16 citations · 32 across the 9 of their papers we have counts for
5 papers · 1 filter
Weakly Supervised Instance Segmentation by Learning Annotation Consistent Instances
Aditya Arun, C. V. Jawahar, M. Pawan Kumar
Recent approaches for weakly supervised instance segmentations depend on two components: (i) a pseudo label generation model that provides instances which are consistent with a giv…
Dissimilarity Coefficient based Weakly Supervised Object Detection
Aditya Arun, C. V. Jawahar, M. Pawan Kumar
We consider the problem of weakly supervised object detection, where the training samples are annotated using only image-level labels that indicate the presence or absence of an ob…
Learning Human Poses from Actions
Aditya Arun, C. V. Jawahar, M. Pawan Kumar
We consider the task of learning to estimate human pose in still images. In order to avoid the high cost of full supervision, we propose to use a diverse data set, which consists o…
Efficient Relaxations for Dense CRFs with Sparse Higher Order Potentials
Thomas Joy, Alban Desmaison, Thalaiyasingam Ajanthan +5
Dense conditional random fields (CRFs) have become a popular framework for modelling several problems in computer vision such as stereo correspondence and multi-class semantic segm…
Coplanar Repeats by Energy Minimization
James Pritts, Denys Rozumnyi, M. Pawan Kumar +1
This paper proposes an automated method to detect, group and rectify arbitrarily-arranged coplanar repeated elements via energy minimization. The proposed energy functional combine…