Search Results for author: Ming Qian

Found 9 papers, 5 papers with code

Multi-View Attentive Contextualization for Multi-View 3D Object Detection

no code implementations CVPR 2024 Xianpeng Liu, Ce Zheng, Ming Qian, Nan Xue, Chen Chen, Zhebin Zhang, Chen Li, Tianfu Wu

We present Multi-View Attentive Contextualization (MvACon), a simple yet effective method for improving 2D-to-3D feature lifting in query-based multi-view 3D (MV3D) object detection.

3D Object Detection Object +1

Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization

1 code implementation CVPR 2024 Guopeng Li, Ming Qian, Gui-Song Xia

This paper investigates the effective utilization of unlabeled data for large-area cross-view geo-localization (CVGL), encompassing both unsupervised and semi-supervised settings.

Re-Ranking

Depth and DOF Cues Make A Better Defocus Blur Detector

1 code implementation20 Jun 2023 Yuxin Jin, Ming Qian, Jincheng Xiong, Nan Xue, Gui-Song Xia

Our method proposes a depth feature distillation strategy to obtain depth knowledge from a pre-trained monocular depth estimation model and uses a DOF-edge loss to understand the relationship between DOF and depth.

Defocus Blur Detection Monocular Depth Estimation

Defocus Blur Detection via Salient Region Detection Prior

no code implementations19 Nov 2020 Ming Qian, Min Xia, Chunyi Sun, Zhiwei Wang, Liguo Weng

Defocus blur Detection aims to separate the out-of-focus and depth-of-field areas in photos, which is an important work in computer vision.

Defocus Blur Detection

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