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2020 – today
- 2022
[j11]Jingdong Wang, Zhuowen Tu, Jianlong Fu
, Nicu Sebe, Serge J. Belongie:
Guest Editorial: Introduction to the Special Section on Fine-Grained Visual Categorization. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 560-562 (2022)- [i45]Chengxu Liu, Huan Yang, Jianlong Fu, Xueming Qian:
Learning Trajectory-Aware Transformer for Video Super-Resolution. CoRR abs/2204.04216 (2022) - [i44]Jinnian Zhang, Houwen Peng, Kan Wu, Mengchen Liu, Bin Xiao, Jianlong Fu, Lu Yuan:
MiniViT: Compressing Vision Transformers with Weight Multiplexing. CoRR abs/2204.07154 (2022) - 2021
- [j10]Ying Liu, Qiqi Liu, JiuLun Fan, Fuping Wang, Jianlong Fu, Yuan Qingan, Tuan Kiang Chiew, Nam Ling:
Tyre pattern image retrieval - current status and challenges. Connect. Sci. 33(2): 237-255 (2021) - [j9]Chengxu Liu, Yuanzhi Liang, Yao Xue, Xueming Qian, Jianlong Fu:
Food and Ingredient Joint Learning for Fine-Grained Recognition. IEEE Trans. Circuits Syst. Video Technol. 31(6): 2480-2493 (2021) - [j8]Zhaoyang Zeng, Bei Liu, Jianlong Fu, Hongyang Chao:
Reference-Based Defect Detection Network. IEEE Trans. Image Process. 30: 6637-6647 (2021) - [c59]Zhicheng Huang, Zhaoyang Zeng, Yupan Huang, Bei Liu, Dongmei Fu, Jianlong Fu:
Seeing Out of the Box: End-to-End Pre-Training for Vision-Language Representation Learning. CVPR 2021: 12976-12985 - [c58]Bin Yan, Houwen Peng, Kan Wu, Dong Wang, Jianlong Fu, Huchuan Lu:
LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search. CVPR 2021: 15180-15189 - [c57]Minghao Chen, Jianlong Fu, Haibin Ling:
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking. CVPR 2021: 16530-16539 - [c56]Kan Wu, Houwen Peng, Minghao Chen, Jianlong Fu, Hongyang Chao:
Rethinking and Improving Relative Position Encoding for Vision Transformer. ICCV 2021: 10013-10021 - [c55]Heliang Zheng, Huan Yang, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo:
Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment. ICCV 2021: 10222-10231 - [c54]Bin Yan, Houwen Peng, Jianlong Fu, Dong Wang, Huchuan Lu:
Learning Spatio-Temporal Transformer for Visual Tracking. ICCV 2021: 10428-10437 - [c53]Minghao Chen, Houwen Peng, Jianlong Fu, Haibin Ling:
AutoFormer: Searching Transformers for Visual Recognition. ICCV 2021: 12250-12260 - [c52]Kibeom Hong, Seogkyu Jeon, Huan Yang, Jianlong Fu, Hyeran Byun:
Domain-Aware Universal Style Transfer. ICCV 2021: 14589-14597 - [c51]Bei Liu, Jianlong Fu, Shizhe Chen, Qin Jin, Alexander G. Hauptmann, Yong Rui:
MMPT'21: International Joint Workshop on Multi-Modal Pre-Training for Multimedia Understanding. ICMR 2021: 694-695 - [c50]Hongwei Xue, Bei Liu, Huan Yang, Jianlong Fu, Houqiang Li, Jiebo Luo:
Learning Fine-Grained Motion Embedding for Landscape Animation. ACM Multimedia 2021: 291-299 - [c49]Yupan Huang, Bei Liu, Jianlong Fu, Yutong Lu:
A Picture is Worth a Thousand Words: A Unified System for Diverse Captions and Rich Images Generation. ACM Multimedia 2021: 2792-2794 - [c48]Hongwei Xue, Yupan Huang, Bei Liu, Houwen Peng, Jianlong Fu, Houqiang Li, Jiebo Luo:
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-and-Language Pre-training. NeurIPS 2021: 4514-4528 - [c47]Minghao Chen, Kan Wu, Bolin Ni, Houwen Peng, Bei Liu, Jianlong Fu, Hongyang Chao, Haibin Ling:
Searching the Search Space of Vision Transformer. NeurIPS 2021: 8714-8726 - [c46]Yanhong Zeng, Huan Yang, Hongyang Chao, Jianbo Wang, Jianlong Fu:
Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers. NeurIPS 2021: 21125-21137 - [e1]Bei Liu, Jianlong Fu, Shizhe Chen, Qin Jin, Alexander G. Hauptmann, Yong Rui:
MMPT@ICMR2021: Proceedings of the 2021 Workshop on Multi-Modal Pre-Training for Multimedia Understanding, Taipei, Taiwan, August 21, 2021. ACM 2021, ISBN 978-1-4503-8530-5 [contents] - [i43]Bin Yan, Houwen Peng, Jianlong Fu, Dong Wang, Huchuan Lu:
Learning Spatio-Temporal Transformer for Visual Tracking. CoRR abs/2103.17154 (2021) - [i42]Minghao Chen, Houwen Peng, Jianlong Fu, Haibin Ling:
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking. CoRR abs/2104.00597 (2021) - [i41]Yanhong Zeng, Jianlong Fu, Hongyang Chao, Baining Guo:
Aggregated Contextual Transformations for High-Resolution Image Inpainting. CoRR abs/2104.01431 (2021) - [i40]Yanhong Zeng, Jianlong Fu, Hongyang Chao:
3D Human Body Reshaping with Anthropometric Modeling. CoRR abs/2104.01762 (2021) - [i39]Zhicheng Huang, Zhaoyang Zeng, Yupan Huang, Bei Liu, Dongmei Fu, Jianlong Fu:
Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning. CoRR abs/2104.03135 (2021) - [i38]Bin Yan, Houwen Peng, Kan Wu, Dong Wang, Jianlong Fu, Huchuan Lu:
LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search. CoRR abs/2104.14545 (2021) - [i37]Hongwei Xue, Yupan Huang, Bei Liu, Houwen Peng, Jianlong Fu, Houqiang Li, Jiebo Luo:
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-Language Pre-training. CoRR abs/2106.13488 (2021) - [i36]Minghao Chen, Houwen Peng, Jianlong Fu, Haibin Ling:
AutoFormer: Searching Transformers for Visual Recognition. CoRR abs/2107.00651 (2021) - [i35]Kan Wu, Houwen Peng, Minghao Chen, Jianlong Fu, Hongyang Chao:
Rethinking and Improving Relative Position Encoding for Vision Transformer. CoRR abs/2107.14222 (2021) - [i34]Kibeom Hong, Seogkyu Jeon, Huan Yang, Jianlong Fu, Hyeran Byun:
Domain-Aware Universal Style Transfer. CoRR abs/2108.04441 (2021) - [i33]Zhaoyang Zeng, Bei Liu, Jianlong Fu, Hongyang Chao:
Reference-based Defect Detection Network. CoRR abs/2108.04456 (2021) - [i32]Heliang Zheng, Huan Yang, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo:
Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment. CoRR abs/2108.07948 (2021) - [i31]Hongwei Xue, Bei Liu, Huan Yang, Jianlong Fu, Houqiang Li, Jiebo Luo:
Learning Fine-Grained Motion Embedding for Landscape Animation. CoRR abs/2109.02216 (2021) - [i30]Yupan Huang, Bei Liu, Jianlong Fu, Yutong Lu:
A Picture is Worth a Thousand Words: A Unified System for Diverse Captions and Rich Images Generation. CoRR abs/2110.09756 (2021) - [i29]Yanhong Zeng, Huan Yang, Hongyang Chao, Jianbo Wang, Jianlong Fu:
Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers. CoRR abs/2111.03481 (2021) - [i28]Hongwei Xue, Tiankai Hang, Yanhong Zeng, Yuchong Sun, Bei Liu, Huan Yang, Jianlong Fu, Baining Guo:
Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions. CoRR abs/2111.10337 (2021) - [i27]Minghao Chen, Kan Wu, Bolin Ni, Houwen Peng, Bei Liu, Jianlong Fu, Hongyang Chao, Haibin Ling:
Searching the Search Space of Vision Transformer. CoRR abs/2111.14725 (2021) - 2020
- [j7]Heliang Zheng, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo, Tao Mei:
Learning Rich Part Hierarchies With Progressive Attention Networks for Fine-Grained Image Recognition. IEEE Trans. Image Process. 29: 476-488 (2020) - [j6]Le Yang, Houwen Peng, Dingwen Zhang, Jianlong Fu, Junwei Han:
Revisiting Anchor Mechanisms for Temporal Action Localization. IEEE Trans. Image Process. 29: 8535-8548 (2020) - [c45]Zhongwei Qiu, Kai Qiu, Jianlong Fu, Dongmei Fu:
DGCN: Dynamic Graph Convolutional Network for Efficient Multi-Person Pose Estimation. AAAI 2020: 11924-11931 - [c44]Songyang Zhang, Houwen Peng, Jianlong Fu, Jiebo Luo:
Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language. AAAI 2020: 12870-12877 - [c43]Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji:
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. CVPR Workshops 2020: 2045-2057 - [c42]Fuzhi Yang, Huan Yang, Jianlong Fu, Hongtao Lu, Baining Guo:
Learning Texture Transformer Network for Image Super-Resolution. CVPR 2020: 5790-5799 - [c41]Yanhong Zeng, Jianlong Fu, Hongyang Chao:
Learning Joint Spatial-Temporal Transformations for Video Inpainting. ECCV (16) 2020: 528-543 - [c40]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhen-Hua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma:
The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) 2020: 547-601 - [c39]Zhipeng Zhang, Houwen Peng, Jianlong Fu, Bing Li, Weiming Hu:
Ocean: Object-Aware Anchor-Free Tracking. ECCV (21) 2020: 771-787 - [c38]Zhiyuan Hu, Jia Jia, Bei Liu, Yaohua Bu, Jianlong Fu:
Aesthetic-Aware Image Style Transfer. ACM Multimedia 2020: 3320-3329 - [c37]Houwen Peng, Hao Du, Hongyuan Yu, Qi Li, Jing Liao, Jianlong Fu:
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search. NeurIPS 2020 - [c36]Heliang Zheng, Jianlong Fu, Yanhong Zeng, Jiebo Luo, Zheng-Jun Zha:
Learning Semantic-aware Normalization for Generative Adversarial Networks. NeurIPS 2020 - [c35]Shih-Han Chou, Cheng Sun, Wen-Yen Chang, Wan Ting Hsu, Min Sun, Jianlong Fu:
360-Indoor: Towards Learning Real-World Objects in 360° Indoor Equirectangular Images. WACV 2020: 834-842 - [i26]Zhicheng Huang, Zhaoyang Zeng, Bei Liu, Dongmei Fu, Jianlong Fu:
Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal Transformers. CoRR abs/2004.00849 (2020) - [i25]Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji:
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. CoRR abs/2005.01056 (2020) - [i24]Fuzhi Yang, Huan Yang, Jianlong Fu, Hongtao Lu, Baining Guo:
Learning Texture Transformer Network for Image Super-Resolution. CoRR abs/2006.04139 (2020) - [i23]Yanhong Zeng, Jianlong Fu, Hongyang Chao:
Learning Joint Spatial-Temporal Transformations for Video Inpainting. CoRR abs/2007.10247 (2020) - [i22]Le Yang, Houwen Peng, Dingwen Zhang, Jianlong Fu, Junwei Han:
Revisiting Anchor Mechanisms for Temporal Action Localization. CoRR abs/2008.09837 (2020) - [i21]Houwen Peng, Hao Du, Hongyuan Yu, Qi Li, Jing Liao, Jianlong Fu:
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search. CoRR abs/2010.15821 (2020) - [i20]Songyang Zhang, Houwen Peng, Jianlong Fu, Yijuan Lu, Jiebo Luo:
Multi-Scale 2D Temporal Adjacent Networks for Moment Localization with Natural Language. CoRR abs/2012.02646 (2020)
2010 – 2019
- 2019
- [j5]Jongkwang Hong, Jianlong Fu, Youngjung Uh, Tao Mei, Hyeran Byun:
Exploiting hierarchical visual features for visual question answering. Neurocomputing 351: 187-195 (2019) - [j4]Dongfei Yu, Jianlong Fu, Xinmei Tian, Tao Mei:
Multi-source Multi-level Attention Networks for Visual Question Answering. ACM Trans. Multim. Comput. Commun. Appl. 15(2s): 51:1-51:20 (2019) - [j3]Jinhui Tang, Jing Wang, Zechao Li, Jianlong Fu, Tao Mei:
Show, Reward, and Tell: Adversarial Visual Story Generation. ACM Trans. Multim. Comput. Commun. Appl. 15(2s): 54:1-54:20 (2019) - [c34]Yanhong Zeng, Jianlong Fu, Hongyang Chao, Baining Guo:
Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting. CVPR 2019: 1486-1494 - [c33]Heliang Zheng, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo:
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition. CVPR 2019: 5012-5021 - [c32]Zhaoyang Zeng, Bei Liu, Jianlong Fu, Hongyang Chao, Lei Zhang:
WSOD2: Learning Bottom-Up and Top-Down Objectness Distillation for Weakly-Supervised Object Detection. ICCV 2019: 8291-8299 - [c31]Chenfeng Xu, Kai Qiu, Jianlong Fu, Song Bai, Yongchao Xu, Xiang Bai:
Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting. ICCV 2019: 8381-8389 - [c30]Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhen-Hua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241 - [c29]Zhongwei Qiu, Kai Qiu, Jianlong Fu, Dongmei Fu:
Learning Recurrent Structure-Guided Attention Network for Multi-person Pose Estimation. ICME 2019: 418-423 - [c28]Shizhe Chen, Qin Jin, Jianlong Fu:
From Words to Sentences: A Progressive Learning Approach for Zero-resource Machine Translation with Visual Pivots. IJCAI 2019: 4932-4938 - [c27]Nanxing Li, Bei Liu, Zhizhong Han, Yu-Shen Liu, Jianlong Fu:
Emotion Reinforced Visual Storytelling. ICMR 2019: 297-305 - [c26]Jianbo Wang, Kai Qiu, Houwen Peng, Jianlong Fu, Jianke Zhu:
AI Coach: Deep Human Pose Estimation and Analysis for Personalized Athletic Training Assistance. ACM Multimedia 2019: 374-382 - [c25]Jianbo Wang, Kai Qiu, Houwen Peng, Jianlong Fu, Jianke Zhu:
AI Coach: Deep Human Pose Estimation and Analysis for Personalized Athletic Training Assistance. ACM Multimedia 2019: 2228-2230 - [c24]Shizhe Chen, Bei Liu, Jianlong Fu, Ruihua Song, Qin Jin, Pingping Lin, Xiaoyu Qi, Chunting Wang, Jin Zhou:
Neural Storyboard Artist: Visualizing Stories with Coherent Image Sequences. ACM Multimedia 2019: 2236-2244 - [c23]Heliang Zheng, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo:
Learning Deep Bilinear Transformation for Fine-grained Image Representation. NeurIPS 2019: 4279-4288 - [i19]Heliang Zheng, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo:
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition. CoRR abs/1903.06150 (2019) - [i18]Yanhong Zeng, Jianlong Fu, Hongyang Chao, Baining Guo:
Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting. CoRR abs/1904.07475 (2019) - [i17]Shizhe Chen, Qin Jin, Jianlong Fu:
From Words to Sentences: A Progressive Learning Approach for Zero-resource Machine Translation with Visual Pivots. CoRR abs/1906.00872 (2019) - [i16]Shizhe Chen, Yuqing Song, Yida Zhao, Qin Jin, Zhaoyang Zeng, Bei Liu, Jianlong Fu, Alexander G. Hauptmann:
Activitynet 2019 Task 3: Exploring Contexts for Dense Captioning Events in Videos. CoRR abs/1907.05092 (2019) - [i15]Chenfeng Xu, Kai Qiu, Jianlong Fu, Song Bai, Yongchao Xu, Xiang Bai:
Learn to Scale: Generating Multipolar Normalized Density Map for Crowd Counting. CoRR abs/1907.12428 (2019) - [i14]Zhaoyang Zeng, Bei Liu, Jianlong Fu, Hongyang Chao, Lei Zhang:
WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection. CoRR abs/1909.04972 (2019) - [i13]Shih-Han Chou, Cheng Sun, Wen-Yen Chang, Wan Ting Hsu, Min Sun, Jianlong Fu:
360-Indoor: Towards Learning Real-World Objects in 360° Indoor Equirectangular Images. CoRR abs/1910.01712 (2019) - [i12]Bei Liu, Zhicheng Huang, Zhaoyang Zeng, Zheyu Chen, Jianlong Fu:
Learning Rich Image Region Representation for Visual Question Answering. CoRR abs/1910.13077 (2019) - [i11]Heliang Zheng, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo:
Learning Deep Bilinear Transformation for Fine-grained Image Representation. CoRR abs/1911.03621 (2019) - [i10]Shizhe Chen, Bei Liu, Jianlong Fu, Ruihua Song, Qin Jin, Pingping Lin, Xiaoyu Qi, Chunting Wang, Jin Zhou:
Neural Storyboard Artist: Visualizing Stories with Coherent Image Sequences. CoRR abs/1911.10460 (2019) - [i9]Songyang Zhang, Houwen Peng, Jianlong Fu, Jiebo Luo:
Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language. CoRR abs/1912.03590 (2019) - [i8]Songyang Zhang, Houwen Peng, Le Yang, Jianlong Fu, Jiebo Luo:
Learning Sparse 2D Temporal Adjacent Networks for Temporal Action Localization. CoRR abs/1912.03612 (2019) - 2018
- [c22]Shih-Han Chou, Yi-Chun Chen, Kuo-Hao Zeng, Hou-Ning Hu, Jianlong Fu, Min Sun:
Self-View Grounding Given a Narrated 360° Video. AAAI 2018: 6748-6755 - [c21]Jing Wang, Jianlong Fu, Jinhui Tang, Zechao Li, Tao Mei:
Show, Reward and Tell: Automatic Generation of Narrative Paragraph From Photo Stream by Adversarial Training. AAAI 2018: 7396-7403 - [c20]Shuang Ma, Jianlong Fu, Chang Wen Chen, Tao Mei:
DA-GAN: Instance-Level Image Translation by Deep Attention Generative Adversarial Networks. CVPR 2018: 5657-5666 - [c19]Yalong Bai, Jianlong Fu, Tiejun Zhao, Tao Mei:
Deep Attention Neural Tensor Network for Visual Question Answering. ECCV (12) 2018: 21-37 - [c18]Qing Li, Jianlong Fu, Dongfei Yu, Tao Mei, Jiebo Luo:
Tell-and-Answer: Towards Explainable Visual Question Answering using Attributes and Captions. EMNLP 2018: 1338-1346 - [c17]Shintami Chusnul Hidayati, Cheng-Chun Hsu, Yu-Ting Chang, Kai-Lung Hua, Jianlong Fu, Wen-Huang Cheng:
What Dress Fits Me Best?: Fashion Recommendation on the Clothing Style for Personal Body Shape. ACM Multimedia 2018: 438-446 - [c16]Bei Liu, Jianlong Fu, Makoto P. Kato, Masatoshi Yoshikawa:
Beyond Narrative Description: Generating Poetry from Images by Multi-Adversarial Training. ACM Multimedia 2018: 783-791 - [i7]Qing Li, Jianlong Fu, Dongfei Yu, Tao Mei, Jiebo Luo:
Tell-and-Answer: Towards Explainable Visual Question Answering using Attributes and Captions. CoRR abs/1801.09041 (2018) - [i6]Shuang Ma, Jianlong Fu, Chang Wen Chen, Tao Mei:
DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials). CoRR abs/1802.06454 (2018) - [i5]Bei Liu, Jianlong Fu, Makoto P. Kato, Masatoshi Yoshikawa:
Beyond Narrative Description: Generating Poetry from Images by Multi-Adversarial Training. CoRR abs/1804.08473 (2018) - [i4]Wen-Feng Cheng, Chao-Chung Wu, Ruihua Song, Jianlong Fu, Xing Xie, Jian-Yun Nie:
Image Inspired Poetry Generation in XiaoIce. CoRR abs/1808.03090 (2018) - 2017
- [c15]Yu Liu, Jianlong Fu, Tao Mei, Chang Wen Chen:
Let Your Photos Talk: Generating Narrative Paragraph for Photo Stream via Bidirectional Attention Recurrent Neural Networks. AAAI 2017: 1445-1452 - [c14]Dongfei Yu, Jianlong Fu, Tao Mei, Yong Rui:
Multi-level Attention Networks for Visual Question Answering. CVPR 2017: 4187-4195 - [c13]Jianlong Fu, Heliang Zheng, Tao Mei:
Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition. CVPR 2017: 4476-4484 - [c12]Tseng-Hung Chen, Yuan-Hong Liao, Ching-Yao Chuang, Wan Ting Hsu, Jianlong Fu, Min Sun:
Show, Adapt and Tell: Adversarial Training of Cross-Domain Image Captioner. ICCV 2017: 521-530 - [c11]Heliang Zheng, Jianlong Fu, Tao Mei, Jiebo Luo:
Learning Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition. ICCV 2017: 5219-5227 - [c10]Yanhong Zeng, Jianlong Fu, Hongyang Chao:
3D Human Body Reshaping with Anthropometric Modeling. ICIMCS 2017: 96-107 - [c9]Zhaoyang Zeng, Jianlong Fu, Hongyang Chao, Tao Mei:
Searching Personal Photos on the Phone with Instant Visual Query Suggestion and Joint Text-Image Hashing. ACM Multimedia 2017: 118-126 - [i3]Tseng-Hung Chen, Yuan-Hong Liao, Ching-Yao Chuang, Wan Ting Hsu, Jianlong Fu, Min Sun:
Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner. CoRR abs/1705.00930 (2017) - [i2]Shih-Han Chou, Yi-Chun Chen, Kuo-Hao Zeng, Hou-Ning Hu, Jianlong Fu, Min Sun:
Self-view Grounding Given a Narrated 360° Video. CoRR abs/1711.08664 (2017) - 2016
- [c8]Jingwen Wang, Jianlong Fu, Yong Xu, Tao Mei:
Beyond Object Recognition: Visual Sentiment Analysis with Deep Coupled Adjective and Noun Neural Networks. IJCAI 2016: 3484-3490 - [i1]Yu Liu, Jianlong Fu, Tao Mei, Chang Wen Chen:
Storytelling of Photo Stream with Bidirectional Multi-thread Recurrent Neural Network. CoRR abs/1606.00625 (2016) - 2015
- [j2]Jinqiao Wang, Jianlong Fu, Hanqing Lu:
Finding logos in real-world images with point-context representation-based region search. Multim. Syst. 21(