default search action
Derek Hoiem
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [c74]Rajbir Kataria, Zhizhong Li, Joseph DeGol, Derek Hoiem:
Addressing Low-Shot MVS by Detecting and Completing Planar Surfaces. 3DV 2024: 549-558 - [c73]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. CVPR 2024: 17107-17116 - [c72]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. CVPR 2024: 26429-26445 - [c71]Zhen Zhu, Yiming Gong, Derek Hoiem:
Anytime Continual Learning for Open Vocabulary Classification. ECCV (6) 2024: 269-285 - [c70]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:
MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System. ACM Multimedia 2024: 11252-11254 - [c69]Heyi Tao, Sethuraman TV, Michal Shlapentokh-Rothman, Tanmay Gupta, Heng Ji, Derek Hoiem:
WebWISE: Unlocking Web Interface Control for LLMs via Sequential Exploration. NAACL-HLT (Findings) 2024: 3693-3711 - [c68]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: 5036-5045 - [i44]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 abs/2402.02352 (2024) - [i43]Yuqun Wu, Jae Yong Lee, Chuhang Zou, Shenlong Wang, Derek Hoiem:
MonoPatchNeRF: Improving Neural Radiance Fields with Patch-based Monocular Guidance. CoRR abs/2404.08252 (2024) - [i42]Zhen Zhu, Yiming Gong, Derek Hoiem:
Anytime Continual Learning for Open Vocabulary Classification. CoRR abs/2409.08518 (2024) - [i41]Jae Yong Lee, Yuqun Wu, Chuhang Zou, Derek Hoiem, Shenlong Wang:
Plenoptic PNG: Real-Time Neural Radiance Fields in 150 KB. CoRR abs/2409.15689 (2024) - 2023
- [c67]Yangyi Chen, Xingyao Wang, Manling Li, Derek Hoiem, Heng Ji:
ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation. EMNLP 2023: 13342-13357 - [c66]Anand Bhattad, Daniel McKee, Derek Hoiem, David A. Forsyth:
StyleGAN knows Normal, Depth, Albedo, and More. NeurIPS 2023 - [i40]Anand Bhattad, Viraj Shah, Derek Hoiem, David A. Forsyth:
Make It So: Steering StyleGAN for Any Image Inversion and Editing. CoRR abs/2304.14403 (2023) - [i39]Anand Bhattad, Daniel McKee, Derek Hoiem, David A. Forsyth:
StyleGAN knows Normal, Depth, Albedo, and More. CoRR abs/2306.00987 (2023) - [i38]Zhen Zhu, Yijun Li, Weijie Lyu, Krishna Kumar Singh, Zhixin Shu, Sören Pirk, Derek Hoiem:
Consistent Multimodal Generation via A Unified GAN Framework. CoRR abs/2307.01425 (2023) - [i37]Zhen Zhu, Weijie Lyu, Yao Xiao, Derek Hoiem:
Continual Learning in Open-vocabulary Classification with Complementary Memory Systems. CoRR abs/2307.01430 (2023) - [i36]Heyi Tao, Sethuraman TV, Michal Shlapentokh-Rothman, Derek Hoiem:
WebWISE: Web Interface Control and Sequential Exploration with Large Language Models. CoRR abs/2310.16042 (2023) - [i35]Yangyi Chen, Xingyao Wang, Manling Li, Derek Hoiem, Heng Ji:
ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation. CoRR abs/2311.13258 (2023) - [i34]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 abs/2312.17172 (2023) - 2022
- [c65]Tanmay Gupta, Amita Kamath, Aniruddha Kembhavi, Derek Hoiem:
Towards General Purpose Vision Systems: An End-to-End Task-Agnostic Vision-Language Architecture. CVPR 2022: 16378-16388 - [c64]Amita Kamath, Christopher Clark, Tanmay Gupta, Eric Kolve, Derek Hoiem, Aniruddha Kembhavi:
Webly Supervised Concept Expansion for General Purpose Vision Models. ECCV (36) 2022: 662-681 - [c63]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 - [i33]Amita Kamath, Christopher Clark, Tanmay Gupta, Eric Kolve, Derek Hoiem, Aniruddha Kembhavi:
Webly Supervised Concept Expansion for General Purpose Vision Models. CoRR abs/2202.02317 (2022) - [i32]Tanmay Gupta, Ryan Marten, Aniruddha Kembhavi, Derek Hoiem:
GRIT: General Robust Image Task Benchmark. CoRR abs/2204.13653 (2022) - [i31]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 abs/2205.10747 (2022) - [i30]Jae Yong Lee, Chuhang Zou, Derek Hoiem:
Deep PatchMatch MVS with Learned Patch Coplanarity, Geometric Consistency and Adaptive Pixel Sampling. CoRR abs/2210.07582 (2022) - [i29]Jae Yong Lee, Yuqun Wu, Chuhang Zou, Shenlong Wang, Derek Hoiem:
QFF: Quantized Fourier Features for Neural Field Representations. CoRR abs/2212.00914 (2022) - [i28]Yuqun Wu, Jae Yong Lee, Derek Hoiem:
Sparse SPN: Depth Completion from Sparse Keypoints. CoRR abs/2212.00987 (2022) - 2021
- [j19]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): 1410-1431 (2021) - [j18]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): 4203-4204 (2021) - [c62]Jae Yong Lee, Joseph DeGol, Chuhang Zou, Derek Hoiem:
PatchMatch-RL: Deep MVS with Pixelwise Depth, Normal, and Visibility. ICCV 2021: 6138-6147 - [c61]Derek Hoiem, Tanmay Gupta, Zhizhong Li, Michal Shlapentokh-Rothman:
Learning Curves for Analysis of Deep Networks. ICML 2021: 4287-4296 - [c60]Zhizhong Li, Linjie Luo, Sergey Tulyakov, Qieyun Dai, Derek Hoiem:
Task-Assisted Domain Adaptation with Anchor Tasks. WACV 2021: 2988-2997 - [i27]Tanmay Gupta, Amita Kamath, Aniruddha Kembhavi, Derek Hoiem:
Towards General Purpose Vision Systems. CoRR abs/2104.00743 (2021) - [i26]Jae Yong Lee, Joseph DeGol, Chuhang Zou, Derek Hoiem:
PatchMatch-RL: Deep MVS with Pixelwise Depth, Normal, and Visibility. CoRR abs/2108.08943 (2021) - 2020
- [c59]Rajbir Kataria, Joseph DeGol, Derek Hoiem:
Improving Structure from Motion with Reliable Resectioning. 3DV 2020: 41-50 - [c58]Zhizhong Li, Derek Hoiem:
Improving Confidence Estimates for Unfamiliar Examples. CVPR 2020: 2683-2692 - [c57]Hongxu Yin, Pavlo Molchanov, José M. Álvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz:
Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion. CVPR 2020: 8712-8721 - [c56]Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem:
Contrastive Learning for Weakly Supervised Phrase Grounding. ECCV (3) 2020: 752-768 - [c55]Chuhang Zou, Derek Hoiem:
Silhouette Guided Point Cloud Reconstruction beyond Occlusion. WACV 2020: 41-50 - [i25]Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem:
Contrastive Learning for Weakly Supervised Phrase Grounding. CoRR abs/2006.09920 (2020) - [i24]Derek Hoiem, Tanmay Gupta, Zhizhong Li, Michal Shlapentokh-Rothman:
Learning Curves for Analysis of Deep Networks. CoRR abs/2010.11029 (2020)
2010 – 2019
- 2019
- [j17]Chuhang Zou, Ruiqi Guo, Zhizhong Li, Derek Hoiem:
Complete 3D Scene Parsing from an RGBD Image. Int. J. Comput. Vis. 127(2): 143-162 (2019) - [c54]Tanmay Gupta, Alexander G. Schwing, Derek Hoiem:
ViCo: Word Embeddings From Visual Co-Occurrences. ICCV 2019: 7424-7433 - [c53]Tanmay Gupta, Alexander G. Schwing, Derek Hoiem:
No-Frills Human-Object Interaction Detection: Factorization, Layout Encodings, and Training Techniques. ICCV 2019: 9676-9684 - [i23]Chuhang Zou, Derek Hoiem:
Silhouette Guided Point Cloud Reconstruction beyond Occlusion. CoRR abs/1907.12253 (2019) - [i22]Zhizhong Li, Linjie Luo, Sergey Tulyakov, Qieyun Dai, Derek Hoiem:
Anchor Tasks: Inexpensive, Shared, and Aligned Tasks for Domain Adaptation. CoRR abs/1908.06079 (2019) - [i21]Tanmay Gupta, Alexander G. Schwing, Derek Hoiem:
ViCo: Word Embeddings from Visual Co-occurrences. CoRR abs/1908.08527 (2019) - [i20]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 abs/1910.04099 (2019) - [i19]Hongxu Yin, Pavlo Molchanov, Zhizhong Li, José M. Álvarez, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz:
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion. CoRR abs/1912.08795 (2019) - [i18]Kevin Karsch, Varsha Hedau, David A. Forsyth, Derek Hoiem:
Rendering Synthetic Objects into Legacy Photographs. CoRR abs/1912.11565 (2019) - [i17]Kevin Karsch, Zicheng Liao, Jason Rock, Jonathan T. Barron, Derek Hoiem:
Boundary Cues for 3D Object Shape Recovery. CoRR abs/1912.11566 (2019) - 2018
- [j16]Zhizhong Li, Derek Hoiem:
Learning without Forgetting. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 2935-2947 (2018) - [c52]Joseph DeGol, Jae Yong Lee, Rajbir Kataria, Daniel Yuan, Timothy Bretl, Derek Hoiem:
FEATS: Synthetic Feature Tracks for Structure from Motion Evaluation. 3DV 2018: 352-361 - [c51]Chuhang Zou, Alex Colburn, Qi Shan, Derek Hoiem:
LayoutNet: Reconstructing the 3D Room Layout From a Single RGB Image. CVPR 2018: 2051-2059 - [c50]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: 3061-3069 - [c49]Joseph DeGol, Timothy Bretl, Derek Hoiem:
Improved Structure from Motion Using Fiducial Marker Matching. ECCV (3) 2018: 281-296 - [c48]Tanmay Gupta, Dustin Schwenk, Ali Farhadi, Derek Hoiem, Aniruddha Kembhavi:
Imagine This! Scripts to Compositions to Videos. ECCV (8) 2018: 610-626 - [i16]Chuhang Zou, Alex Colburn, Qi Shan, Derek Hoiem:
LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image. CoRR abs/1803.08999 (2018) - [i15]Zhizhong Li, Derek Hoiem:
G-Distillation: Reducing Overconfident Errors on Novel Samples. CoRR abs/1804.03166 (2018) - [i14]Tanmay Gupta, Dustin Schwenk, Ali Farhadi, Derek Hoiem, Aniruddha Kembhavi:
Imagine This! Scripts to Compositions to Videos. CoRR abs/1804.03608 (2018) - [i13]Daeyun Shin, Charless C. Fowlkes, Derek Hoiem:
Pixels, voxels, and views: A study of shape representations for single view 3D object shape prediction. CoRR abs/1804.06032 (2018) - [i12]Tanmay Gupta, Alexander G. Schwing, Derek Hoiem:
No-Frills Human-Object Interaction Detection: Factorization, Appearance and Layout Encodings, and Training Techniques. CoRR abs/1811.05967 (2018) - 2017
- [c47]Chuhang Zou, Ersin Yumer, Jimei Yang, Duygu Ceylan, Derek Hoiem:
3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks. ICCV 2017: 900-909 - [c46]Joseph DeGol, Timothy Bretl, Derek Hoiem:
ChromaTag: A Colored Marker and Fast Detection Algorithm. ICCV 2017: 1481-1490 - [c45]Tanmay Gupta, Kevin J. Shih, Saurabh Singh, Derek Hoiem:
Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks. ICCV 2017: 4223-4232 - [i11]Tanmay Gupta, Kevin J. Shih, Saurabh Singh, Derek Hoiem:
Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks. CoRR abs/1704.00260 (2017) - [i10]Chuhang Zou, Ersin Yumer, Jimei Yang, Duygu Ceylan, Derek Hoiem:
3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks. CoRR abs/1708.01648 (2017) - [i9]Joseph DeGol, Timothy Bretl, Derek Hoiem:
ChromaTag: A Colored Marker and Fast Detection Algorithm. CoRR abs/1708.02982 (2017) - [i8]Chuhang Zou, Zhizhong Li, Derek Hoiem:
Complete 3D Scene Parsing from Single RGBD Image. CoRR abs/1710.09490 (2017) - 2016
- [c44]Saurabh Singh, Derek Hoiem, David A. Forsyth:
Learning to Localize Little Landmarks. CVPR 2016: 260-269 - [c43]Joseph DeGol, Mani Golparvar Fard, Derek Hoiem:
Geometry-Informed Material Recognition. CVPR 2016: 1554-1562 - [c42]Kevin J. Shih, Saurabh Singh, Derek Hoiem:
Where to Look: Focus Regions for Visual Question Answering. CVPR 2016: 4613-4621 - [c41]Zhizhong Li, Derek Hoiem:
Learning Without Forgetting. ECCV (4) 2016: 614-629 - [c40]Saurabh Singh, Derek Hoiem, David A. Forsyth:
Swapout: Learning an ensemble of deep architectures. NIPS 2016: 28-36 - [i7]Saurabh Singh, Derek Hoiem, David A. Forsyth:
Swapout: Learning an ensemble of deep architectures. CoRR abs/1605.06465 (2016) - [i6]Tanmay Gupta, Daeyun Shin, Naren Sivagnanadasan, Derek Hoiem:
3DFS: Deformable Dense Depth Fusion and Segmentation for Object Reconstruction from a Handheld Camera. CoRR abs/1606.05002 (2016) - [i5]Zhizhong Li, Derek Hoiem:
Learning without Forgetting. CoRR abs/1606.09282 (2016) - [i4]Joseph DeGol, Mani Golparvar Fard, Derek Hoiem:
Geometry-Informed Material Recognition. CoRR abs/1607.05338 (2016) - 2015
- [j15]Derek Hoiem, James Hays, Jianxiong Xiao, Aditya Khosla:
Guest Editorial: Scene Understanding. Int. J. Comput. Vis. 112(2): 131-132 (2015) - [j14]Ruiqi Guo, Derek Hoiem:
Labeling Complete Surfaces in Scene Understanding. Int. J. Comput. Vis. 112(2): 172-187 (2015) - [j13]Kevin J. Shih, Ian Endres, Derek Hoiem:
Learning Discriminative Collections of Part Detectors for Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37(8): 1571-1584 (2015) - [c39]Kevin J. Shih, Arun Mallya, Saurabh Singh, Derek Hoiem:
Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization. BMVC 2015: 128.1-128.12 - [c38]Jason Rock, Tanmay Gupta, Justin Thorsen, JunYoung Gwak, Daeyun Shin, Derek Hoiem:
Completing 3D object shape from one depth image. CVPR 2015: 2484-2493 - [c37]Saurabh Singh, Derek Hoiem, David A. Forsyth:
Learning a sequential search for landmarks. CVPR 2015: 3422-3430 - [c36]Qieyun Dai, Peter Carr, Leonid Sigal, Derek Hoiem:
Family Member Identification from Photo Collections. WACV 2015: 982-989 - [i3]Ruiqi Guo, Chuhang Zou, Derek Hoiem:
Predicting Complete 3D Models of Indoor Scenes. CoRR abs/1504.02437 (2015) - [i2]Kevin J. Shih, Arun Mallya, Saurabh Singh, Derek Hoiem:
Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization. CoRR abs/1507.06332 (2015) - [i1]Kevin J. Shih, Saurabh Singh, Derek Hoiem:
Where To Look: Focus Regions for Visual Question Answering. CoRR abs/1511.07394 (2015) - 2014
- [j12]Ian Endres, Derek Hoiem:
Category-Independent Object Proposals with Diverse Ranking. IEEE Trans. Pattern Anal. Mach. Intell. 36(2): 222-234 (2014) - 2013
- [j11]Gang Wang, David A. Forsyth, Derek Hoiem:
Improved Object Categorization and Detection Using Comparative Object Similarity. IEEE Trans. Pattern Anal. Mach. Intell. 35(10): 2442-2453 (2013) - [j10]Ruiqi Guo, Qieyun Dai, Derek Hoiem:
Paired Regions for Shadow Detection and Removal. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 2956-2967 (2013) - [c35]Ian Endres, Kevin J. Shih, Johnston Jiaa, Derek Hoiem:
Learning Collections of Part Models for Object Recognition. CVPR 2013: 939-946 - [c34]Kevin Karsch, Zicheng Liao, Jason Rock, Jonathan T. Barron, Derek Hoiem:
Boundary Cues for 3D Object Shape Recovery. CVPR 2013: 2163-2170 - [c33]Ruiqi Guo, Derek Hoiem:
Support Surface Prediction in Indoor Scenes. ICCV 2013: 2144-2151 - 2012
- [j9]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): 2177-2188 (2012) - [c32]Varsha Hedau, Derek Hoiem, David A. Forsyth:
Recovering free space of indoor scenes from a single image. CVPR 2012: 2807-2814 - [c31]Ian Endres, Vivek Srikumar, Ming-Wei Chang, Derek Hoiem:
Learning shared body plans. CVPR 2012: 3130-3137 - [c30]Mert Dikmen, Derek Hoiem, Thomas S. Huang:
A data driven method for feature transformation. CVPR 2012: 3314-3321 - [c29]Qieyun Dai, Derek Hoiem:
Learning to localize detected objects. CVPR 2012: 3322-3329 - [c28]Derek Hoiem, Yodsawalai Chodpathumwan, Qieyun Dai:
Diagnosing Error in Object Detectors. ECCV (3) 2012: 340-353 - [c27]Nathan Silberman, Derek Hoiem, Pushmeet Kohli, Rob Fergus:
Indoor Segmentation and Support Inference from RGBD Images. ECCV (5) 2012: 746-760 - [c26]Ruiqi Guo, Derek Hoiem:
Beyond the Line of Sight: Labeling the Underlying Surfaces. ECCV (5) 2012: 761-774 - 2011
- [b1]Derek Hoiem, Silvio Savarese:
Representations and Techniques for 3D Object Recognition and Scene Interpretation. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2011, ISBN 978-3-031-00429-2 - [j8]Derek Hoiem, Alexei A. Efros, Martial Hebert:
Recovering Occlusion Boundaries from an Image. Int. J. Comput. Vis. 91(3): 328-346 (2011) - [j7]Kevin Karsch, Varsha Hedau, David A. Forsyth, Derek Hoiem:
Rendering synthetic objects into legacy photographs. ACM Trans. Graph. 30(6): 157 (2011) - [c25]Ruiqi Guo, Qieyun Dai, Derek Hoiem:
Single-image shadow detection and removal using paired regions. CVPR 2011: 2033-2040 - 2010
- [j6]Tamara L. Berg, Alexander Sorokin, Gang Wang, David A. Forsyth, Derek Hoiem, Ian Endres, Ali Farhadi:
It's All About the Data. Proc. IEEE 98(8): 1434-1452 (2010) - [c24]Ian Endres, Ali Farhadi, Derek Hoiem, David A. Forsyth:
The benefits and challenges of collecting richer object annotations. CVPR Workshops 2010: 1-8 - [c23]Ali Farhadi, Ian Endres, Derek Hoiem:
Attribute-centric recognition for cross-category generalization. CVPR 2010: 2352-2359 - [c22]Gang Wang, David A. Forsyth, Derek Hoiem:
Comparative object similarity for improved recognition with few or no examples. CVPR 2010: 3525-3532 - [c21]Varsha Hedau, Derek Hoiem, David A. Forsyth:
Thinking Inside the Box: Using Appearance Models and Context Based on Room Geometry. ECCV (6) 2010: 224-237 - [c20]Ian Endres, Derek Hoiem:
Category Independent Object Proposals. ECCV (5) 2010: 575-588
2000 – 2009
- 2009
- [c19]Santosh Kumar Divvala, Derek Hoiem, James Hays, Alexei A. Efros, Martial Hebert:
An empirical study of context in object detection. CVPR 2009: 1271-1278 - [c18]Gang Wang, Derek Hoiem, David A. Forsyth:
Building text features for object image classification. CVPR 2009: 1367-1374 - [c17]