ML Anthology

Li, Baoxin

46 publications

ICLR 2026 Enhancing Vision Transformers for Object Detection via Context-Aware Token Selection and Packing Tianyi Zhang, Baoxin Li, Jae-sun Seo, Yu Cao
WACV 2025 TFM^2: Training-Free Mask Matching for Open-Vocabulary Semantic Segmentation Yaoxin Zhuo, Zachary Bessinger, Lichen Wang, Naji Khosravan, Baoxin Li, Sing Bing Kang
WACV 2024 Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-Weighted Brain MR Images Md Mahfuzur Rahman Siddiquee, Jay Shah, Teresa Wu, Catherine Chong, Todd J. Schwedt, Gina Dumkrieger, Simona Nikolova, Baoxin Li
WACV 2024 FELGA: Unsupervised Fragment Embedding for Fine-Grained Cross-Modal Association Yaoxin Zhuo, Baoxin Li
WACV 2024 Graph(Graph): A Nested Graph-Based Framework for Early Accident Anticipation Nupur Thakur, PrasanthSai Gouripeddi, Baoxin Li
WACV 2024 Ordinal Classification with Distance Regularization for Robust Brain Age Prediction Jay Shah, Md Mahfuzur Rahman Siddiquee, Yi Su, Teresa Wu, Baoxin Li
WACV 2024 Patch-Based Selection and Refinement for Early Object Detection Tianyi Zhang, Kishore Kasichainula, Yaoxin Zhuo, Baoxin Li, Jae-Sun Seo, Yu Cao
AAAI 2024 Transformer-Based Selective Super-Resolution for Efficient Image Refinement Tianyi Zhang, Kishore Kasichainula, Yaoxin Zhuo, Baoxin Li, Jae-Sun Seo, Yu Cao
WACV 2023 Generative Alignment of Posterior Probabilities for Source-Free Domain Adaptation Sachin Chhabra, Hemanth Venkateswara, Baoxin Li
CVPRW 2022 PAT: Pseudo-Adversarial Training for Detecting Adversarial Videos Nupur Thakur, Baoxin Li
ICCVW 2021 AdvFoolGen: Creating Persistent Troubles for Deep Classifiers Yuzhen Ding, Nupur Thakur, Baoxin Li
ICML 2021 Deep Latent Graph Matching Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li
ICLR 2020 Deep Learning of Determinantal Point Processes via Proper Spectral Sub-Gradient Tianshu Yu, Yikang Li, Baoxin Li
CVPR 2020 Determinant Regularization for Gradient-Efficient Graph Matching Tianshu Yu, Junchi Yan, Baoxin Li
ICLR 2020 Improving Batch Normalization with Skewness Reduction for Deep Neural Networks Pak Lun Kevin Ding, Sarah Martin, Baoxin Li
ICLR 2020 Learning Deep Graph Matching with Channel-Independent Embedding and Hungarian Attention Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li
ECCV 2020 RhyRNN: Rhythmic RNN for Recognizing Events in Long and Complex Videos Tianshu Yu, Yikang Li, Baoxin Li
WACV 2019 Improving Robustness of Random Forest Under Label Noise Xu Zhou, Pak Lun Kevin Ding, Baoxin Li
CVPR 2019 Weakly Supervised Deep Image Hashing Through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
NeurIPS 2018 Generalizing Graph Matching Beyond Quadratic Assignment Model Tianshu Yu, Junchi Yan, Yilin Wang, Wei Liu, Baoxin Li
ECCV 2018 Incremental Multi-Graph Matching via Diversity and Randomness Based Graph Clustering Tianshu Yu, Junchi Yan, Wei Liu, Baoxin Li
CVPR 2018 Joint Cuts and Matching of Partitions in One Graph Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li
WACV 2018 Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network Yilin Wang, Suhang Wang, Guojun Qi, Jiliang Tang, Baoxin Li
AAAI 2017 CLARE: A Joint Approach to Label Classification and Tag Recommendation Yilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li
WACV 2017 Joint Regression and Ranking for Image Enhancement Parag Shridhar Chandakkar, Baoxin Li
WACV 2016 A Structured Approach to Predicting Image Enhancement Parameters Parag Shridhar Chandakkar, Baoxin Li
IJCAI 2016 Clustering-Based Joint Feature Selection for Semantic Attribute Prediction Lin Chen, Baoxin Li
WACV 2016 Efficient Unsupervised Abnormal Crowd Activity Detection Based on a Spatiotemporal Saliency Detector Yilin Wang, Qiang Zhang, Baoxin Li
CVPR 2016 PPP: Joint Pointwise and Pairwise Image Label Prediction Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li
WACV 2016 Simultaneous Semantic Segmentation of a Set of Partially Labeled Images Qiongjie Tian, Baoxin Li
WACV 2015 Improving Vision-Based Self-Positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection Parag S. Chandakkar, Yilin Wang, Baoxin Li
ICCV 2015 Simpler Non-Parametric Methods Provide as Good or Better Results to Multiple-Instance Learning Ragav Venkatesan, Parag Chandakkar, Baoxin Li
IJCAI 2015 Unsupervised Sentiment Analysis for Social Media Images Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li
CVPR 2014 Predicting Multiple Attributes via Relative Multi-Task Learning Lin Chen, Qiang Zhang, Baoxin Li
CVPR 2013 Relative Hidden Markov Models for Evaluating Motion Skill Qiang Zhang, Baoxin Li
CVPR 2011 Discriminative Affine Sparse Codes for Image Classification Naveen Kulkarni, Baoxin Li
CVPR 2010 Discriminative K-SVD for Dictionary Learning in Face Recognition Qiang Zhang, Baoxin Li
CVPRW 2010 Synthesis of Stereoscopic Views from Monocular Endoscopic Videos Jin Zhou, Qiang Zhang, Baoxin Li, Ananya Das
CVPR 2010 YouTubeCat: Learning to Categorize Wild Web Videos Zheshen Wang, Ming Zhao, Yang Song, Sanjiv Kumar, Baoxin Li
CVPR 2009 A Compressive Sensing Approach for Expression-Invariant Face Recognition Pradeep Nagesh, Baoxin Li
IJCAI 2009 Human Activity Encoding and Recognition Using Low-Level Visual Features Zheshen Wang, Baoxin Li
CVPR 2008 Bayesian Tactile Face Zheshen Wang, Xinyu Xu, Baoxin Li
CVPRW 2008 Circular Generalized Cylinder Fitting for 3D Reconstruction in Endoscopic Imaging Based on MRF Jin Zhou, Ananya Das, Feng Li, Baoxin Li
CVPR 2008 Joint Conditional Random Field of Multiple Views with Online Learning for Image-Based Rendering Wenfeng Li, Baoxin Li
ICCV 2007 Learning Motion Correlation for Tracking Articulated Human Body with a Rao-Blackwellised Particle Filter Xinyu Xu, Baoxin Li
CVPR 2000 Simultaneous Tracking and Verification via Sequential Posterior Estimation Baoxin Li, Rama Chellappa