Qiu, Qiang

62 publications

CVPR 2025 Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models Zichen Miao, Wei Chen, Qiang Qiu

CVPR 2025 Consistency Posterior Sampling for Diverse Image Synthesis Vishal Purohit, Matthew Repasky, Jianfeng Lu, Qiang Qiu, Yao Xie, Xiuyuan Cheng

NeurIPS 2025 In-Context Compositional Learning Vis Sparse Coding Transformer Wei Chen, Jingxi Yu, Zichen Miao, Qiang Qiu

ICLR 2025 Large Convolutional Model Tuning via Filter Subspace Wei Chen, Zichen Miao, Qiang Qiu

ICCV 2025 Learning to Unlearn While Retaining: Combating Gradient Conflicts in Machine Unlearning Gaurav Patel, Qiang Qiu

ICLR 2025 SSOLE: Rethinking Orthogonal Low-Rank Embedding for Self-Supervised Learning Lun Huang, Qiang Qiu, Guillermo Sapiro

ICCV 2025 Sparse Fine-Tuning of Transformers for Generative Tasks Wei Chen, Jingxi Yu, Zichen Miao, Qiang Qiu

CVPR 2025 Text Embedding Is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention Maps Jeeyung Kim, Erfan Esmaeili, Qiang Qiu

ICLR 2025 Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization Zichen Miao, Zhengyuan Yang, Kevin Lin, Ze Wang, Zicheng Liu, Lijuan Wang, Qiang Qiu

ECCV 2024 Constructing Concept-Based Models to Mitigate Spurious Correlations with Minimal Human Effort Jeeyung Kim, Ze Wang, Qiang Qiu

CVPR 2024 Generative Quanta Color Imaging Vishal Purohit, Junjie Luo, Yiheng Chi, Qi Guo, Stanley H. Chan, Qiang Qiu

CVPRW 2024 PQ-VAE: Learning Hierarchical Discrete Representations with Progressive Quantization Lun Huang, Qiang Qiu, Guillermo Sapiro

ICLR 2024 Training Bayesian Neural Networks with Sparse Subspace Variational Inference Junbo Li, Zichen Miao, Qiang Qiu, Ruqi Zhang

CVPR 2024 Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning Zichen Miao, Jiang Wang, Ze Wang, Zhengyuan Yang, Lijuan Wang, Qiang Qiu, Zicheng Liu

CVPR 2023 Binary Latent Diffusion Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu

ICLR 2023 Energy-Inspired Self-Supervised Pretraining for Vision Models Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu

NeurIPS 2023 Inner Product-Based Neural Network Similarity Wei Chen, Zichen Miao, Qiang Qiu

AAAI 2023 Learning Adversarially Robust Sparse Networks via Weight Reparameterization Chenhao Li, Qiang Qiu, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng

CVPR 2023 Learning to Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation Gaurav Patel, Konda Reddy Mopuri, Qiang Qiu

WACV 2023 Meta-OLE: Meta-Learned Orthogonal Low-Rank Embedding Ze Wang, Yue Lu, Qiang Qiu

WACV 2023 Seq-UPS: Sequential Uncertainty-Aware Pseudo-Label Selection for Semi-Supervised Text Recognition Gaurav Patel, Jan P. Allebach, Qiang Qiu

ICML 2023 Structural Re-Weighting Improves Graph Domain Adaptation Shikun Liu, Tianchun Li, Yongbin Feng, Nhan Tran, Han Zhao, Qiang Qiu, Pan Li

NeurIPSW 2023 Training Bayesian Neural Networks with Sparse Subspace Variational Inference Junbo Li, Zichen Miao, Qiang Qiu, Ruqi Zhang

ICLR 2022 Continual Learning with Filter Atom Swapping Zichen Miao, Ze Wang, Wei Chen, Qiang Qiu

ICMLW 2022 Energy-Inspired Self-Supervised Pretraining for Vision Models Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu

ICLR 2022 Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher Brinton

JMLR 2022 Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters Wei Zhu, Qiang Qiu, Robert Calderbank, Guillermo Sapiro, Xiuyuan Cheng

ICCV 2021 Adaptive Convolutions with Per-Pixel Dynamic Filter Atom Ze Wang, Zichen Miao, Jun Hu, Qiang Qiu

NeurIPS 2021 Exploiting a Zoo of Checkpoints for Unseen Tasks Jiaji Huang, Qiang Qiu, Kenneth W. Church

ICLR 2021 Graph Convolution with Low-Rank Learnable Local Filters Xiuyuan Cheng, Zichen Miao, Qiang Qiu

NeurIPS 2021 Image Generation Using Continuous Filter Atoms Ze Wang, Seunghyun Hwang, Zichen Miao, Qiang Qiu

NeurIPS 2021 Learning to Learn Dense Gaussian Processes for Few-Shot Learning Ze Wang, Zichen Miao, Xiantong Zhen, Qiang Qiu

ICML 2021 Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models Jose Lezama, Wei Chen, Qiang Qiu

NeurIPS 2021 Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks Zichen Miao, Ze Wang, Xiuyuan Cheng, Qiang Qiu

CVPRW 2021 Using Text to Teach Image Retrieval Haoyu Dong, Ze Wang, Qiang Qiu, Guillermo Sapiro

NeurIPS 2020 A Dictionary Approach to Domain-Invariant Learning in Deep Networks Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu

NeurIPS 2020 Learning to Learn Variational Semantic Memory Xiantong Zhen, Yingjun Du, Huan Xiong, Qiang Qiu, Cees Snoek, Ling Shao

ECCV 2020 Learning to Learn with Variational Information Bottleneck for Domain Generalization Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao

WACV 2020 Model-Agnostic Metric for Zero-Shot Learning Jiayi Shen, Haochen Wang, Anran Zhang, Qiang Qiu, Xiantong Zhen, Xianbin Cao

ICLR 2020 Stochastic Conditional Generative Networks with Basis Decomposition Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu

WACV 2020 Variational Image Deraining Yingjun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang

ICML 2019 Adversarially Learned Representations for Information Obfuscation and Inference Martin Bertran, Natalia Martinez, Afroditi Papadaki, Qiang Qiu, Miguel Rodrigues, Galen Reeves, Guillermo Sapiro

ICCVW 2019 Range Adaptation for 3D Object Detection in LiDAR Ze Wang, Sihao Ding, Ying Li, Minming Zhao, Sohini Roychowdhury, Andreas Wallin, Guillermo Sapiro, Qiang Qiu

ICLR 2019 RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks Xiuyuan Cheng, Qiang Qiu, Robert Calderbank, Guillermo Sapiro

ICCVW 2019 SalGaze: Personalizing Gaze Estimation Using Visual Saliency Zhuoqing Chang, J. Matías Di Martino, Qiang Qiu, Steven Espinosa, Guillermo Sapiro

ICML 2018 DCFNet: Deep Neural Network with Decomposed Convolutional Filters Qiang Qiu, Xiuyuan Cheng, Calderbank, Guillermo Sapiro

ECCV 2018 ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks Qiang Qiu, Jose Lezama, Alex Bronstein, Guillermo Sapiro

ICCVW 2017 Intelligent Synthesis Driven Model Calibration: Framework and Face Recognition Application Qiang Qiu, Jordan Hashemi, Guillermo Sapiro

ICCVW 2017 Learning to Identify While Failing to Discriminate Jure Sokolic, Miguel R. D. Rodrigues, Qiang Qiu, Guillermo Sapiro

CVPR 2017 Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding Jose Lezama, Qiang Qiu, Guillermo Sapiro

CVPR 2017 Oriented Response Networks Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao

CVPR 2017 Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model Qixiang Ye, Tianliang Zhang, Wei Ke, Qiang Qiu, Jie Chen, Guillermo Sapiro, Baochang Zhang

ICCV 2017 Soft Proposal Networks for Weakly Supervised Object Localization Yi Zhu, Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao

NeurIPS 2015 Discriminative Robust Transformation Learning Jiaji Huang, Qiang Qiu, Guillermo Sapiro, Robert Calderbank

ICCV 2015 Geometry-Aware Deep Transform Jiaji Huang, Qiang Qiu, Robert Calderbank, Guillermo Sapiro

JMLR 2015 Learning Transformations for Clustering and Classification Qiang Qiu, Guillermo Sapiro

ICLR 2015 Random Forests Can Hash Qiang Qiu, Guillermo Sapiro, Alexander M. Bronstein

ICLR 2015 Representation Using the Weyl Transform Qiang Qiu, Andrew Thompson, A. Robert Calderbank, Guillermo Sapiro

ICLR 2014 Learning Transformations for Classification Forests Qiang Qiu, Guillermo Sapiro

CVPR 2013 Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation Jie Ni, Qiang Qiu, Rama Chellappa

ECCV 2012 Domain Adaptive Dictionary Learning Qiang Qiu, Vishal M. Patel, Pavan K. Turaga, Rama Chellappa

ICCV 2011 Sparse Dictionary-Based Representation and Recognition of Action Attributes Qiang Qiu, Zhuolin Jiang, Rama Chellappa