TAICHI LIU — accepted AI-conference papers

2025

Towards 3D Objectness Learning in an Open World

Taichi Liu, Zhenyu Wang, Ruofeng Liu, Guang Wang, Desheng Zhang

NeurIPS 2025poster

Recent advancements in 3D object detection and novel category detection have made significant progress, yet research on learning generalized 3D objectness remains insufficient. In this paper, we delve into learning open-world 3D objectness, which focuses on detecting all objects in a 3D scene, inclu…

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2024

OV-Uni3DETR: Towards Unified Open-Vocabulary 3D Object Detection via Cycle-Modality Propagation

Zhenyu Wang*, Ya-Li Li, TAICHI LIU, Hengshuang Zhao, Shengjin Wang

ECCV 2024poster

"In the current state of 3D object detection research, the severe scarcity of annotated 3D data, substantial disparities across different data modalities, and the absence of a unified architecture, have impeded the progress towards the goal of universality. In this paper, we propose OV-Uni3DETR, a u…

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