One paper accepted to NIPS 2017

I have one paper accepted to NIPS 2017. Congrats Dan!

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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), Long Beach, California, USA, 2017.

One paper accepted to ICCV 2017

DIAL1Our paper:

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.

has been accepted at ICCV 2017! See you in Venice.

Code can be found here.

Three papers accepted at CVPR 2017

 

  • 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.
  • 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.
  • 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.

 

Two papers accepted at RA-L 2017

I have two novel papers accepted in IEEE Robotics and Automation Letters, 2017. Congrats to Lorenzo and Massimiliano!

L.Porzi, S.Rota, A.Peñate-Sánchez, E.Ricci, F.Moreno-Noguer, Learning Depth-aware Deep Representations for Robotic Perception, To appear in Robotics and Automation Letters (RA-L), 2(2): 468-475 2017

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.

SALSA dataset published on IEEE Trans. PAMI

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Our paper presenting the SALSA dataset for analyzing free standing conversational groups from a camera network and sociometric badges has been published on PAMI:

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 Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2016.

Check the DATASET