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Haoxiang Li
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2020 – today
- 2024
- [j11]Gongyu Hou, Haoxiang Li, Qinhuang Chen, Yaohua Shao, Dandan Wang:
Optimize the Activity-on-Arc Network Planning Through the Structure Matrix and Genetic Algorithm. IEEE Access 12: 143733-143744 (2024) - [j10]Haoxiang Li, Wenjing Zhang, Jianmin Zheng, Edward Dale Davis, Jun Zeng:
Optimizing heterogeneous elastic material distributions on 3D models. Comput. Aided Des. 175: 103748 (2024) - [j9]Zhishuo Liu, Lujing Sun, Xingquan Zuo, Haoxiang Li:
Heterogeneous Electric Vehicle Routing Problem with Multiple Compartments and Multiple Trips for the Collection of Classified Waste. Int. J. Crowd Sci. 8(3): 130-139 (2024) - [j8]Haoxiang Li, Qian Qin, Galin L. Jones:
Convergence analysis of data augmentation algorithms for Bayesian robust multivariate linear regression with incomplete data. J. Multivar. Anal. 202: 105296 (2024) - [j7]Fengqi Guo, Jingping Zhu, Liqing Huang, Feng Li, Ning Zhang, Jinxin Deng, Haoxiang Li, Xiangzhe Zhang, Yuanchen Zhao, Huilin Jiang, Xun Hou:
Multi-Dimensional Fusion of Spectral and Polarimetric Images Followed by Pseudo-Color Algorithm Integration and Mapping in HSI Space. Remote. Sens. 16(7): 1119 (2024) - [c29]Siwei Li, Mingxuan Liu, Yating Zhang, Shu Chen, Haoxiang Li, Zifei Dou, Hong Chen:
SAM-DEBLUR: Let Segment Anything Boost Image Deblurring. ICASSP 2024: 2445-2449 - [c28]Liyan Chen, Yan Zheng, Yang Li, Lohit Anirudh Jagarapu, Haoxiang Li, Hao Kang, Gang Hua, Qixing Huang:
Enhancing Implicit Shape Generators Using Topological Regularizations. ICML 2024 - [i31]Mingxuan Liu, Jiankai Tang, Haoxiang Li, Jiahao Qi, Siwei Li, Kegang Wang, Yuntao Wang, Hong Chen:
Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer. CoRR abs/2402.04798 (2024) - [i30]Mo Zhou, Yiding Yang, Haoxiang Li, Vishal M. Patel, Gang Hua:
Deployment Prior Injection for Run-time Calibratable Object Detection. CoRR abs/2402.17207 (2024) - [i29]Hongjia Yang, Guanhua Wang, Ziyu Li, Haoxiang Li, Jialan Zheng, Yuxin Hu, Xiaozhi Cao, Congyu Liao, Huihui Ye, Qiyuan Tian:
Artificial Intelligence for Neuro MRI Acquisition: A Review. CoRR abs/2406.05982 (2024) - [i28]Ziyu Li, Zihan Li, Haoxiang Li, Qiuyun Fan, Karla L. Miller, Wenchuan Wu, Akshay S. Chaudhari, Qiyuan Tian:
Enhance the Image: Super Resolution using Artificial Intelligence in MRI. CoRR abs/2406.13625 (2024) - [i27]Biqing Qi, Kaiyan Zhang, Kai Tian, Haoxiang Li, Zhang-Ren Chen, Sihang Zeng, Ermo Hua, Jinfang Hu, Bowen Zhou:
Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation. CoRR abs/2407.08940 (2024) - [i26]Zheng Chong, Xiao Dong, Haoxiang Li, Shiyue Zhang, Wenqing Zhang, Xujie Zhang, Hanqing Zhao, Xiaodan Liang:
CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models. CoRR abs/2407.15886 (2024) - 2023
- [j6]Mohammed Kutbi, Haoxiang Li, Yizhe Chang, Bo Sun, Xin Li, Changjiang Cai, Nikolaos Agadakos, Gang Hua, Philippos Mordohai:
Egocentric Computer Vision for Hands-Free Robotic Wheelchair Navigation. J. Intell. Robotic Syst. 107(1): 10 (2023) - [j5]Ting Li, Qinghe Song, Guangjun He, Haiting Xia, Haoxiang Li, Jinbin Gui, Haining Dang:
A Method for Detecting the Vacuum Degree of Vacuum Glass Based on Digital Holography. Sensors 23(5): 2468 (2023) - [j4]Dapeng Chu, Yong Mao, Haoxiang Li, Hong Bie, Yongjin Zhou:
Dual-Polarized Multi-Beam Fixed-Frequency Beam Scanning Leaky-Wave Antenna. Sensors 23(11): 5070 (2023) - [c27]Kumara Kahatapitiya, Zhou Ren, Haoxiang Li, Zhenyu Wu, Michael S. Ryoo, Gang Hua:
Weakly-Guided Self-Supervised Pretraining for Temporal Activity Detection. AAAI 2023: 1078-1086 - [c26]Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, Humphrey Shi:
Boosted Dynamic Neural Networks. AAAI 2023: 10989-10997 - [c25]Zefang Zong, Huan Yan, Hongjie Sui, Haoxiang Li, Peiqi Jiang, Yong Li:
An AI-based Simulation and Optimization Framework for Logistic Systems. CIKM 2023: 5138-5142 - [c24]Lei Fan, Bo Liu, Haoxiang Li, Ying Wu, Gang Hua:
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance. ICCV 2023: 1338-1347 - [c23]Siming Yan, Zhenpei Yang, Haoxiang Li, Chen Song, Li Guan, Hao Kang, Gang Hua, Qixing Huang:
Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning. ICCV 2023: 14484-14496 - [i25]Siwei Li, Mingxuan Liu, Yating Zhang, Shu Chen, Haoxiang Li, Hong Chen, Zifei Dou:
SAM-Deblur: Let Segment Anything Boost Image Deblurring. CoRR abs/2309.02270 (2023) - [i24]Lei Fan, Bo Liu, Haoxiang Li, Ying Wu, Gang Hua:
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance. CoRR abs/2309.07403 (2023) - [i23]Biqing Qi, Kaiyan Zhang, Haoxiang Li, Kai Tian, Sihang Zeng, Zhang-Ren Chen, Bowen Zhou:
Large Language Models are Zero Shot Hypothesis Proposers. CoRR abs/2311.05965 (2023) - [i22]Jiaxin Lu, Hao Kang, Haoxiang Li, Bo Liu, Yiding Yang, Qixing Huang, Gang Hua:
UGG: Unified Generative Grasping. CoRR abs/2311.16917 (2023) - 2022
- [c22]Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos:
Breadcrumbs: Adversarial Class-Balanced Sampling for Long-Tailed Recognition. ECCV (24) 2022: 637-653 - [i21]Siming Yan, Zhenpei Yang, Haoxiang Li, Li Guan, Hao Kang, Gang Hua, Qixing Huang:
Implicit Autoencoder for Point Cloud Self-supervised Representation Learning. CoRR abs/2201.00785 (2022) - [i20]Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, Humphrey Shi:
Boosted Dynamic Neural Networks. CoRR abs/2211.16726 (2022) - [i19]Xiangyu Xu, Li Guan, Enrique Dunn, Haoxiang Li, Guang Hua:
DDM-NET: End-to-end learning of keypoint feature Detection, Description and Matching for 3D localization. CoRR abs/2212.04575 (2022) - 2021
- [j3]Mohammed Kutbi, Xiaoxue Du, Yizhe Chang, Bo Sun, Nikolaos Agadakos, Haoxiang Li, Gang Hua, Philippos Mordohai:
Usability Studies of an Egocentric Vision-Based Robotic Wheelchair. ACM Trans. Hum. Robot Interact. 10(1): 4:1-4:23 (2021) - [c21]Haichao Yu, Haoxiang Li, Humphrey Shi, Thomas S. Huang, Gang Hua:
Any-Precision Deep Neural Networks. AAAI 2021: 10763-10771 - [c20]Yiding Yang, Zhou Ren, Haoxiang Li, Chunluan Zhou, Xinchao Wang, Gang Hua:
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking. CVPR 2021: 8074-8084 - [c19]Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos:
GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition. ICCV 2021: 8189-8198 - [i18]Wei Wei, Li Guan, Yue Liu, Hao Kang, Haoxiang Li, Ying Wu, Gang Hua:
Beyond Visual Attractiveness: Physically Plausible Single Image HDR Reconstruction for Spherical Panoramas. CoRR abs/2103.12926 (2021) - [i17]Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos:
Breadcrumbs: Adversarial Class-Balanced Sampling for Long-tailed Recognition. CoRR abs/2105.00127 (2021) - [i16]Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos:
GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition. CoRR abs/2105.00131 (2021) - [i15]Bo Liu, Haoxiang Li, Hao Kang, Nuno Vasconcelos, Gang Hua:
Semi-supervised Long-tailed Recognition using Alternate Sampling. CoRR abs/2105.00133 (2021) - [i14]Yiding Yang, Zhou Ren, Haoxiang Li, Chunluan Zhou, Xinchao Wang, Gang Hua:
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking. CoRR abs/2106.03772 (2021) - [i13]Kumara Kahatapitiya, Zhou Ren, Haoxiang Li, Zhenyu Wu, Michael S. Ryoo:
Self-supervised Pretraining with Classification Labels for Temporal Activity Detection. CoRR abs/2111.13675 (2021) - [i12]Yanjie Zhu, Haoxiang Li, Yuanyuan Liu, Muzi Guo, Guanxun Cheng, Gang Yang, Haifeng Wang, Dong Liang:
Highly accelerated MR parametric mapping by undersampling the k-space and reducing the contrast number simultaneously with deep learning. CoRR abs/2112.00730 (2021) - 2020
- [c18]Bo Liu, Hao Kang, Haoxiang Li, Gang Hua, Nuno Vasconcelos:
Few-Shot Open-Set Recognition Using Meta-Learning. CVPR 2020: 8795-8804 - [i11]Bo Liu, Hao Kang, Haoxiang Li, Gang Hua, Nuno Vasconcelos:
Few-Shot Open-Set Recognition using Meta-Learning. CoRR abs/2005.13713 (2020)
2010 – 2019
- 2019
- [c17]Bangjie Yin, Luan Tran, Haoxiang Li, Xiaohui Shen, Xiaoming Liu:
Towards Interpretable Face Recognition. ICCV 2019: 9347-9356 - [i10]Yinan Zhang, Devin J. Balkcom, Haoxiang Li:
Towards Physically Safe Reinforcement Learning under Supervision. CoRR abs/1901.06576 (2019) - [i9]Haichao Yu, Haoxiang Li, Honghui Shi, Thomas S. Huang, Gang Hua:
Any-Precision Deep Neural Networks. CoRR abs/1911.07346 (2019) - [i8]Hao Kang, Jianming Zhang, Haoxiang Li, Zhe Lin, T. J. Rhodes, Bedrich Benes:
LeRoP: A Learning-Based Modular Robot Photography Framework. CoRR abs/1911.12470 (2019) - 2018
- [j2]Haoxiang Li, Gang Hua:
Probabilistic Elastic Part Model: A Pose-Invariant Representation for Real-World Face Verification. IEEE Trans. Pattern Anal. Mach. Intell. 40(4): 918-930 (2018) - [j1]Hao Kang, Haoxiang Li, Jianming Zhang, Xin Lu, Bedrich Benes:
FlyCam: Multitouch Gesture Controlled Drone Gimbal Photography. IEEE Robotics Autom. Lett. 3(4): 3717-3724 (2018) - [c16]Muhammad Abdullah Jamal, Haoxiang Li, Boqing Gong:
Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting. CVPR 2018: 5608-5618 - [c15]Xiangyun Zhao, Haoxiang Li, Xiaohui Shen, Xiaodan Liang, Ying Wu:
A Modulation Module for Multi-task Learning with Applications in Image Retrieval. ECCV (1) 2018: 415-432 - [c14]Rameswar Panda, Jianming Zhang, Haoxiang Li, Joon-Young Lee, Xin Lu, Amit K. Roy-Chowdhury:
Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias. ECCV (2) 2018: 594-612 - [c13]Xin Ye, Zhe Lin, Haoxiang Li, Shibin Zheng, Yezhou Yang:
Active Object Perceiver: Recognition-Guided Policy Learning for Object Searching on Mobile Robots. IROS 2018: 6857-6863 - [i7]Kaichun Mo, Haoxiang Li, Zhe Lin, Joon-Young Lee:
The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based Real-world Indoor Robot Visual Navigation. CoRR abs/1802.08824 (2018) - [i6]Bangjie Yin, Luan Tran, Haoxiang Li, Xiaohui Shen, Xiaoming Liu:
Towards Interpretable Face Recognition. CoRR abs/1805.00611 (2018) - [i5]Xiangyun Zhao, Haoxiang Li, Xiaohui Shen, Xiaodan Liang, Ying Wu:
A Modulation Module for Multi-task Learning with Applications in Image Retrieval. CoRR abs/1807.06708 (2018) - [i4]Xin Ye, Zhe Lin, Haoxiang Li, Shibin Zheng, Yezhou Yang:
Active Object Perceiver: Recognition-guided Policy Learning for Object Searching on Mobile Robots. CoRR abs/1807.11174 (2018) - [i3]Rameswar Panda, Jianming Zhang, Haoxiang Li, Joon-Young Lee, Xin Lu, Amit K. Roy-Chowdhury:
Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias. CoRR abs/1808.02212 (2018) - 2017
- [c12]Chuang Gan, Yandong Li, Haoxiang Li, Chen Sun, Boqing Gong:
VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation. ICCV 2017: 1829-1838 - [c11]Ronald Yu, Shunsuke Saito, Haoxiang Li, Duygu Ceylan, Hao Li:
Learning Dense Facial Correspondences in Unconstrained Images. ICCV 2017: 4733-4742 - [i2]Chuang Gan, Yandong Li, Haoxiang Li, Chen Sun, Boqing Gong:
VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation. CoRR abs/1708.04686 (2017) - [i1]Ronald Yu, Shunsuke Saito, Haoxiang Li, Duygu Ceylan, Hao Li:
Learning Dense Facial Correspondences in Unconstrained Images. CoRR abs/1709.00536 (2017) - 2016
- [c10]Haoxiang Li, Jonathan Brandt, Zhe Lin, Xiaohui Shen, Gang Hua:
A Multi-level Contextual Model for Person Recognition in Photo Albums. CVPR 2016: 1297-1305 - [c9]Haoxiang Li, Mohammed Kutbi, Xin Li, Changjiang Cai, Philippos Mordohai, Gang Hua:
An egocentric computer vision based co-robot wheelchair. IROS 2016: 1829-1836 - 2015
- [c8]Haoxiang Li, Gang Hua:
Hierarchical-PEP model for real-world face recognition. CVPR 2015: 4055-4064 - [c7]Haoxiang Li, Zhe Lin, Xiaohui Shen, Jonathan Brandt, Gang Hua:
A convolutional neural network cascade for face detection. CVPR 2015: 5325-5334 - [c6]J. Ross Beveridge, Hao Zhang, Bruce A. Draper, Patrick J. Flynn, Zhen-Hua Feng, Patrik Huber, Josef Kittler, Zhiwu Huang, Shaoxin Li, Yan Li, Meina Kan, Ruiping Wang, Shiguang Shan, Xilin Chen, Haoxiang Li, Gang Hua, Vitomir Struc, Janez Krizaj, Changxing Ding, Dacheng Tao, P. Jonathon Phillips:
Report on the FG 2015 Video Person Recognition Evaluation. FG 2015: 1-8 - 2014
- [c5]Haoxiang Li, Gang Hua, Xiaohui Shen, Zhe L. Lin, Jonathan Brandt:
Eigen-PEP for Video Face Recognition. ACCV (3) 2014: 17-33 - [c4]Haoxiang Li, Zhe Lin, Jonathan Brandt, Xiaohui Shen, Gang Hua:
Efficient Boosted Exemplar-Based Face Detection. CVPR 2014: 1843-1850 - [c3]J. Ross Beveridge, Hao Zhang, Patrick J. Flynn, Yooyoung Lee, Venice Erin Liong, Jiwen Lu, Marcus de Assis Angeloni, Tiago de Freitas Pereira, Haoxiang Li, Gang Hua, Vitomir Struc, Janez Krizaj, P. Jonathon Phillips:
The IJCB 2014 PaSC video face and person recognition competition. IJCB 2014: 1-8 - 2013
- [c2]Haoxiang Li, Gang Hua, Zhe Lin, Jonathan Brandt, Jianchao Yang:
Probabilistic Elastic Matching for Pose Variant Face Verification. CVPR 2013: 3499-3506 - [c1]Haoxiang Li, Gang Hua, Zhe Lin, Jonathan Brandt, Jianchao Yang:
Probabilistic Elastic Part Model for Unsupervised Face Detector Adaptation. ICCV 2013: 793-800
Coauthor Index
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last updated on 2024-10-23 20:30 CEST by the dblp team
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