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Zequn Jie
Publications
- 2021
- [j10]Zequn Jie, Peng Sun, Xi Li, Jiashi Feng, Wei Liu:
Anytime Recognition with Routing Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 1875-1886 (2021) - 2020
- [c27]Li Yuan, Tao Wang, Xiaopeng Zhang, Francis E. H. Tay, Zequn Jie, Wei Liu, Jiashi Feng:
Central Similarity Quantization for Efficient Image and Video Retrieval. CVPR 2020: 3080-3089 - 2019
- [i18]Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis E. H. Tay, Jiashi Feng:
Central Similarity Hashing via Hadamard matrix. CoRR abs/1908.00347 (2019) - 2018
- [j5]Xin Li, Zequn Jie, Jiashi Feng, Changsong Liu, Shuicheng Yan:
Learning with rethinking: Recurrently improving convolutional neural networks through feedback. Pattern Recognit. 79: 183-194 (2018) - [j3]Hao Liu, Zequn Jie, Jayashree Karlekar, Meibin Qi, Jianguo Jiang, Shuicheng Yan, Jiashi Feng:
Video-Based Person Re-Identification With Accumulative Motion Context. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2788-2802 (2018) - [c19]Zequn Jie, Pengfei Wang, Yonggen Ling, Bo Zhao, Yunchao Wei, Jiashi Feng, Wei Liu:
Left-Right Comparative Recurrent Model for Stereo Matching. CVPR 2018: 3838-3846 - [c18]Yunchao Wei, Huaxin Xiao, Honghui Shi, Zequn Jie, Jiashi Feng, Thomas S. Huang:
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation. CVPR 2018: 7268-7277 - [c13]Bingyi Kang, Zequn Jie, Jiashi Feng:
Policy Optimization with Demonstrations. ICML 2018: 2474-2483 - [c11]Bo Zhao, Xiao Wu, Zhi-Qi Cheng, Hao Liu, Zequn Jie, Jiashi Feng:
Multi-View Image Generation from a Single-View. ACM Multimedia 2018: 383-391 - [i17]Zequn Jie, Pengfei Wang, Yonggen Ling, Bo Zhao, Yunchao Wei, Jiashi Feng, Wei Liu:
Left-Right Comparative Recurrent Model for Stereo Matching. CoRR abs/1804.00796 (2018) - [i15]Yunchao Wei, Huaxin Xiao, Honghui Shi, Zequn Jie, Jiashi Feng, Thomas S. Huang:
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation. CoRR abs/1805.04574 (2018) - 2017
- [c10]Xiaojie Jin, Yunpeng Chen, Zequn Jie, Jiashi Feng, Shuicheng Yan:
Multi-Path Feedback Recurrent Neural Networks for Scene Parsing. AAAI 2017: 4096-4102 - [c9]Zequn Jie, Yunchao Wei, Xiaojie Jin, Jiashi Feng, Wei Liu:
Deep Self-Taught Learning for Weakly Supervised Object Localization. CVPR 2017: 4294-4302 - [c8]Hao Liu, Jiashi Feng, Zequn Jie, Jayashree Karlekar, Bo Zhao, Meibin Qi, Jianguo Jiang, Shuicheng Yan:
Neural Person Search Machines. ICCV 2017: 493-501 - [c7]Xin Li, Zequn Jie, Wei Wang, Changsong Liu, Jimei Yang, Xiaohui Shen, Zhe Lin, Qiang Chen, Shuicheng Yan, Jiashi Feng:
FoveaNet: Perspective-Aware Urban Scene Parsing. ICCV 2017: 784-792 - [c6]Xiaojie Jin, Xin Li, Huaxin Xiao, Xiaohui Shen, Zhe Lin, Jimei Yang, Yunpeng Chen, Jian Dong, Luoqi Liu, Zequn Jie, Jiashi Feng, Shuicheng Yan:
Video Scene Parsing with Predictive Feature Learning. ICCV 2017: 5581-5589 - [c5]Xiaojie Jin, Huaxin Xiao, Xiaohui Shen, Jimei Yang, Zhe Lin, Yunpeng Chen, Zequn Jie, Jiashi Feng, Shuicheng Yan:
Predicting Scene Parsing and Motion Dynamics in the Future. NIPS 2017: 6915-6924 - [i11]Hao Liu, Zequn Jie, Jayashree Karlekar, Meibin Qi, Jianguo Jiang, Shuicheng Yan, Jiashi Feng:
Video-based Person Re-identification with Accumulative Motion Context. CoRR abs/1701.00193 (2017) - [i10]Zequn Jie, Xiaodan Liang, Jiashi Feng, Xiaojie Jin, Wen Feng Lu, Shuicheng Yan:
Tree-Structured Reinforcement Learning for Sequential Object Localization. CoRR abs/1703.02710 (2017) - [i9]Zequn Jie, Yunchao Wei, Xiaojie Jin, Jiashi Feng, Wei Liu:
Deep Self-Taught Learning for Weakly Supervised Object Localization. CoRR abs/1704.05188 (2017) - [i8]Hao Liu, Jiashi Feng, Zequn Jie, Jayashree Karlekar, Bo Zhao, Meibin Qi, Jianguo Jiang, Shuicheng Yan:
Neural Person Search Machines. CoRR abs/1707.06777 (2017) - [i7]Xin Li, Zequn Jie, Wei Wang, Changsong Liu, Jimei Yang, Xiaohui Shen, Zhe Lin, Qiang Chen, Shuicheng Yan, Jiashi Feng:
FoveaNet: Perspective-aware Urban Scene Parsing. CoRR abs/1708.02421 (2017) - [i6]Xin Li, Zequn Jie, Jiashi Feng, Changsong Liu, Shuicheng Yan:
Learning with Rethinking: Recurrently Improving Convolutional Neural Networks through Feedback. CoRR abs/1708.04483 (2017) - [i5]Xiaojie Jin, Huaxin Xiao, Xiaohui Shen, Jimei Yang, Zhe Lin, Yunpeng Chen, Zequn Jie, Jiashi Feng, Shuicheng Yan:
Predicting Scene Parsing and Motion Dynamics in the Future. CoRR abs/1711.03270 (2017) - 2016
- [j1]Zequn Jie, Xiaodan Liang, Jiashi Feng, Wen Feng Lu, Francis Eng Hock Tay, Shuicheng Yan:
Scale-Aware Pixelwise Object Proposal Networks. IEEE Trans. Image Process. 25(10): 4525-4539 (2016) - [c4]Xiaodan Liang, Yunchao Wei, Xiaohui Shen, Zequn Jie, Jiashi Feng, Liang Lin, Shuicheng Yan:
Reversible Recursive Instance-Level Object Segmentation. CVPR 2016: 633-641 - [c2]Zequn Jie, Xiaodan Liang, Jiashi Feng, Xiaojie Jin, Wen Feng Lu, Shuicheng Yan:
Tree-Structured Reinforcement Learning for Sequential Object Localization. NIPS 2016: 127-135 - [i4]Zequn Jie, Xiaodan Liang, Jiashi Feng, Wen Feng Lu, Francis Eng Hock Tay, Shuicheng Yan:
Scale-aware Pixel-wise Object Proposal Networks. CoRR abs/1601.04798 (2016) - [i3]Xiaojie Jin, Yunpeng Chen, Jiashi Feng, Zequn Jie, Shuicheng Yan:
Multi-Path Feedback Recurrent Neural Network for Scene Parsing. CoRR abs/1608.07706 (2016) - [i2]Xiaojie Jin, Xin Li, Huaxin Xiao, Xiaohui Shen, Zhe Lin, Jimei Yang, Yunpeng Chen, Jian Dong, Luoqi Liu, Zequn Jie, Jiashi Feng, Shuicheng Yan:
Video Scene Parsing with Predictive Feature Learning. CoRR abs/1612.00119 (2016) - 2015
- [i1]Xiaodan Liang, Yunchao Wei, Xiaohui Shen, Zequn Jie, Jiashi Feng, Liang Lin, Shuicheng Yan:
Reversible Recursive Instance-level Object Segmentation. CoRR abs/1511.04517 (2015)
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