3 citations · 7 across the 7 of their papers we have counts for
4 papers · 1 filter
Solving Jigsaw Puzzles in the Wild: Human-Guided Reconstruction of Cultural Heritage Fragments
Omidreza Safaei, Sinem Aslan, Sebastiano Vascon +3
Reassembling real-world archaeological artifacts from fragmented pieces poses significant challenges due to erosion, missing regions, irregular shapes, and large-scale ambiguity. T…
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…
Re-assembling the past: The RePAIR dataset and benchmark for real world 2D and 3D puzzle solving
Theodore Tsesmelis, Luca Palmieri, Marina Khoroshiltseva +20
This paper proposes the RePAIR dataset that represents a challenging benchmark to test modern computational and data driven methods for puzzle-solving and reassembly tasks. Our dat…
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…