Search papers, labs, and topics across Lattice.
7
0
6
17
Action-derived visual attention can boost robot task success rates by over 28% without relying on external labels.
Caregivers are optimistic about care robots for logistical tasks but wary of their role in emotionally sensitive interactions, revealing a complex landscape of acceptance and ethical concerns.
Unlock accurate monocular 3D object tracking with minimal annotation: Sparse3DTrack achieves state-of-the-art performance using only a handful of labels per track.
Forget explicit labels: this method learns object co-occurrence priors directly from unlabeled visual data, rivaling human search efficiency.
BLINK unlocks a unified framework for quantitative evaluation and structured modeling of NK cytotoxic behavior at the single-cell level, moving beyond static frame-wise analysis.
Autonomous driving gets a boost with LAD-Drive, a new method that uses probabilistic meta-actions and diffusion to generate safer, more nuanced trajectories, outperforming existing methods by a significant margin.
Robots can now build 3D scene graphs that understand how objects move, enabling more robust manipulation of articulated objects in real-world environments.
