205 citations · 931 across the 67 of their papers we have counts for
3 papers · 1 filter
Convex Optimisation for Inverse Kinematics
Tarun Yenamandra, Florian Bernard, Jiayi Wang +2
We consider the problem of inverse kinematics (IK), where one wants to find the parameters of a given kinematic skeleton that best explain a set of observed 3D joint locations. The…
Implicit Filter Sparsification In Convolutional Neural Networks
Dushyant Mehta, Kwang In Kim, Christian Theobalt
We show implicit filter level sparsity manifests in convolutional neural networks (CNNs) which employ Batch Normalization and ReLU activation, and are trained with adaptive gradien…
On Implicit Filter Level Sparsity in Convolutional Neural Networks
Dushyant Mehta, Kwang In Kim, Christian Theobalt
We investigate filter level sparsity that emerges in convolutional neural networks (CNNs) which employ Batch Normalization and ReLU activation, and are trained with adaptive gradie…