🏢 School of Computer Science, Fudan University

Active Viewpoint Selection (AVS) significantly improves viewpoint-independent object-centric representations by actively selecting the most informative viewpoints for each scene, leading to better seg…

Revolutionizing graph analysis, this paper introduces a novel framework for efficiently solving graph diffusion equations, achieving up to a hundred-fold speed improvement and enabling faster graph ne…

DeTrack revolutionizes visual object tracking with an in-model latent denoising learning process, achieving real-time speed and state-of-the-art accuracy.

Denoising Diffusion Path (DDPath) uses diffusion models to dramatically reduce noise in attribution methods for deep neural networks, leading to clearer explanations and improved quantitative results.