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Blog Post number 1

less than 1 minute read

Published: August 14, 2012

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

publications

MOBA-Slice: A Time Slice Based Evaluation Framework of Relative Advantage Between Teams in MOBA Games

Lijun Yu, Dawei Zhang, Xiangqun Chen, Xing Xie
In IJCAI CGW, 2018

Traffic Danger Recognition With Surveillance Cameras Without Training Data

Lijun Yu, Dawei Zhang, Xiaojun Chang, Xiangqun Chen, Alexander G. Hauptmann
In AVSS and ICCV Demo, 2018

MMVG-INF-Etrol@ TRECVID 2019: Activities in Extended Video

Xiaojun Chang, Wenhe Liu, Po-Yao Huang, Changlin Li, Fengda Zhu, Mingfei Han, Mingjie Li, Mengyuan Ma, Siyi Hu, Guoliang Kang, Junwei Liang, Liangke Gui, Lijun Yu, Yijun Qian, Jing Wen, Alexander G. Hauptmann
In TRECVID, 2019

Training-free Monocular 3D Event Detection System for Traffic Surveillance

Lijun Yu, Peng Chen, Wenhe Liu, Guoliang Kang, Alexander G. Hauptmann
In Big Data, 2019

Adaptive Feature Aggregation for Video Object Detection

Yijun Qian, Lijun Yu, Wenhe Liu, Guoliang Kang, Alexander G. Hauptmann
In WACVW, 2020

Argus: Efficient Activity Detection System for Extended Video Analysis

Wenhe Liu, Guoliang Kang, Po-Yao Huang, Xiaojun Chang, Lijun Yu, Yijun Qian, Junwei Liang, Liangke Gui, Jing Wen, Peng Chen, Alexander G. Hauptmann
In WACVW, 2020

ELECTRICITY: An Efficient Multi-camera Vehicle Tracking System for Intelligent City

Yijun Qian*, Lijun Yu*, Wenhe Liu, Alexander G. Hauptmann (*Equal contribution)
In CVPRW, 2020

Zero-VIRUS: Zero-shot VehIcle Route Understanding System for Intelligent Transportation

Lijun Yu, Qianyu Feng, Yijun Qian, Wenhe Liu, Alexander G. Hauptmann
In CVPRW, 2020

CMU Informedia at TRECVID 2020: Activity Detection with Dense Spatio-Temporal Proposals

Lijun Yu, Yijun Qian, Wenhe Liu, Alexander G. Hauptmann
In TRECVID, 2020

CMU Informedia at TRECVID 2021: Activity Detection with Argus++

Lijun Yu, Yijun Qian, Wenhe Liu, Alexander G. Hauptmann
In TRECVID, 2021

Learning Unbiased Transformer for Long-Tail Sports Action Classification

Yijun Qian, Lijun Yu, Wenhe Liu, Alexander G. Hauptmann
In MediaEval, 2021

TRM: Temporal Relocation Module for Video Recognition

Yijun Qian, Guoliang Kang, Lijun Yu, Wenhe Liu, Alexander G. Hauptmann
In WACVW, 2022

Argus++: Robust Real-time Activity Detection for Unconstrained Video Streams with Overlapping Cube Proposals

Lijun Yu, Yijun Qian, Wenhe Liu, Alexander G. Hauptmann
In WACVW, 2022

Rethinking Zero-Shot Action Recognition: Learning from Latent Atomic Actions

Yijun Qian, Lijun Yu, Wenhe Liu, Alexander G. Hauptmann
In ECCV, 2022

Score-based Continuous-Time Discrete Diffusion Models

Haoran Sun, Lijun Yu, Bo Dai, Dale Schuurmans, Hanjun Dai
In ICLR, 2023

MAGVIT: Masked Generative Video Transformer

Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang
In CVPR (Highlight), 2023

SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs

Lijun Yu, Yong Cheng, Zhiruo Wang, Vivek Kumar, Wolfgang Macherey, Yanping Huang, David A. Ross, Irfan Essa, Yonatan Bisk, Ming-Hsuan Yang, Kevin Murphy, Alexander G. Hauptmann, Lu Jiang
In NeurIPS (Spotlight), 2023

Language Model Beats Diffusion - Tokenizer is Key to Visual Generation

Lijun Yu, José Lezama, Nitesh B. Gundavarapu, Luca Versari, Kihyuk Sohn, David Minnen, Yong Cheng, Agrim Gupta, Xiuye Gu, Alexander G. Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David A. Ross, Lu Jiang
In ICLR, 2024

VideoPoet: A Large Language Model for Zero-Shot Video Generation

Dan Kondratyuk*, Lijun Yu*, Xiuye Gu*, José Lezama*, Jonathan Huang*, Grant Schindler, Rachel Hornung, Vighnesh Birodkar, Jimmy Yan, Ming-Chang Chiu, Krishna Somandepalli, Hassan Akbari, Yair Alon, Yong Cheng, Josh Dillon, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, Mikhail Sirotenko, Kihyuk Sohn, Xuan Yang, Hartwig Adam, Ming-Hsuan Yang, Irfan Essa, Huisheng Wang, David A. Ross, Bryan Seybold*, Lu Jiang* (*Equal contribution)
In ICML (Best Paper Award, Oral), 2024

Towards Multi-Task Multi-Modal Models: A Video Generative Perspective

Lijun Yu
In CMU Ph.D. Thesis, 2024

Photorealistic Video Generation with Diffusion Models

Agrim Gupta, Lijun Yu, Kihyuk Sohn, Xiuye Gu, Meera Hahn, Li Fei-Fei, Irfan Essa, Lu Jiang, José Lezama
In ECCV, 2024

Lijun Yu 于力军

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