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ORCIDJianxin Wu 0001
Person information
- affiliation: Nanjing University, Department of Computer Science and Technology, National Key Laboratory for Novel Software Technology, Nanjing, China
- affiliation (PhD 2002): Georgia Institute of Technology, Atlanta, GA, USA
Other persons with the same name
- Jianxin Wu — disambiguation page
- Jianxin Wu 0002
![[0000-0001-6968-2861]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6968-2861")
— Sun Yat-sen University, School of Electronics and Communication Engineering, Guangzhou, China (and 1 more) - Jianxin Wu 0003 — Ocean University of China, College of Computer Science and Technology, Qingdao, China
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2020 – today
- 2025
[j57]Hao Yu, Yingxiao Du, Jianxin Wu:
Reviving undersampling for long-tailed learning. Pattern Recognit. 161: 111200 (2025)- 2024
- [j56]Yun-Hao Cao, Jianxin Wu:
Tobias: A Random CNN Sees Objects. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 1290-1304 (2024) - [j55]Guo-Hua Wang, Jianxin Wu:
Practical Network Acceleration With Tiny Sets: Hypothesis, Theory, and Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9272-9285 (2024) - [c79]Minghao Fu, Ke Zhu, Jianxin Wu:
DTL: Disentangled Transfer Learning for Visual Recognition. AAAI 2024: 12082-12090 - [c78]Ke Zhu, Minghao Fu, Jie Shao, Tianyu Liu, Jianxin Wu:
Rectify the Regression Bias in Long-Tailed Object Detection. ECCV (28) 2024: 198-214 - [c77]Hao Yu, Minghao Fu, Jiandong Ding, Yusheng Zhou, Jianxin Wu:
Unified Low-rank Compression Framework for Click-through Rate Prediction. KDD 2024: 6169-6180 - [i72]Ke Zhu, Minghao Fu, Jie Shao, Tianyu Liu, Jianxin Wu:
Rectify the Regression Bias in Long-Tailed Object Detection. CoRR abs/2401.15885 (2024) - [i71]Hao Yu, Yingxiao Du, Jianxin Wu:
Reviving Undersampling for Long-Tailed Learning. CoRR abs/2401.16811 (2024) - [i70]Ningyuan Tang, Minghao Fu, Ke Zhu, Jianxin Wu:
Low-rank Attention Side-Tuning for Parameter-Efficient Fine-Tuning. CoRR abs/2402.04009 (2024) - [i69]Jie Shao, Ke Zhu, Hanxiao Zhang, Jianxin Wu:
DiffuLT: How to Make Diffusion Model Useful for Long-tail Recognition. CoRR abs/2403.05170 (2024) - [i68]Yun-Hao Cao, Jianxin Wu:
On Improving the Algorithm-, Model-, and Data- Efficiency of Self-Supervised Learning. CoRR abs/2404.19289 (2024) - [i67]Hao Yu, Minghao Fu, Jiandong Ding, Yusheng Zhou, Jianxin Wu:
Unified Low-rank Compression Framework for Click-through Rate Prediction. CoRR abs/2405.18146 (2024) - [i66]Ningyuan Tang, Minghao Fu, Jianxin Wu:
Minimal Interaction Edge Tuning: A New Paradigm for Visual Adaptation. CoRR abs/2406.17559 (2024) - [i65]Minghao Fu, Hao Yu, Jie Shao, Junjie Zhou, Ke Zhu, Jianxin Wu:
Quantization without Tears. CoRR abs/2411.13918 (2024) - [i64]Junjie Zhou, Ke Zhu, Jianxin Wu:
All You Need in Knowledge Distillation Is a Tailored Coordinate System. CoRR abs/2412.09388 (2024) - 2023
- [j54]Hao Yu, Jianxin Wu:
A unified pruning framework for vision transformers. Sci. China Inf. Sci. 66(7) (2023) - [j53]Lin Sui, Chen-Lin Zhang, Jianxin Wu:
Salvage of Supervision in Weakly Supervised Object Detection and Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10394-10408 (2023) - [j52]Chen-Lin Zhang, Yin Li, Jianxin Wu:
Weakly supervised foreground learning for weakly supervised localization and detection. Pattern Recognit. 137: 109279 (2023) - [c76]Hao Yu, Jianxin Wu:
Compressing Transformers: Features Are Low-Rank, but Weights Are Not! AAAI 2023: 11007-11015 - [c75]Ke Zhu, Yin-Yin He, Jianxin Wu:
Quantized Feature Distillation for Network Quantization. AAAI 2023: 11452-11460 - [c74]Yingxiao Du, Jianxin Wu:
No One Left Behind: Improving the Worst Categories in Long-Tailed Learning. CVPR 2023: 15804-15813 - [c73]Guo-Hua Wang, Jianxin Wu:
Practical Network Acceleration with Tiny Sets. CVPR 2023: 20331-20340 - [c72]Ke Zhu, Minghao Fu, Jianxin Wu:
Multi-Label Self-Supervised Learning with Scene Images. ICCV 2023: 6671-6680 - [i63]Guo-Hua Wang, Jianxin Wu:
Practical Network Acceleration with Tiny Sets: Hypothesis, Theory, and Algorithm. CoRR abs/2303.00972 (2023) - [i62]Yingxiao Du, Jianxin Wu:
No One Left Behind: Improving the Worst Categories in Long-Tailed Learning. CoRR abs/2303.03630 (2023) - [i61]Minghao Fu, Ke Zhu, Jianxin Wu:
Instance-based Max-margin for Practical Few-shot Recognition. CoRR abs/2305.17368 (2023) - [i60]Ke Zhu, Yin-Yin He, Jianxin Wu:
Coarse Is Better? A New Pipeline Towards Self-Supervised Learning with Uncurated Images. CoRR abs/2306.04244 (2023) - [i59]Ke Zhu, Yin-Yin He, Jianxin Wu:
Quantized Feature Distillation for Network Quantization. CoRR abs/2307.10638 (2023) - [i58]Ke Zhu, Minghao Fu, Jianxin Wu:
Multi-Label Self-Supervised Learning with Scene Images. CoRR abs/2308.03286 (2023) - [i57]Minghao Fu, Ke Zhu, Jianxin Wu:
DTL: Disentangled Transfer Learning for Visual Recognition. CoRR abs/2312.07856 (2023) - 2022
- [j51]Guo-Hua Wang, Yifan Ge, Jianxin Wu:
Distilling Knowledge by Mimicking Features. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8183-8195 (2022) - [j50]Xiu-Shen Wei, Yi-Zhe Song, Oisin Mac Aodha, Jianxin Wu, Yuxin Peng, Jinhui Tang, Jian Yang, Serge J. Belongie:
Fine-Grained Image Analysis With Deep Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8927-8948 (2022) - [j49]Huanyu Wang, Yongshun Zhang, Jianxin Wu:
Versatile, full-spectrum, and swift network sampling for model generation. Pattern Recognit. 129: 108729 (2022) - [j48]Fu Xiong, Yang Xiao, Zhiguo Cao, Yancheng Wang, Joey Tianyi Zhou, Jianxin Wu:
ECML: An Ensemble Cascade Metric-Learning Mechanism Toward Face Verification. IEEE Trans. Cybern. 52(3): 1736-1749 (2022) - [c71]Yun-Hao Cao, Jianxin Wu:
A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications. AAAI 2022: 194-202 - [c70]Huanyu Wang, Junjie Liu, Xin Ma, Yang Yong, Zhenhua Chai, Jianxin Wu:
Compressing Models with Few Samples: Mimicking then Replacing. CVPR 2022: 691-700 - [c69]Lin Sui, Chen-Lin Zhang, Jianxin Wu:
Salvage of Supervision in Weakly Supervised Object Detection. CVPR 2022: 14207-14216 - [c68]Minghao Fu, Yun-Hao Cao, Jianxin Wu:
Worst Case Matters for Few-Shot Recognition. ECCV (20) 2022: 99-115 - [c67]Yun-Hao Cao, Hao Yu, Jianxin Wu:
Training Vision Transformers with only 2040 Images. ECCV (25) 2022: 220-237 - [c66]Chen-Lin Zhang, Jianxin Wu, Yin Li:
ActionFormer: Localizing Moments of Actions with Transformers. ECCV (4) 2022: 492-510 - [c65]Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou:
Synergistic Self-supervised and Quantization Learning. ECCV (30) 2022: 587-604 - [i56]Huanyu Wang, Junjie Liu, Xin Ma, Yang Yong, Zhenhua Chai, Jianxin Wu:
Compressing Models with Few Samples: Mimicking then Replacing. CoRR abs/2201.02620 (2022) - [i55]Yun-Hao Cao, Hao Yu, Jianxin Wu:
Training Vision Transformers with Only 2040 Images. CoRR abs/2201.10728 (2022) - [i54]Guo-Hua Wang, Jianxin Wu:
Practical Network Acceleration with Tiny Sets. CoRR abs/2202.07861 (2022) - [i53]Chen-Lin Zhang, Jianxin Wu, Yin Li:
ActionFormer: Localizing Moments of Actions with Transformers. CoRR abs/2202.07925 (2022) - [i52]Kun Yi, Guo-Hua Wang, Jianxin Wu:
PENCIL: Deep Learning with Noisy Labels. CoRR abs/2202.08436 (2022) - [i51]Guo-Hua Wang, Jianxin Wu:
R2-D2: Repetitive Reprediction Deep Decipher for Semi-Supervised Deep Learning. CoRR abs/2202.08955 (2022) - [i50]Minghao Fu, Yun-Hao Cao, Jianxin Wu:
Worst Case Matters for Few-Shot Recognition. CoRR abs/2203.06574 (2022) - [i49]Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou:
Synergistic Self-supervised and Quantization Learning. CoRR abs/2207.05432 (2022) - 2021
- [j47]Yun-Hao Cao, Jianxin Wu, Hanchen Wang, Joan Lasenby:
Neural random subspace. Pattern Recognit. 112: 107801 (2021) - [j46]Xiu-Shen Wei, Han-Jia Ye, Xin Mu, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Multi-Instance Learning With Emerging Novel Class. IEEE Trans. Knowl. Data Eng. 33(5): 2109-2120 (2021) - [c64]Yongshun Zhang, Xiu-Shen Wei, Boyan Zhou, Jianxin Wu:
Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks. AAAI 2021: 3447-3455 - [c63]Ke Zhu, Jianxin Wu:
Residual Attention: A Simple but Effective Method for Multi-Label Recognition. ICCV 2021: 184-193 - [c62]Yin-Yin He, Jianxin Wu, Xiu-Shen Wei:
Distilling Virtual Examples for Long-tailed Recognition. ICCV 2021: 235-244 - [c61]Zeren Sun, Yazhou Yao, Xiu-Shen Wei, Yongshun Zhang, Fumin Shen, Jianxin Wu, Jian Zhang, Heng Tao Shen:
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach. ICCV 2021: 10582-10591 - [c60]Hao Yu, Huanyu Wang, Jianxin Wu:
Mixup Without Hesitation. ICIG (2) 2021: 143-154 - [i48]Hao Yu, Huanyu Wang, Jianxin Wu:
Mixup Without Hesitation. CoRR abs/2101.04342 (2021) - [i47]Yun-Hao Cao, Jianxin Wu:
Rethinking Self-Supervised Learning: Small is Beautiful. CoRR abs/2103.13559 (2021) - [i46]Yin-Yin He, Jianxin Wu, Xiu-Shen Wei:
Distilling Virtual Examples for Long-tailed Recognition. CoRR abs/2103.15042 (2021) - [i45]Lin Sui, Chen-Lin Zhang, Jianxin Wu:
Salvage of Supervision in Weakly Supervised Detection. CoRR abs/2106.04073 (2021) - [i44]Yun-Hao Cao, Jianxin Wu:
A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications. CoRR abs/2106.09259 (2021) - [i43]Chen-Lin Zhang, Yin Li, Jianxin Wu:
Weakly Supervised Foreground Learning for Weakly Supervised Localization and Detection. CoRR abs/2108.01785 (2021) - [i42]Zeren Sun, Yazhou Yao, Xiu-Shen Wei, Yongshun Zhang, Fumin Shen, Jianxin Wu, Jian Zhang, Heng Tao Shen:
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach. CoRR abs/2108.02399 (2021) - [i41]Ke Zhu, Jianxin Wu:
Residual Attention: A Simple but Effective Method for Multi-Label Recognition. CoRR abs/2108.02456 (2021) - [i40]Xiu-Shen Wei, Yi-Zhe Song, Oisin Mac Aodha, Jianxin Wu, Yuxin Peng, Jinhui Tang, Jian Yang, Serge J. Belongie:
Fine-Grained Image Analysis with Deep Learning: A Survey. CoRR abs/2111.06119 (2021) - [i39]Hao Yu, Jianxin Wu:
A Unified Pruning Framework for Vision Transformers. CoRR abs/2111.15127 (2021) - 2020
- [j45]Jian-Hao Luo, Jianxin Wu:
AutoPruner: An end-to-end trainable filter pruning method for efficient deep model inference. Pattern Recognit. 107: 107461 (2020) - [j44]Yu Zhang, Siya Mi, Jianxin Wu, Xin Geng:
Simultaneous 3D hand detection and pose estimation using single depth images. Pattern Recognit. Lett. 140: 43-48 (2020) - [c59]Guo-Hua Wang, Jianxin Wu:
Repetitive Reprediction Deep Decipher for Semi-Supervised Learning. AAAI 2020: 6170-6177 - [c58]Yao Yao, Jiehui Deng, Xiuhua Chen, Chen Gong, Jianxin Wu, Jian Yang:
Deep Discriminative CNN with Temporal Ensembling for Ambiguously-Labeled Image Classification. AAAI 2020: 12669-12676 - [c57]Jian-Hao Luo, Jianxin Wu:
Neural Network Pruning With Residual-Connections and Limited-Data. CVPR 2020: 1455-1464 - [c56]Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu:
Rethinking the Route Towards Weakly Supervised Object Localization. CVPR 2020: 13457-13466 - [i38]Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu:
Rethinking the Route Towards Weakly Supervised Object Localization. CoRR abs/2002.11359 (2020) - [i37]Bin-Bin Gao, Xinxin Liu, Hong-Yu Zhou, Jianxin Wu, Xin Geng:
Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation. CoRR abs/2007.01771 (2020) - [i36]Guo-Hua Wang, Yifan Ge, Jianxin Wu:
In Defense of Feature Mimicking for Knowledge Distillation. CoRR abs/2011.01424 (2020)
2010 – 2019
- 2019
- [j43]Wenhao Zheng, Hong-Yu Zhou, Ming Li, Jianxin Wu:
CodeAttention: translating source code to comments by exploiting the code constructs. Frontiers Comput. Sci. 13(3): 565-578 (2019) - [j42]Jian-Hao Luo, Hao Zhang, Hong-Yu Zhou, Chen-Wei Xie, Jianxin Wu, Weiyao Lin:
ThiNet: Pruning CNN Filters for a Thinner Net. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2525-2538 (2019) - [j41]Xiu-Shen Wei, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Unsupervised object discovery and co-localization by deep descriptor transformation. Pattern Recognit. 88: 113-126 (2019) - [j40]Chen-Lin Zhang, Jianxin Wu:
Improving CNN linear layers with power mean non-linearity. Pattern Recognit. 89: 12-21 (2019) - [j39]Xiu-Shen Wei, Peng Wang, Lingqiao Liu, Chunhua Shen, Jianxin Wu:
Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples. IEEE Trans. Image Process. 28(12): 6116-6125 (2019) - [c55]Kun Yi, Jianxin Wu:
Probabilistic End-To-End Noise Correction for Learning With Noisy Labels. CVPR 2019: 7017-7025 - [i35]Chen-Lin Zhang, Xinxin Liu, Jianxin Wu:
Towards Real-Time Action Recognition on Mobile Devices Using Deep Models. CoRR abs/1906.07052 (2019) - [i34]Xiu-Shen Wei, Jianxin Wu, Quan Cui:
Deep Learning for Fine-Grained Image Analysis: A Survey. CoRR abs/1907.03069 (2019) - [i33]Guo-Hua Wang, Jianxin Wu:
Repetitive Reprediction Deep Decipher for Semi-Supervised Learning. CoRR abs/1908.04345 (2019) - [i32]Yun-Hao Cao, Jianxin Wu:
Neural Forest Learning. CoRR abs/1911.07845 (2019) - [i31]Jian-Hao Luo, Jianxin Wu:
Neural Network Pruning with Residual-Connections and Limited-Data. CoRR abs/1911.08114 (2019) - 2018
- [j38]Xiu-Shen Wei, Chen-Wei Xie, Jianxin Wu, Chunhua Shen:
Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization. Pattern Recognit. 76: 704-714 (2018) - [j37]Xiu-Shen Wei, Chen-Lin Zhang, Hao Zhang, Jianxin Wu:
Deep Bimodal Regression of Apparent Personality Traits from Short Video Sequences. IEEE Trans. Affect. Comput. 9(3): 303-315 (2018) - [c54]Weiyao Lin, Chongyang Zhang, Ke Lu, Bin Sheng, Jianxin Wu, Bingbing Ni, Xin Liu, Hongkai Xiong:
Action Recognition With Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion. AAAI 2018: 7130-7137 - [c53]Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu:
Coarse-to-Fine: A RNN-Based Hierarchical Attention Model for Vehicle Re-identification. ACCV (2) 2018: 575-591 - [c52]Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, Xin Geng:
Age Estimation Using Expectation of Label Distribution Learning. IJCAI 2018: 712-718 - [i30]Jianxin Wu, Jian-Hao Luo:
Learning Effective Binary Visual Representations with Deep Networks. CoRR abs/1803.03004 (2018) - [i29]Xiu-Shen Wei, Peng Wang, Lingqiao Liu, Chunhua Shen, Jianxin Wu:
Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples. CoRR abs/1805.04288 (2018) - [i28]Jian-Hao Luo, Jianxin Wu:
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference. CoRR abs/1805.08941 (2018) - [i27]Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu:
Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification. CoRR abs/1812.04239 (2018) - 2017
- [j36]Jian-Hao Luo, Wang Zhou, Jianxin Wu:
Image categorization with resource constraints: introduction, challenges and advances. Frontiers Comput. Sci. 11(1): 13-26 (2017) - [j35]Guosheng Lin, Fayao Liu, Chunhua Shen, Jianxin Wu, Heng Tao Shen:
Structured Learning of Binary Codes with Column Generation for Optimizing Ranking Measures. Int. J. Comput. Vis. 123(2): 287-308 (2017) - [j34]Shengye Yan, Xiaodong Zhu, Guoqing Liu, Jianxin Wu:
Sparse multiple instance learning as document classification. Multim. Tools Appl. 76(3): 4553-4570 (2017) - [j33]Weiyao Lin, Yang Zhou, Hongteng Xu, Junchi Yan, Mingliang Xu, Jianxin Wu, Zicheng Liu:
A Tube-and-Droplet-Based Approach for Representing and Analyzing Motion Trajectories. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1489-1503 (2017) - [j32]Jianxin Wu, Xiang Bai, Marco Loog, Fabio Roli, Zhi-Hua Zhou:
Editorial of the Special Issue on Multi-instance Learning in Pattern Recognition and Vision. Pattern Recognit. 71: 444-445 (2017) - [j31]Weiyao Lin, Yang Shen, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang, Ke Lu:
Learning Correspondence Structures for Person Re-Identification. IEEE Trans. Image Process. 26(5): 2438-2453 (2017) - [j30]Bin-Bin Gao, Chao Xing, Chen-Wei Xie, Jianxin Wu, Xin Geng:
Deep Label Distribution Learning With Label Ambiguity. IEEE Trans. Image Process. 26(6): 2825-2838 (2017) - [j29]Xiu-Shen Wei, Jian-Hao Luo, Jianxin Wu, Zhi-Hua Zhou:
Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval. IEEE Trans. Image Process. 26(6): 2868-2881 (2017) - [j28]Xiu-Shen Wei, Jianxin Wu, Zhi-Hua Zhou:
Scalable Algorithms for Multi-Instance Learning. IEEE Trans. Neural Networks Learn. Syst. 28(4): 975-987 (2017) - [c51]Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu:
Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition. BMVC 2017 - [c50]Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu:
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors. ICCV 2017: 3525-3533 - [c49]Jian-Hao Luo, Jianxin Wu, Weiyao Lin:
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression. ICCV 2017: 5068-5076 - [c48]Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Deep Descriptor Transforming for Image Co-Localization. IJCAI 2017: 3048-3054 - [c47]Hong-Yu Zhou, Jianxin Wu:
Content-Based Image Recovery. PCM (2) 2017: 606-615 - [c46]Chen-Lin Zhang, Jian-Hao Luo, Xiu-Shen Wei, Jianxin Wu:
In Defense of Fully Connected Layers in Visual Representation Transfer. PCM (2) 2017: 807-817 - [i26]Weiyao Lin, Yang Shen, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang, Ke Lu:
Learning Correspondence Structures for Person Re-identification. CoRR abs/1703.06931 (2017) - [i25]Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Deep Descriptor Transforming for Image Co-Localization. CoRR abs/1705.02758 (2017) - [i24]Jian-Hao Luo, Jianxin Wu:
An Entropy-based Pruning Method for CNN Compression. CoRR abs/1706.05791 (2017) - [i23]Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu:
Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition. CoRR abs/1707.06335 (2017) - [i22]Jian-Hao Luo, Jianxin Wu, Weiyao Lin:
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression. CoRR abs/1707.06342 (2017) - [i21]Xiu-Shen Wei, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming. CoRR abs/1707.06397 (2017) - [i20]Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu:
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors. CoRR abs/1707.06399 (2017) - [i19]Wenhao Zheng, Hong-Yu Zhou, Ming Li, Jianxin Wu:
Code Attention: Translating Code to Comments by Exploiting Domain Features. CoRR abs/1709.07642 (2017) - [i18]Weiyao Lin, Yang Mi, Jianxin Wu, Ke Lu, Hongkai Xiong:
Action Recognition with Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion. CoRR abs/1711.07430 (2017) - 2016
- [j27]Guo-Bing Zhou, Jianxin Wu, Chen-Lin Zhang, Zhi-Hua Zhou:
Minimal gated unit for recurrent neural networks. Int. J. Autom. Comput. 13(3): 226-234 (2016) - [j26]Jianxin Wu, Yu Zhang, Weiyao Lin:
Good Practices for Learning to Recognize Actions Using FV and VLAD. IEEE Trans. Cybern. 46(12): 2978-2990 (2016) - [j25]Weiyao Lin, Yang Mi, Weiyue Wang, Jianxin Wu, Jingdong Wang, Tao Mei:
A Diffusion and Clustering-Based Approach for Finding Coherent Motions and Understanding Crowd Scenes. IEEE Trans. Image Process. 25(4): 1674-1687 (2016) - [j24]Yu Zhang, Xiu-Shen Wei, Jianxin Wu, Jianfei Cai, Jiangbo Lu, Viet Anh Nguyen, Minh N. Do:
Weakly Supervised Fine-Grained Categorization With Part-Based Image Representation. IEEE Trans. Image Process. 25(4): 1713-1725 (2016) - [j23]Yu Zhang, Jianxin Wu, Jianfei Cai:
Compact Representation of High-Dimensional Feature Vectors for Large-Scale Image Recognition and Retrieval. IEEE Trans. Image Process. 25(5): 2407-2419 (2016) - [j22]Yu Zhang, Li Cheng, Jianxin Wu, Jianfei Cai, Minh N. Do, Jiangbo Lu:
Action Recognition in Still Images With Minimum Annotation Efforts. IEEE Trans. Image Process. 25(11): 5479-5490 (2016) - [c45]Jianxin Wu, Bin-Bin Gao, Guoqing Liu:
Representing Sets of Instances for Visual Recognition. AAAI 2016: 2237-2243 - [c44]Hao Yang, Joey Tianyi Zhou, Yu Zhang, Bin-Bin Gao, Jianxin Wu, Jianfei Cai:
Exploit Bounding Box Annotations for Multi-Label Object Recognition. CVPR 2016: 280-288 - [c43]Chen-Lin Zhang, Hao Zhang, Xiu-Shen Wei, Jianxin Wu:
Deep Bimodal Regression for Apparent Personality Analysis. ECCV Workshops (3) 2016: 311-324 - [c42]Haiping Lu, Jianxin Wu, Yu Zhang:
Learning compact binary codes from higher-order tensors via Free-Form Reshaping and Binarized Multilinear PCA. IJCNN 2016: 3008-3015 - [i17]Weiyao Lin, Yang Mi, Weiyue Wang, Jianxin Wu, Jingdong Wang, Tao Mei:
A diffusion and clustering-based approach for finding coherent motions and understanding crowd scenes. CoRR abs/1602.04921 (2016) - [i16]Guosheng Lin, Fayao Liu, Chunhua Shen, Jianxin Wu, Heng Tao Shen:
Structured Learning of Binary Codes with Column Generation. CoRR abs/1602.06654 (2016) - [i15]Guo-Bing Zhou, Jianxin Wu, Chen-Lin Zhang, Zhi-Hua Zhou:
Minimal Gated Unit for Recurrent Neural Networks. CoRR abs/1603.09420 (2016) - [i14]Xiu-Shen Wei, Jian-Hao Luo, Jianxin Wu, Zhi-Hua Zhou:
Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval. CoRR abs/1604.04994 (2016) - [i13]Xiu-Shen Wei, Chen-Wei Xie, Jianxin Wu:
Mask-CNN: Localizing Parts and Selecting Descriptors for Fine-Grained Image Recognition. CoRR abs/1605.06878 (2016) - [i12]Jianxin Wu, Chen-Wei Xie, Jian-Hao Luo:
Dense CNN Learning with Equivalent Mappings. CoRR abs/1605.07251 (2016) - [i11]Weiyao Lin, Yang Zhou, Hongteng Xu, Junchi Yan, Mingliang Xu, Jianxin Wu, Zicheng Liu:
A Tube-and-Droplet-based Approach for Representing and Analyzing Motion Trajectories. CoRR abs/1609.03058 (2016) - [i10]Bin-Bin Gao, Chao Xing, Chen-Wei Xie, Jianxin Wu, Xin Geng:
Deep Label Distribution Learning with Label Ambiguity. CoRR abs/1611.01731 (2016) - 2015
- [j21]Chi Zhang, Kalyan Subbu, Jun Luo, Jianxin Wu:
GROPING: Geomagnetism and cROwdsensing Powered Indoor NaviGation. IEEE Trans. Mob. Comput. 14(2): 387-400 (2015) - [j20]Jianxin Wu, Hao Yang:
Linear Regression-Based Efficient SVM Learning for Large-Scale Classification. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2357-2369 (2015) - [j19]Shijie Xiao, Dong Xu, Jianxin Wu:
Automatic Face Naming by Learning Discriminative Affinity Matrices From Weakly Labeled Images. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2440-2452 (2015) - [c41]Sing Kuang Tan, Tat-Jen Cham, Jianxin Wu:
Steerable second order intensity features for pedestrian detection. ACPR 2015: 311-315 - [c40]Yang Shen, Weiyao Lin, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang:
Person Re-Identification with Correspondence Structure Learning. ICCV 2015: 3200-3208 - [c39]Xiu-Shen Wei, Bin-Bin Gao, Jianxin Wu:
Deep Spatial Pyramid Ensemble for Cultural Event Recognition. ICCV Workshops 2015: 280-286 - [c38]Xu Yang, Bin-Bin Gao, Chao Xing, Zeng-Wei Huo, Xiu-Shen Wei, Ying Zhou, Jianxin Wu, Xin Geng:
Deep Label Distribution Learning for Apparent Age Estimation. ICCV Workshops 2015: 344-350 - [i9]Weiyao Lin, Yuanzhe Chen, Jianxin Wu, Hanli Wang, Bin Sheng, Hongxiang Li:
A new network-based algorithm for human activity recognition in video. CoRR abs/1502.06075 (2015) - [i8]Weiyao Lin, Hang Chu, Jianxin Wu, Bin Sheng, Zhenzhong Chen:
A Heat-Map-based Algorithm for Recognizing Group Activities in Videos. CoRR abs/1502.06076 (2015) - [i7]Yihao Zhang, Weiyao Lin, Bing Zhou, Zhenzhong Chen, Bin Sheng, Jianxin Wu, Wenjun Zhang:
Facial Expression Cloning with Elastic and Muscle Models. CoRR abs/1503.00088 (2015) - [i6]Jianxin Wu, Bin-Bin Gao, Guoqing Liu:
Visual Recognition Using Directional Distribution Distance. CoRR abs/1504.04792 (2015) - [i5]Yu Zhang, Xiu-Shen Wei, Jianxin Wu, Jianfei Cai, Jiangbo Lu, Viet Anh Nguyen, Minh N. Do:
Weakly Supervised Fine-Grained Image Categorization. CoRR abs/1504.04943 (2015) - [i4]Bin-Bin Gao, Xiu-Shen Wei, Jianxin Wu, Weiyao Lin:
Deep Spatial Pyramid: The Devil is Once Again in the Details. CoRR abs/1504.05277 (2015) - [i3]Hao Yang, Joey Tianyi Zhou, Yu Zhang, Bin-Bin Gao, Jianxin Wu, Jianfei Cai:
Can Partial Strong Labels Boost Multi-label Object Recognition? CoRR abs/1504.05843 (2015) - [i2]Yang Shen, Weiyao Lin, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang:
Person Re-identification with Correspondence Structure Learning. CoRR abs/1504.06243 (2015) - 2014
- [j18]Yihao Zhang, Weiyao Lin, Bing Zhou, Zhenzhong Chen, Bin Sheng, Jianxin Wu:
Facial expression cloning with elastic and muscle models. J. Vis. Commun. Image Represent. 25(5): 916-927 (2014) - [j17]Weiyao Lin, Yuanzhe Chen, Jianxin Wu, Hanli Wang, Bin Sheng, Hongxiang Li:
A New Network-Based Algorithm for Human Activity Recognition in Videos. IEEE Trans. Circuits Syst. Video Technol. 24(5): 826-841 (2014) - [j16]Yang Xiao, Jianxin Wu, Junsong Yuan:
mCENTRIST: A Multi-Channel Feature Generation Mechanism for Scene Categorization. IEEE Trans. Image Process. 23(2): 823-836 (2014) - [j15]Yu Zhang, Jianxin Wu, Jianfei Cai, Weiyao Lin:
Flexible Image Similarity Computation Using Hyper-Spatial Matching. IEEE Trans. Image Process. 23(9): 4112-4125 (2014) - [c37]Yue Zhu, Jianxin Wu, Yuan Jiang, Zhi-Hua Zhou:
Learning with Augmented Multi-Instance View. ACML 2014 - [c36]Yu Zhang, Jianxin Wu, Jianfei Cai:
Compact Representation for Image Classification: To Choose or to Compress? CVPR 2014: 907-914 - [c35]Jianxin Wu, Yu Zhang, Weiyao Lin:
Towards Good Practices for Action Video Encoding. CVPR 2014: 2577-2584 - [c34]Chi Zhang, Jun Luo, Jianxin Wu:
A Dual-Sensor Enabled Indoor Localization System with Crowdsensing Spot Survey. DCOSS 2014: 75-82 - [c33]Guosheng Lin, Chunhua Shen, Jianxin Wu:
Optimizing Ranking Measures for Compact Binary Code Learning. ECCV (3) 2014: 613-627 - [c32]Weiyue Wang, Weiyao Lin, Yuanzhe Chen, Jianxin Wu, Jingdong Wang, Bin Sheng:
Finding Coherent Motions and Semantic Regions in Crowd Scenes: A Diffusion and Clustering Approach. ECCV (1) 2014: 756-771 - [c31]Xiu-Shen Wei, Jianxin Wu, Zhi-Hua Zhou:
Scalable Multi-instance Learning. ICDM 2014: 1037-1042 - [c30]Chi Zhang, Jun Luo, Jianxin Wu:
Poster abstract: MaWi: a hybrid magnetic and wi-fi system for scalable indoor localization. IPSN 2014: 275-276 - [c29]Yang Zhou, Weiyao Lin, Hang Su, Jianxin Wu, Jinjun Wang, Yu Zhou:
Representing And Recognizing Motion Trajectories: A Tube And Droplet Approach. ACM Multimedia 2014: 1077-1080 - [i1]Guosheng Lin, Chunhua Shen, Jianxin Wu:
Optimizing Ranking Measures for Compact Binary Code Learning. CoRR abs/1407.1151 (2014) - 2013
- [j14]Guoqing Liu, Jianxin Wu, Suiping Zhou:
Probabilistic classifiers with a generalized Gaussian scale mixture prior. Pattern Recognit. 46(1): 332-345 (2013) - [j13]Weiyao Lin, Hang Chu, Jianxin Wu, Bin Sheng, Zhenzhong Chen:
A Heat-Map-Based Algorithm for Recognizing Group Activities in Videos. IEEE Trans. Circuits Syst. Video Technol. 23(11): 1980-1992 (2013) - [j12]Jianxin Wu, Nini Liu, Christopher Geyer, James M. Rehg:
${\rm C}^{4}$: A Real-Time Object Detection Framework. IEEE Trans. Image Process. 22(10): 4096-4107 (2013) - [c28]Hao Yang, Jianxin Wu:
Reduced Heteroscedasticity Linear Regression for Nyström Approximation. IJCAI 2013: 1841-1847 - [c27]Hongyuan Zhu, Jianfei Cai, Jianmin Zheng, Jianxin Wu, Nadia Magnenat-Thalmann:
Salient object cutout using Google images. ISCAS 2013: 905-908 - [c26]Matthew Keally, Gang Zhou, Guoliang Xing, Jianxin Wu:
Remora: Sensing resource sharing among smartphone-based body sensor networks. IWQoS 2013: 21-30 - [c25]Gaojian Li, Weiyao Lin, Sheng Zhang, Jianxin Wu, Yuanzhe Chen, Hui Wei:
A New Network-Based Algorithm for Human Group Activity Recognition in Videos. MMM (1) 2013: 163-173 - [c24]Anran Wang, Hongyuan Zhu, Jianfei Cai, Jianxin Wu:
Multi-class Cosegmentation with Pairwise Active Learning. PCM 2013: 69-78 - 2012
- [j11]Jianxin Wu:
Efficient HIK SVM Learning for Image Classification. IEEE Trans. Image Process. 21(10): 4442-4453 (2012) - [c23]Yu Zhang, Jianxin Wu, Weiyao Lin:
Exclusive Visual Descriptor Quantization. ACCV (1) 2012: 408-421 - [c22]Hao Yang, Jianxin Wu:
Object Templates for Visual Place Categorization. ACCV (4) 2012: 470-483 - [c21]Jianxin Wu:
Power mean SVM for large scale visual classification. CVPR 2012: 2344-2351 - [c20]Bin Jin, Weiyao Lin, Jianxin Wu, Tianhao Wu, Jun Huang, Chongyang Zhang:
Layout-expectation-based Model for Image Search Re-ranking. ICME Workshops 2012: 121-126 - [c19]Yihao Zhang, Weiyao Lin, Bin Sheng, Jianxin Wu, Hongxiang Li, Chongyang Zhang:
Facial expression mapping based on elastic and muscle-distribution-based models. ISCAS 2012: 2685-2688 - [c18]Hang Chu, Weiyao Lin, Jianxin Wu, Xingtong Zhou, Yuanzhe Chen, Hongxiang Li:
A new heat-map-based algorithm for human group activity recognition. ACM Multimedia 2012: 1069-1072 - [c17]Guoqing Liu, Jianxin Wu, Zhi-Hua Zhou:
Key Instance Detection in Multi-Instance Learning. ACML 2012: 253-268 - [c16]Hao Yang, Jianxin Wu:
Practical Large Scale Classification with Additive Kernels. ACML 2012: 523-538 - [e1]Weisi Lin, Dong Xu, Anthony T. S. Ho, Jianxin Wu, Ying He, Jianfei Cai, Mohan S. Kankanhalli, Ming-Ting Sun:
Advances in Multimedia Information Processing - PCM 2012 - 13th Pacific-Rim Conference on Multimedia, Singapore, December 4-6, 2012. Proceedings. Lecture Notes in Computer Science 7674, Springer 2012, ISBN 978-3-642-34777-1 [contents] - 2011
- [j10]Jianxin Wu, Wei-Chian Tan, James M. Rehg:
Efficient and Effective Visual Codebook Generation Using Additive Kernels. J. Mach. Learn. Res. 12: 3097-3118 (2011) - [j9]Jianxin Wu, James M. Rehg:
CENTRIST: A Visual Descriptor for Scene Categorization. IEEE Trans. Pattern Anal. Mach. Intell. 33(8): 1489-1501 (2011) - [c15]Jianxin Wu, Christopher Geyer, James M. Rehg:
Real-time human detection using contour cues. ICRA 2011: 860-867 - [c14]Guoqing Liu, Jianxin Wu, Suiping Zhou:
Probit Classifiers with a Generalized Gaussian Scale Mixture Prior. IJCAI 2011: 1372-1377 - [c13]Matthew Keally, Gang Zhou, Guoliang Xing, Jianxin Wu:
Exploiting sensing diversity for confident sensing in wireless sensor networks. INFOCOM 2011: 1719-1727 - [c12]Jianxin Wu:
Balance Support Vector Machines Locally Using the Structural Similarity Kernel. PAKDD (1) 2011: 112-123 - [c11]Matthew Keally, Gang Zhou, Guoliang Xing, Jianxin Wu, Andrew J. Pyles:
PBN: towards practical activity recognition using smartphone-based body sensor networks. SenSys 2011: 246-259 - [p1]Stan Z. Li, Jianxin Wu:
Face Detection. Handbook of Face Recognition 2011: 277-303 - 2010
- [j8]Zhi-Hua Zhou, Jianxin Wu, Wei Tang:
Corrigendum to "Ensembling neural networks: Many could be better than all" [Artificial Intelligence 137 (1-2) (2002) 239-263]. Artif. Intell. 174(18): 1570 (2010) - [c10]Jianxin Wu:
A Fast Dual Method for HIK SVM Learning. ECCV (2) 2010: 552-565
2000 – 2009
- 2009
- [j7]Xu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou:
Exploratory Undersampling for Class-Imbalance Learning. IEEE Trans. Syst. Man Cybern. Part B 39(2): 539-550 (2009) - [c9]Jianxin Wu, James M. Rehg:
Beyond the Euclidean distance: Creating effective visual codebooks using the Histogram Intersection Kernel. ICCV 2009: 630-637 - [c8]Jianxin Wu, Henrik I. Christensen, James M. Rehg:
Visual Place Categorization: Problem, dataset, and algorithm. IROS 2009: 4763-4770 - 2008
- [j6]S. Charles Brubaker, Jianxin Wu, Jie Sun, Matthew D. Mullin, James M. Rehg:
On the Design of Cascades of Boosted Ensembles for Face Detection. Int. J. Comput. Vis. 77(1-3): 65-86 (2008) - [j5]Jianxin Wu, S. Charles Brubaker, Matthew D. Mullin, James M. Rehg:
Fast Asymmetric Learning for Cascade Face Detection. IEEE Trans. Pattern Anal. Mach. Intell. 30(3): 369-382 (2008) - [c7]Jianxin Wu, James M. Rehg:
Where am I: Place instance and category recognition using spatial PACT. CVPR 2008 - 2007
- [c6]Jianxin Wu, Adebola Osuntogun, Tanzeem Choudhury, Matthai Philipose, James M. Rehg:
A Scalable Approach to Activity Recognition based on Object Use. ICCV 2007: 1-8 - 2006
- [c5]S. Charles Brubaker, Jianxin Wu, Jie Sun, Matthew D. Mullin, James M. Rehg:
Towards the Optimal Training of Cascades of Boosted Ensembles. Toward Category-Level Object Recognition 2006: 301-320 - [c4]Xu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou:
Exploratory Under-Sampling for Class-Imbalance Learning. ICDM 2006: 965-969 - 2005
- [c3]Jianxin Wu, Matthew D. Mullin, James M. Rehg:
Linear Asymmetric Classifier for cascade detectors. ICML 2005: 988-995 - 2003
- [j4]Jianxin Wu, Zhi-Hua Zhou:
Efficient face candidates selector for face detection. Pattern Recognit. 36(5): 1175-1186 (2003) - [c2]Jianxin Wu, James M. Rehg, Matthew D. Mullin:
Learning a Rare Event Detection Cascade by Direct Feature Selection. NIPS 2003: 1523-1530 - 2002
- [j3]Zhi-Hua Zhou, Jianxin Wu, Wei Tang:
Ensembling neural networks: Many could be better than all. Artif. Intell. 137(1-2): 239-263 (2002) - [j2]Jianxin Wu, Zhi-Hua Zhou:
Face recognition with one training image per person. Pattern Recognit. Lett. 23(14): 1711-1719 (2002) - 2001
- [j1]Zhi-Hua Zhou, Jianxin Wu, Wei Tang, Zhaoqian Chen:
Combining Regression Estimators: GA-Based Selective Neural Network Ensemble. Int. J. Comput. Intell. Appl. 1(4): 341-356 (2001) - [c1]Zhi-Hua Zhou, Jianxin Wu, Yuan Jiang, Shifu Chen:
Genetic Algorithm based Selective Neural Network Ensemble. IJCAI 2001: 797-802
Coauthor Index
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