Liu, Tie

8 publications

AISTATS 2025 From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation Wenyuan Zhao, Haoyuan Chen, Tie Liu, Rui Tuo, Chao Tian

NeurIPSW 2024 From Function to Distribution Modeling: A PAC-Generative Approach to Offline Optimization Qiang Zhang, Ruida Zhou, Yang Shen, Tie Liu

AAAI 2022 Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints Ruijin Liu, Dapeng Chen, Tie Liu, Zhiliang Xiong, Zejian Yuan

NeurIPSW 2022 Solar Flare Forecasting with Data-Driven Interpretable Model Meng JIa Lv, 彭佳, 陈风, 杨过, Tie Liu

WACV 2021 End-to-End Lane Shape Prediction with Transformers Ruijin Liu, Zejian Yuan, Tie Liu, Zhiliang Xiong

ECCV 2018 DeepVS: A Deep Learning Based Video Saliency Prediction Approach Lai Jiang, Mai Xu, Tie Liu, Minglang Qiao, Zulin Wang

WACV 2017 Fast Pedestrian Detection via Random Projection Features with Shape Prior Yun Zhao, Zejian Yuan, Dapeng Chen, Jie Lyu, Tie Liu

CVPR 2007 Learning to Detect a Salient Object Tie Liu, Jian Sun, Nanning Zheng, Xiaoou Tang, Heung-Yeung Shum