Gang Wei — accepted AI-conference papers

2025

RE0: Recognize Everything with 3D Zero-Shot Instance Segmentation

Xiaohan Yan, Zijian Jiang, Yinghao Shuai, Nan Wang, Xiaowei Song, Wenbo Ji +4

ICRA 2025

Recognizing objects in the 3D world is a significant challenge for robotics. Due to the lack of high-quality 3D data, directly training a general-purpose segmentation model in 3D is almost infeasible. Meanwhile, vision foundation models (VFM) have revolutionized the 2D computer vision field with out

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2021

EDNet: Efficient Disparity Estimation With Cost Volume Combination and Attention-Based Spatial Residual

Songyan Zhang, Zhicheng Wang, Qiang Wang, Jinshuo Zhang, Gang Wei, Xiaowen Chu

CVPR 2021poster

Existing state-of-the-art disparity estimation works mostly leverage the 4D concatenation volume and construct a very deep 3D convolution neural network (CNN) for disparity regression, which is inefficient due to the high memory consumption and slow inference speed. In this paper, we propose a netwo…

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