260 citations · 467 across the 8 of their papers we have counts for
12 papers
Minkowski Tracker: A Sparse Spatio-Temporal R-CNN for Joint Object Detection and Tracking
JunYoung Gwak, Silvio Savarese, Jeannette Bohg
Recent research in multi-task learning reveals the benefit of solving related problems in a single neural network. 3D object detection and multi-object tracking (MOT) are two heavi…
Generative Sparse Detection Networks for 3D Single-shot Object Detection
JunYoung Gwak, Christopher Choy, Silvio Savarese
3D object detection has been widely studied due to its potential applicability to many promising areas such as robotics and augmented reality. Yet, the sparse nature of the 3D data…
JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset
Abhijeet Shenoi, Mihir Patel, JunYoung Gwak +5
Robots navigating autonomously need to perceive and track the motion of objects and other agents in its surroundings. This information enables planning and executing robust and saf…
3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera
Iro Armeni, Zhi-Yang He, JunYoung Gwak +4
A comprehensive semantic understanding of a scene is important for many applications - but in what space should diverse semantic information (e.g., objects, scene categories, mater…
JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments
Roberto Martín-Martín, Mihir Patel, Hamid Rezatofighi +5
We present JRDB, a novel egocentric dataset collected from our social mobile manipulator JackRabbot. The dataset includes 64 minutes of annotated multimodal sensor data including s…
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
Christopher Choy, JunYoung Gwak, Silvio Savarese
In many robotics and VR/AR applications, 3D-videos are readily-available sources of input (a continuous sequence of depth images, or LIDAR scans). However, those 3D-videos are proc…