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While semantic communications have shown the potential in the case of single-modal single-users, its applications to the multi-user scenario remain limited.
S. Hochreiter and J. Schmidhuber, “Long short-term memory,” Neural Comput. , vol. 9, no. 8, pp. 1735–1780, 1997
1997
Earlier work this paper cites.
J. Johnson, B. Hariharan, L. van der Maaten, L. Fei-Fei, C. L. Zitnick, and R. B. Girshick, “CLEVR: A diagnostic dataset for compositional language and elementary visual reasoning,” in Proc. IEEE Conf. Comput. Vision Pattern Recognit. (CVPR) , Honolulu, HI, USA, Jul. 2017, pp. 1988–1997
1997
Earlier work this paper cites.
A. Goldsmith, Wireless Communications . Cambridge university press, 2005
2005
Earlier work this paper cites.
C. Wah, S. Branson, P. Welinder, P. Perona, and S. Belongie, “The caltech-ucsd birds-200-2011 dataset,” California Institute of Technology, Tech. Rep. CNS-TR-2011-001, 2011
2011
Earlier work this paper cites.
N. Kalchbrenner and P. Blunsom, “Recurrent continuous translation models,” in Proc. Conf. Empir. Methods Natural Language Processing (EMNLP) , Seattle, Washington, USA, Oct. 2013, pp. 1700–1709
2013
Earlier work this paper cites.
J. Krause, M. Stark, J. Deng, and L. Fei-Fei, “3D object representations for fine-grained categorization,” in Proc. IEEE Int’l Conf. Comput. Vision Workshops (ICCV) , Sydney, Australia, Dec. 2013, pp. 554–561
2013
Earlier work this paper cites.
L. Lu, G. Y. Li, A. L. Swindlehurst, A. E. Ashikhmin, and R. Zhang, “An overview of massive MIMO: benefits and challenges,” IEEE J. Select. Top. Signal Processing , vol. 8, no. 5, pp. 742–758, Apr. 2014
2014
Earlier work this paper cites.
K. Cho, B. van Merrienboer, Ç. Gülçehre, D. Bahdanau, F. Bougares, H. Schwenk, and Y. Bengio, “Learning phrase representations using RNN encoder-decoder for statistical machine translation,” in Proc. Conf. Empir. Methods Natural Language Processing (EMNLP) , Doha, Qatar, Oct. 2014, pp. 1724–1734
2014
Earlier work this paper cites.
P. Wang, Y. Li, L. Song, and B. Vucetic, “Multi-gigabit millimeter wave wireless communications for 5G: From fixed access to cellular networks,” IEEE Commun. Mag. , vol. 53, no. 1, pp. 168–178, Jan. 2015
2015
Earlier work this paper cites.
A. Babenko and V. Lempitsky, “Aggregating local deep features for image retrieval,” in Proc. IEEE Conf. Comput. Vision Pattern Recognit. (CVPR) , Boston, MA, USA, Jun. 2015, pp. 1269–1277
2015
Earlier work this paper cites.
F. Meng, Z. Lu, M. Wang, H. Li, W. Jiang, and Q. Liu, “Encoding source language with convolutional neural network for machine translation,” in Proc. of Annual Meeting of the Assoc. for Computational Linguistics and Int’l Joint Conf. Natural Language Processing of the Asian Fed. of Natural Language Processing , Beijing, China, Jul. 2015, pp. 20–30
2015
Earlier work this paper cites.
2015
Earlier work this paper cites.
G. Tolias, R. Sicre, and H. Jégou, “Particular object retrieval with integral max-pooling of cnn activations,” in Proc. Int’l. Conf. Learn. Representations (ICLR) , San Juan, Puerto Rico, May 2016, pp. 1–12
2016
Earlier work this paper cites.
A. Gordo, J. Almazán, J. Revaud, and D. Larlus, “Deep image retrieval: Learning global representations for image search,” in Proc. Eur. Conf. Comput. Vision (ECCV) , Amsterdam, The Netherlands, Oct. 2016, pp. 241–257
2016
Earlier work this paper cites.
Z. Yang, X. He, J. Gao, L. Deng, and A. J. Smola, “Stacked attention networks for image question answering,” in Proc. IEEE Conf. Comput. Vision Pattern Recognit. (CVPR) , Las Vegas, NV, USA, Jun. 2016, pp. 21–29
2016
Earlier work this paper cites.
H. O. Song, Y. Xiang, S. Jegelka, and S. Savarese, “Deep metric learning via lifted structured feature embedding,” in Proc. IEEE Conf. Comput. Vision Pattern Recognit. (CVPR) , Las Vegas, NV, USA, Jun. 2016, pp. 4004–4012
2016
Cited alongside, same era.
Z. Liu, P. Luo, S. Qiu, X. Wang, and X. Tang, “DeepFashion: Powering robust clothes recognition and retrieval with rich annotations,” in Proc. IEEE Conf. Comput. Vision Pattern Recognit. (CVPR) , Las Vegas, NV, USA, Jun. 2016, pp. 1096–1104
2016
Cited alongside, same era.
K. Sayood, Introduction to Data Compression . Morgan Kaufmann, 2017
2017
Cited alongside, same era.
D. Ramachandram and G. W. Taylor, “Deep multimodal learning: A survey on recent advances and trends,” IEEE Signal Processing Mag. , vol. 34, no. 6, pp. 96–108, Nov. 2017
2017
Cited alongside, same era.
H. Zou, J. Yang, H. P. Das, H. Liu, Y. Zhou, and C. J. Spanos, “Wifi and vision multimodal learning for accurate and robust device-free human activity recognition,” in Proc. IEEE Conf. Comput. Vision Pattern Recognit. Workshops (CVPR) , Long Beach, CA, USA, Jun. 2019, pp. 426–433
2019
Later among the works it cites.
Y. Gu, S. Wang, H. Zhang, Y. Yao, W. Yang, and L. Liu, “Clustering-driven unsupervised deep hashing for image retrieval,” Neurocomputing , vol. 368, pp. 114–123, Nov. 2019
2019
Later among the works it cites.
Z. Yu, J. Yu, Y. Cui, D. Tao, and Q. Tian, “Deep modular co-attention networks for visual question answering,” in Proc. IEEE Conf. Comput. Vision Pattern Recognit. (CVPR) , Long Beach, CA, USA, Jun. 2019, pp. 6281–6290
2019
Later among the works it cites.
D. B. Kurka and D. Gündüz, “DeepJSCC-f: Deep joint source-channel coding of images with feedback,” IEEE J. Select. Areas Inf. Theory , vol. 1, no. 1, pp. 178–193, May 2020
2020
Later among the works it cites.
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2017
Cited alongside, same era.
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin, “Attention is all you need,” in Proc. Advances Neural Inf. Processing Systems (NIPS) , Long Beach, CA, USA, Dec. 2017, pp. 5998–6008
2017
Cited alongside, same era.
J. Kim, K. W. On, W. Lim, J. Kim, J. Ha, and B. Zhang, “Hadamard product for low-rank bilinear pooling,” in Int’l Conf. Learn. Representations (ICLR) , Toulon, France, Apr. 2017
2017
Cited alongside, same era.
C. Han and Y. Chen, “Propagation modeling for wireless communications in the Terahertz band,” IEEE Commun. Mag. , vol. 56, no. 6, pp. 96–101, Jun. 2018
2018
Cited alongside, same era.
N. Farsad, M. Rao, and A. Goldsmith, “Deep learning for joint source-channel coding of text,” in IEEE Proc. Int. Conf. Acoust., Speech Signal Processing (ICASSP) , Calgary, AB, Canada, Apr. 2018, pp. 2326–2330
2018
Cited alongside, same era.
C. Huang, S. Yang, Y. Pan, and H. Lai, “Object-location-aware hashing for multi-label image retrieval via automatic mask learning,” IEEE Trans. Image Processing , vol. 27, no. 9, pp. 4490–4502, May 2018
2018
Cited alongside, same era.
P. Anderson, X. He, C. Buehler, D. Teney, M. Johnson, S. Gould, and L. Zhang, “Bottom-up and top-down attention for image captioning and visual question answering,” in Proc. IEEE Conf. Comput. Vision Pattern Recognit. (CVPR) , Salt Lake City, UT, USA, Jun. 2018, pp. 6077–6086
2018
Cited alongside, same era.
K. B. Letaief, W. Chen, Y. Shi, J. Zhang, and Y. A. Zhang, “The roadmap to 6g: AI empowered wireless networks,” IEEE Commun. Mag. , vol. 57, no. 8, pp. 84–90, Aug. 2019
2019
Cited alongside, same era.
E. W. Teh, T. DeVries, and G. W. Taylor, “ProxyNCA++: Revisiting and revitalizing proxy neighborhood component analysis,” in Proc. Eur. Conf. Comput. Vision (ECCV) , Glasgow, UK, Aug. 2020, pp. 448–464
2020
Later among the works it cites.
M. Kountouris and N. Pappas, “Semantics-empowered communication for networked intelligent systems,” IEEE Commun. Mag. , vol. 59, no. 6, pp. 96–102, Jul. 2021
2021
Closest in time.
H. Xie, Z. Qin, G. Y. Li, and B. Juang, “Deep learning enabled semantic communication systems,” IEEE Trans. Signal Processing , vol. 69, pp. 2663–2675, Apr. 2021
2021
Closest in time.
H. Xie and Z. Qin, “A lite distributed semantic communication system for internet of things,” IEEE J. Select. Areas Commun. , vol. 39, no. 1, pp. 142–153, Jan. 2021
2021
Closest in time.
Z. Weng and Z. Qin, “Semantic communication systems for speech transmission,” IEEE J. Select. Areas Commun. , vol. 39, no. 8, pp. 2434–2444, Aug. 2021
2021
Closest in time.
M. Jankowski, D. Gündüz, and K. Mikolajczyk, “Wireless image retrieval at the edge,” IEEE J. Select. Areas Commun. , vol. 39, no. 1, pp. 89–100, Jan. 2021
2021
Closest in time.
2021
Closest in time.
2021
Closest in time.
A. Vakil, J. Liu, P. Zulch, E. Blasch, R. Ewing, and J. Li, “A survey of multimodal sensor fusion for passive rf and eo information integration,” IEEE Aerosp. Electron. Syst. Mag. , vol. 36, no. 7, pp. 44–61, Jul. 2021
2021
Closest in time.
2021
Closest in time.