2 citations · 4 across the 5 of their papers we have counts for
5 papers
ECAM: A Contrastive Learning Approach to Avoid Environmental Collision in Trajectory Forecasting
Giacomo Rosin, Muhammad Rameez Ur Rahman, Sebastiano Vascon
Human trajectory forecasting is crucial in applications such as autonomous driving, robotics and surveillance. Accurate forecasting requires models to consider various factors, inc…
OpenNav: Efficient Open Vocabulary 3D Object Detection for Smart Wheelchair Navigation
Muhammad Rameez ur Rahman, Piero Simonetto, Anna Polato +3
Open vocabulary 3D object detection (OV3D) allows precise and extensible object recognition crucial for adapting to diverse environments encountered in assistive robotics. This pap…
OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based Cameras
Muhammad Rameez Ur Rahman, Jhony H. Giraldo, Indro Spinelli +2
Event cameras, known for low-latency operation and superior performance in challenging lighting conditions, are suitable for sensitive computer vision tasks such as semantic segmen…
Best Practices for 2-Body Pose Forecasting
Muhammad Rameez Ur Rahman, Luca Scofano, Edoardo De Matteis +3
The task of collaborative human pose forecasting stands for predicting the future poses of multiple interacting people, given those in previous frames. Predicting two people in int…
Adversarial Branch Architecture Search for Unsupervised Domain Adaptation
Luca Robbiano, Muhammad Rameez Ur Rahman, Fabio Galasso +2
Unsupervised Domain Adaptation (UDA) is a key issue in visual recognition, as it allows to bridge different visual domains enabling robust performances in the real world. To date,…