11 citations · 24 across the 8 of their papers we have counts for
15 papers · 1 filter
Self-supervised Pre-training for Semantic Segmentation in an Indoor Scene
Sulabh Shrestha, Yimeng Li, Jana Kosecka
The ability to endow maps of indoor scenes with semantic information is an integral part of robotic agents which perform different tasks such as target driven navigation, object se…
Object Pose Estimation using Mid-level Visual Representations
Negar Nejatishahidin, Pooya Fayyazsanavi, Jana Kosecka
This work proposes a novel pose estimation model for object categories that can be effectively transferred to previously unseen environments. The deep convolutional network models…
Generative Multi-Stream Architecture For American Sign Language Recognition
Dom Huh, Sai Gurrapu, Frederick Olson +3
With advancements in deep model architectures, tasks in computer vision can reach optimal convergence provided proper data preprocessing and model parameter initialization. However…
FineHand: Learning Hand Shapes for American Sign Language Recognition
Al Amin Hosain, Panneer Selvam Santhalingam, Parth Pathak +2
American Sign Language recognition is a difficult gesture recognition problem, characterized by fast, highly articulate gestures. These are comprised of arm movements with differen…
Learning View and Target Invariant Visual Servoing for Navigation
Yimeng Li, Jana Kosecka
The advances in deep reinforcement learning recently revived interest in data-driven learning based approaches to navigation. In this paper we propose to learn viewpoint invariant…
Hierarchical Kinematic Human Mesh Recovery
Georgios Georgakis, Ren Li, Srikrishna Karanam +3
We consider the problem of estimating a parametric model of 3D human mesh from a single image. While there has been substantial recent progress in this area with direct regression…