Baoxin Li

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 124

Top Venues

Publications

Jay Shah, Md Mahfuzur Rahman Siddiquee, Yi Su, Teresa Wu, Baoxin Li
Ordinal Classification with Distance Regularization for Robust Brain Age Prediction. CoRR (2024)
Tianyi Zhang, Kishore Kasichainula, Yaoxin Zhuo, Baoxin Li, Jae-Sun Seo, Yu Cao
Patch-based Selection and Refinement for Early Object Detection. WACV (2024)
Nupur Thakur, PrasanthSai Gouripeddi, Baoxin Li
Graph(Graph): A Nested Graph-Based Framework for Early Accident Anticipation. WACV (2024)
Tianyi Zhang, Kishore Kasichainula, Yaoxin Zhuo, Baoxin Li, Jae-Sun Seo, Yu Cao
Transformer-Based Selective Super-resolution for Efficient Image Refinement. AAAI (2024)
Riti Paul, Sahil Vora, Pak Lun Kevin Ding, Ameet Patel, Leland Hu, Baoxin Li, Yuxiang Zhou
Transferable Variational Feedback Network for Vendor Generalization in Accelerated MRI. AIiH (2) (2024)
Jay Shah, Md Mahfuzur Rahman Siddiquee, Yi Su, Teresa Wu, Baoxin Li
Ordinal Classification with Distance Regularization for Robust Brain Age Prediction. WACV (2024)
Mingyang Ling, Kan Chang, Mengyuan Huang, Hengxin Li, Shuping Dang, Baoxin Li
PRNet: Pyramid Restoration Network for RAW Image Super-Resolution. IEEE Trans. Computational Imaging 10 (2024)
Sachin Chhabra, Hemanth Venkateswara, Baoxin Li
Domain Adaptation Using Pseudo Labels. CoRR (2024)
Yaoxin Zhuo, Baoxin Li
FELGA: Unsupervised Fragment Embedding for Fine-Grained Cross-Modal Association. WACV (2024)
Yuzhen Ding, Jason M. Holmes, Hongying Feng, Baoxin Li, Lisa A. McGee, Jean-Claude M. Rwigema, Sujay A. Vora, Daniel J. Ma, Robert L. Foote, Samir H. Patel, Wei Liu
Accurate Patient Alignment without Unnecessary Imaging Dose via Synthesizing Patient-specific 3D CT Images from 2D kV Images. CoRR (2024)
Md Mahfuzur Rahman Siddiquee, Jay Shah, Teresa Wu, Catherine D. Chong, Todd J. Schwedt, Gina Dumkrieger, Simona Nikolova, Baoxin Li
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images. WACV (2024)
Riti Paul, Sahil Vora, Baoxin Li
Instance Adaptive Prototypical Contrastive Embedding for Generalized Zero Shot Learning. CoRR (2023)
Yuzhen Ding, Hongying Feng, Yunze Yang, Jason Holmes, Zhengliang Liu, David Liu, William W. Wong, Nathan Y. Yu, Terence T. Sio, Steven E. Schild, Baoxin Li, Wei Liu
Deep-Learning-based Fast and Accurate 3D CT Deformable Image Registration in Lung Cancer. CoRR (2023)
Tianyi Zhang, Kishore Kasichainula, Yaoxin Zhuo, Baoxin Li, Jae-sun Seo, Yu Cao
Transformer-based Selective Super-Resolution for Efficient Image Refinement. CoRR (2023)
Tianyi Zhang, Kishore Kasichainula, Yaoxin Zhuo, Baoxin Li, Jae-Sun Seo, Yu Cao
Patch-based Selection and Refinement for Early Object Detection. CoRR (2023)
Tianyi Zhang, Kishore Kasichainula, Dong-Woo Jee, Injune Yeo, Yaoxin Zhuo, Baoxin Li, Jae-sun Seo, Yu Cao
Improving the Efficiency of CMOS Image Sensors through In-Sensor Selective Attention. ISCAS (2023)
Yahui Tang, Kan Chang, Mengyuan Huang, Baoxin Li
BMISP: Bidirectional mapping of image signal processing pipeline. Signal Process. 212 (2023)
Md Mahfuzur Rahman Siddiquee, Jay Shah, Teresa Wu, Catherine D. Chong, Todd J. Schwedt, Gina Dumkrieger, Simona Nikolova, Baoxin Li
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images. CoRR (2023)
Sachin Chhabra, Hemanth Venkateswara, Baoxin Li
Generative Alignment of Posterior Probabilities for Source-free Domain Adaptation. WACV (2023)
Yuanzhong Liu, Zhigang Tu, Hongyan Li, Chi Chen, Baoxin Li, Junsong Yuan
Slow-Fast Visual Tempo Learning for Video-based Action Recognition. CoRR (2022)
Wei He, Qiping Zhou, Xinyi Zhang, Yuan Zhao, Baoxin Li, Li Zhang
Research on direction finding of UAV coherent signals based on uniform circular array. CIS (2022)
Yujie Chen, Zexi Hua, Yongchuan Tang, Baoxin Li
Multi-Source Information Fusion Based on Negation of Reconstructed Basic Probability Assignment with Padded Gaussian Distribution and Belief Entropy. Entropy 24 (8) (2022)
Yaoxin Zhuo, Yikang Li, Jenhao Hsiao, Chiuman Ho, Baoxin Li
CLIP4Hashing: Unsupervised Deep Hashing for Cross-Modal Video-Text Retrieval. ICMR (2022)
Kan Chang, Hengxin Li, Yufei Tan, Pak Lun Kevin Ding, Baoxin Li
A Two-Stage Convolutional Neural Network for Joint Demosaicking and Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 32 (7) (2022)
Zhigang Tu, Hongyan Li, Wei Xie, Yuanzhong Liu, Shifu Zhang, Baoxin Li, Junsong Yuan
Optical flow for video super-resolution: a survey. Artif. Intell. Rev. 55 (8) (2022)
Ujun Jeong, Zeyad Alghamdi, Kaize Ding, Lu Cheng, Baoxin Li, Huan Liu
Classifying COVID-19 Related Meta Ads Using Discourse Representation Through a Hypergraph. SBP-BRiMS (2022)
Sachin Chhabra, Hemanth Venkateswara, Baoxin Li
PatchSwap: A Regularization Technique for Vision Transformers. BMVC (2022)
Md Mahfuzur Rahman Siddiquee, Jay Shah, Teresa Wu, Catherine D. Chong, Todd J. Schwedt, Baoxin Li
HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease. SASHIMI@MICCAI (2022)
Sachin Chhabra, Prabal Bijoy Dutta, Hemanth Venkateswara, Baoxin Li
PatchRot: A Self-Supervised Technique for Training Vision Transformers. CoRR (2022)
Bohan Jiang, Paras Sheth, Baoxin Li, Huan Liu
CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine Hesitancy Research. CoRR (2022)
Zhigang Tu, Hongyan Li, Wei Xie, Yuanzhong Liu, Shifu Zhang, Baoxin Li, Junsong Yuan
Optical Flow for Video Super-Resolution: A Survey. CoRR (2022)
Md Mahfuzur Rahman Siddiquee, Jay Shah, Teresa Wu, Catherine D. Chong, Todd J. Schwedt, Baoxin Li
HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease. CoRR (2022)
Nayoung Kim, Ahmadreza Mosallanezhad, Lu Cheng, Baoxin Li, Huan Li
Bridging the Gap: Commonality and Differences between Online and Offline COVID-19 Data. CoRR (2022)
Nupur Thakur, Baoxin Li
PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos. CVPR Workshops (2022)
Yuzhen Ding, Nupur Thakur, Baoxin Li
Does a GAN leave distinct model-specific fingerprints? BMVC (2021)
Jiuxu Chen, Jorge E. Caviedes, Baoxin Li
Classification of Single-Axis Spinal Motion Using a Wearable System of Stretch Sensors for At-home Physical Therapy. EMBC (2021)
Sandipan Choudhuri, Riti Paul, Arunabha Sen, Baoxin Li, Hemanth Venkateswara
Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation. CoRR (2021)
Sachin Chhabra, Hemanth Venkateswara, Baoxin Li
Iterative Image Translation for Unsupervised Domain Adaptation. MULL @ ACM Multimedia (2021)
Yuzhen Ding, Nupur Thakur, Baoxin Li
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers. ICCVW (2021)
Yaoxin Zhuo, Baoxin Li
FedNS: Improving Federated Learning for collaborative image classification on mobile clients. CoRR (2021)
Nupur Thakur, Baoxin Li
PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos. CoRR (2021)
Yaoxin Zhuo, Baoxin Li
Fedns: Improving Federated Learning for Collaborative Image Classification on Mobile Clients. ICME (2021)
Shail Dave, Riyadh Baghdadi, Tony Nowatzki, Sasikanth Avancha, Aviral Shrivastava, Baoxin Li
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights. Proc. IEEE 109 (10) (2021)
Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li
Deep Latent Graph Matching. ICML (2021)
Sachin Chhabra, Prabal Bijoy Dutta, Baoxin Li, Hemanth Venkateswara
Glocal Alignment for Unsupervised Domain Adaptation. MULL @ ACM Multimedia (2021)
Nupur Thakur, Yuzhen Ding, Baoxin Li
Evaluating a Simple Retraining Strategy as a Defense Against Adversarial Attacks. CoRR (2020)
Pak Lun Kevin Ding, Sarah Martin, Baoxin Li
Improving Batch Normalization with Skewness Reduction for Deep Neural Networks. ICPR (2020)
Kan Chang, Minghong Li, Pak Lun Kevin Ding, Baoxin Li
Accurate single image super-resolution using multi-path wide-activated residual network. Signal Process. 172 (2020)
Yuzhen Ding, Baoxin Li
VSEC-LDA: Boosting Topic Modeling with Embedded Vocabulary Selection. CoRR (2020)
Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li
Learning deep graph matching with channel-independent embedding and Hungarian attention. ICLR (2020)
Tianshu Yu, Yikang Li, Baoxin Li
RhyRNN: Rhythmic RNN for Recognizing Events in Long and Complex Videos. ECCV (10) (2020)
Pak Lun Kevin Ding, Zhiqiang Li, Yuxiang Zhou, Baoxin Li
Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition. CoRR (2020)
Shail Dave, Riyadh Baghdadi, Tony Nowatzki, Sasikanth Avancha, Aviral Shrivastava, Baoxin Li
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights. CoRR (2020)
Yikang Li, Tianshu Yu, Baoxin Li
Recognizing Video Events with Varying Rhythms. CoRR (2020)
Bulent Ayhan, Chiman Kwan, Bence Budavari, Jude Larkin, David Gribben, Baoxin Li
Video Activity Recognition With Varying Rhythms. IEEE Access 8 (2020)
Sandipan Choudhuri, Riti Paul, Arunabha Sen, Baoxin Li, Hemanth Venkateswara
Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation. ACSSC (2020)
Tianshu Yu, Yikang Li, Baoxin Li
Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient. ICLR (2020)
Liang Mi, Tianshu Yu, José Bento, Wen Zhang, Baoxin Li, Yalin Wang
Variational Wasserstein Barycenters for Geometric Clustering. CoRR (2020)
Yuzhen Ding, Nupur Thakur, Baoxin Li
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers. CoRR (2020)
Tianshu Yu, Junchi Yan, Baoxin Li
Determinant Regularization for Gradient-Efficient Graph Matching. CVPR (2020)
Jorge E. Caviedes, Baoxin Li, Varun C. Jammula
Wearable Sensor Array Design for Spine Posture Monitoring During Exercise Incorporating Biofeedback. IEEE Trans. Biomed. Eng. 67 (10) (2020)
Long Tian, Zhigang Tu, Dejun Zhang, Jun Liu, Baoxin Li, Junsong Yuan
Unsupervised Learning of Optical Flow With CNN-Based Non-Local Filtering. IEEE Trans. Image Process. 29 (2020)
Xu Zhou, Pak Lun Kevin Ding, Baoxin Li
Improving Robustness of Random Forest Under Label Noise. WACV (2019)
Zhigang Tu, Wei Xie, Justin Dauwels, Baoxin Li, Junsong Yuan
Semantic Cues Enhanced Multimodality Multistream CNN for Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 29 (5) (2019)
Pak Lun Kevin Ding, Zhiqiang Li, Yuxiang Zhou, Baoxin Li
Deep residual dense U-Net for resolution enhancement in accelerated MRI acquisition. Medical Imaging: Image Processing (2019)
Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
Weakly Supervised Deep Image Hashing Through Tag Embeddings. CVPR (2019)
Kan Chang, Xueyu Zhang, Pak Lun Kevin Ding, Baoxin Li
Data-adaptive low-rank modeling and external gradient prior for single image super-resolution. Signal Process. 161 (2019)
Guang Yang, Yaolong Zhao, Baoxin Li, Yuntao Ma, Ruren Li, Jiangbo Jing, Yuanyong Dian
Tree Species Classification by Employing Multiple Features Acquired from Integrated Sensors. J. Sensors 2019 (2019)
Yitao Chen, Kaiqi Zhao, Baoxin Li, Ming Zhao
Exploring the Use of Synthetic Gradients for Distributed Deep Learning across Cloud and Edge Resources. HotEdge (2019)
Zhigang Tu, Wei Xie, Dejun Zhang, Ronald Poppe, Remco C. Veltkamp, Baoxin Li, Junsong Yuan
A survey of variational and CNN-based optical flow techniques. Signal Process. Image Commun. 72 (2019)
Zhigang Tu, Hongyan Li, Dejun Zhang, Justin Dauwels, Baoxin Li, Junsong Yuan
Action-Stage Emphasized Spatiotemporal VLAD for Video Action Recognition. IEEE Trans. Image Process. 28 (6) (2019)
Kan Chang, Pak Lun Kevin Ding, Baoxin Li
Single Image Super Resolution Using Joint Regularization. IEEE Signal Process. Lett. 25 (4) (2018)
Vijetha Gattupalli, Baoxin Li
Unsupervised Deep Image Hashing through Tag Embeddings. CoRR (2018)
Tianshu Yu, Junchi Yan, Yilin Wang, Wei Liu, Baoxin Li
Generalizing Graph Matching beyond Quadratic Assignment Model. NeurIPS (2018)
Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li
Joint Cuts and Matching of Partitions in One Graph. CVPR (2018)
Yilin Wang, Suhang Wang, Guojun Qi, Jiliang Tang, Baoxin Li
Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network. WACV (2018)
Kan Chang, Pak Lun Kevin Ding, Baoxin Li
Single image super-resolution using collaborative representation and non-local self-similarity. Signal Process. 149 (2018)
Tianshu Yu, Junchi Yan, Wei Liu, Baoxin Li
Incremental Multi-graph Matching via Diversity and Randomness Based Graph Clustering. ECCV (13) (2018)
Yantian Zha, Yikang Li, Tianshu Yu, Subbarao Kambhampati, Baoxin Li
Plan-Recognition-Driven Attention Modeling for Visual Recognition. CoRR (2018)
Yantian Zha, Yikang Li, Sriram Gopalakrishnan, Baoxin Li, Subbarao Kambhampati
Recognizing Plans by Learning Embeddings from Observed Action Distributions. AAMAS (2018)
Yikang Li, Tianshu Yu, Baoxin Li
Simultaneous Event Localization and Recognition in Surveillance Video. AVSS (2018)
Yikang Li, Pak Lun Kevin Ding, Baoxin Li
Training Neural Networks by Using Power Linear Units (PoLUs). CoRR (2018)
Ragini Sharma, Saman Biookaghazadeh, Baoxin Li, Ming Zhao
Are Existing Knowledge Transfer Techniques Effective for Deep Learning with Edge Devices? EDGE (2018)
Pak Lun Kevin Ding, Yikang Li, Baoxin Li
Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval. CoRR (2018)
Zhigang Tu, Wei Xie, Qianqing Qin, Ronald Poppe, Remco C. Veltkamp, Baoxin Li, Junsong Yuan
Multi-stream CNN: Learning representations based on human-related regions for action recognition. Pattern Recognit. 79 (2018)
Parag S. Chandakkar, Baoxin Li
Joint Regression and Ranking for Image Enhancement. CoRR (2017)
Parag S. Chandakkar, Yikang Li, Pak Lun Kevin Ding, Baoxin Li
Strategies for Re-Training a Pruned Neural Network in an Edge Computing Paradigm. EDGE (2017)
Parag S. Chandakkar, Qiongjie Tian, Baoxin Li
Relative Learning from Web Images for Content-adaptive Enhancement. CoRR (2017)
Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li
Joint Cuts and Matching of Partitions in One Graph. CoRR (2017)
Lin Chen, Jiliang Tang, Baoxin Li
Embedded Supervised Feature Selection for Multi-class Data. SDM (2017)
Ragav Venkatesan, Hemanth Venkateswara, Sethuraman Panchanathan, Baoxin Li
A Strategy for an Uncompromising Incremental Learner. CoRR (2017)
Yilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li
CLARE: A Joint Approach to Label Classification and Tag Recommendation. AAAI (2017)
Pak Lun Kevin Ding, Baoxin Li, Kan Chang
Convex dictionary learning for single image super-resolution. ICIP (2017)
Parag S. Chandakkar, Baoxin Li
A Structured Approach to Predicting Image Enhancement Parameters. CoRR (2017)
Parag Shridhar Chandakkar, Baoxin Li
Joint Regression and Ranking for Image Enhancement. WACV (2017)
Xu Zhou, Pak Lun Kevin Ding, Baoxin Li
Non-negative dictionary learning with pairwise partial similarity constraint. ICME (2017)
Parag S. Chandakkar, Vijetha Gattupalli, Baoxin Li
A Computational Approach to Relative Aesthetics. CoRR (2017)
Yilin Wang, Jiliang Tang, Jundong Li, Baoxin Li, Yali Wan, Clayton Mellina, Neil O'Hare, Yi Chang
Understanding and Discovering Deliberate Self-harm Content in Social Media. WWW (2017)
Zhigang Tu, Zuwei Guo, Wei Xie, Mengjia Yan, Remco C. Veltkamp, Baoxin Li, Junsong Yuan
Fusing disparate object signatures for salient object detection in video. Pattern Recognit. 72 (2017)
Parag S. Chandakkar, Yilin Wang, Baoxin Li
Improving Vision-based Self-positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Baoxin Li