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Qiu Qiang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j30]Jing Xie, Yuzhong Yan, Abhishek Saxena, Qiang Qiu, Jiangong Chen
, Hongyu Sun, Rong Chen, Shuvra S. Bhattacharyya:
ShaderNN: A lightweight and efficient inference engine for real-time applications on mobile GPUs. Neurocomputing 611: 128628 (2025)- 2024
- [j29]Daixian Zhu, Peixuan Liu, Qiang Qiu, Jiaxin Wei, Ruolin Gong:
BY-SLAM: Dynamic Visual SLAM System Based on BEBLID and Semantic Information Extraction. Sensors 24(14): 4693 (2024) - [c94]Lun Huang, Qiang Qiu, Guillermo Sapiro:
PQ-VAE: Learning Hierarchical Discrete Representations with Progressive Quantization. CVPR Workshops 2024: 7550-7558 - [c93]Zichen Miao, Jiang Wang, Ze Wang, Zhengyuan Yang, Lijuan Wang, Qiang Qiu, Zicheng Liu:
Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning. CVPR 2024: 10844-10853 - [c92]Vishal Purohit, Junjie Luo, Yiheng Chi, Qi Guo, Stanley H. Chan, Qiang Qiu:
Generative Quanta Color Imaging. CVPR 2024: 25138-25148 - [c91]Jeeyung Kim, Ze Wang, Qiang Qiu:
Constructing Concept-Based Models to Mitigate Spurious Correlations with Minimal Human Effort. ECCV (80) 2024: 137-153 - [c90]Yujie Li, Zezhi Shao, Yongjun Xu, Qiang Qiu, Zhaogang Cao, Fei Wang:
Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting. ICASSP 2024: 5245-5249 - [c89]Junbo Li, Zichen Miao, Qiang Qiu, Ruqi Zhang:
Training Bayesian Neural Networks with Sparse Subspace Variational Inference. ICLR 2024 - [c88]Sipeng Yang, Qingchuan Zhu, Junhao Zhuge, Qiang Qiu, Chen Li, Yuzhong Yan, Huihui Xu, Ling-Qi Yan, Xiaogang Jin:
Mob-FGSR: Frame Generation and Super Resolution for Mobile Real-Time Rendering. SIGGRAPH (Conference Paper Track) 2024: 64 - [i58]Junbo Li, Zichen Miao, Qiang Qiu, Ruqi Zhang:
Training Bayesian Neural Networks with Sparse Subspace Variational Inference. CoRR abs/2402.11025 (2024) - [i57]Wei Chen, Zichen Miao, Qiang Qiu:
Large Convolutional Model Tuning via Filter Subspace. CoRR abs/2403.00269 (2024) - [i56]Vishal Purohit, Junjie Luo, Yiheng Chi, Qi Guo, Stanley H. Chan, Qiang Qiu:
Generative Quanta Color Imaging. CoRR abs/2403.19066 (2024) - [i55]Jeeyung Kim, Ze Wang, Qiang Qiu:
Model-Agnostic Human Preference Inversion in Diffusion Models. CoRR abs/2404.00879 (2024) - [i54]Jeeyung Kim, Ze Wang, Qiang Qiu:
Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort. CoRR abs/2407.08947 (2024) - [i53]Vishal Purohit, Matthew Repasky, Jianfeng Lu, Qiang Qiu, Yao Xie, Xiuyuan Cheng:
Posterior sampling via Langevin dynamics based on generative priors. CoRR abs/2410.02078 (2024) - [i52]Zichen Miao, Zhengyuan Yang, Kevin Lin, Ze Wang, Zicheng Liu, Lijuan Wang, Qiang Qiu:
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization. CoRR abs/2410.03190 (2024) - [i51]Taewook Kim, Wei Chen, Qiang Qiu:
Learning to Customize Text-to-Image Diffusion In Diverse Context. CoRR abs/2410.10058 (2024) - 2023
- [c87]Chenhao Li, Qiang Qiu, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng:
Learning Adversarially Robust Sparse Networks via Weight Reparameterization. AAAI 2023: 8527-8535 - [c86]Atul Sharma, Wei Chen, Joshua C. Zhao, Qiang Qiu, Saurabh Bagchi, Somali Chaterji:
FLAIR: Defense against Model Poisoning Attack in Federated Learning. AsiaCCS 2023: 553-566 - [c85]Gaurav Patel, Konda Reddy Mopuri, Qiang Qiu:
Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation. CVPR 2023: 7786-7794 - [c84]Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu:
Binary Latent Diffusion. CVPR 2023: 22576-22585 - [c83]Atul Sharma, Joshua C. Zhao, Wei Chen, Qiang Qiu, Saurabh Bagchi, Somali Chaterji:
How to Learn Collaboratively - Federated Learning to Peer-to-Peer Learning and What's at Stake. DSN-S 2023: 122-126 - [c82]Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu:
Energy-Inspired Self-Supervised Pretraining for Vision Models. ICLR 2023 - [c81]Shikun Liu, Tianchun Li, Yongbin Feng, Nhan Tran, Han Zhao, Qiang Qiu, Pan Li:
Structural Re-weighting Improves Graph Domain Adaptation. ICML 2023: 21778-21793 - [c80]Wei Chen, Zichen Miao, Qiang Qiu:
Inner Product-based Neural Network Similarity. NeurIPS 2023 - [c79]Ze Wang, Yue Lu, Qiang Qiu:
Meta-OLE: Meta-learned Orthogonal Low-Rank Embedding. WACV 2023: 5294-5303 - [c78]Gaurav Patel, Jan P. Allebach, Qiang Qiu:
Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition. WACV 2023: 6169-6179 - [i50]Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu:
Energy-Inspired Self-Supervised Pretraining for Vision Models. CoRR abs/2302.01384 (2023) - [i49]Gaurav Patel, Konda Reddy Mopuri, Qiang Qiu:
Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation. CoRR abs/2302.14290 (2023) - [i48]Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu:
Binary Latent Diffusion. CoRR abs/2304.04820 (2023) - [i47]Shikun Liu, Tianchun Li, Yongbin Feng, Nhan Tran, Han Zhao, Qiu Qiang, Pan Li:
Structural Re-weighting Improves Graph Domain Adaptation. CoRR abs/2306.03221 (2023) - [i46]Yujie Li, Zezhi Shao, Yongjun Xu, Qiang Qiu, Zhaogang Cao, Fei Wang:
Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting. CoRR abs/2312.11933 (2023) - 2022
- [j28]Min Li, Baosheng Wu, Peng Zhang, Ye Li, Wenjie Xu, Kun Wang, Qiang Qiu, Jun Zhang, Jie Li, Chi Zhang, Jiangtao Fan, Chenguang Feng, Zuozhi Chen:
Genomes of Two Flying Squid Species Provide Novel Insights into Adaptations of Cephalopods to Pelagic Life. Genom. Proteom. Bioinform. 20(6): 1053-1065 (2022) - [j27]Chi Zhang, Hong-Yu Zhou, Qiang Qiu, Zhichun Jian, Daoye Zhu, Chengqi Cheng, Liesong He, Guoping Liu, Xiang Wen, Runbo Hu:
Augmented Multi-Component Recurrent Graph Convolutional Network for Traffic Flow Forecasting. ISPRS Int. J. Geo Inf. 11(2): 88 (2022) - [j26]Wei Zhu, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro, Xiuyuan Cheng:
Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters. J. Mach. Learn. Res. 23: 68:1-68:45 (2022) - [j25]Jie Feng, Yong Li, Zeyu Yang, Qiang Qiu, Depeng Jin:
Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks. IEEE Trans. Knowl. Data Eng. 34(5): 2360-2374 (2022) - [c77]Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher G. Brinton:
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? ICLR 2022 - [c76]Zichen Miao, Ze Wang, Wei Chen, Qiang Qiu:
Continual Learning with Filter Atom Swapping. ICLR 2022 - [i45]Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher G. Brinton:
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? CoRR abs/2202.00280 (2022) - [i44]Gaurav Patel, Jan P. Allebach, Qiang Qiu:
Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition. CoRR abs/2209.00641 (2022) - 2021
- [j24]Qiaoling Zhong, Zhibin Zhang, Qiang Qiu, Xueqi Cheng:
Roulette: A Pruning Framework to Train a Sparse Neural Network From Scratch. IEEE Access 9: 51134-51145 (2021) - [j23]Mitchell E. Gronowitz, Adam Liu, Qiang Qiu, C. Ron Yu, Thomas A. Cleland:
A physicochemical model of odor sampling. PLoS Comput. Biol. 17(6) (2021) - [j22]Wanxia Deng, Zhuo Su, Qiang Qiu, Lingjun Zhao, Gangyao Kuang, Matti Pietikäinen, Huaxin Xiao, Li Liu:
Deep ladder reconstruction-classification network for unsupervised domain adaptation. Pattern Recognit. Lett. 152: 398-405 (2021) - [j21]Jordan Hashemi, Geraldine Dawson, Kimberly L. H. Carpenter, Kathleen Campbell, Qiang Qiu, Steven Espinosa, Samuel Marsan, Jeffrey P. Baker, Helen Link Egger, Guillermo Sapiro:
Computer Vision Analysis for Quantification of Autism Risk Behaviors. IEEE Trans. Affect. Comput. 12(1): 215-226 (2021) - [j20]Zhenjie Liu, Qiang Qiu, Jun Li, Lizhe Wang, Antonio Plaza:
Geographic Optimal Transport for Heterogeneous Data: Fusing Remote Sensing and Social Media. IEEE Trans. Geosci. Remote. Sens. 59(8): 6935-6945 (2021) - [j19]J. Matías Di Martino, Qiang Qiu, Guillermo Sapiro:
Rethinking Shape From Shading for Spoofing Detection. IEEE Trans. Image Process. 30: 1086-1099 (2021) - [c75]Haoyu Dong, Ze Wang, Qiang Qiu, Guillermo Sapiro:
Using Text To Teach Image Retrieval. CVPR Workshops 2021: 1643-1652 - [c74]Ze Wang, Zichen Miao, Jun Hu, Qiang Qiu:
Adaptive Convolutions with Per-pixel Dynamic Filter Atom. ICCV 2021: 12282-12291 - [c73]Xiuyuan Cheng, Zichen Miao, Qiang Qiu:
Graph Convolution with Low-rank Learnable Local Filters. ICLR 2021 - [c72]José Lezama, Wei Chen, Qiang Qiu:
Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models. ICML 2021: 6275-6285 - [c71]Ze Wang, Sihao Ding, Ying Li, Jonas Fenn, Sohini Roychowdhury, Andreas Wallin, Lane Martin, Scott Ryvola, Guillermo Sapiro, Qiang Qiu:
Cirrus: A Long-range Bi-pattern LiDAR Dataset. ICRA 2021: 5744-5750 - [c70]Zichen Miao, Ze Wang, Xiuyuan Cheng, Qiang Qiu:
Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks. NeurIPS 2021: 3376-3388 - [c69]Ze Wang, Zichen Miao, Xiantong Zhen, Qiang Qiu:
Learning to Learn Dense Gaussian Processes for Few-Shot Learning. NeurIPS 2021: 13230-13241 - [c68]Ze Wang, Seunghyun Hwang, Zichen Miao, Qiang Qiu:
Image Generation using Continuous Filter Atoms. NeurIPS 2021: 17826-17838 - [c67]Jiaji Huang, Qiang Qiu, Kenneth Church:
Exploiting a Zoo of Checkpoints for Unseen Tasks. NeurIPS 2021: 19423-19434 - [i43]Ze Wang, Zichen Miao, Jun Hu, Qiang Qiu:
Adaptive Convolutions with Per-pixel Dynamic Filter Atom. CoRR abs/2108.07895 (2021) - [i42]Atul Sharma, Wei Chen, Joshua C. Zhao, Qiang Qiu, Somali Chaterji, Saurabh Bagchi:
TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks. CoRR abs/2110.10108 (2021) - [i41]Jiaji Huang, Qiang Qiu, Kenneth Church:
Exploiting a Zoo of Checkpoints for Unseen Tasks. CoRR abs/2111.03628 (2021) - 2020
- [j18]Qiang Qiu, Qixin Cao:
Motion planning in semistructured environments with teaching roadmaps. Intell. Serv. Robotics 13(3): 331-342 (2020) - [j17]J. Matías Di Martino, Fernando Suzacq, Mauricio Delbracio, Qiang Qiu, Guillermo Sapiro:
Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method. IEEE Trans. Pattern Anal. Mach. Intell. 42(7): 1582-1593 (2020) - [j16]Kausic Gunasekar, Qiang Qiu, Yezhou Yang:
Low to High Dimensional Modality Hallucination Using Aggregated Fields of View. IEEE Robotics Autom. Lett. 5(2): 1983-1990 (2020) - [c66]Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Learning to Learn with Variational Information Bottleneck for Domain Generalization. ECCV (10) 2020: 200-216 - [c65]Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu:
Stochastic Conditional Generative Networks with Basis Decomposition. ICLR 2020 - [c64]Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu:
A Dictionary Approach to Domain-Invariant Learning in Deep Networks. NeurIPS 2020 - [c63]Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees Snoek, Ling Shao:
Learning to Learn Variational Semantic Memory. NeurIPS 2020 - [c62]Jiayi Shen, Haochen Wang, Anran Zhang, Qiang Qiu, Xiantong Zhen, Xianbin Cao:
Model-Agnostic Metric for Zero-Shot Learning. WACV 2020: 775-784 - [c61]Ying-Jun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang:
Variational Image Deraining. WACV 2020: 2395-2404 - [i40]J. Matías Di Martino, Fernando Suzacq, Mauricio Delbracio, Qiang Qiu, Guillermo Sapiro:
Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method. CoRR abs/2004.03385 (2020) - [i39]Kausic Gunasekar, Qiang Qiu, Yezhou Yang:
Low to High Dimensional Modality Hallucination using Aggregated Fields of View. CoRR abs/2007.06166 (2020) - [i38]Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Learning to Learn with Variational Information Bottleneck for Domain Generalization. CoRR abs/2007.07645 (2020) - [i37]Xiuyuan Cheng, Zichen Miao, Qiang Qiu:
Graph Neural Networks with Low-rank Learnable Local Filters. CoRR abs/2008.01818 (2020) - [i36]Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu:
ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution. CoRR abs/2009.02386 (2020) - [i35]Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees G. M. Snoek, Ling Shao:
Learning to Learn Variational Semantic Memory. CoRR abs/2010.10341 (2020) - [i34]Haoyu Dong, Ze Wang, Qiang Qiu, Guillermo Sapiro:
Using Text to Teach Image Retrieval. CoRR abs/2011.09928 (2020) - [i33]Ze Wang, Sihao Ding, Ying Li, Jonas Fenn, Sohini Roychowdhury, Andreas Wallin, Lane Martin, Scott Ryvola, Guillermo Sapiro, Qiang Qiu:
Cirrus: A Long-range Bi-pattern LiDAR Dataset. CoRR abs/2012.02938 (2020)
2010 – 2019
- 2019
- [j15]Leyin Hu, Keren Dai, Chengqi Xing, Zhenhong Li, Roberto Tomás, Beth Clark, Xianlin Shi, Mi Chen, Rui Zhang, Qiang Qiu, Yajun Lu:
Land subsidence in Beijing and its relationship with geological faults revealed by Sentinel-1 InSAR observations. Int. J. Appl. Earth Obs. Geoinformation 82 (2019) - [j14]Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies:
Stop Memorizing: A Data-Dependent Regularization Framework for Intrinsic Pattern Learning. SIAM J. Math. Data Sci. 1(3): 476-496 (2019) - [c60]Jiaji Huang, Qiang Qiu, Kenneth Church:
Hubless Nearest Neighbor Search for Bilingual Lexicon Induction. ACL (1) 2019: 4072-4080 - [c59]Cheng Xu, Zhaoqun Li, Qiang Qiu, Biao Leng, Jingfei Jiang:
Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval. ICCV 2019: 3731-3739 - [c58]Zhuoqing Chang, J. Matías Di Martino, Qiang Qiu, Steven Espinosa, Guillermo Sapiro:
SalGaze: Personalizing Gaze Estimation using Visual Saliency. ICCV Workshops 2019: 1169-1178 - [c57]Ze Wang, Sihao Ding, Ying Li, Minming Zhao, Sohini Roychowdhury, Andreas Wallin, Guillermo Sapiro, Qiang Qiu:
Range Adaptation for 3D Object Detection in LiDAR. ICCV Workshops 2019: 2320-2328 - [c56]Xiuyuan Cheng, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro:
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks. ICLR (Poster) 2019 - [c55]Martín Bertrán, Natalia Martínez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Galen Reeves, Guillermo Sapiro:
Adversarially Learned Representations for Information Obfuscation and Inference. ICML 2019: 614-623 - [c54]Jiaqi Jin, Zhuojian Xiao, Qiang Qiu, Jinyun Fang:
A Geohash Based Place2vec Model. IGARSS 2019: 3344-3347 - [i32]Andrew-Hieu Nguyen, Hui Li, Qiang Qiu, Yuzeng Wang, Zhaoyang Wang:
Single-shot 3D shape reconstruction using deep convolutional neural networks. CoRR abs/1909.07766 (2019) - [i31]Wei Zhu, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro, Xiuyuan Cheng:
Scale-Equivariant Neural Networks with Decomposed Convolutional Filters. CoRR abs/1909.11193 (2019) - [i30]Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu:
Domain-invariant Learning using Adaptive Filter Decomposition. CoRR abs/1909.11285 (2019) - [i29]Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu:
Stochastic Conditional Generative Networks with Basis Decomposition. CoRR abs/1909.11286 (2019) - [i28]Ze Wang, Sihao Ding, Ying Li, Minming Zhao, Sohini Roychowdhury, Andreas Wallin, Guillermo Sapiro, Qiang Qiu:
Range Adaptation for 3D Object Detection in LiDAR. CoRR abs/1909.12249 (2019) - [i27]Zhuoqing Chang, J. Matías Di Martino, Qiang Qiu, Steven Espinosa, Guillermo Sapiro:
SalGaze: Personalizing Gaze Estimation Using Visual Saliency. CoRR abs/1910.10603 (2019) - 2018
- [j13]Qiang Qiu, Qixin Cao:
Task constrained motion planning for 7-degree of freedom manipulators with parameterized submanifolds. Ind. Robot 45(3): 363-370 (2018) - [j12]Helen Link Egger, Geraldine Dawson, Jordan Hashemi, Kimberly L. H. Carpenter, Steven Espinosa, Kathleen Campbell, Samuel Brotkin, Jana Schaich Borg, Qiang Qiu, Mariano Tepper, Jeffrey P. Baker, Richard A. Bloomfield Jr., Guillermo Sapiro:
Automatic emotion and attention analysis of young children at home: a ResearchKit autism feasibility study. npj Digit. Medicine 1 (2018) - [c53]Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao:
In Defense of Single-column Networks for Crowd Counting. BMVC 2018: 78 - [c52]Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies:
LDMNet: Low Dimensional Manifold Regularized Neural Networks. CVPR 2018: 2743-2751 - [c51]Yanzhao Zhou, Yi Zhu, Qixiang Ye, Qiang Qiu, Jianbin Jiao:
Weakly Supervised Instance Segmentation Using Class Peak Response. CVPR 2018: 3791-3800 - [c50]José Lezama, Qiang Qiu, Pablo Musé, Guillermo Sapiro:
OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning. CVPR 2018: 8109-8118 - [c49]Qiang Qiu, José Lezama, Alexander M. Bronstein, Guillermo Sapiro:
ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks. ECCV (2) 2018: 442-459 - [c48]Hyun Keun Ahn, Qiang Qiu, Edward Bosch, Andrew Thompson, Francisco E. Robles, Guillermo Sapiro, Warren S. Warren, A. Robert Calderbank:
Classifying Pump-Probe Images of Melanocytic Lesions Using the WEYL Transform. ICASSP 2018: 4209-4213 - [c47]Qiang Qiu, Zichen Song:
A Nonuniform Weighted Loss Function for Imbalanced Image Classification. ICIGP 2018: 78-82 - [c46]Zichen Song, Qiang Qiu:
Learn to Classify and Count: A Unified Framework for Object Classification and Counting. ICIGP 2018: 110-114 - [c45]Qiang Qiu, Xiuyuan Cheng, A. Robert Calderbank, Guillermo Sapiro:
DCFNet: Deep Neural Network with Decomposed Convolutional Filters. ICML 2018: 4195-4204 - [c44]Andrew Hooper, Tim J. Wright, Karsten Spaans, John Elliott, Jonathan R. Weiss, Marco Bagnardi, Emma L. Hatton, Susanna K. Ebmeier, Matthew Gaddes, Qiang Qiu, Alistair McDougall, Richard J. Walters, Pablo J. González, Fabien Albino, Juliet Biggs:
Global Monitoring of Fault Zones and Volcanoes with Sentinel-1. IGARSS 2018: 1566-1568 - [i26]Qiang Qiu, Xiuyuan Cheng, A. Robert Calderbank, Guillermo Sapiro:
DCFNet: Deep Neural Network with Decomposed Convolutional Filters. CoRR abs/1802.04145 (2018) - [i25]Albert Gong, Qiang Qiu, Guillermo Sapiro:
Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification. CoRR abs/1803.05872 (2018) - [i24]Yanzhao Zhou, Yi Zhu, Qixiang Ye, Qiang Qiu, Jianbin Jiao:
Weakly Supervised Instance Segmentation using Class Peak Response. CoRR abs/1804.00880 (2018) - [i23]J. Matías Di Martino, Qiang Qiu, Trishul Nagenalli, Guillermo Sapiro:
Liveness Detection Using Implicit 3D Features. CoRR abs/1804.06702 (2018) - [i22]Xiuyuan Cheng, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro:
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks. CoRR abs/1805.06846 (2018) - [i21]Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies:
Stop memorizing: A data-dependent regularization framework for intrinsic pattern learning. CoRR abs/1805.07291 (2018) - [i20]Martín Bertrán, Natalia Martínez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Guillermo Sapiro:
Learning to Collaborate for User-Controlled Privacy. CoRR abs/1805.07410 (2018) - [i19]Ze Wang, Weiqiang Ren, Qiang Qiu:
LaneNet: Real-Time Lane Detection Networks for Autonomous Driving. CoRR abs/1807.01726 (2018) - [i18]Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao:
In Defense of Single-column Networks for Crowd Counting. CoRR abs/1808.06133 (2018) - 2017
- [c43]Qixiang Ye, Tianliang Zhang, Wei Ke, Qiang Qiu, Jie Chen, Guillermo Sapiro, Baochang Zhang:
Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model. CVPR 2017: 2057-2066 - [c42]Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao:
Oriented Response Networks. CVPR 2017: 4961-4970 - [c41]José Lezama, Qiang Qiu, Guillermo Sapiro:
Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding. CVPR 2017: 6807-6816 - [c40]Yonghao Song, Hengyi Cai, Xiaohui Zheng, Qiang Qiu, Yan Jin, Xiaofang Zhao:
FTGWS: Forming Optimal Tutor Group for Weak Students Discovered in Educational Settings. DEXA (1) 2017: 436-444 - [c39]Yi Zhu, Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao:
Soft Proposal Networks for Weakly Supervised Object Localization. ICCV 2017: 1859-1868 - [c38]Jure Sokolic, Miguel R. D. Rodrigues, Qiang Qiu, Guillermo Sapiro:
Learning to Identify While Failing to Discriminate. ICCV Workshops 2017: 2537-2544 - [c37]Qiang Qiu, Jordan Hashemi, Guillermo Sapiro:
Intelligent Synthesis Driven Model Calibration: Framework and Face Recognition Application. ICCV Workshops 2017: 2564-2572 - [c36]Zhuojian Xiao, Qiang Qiu, Jinyun Fang, Shaolong Cui:
A vector map overlay algorithm based on distributed queue. IGARSS 2017: 6098-6101 - [c35]Qiang Qiu, Zhuojian Xiao, Jinyun Fang:
A memory computing based method for vector spatial analysis. IGARSS 2017: 6102-6105 - [i17]Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao:
Oriented Response Networks. CoRR abs/1701.01833 (2017) - [i16]Jure Sokolic, Qiang Qiu, Miguel R. D. Rodrigues, Guillermo Sapiro:
Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems. CoRR abs/1705.08197 (2017) - [i15]Yi Zhu, Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao:
Soft Proposal Networks for Weakly Supervised Object Localization. CoRR abs/1709.01829 (2017) - [i14]Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies:
LDMNet: Low Dimensional Manifold Regularized Neural Networks. CoRR abs/1711.06246 (2017) - [i13]Qiang Qiu, José Lezama, Alexander M. Bronstein, Guillermo Sapiro:
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks. CoRR abs/1711.08364 (2017) - [i12]José Lezama, Qiang Qiu, Pablo Musé, Guillermo Sapiro:
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning. CoRR abs/1712.01727 (2017) - 2016
- [j11]Qiang Qiu, Zhuoqing Chang, Mark Draelos, Jie Chen, Alexander M. Bronstein, Guillermo Sapiro:
Low-cost Gaze and Pulse Analysis using RealSense. EAI Endorsed Trans. Ambient Syst. 3(12): e1 (2016) - [j10]Wenshan Wang, Xiaoxiao Zhu, Liyu Wang, Qiang Qiu, Qixin Cao:
Ubiquitous Robotic Technology for Smart Manufacturing System. Comput. Intell. Neurosci. 2016: 6018686:1-6018686:14 (2016) - [j9]Jordan Hashemi, Kathleen Campbell, Kimberly L. H. Carpenter, Adrianne Harris, Qiang Qiu, Mariano Tepper, Steven Espinosa, Jana Schaich Borg, Samuel Marsan, A. Robert Calderbank, Jeffrey P. Baker, Helen Link Egger, Geraldine Dawson, Guillermo Sapiro:
A scalable app for measuring autism risk behaviors in young children: A technical validity and feasibility study. EAI Endorsed Trans. Scalable Inf. Syst. 3(10): e1 (2016) - [j8]Qiang Qiu, Andrew Thompson, A. Robert Calderbank, Guillermo Sapiro:
Data Representation Using the Weyl Transform. IEEE Trans. Signal Process. 64(7): 1844-1853 (2016) - [j7]Jiaji Huang, Qiang Qiu, A. Robert Calderbank:
The Role of Principal Angles in Subspace Classification. IEEE Trans. Signal Process. 64(8): 1933-1945 (2016) - [c34]Zhuoqing Chang, Qiang Qiu, Guillermo Sapiro:
Synthesis-Based Low-Cost Gaze Analysis. HCI (27) 2016: 95-100 - [c33]Wenshan Wang, Qixin Cao, Qiang Qiu, Gilbert K. Cheruiyot:
Online Adjusting Task Models for Ubiquitous Robotic Systems. IAS 2016: 1143-1154 - [c32]Jie Chen, Zhuoqing Chang, Qiang Qiu, Xiaobai Li, Guillermo Sapiro, Alexander M. Bronstein, Matti Pietikäinen:
RealSense = real heart rate: Illumination invariant heart rate estimation from videos. IPTA 2016: 1-6 - [i11]José Lezama, Qiang Qiu, Guillermo Sapiro:
Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-spectral Hallucination and Low-rank Embedding. CoRR abs/1611.06638 (2016) - [i10]Qixiang Ye, Tianliang Zhang, Qiang Qiu, Baochang Zhang, Jie Chen, Guillermo Sapiro:
Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model. CoRR abs/1611.07544 (2016) - 2015
- [j6]Qiang Qiu, Guillermo Sapiro:
Learning transformations for clustering and classification. J. Mach. Learn. Res. 16: 187-225 (2015) - [j5]Qiang Qiu, Rama Chellappa:
Compositional Dictionaries for Domain Adaptive Face Recognition. IEEE Trans. Image Process. 24(12): 5152-5165 (2015) - [c31]Qiang Qiu, Xiao Yao, Cuiting Chen, Yu Liu, Jinyun Fang:
A spatial data partitioning and merging method for parallel vector spatial analysis. Geoinformatics 2015: 1-5 - [c30]Yin Xian, Andrew Thompson, Qiang Qiu, Loren W. Nolte, Douglas Nowacek, Jianfeng Lu, A. Robert Calderbank:
Classification of whale vocalizations using the Weyl transform. ICASSP 2015: 773-777 - [c29]Jiaji Huang, Qiang Qiu, A. Robert Calderbank, Miguel R. D. Rodrigues, Guillermo Sapiro:
Alignment with intra-class structure can improve classification. ICASSP 2015: 1921-1925 - [c28]Jiaji Huang, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro:
Geometry-Aware Deep Transform. ICCV 2015: 4139-4147 - [c27]Mark Draelos, Qiang Qiu, Alexander M. Bronstein, Guillermo Sapiro:
Intel realsense = Real low cost gaze. ICIP 2015: 2520-2524 - [c26]Jordan Hashemi, Qiang Qiu, Guillermo Sapiro:
Cross-modality pose-invariant facial expression. ICIP 2015: 4007-4011 - [c25]Xiaomin Zhu, Jidong Huo, Qiang Qiu:
A novel methodology for parallel spatial overlay over vector data - A case study with shape file. IGARSS 2015: 4522-4525 - [c24]Xiao Yao, Qiang Qiu, Mengfei Zhang, Cuiting Chen, Jinyun Fang:
Research on vector spatial data access based on Main memory database. IGARSS 2015: 4704-4707 - [c23]Jiaji Huang, Qiang Qiu, Guillermo Sapiro, A. Robert Calderbank:
Discriminative Robust Transformation Learning. NIPS 2015: 1333-1341 - [c22]Qiang Qiu, Guillermo Sapiro, Alexander M. Bronstein:
Random Forests Can Hash. ICLR (Workshop) 2015 - [c21]Qiang Qiu, Andrew Thompson, A. Robert Calderbank, Guillermo Sapiro:
Representation using the Weyl Transform. ICLR (Workshop) 2015 - [i9]Jiaji Huang, Qiang Qiu, A. Robert Calderbank:
The Role of Principal Angles in Subspace Classification. CoRR abs/1507.04230 (2015) - [i8]Jiaji Huang, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro:
Geometry-aware Deep Transform. CoRR abs/1509.05360 (2015) - 2014
- [j4]Qiang Qiu, Vishal M. Patel, Rama Chellappa:
Information-Theoretic Dictionary Learning for Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 36(11): 2173-2184 (2014) - [j3]Sima Taheri, Qiang Qiu, Rama Chellappa:
Structure-Preserving Sparse Decomposition for Facial Expression Analysis. IEEE Trans. Image Process. 23(8): 3590-3603 (2014) - [c20]Qiang Qiu, Guillermo Sapiro:
Learning Transformations. ICIP 2014: 4008-4012 - [c19]Qiang Qiu, Guillermo Sapiro:
Learning compressed image classification features. ICIP 2014: 5761-5765 - [c18]Qiang Qiu, Guillermo Sapiro:
Learning Transformations for Classification Forests. ICLR 2014 - [p1]Qiang Qiu, Jie Ni, Rama Chellappa:
Dictionary-Based Domain Adaptation Methods for the Re-identification of Faces. Person Re-Identification 2014: 269-285 - 2013
- [c17]Jie Ni, Qiang Qiu, Rama Chellappa:
Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation. CVPR 2013: 692-699 - [c16]Fei He, Qiang Qiu, Jinyun Fang:
An effective method for river generalization. Geoinformatics 2013: 1-4 - [c15]Qiang Qiu, Man Yuan, Fei He, Jinyun Fang:
A parallel algorithm for line segment intersection. Geoinformatics 2013: 1-4 - [c14]Qiang Qiu, Xiaomin Zhu, Xiangzhen Yao, Jinyun Fang:
A parallel strategy for plane sweep algorithm in multi-core system. IGARSS 2013: 3642-3645 - [c13]Yanwei Zhao, Qiang Qiu, Jinyun Fang, Liang Li:
Fast parallel interpolation algorithm using CUDA. IGARSS 2013: 3662-3665 - [c12]Vishal M. Patel, Qiang Qiu, Rama Chellappa:
Dictionaries for image-based recognition. ITA 2013: 1-8 - [i7]Qiang Qiu, Rama Chellappa:
Compositional Dictionaries for Domain Adaptive Face Recognition. CoRR abs/1308.0271 (2013) - [i6]Qiang Qiu, Guillermo Sapiro:
Learning Robust Subspace Clustering. CoRR abs/1308.0273 (2013) - [i5]Qiang Qiu, Guillermo Sapiro, Ching-Hui Chen:
Domain-invariant Face Recognition using Learned Low-rank Transformation. CoRR abs/1308.0275 (2013) - [i4]Qiang Qiu, Zhuolin Jiang, Rama Chellappa:
Sparse Dictionary-based Attributes for Action Recognition and Summarization. CoRR abs/1308.0290 (2013) - [i3]Qiang Qiu, Guillermo Sapiro:
Learning Transformations for Clustering and Classification. CoRR abs/1309.2074 (2013) - 2012
- [b1]Qiang Qiu:
Sparse Dictionary Learning and Domain Adaptation for Face and Action Recognition. University of Maryland, College Park, MD, USA, 2012 - [c11]Qiang Qiu, Vishal M. Patel, Pavan K. Turaga, Rama Chellappa:
Domain Adaptive Dictionary Learning. ECCV (4) 2012: 631-645 - [i2]Qiang Qiu, Vishal M. Patel, Rama Chellappa:
Information-theoretic Dictionary Learning for Image Classification. CoRR abs/1208.3687 (2012) - [i1]Qiang Qiu, Rama Chellappa:
A Unified Approach for Modeling and Recognition of Individual Actions and Group Activities. CoRR abs/1208.4398 (2012) - 2011
- [c10]Qiang Qiu, Zhuolin Jiang, Rama Chellappa:
Sparse dictionary-based representation and recognition of action attributes. ICCV 2011: 707-714
2000 – 2009
- 2009
- [c9]Wei Qu, Yang Zhang, Junping Zhu, Qiang Qiu:
Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble. ACML 2009: 308-321 - [c8]Qiang Qiu, Yang Zhang, Junping Zhu, Wei Qu:
Building a Text Classifier by a Keyword and Wikipedia Knowledge. ADMA 2009: 277-287 - [c7]Qiang Qiu, Yang Zhang, Junping Zhu:
Building a Text Classifier by a Keyword and Unlabeled Documents. PAKDD 2009: 564-571 - 2007
- [j2]Viet Thang Pham, Qiang Qiu, Aung Aung Phyo Wai, Jit Biswas:
Application of ultrasonic sensors in a smart environment. Pervasive Mob. Comput. 3(2): 180-207 (2007) - [c6]Qiang Qiu, Foo Siang Fook, Aung Aung Phyo Wai, Viet Thang Pham, Maniyeri Jayachandran, Jit Biswas, Philip Lin Kiat Yap:
Multimodal information fusion for automated recognition of complex agitation behaviors of dementia patients. FUSION 2007: 1-8 - 2006
- [j1]Luying Zhou, Teck Yoong Chai, Chava Vijaya Saradhi, Yixin Wang, Victor Foo Siang Fook, Qiang Qiu, Jit Biswas, Chao Lu:
WDM optical network testbed and distributed storage application. IEEE Commun. Mag. 44(2): 23-29 (2006) - [c5]Jit Biswas, Felix Naumann, Qiang Qiu:
Assessing the Completeness of Sensor Data. DASFAA 2006: 717-732 - [c4]Jit Biswas, Victor Foo Siang Fook, Qiang Qiu, Maniyeri Jayachandran, Aung Aung Phyo Wai, Viet Thang Pham, That Mon Htwe:
Data Collection and Feature Extraction for a Smart Ward Application. ETFA 2006: 110-115 - [c3]Victor Foo Siang Fook, Qiang Qiu, Jit Biswas, Aung Aung Phyo Wai:
Fusion Considerations in Monitoring and Handling Agitation Behaviour for Persons with Dementia. FUSION 2006: 1-7 - 2002
- [c2]Qiu Qiang, Lillykutty Jacob, R. Radhakrishna Pillai, Balakrishnan Prabhakaran:
MAC protocol enhancements for QoS guarantee and fairness over the IEEE 802.11 wireless LANs. ICCCN 2002: 628-633 - 2000
- [c1]R. Radhakrishna Pillai, Balakrishnan Prabhakaran, Qiu Qiang:
A forward error recovery technique for real-time MPEG-2 video transport and its performance over wireless IEEE 802.11 LAN. ICCCN 2000: 497-502
Coauthor Index
[c94] [j26] [j21] [j19] [c75] [c71] [j17] [c65] [c64] [i40] [i36] [i34] [i33] [j14] [c58] [c57] [c56] [c55] [i31] [i30] [i29] [i28] [i27] [j12] [c52] [c50] [c49] [c48] [c45] [i26] [i25] [i23] [i22] [i21] [i20] [c43] [c41] [c38] [c37] [i16] [i14] [i13] [i12] [j11] [j9] [j8] [c34] [c32] [i11] [i10] [j6] [c29] [c28] [c27] [c26] [c23] [c22] [c21] [i8] [c20] [c19] [c18] [i6] [i5] [i3]
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