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James Philbin
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2020 – today
- 2021
- [c34]Kratarth Goel, Praveen Srinivasan, Sarah Tariq, James Philbin:
QuadroNet: Multi-Task Learning for Real-Time Semantic Depth Aware Instance Segmentation. WACV 2021: 315-324 - 2020
- [i7]Noureldin Hendy, Cooper Sloan, Feng Tian, Pengfei Duan, Nick Charchut, Yuesong Xie, Chuang Wang, James Philbin:
FISHING Net: Future Inference of Semantic Heatmaps In Grids. CoRR abs/2006.09917 (2020)
2010 – 2019
- 2019
- [c33]Joey Hong, Benjamin Sapp, James Philbin:
Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions. CVPR 2019: 8454-8462 - [i6]Joey Hong, Benjamin Sapp, James Philbin:
Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions. CoRR abs/1906.08945 (2019) - 2016
- [c32]John Flynn, Ivan Neulander, James Philbin, Noah Snavely:
Deep Stereo: Learning to Predict New Views from the World's Imagery. CVPR 2016: 5515-5524 - [c31]Tobias Weyand, Ilya Kostrikov, James Philbin:
PlaNet - Photo Geolocation with Convolutional Neural Networks. ECCV (8) 2016: 37-55 - [c30]Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei:
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. ECCV (3) 2016: 301-320 - [i5]Tobias Weyand, Ilya Kostrikov, James Philbin:
PlaNet - Photo Geolocation with Convolutional Neural Networks. CoRR abs/1602.05314 (2016) - 2015
- [c29]Florian Schroff, Dmitry Kalenichenko, James Philbin:
FaceNet: A unified embedding for face recognition and clustering. CVPR 2015: 815-823 - [i4]Florian Schroff, Dmitry Kalenichenko, James Philbin:
FaceNet: A Unified Embedding for Face Recognition and Clustering. CoRR abs/1503.03832 (2015) - [i3]John Flynn, Ivan Neulander, James Philbin, Noah Snavely:
DeepStereo: Learning to Predict New Views from the World's Imagery. CoRR abs/1506.06825 (2015) - [i2]Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou
, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei:
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. CoRR abs/1511.06789 (2015) - 2014
- [c28]Jiang Wang, Yang Song, Thomas Leung, Chuck Rosenberg, Jingbin Wang, James Philbin, Bo Chen, Ying Wu:
Learning Fine-Grained Image Similarity with Deep Ranking. CVPR 2014: 1386-1393 - [i1]Jiang Wang, Yang Song, Thomas Leung, Chuck Rosenberg, Jingbin Wang, James Philbin, Bo Chen, Ying Wu:
Learning Fine-grained Image Similarity with Deep Ranking. CoRR abs/1404.4661 (2014) - 2013
- [j5]Mahmoud Ismail, James Philbin:
Multi-series DICOM: an Extension of DICOM That Stores a Whole Study in a Single Object. J. Digit. Imaging 26(4): 691-697 (2013) - [c27]Mahmoud Ismail, James Philbin:
Separation of Metadata and Pixel Data to Speed DICOM Tag Morphing. MedInfo 2013: 1143 - 2011
- [j4]James Philbin, Josef Sivic, Andrew Zisserman:
Geometric Latent Dirichlet Allocation on a Matching Graph for Large-scale Image Datasets. Int. J. Comput. Vis. 95(2): 138-153 (2011) - [j3]James Philbin, Fred W. Prior, Paul G. Nagy
Will the Next Generation of PACS Be Sitting on a Cloud? J. Digit. Imaging 24(2): 179-183 (2011) - [j2]Kenneth C. Wang, Ross W. Filice, James Philbin, Eliot L. Siegel, Paul G. Nagy
Five Levels of PACS Modularity: Integrating 3D and Other Advanced Visualization Tools. J. Digit. Imaging 24(6): 1096-1102 (2011) - 2010
- [c26]James Philbin, Michael Isard, Josef Sivic, Andrew Zisserman:
Descriptor Learning for Efficient Retrieval. ECCV (3) 2010: 677-691
2000 – 2009
- 2009
- [c25]Ken Chatfield, James Philbin, Andrew Zisserman:
Efficient retrieval of deformable shape classes using local self-similarities. ICCV Workshops 2009: 264-271 - 2008
- [c24]Ondrej Chum
Near Duplicate Image Detection: min-Hash and tf-idf Weighting. BMVC 2008: 1-10 - [c23]James Philbin, Josef Sivic, Andrew Zisserman:
Geometric LDA: A Generative Model for Particular Object Discovery. BMVC 2008: 1-10 - [c22]James Philbin, Andrew Zisserman:
University of Oxford video retrieval system. CIVR 2008: 565-566 - [c21]James Philbin, Ondrej Chum
Lost in quantization: Improving particular object retrieval in large scale image databases. CVPR 2008 - [c20]James Philbin, Andrew Zisserman:
Object Mining Using a Matching Graph on Very Large Image Collections. ICVGIP 2008: 738-745 - [c19]James Philbin, Manuel J. Marín-Jiménez, Siddharth Srinivasan, Andrew Zisserman, Mihir Jain, Sreekanth Vempati, K. Pramod Sankar, C. V. Jawahar:
Oxford/IIIT TRECVID 2008 - Notebook paper. TRECVID 2008 - 2007
- [c18]Ondrej Chum
Scalable near identical image and shot detection. CIVR 2007: 549-556 - [c17]James Philbin, Ondrej Chum
Object retrieval with large vocabularies and fast spatial matching. CVPR 2007 - [c16]Ondrej Chum
Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval. ICCV 2007: 1-8 - [c15]James Philbin, Ondrej Chum, Josef Sivic, Vittorio Ferrari, Manuel J. Marín-Jiménez, Anna Bosch, Nicholas Apostolof, Andrew Zisserman:
Oxford TRECVid 2007 \u2013 Notebook paper. TRECVID 2007 - 2006
- [c14]James Philbin, Anna Bosch, Ondrej Chum, Jan-Mark Geusebroek, Josef Sivic, Andrew Zisserman:
Oxford TRECVID 2006 - Notebook paper. TRECVID 2006 - 2002
- [c13]Yuanyuan Zhou, Kai Li, Angelos Bilas
Experiences with VI Communication for Database Storage. ISCA 2002: 257-268 - 2001
- [c12]Yuanyuan Zhou, James Philbin, Kai Li:
The Multi-Queue Replacement Algorithm for Second Level Buffer Caches. USENIX ATC, General Track 2001: 91-104
1990 – 1999
- 1999
- [c11]Satoru Fujita, Kazuya Koyama, Toru Yamanouchi, Suresh Jagannathan, Richard Kelsey, James Philbin:
Mobile and Distributed Agents in Mobidget. ASA/MA 1999: 276-292 - 1998
- [c10]Soichiro Araki, Angelos Bilas
User-Space Communication: A Quantitative Study. SC 1998: 18 - 1997
- [c9]Leo Kuvayev, C. Lee Giles
Intelligent Methods for File System Optimization. AAAI/IAAI 1997: 528-533 - 1996
- [c8]James Philbin, Jan Edler, Otto J. Anshus, Craig C. Douglas, Kai Li:
Thread Scheduling for Cache Locality. ASPLOS 1996: 60-71 - 1995
- [c7]James Philbin, Suresh Jagannathan, Rajiv Mirani:
Virtual Topologies: A New Concurrency Abstraction for High-Level Parallel Languages. LCPC 1995: 450-464 - 1994
- [j1]Stephen Weeks, Suresh Jagannathan, James Philbin:
A Concurrent Abstract Interpreter. LISP Symb. Comput. 7(2-3): 173-193 (1994) - [c6]Suresh Jagannathan, James Philbin:
High-Level Abstractions for Efficient Concurrent Systems. Programming Languages and System Architectures 1994: 171-190 - 1992
- [c5]Suresh Jagannathan, James Philbin:
A Foundation for an Efficient Multi-Threaded Scheme System. LISP and Functional Programming 1992: 345-357 - [c4]Suresh Jagannathan, James Philbin:
A Customizable Substrate for Concurrent Languages. PLDI 1992: 55-67 - [c3]James Philbin:
Customizable Policy Management in the Sting Operating System. Parallel Symbolic Computing 1992: 380-401
1980 – 1989
- 1986
- [c2]David A. Kranz, Richard Kelsey, Jonathan Rees, Paul Hudak, James Philbin, Norman Adams:
Orbit: an optimizing compiler for scheme (with retrospective). Best of PLDI 1986: 175-191 - [c1]David A. Kranz, Richard Kelsey, Jonathan Rees
ORBIT: an optimizing compiler for scheme. SIGPLAN Symposium on Compiler Construction 1986: 219-233
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