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Ran Ding

PhD student at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), working with Prof. Ivan Laptev and Dr. Fabio Pizzati.

Previously, I earned an MSc in Computer Science from the Technical University of Munich and a BEng in Computer Science from Dalian University of Technology.

Supervising AI systems to understand and interact with the physical world.

ran.ding@mbzuai.ac.ae / randing2000@gmail.com / GitHub / LinkedIn

Research

MessyKitchens teaser

MessyKitchens: Contact-rich object-level 3D scene reconstruction

Junaid Ahmed Ansari*, Ran Ding*, Fabio Pizzati, Ivan Laptev

* Co-first authorsarXiv, 2026

Monocular 3D scene reconstruction has recently seen significant progress, but reconstructing cluttered scenes into physically plausible 3D objects with accurate contacts remains challenging. We introduce MessyKitchens and a Multi-Object Decoder to improve object-level scene reconstruction with better registration accuracy and inter-object penetration.

3D-CovDiffusion teaser

3D-Aware Diffusion Policy for Coverage Path Planning

Chenyuan Chen, Haoran Ding, Ran Ding, Tianyu Liu, Zewen He, Anqing Duan, Yoshihiko Nakamura

arXiv, 2026

3D-CovDiffusion introduces a 3D-aware diffusion policy for coverage path planning, aiming to improve coverage behavior through stronger 3D geometric understanding.

TARGO teaser

TARGO: Benchmarking Target-driven Object Grasping under Occlusions

Ran Ding*, Ziyuan Qin*, Yan Xia*, Guanqi Zhan, Kaichen Zhou, Long Yang, Hao Dong, Daniel Cremers

* Co-first authors, Corresponding authorInternational Journal of Computer Vision, 2026

This work introduces TARGO, a benchmark dataset for target-driven grasping under occlusions in cluttered environments, along with TARGO-Net to improve grasping performance in these physically challenging settings.

Mentors & Collaborators

I have also learned a lot from my peers and mentors, including Chenyuan Chen (MBZUAI), Ziyuan Qin (TUM), Yan Xia (USTC), Junaid Ansari (MBZUAI), Shuangpeng Wu (ZJU), Guanqi Zhan (NVIDIA), Barry Shichen Hu (TUM), Hao Dong (PKU), and Fenghua Yang (UMich).

Projects

Unsupervised Multi-View Stereo with Neural Radiance Field teaser

Unsupervised Multi-View Stereo with Neural Radiance Field

3D Computer Vision Project at TUM Visual Computing & Artificial Intelligence Lab2022

We extended Neural Radiance Field for multi-view stereo and trained it in an unsupervised manner to resolve view correspondence ambiguity.

Deformation Generation via Autoregressive Models teaser

Deformation Generation via Autoregressive Models

Research Internship at TUM Visual Computing & Artificial Intelligence Lab2023

Given partial deformation, we applied a decoder-only transformer to autoregressively generate diverse and complete deformation.

Chinese Undergraduate Curling AI Challenge teaser

Chinese Undergraduate Curling AI Challenge

Robotics Project at DUT Embedded Intelligent System Lab2020

We refined motion strategies for a curling robot and implemented a neural network regression model to predict the relationship between robot velocity and current position.

National Undergraduate Electronic Design Contest Liaoning Division teaser

National Undergraduate Electronic Design Contest Liaoning Division

Embedded System Design Project at DUT Embedded Intelligent System Lab2019

We developed a paper counting device using least squares fitting to correlate paper quantity and capacitance measurements from the FDC2214 sensor.

National Undergraduate Electronic Design Contest teaser

National Undergraduate Electronic Design Contest

Robotics Project at DUT Embedded Intelligent System Lab2020

We developed a target tracking system that controls a vehicle to follow a predefined path and parses data exchanged with a millimeter-wave radar.

Awards

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