Here you can find a list of recent selected papers. Check my Google Scholar profile for the full list!

Journal articles


D.Xu, E. Ricci, W. Ouyang, X. Wang, N. Sebe, Monocular depth estimation using multi-scale continuous CRFs as sequential deep networks. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 41(6), 1426-1440, 2018. (pdf)


A. Siarohin, G. Zen, C. Majtanovic, X. Alameda-Pineda, E. Ricci, N. Sebe. Increasing Image Memorability with Neural Style Transfer. IEEE Trans on Multimedia Computing Communications and Applications, 2019. (pdf)


M. Mancini, L. Porzi, S. Rota Bulò, B. Caputo, E. Ricci: Inferring Latent Domains for Unsupervised Deep Domain Adaptation, IEEE Tran. on Pattern Analysis and Machine Intelligence (PAMI), accepted.


J. Varadarajan, R. Subramanian, S. Rota-Bulò, N. Ahuja, O. Lanz, E.Ricci, Joint Estimation of Human Pose and Conversational Groups from Social Scenes, International Journal of Computer Vision, 2019. (pdf)



Conference papers



R.Berriel, S. Lathuilière, M. Nabi, T. Klein, T. Oliveira-Santos, N. Sebe, E. Ricci, Budget-aware adapter for multi-domain learning, ICCV 2019


M. Mancini, S.R. Bulò, B. Caputo, E. Ricci, “AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs”, CVPR 2019. (Spotlight Oral, 8% acceptance rate)


A. Pilzer, S. Lathuilière, N. Sebe, E. Ricci, “Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation”, CVPR 2019.


S Roy, A Siarohin, E Sangineto, SR Bulo, N Sebe, E Ricci, Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss, CVPR 2019.


A Siarohin, S Lathuilière, S Tulyakov, E Ricci, N Sebe, Animating arbitrary objects via deep motion transfer, CVPR 2019. (Spotlight Oral, 8% acceptance rate)