Fetching the paper…
Reading the bibliography…
We study the problem of detecting human-object interactions (HOI) in static images, defined as predicting a human and an object bounding box with an interaction class label that connects them.
Observing human-object interactions: Using spatial and functional compatibility for recognition
A. Gupta, A. Kembhavi, and L. S. Davis · 2009
Earlier work this paper cites.
Discriminative models for static human-object interactions
C. Desai, D. Ramanan, and C. Fowlkes · 2010
Earlier work this paper cites.
Grouplet: A structured image representation for recognizing human and object interactions
B. Yao and L. Fei-Fei · 2010
Earlier work this paper cites.
Modeling mutual context of object and human pose in human-object interaction activities
B. Yao and L. Fei-Fei · 2010
Earlier work this paper cites.
Learning person-object interactions for action recognition in still images
V. Delaitre, J. Sivic, and I. Laptev · 2011
Earlier work this paper cites.
Action recognition from a distributed representation of pose and appearance
S. Maji, L. Bourdev, and J. Malik · 2011
Earlier work this paper cites.
Recognition using visual phrases
M. A. Sadeghi and A. Farhadi · 2011
Earlier work this paper cites.
Human action recognition by learning bases of action attributes and parts
B. Yao, X. Jiang, A. Khosla, A. L. Lin, L. Guibas, and L. Fei-Fei · 2011
Earlier work this paper cites.
Detecting actions, poses, and objects with relational phraselets
C. Desai and D. Ramanan · 2012
Earlier work this paper cites.
ImageNet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Earlier work this paper cites.
Weakly supervised learning of interactions between humans and objects
A. Prest, C. Schmid, and V. Ferrari · 2012
Earlier work this paper cites.
Recognising human-object interaction via exemplar based modelling
J.-F. Hu, W.-S. Zheng, J. Lai, S. Gong, and T. Xiang · 2013
Earlier work this paper cites.
Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
Earlier work this paper cites.
Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
Cited alongside, same era.
What are you talking about? text-to-image coreference
C. Kong, D. Lin, M. Bansal, R. Urtasun, and S. Fidler · 2014
Cited alongside, same era.
Microsoft COCO: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
Cited alongside, same era.
HICO: A benchmark for recognizing human-object interactions in images
Y.-W. Chao, Z. Wang, Y. He, J. Wang, and J. Deng · 2015
Cited alongside, same era.
The PASCAL visual object classes challenge: A retrospective
M. Everingham, S. M. A. Eslami, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2015
Cited alongside, same era.
Fast R-CNN
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Later among the works it cites.
DenseCap: Fully convolutional localization networks for dense captioning
J. Johnson, A. Karpathy, and L. Fei-Fei · 2016
Later among the works it cites.
SSD: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg · 2016
Later among the works it cites.
Visual relationship detection with language priors
C. Lu, R. Krishna, M. Bernstein, and L. Fei-Fei · 2016
Later among the works it cites.
Learning models for actions and person-object interactions with transfer to question answering
A. Mallya and S. Lazebnik · 2016
Later among the works it cites.
Situation recognition: Visual semantic role labeling for image understanding
M. Yatskar, L. Zettlemoyer, and A. Farhadi · 2016
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
R. Girshick · 2015
Cited alongside, same era.
S. Gupta and J. Malik · 2015
Cited alongside, same era.
Deep visual-semantic alignments for generating image descriptions
A. Karpathy and L. Fei-Fei · 2015
Cited alongside, same era.
Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models
B. A. Plummer, L. Wang, C. M. Cervantes, J. C. Caicedo, J. Hockenmaier, and S. Lazebnik · 2015
Cited alongside, same era.
Faster R-CNN: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
Cited alongside, same era.
ImageNet large scale visual recognition challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2015
Cited alongside, same era.
Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
Cited alongside, same era.
Later among the works it cites.
Detecting visual relationships with deep relational networks
B. Dai, Y. Zhang, and D. Lin · 2017
Closest in time.
Visual genome: Connecting language and vision using crowdsourced dense image annotations
R. Krishna, Y. Zhu, O. Groth, J. Johnson, K. Hata, J. Kravitz, S. Chen, Y. Kalantidis, L.-J. Li, D. A. Shamma, M. S. Bernstein, and L. Fei-Fei · 2017
Closest in time.
ViP-CNN: Visual phrase guided convolutional neural network
Y. Li, W. Ouyang, X. Wang, and X. Tang · 2017
Closest in time.
Deep variation-structured reinforcement learning for visual relationship and attribute detection
X. Liang, L. Lee, and E. P. Xing · 2017
Closest in time.
Visual translation embedding network for visual relation detection
H. Zhang, Z. Kyaw, S.-F. Chang, and T.-S. Chua · 2017
Closest in time.
Relationship proposal networks
J. Zhang, M. Elhoseiny, S. Cohen, W. Chang, and A. Elgammal · 2017
Closest in time.