b'Fan Wang'

ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction

Effective molecular representation learning is of great importance to fa...
06/11/2021 ∙ by Xiaomin Fang, et al. ∙ 0 ∙ share

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An Empirical Study of Vehicle Re-Identification on the AI City Challenge

This paper introduces our solution for the Track2 in AI City Challenge 2...
05/20/2021 ∙ by Hao Luo, et al. ∙ 11 ∙ share

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City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones

Multi-Target Multi-Camera Tracking has a wide range of applications and ...
05/14/2021 ∙ by Chong Liu, et al. ∙ 12 ∙ share

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A Unified Pre-training Framework for Conversational AI

In this work, we explore the application of PLATO-2 on various dialogue ...
05/06/2021 ∙ by Siqi Bao, et al. ∙ 0 ∙ share

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Two-Grid Domain Decomposition Methods for the Coupled Stokes-Darcy System

In this paper, we propose two novel Robin-type domain decomposition meth...
04/28/2021 ∙ by Yizhong Sun, et al. ∙ 0 ∙ share

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Augmented Transformer with Adaptive Graph for Temporal Action Proposal Generation

Temporal action proposal generation (TAPG) is a fundamental and challeng...
03/30/2021 ∙ by Shuning Chang, et al. ∙ 9 ∙ share

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Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning

Electric Vehicle (EV) has become a preferable choice in the modern trans...
02/15/2021 ∙ by Weijia Zhang, et al. ∙ 0 ∙ share

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TransReID: Transformer-based Object Re-Identification

In this paper, we explore the Vision Transformer (ViT), a pure transform...
02/08/2021 ∙ by Shuting He, et al. ∙ 28 ∙ share

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Learning to Select External Knowledge with Multi-Scale Negative Sampling

The Track-1 of DSTC9 aims to effectively answer user requests or questio...
02/03/2021 ∙ by Huang He, et al. ∙ 0 ∙ share

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1st Place Solution to ECCV-TAO-2020: Detect and Represent Any Object for Tracking

We extend the classical tracking-by-detection paradigm to this tracking-...
01/20/2021 ∙ by Fei Du, et al. ∙ 11 ∙ share

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Multi-object Tracking with a Hierarchical Single-branch Network

Recent Multiple Object Tracking (MOT) methods have gradually attempted t...
01/06/2021 ∙ by Fan Wang, et al. ∙ 0 ∙ share

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1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identification

This paper presents our proposed methods for domain adaptive pedestrian ...
12/25/2020 ∙ by Jianyang Gu, et al. ∙ 3 ∙ share

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Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction

Accurately predicting the binding affinity between drugs and proteins is...
12/17/2020 ∙ by Jingbo Zhou, et al. ∙ 0 ∙ share

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Proactive Interaction Framework for Intelligent Social Receptionist Robots

Proactive human-robot interaction (HRI) allows the receptionist robots t...
12/09/2020 ∙ by Yang Xue, et al. ∙ 0 ∙ share

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Boosting Image Super-Resolution Via Fusion of Complementary Information Captured by Multi-Modal Sensors

Image Super-Resolution (SR) provides a promising technique to enhance th...
12/07/2020 ∙ by Fan Wang, et al. ∙ 0 ∙ share

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Infrared small target detection based on isotropic constraint under complex background

Infrared search and tracking (IRST) system has been widely concerned and...
11/24/2020 ∙ by Fan Wang, et al. ∙ 3 ∙ share

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Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model

Over the past two decades, traditional block-based video coding has made...
07/09/2020 ∙ by Haojie Liu, et al. ∙ 0 ∙ share

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PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning

To build a high-quality open-domain chatbot, we introduce the effective ...
06/30/2020 ∙ by Siqi Bao, et al. ∙ 0 ∙ share

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SUPER: A Novel Lane Detection System

AI-based lane detection algorithms were actively studied over the last f...
05/14/2020 ∙ by Pingping Lu, et al. ∙ 0 ∙ share

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PSDet: Efficient and Universal Parking Slot Detection

While real-time parking slot detection plays a critical role in valet pa...
05/12/2020 ∙ by Zizhang Wu, et al. ∙ 3 ∙ share

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Multi-Domain Learning and Identity Mining for Vehicle Re-Identification

This paper introduces our solution for the Track2 in AI City Challenge 2...
04/22/2020 ∙ by Shuting He, et al. ∙ 1 ∙ share

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Efficient and Robust Reinforcement Learning with Uncertainty-based Value Expansion

By integrating dynamics models into model-free reinforcement learning (R...
12/10/2019 ∙ by Bo Zhou, et al. ∙ 0 ∙ share

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MBCAL: A Simple and Efficient Reinforcement Learning Method for Recommendation Systems

It has been widely regarded that only considering the immediate user fee...
11/06/2019 ∙ by Fan Wang, et al. ∙ 0 ∙ share

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PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable

Pre-training models have been proved effective for a wide range of natur...
10/17/2019 ∙ by Siqi Bao, et al. ∙ 0 ∙ share

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Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection

In human conversation an input post is open to multiple potential respon...
06/05/2019 ∙ by Chaotao Chen, et al. ∙ 0 ∙ share

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Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment

In this paper, a novel Generation-Evaluation framework is developed for ...
06/03/2019 ∙ by Siqi Bao, et al. ∙ 0 ∙ share

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Learning to Select Knowledge for Response Generation in Dialog Systems

Generating informative responses in end-to-end neural dialogue systems a...
02/13/2019 ∙ by Rongzhong Lian, et al. ∙ 0 ∙ share

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Artificial Intelligence for Prosthetics - challenge solutions

In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, p...
02/07/2019 ∙ by Łukasz Kidziński, et al. ∙ 0 ∙ share

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Sequential Evaluation and Generation Framework for Combinatorial Recommender System

Typical recommender systems push K items at once in the result page in t...
02/01/2019 ∙ by Fan Wang, et al. ∙ 0 ∙ share

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Stable bin packing of non-convex 3D objects with a robot manipulator

Recent progress in the field of robotic manipulation has generated inter...
12/10/2018 ∙ by Fan Wang, et al. ∙ 0 ∙ share

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Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation

Combining deep neural networks with reinforcement learning has shown gre...
11/15/2018 ∙ by Fan Wang, et al. ∙ 0 ∙ share

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High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking

Penalized likelihood methods are widely used for high-dimensional regres...
08/02/2018 ∙ by Fan Wang, et al. ∙ 0 ∙ share

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3D-Assisted Image Feature Synthesis for Novel Views of an Object

Comparing two images in a view-invariant way has been a challenging prob...
11/26/2014 ∙ by Hao Su, et al. ∙ 0 ∙ share

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Fan Wang

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