activity
20182022
most citedDynamic Graph CNN for Learning on Point Clouds

287 citations · 728 across the 13 of their papers we have counts for

collaborators

13 papers

eess.SP2022

Introducing flexible perovskites to the IoT world using photovoltaic-powered wireless tags

Sai Nithin Reddy Kantareddy, Rahul Bhattacharya, Sanjay E. Sarma +6

Billions of everyday objects could become part of the Internet of Things (IoT) by augmentation with low-cost, long-range, maintenance-free wireless sensors. Radio Frequency Identif…

cs.SD2021★ 43 cited

Longitudinal Speech Biomarkers for Automated Alzheimer's Detection

Jordi Laguarta Soler, Brian Subirana

We introduce a novel audio processing architecture, the Open Voice Brain Model (OVBM), improving detection accuracy for Alzheimer's (AD) longitudinal discrimination from spontaneou…

cs.CR2021★ 9 cited

Proof of Travel for Trust-Based Data Validation in V2I Communication

Dajiang Suo, Baichuan Mo, Jinhua Zhao +1

Previous work on misbehavior detection and trust management for Vehicle-to-Everything (V2X) communication security is effective in identifying falsified and malicious V2X data. Eac…

cs.CV2020★ 1 cited

Frontier Detection and Reachability Analysis for Efficient 2D Graph-SLAM Based Active Exploration

Zezhou Sun, Banghe Wu, Cheng-Zhong Xu +3

We propose an integrated approach to active exploration by exploiting the Cartographer method as the base SLAM module for submap creation and performing efficient frontier detectio…

cs.CY2020★ 50 cited

Hi Sigma, do I have the Coronavirus?: Call for a New Artificial Intelligence Approach to Support Health Care Professionals Dealing With The COVID-19 Pandemic

Brian Subirana, Ferran Hueto, Prithvi Rajasekaran +10

Just like your phone can detect what song is playing in crowded spaces, we show that Artificial Intelligence transfer learning algorithms trained on cough phone recordings results…

cs.RO2019★ 6 cited

LiDAR Iris for Loop-Closure Detection

Ying Wang, Zezhou Sun, Cheng-Zhong Xu +3

In this paper, a global descriptor for a LiDAR point cloud, called LiDAR Iris, is proposed for fast and accurate loop-closure detection. A binary signature image can be obtained fo…

eess.SP2019★ 76 cited

Perovskite PV-powered RFID: enabling low-cost self-powered IoT sensors

Sai Nithin R. Kantareddy, Ian Mathews, Shijing Sun +6

Photovoltaic (PV) cells have the potential to serve as on-board power sources for low-power IoT devices. Here, we explore the use of perovskite solar cells to power Radio Frequency…

eess.SP2019★ 61 cited

Long range battery-less PV-powered RFID tag sensors

Sai Nithin R. Kantareddy, Ian Mathews, Rahul Bhattacharyya +3

Communication range in passive Radio-Frequency Identification (RFID) front-end devices is a critical barrier in the real-world implementation of this low-cost technology. Purely pa…

physics.app-ph2019★ 134 cited

Self-powered sensors enabled by wide-bandgap perovskite indoor photovoltaic cells

Ian Mathews, Sai Nithin Reddy Kantareddy, Shijing Sun +7

We present a new approach to ubiquitous sensing for indoor applications, using high-efficiency and low-cost indoor perovksite photovoltaic cells as external power sources for backs…

cs.CV2018★ 19 cited

PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention

Yongbin Sun, Yue Wang, Ziwei Liu +2

Generating 3D point clouds is challenging yet highly desired. This work presents a novel autoregressive model, PointGrow, which can generate diverse and realistic point cloud sampl…

cs.HC2018★ 11 cited

X-Vision: An augmented vision tool with real-time sensing ability in tagged environments

Yongbin Sun, Sai Nithin R. Kantareddy, Rahul Bhattacharyya +1

We present the concept of X-Vision, an enhanced Augmented Reality (AR)-based visualization tool, with the real-time sensing capability in a tagged environment. We envision that thi…

cs.CV2018★ 31 cited

Im2Avatar: Colorful 3D Reconstruction from a Single Image

Yongbin Sun, Ziwei Liu, Yue Wang +1

Existing works on single-image 3D reconstruction mainly focus on shape recovery. In this work, we study a new problem, that is, simultaneously recovering 3D shape and surface color…

cs.CV2018★ 287 cited

Dynamic Graph CNN for Learning on Point Clouds

Yue Wang, Yongbin Sun, Ziwei Liu +3

Point clouds provide a flexible geometric representation suitable for countless applications in computer graphics; they also comprise the raw output of most 3D data acquisition dev…