1 code implementation • 6 Nov 2023 • Shiyang Lu, Haonan Chang, Eric Pu Jing, Abdeslam Boularias, Kostas Bekris
This work presents OVIR-3D, a straightforward yet effective method for open-vocabulary 3D object instance retrieval without using any 3D data for training.
Ranked #4 on 3D Open-Vocabulary Instance Segmentation on Replica
1 code implementation • 27 Sep 2023 • Haonan Chang, Kowndinya Boyalakuntla, Shiyang Lu, Siwei Cai, Eric Jing, Shreesh Keskar, Shijie Geng, Adeeb Abbas, Lifeng Zhou, Kostas Bekris, Abdeslam Boularias
We present an Open-Vocabulary 3D Scene Graph (OVSG), a formal framework for grounding a variety of entities, such as object instances, agents, and regions, with free-form text-based queries.
1 code implementation • 30 Jan 2023 • Haonan Chang, Dhruv Metha Ramesh, Shijie Geng, Yuqiu Gan, Abdeslam Boularias
We present Mono-STAR, the first real-time 3D reconstruction system that simultaneously supports semantic fusion, fast motion tracking, non-rigid object deformation, and topological change under a unified framework.
1 code implementation • 7 Oct 2022 • Haonan Chang, Abdeslam Boularias
We present the first real-time system capable of tracking and reconstructing, individually, every visible object in a given scene, without any form of prior on the rigidness of the objects, texture existence, or object category.
no code implementations • 10 Sep 2019 • Zheming Zhou, Tianyang Pan, Shiyu Wu, Haonan Chang, Odest Chadwicke Jenkins
We present the GlassLoc algorithm for grasp pose detection of transparent objects in transparent clutter using plenoptic sensing.
no code implementations • 24 Nov 2017 • Zhuo Xu, Haonan Chang, Masayoshi Tomizuka
We propose the cascade attribute learning network (CALNet), which can learn attributes in a control task separately and assemble them together.