no code implementations • ECCV 2020 • Xuchong Qiu, Yang Xiao, Chaohui Wang, Renaud Marlet
Inference & Application","We formalize concepts around geometric occlusion in 2D images (i. e., ignoring semantics), and propose a novel unified formulation of both occlusion boundaries and occlusion orientations via a pixel-pair occlusion relation.
no code implementations • 19 Dec 2023 • Yong Xien Chng, Henry Zheng, Yizeng Han, Xuchong Qiu, Gao Huang
To tackle this challenge, we introduce a novel Mask Grounding auxiliary task that significantly improves visual grounding within language features, by explicitly teaching the model to learn fine-grained correspondence between masked textual tokens and their matching visual objects.
Ranked #2 on Referring Expression Segmentation on RefCOCO testB
no code implementations • 4 Nov 2023 • Su Wang, Shini Zhang, Xuchong Qiu
Based on the extracted 2D-3D point pairs, we further propose an occlusion-guided point-matching method that improves the calibration accuracy and reduces computation costs.
1 code implementation • 23 Jul 2020 • Xuchong Qiu, Yang Xiao, Chaohui Wang, Renaud Marlet
The former provides a way to generate large-scale accurate occlusion datasets while, based on the latter, we propose a novel method for task-independent pixel-level occlusion relationship estimation from single images.
2 code implementations • 12 Jun 2019 • Yang Xiao, Xuchong Qiu, Pierre-Alain Langlois, Mathieu Aubry, Renaud Marlet
Most deep pose estimation methods need to be trained for specific object instances or categories.