Reconstruction network for video captioning
In this paper, the problem of describing visual contents of a video sequence with natural
language is addressed. Unlike previous video captioning work mainly exploiting the cues of …
language is addressed. Unlike previous video captioning work mainly exploiting the cues of …
Learning modal-invariant and temporal-memory for video-based visible-infrared person re-identification
Thanks for the cross-modal retrieval techniques, visible-infrared (RGB-IR) person re-
identification (Re-ID) is achieved by projecting them into a common space, allowing person …
identification (Re-ID) is achieved by projecting them into a common space, allowing person …
Video person re-identification with competitive snippet-similarity aggregation and co-attentive snippet embedding
In this paper, we address video-based person re-identification with competitive snippet-
similarity aggregation and co-attentive snippet embedding. Our approach divides long …
similarity aggregation and co-attentive snippet embedding. Our approach divides long …
Salient-to-broad transition for video person re-identification
Due to the limited utilization of temporal relations in video re-id, the frame-level attention
regions of mainstream methods are partial and highly similar. To address this problem, we …
regions of mainstream methods are partial and highly similar. To address this problem, we …
Cross-modality interactive attention network for multispectral pedestrian detection
Multispectral pedestrian detection is an emerging solution with great promise in many
around-the-clock applications, such as automotive driving and security surveillance. To …
around-the-clock applications, such as automotive driving and security surveillance. To …
Coarse-to-fine UAV target tracking with deep reinforcement learning
W Zhang, K Song, X Rong, Y Li - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The aspect ratio of a target changes frequently during an unmanned aerial vehicle (UAV)
tracking task, which makes the aerial tracking very challenging. Traditional trackers struggle …
tracking task, which makes the aerial tracking very challenging. Traditional trackers struggle …
A comprehensive overview of person re-identification approaches
H Wang, H Du, Y Zhao, J Yan - Ieee Access, 2020 - ieeexplore.ieee.org
Person re-identification, identifying and tracking pedestrians in cross-domain monitoring
systems, is an important technology in the computer vision field and of real significance for …
systems, is an important technology in the computer vision field and of real significance for …
Learning modality-consistency feature templates: A robust RGB-infrared tracking system
With a large number of video surveillance systems installed for the requirement from
industrial security, the task of object tracking, which aims to locate objects of interest in …
industrial security, the task of object tracking, which aims to locate objects of interest in …
Spatial-temporal attention-aware learning for video-based person re-identification
In this paper, we present a spatial-temporal attention-aware learning (STAL) method for
video-based person re-identification. Most existing person re-identification methods …
video-based person re-identification. Most existing person re-identification methods …
Robot skill acquisition in assembly process using deep reinforcement learning
F Li, Q Jiang, S Zhang, M Wei, R Song - Neurocomputing, 2019 - Elsevier
Uncertain factors in environments restrict the intelligence level of industrial robots. Based on
deep reinforcement learning, a skill-acquisition method is used to solve the posed problems …
deep reinforcement learning, a skill-acquisition method is used to solve the posed problems …