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We tackle the challenging problem of human-object interaction (HOI) detection.
Yao, B., Fei-Fei, L.: Modeling mutual context of object and human pose in human-object interaction activities. In: CVPR (2010)
2010
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Desai, C., Ramanan, D., Fowlkes, C.C.: Discriminative models for multi-class object layout. IJCV 95
2011
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Zitnick, C.L., Parikh, D.: Bringing semantics into focus using visual abstraction. In: CVPR (2013)
2013
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Fouhey, D.F., Zitnick, C.L.: Predicting object dynamics in scenes. In: CVPR (2014)
2014
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Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L.: Microsoft COCO: Common objects in context. In: ECCV (2014)
2014
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Chao, Y.W., Wang, Z., He, Y., Wang, J., Deng, J.: HICO: A benchmark for recognizing human-object interactions in images. In: CVPR (2015)
2015
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Gupta, S., Malik, J.: Visual semantic role labeling. arXiv preprint arXiv:1505.04474 (2015)
2015
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Johnson, J., Krishna, R., Stark, M., Li, L.J., Shamma, D., Bernstein, M., Fei-Fei, L.: Image retrieval using scene graphs. In: CVPR (2015)
2015
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Ren, S., He, K., Girshick, R., Sun, J.: Faster r-cnn: Towards real-time object detection with region proposal networks. In: NeurIPS (2015)
2015
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Vedantam, R., Lin, X., Batra, T., Lawrence Zitnick, C., Parikh, D.: Learning common sense through visual abstraction. In: ICCV (2015)
2015
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Bilen, H., Vedaldi, A.: Weakly supervised deep detection networks. In: CVPR (2016)
2016
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Lu, C., Krishna, R., Bernstein, M., Fei-Fei, L.: Visual relationship detection with language priors. In: ECCV (2016)
2016
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Chao, Y.W., Liu, Y., Liu, X., Zeng, H., Deng, J.: Learning to detect human-object interactions. In: WACV (2017)
2017
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Dai, B., Zhang, Y., Lin, D.: Detecting visual relationships with deep relational networks. In: CVPR (2017)
2017
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He, K., Gkioxari, G., Dollár, P., Girshick, R.: Mask r-cnn. In: ICCV (2017)
2017
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Hu, R., Rohrbach, M., Andreas, J., Darrell, T., Saenko, K.: Modeling relationships in referential expressions with compositional modular networks. In: CVPR (2017)
2017
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Li, Y., Ouyang, W., Wang, X., Tang, X.: Vip-cnn: Visual phrase guided convolutional neural network. In: CVPR (2017)
2017
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Li, Y., Ouyang, W., Zhou, B., Wang, K., Wang, X.: Scene graph generation from objects, phrases and region captions. In: ICCV (2017)
2017
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Mai, L., Jin, H., Lin, Z., Fang, C., Brandt, J., Liu, F.: Spatial-semantic image search by visual feature synthesis. In: CVPR (2017)
2017
Cited alongside, same era.
Newell, A., Deng, J.: Pixels to graphs by associative embedding. In: NeurIPS (2017)
2017
Cited alongside, same era.
Peyre, J., Laptev, I., Schmid, C., Sivic, J.: Weakly-supervised learning of visual relations. In: ICCV (2017)
2017
Cited alongside, same era.
Plummer, B.A., Mallya, A., Cervantes, C.M., Hockenmaier, J., Lazebnik, S.: Phrase localization and visual relationship detection with comprehensive linguistic cues. In: ICCV (2017)
2017
Cited alongside, same era.
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, Ł., Polosukhin, I.: Attention is all you need. In: NeurIPS (2017)
2017
Cited alongside, same era.
Shen, L., Yeung, S., Hoffman, J., Mori, G., Fei-Fei, L.: Scaling human-object interaction recognition through zero-shot learning. In: WACV (2018)
2018
Later among the works it cites.
Sun, C., Shrivastava, A., Vondrick, C., Murphy, K., Sukthankar, R., Schmid, C.: Actor-centric relation network. In: ECCV (2018)
2018
Later among the works it cites.
Wang, X., Girshick, R., Gupta, A., He, K.: Non-local neural networks. In: CVPR (2018)
2018
Later among the works it cites.
Yang, J., Lu, J., Lee, S., Batra, D., Parikh, D.: Graph r-cnn for scene graph generation. In: ECCV (2018)
2018
Later among the works it cites.
Yang, X., Zhang, H., Cai, J.: Shuffle-then-assemble: learning object-agnostic visual relationship features. In: ECCV (2018)
2018
Later among the works it cites.
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Xu, D., Zhu, Y., Choy, C.B., Fei-Fei, L.: Scene graph generation by iterative message passing. In: CVPR (2017)
2017
Cited alongside, same era.
Yin, X., Ordonez, V.: Obj2text: Generating visually descriptive language from object layouts. In: EMNLP (2017)
2017
Cited alongside, same era.
Zhang, H., Kyaw, Z., Yu, J., Chang, S.F.: Ppr-fcn: Weakly supervised visual relation detection via parallel pairwise r-fcn. In: ICCV (2017)
2017
Cited alongside, same era.
Zhuang, B., Liu, L., Shen, C., Reid, I.: Towards context-aware interaction recognition for visual relationship detection. In: ICCV (2017)
2017
Cited alongside, same era.
Fang, H.S., Cao, J., Tai, Y.W., Lu, C.: Pairwise body-part attention for recognizing human-object interactions. In: ECCV (2018)
2018
Cited alongside, same era.
Gao, C., Zou, Y., Huang, J.B.: iCAN: Instance-centric attention network for human-object interaction detection. In: BMVC (2018)
2018
Cited alongside, same era.
Girshick, R., Radosavovic, I., Gkioxari, G., Dollár, P., He, K.: Detectron. https://github.com/facebookresearch/detectron (2018)
2018
Cited alongside, same era.
Yi, K., Wu, J., Gan, C., Torralba, A., Kohli, P., Tenenbaum, J.B.: Neural-symbolic vqa: Disentangling reasoning from vision and language understanding. In: NeurIPS (2018)
2018
Later among the works it cites.
Zellers, R., Yatskar, M., Thomson, S., Choi, Y.: Neural motifs: Scene graph parsing with global context. In: CVPR (2018)
2018
Later among the works it cites.
Girdhar, R., Carreira, J., Doersch, C., Zisserman, A.: Video action transformer network. In: CVPR (2019)
2019
Later among the works it cites.
Gupta, T., Schwing, A., Hoiem, D.: No-frills human-object interaction detection: Factorization, appearance and layout encodings, and training techniques. In: ICCV (2019)
2019
Later among the works it cites.
Kolesnikov, A., Lampert, C.H., Ferrari, V.: Detecting visual relationships using box attention. In: ICCV (2019)
2019
Later among the works it cites.
Li, Y.L., Zhou, S., Huang, X., Xu, L., Ma, Z., Fang, H.S., Wang, Y.F., Lu, C.: Transferable interactiveness prior for human-object interaction detection. In: CVPR (2019)
2019
Later among the works it cites.
Peyre, J., Laptev, I., Schmid, C., Sivic, J.: Detecting rare visual relations using analogies. In: ICCV (2019)
2019
Later among the works it cites.
Wan, B., Zhou, D., Zhou, Y., Li, R., He, X.: Pose-aware multi-level feature network for human object interaction detection. In: ICCV (2019)
2019
Later among the works it cites.
Wang, T., Anwer, R.M., Khan, M.H., Khan, F.S., Pang, Y., Shao, L., Laaksonen, J.: Deep contextual attention for human-object interaction detection. In: ICCV (2019)
2019
Later among the works it cites.
Zhou, P., Chi, M.: Relation parsing neural network for human-object interaction detection. In: ICCV (2019)
2019
Later among the works it cites.
Bansal, A., Rambhatla, S.S., Shrivastava, A., Chellappa, R.: Detecting human-object interactions via functional generalization. In: AAAI (2020)
2020
Closest in time.
Liao, Y., Liu, S., Wang, F., Chen, Y., Qian, C., Feng, J.: Ppdm: Parallel point detection and matching for real-time human-object interaction detection. In: CVPR (2020)
2020
Closest in time.