Publications

Recent selected papers (FULL LIST here). Check also my Google Scholar profile.


Journal articles

cnn-multiscale

L. Porzi, S. Rota Bulò, A. Penate-Sanchez, E.Ricci, F. Moreno-Noguer, “Learning Depth-aware Representations for Robotic Perception” Robotics and Automation Letters (RA-L), 2017.

 

 

FFJ. 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 (IJCV), online first, 1-20, 2017.

 

Occlusions

 

M.Mancini, S. Rota Bulò, E. Ricci, B. Caputo, Learning Deep NBNN Representations for Robust Place Categorization”, IEEE Robotics and Automation Letters, 2(3): 1794-1801, 2017.

 

HP

 

Y. Yan, E. Ricci, G. Liu, O. Lanz, N. Sebe. “A Multi-task Learning Framework for Head Pose Estimation under Target Motion”, IEEE Trans. on Pattern Analysis and Machine Intelligence, 2016.

 

SALSA

 

X. Alameda-Pineda, J. Staiano, R. Subramanian, L. M. Batrinca, E. Ricci, B. Lepri, O. Lanz, N. Sebe. “SALSA: A Novel Dataset for Multimodal Group Behavior Analysis”. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2016.

 

 


Conference papers

97010

 

D.Xu, W. Ouyang, X. Alameda-Pineda, E. Ricci, X. Wang, and N. Sebe, “Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction”, Neural Information Processing Systems (NIPS), , 2017.

 
DIAL1

F. M. Carlucci, L. Porzi, B. Caputo, E. Ricci, and S. Rota Bulò, “AutoDIAL: Automatic Domain Alignment Layers”, International Conference on Computer Vision (ICCV), 2017.

 

 

depth_2_orig

D.Xu, E. Ricci, W. Ouyang, X. Wang, N. Sebe, “Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation”, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017. Spotlight

 

pedestrian1_orig

 

D.Xu, W. Ouyang, E. Ricci, X. Wang, N. Sebe, “Learning Cross-Modal Deep Representations for Robust Pedestrian Detection”,in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

virality_1

 

X. Alameda-Pineda, A. Pilzer, D. Xu, N.Sebe, E. Ricci, “Viraliency: pooling local virality,” in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

 

HR

S. Tulyakov, X. Alameda-Pineda, E. Ricci, L. Yin, J. F. Cohn, and N. Sebe, “Self-Adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions,” in IEEE Int. Conf. on Computer Vision and Pattern Recognition,  2016. Oral

 

 

acmmmxavi

 

X. Alameda-Pineda, Y. Yan, E. Ricci, O. Lanz, N. Sebe, “Analyzing Free-standing Conversational Groups: a Multimodal Approach”, In ACM International Conference on Multimedia, Brisbane, Australia, 2015. Best Paper Award

 

FFormationsE. Ricci, J. Varadarajan, R. Subramanian, S. Rota Bulò, N. Ahuja, O. Lanz, “Uncovering Interactions and Interactors: Joint Estimation of Head, Body Orientation and F-formations from Surveillance Videos”, International Conference on Computer Vision (ICCV), 2015. Oral

 

safe?

 

L.Porzi, S.Rota-Bulò, B.Lepri, E. Ricci, “Predicting and Understanding Urban Perception with Convolutional Neural Networks”, In ACM International Conference on Multimedia, Brisbane, Australia, 2015.  Oral