Mengshi Qi

According to our database, Mengshi Qi authored at least 40 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion.

Haowen Wang, Zhengping Che, Yufan Yang, Mingyuan Wang, Zhiyuan Xu, Xiuquan Qiao, Mengshi Qi, Feifei Feng, Jian Tang

IEEE Trans. Pattern Anal. Mach. Intell., November, 2024

Mutual Distillation Learning for Person Re-Identification.

Huiyuan Fu, Kuilong Cui, Chuanming Wang, Mengshi Qi, Huadong Ma

IEEE Trans. Multim., 2024

Learning Group Interactions and Semantic Intentions for Multi-Object Trajectory Prediction.

Mengshi Qi, Yuxin Yang, Huadong Ma

CoRR, 2024

T2SG: Traffic Topology Scene Graph for Topology Reasoning in Autonomous Driving.

Changsheng Lv, Mengshi Qi, Liang Liu, Huadong Ma

CoRR, 2024

Improving Batch Normalization with TTA for Robust Object Detection in Self-Driving.

Dacheng Liao, Mengshi Qi, Liang Liu, Huadong Ma

CoRR, 2024

Adversarial Contrastive Learning Based Physics-Informed Temporal Networks for Cuffless Blood Pressure Estimation.

Rui Wang, Mengshi Qi, Yingxia Shao, Anfu Zhou, Huadong Ma

CoRR, 2024

Uncovering the human motion pattern: Pattern Memory-based Diffusion Model for Trajectory Prediction.

Yuxin Yang, Pengfei Zhu, Mengshi Qi, Huadong Ma

CoRR, 2024

Efficient Cloud-edge Collaborative Inference for Object Re-identification.

Chuanming Wang, Yuxin Yang, Mengshi Qi, Huadong Ma

CoRR, 2024

Following in the Footsteps: Predicting Human Trajectories Using Motion Pattern Memory.

Yuxin Yang, Pengfei Zhu, Mengshi Qi, Huadong Ma

Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024

RoboFormer: A Robust Multi-Modal Transformer for 3D Object Detection in Autonomous Driving.

Yuang Liu, Dacheng Liao, Mengshi Qi, Liang Liu, Huadong Ma

Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024

Multi-Stage Contrastive Regression for Action Quality Assessment.

Qi An, Mengshi Qi, Huadong Ma

Proceedings of the IEEE International Conference on Acoustics, 2024

Decomposed Vector-Quantized Variational Autoencoder for Human Grasp Generation.

Zhe Zhao, Mengshi Qi, Huadong Ma

Proceedings of the Computer Vision - ECCV 2024, 2024

Semi-supervised Teacher-Reference-Student Architecture for Action Quality Assessment.

Wulian Yun, Mengshi Qi, Fei Peng, Huadong Ma

Proceedings of the Computer Vision - ECCV 2024, 2024

Weakly-Supervised Temporal Action Localization by Inferring Salient Snippet-Feature.

Wulian Yun, Mengshi Qi, Chuanming Wang, Huadong Ma

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

SGFormer: Semantic Graph Transformer for Point Cloud-Based 3D Scene Graph Generation.

Changsheng Lv, Mengshi Qi, Xia Li, Zhengyuan Yang, Huadong Ma

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

GaitReload: A Reloading Framework for Defending Against On-Manifold Adversarial Gait Sequences.

Peilun Du, Xiaolong Zheng, Mengshi Qi, Huadong Ma

IEEE Trans. Inf. Forensics Secur., 2023

VIoTGPT: Learning to Schedule Vision Tools towards Intelligent Video Internet of Things.

Yaoyao Zhong, Mengshi Qi, Rui Wang, Yuhan Qiu, Yang Zhang, Huadong Ma

CoRR, 2023

RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion.

Haowen Wang, Zhengping Che, Mingyuan Wang, Zhiyuan Xu, Xiuquan Qiao, Mengshi Qi, Feifei Feng, Jian Tang

CoRR, 2023

Weakly-Supervised Temporal Action Localization by Inferring Snippet-Feature Affinity.

Wulian Yun, Mengshi Qi, Chuanming Wang, Huadong Ma

CoRR, 2023

Revisiting Transformer for Point Cloud-based 3D Scene Graph Generation.

Changsheng Lv, Mengshi Qi, Xia Li, Zhengyuan Yang, Huadong Ma

CoRR, 2023

Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning.

Changsheng Lv, Shuai Zhang, Yapeng Tian, Mengshi Qi, Huadong Ma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding.

Pengfei Zhu, Mengshi Qi, Xia Li, Weijian Li, Huadong Ma

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Coarse-to-Fine Video Denoising with Dual-Stage Spatial-Channel Transformer.

Wulian Yun, Mengshi Qi, Chuanming Wang, Huiyuan Fu, Huadong Ma

CoRR, 2022

Attention-Aware Multiple Granularities Network for Player Re-Identification.

Qi An, Kuilong Cui, Rongshuai Liu, Chuanming Wang, Mengshi Qi, Huadong Ma

Proceedings of the MMSports@MM 2022: Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports, 2022

Towards Adversarial Robust Representation Through Adversarial Contrastive Decoupling.

Peilun Du, Xiaolong Zheng, Mengshi Qi, Liang Liu, Huadong Ma

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

RGB-Depth Fusion GAN for Indoor Depth Completion.

Haowen Wang, Mingyuan Wang, Zhengping Che, Zhiyuan Xu, Xiuquan Qiao, Mengshi Qi, Feifei Feng, Jian Tang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Semantics-Aware Spatial-Temporal Binaries for Cross-Modal Video Retrieval.

Mengshi Qi, Jie Qin, Yi Yang, Yunhong Wang, Jiebo Luo

IEEE Trans. Image Process., 2021

Latent Memory-augmented Graph Transformer for Visual Storytelling.

Mengshi Qi, Jie Qin, Di Huang, Zhiqiang Shen, Yi Yang, Jiebo Luo

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

STC-GAN: Spatio-Temporally Coupled Generative Adversarial Networks for Predictive Scene Parsing.

Mengshi Qi, Yunhong Wang, Annan Li, Jiebo Luo

IEEE Trans. Image Process., 2020

stagNet: An Attentive Semantic RNN for Group Activity and Individual Action Recognition.

Mengshi Qi, Yunhong Wang, Jie Qin, Annan Li, Jiebo Luo, Luc Van Gool

IEEE Trans. Circuits Syst. Video Technol., 2020

Sports Video Captioning via Attentive Motion Representation and Group Relationship Modeling.

Mengshi Qi, Yunhong Wang, Annan Li, Jiebo Luo

IEEE Trans. Circuits Syst. Video Technol., 2020

Unsupervised Domain Adaptation with Temporal-Consistent Self-Training for 3D Hand-Object Joint Reconstruction.

Mengshi Qi, Edoardo Remelli, Mathieu Salzmann, Pascal Fua

CoRR, 2020

Few-Shot Ensemble Learning for Video Classification with SlowFast Memory Networks.

Mengshi Qi, Jie Qin, Xiantong Zhen, Di Huang, Yi Yang, Jiebo Luo

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation.

Mengshi Qi, Jie Qin, Yu Wu, Yi Yang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing.

Mengshi Qi, Yunhong Wang, Jie Qin, Annan Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Attentive Relational Networks for Mapping Images to Scene Graphs.

Mengshi Qi, Weijian Li, Zhengyuan Yang, Yunhong Wang, Jiebo Luo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Sports Video Captioning by Attentive Motion Representation based Hierarchical Recurrent Neural Networks.

Mengshi Qi, Yunhong Wang, Annan Li, Jiebo Luo

Proceedings of the 1st International Workshop on Multimedia Content Analysis in Sports, 2018

stagNet: An Attentive Semantic RNN for Group Activity Recognition.

Mengshi Qi, Jie Qin, Annan Li, Yunhong Wang, Jiebo Luo, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Online Cross-Modal Scene Retrieval by Binary Representation and Semantic Graph.

Mengshi Qi, Yunhong Wang, Annan Li

Proceedings of the 2017 ACM on Multimedia Conference, 2017

2016

DEEP-CSSR: Scene classification using category-specific salient region with deep features.

Mengshi Qi, Yunhong Wang

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016