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Home » Archives for Rakesh Kumar » Page 2
Rakesh Kumar

Rakesh Kumar

Vice President, Information and Computing Sciences Director, Center for Vision Technologies
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Publications

2d-3d reasoning and augmented reality publications October 12, 2020

RGB2LIDAR: Towards Solving Large-Scale Cross-Modal Visual Localization

Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar

We study an important, yet largely unexplored problem of large-scale cross-modal visual localization by matching ground RGB images to a geo-referenced aerial LIDAR 3D point cloud.

2d-3d reasoning and augmented reality publications September 9, 2019

Semantically-Aware Attentive Neural Embeddings for 2D Long-Term Visual Localization

Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar

We present an approach that combines appearance and semantic information for 2D image-based localization (2D-VL) across large perceptual changes and time lags.

Machine learning publications June 18, 2018

Evaluating Visual-Semantic Explanations using a Collaborative Image Guessing Game

Yi Yao, Rakesh Kumar

Abstract While there have been many proposals on making AI algorithms explainable, few have attempted to evaluate the impact of AI-generated explanations on human performance in conducting human-AI collaborative tasks. To bridge the gap, we propose a Twenty-Questions style collaborative image retrieval game, Explanation-assisted Guess Which (ExAG), as a method of evaluating the efficacy of […]

2d-3d reasoning and augmented reality publications March 18, 2018

Augmented Reality Driving Using Semantic Geo-Registration

Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar

We propose a new approach that utilizes semantic information to register 2D monocular video frames to the world using 3D georeferenced data, for augmented reality driving applications.

Computer vision publications October 16, 2017

Utilizing Semantic Visual Landmarks for Precise Vehicle Navigation

Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar

This paper presents a new approach for integrating semantic information for vision-based vehicle navigation.

Computer vision publications November 1, 2016

Sub-Meter Vehicle Navigation Using Efficient Pre-Mapped Visual Landmarks

Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar

This paper presents a vehicle navigation system that is capable of achieving sub-meter GPS-denied navigation accuracy in large-scale urban environments, using pre-mapped visual landmarks.

Computer vision publications January 1, 2015

AR-Weapon: Live Augmented Reality Based First-Person Shooting System

Rakesh Kumar, Supun Samarasekera

This paper introduces a user-worn Augmented Reality (AR) based first-person weapon shooting system (AR-Weapon), suitable for both training and gaming.

Computer vision publications September 1, 2014

Precise Vision-Aided Aerial Navigation

Supun Samarasekera, Han-Pang Chiu, Rakesh Kumar

This paper proposes a novel vision-aided navigation approach that continuously estimates precise 3D absolute pose for aerial vehicles, using only inertial measurements and monocular camera observations.

Computer vision publications September 1, 2014

AR-Mentor: Augmented Reality Based Mentoring System

Louise Yarnall, Supun Samarasekera, Rakesh Kumar

The system combines a wearable Optical-See-Through (OST) display device with high precision 6-Degree-Of-Freedom (DOF) pose tracking and a virtual personal assistant (VPA) with natural language, verbal conversational interaction, providing guidance to the user in the form of visual, audio and locational cues.

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