1 code implementation • 5 Jan 2024 • Wen Dong, Haiyang Mei, Ziqi Wei, Ao Jin, Sen Qiu, Qiang Zhang, Xin Yang
Car detection is an important task that serves as a crucial prerequisite for many automated driving functions.
no code implementations • 6 Sep 2022 • Letian Yu, Haiyang Mei, Wen Dong, Ziqi Wei, Li Zhu, Yuxin Wang, Xin Yang
First, we attempt to bridge the characteristic gap between different levels of features by developing a Discriminability Enhancement (DE) module which enables level-specific features to be a more discriminative representation, alleviating the features incompatibility for fusion.
no code implementations • 4 May 2022 • Yan Shen, Fan Yang, Mingchen Gao, Wen Dong
Traditional machine learning approaches capture complex system dynamics either with dynamic Bayesian networks and state space models, which is hard to scale because it is non-trivial to prescribe the dynamics with a sparse graph or a system of differential equations; or a deep neural networks, where the distributed representation of the learned dynamics is hard to interpret.
no code implementations • CVPR 2022 • Haiyang Mei, Bo Dong, Wen Dong, Jiaxi Yang, Seung-Hwan Baek, Felix Heide, Pieter Peers, Xiaopeng Wei, Xin Yang
Transparent and semi-transparent materials pose significant challenges for existing scene understanding and segmentation algorithms due to their lack of RGB texture which impedes the extraction of meaningful features.
Ranked #14 on Semantic Segmentation on KITTI-360
no code implementations • 13 Aug 2021 • Daoming Lyu, Fangkai Yang, Hugh Kwon, Wen Dong, Levent Yilmaz, Bo Liu
Human-robot interactive decision-making is increasingly becoming ubiquitous, and trust is an influential factor in determining the reliance on autonomy.
no code implementations • CVPR 2021 • Haiyang Mei, Bo Dong, Wen Dong, Pieter Peers, Xin Yang, Qiang Zhang, Xiaopeng Wei
To exploit depth information in mirror segmentation, we first construct a large-scale RGB-D mirror segmentation dataset, which we subsequently employ to train a novel depth-aware mirror segmentation framework.
2 code implementations • 4 Jan 2021 • Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen
In this paper, we advocate to revive latent variable modeling, essentially the power of representation learning, in the era of Transformers to enhance controllability without hurting state-of-the-art generation effectiveness.
1 code implementation • 4 Jan 2021 • Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen
Our paper is among the first ones by our knowledge to propose a model and to create datasets for the task of "outline to story".
no code implementations • NeurIPS 2020 • Fan Yang, Alina Vereshchaka, Changyou Chen, Wen Dong
We demonstrate the performance of our algorithm through benchmarking with three state-of-the-art multi-agent imitation learning algorithms on several tasks, including solving a multi-agent traffic optimization problem in a real-world transportation network.
no code implementations • 6 Jun 2020 • Daoming Lyu, Bo Liu, Matthieu Geist, Wen Dong, Saad Biaz, Qi. Wang
Policy evaluation algorithms are essential to reinforcement learning due to their ability to predict the performance of a policy.
no code implementations • 5 Feb 2020 • Brendon Lutnick, Wen Dong, Zohar Nussinov, Pinaki Sarder
We propose a fast statistical down-sampling of input image pixels based on the respective color features, and a new iterative method to minimize the Potts model energy considering pixel to segment relationship.
1 code implementation • IJCNLP 2019 • Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen
Deep latent variable models (LVM) such as variational auto-encoder (VAE) have recently played an important role in text generation.
no code implementations • 7 May 2019 • Wen Dong, Bo Liu, Fan Yang
However, such real-world complex system control is difficult to achieve because of high-dimensional and non-linear system dynamics, and the exploding state and action spaces for the decision maker.
no code implementations • 7 May 2019 • Wen Dong, Tong Guan, Bruno Lepri, Chunming Qiao
Mobile phones provide a powerful sensing platform that researchers may adopt to understand proximity interactions among people and the diffusion, through these interactions, of diseases, behaviors, and opinions.
1 code implementation • NeurIPS 2017 • Le Fang, Fan Yang, Wen Dong, Tong Guan, Chunming Qiao
Technological breakthroughs allow us to collect data with increasing spatio-temporal resolution from complex interaction systems.
no code implementations • 17 Apr 2017 • Bo Liu, Daoming Lyu, Wen Dong, Saad Biaz
Temporal difference learning and Residual Gradient methods are the most widely used temporal difference based learning algorithms; however, it has been shown that none of their objective functions is optimal w. r. t approximating the true value function $V$.
no code implementations • NeurIPS 2016 • Zhen Xu, Wen Dong, Sargur Srihari
Social dynamics is concerned primarily with interactions among individuals and the resulting group behaviors, modeling the temporal evolution of social systems via the interactions of individuals within these systems.