no code implementations • 3 Jul 2017 • Chi Zhang, Rui Yao, Jinpeng Cai
According to the results from our experiments, our CNN model is able to accurately estimate different people's gaze under various lighting conditions by different devices.
no code implementations • 20 Feb 2017 • Rui Yao, Guosheng Lin, Qinfeng Shi, Damith Ranasinghe
We conduct extensive experiments and demonstrate that our proposed approach is able to outperform the state-of-the-arts in terms of classification and label misalignment measures on three challenging datasets: Opportunity, Hand Gesture, and our new dataset.
no code implementations • CVPR 2013 • Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, Anton Van Den Hengel
Despite many advances made in the area, deformable targets and partial occlusions continue to represent key problems in visual tracking.
no code implementations • 19 Apr 2019 • Rui Yao, Guosheng Lin, Shixiong Xia, Jiaqi Zhao, Yong Zhou
Second, we provide a detailed discussion and overview of the technical characteristics of the different methods.
no code implementations • 5 Jan 2020 • Zhiwen Shao, Yong Zhou, Jianfei Cai, Hancheng Zhu, Rui Yao
Specifically, we propose an adaptive attention regression network to regress the global attention map of each AU under the constraint of attention predefinition and the guidance of AU detection, which is beneficial for capturing both specified dependencies by landmarks in strongly correlated regions and facial globally distributed dependencies in weakly correlated regions.
no code implementations • 22 May 2020 • Rui Yao, Shlomo Bekhor
A modified link penalty method, which accounts for preference of using higher hierarchical roads, provides a route set with 97% coverage (80% overlap threshold).
no code implementations • 27 Jul 2020 • Yichen Zhang, Jianzhe Liu, Feng Qiu, Tianqi Hong, Rui Yao
Traditional methods for solvability region analysis can only have inner approximations with inconclusive conservatism.
no code implementations • 5 Jan 2021 • Chi Zhang, Guankai Li, Guosheng Lin, Qingyao Wu, Rui Yao
Image co-segmentation is an active computer vision task that aims to segment the common objects from a set of images.
no code implementations • 18 Feb 2021 • Yichen Zhang, Hantao Cui, Jianzhe Liu, Feng Qiu, Tianqi Hong, Rui Yao, Fangxing Li
Frequency-constrained unit commitment (FCUC) is proposed to address this challenge.
no code implementations • 24 Nov 2020 • Dong Chen, Kaian Chen. Zhaojian Li, Tianshu Chu, Rui Yao, Feng Qiu, Kaixiang Lin
Specifically, we consider the decentralized inverter-based secondary voltage control problem in distributed generators (DGs), which is first formulated as a cooperative multi-agent reinforcement learning (MARL) problem.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 27 Jun 2022 • Yuchen Su, Zhiwen Shao, Yong Zhou, Fanrong Meng, Hancheng Zhu, Bing Liu, Rui Yao
Arbitrary-shaped scene text detection is a challenging task due to the variety of text changes in font, size, color, and orientation.
no code implementations • 18 Feb 2023 • Min Xiong, Rui Yao, Yang Liu, Kai Sun, Feng Qiu
For electromagnetic transient (EMT) simulation of a power system, a state-space-based approach needs to solve state-space EMT equations by using numerical integration methods, e. g., the Euler method, Runge-Kutta methods, and trapezoidal-rule method, at small time steps.
no code implementations • 29 Mar 2023 • Rui Yao, Shlomo Bekhor
This paper is one of the first studies that explicitly integrates the ridesharing platform multi-passenger matching problem into the model.
no code implementations • 25 Jul 2023 • Zhiwen Shao, Yuchen Su, Yong Zhou, Fanrong Meng, Hancheng Zhu, Bing Liu, Rui Yao
Contour based scene text detection methods have rapidly developed recently, but still suffer from inaccurate frontend contour initialization, multi-stage error accumulation, or deficient local information aggregation.
no code implementations • 12 Oct 2023 • Rui Yao, Kenan Zhang
This study investigates the assignment and pricing problem for a MaaS platform as an intermediary in a multi-modal transportation network, which purchases capacity from service operators and sells multi-modal trips to travelers.
no code implementations • 29 Oct 2023 • Jiayao Tan, Fan Lyu, Linyan Li, Fuyuan Hu, Tingliang Feng, Fenglei Xu, Rui Yao
Vehicle-to-everything (V2X) perception is an innovative technology that enhances vehicle perception accuracy, thereby elevating the security and reliability of autonomous systems.
no code implementations • 29 Nov 2023 • Jiaqi Zhao, Zeyu Ding, Yong Zhou, Hancheng Zhu, Wenliang Du, Rui Yao, Abdulmotaleb El Saddik
To address these limitations, we propose an end-to-end oriented detector equipped with an efficient decoder, which incorporates two technologies, Rotated RoI attention (RRoI attention) and Selective Distinct Queries (SDQ).
no code implementations • 19 Dec 2023 • Min Xiong, Kaiyang Huang, Yang Liu, Rui Yao, Kai Sun, Feng Qiu
Case studies are conducted on EMT models of the IEEE 39-bus system and a synthetic 390-bus system to demonstrate the merits of the new simulation approach against traditional methods.
1 code implementation • 23 Apr 2024 • Siqi Feng, Rui Yao, Stephane Hess, Ricardo A. Daziano, Timothy Brathwaite, Joan Walker, Shenhao Wang
Moreover, the proposed framework is applicable to other NN-based choice models such as TasteNets.
1 code implementation • 19 Jun 2021 • Rui Yao, Shlomo Bekhor
This paper derives the generalized extreme value (GEV) model with implicit availability/perception (IAP) of alternatives and proposes a variational autoencoder (VAE) approach for choice set generation and implicit perception of alternatives.
1 code implementation • NeurIPS 2021 • Constantinos Daskalakis, Patroklos Stefanou, Rui Yao, Manolis Zampetakis
In this paper, we provide the first computationally and statistically efficient estimators for truncated linear regression when the noise variance is unknown, estimating both the linear model and the variance of the noise.
1 code implementation • CVPR 2022 • Bing Liu, Dong Wang, Xu Yang, Yong Zhou, Rui Yao, Zhiwen Shao, Jiaqi Zhao
In the encoding stage, the IOD is able to disentangle the region-based visual features by deconfounding the visual confounder.
1 code implementation • 9 May 2020 • Cunyuan Gao, Yi Hu, Yi Zhang, Rui Yao, Yong Zhou, Jiaqi Zhao
Top performance in City-Scale Multi-Camera Vehicle Re-Identification demonstrated the advantage of our methods, and we got 5-th place in the vehicle Re-ID track of AIC2020.
1 code implementation • CVPR 2019 • Chi Zhang, Guosheng Lin, Fayao Liu, Rui Yao, Chunhua Shen
Recent progress in semantic segmentation is driven by deep Convolutional Neural Networks and large-scale labeled image datasets.
Ranked #86 on Few-Shot Semantic Segmentation on PASCAL-5i (5-Shot)