4 citations · 12 across the 9 of their papers we have counts for
7 papers
TCR: Short Video Title Generation and Cover Selection with Attention Refinement
Yakun Yu, Jiuding Yang, Weidong Guo +3
With the widespread popularity of user-generated short videos, it becomes increasingly challenging for content creators to promote their content to potential viewers. Automatically…
CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering
Mingjun Zhao, Mengzhen Wang, Yinglong Ma +2
Text clustering, as one of the most fundamental challenges in unsupervised learning, aims at grouping semantically similar text segments without relying on human annotations. With…
Search-Map-Search: A Frame Selection Paradigm for Action Recognition
Mingjun Zhao, Yakun Yu, Xiaoli Wang +2
Despite the success of deep learning in video understanding tasks, processing every frame in a video is computationally expensive and often unnecessary in real-time applications. F…
LA3: Efficient Label-Aware AutoAugment
Mingjun Zhao, Shan Lu, Zixuan Wang +2
Automated augmentation is an emerging and effective technique to search for data augmentation policies to improve generalizability of deep neural network training. Most existing wo…
Reparameterization through Spatial Gradient Scaling
Alexander Detkov, Mohammad Salameh, Muhammad Fetrat Qharabagh +4
Reparameterization aims to improve the generalization of deep neural networks by transforming convolutional layers into equivalent multi-branched structures during training. Howeve…
GlyphDraw: Seamlessly Rendering Text with Intricate Spatial Structures in Text-to-Image Generation
Jian Ma, Mingjun Zhao, Chen Chen +4
Recent breakthroughs in the field of language-guided image generation have yielded impressive achievements, enabling the creation of high-quality and diverse images based on user i…