activity
20182022
most citedLook Closer to Ground Better: Weakly-Supervised Temporal Grounding of Sentence in Video

49 citations · 101 across the 9 of their papers we have counts for

collaborators

20 papers

cs.CV20222 cited

Aesthetic Text Logo Synthesis via Content-aware Layout Inferring

Yizhi Wang, Guo Pu, Wenhan Luo +4

Text logo design heavily relies on the creativity and expertise of professional designers, in which arranging element layouts is one of the most important procedures. However, few…

cs.CV20221 cited

Deep Image Deblurring: A Survey

Kaihao Zhang, Wenqi Ren, Wenhan Luo +4

Image deblurring is a classic problem in low-level computer vision with the aim to recover a sharp image from a blurred input image. Advances in deep learning have led to significa…

cs.CV20211 cited

Towards Distraction-Robust Active Visual Tracking

Fangwei Zhong, Peng Sun, Wenhan Luo +2

In active visual tracking, it is notoriously difficult when distracting objects appear, as distractors often mislead the tracker by occluding the target or bringing a confusing app…

cs.CV20211 cited

T-Net: Deep Stacked Scale-Iteration Network for Image Dehazing

Lirong Zheng, Yanshan Li, Kaihao Zhang +1

Hazy images reduce the visibility of the image content, and haze will lead to failure in handling subsequent computer vision tasks. In this paper, we address the problem of image d…

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…

cs.CV2021

Blind Motion Deblurring Super-Resolution: When Dynamic Spatio-Temporal Learning Meets Static Image Understanding

Wenjia Niu, Kaihao Zhang, Wenhan Luo +1

Single-image super-resolution (SR) and multi-frame SR are two ways to super resolve low-resolution images. Single-Image SR generally handles each image independently, but ignores t…