activity
20172024
most citedSocial-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks

113 citations · 260 across the 7 of their papers we have counts for

collaborators

10 papers

cs.RO2024

GyroCopter: Differential Bearing Measuring Trajectory Planner for Tracking and Localizing Radio Frequency Sources

Fei Chen, S. Hamid Rezatofighi, Damith C. Ranasinghe

Autonomous aerial vehicles can provide efficient and effective solutions for radio frequency (RF) source tracking and localizing problems with applications ranging from wildlife co…

eess.SP2020

Towards Deep Clustering of Human Activities from Wearables

Alireza Abedin, Farbod Motlagh, Qinfeng Shi +2

Our ability to exploit low-cost wearable sensing modalities for critical human behaviour and activity monitoring applications in health and wellness is reliant on supervised learni…

cs.CV2019113 cited

Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks

Vineet Kosaraju, Amir Sadeghian, Roberto Martín-Martín +3

Predicting the future trajectories of multiple interacting agents in a scene has become an increasingly important problem for many different applications ranging from control of au…

cs.CV201968 cited

CVPR19 Tracking and Detection Challenge: How crowded can it get?

Patrick Dendorfer, Hamid Rezatofighi, Anton Milan +6

Standardized benchmarks are crucial for the majority of computer vision applications. Although leaderboards and ranking tables should not be over-claimed, benchmarks often provide…

cs.LG2019

SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks

Alireza Abedin, S. Hamid Rezatofighi, Qinfeng Shi +1

Batteryless or so called passive wearables are providing new and innovative methods for human activity recognition (HAR), especially in healthcare applications for older people. Pa…

cs.CV201947 cited

Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression

Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak +3

Intersection over Union (IoU) is the most popular evaluation metric used in the object detection benchmarks. However, there is a gap between optimizing the commonly used distance l…