Zhang Zhang | 张涨

I am a Ph.D student at Beijing Institute of Technology, supervised by Prof. Chao Sun. I earned my bachelor's degree from Beijing Institute of Technology in 2022.

My previous research focused on roadside / vehicle-side / collaborative / embodied 3D perception, aiming to enhance agents' spatial awareness for surrounding environment. I have been fortunate to collaborate with X-Humanoid.

Currently my research interests lie in developing autonomous systems through spatial intelligence, generative models and reinforcement learning.

Email  /  Google Scholar  /  GitHub

Selected Publications

We propose HeatV2X, a scalable heterogeneous collaborative perception framework via efficient alignment and interaction.

We propose HeightFormer, a novel roadside vision-centric 3D object detection method that learns height prediction in voxel features via Transformer.

We rethink backbone network designs for pillar-based 3D object detection in infrastructure point cloud, proposing PillarID with improved detection performance.

We propose Height3D, a roadside visual framework based on height prediction in real 3-D space for accurate roadside 3D object detection.

Technical Report

We present Humanoid Occupancy, a generalized multimodal occupancy perception system designed for humanoid robots.

We propose RoboOcc, a framework for enhancing the geometric and semantic scene understanding for robots.

We propose HumanoidPano, a hybrid spherical panoramic-LiDAR cross-modal perception framework for humanoid robots.

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