Fetching the paper…
Reading the bibliography…
Emotions are usually evoked in humans by images.
Psychological Review 61
Schlosberg, H.: Three dimensions of emotion · 1954
Earlier work this paper cites.
Harpercollins College Division (1980)
Plutchik, R.: Emotion: A psychoevolutionary synthesis · 1980
Earlier work this paper cites.
Simon and Schuster (1986)
Minsky, M.: The Society of mind · 1986
Earlier work this paper cites.
Cognition & Emotion 6
Ekman, P.: An argument for basic emotions · 1992
Earlier work this paper cites.
NIMH Center for the Study of Emotion and Attention pp. 39–58 (1997)
Lang, P.J., Bradley, M.M., Cuthbert, B.N.: International affective picture system (iaps): Technical manual and affective ratings · 1997
Earlier work this paper cites.
In: IEEE International Conference on Computer Vision, pp. 1150–1157 (1999)
Lowe, D.G.: Object recognition from local scale-invariant features · 1999
Earlier work this paper cites.
MIT press (2000)
Picard, R.W.: Affective computing · 2000
Earlier work this paper cites.
IEEE Transactions on Pattern Analysis and Machine Intelligence 22
Smeulders, A.W., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-based image retrieval at the end of the early years · 2000
Earlier work this paper cites.
Psychology Press (2001)
Parrott, W.G.: Emotions in social psychology: Essential readings · 2001
Earlier work this paper cites.
Journal of New Music Research 33
Juslin, P.N., Laukka, P.: Expression, perception, and induction of musical emotions: A review and a questionnaire study of everyday listening · 2004
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 886–893 (2005)
Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection · 2005
Earlier work this paper cites.
Behavior Research Methods 37
Mikels, J.A., Fredrickson, B.L., Larkin, G.R., Lindberg, C.M., Maglio, S.J., Reuter-Lorenz, P.A.: Emotional category data on images from the international affective picture system · 2005
Earlier work this paper cites.
IEEE Signal Processing Magazine 23
Hanjalic, A.: Extracting moods from pictures and sounds: Towards truly personalized tv · 2006
Earlier work this paper cites.
Pattern Recognition 40
Liu, Y., Zhang, D., Lu, G., Ma, W.Y.: A survey of content-based image retrieval with high-level semantics · 2007
Earlier work this paper cites.
Journal of Machine Learning Research 9
Fan, R.E., Chang, K.W., Hsieh, C.J., Wang, X.R., Lin, C.J.: Liblinear: A library for large linear classification · 2008
Earlier work this paper cites.
Information Retrieval 2
Pang, B., Lee, L.: Opinion mining and sentiment analysis · 2008
Earlier work this paper cites.
In: IEEE International Conference on Image Processing, pp. 117–120 (2008)
Wang, W., He, Q.: A survey on emotional semantic image retrieval · 2008
Earlier work this paper cites.
In: IEEE International Conference on Image Processing, pp. 101–104 (2008)
Yanulevskaya, V., Van Gemert, J., Roth, K., Herbold, A., Sebe, N., Geusebroek, J.: Emotional valence categorization using holistic image features · 2008
Earlier work this paper cites.
In: ACM International Conference on Multimedia, pp. 83–92 (2010)
Machajdik, J., Hanbury, A.: Affective image classification using features inspired by psychology and art theory · 2010
Earlier work this paper cites.
International AAAI Conference on Weblogs and Social Media 10
Tumasjan, A., Sprenger, T.O., Sandner, P.G., Welpe, I.M.: Predicting elections with twitter: What 140 characters reveal about political sentiment · 2010
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 2638–2644 (2010)
Yang, P., Liu, Q., Metaxas, D.N.: Exploring facial expressions with compositional features · 2010
Earlier work this paper cites.
Behavior Research Methods 43
Dan-Glauser, E.S., Scherer, K.R.: The geneva affective picture database (gaped): a new 730-picture database focusing on valence and normative significance · 2011
Earlier work this paper cites.
IEEE Transactions on Multimedia 13
Lee, J., Park, E.: Fuzzy similarity-based emotional classification of color images · 2011
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1297–1304 (2011)
Shotton, J., Fitzgibbon, A., Cook, M., Sharp, T., Finocchio, M., Moore, R., Kipman, A., Blake, A.: Real-time human pose recognition in parts from single depth images · 2011
Earlier work this paper cites.
In: Advances in Neural Information Processing Systems, pp. 1097–1105 (2012)
Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks · 2012
Earlier work this paper cites.
In: ACM International Conference on Multimedia, pp. 229–238 (2012)
Lu, X., Suryanarayan, P., Adams Jr, R.B., Li, J., Newman, M.G., Wang, J.Z.: On shape and the computability of emotions · 2012
Earlier work this paper cites.
Image and Vision Computing 30
Sandbach, G., Zafeiriou, S., Pantic, M., Rueckert, D.: Recognition of 3d facial expression dynamics · 2012
Earlier work this paper cites.
ACM Transactions on Intelligent Systems and Technology 3
Yang, Y.H., Chen, H.H.: Machine recognition of music emotion: A review · 2012
Earlier work this paper cites.
In: ACM International Conference on Multimedia, pp. 223–232 (2013)
Borth, D., Ji, R., Chen, T., Breuel, T., Chang, S.F.: Large-scale visual sentiment ontology and detectors using adjective noun pairs · 2013
Earlier work this paper cites.
IEEE Transactions on Pattern Analysis and Machine Intelligence 35
Geng, X., Yin, C., Zhou, Z.H.: Facial age estimation by learning from label distributions · 2013
Cited alongside, same era.
Academic Press (2013)
Plutchik, R., Kellerman, H.: Theories of emotion, vol. 1 · 2013
Cited alongside, same era.
In: International Workshop on Issues of Sentiment Discovery and Opinion Mining, pp. 1–8 (2013)
Yuan, J., Mcdonough, S., You, Q., Luo, J.: Sentribute: image sentiment analysis from a mid-level perspective · 2013
Cited alongside, same era.
In: ACM International Conference on Multimedia, pp. 367–376 (2014)
Chen, T., Yu, F.X., Chen, J., Cui, Y., Chen, Y.Y., Chang, S.F.: Object-based visual sentiment concept analysis and application · 2014
Cited alongside, same era.
Behavior Research Methods 46
Marchewka, A., Żurawski, Ł., Jednoróg, K., Grabowska, A.: The nencki affective picture system (naps): Introduction to a novel, standardized, wide-range, high-quality, realistic picture database · 2014
Cited alongside, same era.
IEEE Transactions on Multimedia 19
Zhao, S., Yao, H., Gao, Y., Ji, R., Ding, G.: Continuous probability distribution prediction of image emotions via multi-task shared sparse regression · 2017
Later among the works it cites.
In: IEEE International Conference on Computer Vision, pp. 2223–2232 (2017)
Zhu, J.Y., Park, T., Isola, P., Efros, A.A.: Unpaired image-to-image translation using cycle-consistent adversarial networks · 2017
Later among the works it cites.
In: International Joint Conference on Artificial Intelligence, pp. 3595–3601 (2017)
Zhu, X., Li, L., Zhang, W., Rao, T., Xu, M., Huang, Q., Xu, D.: Dependency exploitation: a unified cnn-rnn approach for visual emotion recognition · 2017
Later among the works it cites.
Multimedia Tools and Applications 77
Alarcão, S.M., Fonseca, M.J.: Identifying emotions in images from valence and arousal ratings · 2018
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 7521–7531 (2018)
Fan, S., Shen, Z., Jiang, M., Koenig, B.L., Xu, J., Kankanhalli, M.S., Zhao, Q.: Emotional attention: A study of image sentiment and visual attention · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Munezero, M.D., Montero, C.S., Sutinen, E., Pajunen, J.: Are they different? affect, feeling, emotion, sentiment, and opinion detection in text · 2014
Cited alongside, same era.
Tourism Management 40
Pan, S., Lee, J., Tsai, H.: Travel photos: Motivations, image dimensions, and affective qualities of places · 2014
Cited alongside, same era.
In: IEEE International Conference on Image Processing, pp. 4637–4641 (2014)
Peng, K.C., Karlsson, K., Chen, T., Zhang, D.Q., Yu, H.: A framework of changing image emotion using emotion prediction · 2014
Cited alongside, same era.
Xu, C., Cetintas, S., Lee, K., Li, L.: Visual sentiment prediction with deep convolutional neural networks · 2014
Cited alongside, same era.
In: ACM International Conference on Multimedia, pp. 47–56 (2014)
Zhao, S., Gao, Y., Jiang, X., Yao, H., Chua, T.S., Sun, X.: Exploring principles-of-art features for image emotion recognition · 2014
Cited alongside, same era.
In: ACM International Conference on Multimedia, pp. 1025–1028 (2014)
Zhao, S., Yao, H., Yang, Y., Zhang, Y.: Affective image retrieval via multi-graph learning · 2014
Cited alongside, same era.
In: IEEE International Conference on Image Processing, pp. 4491–4495 (2015)
Chen, M., Zhang, L., Allebach, J.P.: Learning deep features for image emotion classification · 2015
Cited alongside, same era.
In: International Conference on Machine Learning, pp. 1989–1998 (2018)
Hoffman, J., Tzeng, E., Park, T., Zhu, J.Y., Isola, P., Saenko, K., Efros, A., Darrell, T.: Cycada: Cycle-consistent adversarial domain adaptation · 2018
Later among the works it cites.
Communications of the ACM 61
Schuller, B.W.: Speech emotion recognition: two decades in a nutshell, benchmarks, and ongoing trends · 2018
Later among the works it cites.
Neurocomputing 312
Song, K., Yao, T., Ling, Q., Mei, T.: Boosting image sentiment analysis with visual attention · 2018
Later among the works it cites.
In: AAAI Conference on Artificial Intelligence, pp. 491–498 (2018)
Yang, J., She, D., Lai, Y., Yang, M.H.: Retrieving and classifying affective images via deep metric learning · 2018
Later among the works it cites.
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8
Zhang, L., Wang, S., Liu, B.: Deep learning for sentiment analysis: A survey · 2018
Later among the works it cites.
In: International Joint Conferences on Artificial Intelligence, pp. 5534–5541 (2018)
Zhao, S., Ding, G., Huang, Q., Chua, T.S., Schuller, B.W., Keutzer, K.: Affective image content analysis: A comprehensive survey · 2018
Later among the works it cites.
IEEE Transactions on Affective Computing 9
Zhao, S., Yao, H., Gao, Y., Ding, G., Chua, T.S.: Predicting personalized image emotion perceptions in social networks · 2018
Later among the works it cites.
IEEE Transactions on Affective Computing 10
Alarcao, S.M., Fonseca, M.J.: Emotions recognition using eeg signals: A survey · 2019
Later among the works it cites.
In: AAAI Conference on Artificial Intelligence, pp. 236–246 (2019)
Guntuku, S.C., Preotiuc-Pietro, D., Eichstaedt, J.C., Ungar, L.H.: What twitter profile and posted images reveal about depression and anxiety · 2019
Later among the works it cites.
In: IEEE International Conference on Computer Vision, pp. 1151–1160 (2019)
Zhan, C., She, D., Zhao, S., Cheng, M.M., Yang, J.: Zero-shot emotion recognition via affective structural embedding · 2019
Later among the works it cites.
In: ACM International Conference on Multimedia, pp. 192–201 (2019)
Zhao, S., Jia, Z., Chen, H., Li, L., Ding, G., Keutzer, K.: Pdanet: Polarity-consistent deep attention network for fine-grained visual emotion regression · 2019
Later among the works it cites.
ACM Transactions on Multimedia Computing, Communications, and Applications 15
Zhao, S., Wang, S., Soleymani, M., Joshi, D., Ji, Q.: Affective computing for large-scale heterogeneous multimedia data: A survey · 2019
Later among the works it cites.
IEEE Transactions on Pattern Analysis and Machine Intelligence 42
Kosti, R., Alvarez, J., Recasens, A., Lapedriza, A.: Context based emotion recognition using emotic dataset · 2020
Later among the works it cites.
IEEE Transactions on Affective Computing (2020)
Li, S., Deng, W.: Deep facial expression recognition: A survey · 2020
Later among the works it cites.
Neural Processing Letters 51
Rao, T., Xu, M., Xu, D.: Learning multi-level deep representations for image emotion classification · 2020
Later among the works it cites.
IEEE Transactions on Multimedia 22
She, D., Yang, J., Cheng, M.M., Lai, Y.K., Rosin, P.L., Wang, L.: Wscnet: Weakly supervised coupled networks for visual sentiment classification and detection · 2020
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 13106–13115 (2020)
Wei, Z., Zhang, J., Lin, Z., Lee, J.Y., Balasubramanian, N., Hoai, M., Samaras, D.: Learning visual emotion representations from web data · 2020
Later among the works it cites.
IEEE Transactions on Multimedia (2020)
Yao, X., Zhao, S., Lai, Y.K., She, D., Liang, J., Yang, J.: Apse: Attention-aware polarity-sensitive embedding for emotion-based image retrieval · 2020
Later among the works it cites.
IEEE Transactions on Affective Computing 11
Zhao, S., Ding, G., Gao, Y., Zhao, X., Tang, Y., Han, J., Yao, H., Huang, Q.: Discrete probability distribution prediction of image emotions with shared sparse learning · 2020
Later among the works it cites.
In: ACM International Conference on Multimedia, pp. 2945–2954 (2020)
Zhao, S., Li, Y., Yao, X., Nie, W., Xu, P., Yang, J., Keutzer, K.: Emotion-based end-to-end matching between image and music in valence-arousal space · 2020
Later among the works it cites.
In: AAAI Conference on Artificial Intelligence, pp. 303–311 (2020)
Zhao, S., Ma, Y., Gu, Y., Yang, J., Xing, T., Xu, P., Hu, R., Chai, H., Keutzer, K.: An end-to-end visual-audio attention network for emotion recognition in user-generated videos · 2020
Later among the works it cites.
IEEE Transactions on Cybernetics (2021)
Zhao, S., Chen, X., Yue, X., Lin, C., Xu, P., Krishna, R., Yang, J., Ding, G., Sangiovanni-Vincentelli, A.L., Keutzer, K.: Emotional semantics-preserved and feature-aligned cyclegan for visual emotion adaptation · 2021
Closest in time.
IEEE Transactions on Neural Networks and Learning Systems (2021)
Zhao, S., Yue, X., Zhang, S., Li, B., Zhao, H., Wu, B., Krishna, R., Gonzalez, J.E., Sangiovanni-Vincentelli, A.L., Seshia, S.A., Keutzer, K.: A review of single-source deep unsupervised visual domain adaptation · 2021
Closest in time.