Moonjun Gong

About Me

I received my bachelor’s degree in Artificial Intelligence from Beijing University of Posts and Telecommunications(BUPT). I am a research assistant in MARS LAB at Tsinghua University, working under the supervision of Prof. Hang Zhao. I have been a research student in AI4CE LAB at New York University(NYU), working with Yiming Li, advised by Prof. Chen Feng since Mar.2023. Before this, I was a research student in COST LAB at BUPT from Mar.2022 to Mar.2023, advised by Prof. Jianqin Yin.

Research Interests

I am passionate about computer vision and its applications in robotics, with a focus on enhancing robots’ perception and planning abilities. Previously, I curated large-scale datasets to support the development of reliable algorithms. Moving forward, I aim to develop perception algorithms that can generalize effectively across diverse datasets with varying settings. This adaptability is crucial for the widespread adoption of autonomous systems. I am also intrigued by collaborative autonomous intelligence, as it allows autonomous robots to share and validate perception results and extend their perception range, which has the potential to significantly enhance the robustness and accuracy of the entire system.

In conclusion, my research interests are as follows:

• Robotics: Perception and Planning
• Computer Vision: 3D Reconstruction, 3D Scene Understanding, Collaborative Perception and Prediction
• Machine Learning: Robust and Efficient Algorithms

News

• [Jun. 2024] Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset dataset is released
• [Oct. 2023] Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting dataset is released
• [Jun. 2023] SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving dataset is released

Publications

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