PREMA: Part-based REcurrent Multi-view Aggregation Network for 3D Shape Retrieval

no code implementations • 9 Nov 2021 • Jiongchao Jin, Huanqiang Xu, Pengliang Ji, Zehao Tang, Zhang Xiong

We propose the Part-based Recurrent Multi-view Aggregation network(PREMA) to eliminate the detrimental effects of the practical view defects, such as insufficient view numbers, occlusions or background clutters, and also enhance the discriminative ability of shape representations.

3D Shape Retrieval Retrieval

RaidaR: A Rich Annotated Image Dataset of Rainy Street Scenes

no code implementations • 9 Apr 2021 • Jiongchao Jin, Arezou Fatemi, Wallace Lira, Fenggen Yu, Biao Leng, Rui Ma, Ali Mahdavi-Amiri, Hao Zhang

We introduce RaidaR, a rich annotated image dataset of rainy street scenes, to support autonomous driving research.

Autonomous Driving Data Augmentation +4

DR-KFS: A Differentiable Visual Similarity Metric for 3D Shape Reconstruction

no code implementations • ECCV 2020 • Jiongchao Jin, Akshay Gadi Patil, Zhang Xiong, Hao Zhang

We introduce a differential visual similarity metric to train deep neural networks for 3D reconstruction, aimed at improving reconstruction quality.

3D Reconstruction 3D Shape Reconstruction +1