Multiple pedestrian tracking faces the challenge of tracking pedestrians...
Weakly supervised grounded image captioning (WSGIC) aims to generate the...
Recently, synthetic aperture radar (SAR) image change detection has beco...
File fragment classification (FFC) on small chunks of memory is essentia...
In this paper, we study a real-world JPEG image restoration problem with...
In this paper, we investigate an open research task of generating
contro...
Semantic segmentation on 3D point clouds is an important task for 3D sce...
Recent image classification algorithms, by learning deep features from
l...
We examine two key questions in GAN training, namely overfitting and mod...
Point clouds provide intrinsic geometric information and surface context...
This paper proposes Attribute Attention Network (AANet), a new architect...
Deep metric learning applied to various applications has shown promising...
We propose a GAN design which models multiple distributions effectively ...
In this paper, an adaptive pixel ternary coding mechanism is proposed an...
Local feature descriptors have been widely used in fine-grained visual o...
We show empirically that the optimal strategy of parameter averaging in ...
Idling vehicles waste energy and pollute the environment through exhaust...