Holistic 3D human-scene reconstruction is a crucial and emerging researc...
Social group detection is a crucial aspect of various robotic applicatio...
Rotated bounding boxes drastically reduce output ambiguity of elongated
...
Tracking individuals is a vital part of many experiments conducted to
un...
A high-quality 3D reconstruction of a scene from a collection of 2D imag...
We propose a robotic learning system for autonomous exploration and
navi...
This paper proposes a self-supervised approach to learn universal facial...
Autonomous robotic systems operating in human environments must understa...
This paper concerns the problem of multi-object tracking based on the
mi...
We consider the online planning problem for a team of agents to discover...
We present PiFeNet, an efficient and accurate real-time 3D detector for
...
Human activity recognition (HAR) is an important research field in ubiqu...
Localizing objects and estimating their extent in 3D is an important ste...
Semantic segmentation is one of the basic, yet essential scene understan...
The availability of large-scale video action understanding datasets has
...
Tracking a time-varying indefinite number of objects in a video sequence...
We consider the challenging problem of tracking multiple objects using a...
Semantic aware reconstruction is more advantageous than geometric-only
r...
Despite the recent advances in multiple object tracking (MOT), achieved ...
Performance evaluation is indispensable to the advancement of machine vi...
Tracking and locating radio-tagged wildlife is a labor-intensive and
tim...
Wearables are fundamental to improving our understanding of human activi...
The state-of-the art solutions for human activity understanding from a v...
Standardized benchmarks are crucial for the majority of computer vision
...
An autonomous navigating agent needs to perceive and track the motion of...
This paper addresses the task of set prediction using deep feed-forward
...
Computing the permanent of a non-negative matrix is a core problem with
...
We consider the challenging problem of online planning for a team of age...
We present JRDB, a novel dataset collected from our social mobile manipu...
This paper tackles the problem of video object segmentation. We are
spec...
Standardized benchmarks are crucial for the majority of computer vision
...
Intersection over Union (IoU) is the most popular evaluation metric used...
As the post-processing step for object detection, non-maximum suppressio...
Automatic recognition of human activities from time-series sensor data
(...