489 citations · 624 across the 26 of their papers we have counts for
6 papers · 1 filter
3D Bounding Box Estimation Using Deep Learning and Geometry
Arsalan Mousavian, Dragomir Anguelov, John Flynn +1
We present a method for 3D object detection and pose estimation from a single image. In contrast to current techniques that only regress the 3D orientation of an object, our method…
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…
Fast Single Shot Detection and Pose Estimation
Patrick Poirson, Phil Ammirato, Cheng-Yang Fu +3
For applications in navigation and robotics, estimating the 3D pose of objects is as important as detection. Many approaches to pose estimation rely on detecting or tracking parts…
Semantic Image Based Geolocation Given a Map
Arsalan Mousavian, Jana Kosecka
The problem visual place recognition is commonly used strategy for localization. Most successful appearance based methods typically rely on a large database of views endowed with l…
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…
Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks
Arsalan Mousavian, Hamed Pirsiavash, Jana Kosecka
Multi-scale deep CNNs have been used successfully for problems mapping each pixel to a label, such as depth estimation and semantic segmentation. It has also been shown that such a…