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ORCIDRongrong Ji
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- affiliation: Xiamen University, Xiamen, China
- affiliation: Columbia University, New York, NY, USA
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2020 – today
- 2023
[j155]Boyu Yang
, Mingbao Lin, Yunxiao Zhang, Binghao Liu, Xiaodan Liang, Rongrong Ji, Qixiang Ye:
Dynamic Support Network for Few-Shot Class Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2945-2951 (2023)- [j154]Yue Gao, Yifan Feng, Shuyi Ji, Rongrong Ji:
HGNN+: General Hypergraph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3181-3199 (2023) - [j153]Mingbao Lin, Yuxin Zhang, Yuchao Li, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Yonghong Tian, Rongrong Ji:
1xN Pattern for Pruning Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 3999-4008 (2023) - [j152]Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, Rongrong Ji, Zhenjun Tang, Xianxian Li:
SiamBAN: Target-Aware Tracking With Siamese Box Adaptive Network. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5158-5173 (2023) - [j151]Yiyi Zhou, Rongrong Ji, Gen Luo, Xiaoshuai Sun, Jinsong Su, Xinghao Ding, Chia-Wen Lin, Qi Tian:
A Real-Time Global Inference Network for One-Stage Referring Expression Comprehension. IEEE Trans. Neural Networks Learn. Syst. 34(1): 134-143 (2023) - [c262]Zequan Xu, Lianyun Li, Hui Li, Qihang Sun, Shaofeng Hu, Rongrong Ji:
Self-supervised Graph Representation Learning for Black Market Account Detection. WSDM 2023: 330-338 - [i152]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 abs/2301.12439 (2023) - [i151]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 abs/2302.00884 (2023) - [i150]Lei Tan, Pingyang Dai, Qixiang Ye, Mingliang Xu, Yongjian Wu, Rongrong Ji:
Spectral Aware Softmax for Visible-Infrared Person Re-Identification. CoRR abs/2302.01512 (2023) - [i149]Yuxin Zhang, Mingbao Lin, Xunchao Li, Han Liu, Guozhi Wang, Fei Chao, Shuai Ren, Yafei Wen, Xiaoxin Chen, Rongrong Ji:
Real-Time Image Demoireing on Mobile Devices. CoRR abs/2302.02184 (2023) - [i148]Yuxin Zhang, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji:
Bi-directional Masks for Efficient N: M Sparse Training. CoRR abs/2302.06058 (2023) - [i147]Yiwei Ma, Jiayi Ji, Xiaoshuai Sun, Yiyi Zhou, Rongrong Ji:
Towards Local Visual Modeling for Image Captioning. CoRR abs/2302.06098 (2023) - [i146]Gen Luo, Minglang Huang, Yiyi Zhou, Xiaoshuai Sun, Guannan Jiang, Zhiyu Wang, Rongrong Ji:
Towards Efficient Visual Adaption via Structural Re-parameterization. CoRR abs/2302.08106 (2023) - [i145]Gen Luo, Yiyi Zhou, Lei Jin, Xiaoshuai Sun, Rongrong Ji:
Towards End-to-end Semi-supervised Learning for One-stage Object Detection. CoRR abs/2302.11299 (2023) - [i144]Suhang Ye, Yingyi Zhang, Jie Hu, Liujuan Cao, Shengchuan Zhang, Lei Shen, Jun Wang, Shouhong Ding, Rongrong Ji:
DistilPose: Tokenized Pose Regression with Heatmap Distillation. CoRR abs/2303.02455 (2023) - [i143]Peng Mi, Jianghang Lin, Yiyi Zhou, Yunhang Shen, Gen Luo, Xiaoshuai Sun, Liujuan Cao, Rongrong Fu, Qiang Xu, Rongrong Ji:
Active Teacher for Semi-Supervised Object Detection. CoRR abs/2303.08348 (2023) - [i142]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 abs/2303.10976 (2023) - [i141]Yuexiao Ma, Huixia Li, Xiawu Zheng, Xuefeng Xiao, Rui Wang, Shilei Wen, Xin Pan, Fei Chao, Rongrong Ji:
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective. CoRR abs/2303.11906 (2023) - 2022
- [j150]Taisong Jin, Huaqiang Dai, Liujuan Cao, Baochang Zhang, Feiyue Huang, Yue Gao, Rongrong Ji:
Deepwalk-aware graph convolutional networks. Sci. China Inf. Sci. 65(5): 1-15 (2022) - [j149]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): 177-193 (2022) - [j148]Yiyi Zhou, Rongrong Ji, Xiaoshuai Sun, Jinsong Su, Deyu Meng, Yue Gao, Chunhua Shen:
Plenty is Plague: Fine-Grained Learning for Visual Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 697-709 (2022) - [j147]Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao:
Fast Class-Wise Updating for Online Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2453-2467 (2022) - [j146]Pingyang Dai, Peixian Chen, Qiong Wu, Xiaopeng Hong, Qixiang Ye, Qi Tian, Chia-Wen Lin, Rongrong Ji:
Disentangling Task-Oriented Representations for Unsupervised Domain Adaptation. IEEE Trans. Image Process. 31: 1012-1026 (2022) - [j145]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: 3386-3398 (2022) - [j144]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: 4321-4335 (2022) - [j143]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: 4356-4366 (2022) - [j142]Qinqin Zhou, Bineng Zhong, Xin Liu, Rongrong Ji:
Attention-Based Neural Architecture Search for Person Re-Identification. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6627-6639 (2022) - [j141]Mingbao Lin, Liujuan Cao, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian, Rongrong Ji:
Filter Sketch for Network Pruning. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7091-7100 (2022) - [j140]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): 7357-7366 (2022) - [c261]Shuman Fang, Jie Li, Xianming Lin, Rongrong Ji:
Learning to Learn Transferable Attack. AAAI 2022: 571-579 - [c260]Ke Sun, Taiping Yao, Shen Chen, Shouhong Ding, Jilin Li, Rongrong Ji:
Dual Contrastive Learning for General Face Forgery Detection. AAAI 2022: 2316-2324 - [c259]Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji:
Training-free Transformer Architecture Search. CVPR 2022: 10884-10893 - [c258]Xiawu Zheng, Xiang Fei, Lei Zhang, Chenglin Wu, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Rongrong Ji:
Neural Architecture Search with Representation Mutual Information. CVPR 2022: 11902-11911 - [c257]Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji:
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization. CVPR 2022: 12329-12338 - [c256]Peng Mi, Jianghang Lin, Yiyi Zhou, Yunhang Shen, Gen Luo, Xiaoshuai Sun, Liujuan Cao, Rongrong Fu, Qiang Xu, Rongrong Ji:
Active Teacher for Semi-Supervised Object Detection. CVPR 2022: 14462-14471 - [c255]Mingrui Wu, Xuying Zhang, Xiaoshuai Sun, Yiyi Zhou, Chao Chen, Jiaxin Gu, Xing Sun, Rongrong Ji:
DIFNet: Boosting Visual Information Flow for Image Captioning. CVPR 2022: 17999-18008 - [c254]Hui Lin, Zhiheng Ma, Rongrong Ji, Yaowei Wang, Xiaopeng Hong:
Boosting Crowd Counting via Multifaceted Attention. CVPR 2022: 19596-19605 - [c253]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: 1-18 - [c252]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: 70-86 - [c251]Ke Sun, Hong Liu, Taiping Yao, Xiaoshuai Sun, Shen Chen, Shouhong Ding, Rongrong Ji:
An Information Theoretic Approach for Attention-Driven Face Forgery Detection. ECCV (14) 2022: 111-127 - [c250]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: 192-208 - [c249]Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji:
ARM: Any-Time Super-Resolution Method. ECCV (19) 2022: 254-270 - [c248]Dongli Tan, Jiang-Jiang Liu, Xingyu Chen, Chao Chen, Ruixin Zhang, Yunhang Shen, Shouhong Ding, Rongrong Ji:
ECO-TR: Efficient Correspondences Finding via Coarse-to-Fine Refinement. ECCV (10) 2022: 317-334 - [c247]Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhen-Hua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang:
The Tenth Visual Object Tracking VOT2022 Challenge Results. ECCV Workshops (8) 2022: 431-460 - [c246]Jiazhen Ji, Huan Wang, Yuge Huang, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, Shengchuan Zhang, Liujuan Cao, Rongrong Ji:
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain. ECCV (12) 2022: 475-491 - [c245]Chaoyang Zhu, Yiyi Zhou, Yunhang Shen, Gen Luo, Xingjia Pan, Mingbao Lin, Chao Chen, Liujuan Cao, Xiaoshuai Sun, Rongrong Ji:
SeqTR: A Simple Yet Universal Network for Visual Grounding. ECCV (35) 2022: 598-615 - [c244]Jing He, Yiyi Zhou, Qi Zhang, Jun Peng, Yunhang Shen, Xiaoshuai Sun, Chao Chen, Rongrong Ji:
PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation. ECCV (14) 2022: 643-660 - [c243]Guangge Wang, Weirong Ye, Xiao Wang, Rongrong Ji, Hanzi Wang:
Visual Tempo Contrastive Learning for Few-Shot Action Recognition. ICIP 2022: 1096-1100 - [c242]Rongrong Ji, Weirong Ye, Xiao Wang, Yan Yan, Hanzi Wang:
MDNet: Motion Distinction Network for Effective Action Recognition. ICIP 2022: 3236-3240 - [c241]Lei Tan, Pingyang Dai, Rongrong Ji, Yongjian Wu:
Dynamic Prototype Mask for Occluded Person Re-Identification. ACM Multimedia 2022: 531-540 - [c240]Yiwei Ma, Guohai Xu, Xiaoshuai Sun, Ming Yan, Ji Zhang, Rongrong Ji:
X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval. ACM Multimedia 2022: 638-647 - [c239]Xudong Mao, Liujuan Cao, Aurele Tohokantche Gnanha, Zhenguo Yang, Qing Li, Rongrong Ji:
Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editability. ACM Multimedia 2022: 2032-2041 - [c238]Haojia Lin, Lijiang Li, Xiawu Zheng, Fei Chao, Rongrong Ji:
Searching Lightweight Neural Network for Image Signal Processing. ACM Multimedia 2022: 2825-2833 - [c237]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: 5045-5054 - [c236]Jun Peng, Xiaoxiong Du, Yiyi Zhou, Jing He, Yunhang Shen, Xiaoshuai Sun, Rongrong Ji:
Learning Dynamic Prior Knowledge for Text-to-Face Pixel Synthesis. ACM Multimedia 2022: 5132-5141 - [i140]Tianshuo Xu, Peng Mi, Xiawu Zheng, Lijiang Li, Fei Chao, Guannan Jiang, Wei Zhang, Yiyi Zhou, Rongrong Ji:
What Hinders Perceptual Quality of PSNR-oriented Methods? CoRR abs/2201.01034 (2022) - [i139]Zhengying Liu, Adrien Pavao, Zhen Xu, Sergio Escalera, Fabio Ferreira, Isabelle Guyon, Sirui Hong, Frank Hutter, Rongrong Ji, Júlio C. S. Jacques Júnior, Ge Li, Marius Lindauer, Zhipeng Luo, Meysam Madadi, Thomas Nierhoff, Kangning Niu, Chunguang Pan, Danny Stoll, Sébastien Treguer, Jin Wang, Peng Wang, Chenglin Wu, Youcheng Xiong, Arber Zela, Yang Zhang:
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019. CoRR abs/2201.03801 (2022) - [i138]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 abs/2201.12826 (2022) - [i137]Mingbao Lin, Liujuan Cao, Yuxin Zhang, Ling Shao, Chia-Wen Lin, Rongrong Ji:
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters. CoRR abs/2202.07190 (2022) - [i136]Hui Lin, Zhiheng Ma, Rongrong Ji, Yaowei Wang, Xiaopeng Hong:
Boosting Crowd Counting via Multifaceted Attention. CoRR abs/2203.02636 (2022) - [i135]Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji:
Coarse-to-Fine Vision Transformer. CoRR abs/2203.03821 (2022) - [i134]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 abs/2203.03844 (2022) - [i133]Fuhai Chen, Xiaoshuai Sun, Xuri Ge, Jianzhuang Liu, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Differentiated Relevances Embedding for Group-based Referring Expression Comprehension. CoRR abs/2203.06382 (2022) - [i132]Fuhai Chen, Rongrong Ji, Chengpeng Dai, Xuri Ge, Shengchuan Zhang, Xiaojing Ma, Yue Gao:
Factored Attention and Embedding for Unstructured-view Topic-related Ultrasound Report Generation. CoRR abs/2203.06458 (2022) - [i131]Chengpeng Dai, Fuhai Chen, Xiaoshuai Sun, Rongrong Ji, Qixiang Ye, Yongjian Wu:
Global2Local: A Joint-Hierarchical Attention for Video Captioning. CoRR abs/2203.06663 (2022) - [i130]Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji:
ARM: Any-Time Super-Resolution Method. CoRR abs/2203.10812 (2022) - [i129]Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji:
Training-free Transformer Architecture Search. CoRR abs/2203.12217 (2022) - [i128]Chaoyang Zhu, Yiyi Zhou, Yunhang Shen, Gen Luo, Xingjia Pan, Mingbao Lin, Chao Chen, Liujuan Cao, Xiaoshuai Sun, Rongrong Ji:
SeqTR: A Simple yet Universal Network for Visual Grounding. CoRR abs/2203.16265 (2022) - [i127]Jing He, Yiyi Zhou, Qi Zhang, Yunhang Shen, Xiaoshuai Sun, Chao Chen, Rongrong Ji:
PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation. CoRR abs/2204.00833 (2022) - [i126]Mingrui Wu, Jiaxin Gu, Yunhang Shen, Mingbao Lin, Chao Chen, Xiaoshuai Sun, Rongrong Ji:
End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation. CoRR abs/2204.03541 (2022) - [i125]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 abs/2204.07780 (2022) - [i124]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 abs/2204.07913 (2022) - [i123]Shaohui Lin, Bo Ji, Rongrong Ji, Angela Yao:
A Closer Look at Branch Classifiers of Multi-exit Architectures. CoRR abs/2204.13347 (2022) - [i122]Yimin Xu, Mingbao Lin, Hong Yang, Ke Li, Yunhang Shen, Fei Chao, Rongrong Ji:
Shadow-Aware Dynamic Convolution for Shadow Removal. CoRR abs/2205.04908 (2022) - [i121]Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Ke Li, Yunhang Shen, Chunhua Shen, Rongrong Ji:
Super Vision Transformer. CoRR abs/2205.11397 (2022) - [i120]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 abs/2206.06662 (2022) - [i119]Yiwei Ma, Guohai Xu, Xiaoshuai Sun, Ming Yan, Ji Zhang, Rongrong Ji:
X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval. CoRR abs/2207.07285 (2022) - [i118]Jiazhen Ji, Huan Wang, Yuge Huang, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, Shengchuan Zhang, Liujuan Cao, Rongrong Ji:
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain. CoRR abs/2207.07316 (2022) - [i117]Jingjia Huang, Yinan Li, Jiashi Feng, Xiaoshuai Sun, Rongrong Ji:
Clover: Towards A Unified Video-Language Alignment and Fusion Model. CoRR abs/2207.07885 (2022) - [i116]Lei Tan, Pingyang Dai, Rongrong Ji, Yongjian Wu:
Dynamic Prototype Mask for Occluded Person Re-Identification. CoRR abs/2207.09046 (2022) - [i115]Xudong Mao, Liujuan Cao, Aurele Tohokantche Gnanha, Zhenguo Yang, Qing Li, Rongrong Ji:
Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editability. CoRR abs/2207.09367 (2022) - [i114]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 abs/2208.09844 (2022) - [i113]Hong Yang, Gongrui Nan, Mingbao Lin, Fei Chao, Yunhang Shen, Ke Li, Rongrong Ji:
LAB-Net: LAB Color-Space Oriented Lightweight Network for Shadow Removal. CoRR abs/2208.13039 (2022) - [i112]Xingbin Liu, Jinghao Zhou, Tao Kong, Xianming Lin, Rongrong Ji:
Exploring Target Representations for Masked Autoencoders. CoRR abs/2209.03917 (2022) - [i111]Dongli Tan, Jiang-Jiang Liu, Xingyu Chen, Chao Chen, Ruixin Zhang, Yunhang Shen, Shouhong Ding, Rongrong Ji:
ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement. CoRR abs/2209.12213 (2022) - [i110]Peng Mi, Li Shen, Tianhe Ren, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji, Dacheng Tao:
Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach. CoRR abs/2210.05177 (2022) - [i109]Yunshan Zhong, Mingbao Lin, Yuxin Zhang, Gongrui Nan, Fei Chao, Rongrong Ji:
Exploiting the Partly Scratch-off Lottery Ticket for Quantization-Aware Training. CoRR abs/2211.08544 (2022) - [i108]Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji:
Meta Architecure for Point Cloud Analysis. CoRR abs/2211.14462 (2022) - [i107]Zequan Xu, Lianyun Li, Hui Li, Qihang Sun, Shaofeng Hu, Rongrong Ji:
Self-supervised Graph Representation Learning for Black Market Account Detection. CoRR abs/2212.02679 (2022) - [i106]Yunshan Zhong, Mingbao Lin, Lizhou You, Yuxin Zhang, Luoqi Liu, Rongrong Ji:
Shadow Removal by High-Quality Shadow Synthesis. CoRR abs/2212.04108 (2022) - [i105]Lizhou You, Mingbao Lin, Tie Hu, Fei Chao, Rongrong Ji:
Exploring Content Relationships for Distilling Efficient GANs. CoRR abs/2212.11091 (2022) - [i104]Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji:
SMMix: Self-Motivated Image Mixing for Vision Transformers. CoRR abs/2212.12977 (2022) - [i103]Tie Hu, Mingbao Lin, Lizhou You, Fei Chao, Rongrong Ji:
Discriminator-Cooperated Feature Map Distillation for GAN Compression. CoRR abs/2212.14169 (2022) - 2021
- [j139]Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, Rongrong Ji, David S. Doermann, Guodong Guo:
Binarized Neural Architecture Search for Efficient Object Recognition. Int. J. Comput. Vis. 129(2): 501-516 (2021) - [j138]Ming Yin, Wei Liu, Mingsuo Li, Taisong Jin, Rongrong Ji:
Cauchy loss induced block diagonal representation for robust multi-view subspace clustering. Neurocomputing 427: 84-95 (2021) - [j137]Jipeng Wu, Rongrong Ji, Jianzhuang Liu, Mingliang Xu, Jiawen Zheng, Ling Shao, Qi Tian:
Real-time semantic segmentation via sequential knowledge distillation. Neurocomputing 439: 134-145 (2021) - [j136]Xiawu Zheng, Rongrong Ji, Yuhang Chen, Qiang Wang, Baochang Zhang, Jie Chen, Qixiang Ye, Feiyue Huang, Yonghong Tian:
MIGO-NAS: Towards Fast and Generalizable Neural Architecture Search. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 2936-2952 (2021) - [j135]Xiawu Zheng, Yang Zhang, Sirui Hong, Huixia Li, Lang Tang, Youcheng Xiong, Jin Zhou, Yan Wang, Xiaoshuai Sun, Pengfei Zhu, Chenglin Wu, Rongrong Ji:
Evolving Fully Automated Machine Learning via Life-Long Knowledge Anchors. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3091-3107 (2021) - [j134]Zhengying Liu, Adrien Pavao, Zhen Xu, Sergio Escalera, Fabio Ferreira, Isabelle Guyon, Sirui Hong, Frank Hutter, Rongrong Ji, Júlio C. S. Jacques Júnior, Ge Li, Marius Lindauer, Zhipeng Luo, Meysam Madadi, Thomas Nierhoff, Kangning Niu, Chunguang Pan, Danny Stoll, Sébastien Treguer, Jin Wang, Peng Wang, Chenglin Wu, Youcheng Xiong, Arber Zela, Yang Zhang:
Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3108-3125 (2021) - [j133]Jipeng Wu, Haibo Xu, Shengchuan Zhang, Xi Li, Jie Chen, Jiawen Zheng, Yue Gao, Yonghong Tian, Yongsheng Liang, Rongrong Ji:
Joint segmentation and detection of COVID-19 via a sequential region generation network. Pattern Recognit. 118: 108006 (2021) - [j132]Mingliang Xu, Fuhai Chen, Lu Li, Chen Shen, Pei Lv, Bing Zhou, Rongrong Ji:
Bio-Inspired Deep Attribute Learning Towards Facial Aesthetic Prediction. IEEE Trans. Affect. Comput. 12(1): 227-238 (2021) - [j131]Wenjie Ding, Xing Wei, Rongrong Ji, Xiaopeng Hong, Qi Tian, Yihong Gong:
Beyond Universal Person Re-Identification Attack. IEEE Trans. Inf. Forensics Secur. 16: 3442-3455 (2021) - [j130]Yiyi Zhou, Rongrong Ji, Jinsong Su, Jiaquan Yao:
Uncovering Media Bias via Social Network Learning. ACM Trans. Intell. Syst. Technol. 12(1): 12:1-12:12 (2021) - [j129]