M^2Depth: Self-supervised Two-Frame Multi-camera Metric Depth Estimation
Yingshuang Zou* , Yikang Ding*, Xi Qiu, Haoqian Wang†, Haotian Zhang†
Website / Paper / Code

- We integrate spatial-temporal information for the metric depth estimation; we introduce strong SAM prior to enhance the quality of depth detail.

TranSplat: Generalizable 3D Gaussian Splatting from Sparse Multi-View Images with Transformers
Chuanrui Zhang*, Yingshuang Zou*, Zhuoling Li, Minmin Yi, Haoqian Wang†
Website / Paper / Code

- We present TranSplat, a transformer-based approach for generalizable 3D gaussian splatting from sparse multi-view images.

3D Face Arbitrary Style Transfer
Xiangwen Deng, Yingshuang Zou, Yuanhao Cai, Chendong Zhao, Yang Liu, Zhifang Liu, Yuxiao Liu, Jiawei Zhou, Haoqian Wang†
Paper

- We propose a novel framework FDST, for 3D face arbitrary style transfer, capable of high-fidelity face texture reconstruction, region-controllable style transfer, large-pose face reconstruction, and artistic face reconstruction.

Gaussian Splatting for Dynamic Driving Scenes
- We design a novel scene representation for modeling complex dynamic street scene, which efficiently reconstructs and renders high-fidelity “dynamic urban scenes” in real-time.

ICRA 2020 DJI Robomaster AI Challenge
Third Prize / Ranking: 6th in 72 teams, 2020.
Emulator / Perception / Strategy / Planning

- As team leader, I managed the project, steering our team to a 6th-place finish out of 72 competitors. My key duties encompassed developing a Gazebo-based simulation platform and designing perception algorithms and planning module for robots.

FIRA Roboworld Cup, Robosot Race Competition
First Prize / Ranking: 2nd, 2019.
Code

- We designed a wheeled robot with lidar, capable of detecting balls on the ground and placing them in specified locations. As the team leader, I was primarily responsible for the navigation algorithms and the control algorithms of the robot.