137 citations · 157 across the 8 of their papers we have counts for
8 papers
UbiPhysio: Support Daily Functioning, Fitness, and Rehabilitation with Action Understanding and Feedback in Natural Language
Chongyang Wang, Yuan Feng, Lingxiao Zhong +8
We introduce UbiPhysio, a milestone framework that delivers fine-grained action description and feedback in natural language to support people's daily functioning, fitness, and reh…
MachMap: End-to-End Vectorized Solution for Compact HD-Map Construction
Limeng Qiao, Yongchao Zheng, Peng Zhang +4
This report introduces the 1st place winning solution for the Autonomous Driving Challenge 2023 - Online HD-map Construction. By delving into the vectorization pipeline, we elabora…
MEWL: Few-shot multimodal word learning with referential uncertainty
Guangyuan Jiang, Manjie Xu, Shiji Xin +4
Without explicit feedback, humans can rapidly learn the meaning of words. Children can acquire a new word after just a few passive exposures, a process known as fast mapping. This…
Denoising individual bias for a fairer binary submatrix detection
Changlin Wan, Wennan Chang, Tong Zhao +2
Low rank representation of binary matrix is powerful in disentangling sparse individual-attribute associations, and has received wide applications. Existing binary matrix factoriza…
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
Yixin Zhu, Tao Gao, Lifeng Fan +9
Recent progress in deep learning is essentially based on a "big data for small tasks" paradigm, under which massive amounts of data are used to train a classifier for a single narr…
MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer
Chi Zhang, Yixin Zhu, Song-Chun Zhu
An unprecedented booming has been witnessed in the research area of artistic style transfer ever since Gatys et al. introduced the neural method. One of the remaining challenges is…
Learning Unmanned Aerial Vehicle Control for Autonomous Target Following
Siyi Li, Tianbo Liu, Chi Zhang +2
While deep reinforcement learning (RL) methods have achieved unprecedented successes in a range of challenging problems, their applicability has been mainly limited to simulation o…
Question Retrieval for Community-based Question Answering via Heterogeneous Network Integration Learning
Zheqian Chen, Chi Zhang, Zhou Zhao +1
Community based question answering platforms have attracted substantial users to share knowledge and learn from each other. As the rapid enlargement of CQA platforms, quantities of…