Learning Robust Subspace Clustering. - Qiang Qiu 001; Guillermo Sapiro (CoRR, 2013)

Domain-invariant Face Recognition using Learned Low-rank Transformation. - Qiang Qiu 001; Guillermo Sapiro; Ching-Hui Chen (CoRR, 2013)

Learning Transformations. - Qiang Qiu 001; Guillermo Sapiro (ICIP, 2014)

Learning compressed image classification features. - Qiang Qiu 001; Guillermo Sapiro (ICIP, 2014)

Learning Transformations for Classification Forests. - Qiang Qiu 001; Guillermo Sapiro (ICLR, 2014)

Alignment with intra-class structure can improve classification. - Jiaji Huang; Qiang Qiu 001; A. Robert Calderbank; Miguel R. D. Rodrigues; Guillermo Sapiro (ICASSP, 2015)

Classification of whale vocalizations using the Weyl transform. - Yin Xian; Andrew Thompson 001; Qiang Qiu 001; Loren W. Nolte; Douglas Nowacek; Jianfeng Lu 001; A. Robert Calderbank (ICASSP, 2015)

Geometry-Aware Deep Transform. - Jiaji Huang; Qiang Qiu 001; A. Robert Calderbank; Guillermo Sapiro (ICCV, 2015)

Intel realsense = Real low cost gaze. - Mark Draelos; Qiang Qiu 001; Alexander M. Bronstein; Guillermo Sapiro (ICIP, 2015)

Cross-modality pose-invariant facial expression. - Jordan Hashemi; Qiang Qiu 001; Guillermo Sapiro (ICIP, 2015)

Discriminative Robust Transformation Learning. - Jiaji Huang; Qiang Qiu 001; Guillermo Sapiro; A. Robert Calderbank (NIPS, 2015)

Random Forests Can Hash. - Qiang Qiu 001; Guillermo Sapiro; Alexander M. Bronstein (ICLR (Workshop), 2015)

Representation using the Weyl Transform. - Qiang Qiu 001; Andrew Thompson 001; A. Robert Calderbank; Guillermo Sapiro (ICLR (Workshop), 2015)

Learning transformations for clustering and classification. - Qiang Qiu 001; Guillermo Sapiro (J. Mach. Learn. Res., 2015)

Synthesis-Based Low-Cost Gaze Analysis. - Zhuoqing Chang; Qiang Qiu 001; Guillermo Sapiro (HCI (27), 2016)

RealSense = real heart rate: Illumination invariant heart rate estimation from videos. - Jie Chen 001; Zhuoqing Chang; Qiang Qiu 001; Xiaobai Li; Guillermo Sapiro; Alexander M. Bronstein; Matti Pietikäinen (IPTA, 2016)

Low-cost Gaze and Pulse Analysis using RealSense. - Qiang Qiu 001; Zhuoqing Chang; Mark Draelos; Jie Chen 001; Alexander M. Bronstein; Guillermo Sapiro (EAI Endorsed Trans. Ambient Syst., 2016)

Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model. - Qixiang Ye; Tianliang Zhang; Qiang Qiu 001; Baochang Zhang 001; Jie Chen 001; Guillermo Sapiro (CoRR, 2016)

A scalable app for measuring autism risk behaviors in young children: A technical validity and feasibility study. - Jordan Hashemi; Kathleen Campbell; Kimberly L. H. Carpenter; Adrianne Harris; Qiang Qiu 001; Mariano Tepper; Steven Espinosa; Jana Schaich Borg; Samuel Marsan; A. Robert Calderbank; Jeffrey P. Baker; Helen Link Egger; et al. (EAI Endorsed Trans. Scalable Inf. Syst., 2016)

The Role of Principal Angles in Subspace Classification. - Jiaji Huang; Qiang Qiu 001; A. Robert Calderbank (IEEE Trans. Signal Process., 2016)

Data Representation Using the Weyl Transform. - Qiang Qiu 001; Andrew Thompson 001; A. Robert Calderbank; Guillermo Sapiro (IEEE Trans. Signal Process., 2016)

Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding. - José Lezama; Qiang Qiu 001; Guillermo Sapiro (CVPR, 2017)

Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model. - Qixiang Ye; Tianliang Zhang; Wei Ke 003; Qiang Qiu 001; Jie Chen 001; Guillermo Sapiro; Baochang Zhang 001 (CVPR, 2017)

Oriented Response Networks. - Yanzhao Zhou; Qixiang Ye; Qiang Qiu 001; Jianbin Jiao (CVPR, 2017)

Soft Proposal Networks for Weakly Supervised Object Localization. - Yi Zhu 004; Yanzhao Zhou; Qixiang Ye; Qiang Qiu 001; Jianbin Jiao (ICCV, 2017)

Intelligent Synthesis Driven Model Calibration: Framework and Face Recognition Application. - Qiang Qiu 001; Jordan Hashemi; Guillermo Sapiro (ICCV Workshops, 2017)

Learning to Identify While Failing to Discriminate. - Jure Sokolic; Miguel R. D. Rodrigues; Qiang Qiu 001; Guillermo Sapiro (ICCV Workshops, 2017)

Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems. - Jure Sokolic; Qiang Qiu 001; Miguel R. D. Rodrigues; Guillermo Sapiro (CoRR, 2017)

In Defense of Single-column Networks for Crowd Counting. - Ze Wang 008; Zehao Xiao; Kai Xie; Qiang Qiu 001; Xiantong Zhen; Xianbin Cao 001 (BMVC, 2018)

OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning. - José Lezama; Qiang Qiu 001; Pablo Musé; Guillermo Sapiro (CVPR, 2018)

Weakly Supervised Instance Segmentation Using Class Peak Response. - Yanzhao Zhou; Yi Zhu 004; Qixiang Ye; Qiang Qiu 001; Jianbin Jiao (CVPR, 2018)

LDMNet: Low Dimensional Manifold Regularized Neural Networks. - Wei Zhu 007; Qiang Qiu 001; Jiaji Huang; A. Robert Calderbank; Guillermo Sapiro; Ingrid Daubechies (CVPR, 2018)

ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks. - Qiang Qiu 001; José Lezama; Alexander M. Bronstein; Guillermo Sapiro (ECCV (2), 2018)

Classifying Pump-Probe Images of Melanocytic Lesions Using the WEYL Transform. - Hyun Keun Ahn; Qiang Qiu 001; Edward Bosch; Andrew Thompson 001; Francisco E. Robles; Guillermo Sapiro; Warren S. Warren; A. Robert Calderbank (ICASSP, 2018)

DCFNet: Deep Neural Network with Decomposed Convolutional Filters. - Qiang Qiu 001; Xiuyuan Cheng; A. Robert Calderbank; Guillermo Sapiro (ICML, 2018)

Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification. - Albert Gong; Qiang Qiu 001; Guillermo Sapiro (CoRR, 2018)

Liveness Detection Using Implicit 3D Features. - J. Matías Di Martino; Qiang Qiu 001; Trishul Nagenalli; Guillermo Sapiro (CoRR, 2018)

Learning to Collaborate for User-Controlled Privacy. - Martín Bertrán; Natalia Martínez; Afroditi Papadaki; Qiang Qiu 001; Miguel R. D. Rodrigues; Guillermo Sapiro (CoRR, 2018)

LaneNet: Real-Time Lane Detection Networks for Autonomous Driving. - Ze Wang 008; Weiqiang Ren; Qiang Qiu 001 (CoRR, 2018)

Automatic emotion and attention analysis of young children at home: a ResearchKit autism feasibility study. - Helen Link Egger; Geraldine Dawson; Jordan Hashemi; Kimberly L. H. Carpenter; Steven Espinosa; Kathleen Campbell; Samuel Brotkin; Jana Schaich Borg; Qiang Qiu 001; Mariano Tepper; Jeffrey P. Baker; Richard A. Bloomfield Jr.; et al. (npj Digit. Medicine, 2018)

SalGaze: Personalizing Gaze Estimation using Visual Saliency. - Zhuoqing Chang; J. Matías Di Martino; Qiang Qiu 001; Steven Espinosa; Guillermo Sapiro (ICCV Workshops, 2019)

Range Adaptation for 3D Object Detection in LiDAR. - Ze Wang 008; Sihao Ding 002; Ying Li; Minming Zhao; Sohini Roychowdhury; Andreas Wallin; Guillermo Sapiro; Qiang Qiu 001 (ICCV Workshops, 2019)

RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks. - Xiuyuan Cheng; Qiang Qiu 001; A. Robert Calderbank; Guillermo Sapiro (ICLR (Poster), 2019)

Adversarially Learned Representations for Information Obfuscation and Inference. - Martín Bertrán; Natalia Martínez; Afroditi Papadaki; Qiang Qiu 001; Miguel R. D. Rodrigues; Galen Reeves; Guillermo Sapiro (ICML, 2019)

Scale-Equivariant Neural Networks with Decomposed Convolutional Filters. - Wei Zhu 007; Qiang Qiu 001; A. Robert Calderbank; Guillermo Sapiro; Xiuyuan Cheng (CoRR, 2019)

Domain-invariant Learning using Adaptive Filter Decomposition. - Ze Wang 008; Xiuyuan Cheng; Guillermo Sapiro; Qiang Qiu 001 (CoRR, 2019)

Stop Memorizing: A Data-Dependent Regularization Framework for Intrinsic Pattern Learning. - Wei Zhu 007; Qiang Qiu 001; Bao Wang 001; Jianfeng Lu 001; Guillermo Sapiro; Ingrid Daubechies (SIAM J. Math. Data Sci., 2019)

Learning to Learn with Variational Information Bottleneck for Domain Generalization. - Ying-Jun Du; Jun Xu 019; Huan Xiong; Qiang Qiu 001; Xiantong Zhen; Cees G. M. Snoek; Ling Shao 001 (ECCV (10), 2020)

Stochastic Conditional Generative Networks with Basis Decomposition. - Ze Wang 008; Xiuyuan Cheng; Guillermo Sapiro; Qiang Qiu 001 (ICLR, 2020)

A Dictionary Approach to Domain-Invariant Learning in Deep Networks. - Ze Wang 008; Xiuyuan Cheng; Guillermo Sapiro; Qiang Qiu 001 (NeurIPS, 2020)

Learning to Learn Variational Semantic Memory. - Xiantong Zhen; Ying-Jun Du; Huan Xiong; Qiang Qiu 001; Cees Snoek; Ling Shao 001 (NeurIPS, 2020)

Variational Image Deraining. - Ying-Jun Du; Jun Xu 019; Qiang Qiu 001; Xiantong Zhen; Lei Zhang 093 (WACV, 2020)

Model-Agnostic Metric for Zero-Shot Learning. - Jiayi Shen; Haochen Wang; Anran Zhang; Qiang Qiu 001; Xiantong Zhen; Xianbin Cao 001 (WACV, 2020)

ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution. - Ze Wang 008; Xiuyuan Cheng; Guillermo Sapiro; Qiang Qiu 001 (CoRR, 2020)

Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method. - J. Matías Di Martino; Fernando Suzacq; Mauricio Delbracio; Qiang Qiu 001; Guillermo Sapiro (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Low to High Dimensional Modality Hallucination Using Aggregated Fields of View. - Kausic Gunasekar; Qiang Qiu 001; Yezhou Yang (IEEE Robotics Autom. Lett., 2020)

Using Text To Teach Image Retrieval. - Haoyu Dong 003; Ze Wang 008; Qiang Qiu 001; Guillermo Sapiro (CVPR Workshops, 2021)

Adaptive Convolutions with Per-pixel Dynamic Filter Atom. - Ze Wang 008; Zichen Miao; Jun Hu; Qiang Qiu 001 (ICCV, 2021)

Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models. - José Lezama; Wei Chen 124; Qiang Qiu 001 (ICML, 2021)

Cirrus: A Long-range Bi-pattern LiDAR Dataset. - Ze Wang 008; Sihao Ding 002; Ying Li; Jonas Fenn; Sohini Roychowdhury; Andreas Wallin; Lane Martin; Scott Ryvola; Guillermo Sapiro; Qiang Qiu 001 (ICRA, 2021)

Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks. - Zichen Miao; Ze Wang 008; Xiuyuan Cheng; Qiang Qiu 001 (NeurIPS, 2021)

Image Generation using Continuous Filter Atoms. - Ze Wang 008; Seunghyun Hwang; Zichen Miao; Qiang Qiu 001 (NeurIPS, 2021)

Learning to Learn Dense Gaussian Processes for Few-Shot Learning. - Ze Wang 008; Zichen Miao; Xiantong Zhen; Qiang Qiu 001 (NeurIPS, 2021)

TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks. - Atul Sharma; Wei Chen 124; Joshua C. Zhao; Qiang Qiu 001; Somali Chaterji; Saurabh Bagchi (CoRR, 2021)

Deep ladder reconstruction-classification network for unsupervised domain adaptation. - Wanxia Deng; Zhuo Su 002; Qiang Qiu 001; Lingjun Zhao; Gangyao Kuang; Matti Pietikäinen; Huaxin Xiao; Li Liu 002 (Pattern Recognit. Lett., 2021)

Computer Vision Analysis for Quantification of Autism Risk Behaviors. - Jordan Hashemi; Geraldine Dawson; Kimberly L. H. Carpenter; Kathleen Campbell; Qiang Qiu 001; Steven Espinosa; Samuel Marsan; Jeffrey P. Baker; Helen Link Egger; Guillermo Sapiro (IEEE Trans. Affect. Comput., 2021)

Rethinking Shape From Shading for Spoofing Detection. - J. Matías Di Martino; Qiang Qiu 001; Guillermo Sapiro (IEEE Trans. Image Process., 2021)

Continual Learning with Filter Atom Swapping. - Zichen Miao; Ze Wang 008; Wei Chen 124; Qiang Qiu 001 (ICLR, 2022)

Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters. - Wei Zhu 007; Qiang Qiu 001; A. Robert Calderbank; Guillermo Sapiro; Xiuyuan Cheng (J. Mach. Learn. Res., 2022)

FLAIR: Defense against Model Poisoning Attack in Federated Learning. - Atul Sharma; Wei Chen 124; Joshua C. Zhao; Qiang Qiu 001; Saurabh Bagchi; Somali Chaterji (AsiaCCS, 2023)

Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation. - Gaurav Patel; Konda Reddy Mopuri; Qiang Qiu 001 (CVPR, 2023)

Binary Latent Diffusion. - Ze Wang 008; Jiang Wang 012; Zicheng Liu 001; Qiang Qiu 001 (CVPR, 2023)

How to Learn Collaboratively - Federated Learning to Peer-to-Peer Learning and What's at Stake. - Atul Sharma; Joshua C. Zhao; Wei Chen 124; Qiang Qiu 001; Saurabh Bagchi; Somali Chaterji (DSN-S, 2023)

Energy-Inspired Self-Supervised Pretraining for Vision Models. - Ze Wang 008; Jiang Wang 012; Zicheng Liu 001; Qiang Qiu 001 (ICLR, 2023)

Inner Product-based Neural Network Similarity. - Wei Chen 124; Zichen Miao; Qiang Qiu 001 (NeurIPS, 2023)

Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition. - Gaurav Patel; Jan P. Allebach; Qiang Qiu 001 (WACV, 2023)

Meta-OLE: Meta-learned Orthogonal Low-Rank Embedding. - Ze Wang 008; Yue Lu; Qiang Qiu 001 (WACV, 2023)

PQ-VAE: Learning Hierarchical Discrete Representations with Progressive Quantization. - Lun Huang; Qiang Qiu 001; Guillermo Sapiro (CVPR Workshops, 2024)

Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning. - Zichen Miao; Jiang Wang 012; Ze Wang 008; Zhengyuan Yang; Lijuan Wang; Qiang Qiu 001; Zicheng Liu 001 (CVPR, 2024)

Generative Quanta Color Imaging. - Vishal Purohit; Junjie Luo 009; Yiheng Chi; Qi Guo; Stanley H. Chan; Qiang Qiu 001 (CVPR, 2024)

Constructing Concept-Based Models to Mitigate Spurious Correlations with Minimal Human Effort. - Jeeyung Kim; Ze Wang 008; Qiang Qiu 001 (ECCV (80), 2024)

Model-Agnostic Human Preference Inversion in Diffusion Models. - Jeeyung Kim; Ze Wang 008; Qiang Qiu 001 (CoRR, 2024)

Posterior sampling via Langevin dynamics based on generative priors. - Vishal Purohit; Matthew Repasky; Jianfeng Lu 001; Qiang Qiu 001; Yao Xie 002; Xiuyuan Cheng (CoRR, 2024)

Learning to Customize Text-to-Image Diffusion In Diverse Context. - Taewook Kim; Wei Chen 124; Qiang Qiu 001 (CoRR, 2024)

Conditional Text-to-Image Generation with Reference Guidance. - Taewook Kim; Ze Wang 008; Zhengyuan Yang; Jiang Wang 012; Lijuan Wang; Zicheng Liu 001; Qiang Qiu 001 (CoRR, 2024)

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 001 (CVPR, 2025)

Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models. - Zichen Miao; Wei Chen 124; Qiang Qiu 001 (CVPR, 2025)

Consistency Posterior Sampling for Diverse Image Synthesis. - Vishal Purohit; Matthew Repasky; Jianfeng Lu 001; Qiang Qiu 001; Yao Xie 002; Xiuyuan Cheng (CVPR, 2025)

Large Convolutional Model Tuning via Filter Subspace. - Wei Chen 124; Zichen Miao; Qiang Qiu 001 (ICLR, 2025)

SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning. - Lun Huang; Qiang Qiu 001; Guillermo Sapiro (ICLR, 2025)

Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization. - Zichen Miao; Zhengyuan Yang; Kevin Lin; Ze Wang 008; Zicheng Liu 001; Lijuan Wang; Qiang Qiu 001 (ICLR, 2025)

Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning. - Gaurav Patel; Qiang Qiu 001 (CoRR, 2025)

Extra Clients at No Extra Cost: Overcome Data Heterogeneity in Federated Learning with Filter Decomposition. - Wei Chen 124; Qiang Qiu 001 (CoRR, 2025)

VILP: Imitation Learning With Latent Video Planning. - Zhengtong Xu; Qiang Qiu 001; Yu She (IEEE Robotics Autom. Lett., 2025)

Real-Time 3-D Thermal Simulation of Advanced Packages via Generative Adversarial Networks. - Seunghyun Hwang; Michael Joseph Smith; Vinicius C. Do Nascimento; Qiang Qiu 001; Cheng-Kok Koh; Ganesh Subbarayan; Dan Jiao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)