Xiao Tan

Achieving a 5x speedup in document parsing without sacrificing accuracy could redefine efficiency benchmarks in Vision-Language Models.

LMMs struggle to ground text queries in the right parts of images, but explicitly modeling salient visual subjects can dramatically improve cross-modal retrieval.

MLLMs can gain surprisingly strong 3D spatial reasoning abilities simply by tapping into the latent knowledge already present in video generation models.

Achieve a remarkable 12.4x speedup in 3D reconstruction by mimicking the efficiency of keypoint matching with a novel dual-branch attention mechanism.