Xinhua Cheng (程鑫华)

I am a third-year master student of computer applications technology at School of Electron and Computer Engineering, Peking University, advised by Prof. Jian Zhang. Before this, I got a B.E. degree of computer science at College of Computer Science, Sichuan University.

My recent research interests are 3D computer vision, especially text-to-3D creation and editing.

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We introduce progressive local editing to create precise 3D content consistent with prompts describing multiple interacted objects binding with different attributes.

We propose a zero-shot point cloud completion framework by only refining the null-space content during the reverse process of a pre-trained diffusion model.

We introduce metric learing for leveraging 2D network-inferred labels to obtain discriminating feature fields, leading to 3D segmentation and editing results.

we explicitly decouple the textual attributes and conduct dense alignment between such fine-grained language and point cloud objects for 3D visual grounding.

We introduce the multi-source knowledge ensemble in occluded re-ID to effective leverage external semantic cues learned from different domains.

We model pedestrian attribute recognition as a multimodal problem and build a simple visual-textual baseline to captures the intra- and cross-modal correlations.

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Last updated: Oct 2023