Wang, Wenbin

9 publications

AAAI 2025 Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models Wenbin Wang, Liang Ding, Minyan Zeng, Xiabin Zhou, Li Shen, Yong Luo, Wei Yu, Dacheng Tao

ICML 2025 High-Dimensional Tensor Regression with Oracle Properties Wenbin Wang, Yu Shi, Ziping Zhao

ICML 2025 Retrieval-Augmented Perception: High-Resolution Image Perception Meets Visual RAG Wenbin Wang, Yongcheng Jing, Liang Ding, Yingjie Wang, Li Shen, Yong Luo, Bo Du, Dacheng Tao

ECCV 2024 Fine-Grained Scene Graph Generation via Sample-Level Bias Prediction Yansheng Li, Tingzhu Wang, Kang Wu, Linlin Wang, Xin Guo, Wenbin Wang

ICML 2024 Principled Preferential Bayesian Optimization Wenjie Xu, Wenbin Wang, Yuning Jiang, Bratislav Svetozarevic, Colin Jones

NeurIPS 2024 Towards Robust Multimodal Sentiment Analysis with Incomplete Data Haoyu Zhang, Wenbin Wang, Tianshu Yu

CVPR 2023 Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation Yuanyuan Liu, Wenbin Wang, Yibing Zhan, Shaoze Feng, Kejun Liu, Zhe Chen

ICCV 2021 Topic Scene Graph Generation by Attention Distillation from Caption Wenbin Wang, Ruiping Wang, Xilin Chen

ECCV 2020 Sketching Image Gist: Human-Mimetic Hierarchical Scene Graph Generation Wenbin Wang, Ruiping Wang, Shiguang Shan, Xilin Chen