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2020 – today
- 2023
[j5]Tianli Zhao
, Qinghao Hu, Xiangyu He, Weixiang Xu, Jiaxing Wang, Cong Leng, Jian Cheng:
ECBC: Efficient Convolution via Blocked Columnizing. IEEE Trans. Neural Networks Learn. Syst. 34(1): 433-445 (2023)- [c28]Tianli Zhao, Jiayuan Chen, Cong Leng, Jian Cheng:
TinyNeRF: Towards 100 x Compression of Voxel Radiance Fields. AAAI 2023: 3588-3596 - [c27]Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte, Shuhao Cui, Junshi Huang, Shuman Tian, Mingyuan Fan, Jiaqi Zhang, Li Zhu, Xiaoming Wei, Xiaolin Wei, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiaoyi Dong, Xi Sheryl Zhang, Chenghua Li, Cong Leng, Woon-Ha Yeo, Wang-Taek Oh, Yeoreum Lee, Han-Cheol Ryu, Jinting Luo, Chengzhi Jiang, Mingyan Han, Qi Wu, Wenjie Lin, Lei Yu, Xinpeng Li, Ting Jiang, Haoqiang Fan, Shuaicheng Liu, Shuning Xu, Binbin Song, Xiangyu Chen, Shile Zhang, Jiantao Zhou, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Bo Wang, Jiahuan Ren, Yan Luo, Yuki Kondo, Riku Miyata, Fuma Yasue, Taito Naruki, Norimichi Ukita, Hua-En Chang, Hao-Hsiang Yang, Yi-Chung Chen, Yuan-Chun Chiang, Zhi-Kai Huang, Wei-Ting Chen, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xianwei Li, Huiyuan Fu, Chunlin Liu, Huadong Ma, Binglan Fu, Huiming He, Mengjia Wang, Wenxuan She, Yu Liu, Sabari Nathan, Priya Kansal, Zhongjian Zhang, Huabin Yang, Yan Wang, Yanru Zhang, Shruti S. Phutke, Ashutosh Kulkarni, Md Raqib Khan, Subrahmanyam Murala, Santosh Kumar Vipparthi, Heng Ye, Zixi Liu, Xingyi Yang, Songhua Liu, Yinwei Wu, Yongcheng Jing, Qianhao Yu, Naishan Zheng, Jie Huang, Yuhang Long, Mingde Yao, Feng Zhao, Bowen Zhao, Nan Ye, Ning Shen, Yanpeng Cao, Tong Xiong, Weiran Xia, Dingwen Li, Shuchen Xia:
NTIRE 2023 Image Shadow Removal Challenge Report. CVPR Workshops 2023: 1788-1807 - 2022
- [c26]Marcos V. Conde, Radu Timofte, Yibin Huang, Jingyang Peng, Chang Chen, Cheng Li, Eduardo Pérez-Pellitero, Fenglong Song, Furui Bai, Shuai Liu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yu Zhu, Chenghua Li, Yingying Jiang, Yong A, Peisong Wang, Cong Leng, Jian Cheng, Xiaoyu Liu, Zhicun Yin, Zhilu Zhang, Junyi Li, Ming Liu, Wangmeng Zuo, Jun Jiang, Jinha Kim, Yue Zhang, Beiji Zou, Zhikai Zong, Xiaoxiao Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Furkan Kinli, Baris Özcan, Furkan Kiraç, Li Leyi, S. M. Nadim Uddin, Dipon Kumar Ghosh, Yong Ju Jung:
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. ECCV Workshops (3) 2022: 3-26 - [c25]Furkan Kinli, Sami Mentes, Baris Özcan, Furkan Kiraç, Radu Timofte, Yi Zuo, Zitao Wang, Xiaowen Zhang, Yu Zhu, Chenghua Li, Cong Leng, Jian Cheng, Shuai Liu, Chaoyu Feng, Furui Bai, Xiaotao Wang, Lei Lei, Tianzhi Ma, Zi-han Gao, Wenxin He, Woon-Ha Yeo, Wang-Taek Oh, Young-Il Kim, Han-Cheol Ryu, Gang He, Shaoyi Long, S. M. A. Sharif, Rizwan Ali Naqvi, Sungjun Kim, Guisik Kim, Seohyeon Lee, Sabari Nathan, Priya Kansal:
AIM 2022 Challenge on Instagram Filter Removal: Methods and Results. ECCV Workshops (3) 2022: 27-43 - [c24]Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng:
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. ECCV Workshops (3) 2022: 174-202 - [i12]Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng:
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. CoRR abs/2208.11184 (2022) - [i11]Furkan Kinli, Sami Mentes, Baris Özcan, Furkan Kiraç, Radu Timofte, Yi Zuo, Zitao Wang, Xiaowen Zhang, Yu Zhu, Chenghua Li, Cong Leng, Jian Cheng, Shuai Liu, Chaoyu Feng, Furui Bai, Xiaotao Wang, Lei Lei, Tianzhi Ma, Zi-han Gao, Wenxin He, Woon-Ha Yeo, Wang-Taek Oh, Young-Il Kim, Han-Cheol Ryu, Gang He, Shaoyi Long, S. M. A. Sharif, Rizwan Ali Naqvi, Sungjun Kim, Guisik Kim, Seohyeon Lee, Sabari Nathan, Priya Kansal:
AIM 2022 Challenge on Instagram Filter Removal: Methods and Results. CoRR abs/2210.08997 (2022) - [i10]Marcos V. Conde, Radu Timofte, Yibin Huang, Jingyang Peng, Chang Chen, Cheng Li, Eduardo Pérez-Pellitero, Fenglong Song, Furui Bai, Shuai Liu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yu Zhu, Chenghua Li, Yingying Jiang, Yong A, Peisong Wang, Cong Leng, Jian Cheng, Xiaoyu Liu, Zhicun Yin, Zhilu Zhang, Junyi Li, Ming Liu, Wangmeng Zuo, Jun Jiang, Jinha Kim, Yue Zhang, Beiji Zou, Zhikai Zong, Xiaoxiao Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Furkan Kinli, Baris Özcan, Furkan Kiraç, Li Leyi, S. M. Nadim Uddin, Dipon Kumar Ghosh, Yong Ju Jung:
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. CoRR abs/2210.11153 (2022) - 2021
- [c23]Zhentao Jiang, Qiang Chen, Bo Jiang, Cong Leng, Jian Cheng:
Weakly Supervised Salient Object Detection with Box Annotation. ACPR (1) 2021: 197-211 - [i9]Tianli Zhao, Qinghao Hu, Xiangyu He, Weixiang Xu, Jiaxing Wang, Cong Leng, Jian Cheng:
Architecture Aware Latency Constrained Sparse Neural Networks. CoRR abs/2109.00170 (2021) - 2020
- [c22]Gang Li, Peisong Wang, Zejian Liu, Cong Leng, Jian Cheng:
Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations. DATE 2020: 971-974 - [c21]Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 5-40 - [c20]Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho Ye, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou:
AIM 2020 Challenge on Learned Image Signal Processing Pipeline. ECCV Workshops (3) 2020: 152-170 - [c19]Yu Zhu, Zhenyu Guo, Tian Liang, Xiangyu He, Chenghua Li, Cong Leng, Bo Jiang, Yifan Zhang, Jian Cheng:
EEDNet: Enhanced Encoder-Decoder Network for AutoISP. ECCV Workshops (3) 2020: 171-184 - [c18]Andrey Ignatov, Radu Timofte, Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng, Juewen Peng, Xianrui Luo, Ke Xian, Zijin Wu, Zhiguo Cao, Densen Puthussery, C. V. Jiji, Hrishikesh P. S, Melvin Kuriakose, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Saagara M. B, Minnu A. L, Sanjana A. R, Praseeda S, Ge Wu, Xueqin Chen, Tengyao Wang, Max Zheng, Hulk Wong, Jay Zou:
AIM 2020 Challenge on Rendering Realistic Bokeh. ECCV Workshops (3) 2020: 213-228 - [c17]Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng:
BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh. ECCV Workshops (3) 2020: 229-244 - [c16]Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S. Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A. Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M. Parisa Beham, R. Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Densen Puthussery, Hrishikesh P. S, Melvin Kuriakose, C. V. Jiji, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng:
AIM 2020: Scene Relighting and Illumination Estimation Challenge. ECCV Workshops (3) 2020: 499-518 - [c15]Liping Dong, Yu Zhu, Zhuolong Jiang, Xiangyu He, Zhaohui Meng, Chenghua Li, Cong Leng, Jian Cheng:
An Ensemble Neural Network for Scene Relighting with Light Classification. ECCV Workshops (3) 2020: 581-595 - [c14]Xing Lan, Qinghao Hu, Fangzhou Xiong, Cong Leng, Jian Cheng:
ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets. ACM Multimedia 2020: 2140-2148 - [i8]Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. Victor Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2009.06943 (2020) - [i7]Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S. Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A. Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M. Parisa Beham, R. Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Densen Puthussery, Hrishikesh P. S, Melvin Kuriakose, C. Victor Jiji, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng:
AIM 2020: Scene Relighting and Illumination Estimation Challenge. CoRR abs/2009.12798 (2020) - [i6]Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng:
BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh. CoRR abs/2011.02242 (2020) - [i5]Andrey Ignatov, Radu Timofte, Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng, Juewen Peng, Xianrui Luo, Ke Xian, Zijin Wu, Zhiguo Cao, Densen Puthussery, C. Victor Jiji, Hrishikesh P. S, Melvin Kuriakose, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Saagara M. B, Minnu A. L, Sanjana A. R, Praseeda S, Ge Wu, Xueqin Chen, Tengyao Wang, Max Zheng, Hulk Wong, Jay Zou:
AIM 2020 Challenge on Rendering Realistic Bokeh. CoRR abs/2011.04988 (2020) - [i4]Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou:
AIM 2020 Challenge on Learned Image Signal Processing Pipeline. CoRR abs/2011.04994 (2020)
2010 – 2019
- 2019
- [j4]Yanshu Jiang, Tianli Zhao, Xiangyu He, Cong Leng, Jian Cheng:
BitStream: An efficient framework for inference of binary neural networks on CPUs. Pattern Recognit. Lett. 125: 303-309 (2019) - [c13]Fanrong Li, Yang Zhang, Jian Cheng, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng:
A System-Level Solution for Low-Power Object Detection. ICCV Workshops 2019: 2461-2468 - [c12]Xianyang Li, Feng Wang, Qinghao Hu, Cong Leng:
AirFace: Lightweight and Efficient Model for Face Recognition. ICCV Workshops 2019: 2678-2682 - [i3]Fanrong Li, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng, Yang Zhang, Jian Cheng:
A System-Level Solution for Low-Power Object Detection. CoRR abs/1909.10964 (2019) - 2018
- [j3]Jian Cheng, Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu:
Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4730-4743 (2018) - [c11]Cong Leng, Zesheng Dou, Hao Li, Shenghuo Zhu, Rong Jin:
Extremely Low Bit Neural Network: Squeeze the Last Bit Out With ADMM. AAAI 2018: 3466-3473 - 2017
- [i2]Cong Leng, Hao Li, Shenghuo Zhu, Rong Jin:
Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM. CoRR abs/1707.09870 (2017) - 2016
- [c10]Jiaxiang Wu, Qinghao Hu, Cong Leng, Jian Cheng:
Shoot to Know What: An Application of Deep Networks on Mobile Devices. AAAI 2016: 4399-4400 - [c9]Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, Jian Cheng:
Quantized Convolutional Neural Networks for Mobile Devices. CVPR 2016: 4820-4828 - 2015
- [j2]Cong Leng, Jian Cheng:
Consensus hashing. Mach. Learn. 100(2-3): 379-398 (2015) - [c8]Cong Leng, Jiaxiang Wu, Jian Cheng, Xiao Bai, Hanqing Lu:
Online sketching hashing. CVPR 2015: 2503-2511 - [c7]Cong Leng, Jiaxiang Wu, Jian Cheng, Xi Zhang, Hanqing Lu:
Hashing for Distributed Data. ICML 2015: 1642-1650 - [c6]Qiang Song, Sixie Yu, Cong Leng, Jiaxiang Wu, Qinghao Hu, Jian Cheng:
Learning Deep Features For MSR-bing Information Retrieval Challenge. ACM Multimedia 2015: 169-172 - [i1]Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, Jian Cheng:
Quantized Convolutional Neural Networks for Mobile Devices. CoRR abs/1512.06473 (2015) - 2014
- [j1]Jian Cheng, Cong Leng, Peng Li, Meng Wang, Hanqing Lu:
Semi-supervised multi-graph hashing for scalable similarity search. Comput. Vis. Image Underst. 124: 12-21 (2014) - [c5]Cong Leng, Jian Cheng, Jiaxiang Wu, Xi Zhang, Hanqing Lu:
Supervised Hashing with Soft Constraints. CIKM 2014: 1851-1854 - [c4]Jian Cheng, Cong Leng, Jiaxiang Wu, Hainan Cui, Hanqing Lu:
Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction. CVPR 2014: 1-8 - [c3]Cong Leng, Jian Cheng, Ting Yuan, Xiao Bai, Hanqing Lu:
Learning Binary Codes with Bagging PCA. ECML/PKDD (2) 2014: 177-192 - [c2]Cong Leng, Jian Cheng, Hanqing Lu:
Random subspace for binary codes learning in large scale image retrieval. SIGIR 2014: 1031-1034 - [c1]Shuang Qiu, Jian Cheng, Ting Yuan, Cong Leng, Hanqing Lu:
Item group based pairwise preference learning for personalized ranking. SIGIR 2014: 1219-1222
Coauthor Index
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