-
1
-
-
84959502295
-
-
CoRR, abs/1505. 00468 4
-
S. Antol, A. Agrawal, J. Lu, M. Mitchell, D. Batra, C. L. Zitnick, and D. Parikh. VQA: visual question answering. CoRR, abs/1505. 00468, 2015. 4
-
(2015)
VQA: Visual Question Answering
-
-
Antol, S.1
Agrawal, A.2
Lu, J.3
Mitchell, M.4
Batra, D.5
Zitnick, C.L.6
Parikh, D.7
-
2
-
-
84959209132
-
Zero-shot learning via visual abstraction
-
3, 6
-
S. Antol, C. L. Zitnick, and D. Parikh. Zero-shot learning via visual abstraction. In ECCV, 2014. 3, 6
-
(2014)
ECCV
-
-
Antol, S.1
Zitnick, C.L.2
Parikh, D.3
-
3
-
-
84866726859
-
Understanding and predicting importance in images
-
2
-
A. C. Berg, T. L. Berg, H. Daume, J. Dodge, A. Goyal, X. Han, A. Mensch, M. Mitchell, A. Sood, K. Stratos, and K. Yamaguchi. Understanding and predicting importance in images. In CVPR, 2012. 2
-
(2012)
CVPR
-
-
Berg, A.C.1
Berg, T.L.2
Daume, H.3
Dodge, J.4
Goyal, A.5
Han, X.6
Mensch, A.7
Mitchell, M.8
Sood, A.9
Stratos, K.10
Yamaguchi, K.11
-
4
-
-
57149137628
-
Freebase: A collaboratively created graph database for structuring human knowledge
-
1, 2. ACM
-
K. Bollacker, C. Evans, P. Paritosh, T. Sturge, and J. Taylor. Freebase: A collaboratively created graph database for structuring human knowledge. In ACM SIGMOD, pages 1247-1250. ACM, 2008. 1, 2
-
(2008)
ACM SIGMOD
, pp. 1247-1250
-
-
Bollacker, K.1
Evans, C.2
Paritosh, P.3
Sturge, T.4
Taylor, J.5
-
5
-
-
85021776053
-
Toward an architecture for never-ending language learning
-
1, 2
-
A. Carlson, J. Betteridge, B. Kisiel, B. Settles, E. R. Hruschka Jr, and T. M. Mitchell. Toward an architecture for never-ending language learning. In AAAI, 2010. 1, 2
-
(2010)
AAAI
-
-
Carlson, A.1
Betteridge, J.2
Kisiel, B.3
Settles, B.4
Hruschka, E.R.5
Mitchell, T.M.6
-
6
-
-
84959240259
-
Mining semantic affordances of visual object categories
-
2
-
Y.-W. Chao, Z. Wang, R. Mihalcea, and J. Deng. Mining semantic affordances of visual object categories. In CVPR, 2015. 2
-
(2015)
CVPR
-
-
Chao, Y.-W.1
Wang, Z.2
Mihalcea, R.3
Deng, J.4
-
7
-
-
84898803720
-
Neil: Extracting visual knowledge from web data
-
2
-
X. Chen, A. Shrivastava, and A. Gupta. Neil: Extracting visual knowledge from web data. In ICCV, 2013. 2
-
(2013)
ICCV
-
-
Chen, X.1
Shrivastava, A.2
Gupta, A.3
-
8
-
-
0027560291
-
What is a knowledge representation?
-
1
-
R. Davis, H. Shrobe, and P. Szolovits. What is a knowledge representation? AI magazine, 14 (1): 17, 1993. 1
-
(1993)
AI Magazine
, vol.14
, Issue.1
, pp. 17
-
-
Davis, R.1
Shrobe, H.2
Szolovits, P.3
-
9
-
-
84911368326
-
Learning everything about anything: Webly-supervised visual concept learning
-
2
-
S. Divvala, A. Farhadi, and C. Guestrin. Learning everything about anything: Webly-supervised visual concept learning. In CVPR, 2014. 2
-
(2014)
CVPR
-
-
Divvala, S.1
Farhadi, A.2
Guestrin, C.3
-
10
-
-
70450161428
-
An empirical study of context in object detection
-
2
-
S. K. Divvala, D. Hoiem, J. H. Hays, A. A. Efros, and M. Hebert. An empirical study of context in object detection. In CVPR, 2009. 2
-
(2009)
CVPR
-
-
Divvala, S.K.1
Hoiem, D.2
Hays, J.H.3
Efros, A.A.4
Hebert, M.5
-
11
-
-
84907023031
-
Knowledge vault: A web-scale approach to probabilistic knowledge fusion
-
2. ACM
-
X. Dong, E. Gabrilovich, G. Heitz, W. Horn, N. Lao, K. Murphy, T. Strohmann, S. Sun, andW. Zhang. Knowledge vault: A web-scale approach to probabilistic knowledge fusion. In ACM SIGKDD, pages 601-610. ACM, 2014. 2
-
(2014)
ACM SIGKDD
, pp. 601-610
-
-
Dong, X.1
Gabrilovich, E.2
Heitz, G.3
Horn, W.4
Lao, N.5
Murphy, K.6
Strohmann, T.7
Sun, S.8
Zhang, W.9
-
12
-
-
84866839638
-
Open information extraction: The second generation
-
2, 3
-
O. Etzioni, A. Fader, J. Christensen, S. Soderland, and M. Mausam. Open information extraction: The second generation. In IJCAI, volume 11, pages 3-10, 2011. 2, 3
-
(2011)
IJCAI
, vol.11
, pp. 3-10
-
-
Etzioni, O.1
Fader, A.2
Christensen, J.3
Soderland, S.4
Mausam, M.5
-
13
-
-
79953685181
-
Building watson: An overview of the deepqa project
-
2
-
D. Ferrucci, E. Brown, J. Chu-Carroll, J. Fan, D. Gondek, A. A. Kalyanpur, A. Lally, J. W. Murdock, E. Nyberg, J. Prager, N. Schlaefer, and C. Welty. Building watson: An overview of the deepqa project. AI magazine, 31 (3): 59-79, 2010. 2
-
(2010)
AI Magazine
, vol.31
, Issue.3
, pp. 59-79
-
-
Ferrucci, D.1
Brown, E.2
Chu-Carroll, J.3
Fan, J.4
Gondek, D.5
Kalyanpur, A.A.6
Lally, A.7
Murdock, J.W.8
Nyberg, E.9
Prager, J.10
Schlaefer, N.11
Welty, C.12
-
14
-
-
84885874665
-
People watching: Human actions as a cue for single view geometry
-
2
-
D. F. Fouhey, V. Delaitre, A. Gupta, A. A. Efros, I. Laptev, and J. Sivic. People watching: Human actions as a cue for single view geometry. In ECCV, 2012. 2
-
(2012)
ECCV
-
-
Fouhey, D.F.1
Delaitre, V.2
Gupta, A.3
Efros, A.A.4
Laptev, I.5
Sivic, J.6
-
15
-
-
84911394491
-
Predicting object dynamics in scenes
-
3
-
D. F. Fouhey and C. L. Zitnick. Predicting object dynamics in scenes. In CVPR, 2014. 3
-
(2014)
CVPR
-
-
Fouhey, D.F.1
Zitnick, C.L.2
-
16
-
-
84888145576
-
Reporting bias and knowledge acquisition
-
New York, NY, USA. ACM. 1
-
J. Gordon and B. Van Durme. Reporting bias and knowledge acquisition. In Proceedings of the 2013 Workshop on Automated Knowledge Base Construction, AKBC '13, pages 25-30, New York, NY, USA, 2013. ACM. 1
-
(2013)
Proceedings of the 2013 Workshop on Automated Knowledge Base Construction, AKBC '13
, pp. 25-30
-
-
Gordon, J.1
Van Durme, B.2
-
18
-
-
70450155469
-
Beyond nouns: Exploiting prepositions and comparative adjectives for learning visual classifiers
-
2
-
A. Gupta and L. S. Davis. Beyond nouns: Exploiting prepositions and comparative adjectives for learning visual classifiers. In ECCV, 2008. 2
-
(2008)
ECCV
-
-
Gupta, A.1
Davis, L.S.2
-
19
-
-
51949088643
-
Im2gps: Estimating geographic information from a single image
-
2
-
J. Hays and A. A. Efros. Im2gps: estimating geographic information from a single image. In CVPR, 2008. 2
-
(2008)
CVPR
-
-
Hays, J.1
Efros, A.A.2
-
20
-
-
84866725130
-
Recovering free space of indoor scenes from a single image
-
2
-
V. Hedau, D. Hoiem, and D. Forsyth. Recovering free space of indoor scenes from a single image. In CVPR, 2012. 2
-
(2012)
CVPR
-
-
Hedau, V.1
Hoiem, D.2
Forsyth, D.3
-
21
-
-
84870293219
-
Yago2: A spatially and temporally enhanced knowledge base from wikipedia
-
1
-
J. Hoffart, F. M. Suchanek, K. Berberich, and G. Weikum. Yago2: A spatially and temporally enhanced knowledge base from wikipedia. Artificial Intelligence, 194: 28-61, 2013. 1
-
(2013)
Artificial Intelligence
, vol.194
, pp. 28-61
-
-
Hoffart, J.1
Suchanek, F.M.2
Berberich, K.3
Weikum, G.4
-
22
-
-
84959233256
-
Image retrieval using scene graphs
-
2
-
J. Johnson, R. Krishna, M. Stark, L.-J. Li, D. A. Shamma, M. Bernstein, and L. Fei-Fei. Image retrieval using scene graphs. In CVPR, 2015. 2
-
(2015)
CVPR
-
-
Johnson, J.1
Krishna, R.2
Stark, M.3
Li, L.-J.4
Shamma, D.A.5
Bernstein, M.6
Fei-Fei, L.7
-
24
-
-
84965145163
-
DBpedia-a large-scale, multilingual knowledge base extracted from wikipedia
-
1
-
J. Lehmann, R. Isele, M. Jakob, A. Jentzsch, D. Kontokostas, P. N. Mendes, S. Hellmann, M. Morsey, P. van Kleef, S. Auer, and C. Bizer. DBpedia-a large-scale, multilingual knowledge base extracted from wikipedia. Semantic Web Journal, 2014. 1
-
(2014)
Semantic Web Journal
-
-
Lehmann, J.1
Isele, R.2
Jakob, M.3
Jentzsch, A.4
Kontokostas, D.5
Mendes, P.N.6
Hellmann, S.7
Morsey, M.8
Van Kleef, P.9
Auer, S.10
Bizer, C.11
-
25
-
-
84937834115
-
Microsoft coco: Common objects in context
-
3
-
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick. Microsoft coco: Common objects in context. In ECCV. 2014. 3
-
(2014)
ECCV
-
-
Lin, T.-Y.1
Maire, M.2
Belongie, S.3
Hays, J.4
Perona, P.5
Ramanan, D.6
Dollár, P.7
Zitnick, C.L.8
-
26
-
-
84959227898
-
Don't just listen, use your imagination: Leveraging visual common sense for non-visual tasks
-
2, 3
-
X. Lin and D. Parikh. Don't just listen, use your imagination: Leveraging visual common sense for non-visual tasks. In CVPR, 2015. 2, 3
-
(2015)
CVPR
-
-
Lin, X.1
Parikh, D.2
-
27
-
-
84898956512
-
Distributed representations of words and phrases and their compositionality
-
2, 5
-
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean. Distributed representations of words and phrases and their compositionality. In NIPS, 2013. 2, 5
-
(2013)
NIPS
-
-
Mikolov, T.1
Sutskever, I.2
Chen, K.3
Corrado, G.S.4
Dean, J.5
-
28
-
-
84976702763
-
Wordnet: A lexical database for english
-
1
-
G. A. Miller. Wordnet: A lexical database for english. Communications of the ACM, 38 (11): 39-41, 1995. 1
-
(1995)
Communications of the ACM
, vol.38
, Issue.11
, pp. 39-41
-
-
Miller, G.A.1
-
29
-
-
84961289992
-
Glove: Global vectors for word representation
-
2
-
J. Pennington, R. Socher, and C. D. Manning. Glove: Global vectors for word representation. EMNLP, 12, 2014. 2
-
(2014)
EMNLP
, vol.12
-
-
Pennington, J.1
Socher, R.2
Manning, C.D.3
-
30
-
-
84911385613
-
Seeing the arrow of time
-
2
-
L. Pickup, Z. Pan, D. Wei, Y. Shih, C. Zhang, A. Zisserman, B. Scholkopf, and W. Freeman. Seeing the arrow of time. In CVPR, 2014. 2
-
(2014)
CVPR
-
-
Pickup, L.1
Pan, Z.2
Wei, D.3
Shih, Y.4
Zhang, C.5
Zisserman, A.6
Scholkopf, B.7
Freeman, W.8
-
32
-
-
84959184467
-
Viske: Visual knowledge extraction and question answering by visual verification of relation phrases
-
2
-
F. Sadeghi, S. K. Divvala, and A. Farhadi. Viske: Visual knowledge extraction and question answering by visual verification of relation phrases. In CVPR, pages 1456-1464, 2015. 2
-
(2015)
CVPR
, pp. 1456-1464
-
-
Sadeghi, F.1
Divvala, S.K.2
Farhadi, A.3
-
33
-
-
84867325346
-
Open mind common sense: Knowledge acquisition from the general public
-
1. Springer
-
P. Singh, T. Lin, E. T. Mueller, G. Lim, T. Perkins, and W. L. Zhu. Open mind common sense: Knowledge acquisition from the general public. In On the Move to Meaningful Internet Systems 2002: CoopIS, DOA, and ODBASE, pages 1223-1237. Springer, 2002. 1
-
(2002)
On the Move to Meaningful Internet Systems 2002: CoopIS, DOA, and ODBASE
, pp. 1223-1237
-
-
Singh, P.1
Lin, T.2
Mueller, E.T.3
Lim, G.4
Perkins, T.5
Zhu, W.L.6
-
34
-
-
84906089632
-
Conceptnet 5: A large semantic network for relational knowledge
-
1, 8. Springer
-
R. Speer and C. Havasi. Conceptnet 5: A large semantic network for relational knowledge. In The Peoples Web Meets NLP, pages 161-176. Springer, 2013. 1, 8
-
(2013)
The Peoples Web Meets NLP
, pp. 161-176
-
-
Speer, R.1
Havasi, C.2
-
35
-
-
84952058866
-
Reasoning about object affordances in a knowledge base representation
-
2
-
Y. Zhu, A. Fathi, and L. Fei-Fei. Reasoning about object affordances in a knowledge base representation. In ECCV, 2014. 2
-
(2014)
ECCV
-
-
Zhu, Y.1
Fathi, A.2
Fei-Fei, L.3
-
36
-
-
84959182108
-
Adopting abstract images for semantic scene understanding
-
3
-
C. Zitnick, R. Vedantam, and D. Parikh. Adopting abstract images for semantic scene understanding. PAMI, 2014. 3
-
(2014)
PAMI
-
-
Zitnick, C.1
Vedantam, R.2
Parikh, D.3
-
37
-
-
84887338442
-
Bringing semantics into focus using visual abstraction
-
3
-
C. L. Zitnick and D. Parikh. Bringing semantics into focus using visual abstraction. In CVPR, 2013. 3
-
(2013)
CVPR
-
-
Zitnick, C.L.1
Parikh, D.2
-
38
-
-
84898772194
-
Learning the visual interpretation of sentences
-
3, 6
-
C. L. Zitnick, D. Parikh, and L. Vanderwende. Learning the visual interpretation of sentences. In ICCV, 2013. 3, 6
-
(2013)
ICCV
-
-
Zitnick, C.L.1
Parikh, D.2
Vanderwende, L.3
|