Shentong Mo

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 71

Top Topics

Information Bottleneck

Action Recognition In Videos

Top Venues

Publications

Shentong Mo, Xufang Luo, Yansen Wang, Dongsheng Li
A Large-scale Medical Visual Task Adaptation Benchmark. CoRR (2024)
Shentong Mo, Miao Xin
BSTG-Trans: A Bayesian Spatial-Temporal Graph Transformer for Long-Term Pose Forecasting. IEEE Trans. Multim. 26 (2024)
Xiaokang Chen, Mingyu Ding, Xiaodi Wang, Ying Xin, Shentong Mo, Yunhao Wang, Shumin Han, Ping Luo, Gang Zeng, Jingdong Wang
Context Autoencoder for Self-supervised Representation Learning. Int. J. Comput. Vis. 132 (1) (2024)
Shentong Mo, Yapeng Tian
Semantic Grouping Network for Audio Source Separation. CoRR (2024)
Miao Xin, Zhongrui You, Zihan Zhang, Taoran Jiang, Tingjia Xu, Haotian Liang, Guojing Ge, Yuchen Ji, Shentong Mo, Jian Cheng
We Choose to Go to Space: Agent-driven Human and Multi-Robot Collaboration in Microgravity. CoRR (2024)
Shentong Mo, Yansen Wang, Xufang Luo, Dongsheng Li
LSPT: Long-term Spatial Prompt Tuning for Visual Representation Learning. CoRR (2024)
Shentong Mo, Sukmin Yun
DMT-JEPA: Discriminative Masked Targets for Joint-Embedding Predictive Architecture. CoRR (2024)
Shentong Mo, Pedro Morgado
Audio-visual Generalized Zero-shot Learning the Easy Way. CoRR (2024)
Lin Zhang, Shentong Mo, Yijing Zhang, Pedro Morgado
Audio-Synchronized Visual Animation. CoRR (2024)
Shentong Mo, Yapeng Tian
Scaling Diffusion Mamba with Bidirectional SSMs for Efficient Image and Video Generation. CoRR (2024)
Jiantao Wu, Shentong Mo, Sara Atito, Zhenhua Feng, Josef Kittler, Muhammad Awais
DailyMAE: Towards Pretraining Masked Autoencoders in One Day. CoRR (2024)
Shentong Mo, Jing Shi, Yapeng Tian
Text-to-Audio Generation Synchronized with Videos. CoRR (2024)
Shentong Mo, Haofan Wang, Huaxia Li, Xu Tang
Unified Video-Language Pre-training with Synchronized Audio. CoRR (2024)
Shentong Mo, Russ Salakhutdinov, Louis-Philippe Morency, Paul Pu Liang
IoT-LM: Large Multisensory Language Models for the Internet of Things. CoRR (2024)
Shentong Mo, Miao Xin
Tree of Uncertain Thoughts Reasoning for Large Language Models. ICASSP (2024)
Shentong Mo
Efficient 3D Shape Generation via Diffusion Mamba with Bidirectional SSMs. CoRR (2024)
Tanvir Mahmud, Shentong Mo, Yapeng Tian, Diana Marculescu
MA-AVT: Modality Alignment for Parameter-Efficient Audio-Visual Transformers. CoRR (2024)
Shentong Mo, Enze Xie, Yue Wu, Junsong Chen, Matthias Nießner, Zhenguo Li
Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation. CoRR (2023)
Shentong Mo, Weiguo Pian, Yapeng Tian
Class-Incremental Grouping Network for Continual Audio-Visual Learning. CoRR (2023)
Jiantao Wu, Shentong Mo, Xingshen Zhang, Muhammad Awais, Sara Ahmed, Zhenhua Feng, Lin Wang, Xiang Yang
Variational Autoencoders with Decremental Information Bottleneck for Disentanglement. BMVC (2023)
Shentong Mo, Weiguo Pian, Yapeng Tian
Class-Incremental Grouping Network for Continual Audio-Visual Learning. ICCV (2023)
Shentong Mo, Enze Xie, Ruihang Chu, Lewei Yao, Lanqing Hong, Matthias Nießner, Zhenguo Li
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation. CoRR (2023)
Shentong Mo, Pedro Morgado
Unveiling the Power of Audio-Visual Early Fusion Transformers with Dense Interactions through Masked Modeling. CoRR (2023)
Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya Jia
DiffComplete: Diffusion-based Generative 3D Shape Completion. NeurIPS (2023)
Shentong Mo, Zhun Sun, Chao Li
Multi-level Contrastive Learning for Self-Supervised Vision Transformers. WACV (2023)
Shentong Mo, Miao Xin
Tree of Uncertain Thoughts Reasoning for Large Language Models. CoRR (2023)
Weiguo Pian, Shentong Mo, Yunhui Guo, Yapeng Tian
Audio-Visual Class-Incremental Learning. ICCV (2023)
Shentong Mo, Bhiksha Raj
Weakly-Supervised Audio-Visual Segmentation. NeurIPS (2023)
Shentong Mo, Bhiksha Raj
Weakly-Supervised Audio-Visual Segmentation. CoRR (2023)
Shentong Mo, Yapeng Tian
Audio-Visual Grouping Network for Sound Localization from Mixtures. CVPR (2023)
Shentong Mo, Enze Xie, Ruihang Chu, Lanqing Hong, Matthias Nießner, Zhenguo Li
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation. NeurIPS (2023)
Paul Pu Liang, Yiwei Lyu, Xiang Fan, Jeffrey Tsaw, Yudong Liu, Shentong Mo, Dani Yogatama, Louis-Philippe Morency, Russ Salakhutdinov
High-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning. Trans. Mach. Learn. Res. 2023 (2023)
Jiantao Wu, Shentong Mo, Sara Atito, Josef Kittler, Zhenhua Feng, Muhammad Awais
Beyond Accuracy: Statistical Measures and Benchmark for Evaluation of Representation from Self-Supervised Learning. CoRR (2023)
Shentong Mo, Pedro Morgado
A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition. ICML (2023)
Shentong Mo, Zhun Sun, Chao Li
Representation Disentanglement in Generative Models with Contrastive Learning. WACV (2023)
Shentong Mo, Yapeng Tian
AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation. CoRR (2023)
Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya Jia
DiffComplete: Diffusion-based Generative 3D Shape Completion. CoRR (2023)
Shentong Mo, Jingfei Xia, Ihor Markevych
CAVL: Learning Contrastive and Adaptive Representations of Vision and Language. CoRR (2023)
Weiguo Pian, Shentong Mo, Yunhui Guo, Yapeng Tian
Audio-Visual Class-Incremental Learning. CoRR (2023)
Shentong Mo, Zhun Sun, Chao Li
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models. CoRR (2023)
Jiantao Wu, Shentong Mo, Muhammad Awais, Sara Atito, Zhenhua Feng, Josef Kittler
Masked Momentum Contrastive Learning for Zero-shot Semantic Understanding. CoRR (2023)
Shentong Mo, Jing Shi, Yapeng Tian
DiffAVA: Personalized Text-to-Audio Generation with Visual Alignment. CoRR (2023)
Jiantao Wu, Shentong Mo, Muhammad Awais, Sara Atito, Xingshen Zhang, Lin Wang, Xiang Yang
Variantional autoencoder with decremental information bottleneck for disentanglement. CoRR (2023)
Shentong Mo, Yapeng Tian
Audio-Visual Grouping Network for Sound Localization from Mixtures. CoRR (2023)
Shentong Mo, Paul Pu Liang, Russ Salakhutdinov, Louis-Philippe Morency
MultiIoT: Towards Large-scale Multisensory Learning for the Internet of Things. CoRR (2023)
Shentong Mo, Pedro Morgado
A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition. CoRR (2023)
Shentong Mo, Zhun Sun, Chao Li
Siamese Prototypical Contrastive Learning. CoRR (2022)
Fangyi Chen, Han Zhang, Zaiwang Li, Jiachen Dou, Shentong Mo, Hao Chen, Yongxin Zhang, Uzair Ahmed, Chenchen Zhu, Marios Savvides
Unitail: Detecting, Reading, and Matching in Retail Scene. CoRR (2022)
Shentong Mo, Yapeng Tian
Multi-modal Grouping Network for Weakly-Supervised Audio-Visual Video Parsing. NeurIPS (2022)
Fangyi Chen, Han Zhang, Zaiwang Li, Jiachen Dou, Shentong Mo, Hao Chen, Yongxin Zhang, Uzair Ahmed, Chenchen Zhu, Marios Savvides
Unitail: Detecting, Reading, and Matching in Retail Scene. ECCV (7) (2022)
Xiaokang Chen, Mingyu Ding, Xiaodi Wang, Ying Xin, Shentong Mo, Yunhao Wang, Shumin Han, Ping Luo, Gang Zeng, Jingdong Wang
Context Autoencoder for Self-Supervised Representation Learning. CoRR (2022)
Jiantao Wu, Shentong Mo
Object-wise Masked Autoencoders for Fast Pre-training. CoRR (2022)
Paul Pu Liang, Yiwei Lyu, Xiang Fan, Shentong Mo, Dani Yogatama, Louis-Philippe Morency, Ruslan Salakhutdinov
HighMMT: Towards Modality and Task Generalization for High-Modality Representation Learning. CoRR (2022)
Shentong Mo, Zhun Sun, Chao Li
Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation. CoRR (2022)
Shentong Mo, Pedro Morgado
A Closer Look at Weakly-Supervised Audio-Visual Source Localization. CoRR (2022)
Shentong Mo, Daizong Liu, Wei Hu
Multi-Scale Self-Contrastive Learning with Hard Negative Mining for Weakly-Supervised Query-based Video Grounding. CoRR (2022)
Shentong Mo, Pedro Morgado
A Closer Look at Weakly-Supervised Audio-Visual Source Localization. NeurIPS (2022)
Shentong Mo, Zhun Sun, Chao Li
Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation. BMVC (2022)
Shentong Mo, Jingfei Xia, Xiaoqing Tan, Bhiksha Raj
Point3D: tracking actions as moving points with 3D CNNs. CoRR (2022)
Shentong Mo, Pedro Morgado
Localizing Visual Sounds the Easy Way. ECCV (37) (2022)
Shentong Mo, Pedro Morgado
Localizing Visual Sounds the Easy Way. CoRR (2022)
Shentong Mo, Miao Xin
Long-Term Head Pose Forecasting Conditioned on the Gaze-Guiding Prior. CVPR Workshops (2021)
Jiantao Wu, Shentong Mo, Lin Wang
An Empirical Study of Uncertainty Gap for Disentangling Factors. Trustworthy AI @ ACM Multimedia (2021)
Shentong Mo, Xi Fu, Chenyang Hong, Yizhen Chen, Yuxuan Zheng, Xiangru Tang, Zhiqiang Shen, Eric P. Xing, Yanyan Lan
Multi-modal Self-supervised Pre-training for Regulatory Genome Across Cell Types. CoRR (2021)
Shentong Mo, Pengtao Xie
Learning by Examples Based on Multi-level Optimization. CoRR (2021)
Miao Xin, Shentong Mo, Yuanze Lin
EVA-GCN: Head Pose Estimation Based on Graph Convolutional Networks. CVPR Workshops (2021)
Shentong Mo, Xin Miao
OsGG-Net: One-step Graph Generation Network for Unbiased Head Pose Estimation. ACM Multimedia (2021)
Shentong Mo, Jingfei Xia, Xiaoqing Tan, Bhiksha Raj
Point3D: tracking actions as moving points with 3D CNNs. BMVC (2021)
Shentong Mo, Zhun Sun, Chao Li
Siamese Prototypical Contrastive Learning. BMVC (2021)
Shentong Mo, Xiaoqing Tan, Jingfei Xia, Pinxu Ren
Towards Improving Spatiotemporal Action Recognition in Videos. CoRR (2020)
Shentong Mo, Haofan Wang, Pinxu Ren, Ta-Chung Chi
Automatic Speech Verification Spoofing Detection. CoRR (2020)