11 citations · 21 across the 4 of their papers we have counts for
5 papers
Labeling Indoor Scenes with Fusion of Out-of-the-Box Perception Models
Yimeng Li, Navid Rajabi, Sulabh Shrestha +2
The image annotation stage is a critical and often the most time-consuming part required for training and evaluating object detection and semantic segmentation models. Deployment o…
Error Diagnosis of Deep Monocular Depth Estimation Models
Jagpreet Chawla, Nikhil Thakurdesai, Anuj Godase +3
Estimating depth from a monocular image is an ill-posed problem: when the camera projects a 3D scene onto a 2D plane, depth information is inherently and permanently lost. Neverthe…
A Computational Model of Early Word Learning from the Infant's Point of View
Satoshi Tsutsui, Arjun Chandrasekaran, Md Alimoor Reza +2
Human infants have the remarkable ability to learn the associations between object names and visual objects from inherently ambiguous experiences. Researchers in cognitive science…
Multiview RGB-D Dataset for Object Instance Detection
Georgios Georgakis, Md Alimoor Reza, Arsalan Mousavian +2
This paper presents a new multi-view RGB-D dataset of nine kitchen scenes, each containing several objects in realistic cluttered environments including a subset of objects from th…
Reinforcement Learning for Semantic Segmentation in Indoor Scenes
Md. Alimoor Reza, Jana Kosecka
Future advancements in robot autonomy and sophistication of robotics tasks rest on robust, efficient, and task-dependent semantic understanding of the environment. Semantic segment…