Liu, Yajing

9 publications

CVPR 2024 Unbiased Faster R-CNN for Single-Source Domain Generalized Object Detection Yajing Liu, Shijun Zhou, Xiyao Liu, Chunhui Hao, Baojie Fan, Jiandong Tian

CVPRW 2023 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

CVPR 2023 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

ICMLW 2023 ReLU Neural Networks, Polyhedral Decompositions, and Persistent Homology Yajing Liu, Christina M Cole, Chris Peterson, Michael Kirby

ECCV 2022 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

CVPR 2022 Exposure Normalization and Compensation for Multiple-Exposure Correction Jie Huang, Yajing Liu, Xueyang Fu, Man Zhou, Yang Wang, Feng Zhao, Zhiwei Xiong

CVPR 2022 Prompt Distribution Learning Yuning Lu, Jianzhuang Liu, Yonggang Zhang, Yajing Liu, Xinmei Tian

ECCV 2022 Self-Supervision Can Be a Good Few-Shot Learner Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian

ECCV 2018 Deep Domain Generalization via Conditional Invariant Adversarial Networks Ya Li, Xinmei Tian, Mingming Gong, Yajing Liu, Tongliang Liu, Kun Zhang, Dacheng Tao