Xuelong Li

SwiftVR achieves real-time 1080p video restoration on consumer GPUs, a first in the field, while maintaining high perceptual quality and low inference costs.

SpaceVLN achieves state-of-the-art zero-shot navigation performance by integrating spatial cognitive memory with task-guided reasoning, redefining how agents understand and navigate complex environments.

OASIS shows that simulation can outperform real-world teleoperation in humanoid manipulation tasks by leveraging diverse environmental variations.

Achieving a 7.5-fold reduction in computational complexity, the DBHN Network outperforms traditional methods in monaural speech enhancement while maintaining high performance.

Forget generic video memory caches – Q-GeoMem selectively remembers only the geometrically relevant bits, boosting spatial reasoning performance.

Imagine turning any single-view video into a fully explorable, dynamic 4D scene – this paper gets us closer with a novel diffusion-based approach and a new large-scale dataset.

Imperceptible frequency-aware perturbations can effectively thwart model stealing in text-to-image generative models without sacrificing visual quality.