267 citations · 370 across the 23 of their papers we have counts for
6 papers · 1 filter
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…
Improving Shape Deformation in Unsupervised Image-to-Image Translation
Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie +2
Unsupervised image-to-image translation techniques are able to map local texture between two domains, but they are typically unsuccessful when the domains require larger shape chan…
Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios
Juil Sock, Kwang In Kim, Caner Sahin +1
In bin-picking scenarios, multiple instances of an object of interest are stacked in a pile randomly, and hence, the instances are inherently subjected to the challenges: severe oc…
Unsupervised Attention-guided Image to Image Translation
Youssef A. Mejjati, Christian Richardt, James Tompkin +2
Current unsupervised image-to-image translation techniques struggle to focus their attention on individual objects without altering the background or the way multiple objects inter…
Augmented Skeleton Space Transfer for Depth-based Hand Pose Estimation
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
Crucial to the success of training a depth-based 3D hand pose estimator (HPE) is the availability of comprehensive datasets covering diverse camera perspectives, shapes, and pose v…
Ranking CGANs: Subjective Control over Semantic Image Attributes
Yassir Saquil, Kwang In Kim, Peter Hall
In this paper, we investigate the use of generative adversarial networks in the task of image generation according to subjective measures of semantic attributes. Unlike the standar…