activity
20192022
most citedWeighted boxes fusion: Ensembling boxes from different object detection models

528 citations · 578 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2022★ 2 cited

Surgical Skill Assessment via Video Semantic Aggregation

Zhenqiang Li, Lin Gu, Weimin Wang +2

Automated video-based assessment of surgical skills is a promising task in assisting young surgical trainees, especially in poor-resource areas. Existing works often resort to a CN…

cs.CV2022

Exploring Object-Aware Attention Guided Frame Association for RGB-D SLAM

Ali Caglayan, Nevrez Imamoglu, Oguzhan Guclu +4

Deep learning models as an emerging topic have shown great progress in various fields. Especially, visualization tools such as class activation mapping methods provided visual expl…

cs.CV2021★ 4 cited

3rd Place Solution to Google Landmark Recognition Competition 2021

Cheng Xu, Weimin Wang, Shuai Liu +6

In this paper, we show our solution to the Google Landmark Recognition 2021 Competition. Firstly, embeddings of images are extracted via various architectures (i.e. CNN-, Transform…

cs.CV2020★ 3 cited

Towards Visually Explaining Video Understanding Networks with Perturbation

Zhenqiang Li, Weimin Wang, Zuoyue Li +2

''Making black box models explainable'' is a vital problem that accompanies the development of deep learning networks. For networks taking visual information as input, one basic bu…

cs.CV2020★ 4 cited

3D Object Detection Method Based on YOLO and K-Means for Image and Point Clouds

Xuanyu Yin, Yoko Sasaki, Weimin Wang +1

Lidar based 3D object detection and classification tasks are essential for autonomous driving(AD). A lidar sensor can provide the 3D point cloud data reconstruction of the surround…

cs.CV2020★ 1 cited

YOLO and K-Means Based 3D Object Detection Method on Image and Point Cloud

Xuanyu YIN, Yoko SASAKI, Weimin WANG +1

Lidar based 3D object detection and classification tasks are essential for automated driving(AD). A Lidar sensor can provide the 3D point coud data reconstruction of the surroundin…

cs.CV2020★ 31 cited

SOIC: Semantic Online Initialization and Calibration for LiDAR and Camera

Weimin Wang, Shohei Nobuhara, Ryosuke Nakamura +1

This paper presents a novel semantic-based online extrinsic calibration approach, SOIC (so, I see), for Light Detection and Ranging (LiDAR) and camera sensors. Previous online cali…

cs.CV2019★ 528 cited

Weighted boxes fusion: Ensembling boxes from different object detection models

Roman Solovyev, Weimin Wang, Tatiana Gabruseva

In this work, we present a novel method for combining predictions of object detection models: weighted boxes fusion. Our algorithm utilizes confidence scores of all proposed boundi…

eess.AS2019★ 2 cited

Acoustic scene analysis with multi-head attention networks

Weimin Wang, Weiran Wang, Ming Sun +1

Acoustic Scene Classification (ASC) is a challenging task, as a single scene may involve multiple events that contain complex sound patterns. For example, a cooking scene may conta…

cs.CV2019★ 3 cited

Neural Style Transfer for Point Clouds

Xu Cao, Weimin Wang, Katashi Nagao

How can we edit or transform the geometric or color property of a point cloud? In this study, we propose a neural style transfer method for point clouds which allows us to transfer…