activity
20142023
most citedUnitBox: An Advanced Object Detection Network

1.6k citations · 2.9k across the 40 of their papers we have counts for

collaborators
Showing 2022Show all

12 papers · 1 filter

cs.CV2022

Video Object of Interest Segmentation

Siyuan Zhou, Chunru Zhan, Biao Wang +3

In this work, we present a new computer vision task named video object of interest segmentation (VOIS). Given a video and a target image of interest, our objective is to simultaneo…

cs.CV2022★ 1 cited

Motion and Appearance Adaptation for Cross-Domain Motion Transfer

Borun Xu, Biao Wang, Jinhong Deng +5

Motion transfer aims to transfer the motion of a driving video to a source image. When there are considerable differences between object in the driving video and that in the source…

cs.CV2022

Motion Transformer for Unsupervised Image Animation

Jiale Tao, Biao Wang, Tiezheng Ge +3

Image animation aims to animate a source image by using motion learned from a driving video. Current state-of-the-art methods typically use convolutional neural networks (CNNs) to…

cs.CV2022★ 1 cited

Geometry Aligned Variational Transformer for Image-conditioned Layout Generation

Yunning Cao, Ye Ma, Min Zhou +4

Layout generation is a novel task in computer vision, which combines the challenges in both object localization and aesthetic appraisal, widely used in advertisements, posters, and…

cs.IR2022

Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model

Xiang-Rong Sheng, Jingyue Gao, Yueyao Cheng +6

Despite the development of ranking optimization techniques, pointwise loss remains the dominating approach for click-through rate prediction. It can be attributed to the calibratio…

cs.CL2022★ 2 cited

Attract me to Buy: Advertisement Copywriting Generation with Multimodal Multi-structured Information

Zhipeng Zhang, Xinglin Hou, Kai Niu +5

Recently, online shopping has gradually become a common way of shopping for people all over the world. Wonderful merchandise advertisements often attract more people to buy. These…