85 citations
- University of California, BerkeleyUS3 papers
- Beihang UniversityCN2 papers
- Nankai UniversityCN2 papers
- Peking UniversityCN2 papers
- Renmin University of ChinaCN2 papers
- Tsinghua UniversityCN2 papers
- University of Chinese Academy of SciencesCN2 papers
- University of MichiganUS2 papers
- Africa Nazarene UniversityKE1 paper
- Beijing University of Posts and TelecommunicationsCN1 paper
- Carleton UniversityCA1 paper
- Center for Excellence in Brain Science and Intelligence TechnologyCN1 paper
9 papers · 1 filter
Bi-Dimensional Feature Alignment for Cross-Domain Object Detection
Zhen Zhao, Yuhong Guo, Jieping Ye
Recently the problem of cross-domain object detection has started drawing attention in the computer vision community. In this paper, we propose a novel unsupervised cross-domain de…
Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources
Sicheng Zhao, Yang Xiao, Jiang Guo +5
Sentiment analysis of user-generated reviews or comments on products and services in social networks can help enterprises to analyze the feedback from customers and take correspond…
Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation
Luanxuan Hou, Jie Cao, Yuan Zhao +3
We propose an augmented Parallel-Pyramid Net () with feature refinement by dilated bottleneck and attention module. During data preprocessing, we proposed a differentiable…
Spatio-Temporal Hierarchical Adaptive Dispatching for Ridesharing Systems
Chang Liu, Jiahui Sun, Haiming Jin +7
Nowadays, ridesharing has become one of the most popular services offered by online ride-hailing platforms (e.g., Uber and Didi Chuxing). Existing ridesharing platforms adopt the s…
Emotion-Based End-to-End Matching Between Image and Music in Valence-Arousal Space
Sicheng Zhao, Yaxian Li, Xingxu Yao +4
Both images and music can convey rich semantics and are widely used to induce specific emotions. Matching images and music with similar emotions might help to make emotion percepti…
Single Image Super-Resolution via a Holistic Attention Network
Ben Niu, Weilei Wen, Wenqi Ren +6
Informative features play a crucial role in the single image super-resolution task. Channel attention has been demonstrated to be effective for preserving information-rich features…