Liu, Yunpeng

9 publications

ICCV 2025 From Easy to Hard: Progressive Active Learning Framework for Infrared Small Target Detection with Single Point Supervision Chuang Yu, Jinmiao Zhao, Yunpeng Liu, Sicheng Zhao, Yimian Dai, Xiangyu Yue

NeurIPS 2025 NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models Under Data Constraints Changyao Tian, Hao Li, Gen Luo, Xizhou Zhu, Weijie Su, Hanming Deng, Jinguo Zhu, Jie Shao, Ziran Zhu, Yunpeng Liu, Lewei Lu, Wenhai Wang, Hongsheng Li, Jifeng Dai

CVPR 2025 See Further When Clear: Curriculum Consistency Model Yunpeng Liu, Boxiao Liu, Yi Zhang, Xingzhong Hou, Guanglu Song, Yu Liu, Haihang You

NeurIPS 2025 Towards Implicit Aggregation: Robust Image Representation for Place Recognition in the Transformer Era Feng Lu, Tong Jin, Canming Ye, Xiangyuan Lan, Yunpeng Liu, Chun Yuan

ICML 2024 Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning Jinsoo Yoo, Yunpeng Liu, Frank Wood, Geoff Pleiss

ICML 2024 Nearest Neighbour Score Estimators for Diffusion Generative Models Matthew Niedoba, Dylan Green, Saeid Naderiparizi, Vasileios Lioutas, Jonathan Wilder Lavington, Xiaoxuan Liang, Yunpeng Liu, Ke Zhang, Setareh Dabiri, Adam Scibior, Berend Zwartsenberg, Frank Wood

NeurIPS 2023 A Diffusion-Model of Joint Interactive Navigation Matthew Niedoba, Jonathan Lavington, Yunpeng Liu, Vasileios Lioutas, Justice Sefas, Xiaoxuan Liang, Dylan Green, Setareh Dabiri, Berend Zwartsenberg, Adam Scibior, Frank Wood

TMLR 2023 Conditional Permutation Invariant Flows Berend Zwartsenberg, Adam Scibior, Matthew Niedoba, Vasileios Lioutas, Justice Sefas, Yunpeng Liu, Setareh Dabiri, Jonathan Wilder Lavington, Trevor Campbell, Frank Wood

ICLR 2023 Critic Sequential Monte Carlo Vasileios Lioutas, Jonathan Wilder Lavington, Justice Sefas, Matthew Niedoba, Yunpeng Liu, Berend Zwartsenberg, Setareh Dabiri, Frank Wood, Adam Scibior