100 citations · 111 across the 2 of their papers we have counts for
6 papers · 1 filter
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution
Gang Xu, Jun Xu, Zhen Li +3
Space-time video super-resolution (STVSR) aims to increase the spatial and temporal resolutions of low-resolution and low-frame-rate videos. Recently, deformable convolution based…
Learning to Learn with Variational Information Bottleneck for Domain Generalization
Yingjun Du, Jun Xu, Huan Xiong +4
Domain generalization models learn to generalize to previously unseen domains, but suffer from prediction uncertainty and domain shift. In this paper, we address both problems. We…
Interactive Knowledge Distillation
Shipeng Fu, Zhen Li, Jun Xu +3
Knowledge distillation is a standard teacher-student learning framework to train a light-weight student network under the guidance of a well-trained large teacher network. As an ef…
Conditional Variational Image Deraining
Ying-Jun Du, Jun Xu, Xian-Tong Zhen +2
Image deraining is an important yet challenging image processing task. Though deterministic image deraining methods are developed with encouraging performance, they are infeasible…
Bilateral Attention Network for RGB-D Salient Object Detection
Zhao Zhang, Zheng Lin, Jun Xu +3
Most existing RGB-D salient object detection (SOD) methods focus on the foreground region when utilizing the depth images. However, the background also provides important informati…
Gradient-Induced Co-Saliency Detection
Zhao Zhang, Wenda Jin, Jun Xu +1
Co-saliency detection (Co-SOD) aims to segment the common salient foreground in a group of relevant images. In this paper, inspired by human behavior, we propose a gradient-induced…