Search Results for author: Xin Pei

Found 9 papers, 1 papers with code

Unify Change Point Detection and Segment Classification in a Regression Task for Transportation Mode Identification

1 code implementation8 Dec 2023 Rongsong Li, Xin Pei

To solve above-mentioned problems, inspired by YOLO and SSD in object detection, we propose to reframe change point detection and segment classification as a unified regression task instead of the existing classification task.

Change Point Detection Classification +2

Multi-dimensional Racism Classification during COVID-19: Stigmatization, Offensiveness, Blame, and Exclusion

no code implementations29 Aug 2022 Xin Pei, Deval Mehta

With the aid of BERT and topic modeling, this categorical detection enables insights into the underlying subtlety of racist discussion on digital platforms during COVID-19.

DMRVisNet: Deep Multi-head Regression Network for Pixel-wise Visibility Estimation Under Foggy Weather

no code implementations8 Dec 2021 Jing You, Shaocheng Jia, Xin Pei, Danya Yao

Therefore, precisely estimating the visibility under foggy weather can significantly benefit traffic management and safety.

Decision Making Management +1

Divide and Explore: Multi-Agent Separate Exploration with Shared Intrinsic Motivations

no code implementations29 Sep 2021 Xiao Jing, Zhenwei Zhu, Hongliang Li, Xin Pei, Yoshua Bengio, Tong Che, Hongyong Song

One of the greatest challenges of reinforcement learning is efficient exploration, especially when training signals are sparse or deceptive.

Distributed Computing Efficient Exploration

Beyond a binary of (non)racist tweets: A four-dimensional categorical detection and analysis of racist and xenophobic opinions on Twitter in early Covid-19

no code implementations18 Jul 2021 Xin Pei, Deval Mehta

Transcending the binary categorization of racist and xenophobic texts, this research takes cues from social science theories to develop a four dimensional category for racism and xenophobia detection, namely stigmatization, offensiveness, blame, and exclusion.

Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos

no code implementations7 Jun 2021 Shaocheng Jia, Xin Pei, Wei Yao, S. C. Wong

Self-supervised depth estimation has drawn much attention in recent years as it does not require labeled data but image sequences.

Autonomous Driving Depth Estimation

#Coronavirus or #Chinesevirus?!: Understanding the negative sentiment reflected in Tweets with racist hashtags across the development of COVID-19

no code implementations17 May 2020 Xin Pei, Deval Mehta

Situated in the global outbreak of COVID-19, our study enriches the discussion concerning the emergent racism and xenophobia on social media.

Keyword Extraction Sentiment Analysis

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