VCL to Participate in Three CVPR 2020 Workshops
Papers from three different teams within the Visual Computing Lab (VCL) have been accepted for publication at CVPR 2020 workshops:
> Deep Lighting Environment Map Estimation from Spherical Panoramas, authored by V. Gkitsas, N. Zioulis, F. Alvarez, D. Zarpalas, P. Daras has been accepted to the Omnidirectional Computer Vision workshop.
> Neural Network Compression Using Higher-Order Statistics and Auxiliary Reconstruction Losses, authored by C. Chatzikonstantinou, G. Papadopoulos, K. Dimitropoulos, P. Daras has been accepted to the Joint Workshop on Efficient Deep Learning in Computer Vision.
> Cross-modal Variational Alignment of Latent Spaces, authored by T. Theodoridis, T. Chatzis, V. Solachidis, K. Dimitropoulos, P. Daras has been accepted to the Workshop on Multimodal Learning.