Zhong, Yuanyi

10 publications

ICCV 2023 Contrastive Learning Relies More on Spatial Inductive Bias than Supervised Learning: An Empirical Study Yuanyi Zhong, Haoran Tang, Jun-Kun Chen, Yu-Xiong Wang

WACV 2023 Do Pre-Trained Models Benefit Equally in Continual Learning? Kuan-Ying Lee, Yuanyi Zhong, Yu-Xiong Wang

ICCV 2023 Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang, David Forsyth

NeurIPS 2023 YouTubePD: A Multimodal Benchmark for Parkinson’s Disease Analysis Andy Zhou, Samuel Li, Pranav Sriram, Xiang Li, Jiahua Dong, Ansh Sharma, Yuanyi Zhong, Shirui Luo, Volodymyr Kindratenko, George Heintz, Christopher Zallek, Yu-Xiong Wang

ICMLW 2022 Is Self-Supervised Contrastive Learning More Robust than Supervised Learning? Yuanyi Zhong, Haoran Tang, Junkun Chen, Jian Peng, Yu-Xiong Wang

CVPR 2021 DAP: Detection-Aware Pre-Training with Weak Supervision Yuanyi Zhong, Jianfeng Wang, Lijuan Wang, Jian Peng, Yu-Xiong Wang, Lei Zhang

ICCV 2021 Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation Yuanyi Zhong, Bodi Yuan, Hong Wu, Zhiqiang Yuan, Jian Peng, Yu-Xiong Wang

WACV 2020 Anchor Box Optimization for Object Detection Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang

ECCV 2020 Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang

AAAI 2017 StructInf: Mining Structural Influence from Social Streams Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, Jimeng Sun