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2020 – today
- 2024
[c42]Yang Jiao, Zequn Jie, Shaoxiang Chen, Lechao Cheng, Jingjing Chen
, Lin Ma, Yu-Gang Jiang:
Instance-Aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning. AAAI 2024: 2598-2606- [c41]Duojun Huang, Xinyu Xiong, Jie Ma, Jichang Li, Zequn Jie, Lin Ma, Guanbin Li:
AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning. CVPR 2024: 3205-3215 - [c40]Chengjian Feng, Yujie Zhong, Zequn Jie, Weidi Xie, Lin Ma:
InstaGen: Enhancing Object Detection by Training on Synthetic Dataset. CVPR 2024: 14121-14130 - [c39]Yunan Zeng, Yan Huang, Jinjin Zhang, Zequn Jie, Zhenhua Chai, Liang Wang:
Investigating Compositional Challenges in Vision-Language Models for Visual Grounding. CVPR 2024: 14141-14151 - [i48]Shaoxiang Chen, Zequn Jie, Lin Ma:
LLaVA-MoLE: Sparse Mixture of LoRA Experts for Mitigating Data Conflicts in Instruction Finetuning MLLMs. CoRR abs/2401.16160 (2024) - [i47]Chengjian Feng, Yujie Zhong, Zequn Jie, Weidi Xie, Lin Ma:
InstaGen: Enhancing Object Detection by Training on Synthetic Dataset. CoRR abs/2402.05937 (2024) - [i46]Yang Jiao, Shaoxiang Chen, Zequn Jie, Jingjing Chen, Lin Ma, Yu-Gang Jiang:
Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models. CoRR abs/2403.07304 (2024) - [i45]Yu Gao, Jiancheng Huang, Xiaopeng Sun, Zequn Jie, Yujie Zhong, Lin Ma:
Matten: Video Generation with Mamba-Attention. CoRR abs/2405.03025 (2024) - [i44]Duojun Huang, Xinyu Xiong, Jie Ma, Jichang Li, Zequn Jie, Lin Ma, Guanbin Li:
AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning. CoRR abs/2406.00480 (2024) - [i43]Shimin Chen, Yitian Yuan, Shaoxiang Chen, Zequn Jie, Lin Ma:
Fewer Tokens and Fewer Videos: Extending Video Understanding Abilities in Large Vision-Language Models. CoRR abs/2406.08024 (2024) - [i42]Lei Chen, Feng Yan, Yujie Zhong, Shaoxiang Chen, Zequn Jie, Lin Ma:
MindBench: A Comprehensive Benchmark for Mind Map Structure Recognition and Analysis. CoRR abs/2407.02842 (2024) - [i41]Hao Wang, Pengzhen Ren, Zequn Jie, Xiao Dong, Chengjian Feng, Yinlong Qian, Lin Ma, Dongmei Jiang, Yaowei Wang, Xiangyuan Lan, Xiaodan Liang:
OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion. CoRR abs/2407.07844 (2024) - [i40]Jinlong Li, Zequn Jie, Elisa Ricci, Lin Ma, Nicu Sebe:
Enhancing Robustness of Vision-Language Models through Orthogonality Learning and Cross-Regularization. CoRR abs/2407.08374 (2024) - [i39]Xiaoxu Xu, Yitian Yuan, Jinlong Li, Qiudan Zhang, Zequn Jie, Lin Ma, Hao Tang, Nicu Sebe, Xu Wang:
3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance. CoRR abs/2407.09826 (2024) - [i38]Zhijian Huang, Tao Tang, Shaoxiang Chen, Sihao Lin, Zequn Jie, Lin Ma, Guangrun Wang, Xiaodan Liang:
Making Large Language Models Better Planners with Reasoning-Decision Alignment. CoRR abs/2408.13890 (2024) - 2023
- [j13]Jinlong Li, Zequn Jie, Xu Wang, Yu Zhou, Lin Ma, Jianmin Jiang:
Weakly supervised semantic segmentation via self-supervised destruction learning. Neurocomputing 561: 126821 (2023) - [j12]Jinlong Li, Zequn Jie, Xu Wang, Yu Zhou, Xiaolin Wei, Lin Ma:
Weakly Supervised Semantic Segmentation Via Progressive Patch Learning. IEEE Trans. Multim. 25: 1686-1699 (2023) - [c38]Xiaohan Lan, Yitian Yuan, Hong Chen, Xin Wang, Zequn Jie, Lin Ma, Zhi Wang, Wenwu Zhu:
Curriculum Multi-Negative Augmentation for Debiased Video Grounding. AAAI 2023: 1213-1221 - [c37]Wei Zhou, Yinlong Qian, Zequn Jie, Lin Ma:
Multi View Action Recognition for Distracted Driver Behavior Localization. CVPR Workshops 2023: 5375-5380 - [c36]Chengjian Feng, Zequn Jie, Yujie Zhong, Xiangxiang Chu, Lin Ma:
AeDet: Azimuth-Invariant Multi-View 3D Object Detection. CVPR 2023: 21580-21588 - [c35]Yang Jiao, Zequn Jie, Shaoxiang Chen, Jingjing Chen, Lin Ma, Yu-Gang Jiang:
MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection. CVPR 2023: 21643-21652 - [c34]Yang Jiao, Zequn Jie, Jingjing Chen, Lin Ma, Yu-Gang Jiang:
Suspected Objects Matter: Rethinking Model's Prediction for One-stage Visual Grounding. ACM Multimedia 2023: 17-26 - [c33]Liucun Lu, Jinghui Qin, Zequn Jie, Lin Ma, Liang Lin, Xiaodan Liang:
RecFormer: Recurrent Multi-modal Transformer with History-Aware Contrastive Learning for Visual Dialog. PRCV (1) 2023: 159-171 - [i37]Sifan Zhou, Zhi Tian, Xiangxiang Chu, Xinyu Zhang, Bo Zhang, Xiaobo Lu, Chengjian Feng, Zequn Jie, Patrick Yin Chiang, Lin Ma:
FastPillars: A Deployment-friendly Pillar-based 3D Detector. CoRR abs/2302.02367 (2023) - [i36]Xiao Dong, Runhui Huang, Xiaoyong Wei, Zequn Jie, Jianxing Yu, Jian Yin, Xiaodan Liang:
UniDiff: Advancing Vision-Language Models with Generative and Discriminative Learning. CoRR abs/2306.00813 (2023) - [i35]Yang Jiao, Zequn Jie, Shaoxiang Chen, Lechao Cheng, Jingjing Chen, Lin Ma, Yu-Gang Jiang:
Instance-aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning. CoRR abs/2312.08004 (2023) - [i34]Xiaoxu Xu, Yitian Yuan, Qiudan Zhang, Wenhui Wu, Zequn Jie, Lin Ma, Xu Wang:
Weakly-Supervised 3D Visual Grounding based on Visual Linguistic Alignment. CoRR abs/2312.09625 (2023) - 2022
- [c32]Yang Jiao, Shaoxiang Chen, Zequn Jie, Jingjing Chen, Lin Ma, Yu-Gang Jiang:
MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes. ECCV (35) 2022: 528-545 - [c31]Chengjian Feng, Yujie Zhong, Zequn Jie, Xiangxiang Chu, Haibing Ren, Xiaolin Wei, Weidi Xie, Lin Ma:
PromptDet: Towards Open-Vocabulary Detection Using Uncurated Images. ECCV (9) 2022: 701-717 - [c30]Xujie Zhang, Yu Sha, Michael C. Kampffmeyer, Zhenyu Xie, Zequn Jie, Chengwen Huang, Jianqing Peng, Xiaodan Liang:
ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design. ACM Multimedia 2022: 4525-4535 - [c29]Jinlong Li, Zequn Jie, Xu Wang, Xiaolin Wei, Lin Ma:
Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation. NeurIPS 2022 - [i33]Yang Jiao, Zequn Jie, Jingjing Chen, Lin Ma, Yu-Gang Jiang:
Suspected Object Matters: Rethinking Model's Prediction for One-stage Visual Grounding. CoRR abs/2203.05186 (2022) - [i32]Yang Jiao, Shaoxiang Chen, Zequn Jie, Jingjing Chen, Lin Ma, Yu-Gang Jiang:
MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes. CoRR abs/2203.05203 (2022) - [i31]Chengjian Feng, Yujie Zhong, Zequn Jie, Xiangxiang Chu, Haibing Ren, Xiaolin Wei, Weidi Xie, Lin Ma:
PromptDet: Expand Your Detector Vocabulary with Uncurated Images. CoRR abs/2203.16513 (2022) - [i30]Shaoxiang Chen, Zequn Jie, Xiaolin Wei, Lin Ma:
MT-Net Submission to the Waymo 3D Detection Leaderboard. CoRR abs/2207.04781 (2022) - [i29]Xujie Zhang, Yu Sha, Michael C. Kampffmeyer, Zhenyu Xie, Zequn Jie, Chengwen Huang, Jianqing Peng, Xiaodan Liang:
ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design. CoRR abs/2208.05621 (2022) - [i28]Yang Jiao, Zequn Jie, Shaoxiang Chen, Jingjing Chen, Xiaolin Wei, Lin Ma, Yu-Gang Jiang:
MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection. CoRR abs/2209.03102 (2022) - [i27]Jinlong Li, Zequn Jie, Xu Wang, Xiaolin Wei, Lin Ma:
Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation. CoRR abs/2209.07761 (2022) - [i26]Jinlong Li, Zequn Jie, Xu Wang, Yu Zhou, Xiaolin Wei, Lin Ma:
Weakly Supervised Semantic Segmentation via Progressive Patch Learning. CoRR abs/2209.07828 (2022) - [i25]Chengjian Feng, Zequn Jie, Yujie Zhong, Xiangxiang Chu, Lin Ma:
AeDet: Azimuth-invariant Multi-view 3D Object Detection. CoRR abs/2211.12501 (2022) - [i24]Feng Yan, Zhiheng Li, Weixin Luo, Zequn Jie, Fan Liang, Xiaolin Wei, Lin Ma:
Multiple Object Tracking Challenge Technical Report for Team MT_IoT. CoRR abs/2212.03586 (2022) - 2021
- [j11]Zheng Ge, Zequn Jie, Xin Huang, Chengzheng Li, Osamu Yoshie:
Delving deep into the imbalance of positive proposals in two-stage object detection. Neurocomputing 425: 107-116 (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) - [j9]Yuzhu Ji, Haijun Zhang, Zequn Jie, Lin Ma, Q. M. Jonathan Wu:
CASNet: A Cross-Attention Siamese Network for Video Salient Object Detection. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2676-2690 (2021) - [c28]Yang Jiao, Zequn Jie, Weixin Luo, Jingjing Chen, Yu-Gang Jiang, Xiaolin Wei, Lin Ma:
Two-stage Visual Cues Enhancement Network for Referring Image Segmentation. ACM Multimedia 2021: 1331-1340 - [i23]Yang Jiao, Zequn Jie, Weixin Luo, Jingjing Chen, Yu-Gang Jiang, Xiaolin Wei, Lin Ma:
Two-stage Visual Cues Enhancement Network for Referring Image Segmentation. CoRR abs/2110.04435 (2021) - 2020
- [j8]Zhenyu Zhang, Zhen Cui, Chunyan Xu, Zequn Jie, Xiang Li, Jian Yang:
Joint Task-Recursive Learning for RGB-D Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2608-2623 (2020) - [j7]Lin Ma, Wenhao Jiang, Zequn Jie, Yu-Gang Jiang, Wei Liu:
Matching Image and Sentence With Multi-Faceted Representations. IEEE Trans. Circuits Syst. Video Technol. 30(7): 2250-2261 (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 - [c26]Xin Huang, Zheng Ge, Zequn Jie, Osamu Yoshie:
NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing. CVPR 2020: 10747-10756 - [c25]Yuan Gao, Haoping Bai, Zequn Jie, Jiayi Ma, Kui Jia, Wei Liu:
MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning. CVPR 2020: 11540-11549 - [c24]Zheng Ge, Zequn Jie, Xin Huang, Rong Xu, Osamu Yoshie:
PS-RCNN: Detecting Secondary Human Instances in a Crowd via Primary Object Suppression. ICME 2020: 1-6 - [i22]Zheng Ge, Zequn Jie, Xin Huang, Rong Xu, Osamu Yoshie:
PS-RCNN: Detecting Secondary Human Instances in a Crowd via Primary Object Suppression. CoRR abs/2003.07080 (2020) - [i21]Xin Huang, Zheng Ge, Zequn Jie, Osamu Yoshie:
NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing. CoRR abs/2003.12729 (2020) - [i20]Yuan Gao, Haoping Bai, Zequn Jie, Jiayi Ma, Kui Jia, Wei Liu:
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning. CoRR abs/2003.14058 (2020) - [i19]Zheng Ge, Zequn Jie, Xin Huang, Chengzheng Li, Osamu Yoshie:
Delving into the Imbalance of Positive Proposals in Two-stage Object Detection. CoRR abs/2005.11472 (2020)
2010 – 2019
- 2019
- [j6]Lin Ma, Wenhao Jiang, Zequn Jie, Xu Wang:
Bidirectional image-sentence retrieval by local and global deep matching. Neurocomputing 345: 36-44 (2019) - [c23]Jingyuan Chen, Lin Ma, Xinpeng Chen, Zequn Jie, Jiebo Luo:
Localizing Natural Language in Videos. AAAI 2019: 8175-8182 - [c22]Chengzheng Li, Chunyan Xu, Zhen Cui, Dan Wang, Zequn Jie, Tong Zhang, Jian Yang:
Learning Object-Wise Semantic Representation for Detection in Remote Sensing Imagery. CVPR Workshops 2019: 20-27 - [c21]Jianbo Jiao, Yunchao Wei, Zequn Jie, Honghui Shi, Rynson W. H. Lau, Thomas S. Huang:
Geometry-Aware Distillation for Indoor Semantic Segmentation. CVPR 2019: 2869-2878 - [c20]Fangyu Zou, Li Shen, Zequn Jie, Weizhong Zhang, Wei Liu:
A Sufficient Condition for Convergences of Adam and RMSProp. CVPR 2019: 11127-11135 - [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) - [j4]Zequn Jie, Wen Feng Lu, Siavash Sakhavi, Yunchao Wei, Francis Eng Hock Tay, Shuicheng Yan:
Object Proposal Generation With Fully Convolutional Networks. IEEE Trans. Circuits Syst. Video Technol. 28(1): 62-75 (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 - [c17]Bo Zhao, Bo Chang, Zequn Jie, Leonid Sigal:
Modular Generative Adversarial Networks. ECCV (14) 2018: 157-173 - [c16]Zhenyu Zhang, Zhen Cui, Chunyan Xu, Zequn Jie, Xiang Li, Jian Yang:
Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation. ECCV (10) 2018: 238-255 - [c15]Yonggen Ling, Linchao Bao, Zequn Jie, Fengming Zhu, Ziyang Li, Shanmin Tang, Yongsheng Liu, Wei Liu, Tong Zhang:
Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry. ECCV (9) 2018: 491-507 - [c14]Jingyuan Chen, Xinpeng Chen, Lin Ma, Zequn Jie, Tat-Seng Chua:
Temporally Grounding Natural Sentence in Video. EMNLP 2018: 162-171 - [c13]Bingyi Kang, Zequn Jie, Jiashi Feng:
Policy Optimization with Demonstrations. ICML 2018: 2474-2483 - [c12]Tiezhu Sun, Wei Zhang, Zhijie Wang, Lin Ma, Zequn Jie:
Image-level to Pixel-wise Labeling: From Theory to Practice. IJCAI 2018: 928-934 - [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) - [i16]Bo Zhao, Bo Chang, Zequn Jie, Leonid Sigal:
Modular Generative Adversarial Networks. CoRR abs/1804.03343 (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) - [i14]Yonggen Ling, Linchao Bao, Zequn Jie, Fengming Zhu, Ziyang Li, Shanmin Tang, Yongsheng Liu, Wei Liu, Tong Zhang:
Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry. CoRR abs/1810.05456 (2018) - [i13]Fangyu Zou, Li Shen, Zequn Jie, Weizhong Zhang, Wei Liu:
A Sufficient Condition for Convergences of Adam and RMSProp. CoRR abs/1811.09358 (2018) - [i12]Xinpeng Chen, Lin Ma, Jingyuan Chen, Zequn Jie, Wei Liu, Jiebo Luo:
Real-Time Referring Expression Comprehension by Single-Stage Grounding Network. CoRR abs/1812.03426 (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
- [j2]Yunchao Wei, Xiaodan Liang, Yunpeng Chen, Zequn Jie, Yanhui Xiao, Yao Zhao, Shuicheng Yan:
Learning to segment with image-level annotations. Pattern Recognit. 59: 234-244 (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 - [c3]Zequn Jie, Wen Feng Lu, Francis Eng Hock Tay:
Accurate On-Road Vehicle Detection with Deep Fully Convolutional Networks. MLDM 2016: 643-658 - [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) - 2014
- [c1]Zequn Jie, Shuicheng Yan:
Robust Scene Classification with Cross-Level LLC Coding on CNN Features. ACCV (2) 2014: 376-390
Coauthor Index
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