Nowadays, computer vision with 3D (dimension) object detection and 6D (degree of
freedom) pose assumptions are widely discussed and studied in the field. In the 3D object …

Semi-supervised video object segmentation is the task of segmenting the target in
sequential frames given the ground truth mask in the first frame. The modern approaches …

摘要为了解决基本麻雀搜索算法(sparrow search algorithm, SSA) 依赖初始种群和求解精度不
高的问题, 提出一种基于Circle 混沌映射和随机游走的改进的麻雀优化算法(improved sparrow …

Weakly-supervised Temporal Action Localization (W-TAL) aims at simultaneously classifying
and locating all action instances with only video-level supervision. However, current W-TAL …

We propose an effective approach to make segmentation for objects in videos with an initial
input of the object masks in a few frames of the source video. In this method, we cast the …

The effective use of temporal relationships while extracting fertile spatial features is the key
to video action understanding. Video action understanding is a challenging visual task …

Object detection methods draw increasing attention in deep learning based visual tracking
algorithms due to their robust discrimination and powerful regression ability. To further …

Precise and online LiDAR-camera extrinsic calibration is one of the prerequisites of multi-
modal data fusion for autonomous perception. The existing 6-DoF pose regression networks …

In recent years, most video segmentation methods use deep CNN to process the input
image, but they did not fully mine the rich intermediate predictions in spatio‐temporal space …

Human actions often involve interactions with objects, and such action possibilities of
objects were termed “affordances” in human-computer interaction (HCI) literature. To …