StableDiffusion is a revolutionary text-to-image generator that is causi...
The main challenge of Multi-Object Tracking (MOT) lies in maintaining a
...
The image captioning task is typically realized by an auto-regressive me...
Bi-layer metallic tube (BMT) plays an extremely crucial role in engineer...
The main challenge of Temporal Action Localization is to retrieve subtle...
Understanding the multiple socially-acceptable future behaviors is an
es...
Recent studies have found that removing the norm-bounded projection and
...
Deep neural networks (DNNs) are known to be vulnerable to backdoor attac...
Recent work shows that deep neural networks are vulnerable to adversaria...
In this manuscript, we introduce a semi-automatic scene graph annotation...
Fundamental machine learning theory shows that different samples contrib...
Understanding complex social interactions among agents is a key challeng...
Effectively tackling the problem of temporal action localization (TAL)
n...
This technical report presents our solution to the HACS Temporal Action
...
Deep Neural Network classifiers are vulnerable to adversarial attack, wh...
A new unified video analytics framework (ER3) is proposed for complex ev...
Pedestrian trajectory prediction is a key technology in autopilot, which...
Weakly-supervised Temporal Action Localization (WS-TAL) methods learn to...
The object of Weakly-supervised Temporal Action Localization (WS-TAL) is...
The key procedure of haze image translation through adversarial training...
Recent studies unveil the vulnerabilities of deep ranking models, where ...
Weakly-supervised Temporal Action Localization (W-TAL) aims to classify ...
Deep neural networks have achieved satisfactory performance in piles of
...
Deep Neural Network (DNN) classifiers are vulnerable to adversarial atta...
For visual-semantic embedding, the existing methods normally treat the
r...
Robust time-varying formation design problems for second-order multi-age...
Mutual calibration between color and depth cameras is a challenging topi...
Pseudo-relevance feedback (PRF) is commonly used to boost the performanc...
Research in human action recognition has accelerated significantly since...
By means of network densification, ultra dense networks (UDNs) can
effic...