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Shoumeng Qiu

Researcher at Chinese Academy of Sciences

Publications -  7
Citations -  219

Shoumeng Qiu is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Computer science & Video tracking. The author has an hindex of 1, co-authored 2 publications receiving 35 citations.

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Book ChapterDOI

The Eighth Visual Object Tracking VOT2020 Challenge Results

Matej Kristan, +109 more
TL;DR: A significant novelty is introduction of a new VOT short-term tracking evaluation methodology, and introduction of segmentation ground truth in the VOT-ST2020 challenge – bounding boxes will no longer be used in theVDT challenges.
Proceedings ArticleDOI

The Ninth Visual Object Tracking VOT2021 Challenge Results

Matej Kristan, +131 more
Journal ArticleDOI

Knowledge Distillation from 3D to Bird's-Eye-View for LiDAR Semantic Segmentation

TL;DR: Wang et al. as discussed by the authors developed an effective 3D-to-BEV knowledge distillation method that transferred rich knowledge from 3D voxelbased models to BEV-based models.
Journal ArticleDOI

Understanding Depth Map Progressively: Adaptive Distance Interval Separation for Monocular 3d Object Detection

TL;DR: In this paper, an adaptive distance interval separation network (ADISN) is proposed for depth estimation and texture extraction, which adopts a novel perspective on understanding depth maps, as a form that lies between LiDAR and images.
Journal ArticleDOI

A Dynamic Adjust-Head Siamese network for object tracking

TL;DR: In this article , a simple but effective Dynamic Adjust-Head (SiamDAH) model is proposed to extract features from different parts of an object and an improved pixelwise cross-correlation model (PWCC) is designed to enhance the naive crosscorrelation operation.