Alessandro Ingrosso, researcher at the Donders Institute for Neuroscience, has developed a new mathematical method in ...

Previous studies have shown that existing unsupervised VAD models are incapable of label-independent data offsets ... scene-debiasing learning and causality-inspired normality learning to strip away ...

If there's one thing that characterizes driving in any major city, it's the constant stop-and-go as traffic lights change and ...

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...

Researchers from the USC Viterbi School of Engineering are presenting 24 papers at the 2025 International Conference on Learning Representations (ICLR), Apr. 24-28, one of the premier global ...