Cong Leng

According to our database, Cong Leng authored at least 36 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

ECBC: Efficient Convolution via Blocked Columnizing.

Tianli Zhao, Qinghao Hu, Xiangyu He, Weixiang Xu, Jiaxing Wang, Cong Leng, Jian Cheng

IEEE Trans. Neural Networks Learn. Syst., 2023

NTIRE 2023 Image Shadow Removal Challenge Report.

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, Li Xianwei, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

TinyNeRF: Towards 100 x Compression of Voxel Radiance Fields.

Tianli Zhao, Jiayuan Chen, Cong Leng, Jian Cheng

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results.

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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

AIM 2022 Challenge on Instagram Filter Removal: Methods and Results.

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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report.

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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Architecture Aware Latency Constrained Sparse Neural Networks.

Tianli Zhao, Qinghao Hu, Xiangyu He, Weixiang Xu, Jiaxing Wang, Cong Leng, Jian Cheng

CoRR, 2021

Weakly Supervised Salient Object Detection with Box Annotation.

Zhentao Jiang, Qiang Chen, Bo Jiang, Cong Leng, Jian Cheng

Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

2020

AIM 2020 Challenge on Learned Image Signal Processing Pipeline.

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

CoRR, 2020

ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets.

Xing Lan, Qinghao Hu, Fangzhou Xiong, Cong Leng, Jian Cheng

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

EEDNet: Enhanced Encoder-Decoder Network for AutoISP.

Yu Zhu, Zhenyu Guo, Tian Liang, Xiangyu He, Chenghua Li, Cong Leng, Bo Jiang, Yifan Zhang, Jian Cheng

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results.

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

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh.

Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

AIM 2020 Challenge on Learned Image Signal Processing Pipeline.

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

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

AIM 2020 Challenge on Rendering Realistic Bokeh.

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

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

AIM 2020: Scene Relighting and Illumination Estimation Challenge.

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

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

An Ensemble Neural Network for Scene Relighting with Light Classification.

Liping Dong, Yu Zhu, Zhuolong Jiang, Xiangyu He, Zhaohui Meng, Chenghua Li, Cong Leng, Jian Cheng

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations.

Gang Li, Peisong Wang, Zejian Liu, Cong Leng, Jian Cheng

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

BitStream: An efficient framework for inference of binary neural networks on CPUs.

Yanshu Jiang, Tianli Zhao, Xiangyu He, Cong Leng, Jian Cheng

Pattern Recognit. Lett., 2019

A System-Level Solution for Low-Power Object Detection.

Fanrong Li, Yang Zhang, Jian Cheng, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

AirFace: Lightweight and Efficient Model for Face Recognition.

Xianyang Li, Feng Wang, Qinghao Hu, Cong Leng

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks.

Jian Cheng, Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu

IEEE Trans. Neural Networks Learn. Syst., 2018

Extremely Low Bit Neural Network: Squeeze the Last Bit Out With ADMM.

Cong Leng, Zesheng Dou, Hao Li, Shenghuo Zhu, Rong Jin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM.

Cong Leng, Hao Li, Shenghuo Zhu, Rong Jin

CoRR, 2017

2016

Quantized Convolutional Neural Networks for Mobile Devices.

Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, Jian Cheng

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Shoot to Know What: An Application of Deep Networks on Mobile Devices.

Jiaxiang Wu, Qinghao Hu, Cong Leng, Jian Cheng

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Consensus hashing.

Cong Leng, Jian Cheng

Mach. Learn., 2015

Learning Deep Features For MSR-bing Information Retrieval Challenge.

Qiang Song, Sixie Yu, Cong Leng, Jiaxiang Wu, Qinghao Hu, Jian Cheng

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Hashing for Distributed Data.

Cong Leng, Jiaxiang Wu, Jian Cheng, Xi Zhang, Hanqing Lu

Proceedings of the 32nd International Conference on Machine Learning, 2015

Online sketching hashing.

Cong Leng, Jiaxiang Wu, Jian Cheng, Xiao Bai, Hanqing Lu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Semi-supervised multi-graph hashing for scalable similarity search.

Jian Cheng, Cong Leng, Peng Li, Meng Wang, Hanqing Lu

Comput. Vis. Image Underst., 2014

Item group based pairwise preference learning for personalized ranking.

Shuang Qiu, Jian Cheng, Ting Yuan, Cong Leng, Hanqing Lu

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Random subspace for binary codes learning in large scale image retrieval.

Cong Leng, Jian Cheng, Hanqing Lu

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Learning Binary Codes with Bagging PCA.

Cong Leng, Jian Cheng, Ting Yuan, Xiao Bai, Hanqing Lu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction.

Jian Cheng, Cong Leng, Jiaxiang Wu, Hainan Cui, Hanqing Lu

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Supervised Hashing with Soft Constraints.

Cong Leng, Jian Cheng, Jiaxiang Wu, Xi Zhang, Hanqing Lu

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014