Yongjian Wu

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 120

Top Venues

Publications

Xiaoguang Li, Bingru Guo, Yingqi Yang, Yuan Wang, Li Zhuo, Hui Chen, Yongjian Wu, Jing Zhang
Predicting Postoperative Complications of TAVR Using Multimodal Feature Alignment Network. CVDL (2024)
Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Yongjian Wu, Yue Gao, Rongrong Ji
Towards Language-Guided Visual Recognition via Dynamic Convolutions. Int. J. Comput. Vis. 132 (1) (2024)
Xingbin Liu, Huafeng Kuang, Xianming Lin, Yongjian Wu, Rongrong Ji
CAT: Collaborative Adversarial Training. CoRR (2023)
Haowei Wang, Jiayi Ji, Yiyi Zhou, Yongjian Wu, Xiaoshuai Sun
Towards Real-Time Panoptic Narrative Grounding by an End-to-End Grounding Network. AAAI (2023)
Huafeng Kuang, Hong Liu, Yongjian Wu, Rongrong Ji
Semantically Consistent Visual Representation for Adversarial Robustness. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Xiawu Zheng, Chenyi Yang, Shaokun Zhang, Yan Wang, Baochang Zhang, Yongjian Wu, Yunsheng Wu, Ling Shao, Rongrong Ji
DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning. Int. J. Comput. Vis. 131 (5) (2023)
Lei Tan, Yukang Zhang, Shengmei Shen, Yan Wang, Pingyang Dai, Xianming Lin, Yongjian Wu, Rongrong Ji
Exploring Invariant Representation for Visible-Infrared Person Re-Identification. CoRR (2023)
Yang Zhou, Yongjian Wu, Zihua Wang, Bingzheng Wei, Maode Lai, Jianzhong Shou, Yubo Fan, Yan Xu
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation. CoRR (2023)
Yuexiao Ma, Taisong Jin, Xiawu Zheng, Yan Wang, Huixia Li, Yongjian Wu, Guannan Jiang, Wei Zhang, Rongrong Ji
OMPQ: Orthogonal Mixed Precision Quantization. AAAI (2023)
Yongjian Wu, Yang Zhou, Jiya Saiyin, Bingzheng Wei, Maode Lai, Jianzhong Shou, Yubo Fan, Yan Xu
Zero-Shot Nuclei Detection via Visual-Language Pre-trained Models. MICCAI (6) (2023)
Wenfeng Liu, Xudong Wang, Lei Tan, Yan Zhang, Pingyang Dai, Yongjian Wu, Rongrong Ji
Learning Occlusion Disentanglement with Fine-grained Localization for Occluded Person Re-identification. ACM Multimedia (2023)
Huafeng Kuang, Hong Liu, Yongjian Wu, Shin'ichi Satoh, Rongrong Ji
Improving Adversarial Robustness via Information Bottleneck Distillation. NeurIPS (2023)
Haowei Wang, Jiayi Ji, Yiyi Zhou, Yongjian Wu, Xiaoshuai Sun
Towards Real-Time Panoptic Narrative Grounding by an End-to-End Grounding Network. CoRR (2023)
Endai Huang, Axiu Mao, Junhui Hou, Yongjian Wu, Weitao Xu, Maria Camila Ceballos, Thomas D. Parsons, Kai Liu
Occlusion-Resistant instance segmentation of piglets in farrowing pens using center clustering network. Comput. Electron. Agric. 210 (2023)
Yang Zhou, Yongjian Wu, Zihua Wang, Bingzheng Wei, Maode Lai, Jianzhong Shou, Yubo Fan, Yan Xu
Cyclic Learning: Bridging Image-Level Labels and Nuclei Instance Segmentation. IEEE Trans. Medical Imaging 42 (10) (2023)
Shaojie Li, Mingbao Lin, Yan Wang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji
Distilling a Powerful Student Model via Online Knowledge Distillation. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Yiwei Ma, Jiayi Ji, Xiaoshuai Sun, Yiyi Zhou, Yongjian Wu, Feiyue Huang, Rongrong Ji
Knowing What it is: Semantic-Enhanced Dual Attention Transformer. IEEE Trans. Multim. 25 (2023)
Lei Tan, Pingyang Dai, Qixiang Ye, Mingliang Xu, Yongjian Wu, Rongrong Ji
Spectral Aware Softmax for Visible-Infrared Person Re-Identification. CoRR (2023)
Jiaer Xia, Lei Tan, Pingyang Dai, Mingbo Zhao, Yongjian Wu, Rongrong Ji
Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-Identification. CoRR (2023)
Xingbin Liu, Huafeng Kuang, Hong Liu, Xianming Lin, Yongjian Wu, Rongrong Ji
Latent Feature Relation Consistency for Adversarial Robustness. CoRR (2023)
Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Yongjian Wu, Yonghong Tian, Rongrong Ji
Carrying Out CNN Channel Pruning in a White Box. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji
CF-ViT: A General Coarse-to-Fine Method for Vision Transformer. AAAI (2023)
Fangzhou Xu, Chongfeng Wang, Xin Yu, Jinzhao Zhao, Ming Liu, Jiaqi Zhao, Licai Gao, Xiuquan Jiang, Zhaoxin Zhu, Yongjian Wu, Dezheng Wang, Shanxin Feng, Sen Yin, Yang Zhang, Jiancai Leng
One-Dimensional Local Binary Pattern and Common Spatial Pattern Feature Fusion Brain Network for Central Neuropathic Pain. Int. J. Neural Syst. 33 (6) (2023)
Yongjian Wu, Yang Zhou, Jiya Saiyin, Bingzheng Wei, Maode Lai, Jianzhong Shou, Yubo Fan, Yan Xu
Zero-shot Nuclei Detection via Visual-Language Pre-trained Models. CoRR (2023)
Qiong Wu, Jiahan Li, Pingyang Dai, Qixiang Ye, Liujuan Cao, Yongjian Wu, Rongrong Ji
Unsupervised Domain Adaptation on Person Re-Identification via Dual-level Asymmetric Mutual Learning. CoRR (2023)
Qiong Wu, Jiaer Xia, Pingyang Dai, Yiyi Zhou, Yongjian Wu, Rongrong Ji
CycleTrans: Learning Neutral yet Discriminative Features for Visible-Infrared Person Re-Identification. CoRR (2022)
Chengpeng Dai, Fuhai Chen, Xiaoshuai Sun, Rongrong Ji, Qixiang Ye, Yongjian Wu
Global2Local: A Joint-Hierarchical Attention for Video Captioning. CoRR (2022)
Yuxin Zhang, Mingbao Lin, Mengzhao Chen, Zihan Xu, Fei Chao, Yunhang Shen, Ke Li, Yongjian Wu, Rongrong Ji
Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need. CoRR (2022)
Jiayi Ji, Yiwei Ma, Xiaoshuai Sun, Yiyi Zhou, Yongjian Wu, Rongrong Ji
Knowing What to Learn: A Metric-Oriented Focal Mechanism for Image Captioning. IEEE Trans. Image Process. 31 (2022)
Yixu Wang, Jie Li, Hong Liu, Yan Wang, Yongjian Wu, Feiyue Huang, Rongrong Ji
Black-Box Dissector: Towards Erasing-Based Hard-Label Model Stealing Attack. ECCV (5) (2022)
Lei Tan, Pingyang Dai, Rongrong Ji, Yongjian Wu
Dynamic Prototype Mask for Occluded Person Re-Identification. ACM Multimedia (2022)
Liujuan Cao, Huafeng Kuang, Hong Liu, Yan Wang, Baochang Zhang, Feiyue Huang, Yongjian Wu, Rongrong Ji
Towards Robust Adversarial Training via Dual-label Supervised and Geometry Constraint. Int. J. Softw. Informatics 12 (2) (2022)
Mingbao Lin, Rongrong Ji, Shaojie Li, Yan Wang, Yongjian Wu, Feiyue Huang, Qixiang Ye
Network Pruning Using Adaptive Exemplar Filters. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Yan Wang, Liujuan Cao, Yongjian Wu, Feiyue Huang, Rongrong Ji
Towards Lightweight Transformer via Group-wise Transformation for Vision-and-Language Tasks. CoRR (2022)
Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji
Fine-grained Data Distribution Alignment for Post-Training Quantization. ECCV (11) (2022)
Fuhai Chen, Xiaoshuai Sun, Xuri Ge, Jianzhuang Liu, Yongjian Wu, Feiyue Huang, Rongrong Ji
Differentiated Relevances Embedding for Group-based Referring Expression Comprehension. CoRR (2022)
Lei Tan, Pingyang Dai, Rongrong Ji, Yongjian Wu
Dynamic Prototype Mask for Occluded Person Re-Identification. CoRR (2022)
Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks. CoRR (2022)
Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Yan Wang, Liujuan Cao, Yongjian Wu, Feiyue Huang, Rongrong Ji
Towards Lightweight Transformer Via Group-Wise Transformation for Vision-and-Language Tasks. IEEE Trans. Image Process. 31 (2022)
Endai Huang, Axiu Mao, Yongjian Wu, Haiming Gan, Maria Camila Ceballos, Thomas D. Parsons, Junhui Hou, Kai Liu
Occlusion-Resistant Instance Segmentation of Piglets in Farrowing Pens Using Center Clustering Network. CoRR (2022)
Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji
Coarse-to-Fine Vision Transformer. CoRR (2022)
Jun Peng, Han Pan, Yiyi Zhou, Jing He, Xiaoshuai Sun, Yan Wang, Yongjian Wu, Rongrong Ji
Towards Open-Ended Text-to-Face Generation, Combination and Manipulation. ACM Multimedia (2022)
Yuxin Zhang, Mingbao Lin, Zhihang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji
Learning Best Combination for Efficient N: M Sparsity. NeurIPS (2022)
Jun Peng, Yiyi Zhou, Xiaoshuai Sun, Liujuan Cao, Yongjian Wu, Feiyue Huang, Rongrong Ji
Knowledge-Driven Generative Adversarial Network for Text-to-Image Synthesis. IEEE Trans. Multim. 24 (2022)
Yuxin Zhang, Mingbao Lin, Zhihang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji
Learning Best Combination for Efficient N: M Sparsity. CoRR (2022)
Qing Xu, Xiaoming Xi, Xianjing Meng, Zheyun Qin, Xiushan Nie, Yongjian Wu, Dongsheng Zhou, Yi Qu, Chenglong Li, Yilong Yin
Difficulty-aware bi-network with spatial attention constrained graph for axillary lymph node segmentation. Sci. China Inf. Sci. 65 (9) (2022)
Gen Luo, Yiyi Zhou, Jiamu Sun, Shubin Huang, Xiaoshuai Sun, Qixiang Ye, Yongjian Wu, Rongrong Ji
What Goes beyond Multi-modal Fusion in One-stage Referring Expression Comprehension: An Empirical Study. CoRR (2022)
Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks. ECCV (18) (2022)
Yunhang Shen, Liujuan Cao, Zhiwei Chen, Baochang Zhang, Chi Su, Yongjian Wu, Feiyue Huang, Rongrong Ji
Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation. ICCV (2021)
Qiong Wu, Pingyang Dai, Jie Chen, Chia-Wen Lin, Yongjian Wu, Feiyue Huang, Bineng Zhong, Rongrong Ji
Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification. CVPR (2021)
Yunhang Shen, Liujuan Cao, Zhiwei Chen, Feihong Lian, Baochang Zhang, Chi Su, Yongjian Wu, Feiyue Huang, Rongrong Ji
Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation. CVPR (2021)
Yuxin Zhang, Mingbao Lin, Fei Chao, Yan Wang, Yongjian Wu, Feiyue Huang, Mingliang Xu, Yonghong Tian, Rongrong Ji
Lottery Jackpots Exist in Pre-trained Models. CoRR (2021)
Shaohuai Shi, Xianhao Zhou, Shutao Song, Xingyao Wang, Zilin Zhu, Xue Huang, Xinan Jiang, Feihu Zhou, Zhenyu Guo, Liqiang Xie, Rui Lan, Xianbin Ouyang, Yan Zhang, Jieqian Wei, Jing Gong, Weiliang Lin, Ping Gao, Peng Meng, Xiaomin Xu, Chenyang Guo, Bo Yang, Zhibo Chen, Yongjian Wu, Xiaowen Chu
Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters. MLSys (2021)
Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji
Image-to-image Translation via Hierarchical Style Disentanglement. CoRR (2021)
Mingbao Lin, Rongrong Ji, Shaojie Li, Yan Wang, Yongjian Wu, Feiyue Huang, Qixiang Ye
Non-Parametric Adaptive Network Pruning. CoRR (2021)
Yuhan Wang, Xu Chen, Junwei Zhu, Wenqing Chu, Ying Tai, Chengjie Wang, Jilin Li, Yongjian Wu, Feiyue Huang, Rongrong Ji
HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping. CoRR (2021)
Jiayi Ji, Yunpeng Luo, Xiaoshuai Sun, Fuhai Chen, Gen Luo, Yongjian Wu, Yue Gao, Rongrong Ji
Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network. AAAI (2021)
Jie Li, Rongrong Ji, Peixian Chen, Baochang Zhang, Xiaopeng Hong, Ruixin Zhang, Shaoxin Li, Jilin Li, Feiyue Huang, Yongjian Wu
Aha! Adaptive History-driven Attack for Decision-based Black-box Models. ICCV (2021)
Shaojie Li, Mingbao Lin, Yan Wang, Feiyue Huang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji
Distilling a Powerful Student Model via Online Knowledge Distillation. CoRR (2021)
Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Feiyue Huang, Yongjian Wu, Yonghong Tian, Rongrong Ji
Carrying out CNN Channel Pruning in a White Box. CoRR (2021)
Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji
Image-to-Image Translation via Hierarchical Style Disentanglement. CVPR (2021)
Yuhan Wang, Xu Chen, Junwei Zhu, Wenqing Chu, Ying Tai, Chengjie Wang, Jilin Li, Yongjian Wu, Feiyue Huang, Rongrong Ji
HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping. IJCAI (2021)
Yunpeng Luo, Jiayi Ji, Xiaoshuai Sun, Liujuan Cao, Yongjian Wu, Feiyue Huang, Chia-Wen Lin, Rongrong Ji
Dual-Level Collaborative Transformer for Image Captioning. CoRR (2021)
Xianming Lin, Run Li, Xiawu Zheng, Pai Peng, Yongjian Wu, Feiyue Huang, Rongrong Ji
Aggregating Global and Local Visual Representation for Vehicle Re-IDentification. IEEE Trans. Multim. 23 (2021)
Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Feiyue Huang, Rongrong Ji
Fine-grained Data Distribution Alignment for Post-Training Quantization. CoRR (2021)
Yunpeng Luo, Jiayi Ji, Xiaoshuai Sun, Liujuan Cao, Yongjian Wu, Feiyue Huang, Chia-Wen Lin, Rongrong Ji
Dual-level Collaborative Transformer for Image Captioning. AAAI (2021)
Yixu Wang, Jie Li, Hong Liu, Yongjian Wu, Rongrong Ji
Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack. CoRR (2021)
Xuying Zhang, Xiaoshuai Sun, Yunpeng Luo, Jiayi Ji, Yiyi Zhou, Yongjian Wu, Feiyue Huang, Rongrong Ji
RSTNet: Captioning With Adaptive Attention on Visual and Non-Visual Words. CVPR (2021)
Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Xinghao Ding, Yongjian Wu, Feiyue Huang, Yue Gao, Rongrong Ji
Towards Language-guided Visual Recognition via Dynamic Convolutions. CoRR (2021)
Zhiwei Chen, Liujuan Cao, Yunhang Shen, Feihong Lian, Yongjian Wu, Rongrong Ji
E2Net: Excitative-Expansile Learning for Weakly Supervised Object Localization. ACM Multimedia (2021)
Yunhang Shen, Rongrong Ji, Zhiwei Chen, Yongjian Wu, Feiyue Huang
UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection. NeurIPS (2020)
Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao
Interpretable Neural Network Decoupling. ECCV (15) (2020)
Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian
Channel Pruning via Automatic Structure Search. CoRR (2020)
Sumaira Hussain, Xiaoming Xi, Inam Ullah, Yongjian Wu, Chunxiao Ren, Zhao Lianzheng, Cuihuan Tian, Yilong Yin
Contextual Level-Set Method for Breast Tumor Segmentation. IEEE Access 8 (2020)
Shaojie Li, Mingbao Lin, Yan Wang, Mingliang Xu, Feiyue Huang, Yongjian Wu, Ling Shao, Rongrong Ji
Learning Efficient GANs using Differentiable Masks and co-Attention Distillation. CoRR (2020)
Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Yan Wang, Yongjian Wu, Feiyue Huang, Chia-Wen Lin
Rotated Binary Neural Network. CoRR (2020)
Shaohuai Shi, Xianhao Zhou, Shutao Song, Xingyao Wang, Zilin Zhu, Xue Huang, Xinan Jiang, Feihu Zhou, Zhenyu Guo, Liqiang Xie, Rui Lan, Xianbin Ouyang, Yan Zhang, Jieqian Wei, Jing Gong, Weiliang Lin, Ping Gao, Peng Meng, Xiaomin Xu, Chenyang Guo, Bo Yang, Zhibo Chen, Yongjian Wu, Xiaowen Chu
Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters. CoRR (2020)
Jiayi Ji, Yunpeng Luo, Xiaoshuai Sun, Fuhai Chen, Gen Luo, Yongjian Wu, Yue Gao, Rongrong Ji
Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network. CoRR (2020)
Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian
Channel Pruning via Automatic Structure Search. IJCAI (2020)
Rongrong Ji, Ke Li, Yan Wang, Xiaoshuai Sun, Feng Guo, Xiaowei Guo, Yongjian Wu, Feiyue Huang, Jiebo Luo
Semi-Supervised Adversarial Monocular Depth Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 42 (10) (2020)
Xiaoshuai Sun, Xuying Zhang, Liujuan Cao, Yongjian Wu, Feiyue Huang, Rongrong Ji
Exploring Language Prior for Mode-Sensitive Visual Attention Modeling. ACM Multimedia (2020)
Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Yan Wang, Yongjian Wu, Feiyue Huang, Chia-Wen Lin
Rotated Binary Neural Network. NeurIPS (2020)
Yongjian Wu, Xiaoming Xi, Xianjing Meng, Xiushan Nie, Yanwei Ren, Guang Zhang, Cuihuan Tian, Yilong Yin
Label-Distribution Learning-Embedded Active Contour Model for Breast Tumor Segmentation. IEEE Access 7 (2019)
Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David S. Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression. CVPR (2019)
Yunhang Shen, Rongrong Ji, Yan Wang, Yongjian Wu, Liujuan Cao
Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation. CVPR (2019)
Xiawu Zheng, Rongrong Ji, Lang Tang, Yan Wan, Baochang Zhang, Yongjian Wu, Yunsheng Wu, Ling Shao
Dynamic Distribution Pruning for Efficient Network Architecture Search. CoRR (2019)
Guang Zhang, Shuhao Dong, Hui Xu, Hongyu Zhang, Yongjian Wu, Yanwei Zhang, Xiaoming Xi, Yilong Yin
Correction Learning for Medical Image Segmentation. IEEE Access 7 (2019)
Hong Liu, Jie Li, Yongjian Wu, Rongrong Ji
Learning Neural Bag-of-Matrix-Summarization with Riemannian Network. AAAI (2019)
Yongwei Gao, Bilei Zhu, Wei Li, Ke Li, Yongjian Wu, Feiyue Huang
Vocal Melody Extraction via DNN-based Pitch Estimation and Salience-based Pitch Refinement. ICASSP (2019)
Yunhang Shen, Rongrong Ji, Xiaopeng Hong, Feng Zheng, Xiaowei Guo, Yongjian Wu, Feiyue Huang
A Part Power Set Model for Scale-Free Person Retrieval. IJCAI (2019)
Fuhai Chen, Rongrong Ji, Jiayi Ji, Xiaoshuai Sun, Baochang Zhang, Xuri Ge, Yongjian Wu, Feiyue Huang, Yan Wang
Variational Structured Semantic Inference for Diverse Image Captioning. NeurIPS (2019)
Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao
Dynamic Neural Network Decoupling. CoRR (2019)
Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Yunsheng Wu
Towards Optimal Discrete Online Hashing with Balanced Similarity. CoRR (2019)
Hong Liu, Rongrong Ji, Jie Li, Baochang Zhang, Yue Gao, Yongjian Wu, Feiyue Huang
Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation. ICCV (2019)
Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Yunsheng Wu
Towards Optimal Discrete Online Hashing with Balanced Similarity. AAAI (2019)
Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Yongjian Wu, Feiyue Huang
Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer. AAAI (2019)
Mingbao Lin, Rongrong Ji, Hong Liu, Yongjian Wu
Supervised Online Hashing via Hadamard Codebook Learning. CoRR (2019)
Rongrong Ji, Ke Li, Yan Wang, Xiaoshuai Sun, Feng Guo, Xiaowei Guo, Yongjian Wu, Feiyue Huang, Jiebo Luo
Semi-Supervised Adversarial Monocular Depth Estimation. CoRR (2019)
Yanzhou Su, Yongjian Wu, Min Wang, Feng Wang, Jian Cheng
Semantic Segmentation of High Resolution Remote Sensing Image Based on Batch-Attention Mechanism. IGARSS (2019)
Wen Wang, Yongjian Wu, Haijun Liu, Shiguang Wang, Jian Cheng
Temporal Action Detection by Joint Identification-Verification. CoRR (2018)

Yongjian Wu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Yongjian Wu