Liu, Zhili

12 publications

CVPR 2025 EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions Kai Chen, Yunhao Gou, Runhui Huang, Zhili Liu, Daxin Tan, Jing Xu, Chunwei Wang, Yi Zhu, Yihan Zeng, Kuo Yang, Dingdong Wang, Kun Xiang, Haoyuan Li, Haoli Bai, Jianhua Han, Xiaohui Li, Weike Jin, Nian Xie, Yu Zhang, James T. Kwok, Hengshuang Zhao, Xiaodan Liang, Dit-Yan Yeung, Xiao Chen, Zhenguo Li, Wei Zhang, Qun Liu, Lanqing Hong, Lu Hou, Hang Xu

ICLR 2025 Image-Level Memorization Detection via Inversion-Based Inference Perturbation Yue Jiang, Haokun Lin, Yang Bai, Bo Peng, Zhili Liu, Yueming Lyu, Yong Yang, Xingzheng, Jing Dong

WACV 2025 TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models Pengxiang Li, Kai Chen, Zhili Liu, Ruiyuan Gao, Lanqing Hong, Dit-Yan Yeung, Huchuan Lu, Xu Jia

ECCV 2024 Eyes Closed, Safety on: Protecting Multimodal LLMs via Image-to-Text Transformation Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James Kwok, Yu Zhang

ECCV 2024 Implicit Concept Removal of Diffusion Models Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James Kwok

CVPR 2024 MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-Wise Pruning Error Metric Haokun Lin, Haoli Bai, Zhili Liu, Lu Hou, Muyi Sun, Linqi Song, Ying Wei, Zhenan Sun

ICCV 2023 DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li

CVPR 2023 Mixed Autoencoder for Self-Supervised Visual Representation Learning Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung

ICLR 2023 Task-Customized Masked Autoencoder via Mixture of Cluster-Conditional Experts Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James Kwok

ICLR 2023 Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding Tianyang Hu, Zhili Liu, Fengwei Zhou, Wenjia Wang, Weiran Huang

AAAI 2022 Task-Customized Self-Supervised Pre-Training with Scalable Dynamic Routing Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li

AAAI 2020 EHSOD: CAM-Guided End-to-End Hybrid-Supervised Object Detection with Cascade Refinement Linpu Fang, Hang Xu, Zhili Liu, Sarah Parisot, Zhenguo Li