1 code implementation • 28 Dec 2023 • Guanqi Zhan, Chuanxia Zheng, Weidi Xie, Andrew Zisserman
In contrast, we use 3D data to establish an automatic pipeline to determine authentic ground truth amodal masks for partially occluded objects in real images.
1 code implementation • 10 Oct 2023 • Guanqi Zhan, Chuanxia Zheng, Weidi Xie, Andrew Zisserman
(iii) We find that features from Stable Diffusion are good for discriminative learning of a number of properties, including scene geometry, support relations, shadows and depth, but less performant for occlusion and material.
1 code implementation • 8 Sep 2023 • Junfeng Cheng, Mingdong Wu, Ruiyuan Zhang, Guanqi Zhan, Chao Wu, Hao Dong
In this paper, we formulate this task from a novel generative perspective, introducing the Score-based 3D Part Assembly framework (Score-PA) for 3D part assembly.
1 code implementation • 18 Oct 2022 • Guanqi Zhan, Weidi Xie, Andrew Zisserman
To this end we make the following four contributions: (1) We propose a simple 'plugin' module for the detection head of two-stage object detectors to improve the recall of partially occluded objects.
Ranked #1 on Instance Segmentation on Separated COCO
3 code implementations • NeurIPS 2020 • Jialei Huang, Guanqi Zhan, Qingnan Fan, Kaichun Mo, Lin Shao, Baoquan Chen, Leonidas Guibas, Hao Dong
Analogous to buying an IKEA furniture, given a set of 3D parts that can assemble a single shape, an intelligent agent needs to perceive the 3D part geometry, reason to propose pose estimations for the input parts, and finally call robotic planning and control routines for actuation.
1 code implementation • 22 Nov 2019 • Guanqi Zhan, Yihao Zhao, Bingchan Zhao, Haoqi Yuan, Baoquan Chen, Hao Dong
By mapping the discrete label-specific attribute features into a continuous prior distribution, we leverage the advantages of both discrete labels and reference images to achieve image manipulation in a hybrid fashion.