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20192021
most citedVideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples

22 citations · 79 across the 12 of their papers we have counts for

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21 papers · 1 filter

cs.CV2021

Structure-Aware Feature Generation for Zero-Shot Learning

Lianbo Zhang, Shaoli Huang, Xinchao Wang +2

Zero-Shot Learning (ZSL) targets at recognizing unseen categories by leveraging auxiliary information, such as attribute embedding. Despite the encouraging results achieved, prior…

cs.CV20211 cited

Controlled Caption Generation for Images Through Adversarial Attacks

Nayyer Aafaq, Naveed Akhtar, Wei Liu +2

Deep learning is found to be vulnerable to adversarial examples. However, its adversarial susceptibility in image caption generation is under-explored. We study adversarial example…

cs.CV2021

Structure-Regularized Attention for Deformable Object Representation

Shenao Zhang, Li Shen, Zhifeng Li +1

Capturing contextual dependencies has proven useful to improve the representational power of deep neural networks. Recent approaches that focus on modeling global context, such as…

cs.CV2021

Image-to-Video Generation via 3D Facial Dynamics

Xiaoguang Tu, Yingtian Zou, Jian Zhao +8

We present a versatile model, FaceAnime, for various video generation tasks from still images. Video generation from a single face image is an interesting problem and usually tackl…

cs.CV2021

Joint Face Image Restoration and Frontalization for Recognition

Xiaoguang Tu, Jian Zhao, Qiankun Liu +5

In real-world scenarios, many factors may harm face recognition performance, e.g., large pose, bad illumination,low resolution, blur and noise. To address these challenges, previou…

cs.CV2021

Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Prior

Kaihao Zhang, Wenhan Luo, Yanjiang Yu +6

Rain is a common natural phenomenon. Taking images in the rain however often results in degraded quality of images, thus compromises the performance of many computer vision systems…