Hou, Xinwen

15 publications

ICML 2025 GaussMarker: Robust Dual-Domain Watermark for Diffusion Models Kecen Li, Zhicong Huang, Xinwen Hou, Cheng Hong

ECCVW 2024 DAS3D: Dual-Modality Anomaly Synthesis for 3D Anomaly Detection Kecen Li, Bingquan Dai, Jingjing Fu, Xinwen Hou

CVPR 2023 Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou

NeurIPS 2023 Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control Chao Li, Chen Gong, Qiang He, Xinwen Hou

ICCV 2023 Template-Guided Hierarchical Feature Restoration for Anomaly Detection Hewei Guo, Liping Ren, Jingjing Fu, Yuwang Wang, Zhizheng Zhang, Cuiling Lan, Haoqian Wang, Xinwen Hou

ICMLW 2022 MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning Qiang He, Huangyuan Su, Chen Gong, Xinwen Hou

ICMLW 2022 Representation Gap in Deep Reinforcement Learning Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou

ICLR 2020 Learning Representations in Reinforcement Learning: An Information Bottleneck Approach Yingjun Pei, Xinwen Hou

AAAI 2010 Gaussian Process Latent Random Field Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, Cheng-Lin Liu

AAAI 2010 Transductive Learning on Adaptive Graphs Yan-Ming Zhang, Yu Zhang, Dit-Yan Yeung, Cheng-Lin Liu, Xinwen Hou

ECML-PKDD 2009 Subspace Regularization: A New Semi-Supervised Learning Method Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-Lin Liu

CVPR 2006 Learning Boosted Asymmetric Classifiers for Object Detection Xinwen Hou, Cheng-Lin Liu, Tieniu Tan

CVPR 2001 Direct Appearance Models Xinwen Hou, Stan Z. Li, HongJiang Zhang, QianSheng Cheng

ICCV 2001 Learning Low Dimensional Invariant Signature of 3-D Object Under Varying View and Illumination from 2-D Appearances Stan Z. Li, Jie Yan, Xinwen Hou, Zeyu Li, HongJiang Zhang

CVPR 2001 Learning Spatially Localized, Parts-Based Representation Stan Z. Li, Xinwen Hou, HongJiang Zhang, QianSheng Cheng