Zobrazeno 1 - 10
of 255
pro vyhledávání: '"Jianbing Shen"'
Publikováno v:
Computational Visual Media, Vol 9, Iss 1, Pp 155-175 (2022)
Abstract Previous video object segmentation approaches mainly focus on simplex solutions linking appearance and motion, limiting effective feature collaboration between these two cues. In this work, we study a novel and efficient full-duplex strategy
Externí odkaz:
https://doaj.org/article/f98fc5c8b9fd4421ae8956c77181129c
Publikováno v:
IEEE Transactions on Multimedia. :1-14
Publikováno v:
IEEE Transactions on Information Forensics and Security. 18:1554-1565
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-12
Publikováno v:
International Journal of Computer Vision. 131:607-625
Visual-language navigation (VLN) is the task of entailing an agent to carry out navigational instructions inside photo-realistic environments. One of the key challenges in VLN is how to conduct robust navigation by mitigating the uncertainty caused b
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:2827-2840
This paper addresses the task of detecting and recognizing human-object interactions (HOI) in images. Considering the intrinsic complexity and structural nature of the task, we introduce a cascaded parsing network (CP-HOI) for a multi-stage, structur
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:3239-3259
As an essential problem in computer vision, salient object detection (SOD) has attracted an increasing amount of research attention over the years. Recent advances in SOD are predominantly led by deep learning-based solutions (named deep SOD). To ena
Publikováno v:
Sensors, Vol 21, Iss 8, p 2651 (2021)
Recent one-stage 3D detection methods generate anchor boxes with various sizes and orientations in the ground plane, then determine whether these anchor boxes contain any region of interest and adjust the edges of them for accurate object bounding bo
Externí odkaz:
https://doaj.org/article/391e3b2b29f0475cb85e0481b35bc2b4
Publikováno v:
IEEE Transactions on Image Processing. 31:585-597
Separating the dominant person from the complex background is significant to the human-related research and photo-editing based applications. Existing segmentation algorithms are either too general to separate the person region accurately, or not cap
Publikováno v:
IEEE Transactions on Image Processing. 31:379-391
Existing person re-identification (Re-ID) methods usually rely heavily on large-scale thoroughly annotated training data. However, label noise is unavoidable due to inaccurate person detection results or annotation errors in real scenes. It is extrem