71 citations · 77 across the 5 of their papers we have counts for
6 papers
Improving Visual Perception of a Social Robot for Controlled and In-the-wild Human-robot Interaction
Wangjie Zhong, Leimin Tian, Duy Tho Le +1
Social robots often rely on visual perception to understand their users and the environment. Recent advancements in data-driven approaches for computer vision have demonstrated gre…
Accurate and Real-time 3D Pedestrian Detection Using an Efficient Attentive Pillar Network
Duy-Tho Le, Hengcan Shi, Hamid Rezatofighi +1
Efficiently and accurately detecting people from 3D point cloud data is of great importance in many robotic and autonomous driving applications. This fundamental perception task is…
Unsupervised Image Segmentation by Mutual Information Maximization and Adversarial Regularization
S. Ehsan Mirsadeghi, Ali Royat, Hamid Rezatofighi
Semantic segmentation is one of the basic, yet essential scene understanding tasks for an autonomous agent. The recent developments in supervised machine learning and neural networ…
Distributed Multi-object Tracking under Limited Field of View Sensors
Hoa Van Nguyen, Hamid Rezatofighi, Ba-Ngu Vo +1
We consider the challenging problem of tracking multiple objects using a distributed network of sensors. In the practical setting of nodes with limited field of views (FoVs), compu…
How Trustworthy are Performance Evaluations for Basic Vision Tasks?
Tran Thien Dat Nguyen, Hamid Rezatofighi, Ba-Ngu Vo +3
This paper examines performance evaluation criteria for basic vision tasks involving sets of objects namely, object detection, instance-level segmentation and multi-object tracking…
Learn to Predict Sets Using Feed-Forward Neural Networks
Hamid Rezatofighi, Tianyu Zhu, Roman Kaskman +6
This paper addresses the task of set prediction using deep feed-forward neural networks. A set is a collection of elements which is invariant under permutation and the size of a se…