We present a lightweight shell structure optimization method for 3D objects. We propose a heat based shape parametrization method to create shell structures with large thickness variations. With this method, we show that smooth internal surfaces can…

This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. DGE-1256082. The authors acknowledge support from the Defense Advanced Research Projects Agency (DARPA PA-18-01-FP-125), the A…

The authors would like to thank Jean-Daniel Boissonnat for his help throughout the elaboration of this paper. This work is partially supported by the Advanced Grant of the European Research Council GUDHI (Geometric Understanding in Higher Dimensions…

In this paper we introduced AMF, an online random forest algorithm based on a combination of Mondrian forests and an efficient implementation of an aggregation algorithm over all the prunings of the Mondrian partition. This algorithm is almost param…

In this paper, we have proved that the macroscopic Aw-Rascle traffic model [1], proposed independently also by Zhang [43], may be fruitfully explained as the hydrodynamic limit of an Enskog-type kinetic description. In particular, we have shown that…

We present a novel and easy-to-implement training framework for visual tracking. Our approach mainly focuses on learning feature embeddings in an end-to-end way, which can generalize well to the trackers based on online discriminatively trained ridg…

We presented a conceptually simple yet effective multi-task CNN architecture for SSL based on self-supervised learning. Our approach produces proxy labels from geometric transformations on unlabeled data, which are combined with ground truth labels …

We presented an energy functional for optimizing the training database in patch-based medical image segmentation algorithms. We define a ’sample rank’ order on the training database prototypes and formulate the prototype sampling as an energy minimi…

We propose a novel filter-level pruning method, COP, to address the limitations of previous works in the following aspects: removing redundancy among filters; enabling cross-layer importance comparison; generating fine-grained pruning strategies (se…