4 papers
NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results
Andrey Moskalenko, Alexey Bryncev, Ivan Kosmynin +40
This paper presents an overview of the NTIRE 2026 Challenge on Video Saliency Prediction. The goal of the challenge participants was to develop automatic saliency map prediction me…
Learning Content-Aware Multi-Modal Joint Input Pruning via Bird's-Eye-View Representation
Yuxin Li, Yiheng Li, Xulei Yang +4
In the landscape of autonomous driving, Bird's-Eye-View (BEV) representation has recently garnered substantial academic attention, serving as a transformative framework for the fus…
QuadBEV: An Efficient Quadruple-Task Perception Framework via Bird's-Eye-View Representation
Yuxin Li, Yiheng Li, Xulei Yang +4
Bird's-Eye-View (BEV) perception has become a vital component of autonomous driving systems due to its ability to integrate multiple sensor inputs into a unified representation, en…
Towards Efficient 3D Object Detection in Bird's-Eye-View Space for Autonomous Driving: A Convolutional-Only Approach
Yuxin Li, Qiang Han, Mengying Yu +7
3D object detection in Bird's-Eye-View (BEV) space has recently emerged as a prevalent approach in the field of autonomous driving. Despite the demonstrated improvements in accurac…