3 citations · 10 across the 25 of their papers we have counts for
30 papers
HuLiGen: Human LiDAR Generation from Parametric Body Models
Salma Galaaoui, Nermin Samet, David Picard
LiDAR point clouds of humans are extremely expensive to collect and annotate, thus represent a scarce resource that hinders the development of human analysis using this modality. T…
Progressive Risk Estimation for Accident Anticipation
Samet Hicsonmez, Eray Çakar, Nermin Samet +1
Accident anticipation aims to recognize anomalous driving cues before a crash while avoiding false alarms during normal driving. Existing approaches typically formulate this task a…
Position: Let's Strengthen Verifiability If We Can't Enforce Reproducibility
Samet Hicsonmez, Nermin Samet, Renaud Marlet
In the field of Machine Learning, many papers contain empirical results supporting claimed statements or illustrating the performance of a proposed method. However, most practition…
Spot-the-shift: Evaluating Grounded Image Difference Captioning of Long-term Changes
Benedetta Liberatori, Nermin Samet, Paolo Rota +4
Long-term change understanding from images of the same place revisited over time is a challenging task with applications in map maintenance and urban infrastructure monitoring. Pri…
Vanilla ViT for Automotive Point Cloud Semantic Segmentation
Gilles Puy, Nermin Samet, Alexandre Boulch +3
Plain Transformers have become the de-facto architecture for processing text, audio, image, and video, offering a unified backbone for multimodal learning. However, state-of-the-ar…
IGLOSS: Image Generation for Lidar Open-vocabulary Semantic Segmentation
Nermin Samet, Gilles Puy, Renaud Marlet
This paper presents a new method for the zero-shot open-vocabulary semantic segmentation (OVSS) of 3D automotive lidar data. To circumvent the recognized image-text modality gap th…