Zhenliang Zhang | BIGAI
Zhenliang Zhang | BIGAI
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[ICLR 2024] Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
In this paper, We introduce Bongard-OpenWorld, a new benchmark for evaluating real-world few-shot reasoning for machine vision.
Rujie Wu
,
Xiaojian Ma
,
Zhenliang Zhang
,
Wei Wang
,
Qing Li
,
Song-Chun Zhu
,
Yizhou Wang
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[VR 2024] On the Emergence of Symmetrical Reality
In this paper, we introduce the symmetrical reality framework, which offers a unified representation encompassing various forms of physical-virtual amalgamations.
Zhenliang Zhang
,
Zeyu Zhang
,
Ziyuan Jiao
,
Yao Su
,
Hangxin Liu
,
Wei Wang
,
Song-Chun Zhu
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[UIST 2023] Neighbor-Environment Observer: An Intelligent Agent for Immersive Working Companionship
In this paper, we propose a joint observation strategy for artificial agents to support users across virtual and physical environments.
Zhe Sun
,
Qixuan Liang
,
Meng Wang
,
Zhenliang Zhang
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[VR 2023] Building symmetrical reality systems for cooperative manipulation
In this paper, we discuss the symmetrical reality-based human-robot interaction and show the general pipeline of building the symmetrical reality system with two minds.
Zhenliang Zhang
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[VR 2021] Symmetrical cognition between physical humans and virtual agents
In this paper, we discuss the cognition problem from some perspectives, i.e., attention, perception, pattern recognition, and communication.
Zhenliang Zhang
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[ISMAR 2020] Machine intelligence matters: Rethink human-robot collaboration based on symmetrical reality
We introduce the contents of the symmetrical reality-based human-robot collaboration and interpret the humanrobot collaboration from the perspective of equivalent interaction.
Zhenliang Zhang
,
Xuejiao Wang
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[ISMAR 2020] Understanding physical common sense in symmetrical reality
We emphasize the bi-directional mechanical control within the symmetrical reality framework and why free wills of machines can break the common sense.
Zhenliang Zhang
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[IROS 2020] Graph-based hierarchical knowledge representation for robot task transfer from virtual to physical world
We study the hierarchical knowledge transfer problem using a cloth-folding task, wherein the agent is first given a set of human demonstrations in the virtual world using an Oculus Headset, and later transferred and validated on a physical Baxter robot.
Zhenliang Zhang
,
Yixin Zhu
,
Song-Chun Zhu
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[VR 2020] Exploring the differences of visual discomfort caused by long-term immersion between virtual environments and physical environments
To investigate the effects of visual discomfort caused by long-term immersing in virtual environments (VEs), we conducted a comparative …
Jie Guo
,
Dongdong Weng
,
Hui Fang
,
Zhenliang Zhang
,
Jiaming Ping
,
Yue Liu
,
Yongtian Wang
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[VR 2020] Extracting and transferring hierarchical knowledge to robots using virtual reality
We study the knowledge transfer problem by training the task of folding clothes in the virtual world using an Oculus Headset and …
Zhenliang Zhang
,
Jie Guo
,
Dongdong Weng
,
Yue Liu
,
Yongtian Wang
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