (3) Joseph DeGol, Timothy Bretl, Derek Hoiem
2018	A*	`conf`	LayoutNet: Reconstructing the 3D Room Layout From a Single RGB Image. CVPR Chuhang Zou, Alex Colburn, Qi Shan, Derek Hoiem
2018	J	`jnl`	LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image. CoRR Chuhang Zou, Alex Colburn, Qi Shan, Derek Hoiem
2018	J	`jnl`	Learning without Forgetting. IEEE Trans. Pattern Anal. Mach. Intell. Zhizhong Li, Derek Hoiem
2018	J	`jnl`	No-Frills Human-Object Interaction Detection: Factorization, Appearance and Layout Encodings, and Training Techniques. CoRR Tanmay Gupta, Alexander G. Schwing, Derek Hoiem
2018	A*	`conf`	Pixels, Voxels, and Views: A Study of Shape Representations for Single View 3D Object Shape Prediction. CVPR Daeyun Shin, Charless C. Fowlkes, Derek Hoiem
2018	J	`jnl`	Pixels, voxels, and views: A study of shape representations for single view 3D object shape prediction. CoRR Daeyun Shin, Charless C. Fowlkes, Derek Hoiem
2017	A*	`conf`	3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks. ICCV Chuhang Zou, Ersin Yumer, Jimei Yang, Duygu Ceylan, Derek Hoiem
2017	J	`jnl`	3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks. CoRR Chuhang Zou, Ersin Yumer, Jimei Yang, Duygu Ceylan, Derek Hoiem
2017	A*	`conf`	Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks. ICCV Tanmay Gupta, Kevin J. Shih, Saurabh Singh, Derek Hoiem
2017	J	`jnl`	Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks. CoRR Tanmay Gupta, Kevin J. Shih, Saurabh Singh, Derek Hoiem
2017	A*	`conf`	ChromaTag: A Colored Marker and Fast Detection Algorithm. ICCV Joseph DeGol, Timothy Bretl, Derek Hoiem
2017	J	`jnl`	ChromaTag: A Colored Marker and Fast Detection Algorithm. CoRR Joseph DeGol, Timothy Bretl, Derek Hoiem
2017	J	`jnl`	Complete 3D Scene Parsing from Single RGBD Image. CoRR Chuhang Zou, Zhizhong Li, Derek Hoiem
2016	J	`jnl`	3DFS: Deformable Dense Depth Fusion and Segmentation for Object Reconstruction from a Handheld Camera. CoRR Tanmay Gupta, Daeyun Shin, Naren Sivagnanadasan, Derek Hoiem
2016	A*	`conf`	Geometry-Informed Material Recognition. CVPR Joseph DeGol, Mani Golparvar Fard, Derek Hoiem
2016	J	`jnl`	Geometry-Informed Material Recognition. CoRR Joseph DeGol, Mani Golparvar Fard, Derek Hoiem
2016	—	`conf`	Learning Without Forgetting. ECCV (4) Zhizhong Li, Derek Hoiem
2016	A*	`conf`	Learning to Localize Little Landmarks. CVPR Saurabh Singh, Derek Hoiem, David A. Forsyth
2016	J	`jnl`	Learning without Forgetting. CoRR Zhizhong Li, Derek Hoiem
2016	—	`conf`	Swapout: Learning an ensemble of deep architectures. NIPS Saurabh Singh, Derek Hoiem, David A. Forsyth
2016	J	`jnl`	Swapout: Learning an ensemble of deep architectures. CoRR Saurabh Singh, Derek Hoiem, David A. Forsyth
2016	A*	`conf`	Where to Look: Focus Regions for Visual Question Answering. CVPR Kevin J. Shih, Saurabh Singh, Derek Hoiem
2015	A*	`conf`	Completing 3D object shape from one depth image. CVPR Jason Rock, Tanmay Gupta, Justin Thorsen, JunYoung Gwak, Daeyun Shin, Derek Hoiem
2015	A	`conf`	Family Member Identification from Photo Collections. WACV Qieyun Dai, Peter Carr, Leonid Sigal, Derek Hoiem
2015	J	`jnl`	Guest Editorial: Scene Understanding. Int. J. Comput. Vis. Derek Hoiem, James Hays, Jianxiong Xiao, Aditya Khosla
2015	J	`jnl`	Labeling Complete Surfaces in Scene Understanding. Int. J. Comput. Vis. Ruiqi Guo, Derek Hoiem
2015	J	`jnl`	Learning Discriminative Collections of Part Detectors for Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Kevin J. Shih, Ian Endres, Derek Hoiem
2015	A*	`conf`	Learning a sequential search for landmarks. CVPR Saurabh Singh, Derek Hoiem, David A. Forsyth
2015	A	`conf`	Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization. BMVC Kevin J. Shih, Arun Mallya, Saurabh Singh, Derek Hoiem
2015	J	`jnl`	Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization. CoRR Kevin J. Shih, Arun Mallya, Saurabh Singh, Derek Hoiem
2015	J	`jnl`	Predicting Complete 3D Models of Indoor Scenes. CoRR Ruiqi Guo, Chuhang Zou, Derek Hoiem
2015	J	`jnl`	Where To Look: Focus Regions for Visual Question Answering. CoRR Kevin J. Shih, Saurabh Singh, Derek Hoiem
2014	J	`jnl`	Category-Independent Object Proposals with Diverse Ranking. IEEE Trans. Pattern Anal. Mach. Intell. Ian Endres, Derek Hoiem
2013	A*	`conf`	Boundary Cues for 3D Object Shape Recovery. CVPR Kevin Karsch, Zicheng Liao, Jason Rock, Jonathan T. Barron, Derek Hoiem
2013	J	`jnl`	Improved Object Categorization and Detection Using Comparative Object Similarity. IEEE Trans. Pattern Anal. Mach. Intell. Gang Wang, David A. Forsyth, Derek Hoiem
2013	A*	`conf`	Learning Collections of Part Models for Object Recognition. CVPR Ian Endres, Kevin J. Shih, Johnston Jiaa, Derek Hoiem
2013	J	`jnl`	Paired Regions for Shadow Detection and Removal. IEEE Trans. Pattern Anal. Mach. Intell. Ruiqi Guo, Qieyun Dai, Derek Hoiem
2013	A*	`conf`	Support Surface Prediction in Indoor Scenes. ICCV Ruiqi Guo, Derek Hoiem
2012	A*	`conf`	A data driven method for feature transformation. CVPR Mert Dikmen, Derek Hoiem, Thomas S. Huang
2012	—	`conf`	Beyond the Line of Sight: Labeling the Underlying Surfaces. ECCV (5) Ruiqi Guo, Derek Hoiem
2012	—	`conf`	Diagnosing Error in Object Detectors. ECCV (3) Derek Hoiem, Yodsawalai Chodpathumwan, Qieyun Dai
2012	—	`conf`	Indoor Segmentation and Support Inference from RGBD Images. ECCV (5) Nathan Silberman, Derek Hoiem, Pushmeet Kohli, Rob Fergus
2012	J	`jnl`	Learning Image Similarity from Flickr Groups Using Fast Kernel Machines. IEEE Trans. Pattern Anal. Mach. Intell. Gang Wang, Derek Hoiem, David A. Forsyth
2012	A*	`conf`	Learning shared body plans. CVPR Ian Endres, Vivek Srikumar, Ming-Wei Chang, Derek Hoiem
2012	A*	`conf`	Learning to localize detected objects. CVPR Qieyun Dai, Derek Hoiem
2012	A*	`conf`	Recovering free space of indoor scenes from a single image. CVPR Varsha Hedau, Derek Hoiem, David A. Forsyth
2011	J	`jnl`	Recovering Occlusion Boundaries from an Image. Int. J. Comput. Vis. Derek Hoiem, Alexei A. Efros, Martial Hebert
2011	J	`jnl`	Rendering synthetic objects into legacy photographs. ACM Trans. Graph. Kevin Karsch, Varsha Hedau, David A. Forsyth, Derek Hoiem
2011	—	`book`	Representations and Techniques for 3D Object Recognition and Scene Interpretation Derek Hoiem, Silvio Savarese
2011	A*	`conf`	Single-image shadow detection and removal using paired regions. CVPR Ruiqi Guo, Qieyun Dai, Derek Hoiem
2010	A*	`conf`	Attribute-centric recognition for cross-category generalization. CVPR Ali Farhadi, Ian Endres, Derek Hoiem
2010	—	`conf`	Category Independent Object Proposals. ECCV (5) Ian Endres, Derek Hoiem
2010	A*	`conf`	Comparative object similarity for improved recognition with few or no examples. CVPR Gang Wang, David A. Forsyth, Derek Hoiem
2010	J	`jnl`	It's All About the Data. Proc. IEEE Tamara L. Berg, Alexander Sorokin, Gang Wang, David A. Forsyth, Derek Hoiem, Ian Endres, Ali Farhadi
2010	—	`conf`	The benefits and challenges of collecting richer object annotations. CVPR Workshops Ian Endres, Ali Farhadi, Derek Hoiem, David A. Forsyth
2010	—	`conf`	Thinking Inside the Box: Using Appearance Models and Context Based on Room Geometry. ECCV (6) Varsha Hedau, Derek Hoiem, David A. Forsyth
2009	A*	`conf`	An empirical study of context in object detection. CVPR Santosh Kumar Divvala, Derek Hoiem, James Hays, Alexei A. Efros, Martial Hebert
2009	A*	`conf`	Building text features for object image classification. CVPR Gang Wang, Derek Hoiem, David A. Forsyth
2009	A*	`conf`	Describing objects by their attributes. CVPR Ali Farhadi, Ian Endres, Derek Hoiem, David A. Forsyth
2009	A*	`conf`	Learning image similarity from Flickr groups using Stochastic Intersection Kernel MAchines. ICCV Gang Wang, Derek Hoiem, David A. Forsyth
2009	A*	`conf`	Recovering the spatial layout of cluttered rooms. ICCV Varsha Hedau, Derek Hoiem, David A. Forsyth
2008	A*	`conf`	Closing the loop in scene interpretation. CVPR Derek Hoiem, Alexei A. Efros, Martial Hebert
2008	—	`conf`	Learning CRFs Using Graph Cuts. ECCV (2) Martin Szummer, Pushmeet Kohli, Derek Hoiem
2008	J	`jnl`	Putting Objects in Perspective. Int. J. Comput. Vis. Derek Hoiem, Alexei A. Efros, Martial Hebert
2007	A*	`conf`	3D LayoutCRF for Multi-View Object Class Recognition and Segmentation. CVPR Derek Hoiem, Carsten Rother, John M. Winn
2007	A*	`conf`	Learning to Find Object Boundaries Using Motion Cues. ICCV Andrew N. Stein, Derek Hoiem, Martial Hebert
2007	J	`jnl`	Photo clip art. ACM Trans. Graph. Jean-François Lalonde, Derek Hoiem, Alexei A. Efros, Carsten Rother, John M. Winn, Antonio Criminisi
2007	A*	`conf`	Recovering Occlusion Boundaries from a Single Image. ICCV Derek Hoiem, Andrew N. Stein, Alexei A. Efros, Martial Hebert
2007	J	`jnl`	Recovering Surface Layout from an Image. Int. J. Comput. Vis. Derek Hoiem, Alexei A. Efros, Martial Hebert
2006	A	`conf`	Opportunistic Use of Vision to Push Back the Path-Planning Horizon. IROS Bart C. Nabbe, Derek Hoiem, Alexei A. Efros, Martial Hebert
2006	—	`conf`	Putting Objects in Perspective. CVPR (2) Derek Hoiem, Alexei A. Efros, Martial Hebert
2006	—	`conf`	Semantic Learning for Audio Applications: A Computer Vision Approach. CVPR Workshops Rahul Sukthankar, Yan Ke, Derek Hoiem
2005	J	`jnl`	Automatic photo pop-up. ACM Trans. Graph. Derek Hoiem, Alexei A. Efros, Martial Hebert
2005	—	`conf`	Computer Vision for Music Identification. CVPR (1) Yan Ke, Derek Hoiem, Rahul Sukthankar
2005	—	`conf`	Computer Vision for Music Identification: Video Demonstration. CVPR (2) Yan Ke, Derek Hoiem, Rahul Sukthankar
2005	A*	`conf`	Geometric Context from a Single Image. ICCV Derek Hoiem, Alexei A. Efros, Martial Hebert
2005	—	`conf`	SOLAR: sound object localization and retrieval in complex audio environments. ICASSP (5) Derek Hoiem, Yan Ke, Rahul Sukthankar
2004	—	`conf`	Object-Based Image Retrieval Using the Statistical Structure of Images. CVPR (2) Derek Hoiem, Rahul Sukthankar, Henry Schneiderman, Larry Huston
2004	Misc	`conf`	SnapFind: brute force interactive image retrieval. ICIG Larry Huston, Rahul Sukthankar, Derek Hoiem, Jiaying Zhang
1994	J	`jnl`	Designing and using integrated data collection and analysis tools: challenges and considerations. Behav. Inf. Technol. Derek Hoiem, Kent D. Sullivan