-
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning
Haotian Zhang*, Mingfei Gao*, Zhe Gan*, Philipp Dufter, Nina Wenzel, Forrest Huang, Dhruti Shah, Xianzhi Du, Bowen Zhang, Yanghao Li,
Sam Dodge, Keen You, Zhen Yang, Aleksei Timofeev, Mingze Xu, Hong-You Chen, Jean-Philippe Fauconnier,
Zhengfeng Lai, Haoxuan You, Zirui Wang, Afshin Dehghan, Peter Grasch, Yinfei Yang
Technical Report (arXiv:2409.20566), 2024
[PDF]
-
SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models
Mingze Xu*, Mingfei Gao*, Zhe Gan, Hong-You Chen, Zhengfeng Lai, Haiming Gang, Kai Kang, Afshin Dehghan
Technical Report (arXiv:2407.15841), 2024
[PDF]
[Code]
-
SkeleTR: Towards Skeleton-based Action Recognition in the Wild
Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo
IEEE International Conference on Computer Vision (ICCV), 2023
[PDF]
-
An In-depth Study of Stochastic Backpropagation
Jun Fang, Mingze Xu†, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe
Conference on Neural Information Processing Systems (NeurIPS), 2022
[PDF]
[Code]
-
MeMOT: Multi-Object Tracking with Memory
Jiarui Cai, Mingze Xu†, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (Oral)
[PDF]
-
Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models
Feng Cheng, Mingze Xu†, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Li, Wei Xia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (Oral)
[PDF]
[Code]
-
TubeR: Tubelet Transformer for Video Action Detection
Jiaojiao Zhao*, Yanyi Zhang*, Xinyu Li*, Hao Chen, Shuai Bing, Mingze Xu, Chunhui Liu, Kaustav Kundu, Yuanjun Xiong, Davide Modolo, Ivan Marsic, Cees Snoek, Joseph Tighe
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (Oral)
[PDF]
[Code]
-
DoTA: Unsupervised Detection of Traffic Anomaly in Driving Videos
Yu Yao, Xizi Wang, Mingze Xu, Zelin Pu, Yuchen Wang, Ella Atkins, David Crandall
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022
[PDF]
[Data]
-
Stepwise Goal-Driven Networks for Trajectory Prediction
Chuhua Wang*, Yuchen Wang*, Mingze Xu, David Crandall
IEEE Robotics and Automation Letters (RA-L), 2022
[PDF]
[Code]
-
Long Short-Term Transformer for Online Action Detection
Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto
Conference on Neural Information Processing Systems (NeurIPS), 2021 (Spotlight)
[PDF]
[Project page]
-
Learning Self-Consistency for Deepfake Detection
Tianchen Zhao, Xiang Xu, Mingze Xu, Hui Ding, Yuanjun Xiong, Wei Xia
IEEE International Conference on Computer Vision (ICCV), 2021 (Oral)
[PDF]
-
Temporal Recurrent Networks for Online Action Detection
Mingze Xu*, Mingfei Gao*, Yi-Ting Chen, Larry Davis, David Crandall
IEEE International Conference on Computer Vision (ICCV), 2019
[PDF]
[Code]
-
StartNet: Online Detection of Action Start in Untrimmed Videos
Mingfei Gao, Mingze Xu, Larry Davis, Richard Socher, Caiming Xiong
IEEE International Conference on Computer Vision (ICCV), 2019
[PDF]
-
Embodied Amodal Recognition: Learning to Move to Perceive Objects
Jianwei Yang*, Zhile Ren*, Mingze Xu, Xinlei Chen, David Crandall, Devi Parikh, Dhruv Batra
IEEE International Conference on Computer Vision (ICCV), 2019
[PDF]
-
Unsupervised Traffic Accident Detection in First-Person Videos
Mingze Xu*, Yu Yao*, Yuchen Wang, David Crandall, Ella Atkins
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
[PDF]
[Code]
-
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems
Yu Yao, Mingze Xu, Chiho Choi, David Crandall, Ella Atkins, Behzad Dariush
IEEE International Conference on Robotics and Automation (ICRA), 2019
[PDF]
[Code]
-
Joint Person Segmentation and Identification in Synchronized First- and Third-Person Videos
Mingze Xu, Chenyou Fan, Yuchen Wang, Michael Ryoo, David Crandall
European Conference on Computer Vision (ECCV), 2018
[PDF]
[Project page]