activity
20212023
most citedMeta-HAR: Federated Representation Learning for Human Activity Recognition

123 citations · 285 across the 15 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2023

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…

cs.CV2023★ 2 cited

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…

cs.CV2023★ 1 cited

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…

cs.CV2023★ 3 cited

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…

cs.CV2021★ 11 cited

Similarity Embedding Networks for Robust Human Activity Recognition

Chenglin Li, Carrie Lu Tong, Di Niu +5

Deep learning models for human activity recognition (HAR) based on sensor data have been heavily studied recently. However, the generalization ability of deep models on complex rea…