Liu, Yexin

7 publications

ICCV 2025 Depth Any Event Stream: Enhancing Event-Based Monocular Depth Estimation via Dense-to-Sparse Distillation Jinjing Zhu, Tianbo Pan, Zidong Cao, Yexin Liu, James T. Kwok, Hui Xiong

NeurIPS 2025 Leader360V: A Large-Scale, Real-World 360 Video Dataset for Multi-Task Learning in Diverse Environment Weiming Zhang, Dingwen Xiao, Aobotao Dai, Yexin Liu, Tianbo Pan, Shiqi Wen, Lei Chen, Lin Wang

ICCV 2025 Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion Models Xuran Ma, Yexin Liu, Yaofu Liu, Xianfeng Wu, Mingzhe Zheng, Zihao Wang, Ser-Nam Lim, Harry Yang

CVPR 2025 Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly Yexin Liu, Zhengyang Liang, Yueze Wang, Xianfeng Wu, Feilong Tang, Muyang He, Jian Li, Zheng Liu, Harry Yang, Sernam Lim, Bo Zhao

NeurIPS 2025 When Semantics Mislead Vision: Mitigating Large Multimodal Models Hallucinations in Scene Text Spotting and Understanding Yan Shu, Hangui Lin, Yexin Liu, Yan Zhang, Gangyan Zeng, Yan Li, Yu Zhou, Ser-Nam Lim, Harry Yang, Nicu Sebe

CVPR 2024 GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-Aware Panoramic Semantic Segmentation Weiming Zhang, Yexin Liu, Xu Zheng, Lin Wang

CVPR 2023 Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation Xu Zheng, Jinjing Zhu, Yexin Liu, Zidong Cao, Chong Fu, Lin Wang