activity
20172021
most citedLook Closer to Ground Better: Weakly-Supervised Temporal Grounding of Sentence in Video

49 citations · 255 across the 20 of their papers we have counts for

collaborators
Showing 2021 · cs.CVShow all

5 papers · 2 filters

cs.CV2021★ 21 cited

Controllable Video Captioning with an Exemplar Sentence

Yitian Yuan, Lin Ma, Jingwen Wang +1

In this paper, we investigate a novel and challenging task, namely controllable video captioning with an exemplar sentence. Formally, given a video and a syntactically valid exempl…

cs.CV2021

Syntax Customized Video Captioning by Imitating Exemplar Sentences

Yitian Yuan, Lin Ma, Wenwu Zhu

Enhancing the diversity of sentences to describe video contents is an important problem arising in recent video captioning research. In this paper, we explore this problem from a n…

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★ 2 cited

Relation-aware Instance Refinement for Weakly Supervised Visual Grounding

Yongfei Liu, Bo Wan, Lin Ma +1

Visual grounding, which aims to build a correspondence between visual objects and their language entities, plays a key role in cross-modal scene understanding. One promising and sc…

cs.CV2021

Dual Attention-in-Attention Model for Joint Rain Streak and Raindrop Removal

Kaihao Zhang, Dongxu Li, Wenhan Luo +1

Rain streaks and rain drops are two natural phenomena, which degrade image capture in different ways. Currently, most existing deep deraining networks take them as two distinct pro…