no code implementations • 18 Apr 2024 • Chao Zhou, Huishuai Zhang, Jiang Bian, Weiming Zhang, Nenghai Yu
To mitigate this, we propose the \copyright Plug-in Authorization framework, introducing three operations: addition, extraction, and combination.
1 code implementation • 17 Apr 2024 • Xin Li, Kun Yuan, Yajing Pei, Yiting Lu, Ming Sun, Chao Zhou, Zhibo Chen, Radu Timofte, Wei Sun, HaoNing Wu, ZiCheng Zhang, Jun Jia, Zhichao Zhang, Linhan Cao, Qiubo Chen, Xiongkuo Min, Weisi Lin, Guangtao Zhai, Jianhui Sun, Tianyi Wang, Lei LI, Han Kong, Wenxuan Wang, Bing Li, Cheng Luo, Haiqiang Wang, Xiangguang Chen, Wenhui Meng, Xiang Pan, Huiying Shi, Han Zhu, Xiaozhong Xu, Lei Sun, Zhenzhong Chen, Shan Liu, Fangyuan Kong, Haotian Fan, Yifang Xu, Haoran Xu, Mengduo Yang, Jie zhou, Jiaze Li, Shijie Wen, Mai Xu, Da Li, Shunyu Yao, Jiazhi Du, WangMeng Zuo, Zhibo Li, Shuai He, Anlong Ming, Huiyuan Fu, Huadong Ma, Yong Wu, Fie Xue, Guozhi Zhao, Lina Du, Jie Guo, Yu Zhang, huimin zheng, JunHao Chen, Yue Liu, Dulan Zhou, Kele Xu, Qisheng Xu, Tao Sun, Zhixiang Ding, Yuhang Hu
This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality Assessment (S-UGC VQA), where various excellent solutions are submitted and evaluated on the collected dataset KVQ from popular short-form video platform, i. e., Kuaishou/Kwai Platform.
1 code implementation • 15 Apr 2024 • Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang, Yajun Zou, Yuan Huang, Jiamin Lin, Bingnan Han, Xianyu Guan, Yongsheng Yu, Daoan Zhang, Xuanwu Yin, Kunlong Zuo, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Hongyu An, Xinfeng Zhang, Zhiyuan Song, Ziyue Dong, Qing Zhao, Xiaogang Xu, Pengxu Wei, Zhi-chao Dou, Gui-ling Wang, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Cansu Korkmaz, A. Murat Tekalp, Yubin Wei, Xiaole Yan, Binren Li, Haonan Chen, Siqi Zhang, Sihan Chen, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Anjali Sarvaiya, Pooja Choksy, Jagrit Joshi, Shubh Kawa, Kishor Upla, Sushrut Patwardhan, Raghavendra Ramachandra, Sadat Hossain, Geongi Park, S. M. Nadim Uddin, Hao Xu, Yanhui Guo, Aman Urumbekov, Xingzhuo Yan, Wei Hao, Minghan Fu, Isaac Orais, Samuel Smith, Ying Liu, Wangwang Jia, Qisheng Xu, Kele Xu, Weijun Yuan, Zhan Li, Wenqin Kuang, Ruijin Guan, Ruting Deng, Zhao Zhang, Bo wang, Suiyi Zhao, Yan Luo, Yanyan Wei, Asif Hussain Khan, Christian Micheloni, Niki Martinel
This paper reviews the NTIRE 2024 challenge on image super-resolution ($\times$4), highlighting the solutions proposed and the outcomes obtained.
no code implementations • 8 Apr 2024 • Huafu Liao, Alpár R. Mészáros, Chenchen Mou, Chao Zhou
Using these uniform regularity results, we show the convergence of the minima of objective functionals and optimal parameters of the neural SDEs as the sample size N tends to infinity.
no code implementations • 18 Mar 2024 • Haolan Chen, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Wei Hu
In particular, we develop a cascaded controllable diffusion model that aims to optimize the extraction of information from low-resolution images.
no code implementations • 15 Mar 2024 • Qiang Zhu, Jinhua Hao, Yukang Ding, Yu Liu, Qiao Mo, Ming Sun, Chao Zhou, Shuyuan Zhu
Specifically, the ITA module aggregates temporal information from consecutive frames and coding priors, while the MNA module globally captures spatial information guided by residual frames.
no code implementations • 8 Mar 2024 • Yunpeng Qu, Kun Yuan, Kai Zhao, Qizhi Xie, Jinhua Hao, Ming Sun, Chao Zhou
Diffusion-based methods, endowed with a formidable generative prior, have received increasing attention in Image Super-Resolution (ISR) recently.
1 code implementation • 11 Feb 2024 • Yiting Lu, Xin Li, Yajing Pei, Kun Yuan, Qizhi Xie, Yunpeng Qu, Ming Sun, Chao Zhou, Zhibo Chen
Short-form UGC video platforms, like Kwai and TikTok, have been an emerging and irreplaceable mainstream media form, thriving on user-friendly engagement, and kaleidoscope creation, etc.
no code implementations • 6 Jan 2024 • Wenqi Ji, Fang Liu, Xinxin Du, Niqi Liu, Chao Zhou, Mingjin Yu, Guozhen Zhao, Yong-Jin Liu
Interpersonal relationship quality is pivotal in social and occupational contexts.
no code implementations • 8 Dec 2023 • Jinyan Guo, Chenchen Mou, Xianjin Yang, Chao Zhou
This paper presents a Gaussian Process (GP) framework, a non-parametric technique widely acknowledged for regression and classification tasks, to address inverse problems in mean field games (MFGs).
no code implementations • 8 Nov 2023 • Siu Hin Tang, Mathieu Rosenbaum, Chao Zhou
We extend the application and test the performance of a recently introduced volatility prediction framework encompassing LSTM and rough volatility.
no code implementations • 7 Nov 2023 • Jun Sun, Zhongjie Mao, Chao Li, Chao Zhou, Xiao-Jun Wu
The common framework among recent approaches is to train the model on a large amount of unlabelled data with consistency regularization to constrain the model predictions to be invariant to input perturbation.
1 code implementation • 28 Jun 2023 • Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu, Philip S. Yu
To address this limitation, we propose Dimension Independent Mixup for Hard Negative Sampling (DINS), which is the first Area-wise sampling method for training CF-based models.
no code implementations • 11 May 2023 • Mengge Li, Shuaijie Qian, Chao Zhou
Under our definition, a classical solution to the corresponding PDE system implies a robust equilibrium strategy.
no code implementations • CVPR 2023 • Chao Zhou, Yanan Zhang, Jiaxin Chen, Di Huang
A key challenge for LiDAR-based 3D object detection is to capture sufficient features from large scale 3D scenes especially for distant or/and occluded objects.
no code implementations • 13 Dec 2022 • Chao Zhou, Cheng Qiu, Daniel E. Acuna
The rapid advancement of AI technology has made text generation tools like GPT-3 and ChatGPT increasingly accessible, scalable, and effective.
no code implementations • 16 Oct 2022 • Chao Zhou, Yuan-Gen Wang, Guopu Zhu
Specifically, we first generate an object region by intersecting the object detection region from YOLOv4 with the salient object detection (SOD) region from HVPNet.
no code implementations • 23 Aug 2022 • Zhou Yang, Jing Zhang, Chao Zhou
A robust control problem is considered in this paper, where the controlled stochastic differential equations (SDEs) include ambiguity parameters and their coefficients satisfy non-Lipschitz continuous and non-linear growth conditions, the objective function is expressed as a backward stochastic differential equation (BSDE) with the generator depending on the value function.
no code implementations • 24 Jan 2022 • Lijun Bo, Agostino Capponi, Chao Zhou
We study the forward investment performance process (FIPP) in an incomplete semimartingale market model with closed and convex portfolio constraints, when the investor's risk preferences are of the power form.
no code implementations • 20 Oct 2021 • Wei Pu, Chao Zhou, Yonina C. Eldar, Miguel R. D. Rodrigues
In this paper, we consider deep neural networks for solving inverse problems that are robust to forward model mis-specifications.
no code implementations • 11 Jun 2021 • Guanxing Fu, Chao Zhou
We study mean field portfolio games with random market parameters, where each player is concerned with not only her own wealth but also relative performance to her competitors.
1 code implementation • 21 Mar 2021 • Qiang Du, Yiqi Gu, Haizhao Yang, Chao Zhou
We put forward error estimates for these methods using the approximation property of deep networks.
no code implementations • 23 Jul 2020 • Chao Deng, Xizhi Su, Chao Zhou
We observe that the agent with the most accurate prior estimate is likely to lead the herd, and the effect of competition on heterogeneous agents varies more with market characteristics compared to the homogeneous case.
no code implementations • 21 May 2020 • Chao Zhou
We first consider a linear mixture model with sparsity constraint, then we unfold Alternating Direction Method of Multipliers (ADMM) algorithm to construct the unmixing network structures.
no code implementations • 6 Apr 2020 • Xinting Yang, Song Zhang, Jintao Liu, Qinfeng Gao, Shuanglin Dong, Chao Zhou
This change can create new opportunities and a series of challenges for information and data processing in smart fish farming.
no code implementations • 5 Mar 2020 • Yongle Luo, Kun Dong, Lili Zhao, Zhiyong Sun, Chao Zhou, Bo Song
The experiment results show that the Dense2Sparse method obtained higher expected reward compared with the ones using standalone dense reward or sparse reward, and it also has a superior tolerance of system uncertainty.
no code implementations • 3 Sep 2019 • Junbeom Lee, Xiang Yu, Chao Zhou
This paper aims to make a new contribution to the study of lifetime ruin problem by considering investment in two hedge funds with high-watermark fees and drift uncertainty.
1 code implementation • 6 Aug 2019 • Tianchi Huang, Chao Zhou, Rui-Xiao Zhang, Chenglei Wu, Xin Yao, Lifeng Sun
Using trace-driven and real-world experiments, we demonstrate significant improvements of Comyco's sample efficiency in comparison to prior work, with 1700x improvements in terms of the number of samples required and 16x improvements on training time required.
no code implementations • 5 Sep 2018 • Huyen Pham, Xiaoli Wei, Chao Zhou
The dynamic setting allows us to consider time varying ambiguity sets, which include the cases where the drift and correlation are estimated on a rolling window of historical data or when the investor takes into account learning on the ambiguity.
no code implementations • 12 Jun 2018 • Cheng'an Bai, Chao Zhou
Deep learning has been used in many areas, such as feature detections in images and the game of go.
1 code implementation • 5 Mar 2018 • Lian Duan, Xi Qin, Yuanhao He, Xialin Sang, Jinda Pan, Tao Xu, Jing Men, Rudolph E. Tanzi, Airong Li, Yutao Ma, Chao Zhou
Convolutional neural networks are powerful tools for image segmentation and classification.
no code implementations • ICCV 2017 • Chao Zhou, Hong Zhang, Xiaoyong Shen, Jiaya Jia
However, due to the limitations of these datasets and the difficulty of collecting new stereo data, current methods fail in real-life cases.
1 code implementation • ICCV 2017 • Xin Tao, Chao Zhou, Xiaoyong Shen, Jue Wang, Jiaya Jia
In this paper, we study an unconventional but practically meaningful reversibility problem of commonly used image filters.
no code implementations • ICCV 2017 • Xiaoyong Shen, Hongyun Gao, Xin Tao, Chao Zhou, Jiaya Jia
Estimating correspondence between two images and extracting the foreground object are two challenges in computer vision.
no code implementations • 1 Mar 2017 • Junbeom Lee, Chao Zhou
It is often believed that considering both DVA and funding benefits results in a double-counting issue but it will be shown that the two components are affected by different mathematical structures of derivative transactions.
no code implementations • ICCV 2015 • Xiaoyong Shen, Chao Zhou, Li Xu, Jiaya Jia
Previous joint/guided filters directly transfer the structural information in the reference image to the target one.