Wang, Pei

30 publications

ICCV 2025 Enhancing Numerical Prediction of MLLMs with Soft Labeling Pei Wang, Zhaowei Cai, Hao Yang, Davide Modolo, Ashwin Swaminathan

ICLR 2025 MTU-Bench: A Multi-Granularity Tool-Use Benchmark for Large Language Models Pei Wang, Yanan Wu, Noah Wang, Jiaheng Liu, Xiaoshuai Song, Z.Y. Peng, Ken Deng, Chenchen Zhang, JiakaiWang, Junran Peng, Ge Zhang, Hangyu Guo, Zhaoxiang Zhang, Wenbo Su, Bo Zheng

CVPR 2025 Scaling up Image Segmentation Across Data and Tasks Pei Wang, Zhaowei Cai, Hao Yang, Ashwin Swaminathan, R. Manmatha, Stefano Soatto

AAAI 2024 Discriminatively Fuzzy Multi-View K-Means Clustering with Local Structure Preserving Jun Yin, Shiliang Sun, Lai Wei, Pei Wang

CPAL 2024 Sparse Fréchet Sufficient Dimension Reduction via Nonconvex Optimization Jiaying Weng, Chenlu Ke, Pei Wang

NeurIPS 2023 Generalized Belief Transport Junqi Wang, Pei Wang, Patrick Shafto

ECML-PKDD 2023 PCDF: A Parallel-Computing Distributed Framework for Sponsored Search Advertising Serving Han Xu, Hao Qi, Yaokun Wang, Pei Wang, Guowei Zhang, Congcong Liu, Junsheng Jin, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao

CVPR 2023 Towards Professional Level Crowd Annotation of Expert Domain Data Pei Wang, Nuno Vasconcelos

ICML 2022 Discrete Probabilistic Inverse Optimal Transport Wei-Ting Chiu, Pei Wang, Patrick Shafto

CVPR 2022 Learning Distinctive Margin Toward Active Domain Adaptation Ming Xie, Yuxi Li, Yabiao Wang, Zekun Luo, Zhenye Gan, Zhongyi Sun, Mingmin Chi, Chengjie Wang, Pei Wang

CVPR 2022 Omni-DETR: Omni-Supervised Object Detection with Transformers Pei Wang, Zhaowei Cai, Hao Yang, Gurumurthy Swaminathan, Nuno Vasconcelos, Bernt Schiele, Stefano Soatto

ICCV 2021 A Machine Teaching Framework for Scalable Recognition Pei Wang, Nuno Vasconcelos

CVPR 2021 Dynamic Transfer for Multi-Source Domain Adaptation Yunsheng Li, Lu Yuan, Yinpeng Chen, Pei Wang, Nuno Vasconcelos

CVPR 2021 Gradient-Based Algorithms for Machine Teaching Pei Wang, Kabir Nagrecha, Nuno Vasconcelos

CVPR 2021 IMAGINE: Image Synthesis by Image-Guided Model Inversion Pei Wang, Yijun Li, Krishna Kumar Singh, Jingwan Lu, Nuno Vasconcelos

CVPR 2021 Rethinking and Improving the Robustness of Image Style Transfer Pei Wang, Yijun Li, Nuno Vasconcelos

NeurIPS 2020 A Mathematical Theory of Cooperative Communication Pei Wang, Junqi Wang, Pushpi Paranamana, Patrick Shafto

ECCVW 2020 DoubleU-Net: Colorectal Cancer Diagnosis and Gland Instance Segmentation with Text-Guided Feature Control Pei Wang, Albert C. S. Chung

AAAI 2020 Dynamic Reward-Based Dueling Deep Dyna-Q: Robust Policy Learning in Noisy Environments Yangyang Zhao, Zhenyu Wang, Kai Yin, Rui Zhang, Zhenhua Huang, Pei Wang

NeurIPSW 2020 Learning a Manifold from a Teacher’s Demonstrations Pei Wang, Arash Givchi, Patrick Shafto

ICML 2020 Sequential Cooperative Bayesian Inference Junqi Wang, Pei Wang, Patrick Shafto

ECCV 2020 Solving Long-Tailed Recognition with Deep Realistic Taxonomic Classifier Tz-Ying Wu, Pedro Morgado, Pei Wang, Chih-Hui Ho, Nuno Vasconcelos

NeurIPS 2019 Deliberative Explanations: Visualizing Network Insecurities Pei Wang, Nuno Nvasconcelos

AISTATS 2019 Generalizing the Theory of Cooperative Inference Pei Wang, Pushpi Paranamana, Patrick Shafto

AISTATS 2018 Optimal Cooperative Inference Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto

ECCV 2018 Towards Realistic Predictors Pei Wang, Nuno Vasconcelos

ECCV 2016 Graph Based Skeleton Motion Representation and Similarity Measurement for Action Recognition Pei Wang, Chunfeng Yuan, Weiming Hu, Bing Li, Yanning Zhang

AAAI 2000 Non-Axiomatic Reasoning System (Version 4.1) Pei Wang

UAI 1994 A Defect in Dempster-Shafer Theory Pei Wang

UAI 1993 Belief Revision in Probability Theory Pei Wang