activity
20152022
most citedVisually-Aware Fashion Recommendation and Design with Generative Image Models

32 citations · 112 across the 14 of their papers we have counts for

collaborators

28 papers

cs.CV2022

LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream Videos

Jielin Qiu, Franck Dernoncourt, Trung Bui +3

Livestream videos have become a significant part of online learning, where design, digital marketing, creative painting, and other skills are taught by experienced experts in the s…

cs.CV20224 cited

Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment

Jielin Qiu, Jiacheng Zhu, Mengdi Xu +6

Multimedia summarization with multimodal output (MSMO) is a recently explored application in language grounding. It plays an essential role in real-world applications, i.e., automa…

cs.CV202212 cited

MHMS: Multimodal Hierarchical Multimedia Summarization

Jielin Qiu, Jiacheng Zhu, Mengdi Xu +6

Multimedia summarization with multimodal output can play an essential role in real-world applications, i.e., automatically generating cover images and titles for news articles or p…

cs.CV2021

Font Completion and Manipulation by Cycling Between Multi-Modality Representations

Ye Yuan, Wuyang Chen, Zhaowen Wang +4

Generating font glyphs of consistent style from one or a few reference glyphs, i.e., font completion, is an important task in topographical design. As the problem is more well-defi…

cs.LG2021

Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study

Zhenyu Wu, Zhaowen Wang, Ye Yuan +3

Generative adversarial networks (GANs) nowadays are capable of producing images of incredible realism. One concern raised is whether the state-of-the-art GAN's learned distribution…

cs.CV20202 cited

Rethinking Text Segmentation: A Novel Dataset and A Text-Specific Refinement Approach

Xingqian Xu, Zhifei Zhang, Zhaowen Wang +3

Text segmentation is a prerequisite in many real-world text-related tasks, e.g., text style transfer, and scene text removal. However, facing the lack of high-quality datasets and…