Search Results for author: Haonan Chang

Found 6 papers, 4 papers with code

OVIR-3D: Open-Vocabulary 3D Instance Retrieval Without Training on 3D Data

1 code implementation6 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.

3D Open-Vocabulary Instance Segmentation Region Proposal +2

Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs

1 code implementation27 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.

Navigate Object +2

Mono-STAR: Mono-camera Scene-level Tracking and Reconstruction

1 code implementation30 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.

3D Reconstruction Optical Flow Estimation

Scene-level Tracking and Reconstruction without Object Priors

1 code implementation7 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.

Object

GlassLoc: Plenoptic Grasp Pose Detection in Transparent Clutter

no code implementations10 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.

Transparent objects

Cascade Attribute Learning Network

no code implementations24 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.

Attribute Position +1

Cannot find the paper you are looking for? You can Submit a new open access paper.