Fang, Xiang

16 publications

ICML 2025 Adaptive Multi-Prompt Contrastive Network for Few-Shot Out-of-Distribution Detection Xiang Fang, Arvind Easwaran, Blaise Genest
ICML 2025 DyPolySeg: Taylor Series-Inspired Dynamic Polynomial Fitting Network for Few-Shot Point Cloud Semantic Segmentation Changshuo Wang, Xiang Fang, Prayag Tiwari
NeurIPS 2025 Fit the Distribution: Cross-Image/Prompt Adversarial Attacks on Multimodal Large Language Models Hai Yan, Haijian Ma, Xiaowen Cai, Daizong Liu, Zenghui Yuan, Xiaoye Qu, Jianfeng Dong, Runwei Guan, Xiang Fang, Hongyang He, Yulai Xie, Pan Zhou
NeurIPS 2025 Hierarchical Semantic-Augmented Navigation: Optimal Transport and Graph-Driven Reasoning for Vision-Language Navigation Xiang Fang, Wanlong Fang, Changshuo Wang
AAAI 2025 Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network Xiang Fang, Wanlong Fang, Changshuo Wang, Daizong Liu, Keke Tang, Jianfeng Dong, Pan Zhou, Beibei Li
CVPR 2025 Point Clouds Meets Physics: Dynamic Acoustic Field Fitting Network for Point Cloud Understanding Changshuo Wang, Shuting He, Xiang Fang, Jiawei Han, Zhonghang Liu, Xin Ning, Weijun Li, Prayag Tiwari
NeurIPS 2025 Reasoning Beyond Points: A Visual Introspective Approach for Few-Shot 3D Segmentation Changshuo Wang, Shuting He, Xiang Fang, Zhijian Hu, Jia-Hong Huang, Yixian Shen, Prayag Tiwari
CVPR 2025 Simplification Is All You Need Against Out-of-Distribution Overconfidence Keke Tang, Chao Hou, Weilong Peng, Xiang Fang, Zhize Wu, Yongwei Nie, Wenping Wang, Zhihong Tian
AAAI 2025 Taylor Series-Inspired Local Structure Fitting Network for Few-Shot Point Cloud Semantic Segmentation Changshuo Wang, Shuting He, Xiang Fang, Meiqing Wu, Siew-Kei Lam, Prayag Tiwari
NeurIPS 2025 Towards Building Model/Prompt-Transferable Attackers Against Large Vision-Language Models Xiaowen Cai, Daizong Liu, Xiaoye Qu, Xiang Fang, Jianfeng Dong, Keke Tang, Pan Zhou, Lichao Sun, Wei Hu
AAAI 2024 Fewer Steps, Better Performance: Efficient Cross-Modal CLIP Trimming for Video Moment Retrieval Using Language Xiang Fang, Daizong Liu, Wanlong Fang, Pan Zhou, Zichuan Xu, Wenzheng Xu, Junyang Chen, Renfu Li
NeurIPS 2024 Pandora's Box: Towards Building Universal Attackers Against Real-World Large Vision-Language Models Daizong Liu, Mingyu Yang, Xiaoye Qu, Pan Zhou, Xiang Fang, Keke Tang, Yao Wan, Lichao Sun
ECCV 2024 Rethinking Weakly-Supervised Video Temporal Grounding from a Game Perspective Xiang Fang, Zeyu Xiong, Wanlong Fang, Xiaoye Qu, Chen Chen, Jianfeng Dong, Keke Tang, Pan Zhou, Yu Cheng, Daizong Liu
AAAI 2024 Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization Daizong Liu, Xiang Fang, Xiaoye Qu, Jianfeng Dong, He Yan, Yang Yang, Pan Zhou, Yu Cheng
AAAI 2023 Hypotheses Tree Building for One-Shot Temporal Sentence Localization Daizong Liu, Xiang Fang, Pan Zhou, Xing Di, Weining Lu, Yu Cheng
CVPR 2023 You Can Ground Earlier than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos Xiang Fang, Daizong Liu, Pan Zhou, Guoshun Nan