Yajing Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
7
Active years
2018–2024
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CVPR | Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection. | Yajing Liu, Shijun Zhou, Xiyao Liu, Chunhui Hao, Baojie Fan, Jiandong Tian |
| 2024 | DATE | S-LGCN: Software-Hardware Co-Design for Accelerating LightGCN. | Shun Li, Ruiqi Chen, Enhao Tang, Yajing Liu, Jing Yang, Kun Wang |
| 2024 | IJCNN | Focus on your Geometry: Exploiting the Potential of Multi-Frame Stereo Depth Estimation Pre-training for 3D Object Detection. | Zichen Wang, Zhuokun Yao, Jianwei Zhang, Ye Zheng, Zhengyuan Zhang, Shuang Deng, Yajing Liu, Hao Liu |
| 2024 | WCNC | Neural Multiple Description Image Coding with Semantic Polarization for Lossy Channels. | Yajing Liu, Weicheng Zhang, Lingyu Chen, Xuemin Hong, Xianbin Wang |
| 2023 | CVPR | Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection. | Huma Jamil, Yajing Liu, Turgay Caglar, Christina M. Cole, Nathaniel Blanchard, Christopher Peterson, Michael Kirby |
| 2023 | CVPR | Hierarchical Prompt Learning for Multi-Task Learning. | Yajing Liu, Yuning Lu, Hao Liu, Yaozu An, Zhuoran Xu, Zhuokun Yao, Baofeng Zhang, Zhiwei Xiong, Chenguang Gui |
| 2022 | CVPR | Exposure Normalization and Compensation for Multiple-Exposure Correction. | Jie Huang, Yajing Liu, Xueyang Fu, Man Zhou, Yang Wang, Feng Zhao, Zhiwei Xiong |
| 2022 | CVPR | Prompt Distribution Learning. | Yuning Lu, Jianzhuang Liu, Yonggang Zhang, Yajing Liu, Xinmei Tian |
| 2022 | ECCV | Deep Fourier-Based Exposure Correction Network with Spatial-Frequency Interaction. | Jie Huang, Yajing Liu, Feng Zhao, Keyu Yan, Jinghao Zhang, Yukun Huang, Man Zhou, Zhiwei Xiong |
| 2022 | ECCV | Self-Supervision Can Be a Good Few-Shot Learner. | Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian |
| 2021 | ICASSP | Phoneme-Based Distribution Regularization for Speech Enhancement. | Yajing Liu, Xiulian Peng, Zhiwei Xiong, Yan Lu |
| 2020 | ACSSC | Multi-Area Model-Free State Estimation via Distributed Tensor Decomposition. | Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein |
| 2019 | CVPR | Compact Feature Learning for Multi-Domain Image Classification. | Yajing Liu, Xinmei Tian, Ya Li, Zhiwei Xiong, Feng Wu |
| 2018 | ECCV | Deep Domain Generalization via Conditional Invariant Adversarial Networks. | Ya Li, Xinmei Tian, Mingming Gong, Yajing Liu, Tongliang Liu, Kun Zhang, Dacheng Tao |