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SUN, Pengzhan |
I'm currently a Ph.D. student at National University of Singapore from 2024 Spring, a member of CVML@NUS.
I received B.S. degree (with Highest Honor) in Mathematics-Physics Fundamental Science from Yingcai Honors College at University of Electronic Science and Technology of China in 2022, supervised by Prof. Wen Li and Prof. Lixin Duan. I received Master of Computing in Artificial Intelligence from School of Computing, National University of Singapore in 2024, supervised by Prof. Angela Yao.
My PhD research follows two connected directions. The first is egocentric assistants: models that understand what a person intends from their first-person view and ground it in the scene, which I study through intention understanding, visual grounding, and VLM post-training. The second is spatial intelligence: models that reason about the 3D physical world from video and plan actions in it, including video spatial reasoning, physical reasoning, and embodied planning. The two meet naturally in wearable AI. An assistant on smart glasses must understand the physical world around its user, such as where things are, how they move, and what can be done with them, yet its purpose is to help that person. Building such assistants is my long-term goal.
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University of Electronic Science and Technology of China (UESTC), China Honours Bachelor Degree in Mathematics-Physics Fundamental Science (AI Specialization). Yingcai Honors College. • Sep. 2018 - Jun. 2022Lab: Data Intelligence Group Supervisors: Prof. Wen Li and Prof. Lixin Duan Collaborated with Dr. Bo Wu | |
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King Abdullah University of Science and Technology (KAUST), Saudi Arabia Visiting Student Research Program. Computer, Electrical and Mathematical Sciences and Engineering. • Apr. 2022 - Aug. 2022Lab: Vision-CAIR Supervisor: Prof. Mohamed Elhoseiny Collaborated with Prof. Li Erran Li | |
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National University of Singapore (NUS), Singapore Graduate Student (with Dissertation Option). School of Computing. • Aug. 2022 - Jan. 2024PhD Student. School of Computing. • Jan. 2024 - Present Lab: CVML@NUS Supervisor: Prof. Angela Yao Collaborated with Dr. Junbin Xiao, Dr. Arjun Akula, and Prof. Linlin Yang |
[JAN 2024] I was excited to join CVML@NUS as a 2024 Spring PhD student.
Understanding people from visual data: egocentric visual intention grounding for assistants, human action and interaction recognition, and human and hand pose estimation.
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Aligning Thoughts with Answers: Probability Rewards to Tame Thinking Drift |
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Dynamic Resolution Routing for Efficient Egocentric Grounding |
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Visual Intention Grounding for Egocentric Assistants |
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Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose Estimation |
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Simultaneous Detection and Interaction Reasoning for Object-Centric Action Recognition |
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Rethinking Visibility in Human Pose Estimation: Occluded Pose Reasoning via Transformers |
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Counterfactual Debiasing Inference for Compositional Action Recognition. |
Reasoning about and acting in the physical world: video spatial reasoning, physical reasoning from video, reliable spatial benchmarks, and embodied planning in simulated and video-derived environments.
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From Reasoning Failures to Composable Video Spatial Intelligence |
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ReSTI: A Source-Grounded Audit and Repair of STI-Bench |
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Ego2World: Compiling Egocentric Cooking Videos into Executable Worlds for Belief-State Planning |
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PRISM: Planning and Reasoning with Intent in Simulated Embodied Environments |
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FrameBind: Directional Grounding for Allocentric Spatial Reasoning with VLMs |
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CoPhyBench: Benchmarking Physical Reasoning from Conditional Video Observation |
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Rethinking Probability-Based Reinforcement Learning From Posterior Concentration |
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ImageCaptioner2: Image Captioner for Image Captioning Bias Amplification Assessment |
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HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models |
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