Kai Yan | DeepAI

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Featured Co-authors

Bin Yang
145 publications
Dongmei Zhang
84 publications
Wei Zhan
79 publications
Changliu Liu
69 publications
Alexander G. Schwing
48 publications
Yu-Xiong Wang
41 publications
Liting Sun
36 publications
Yi Lin
31 publications
Siyuan Liu
24 publications
Qingwei Lin
22 publications
Milos Hasan
19 publications

∙ 07/06/2023

PSDR-Room: Single Photo to Scene using Differentiable Rendering

A 3D digital scene contains many components: lights, materials and geome...

0 Kai Yan, et al. ∙

∙ 10/18/2022

CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations

Although reinforcement learning has found widespread use in dense reward...

0 Kai Yan, et al. ∙

∙ 05/02/2022

Physics-Based Inverse Rendering using Combined Implicit and Explicit Geometries

Mathematically representing the shape of an object is a key ingredient f...

0 Guangyan Cai, et al. ∙

∙ 04/28/2022

Improving the estimation of directional area scattering factor (DASF) from canopy reflectance: theoretical basis and validation

Directional area scattering factor (DASF) is a critical canopy structura...

0 Yi Lin, et al. ∙

∙ 11/22/2021

A Surrogate Objective Framework for Prediction+Optimization with Soft Constraints

Prediction+optimization is a common real-world paradigm where we have to...

0 Kai Yan, et al. ∙

∙ 08/14/2021

A Microscopic Pandemic Simulator for Pandemic Prediction Using Scalable Million-Agent Reinforcement Learning

Microscopic epidemic models are powerful tools for government policy mak...

0 Zhenggang Tang, et al. ∙

∙ 10/07/2020

DML-GANR: Deep Metric Learning With Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Image Retrieval

With a small number of labeled samples for training, it can save conside...

0 Yun Cao, et al. ∙

∙ 01/17/2020

Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory

Deep reinforcement learning (RL) has achieved outstanding results in rec...

0 Yunlong Lu, et al. ∙

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