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Shentong Mo
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2020 – today
- 2024
- [j3]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): 208-223 (2024) - [j2]Shentong Mo
BSTG-Trans: A Bayesian Spatial-Temporal Graph Transformer for Long-Term Pose Forecasting. IEEE Trans. Multim. 26: 673-686 (2024) - [c26]Tanvir Mahmud, Shentong Mo, Yapeng Tian, Diana Marculescu:
MA-AVT: Modality Alignment for Parameter-Efficient Audio-Visual Transformers. CVPR Workshops 2024: 7996-8005 - [c25]Shentong Mo, Pedro Morgado:
Unveiling the Power of Audio-Visual Early Fusion Transformers with Dense Interactions Through Masked Modeling. CVPR 2024: 27176-27186 - [c24]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. ECCV (84) 2024: 354-370 - [c23]Shentong Mo, Pedro Morgado:
Audio-Visual Generalized Zero-Shot Learning the Easy Way. ECCV (71) 2024: 377-395 - [c22]Shentong Mo, Miao Xin:
Tree of Uncertain Thoughts Reasoning for Large Language Models. ICASSP 2024: 12742-12746 - [i48]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 abs/2402.14299 (2024) - [i47]Shentong Mo, Yansen Wang, Xufang Luo, Dongsheng Li:
LSPT: Long-term Spatial Prompt Tuning for Visual Representation Learning. CoRR abs/2402.17406 (2024) - [i46]Lin Zhang, Shentong Mo, Yijing Zhang
Audio-Synchronized Visual Animation. CoRR abs/2403.05659 (2024) - [i45]Shentong Mo, Jing Shi, Yapeng Tian:
Text-to-Audio Generation Synchronized with Videos. CoRR abs/2403.07938 (2024) - [i44]Jiantao Wu, Shentong Mo, Sara Atito, Zhenhua Feng, Josef Kittler, Muhammad Awais:
DailyMAE: Towards Pretraining Masked Autoencoders in One Day. CoRR abs/2404.00509 (2024) - [i43]Shentong Mo, Xufang Luo, Yansen Wang, Dongsheng Li:
A Large-scale Medical Visual Task Adaptation Benchmark. CoRR abs/2404.12876 (2024) - [i42]Shentong Mo, Haofan Wang, Huaxia Li, Xu Tang:
Unified Video-Language Pre-training with Synchronized Audio. CoRR abs/2405.07202 (2024) - [i41]Shentong Mo, Yapeng Tian:
Scaling Diffusion Mamba with Bidirectional SSMs for Efficient Image and Video Generation. CoRR abs/2405.15881 (2024) - [i40]Shentong Mo, Sukmin Yun:
DMT-JEPA: Discriminative Masked Targets for Joint-Embedding Predictive Architecture. CoRR abs/2405.17995 (2024) - [i39]Tanvir Mahmud, Shentong Mo, Yapeng Tian, Diana Marculescu:
MA-AVT: Modality Alignment for Parameter-Efficient Audio-Visual Transformers. CoRR abs/2406.04930 (2024) - [i38]Shentong Mo:
Efficient 3D Shape Generation via Diffusion Mamba with Bidirectional SSMs. CoRR abs/2406.05038 (2024) - [i37]Shentong Mo, Yapeng Tian:
Semantic Grouping Network for Audio Source Separation. CoRR abs/2407.03736 (2024) - [i36]Shentong Mo, Russ Salakhutdinov, Louis-Philippe Morency, Paul Pu Liang:
IoT-LM: Large Multisensory Language Models for the Internet of Things. CoRR abs/2407.09801 (2024) - [i35]Shentong Mo, Pedro Morgado:
Audio-visual Generalized Zero-shot Learning the Easy Way. CoRR abs/2407.13095 (2024) - [i34]Shentong Mo, Paul Pu Liang:
MultiMed: Massively Multimodal and Multitask Medical Understanding. CoRR abs/2408.12682 (2024) - [i33]Shentong Mo, Haofan Wang:
Multi-scale Multi-instance Visual Sound Localization and Segmentation. CoRR abs/2409.00486 (2024) - 2023
- [j1]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) - [c21]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: 433-436 - [c20]Shentong Mo, Yapeng Tian:
Audio-Visual Grouping Network for Sound Localization from Mixtures. CVPR 2023: 10565-10574 - [c19]Shentong Mo, Weiguo Pian, Yapeng Tian:
Class-Incremental Grouping Network for Continual Audio-Visual Learning. ICCV 2023: 7754-7764 - [c18]Weiguo Pian, Shentong Mo, Yunhui Guo, Yapeng Tian:
Audio-Visual Class-Incremental Learning. ICCV 2023: 7765-7777 - [c17]Shentong Mo, Pedro Morgado:
A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition. ICML 2023: 25006-25017 - [c16]Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya Jia:
DiffComplete: Diffusion-based Generative 3D Shape Completion. NeurIPS 2023 - [c15]Shentong Mo, Bhiksha Raj:
Weakly-Supervised Audio-Visual Segmentation. NeurIPS 2023 - [c14]Shentong Mo, Enze Xie, Ruihang Chu, Lanqing Hong, Matthias Nießner, Zhenguo Li:
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation. NeurIPS 2023 - [c13]Shentong Mo, Zhun Sun, Chao Li:
Representation Disentanglement in Generative Models with Contrastive Learning. WACV 2023: 1531-1540 - [c12]Shentong Mo, Zhun Sun, Chao Li:
Multi-level Contrastive Learning for Self-Supervised Vision Transformers. WACV 2023: 2777-2786 - [i32]Jiantao Wu, Shentong Mo, Muhammad Awais, Sara Atito, Xingshen Zhang, Lin Wang, Xiang Yang:
Variantional autoencoder with decremental information bottleneck for disentanglement. CoRR abs/2303.12959 (2023) - [i31]Shentong Mo, Yapeng Tian:
Audio-Visual Grouping Network for Sound Localization from Mixtures. CoRR abs/2303.17056 (2023) - [i30]Shentong Mo, Jingfei Xia, Ihor Markevych:
CAVL: Learning Contrastive and Adaptive Representations of Vision and Language. CoRR abs/2304.04399 (2023) - [i29]Shentong Mo, Yapeng Tian:
AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation. CoRR abs/2305.01836 (2023) - [i28]Shentong Mo, Jing Shi, Yapeng Tian:
DiffAVA: Personalized Text-to-Audio Generation with Visual Alignment. CoRR abs/2305.12903 (2023) - [i27]Shentong Mo, Pedro Morgado:
A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition. CoRR abs/2305.19458 (2023) - [i26]Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya Jia:
DiffComplete: Diffusion-based Generative 3D Shape Completion. CoRR abs/2306.16329 (2023) - [i25]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 abs/2307.01831 (2023) - [i24]Weiguo Pian, Shentong Mo, Yunhui Guo, Yapeng Tian:
Audio-Visual Class-Incremental Learning. CoRR abs/2308.11073 (2023) - [i23]Jiantao Wu, Shentong Mo, Muhammad Awais, Sara Atito, Zhenhua Feng, Josef Kittler:
Masked Momentum Contrastive Learning for Zero-shot Semantic Understanding. CoRR abs/2308.11448 (2023) - [i22]Shentong Mo, Weiguo Pian, Yapeng Tian:
Class-Incremental Grouping Network for Continual Audio-Visual Learning. CoRR abs/2309.05281 (2023) - [i21]Shentong Mo, Miao Xin:
Tree of Uncertain Thoughts Reasoning for Large Language Models. CoRR abs/2309.07694 (2023) - [i20]Shentong Mo, Zhun Sun, Chao Li:
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models. CoRR abs/2310.18850 (2023) - [i19]Shentong Mo, Paul Pu Liang, Russ Salakhutdinov, Louis-Philippe Morency:
MultiIoT: Towards Large-scale Multisensory Learning for the Internet of Things. CoRR abs/2311.06217 (2023) - [i18]Shentong Mo, Bhiksha Raj:
Weakly-Supervised Audio-Visual Segmentation. CoRR abs/2311.15080 (2023) - [i17]Shentong Mo, Pedro Morgado
Unveiling the Power of Audio-Visual Early Fusion Transformers with Dense Interactions through Masked Modeling. CoRR abs/2312.01017 (2023) - [i16]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 abs/2312.01118 (2023) - [i15]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 abs/2312.07231 (2023) - 2022
- [c11]Shentong Mo, Zhun Sun, Chao Li:
Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation. BMVC 2022: 299 - [c10]Shentong Mo, Pedro Morgado
Localizing Visual Sounds the Easy Way. ECCV (37) 2022: 218-234 - [c9]Fangyi Chen, Han Zhang, Zaiwang Li, Jiachen Dou, Shentong Mo, Hao Chen, Yongxin Zhang
Unitail: Detecting, Reading, and Matching in Retail Scene. ECCV (7) 2022: 705-722 - [c8]Shentong Mo, Pedro Morgado:
A Closer Look at Weakly-Supervised Audio-Visual Source Localization. NeurIPS 2022 - [c7]Shentong Mo, Yapeng Tian:
Multi-modal Grouping Network for Weakly-Supervised Audio-Visual Video Parsing. NeurIPS 2022 - [i14]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 abs/2202.03026 (2022) - [i13]Paul Pu Liang, Yiwei Lyu, Xiang Fan
HighMMT: Towards Modality and Task Generalization for High-Modality Representation Learning. CoRR abs/2203.01311 (2022) - [i12]Shentong Mo, Daizong Liu, Wei Hu:
Multi-Scale Self-Contrastive Learning with Hard Negative Mining for Weakly-Supervised Query-based Video Grounding. CoRR abs/2203.03838 (2022) - [i11]Shentong Mo, Pedro Morgado
Localizing Visual Sounds the Easy Way. CoRR abs/2203.09324 (2022) - [i10]Shentong Mo, Jingfei Xia, Xiaoqing Tan, Bhiksha Raj:
Point3D: tracking actions as moving points with 3D CNNs. CoRR abs/2203.10584 (2022) - [i9]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 abs/2204.00298 (2022) - [i8]Jiantao Wu, Shentong Mo:
Object-wise Masked Autoencoders for Fast Pre-training. CoRR abs/2205.14338 (2022) - [i7]Shentong Mo, Zhun Sun, Chao Li:
Siamese Prototypical Contrastive Learning. CoRR abs/2208.08819 (2022) - [i6]Shentong Mo, Pedro Morgado
A Closer Look at Weakly-Supervised Audio-Visual Source Localization. CoRR abs/2209.09634 (2022) - [i5]Shentong Mo, Zhun Sun, Chao Li:
Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation. CoRR abs/2210.10194 (2022) - 2021
- [c6]Shentong Mo, Zhun Sun, Chao Li:
Siamese Prototypical Contrastive Learning. BMVC 2021: 185 - [c5]Shentong Mo, Jingfei Xia, Xiaoqing Tan, Bhiksha Raj:
Point3D: tracking actions as moving points with 3D CNNs. BMVC 2021: 259 - [c4]Miao Xin, Shentong Mo, Yuanze Lin:
EVA-GCN: Head Pose Estimation Based on Graph Convolutional Networks. CVPR Workshops 2021: 1462-1471 - [c3]Shentong Mo, Miao Xin:
Long-Term Head Pose Forecasting Conditioned on the Gaze-Guiding Prior. CVPR Workshops 2021: 2239-2248 - [c2]Jiantao Wu, Shentong Mo, Lin Wang:
An Empirical Study of Uncertainty Gap for Disentangling Factors. Trustworthy AI @ ACM Multimedia 2021: 1-8 - [c1]Shentong Mo, Xin Miao:
OsGG-Net: One-step Graph Generation Network for Unbiased Head Pose Estimation. ACM Multimedia 2021: 2465-2473 - [i4]Shentong Mo, Pengtao Xie:
Learning by Examples Based on Multi-level Optimization. CoRR abs/2109.10824 (2021) - [i3]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 abs/2110.05231 (2021) - 2020
- [i2]Shentong Mo, Haofan Wang, Pinxu Ren, Ta-Chung Chi:
Automatic Speech Verification Spoofing Detection. CoRR abs/2012.08095 (2020) - [i1]Shentong Mo, Xiaoqing Tan, Jingfei Xia, Pinxu Ren:
Towards Improving Spatiotemporal Action Recognition in Videos. CoRR abs/2012.08097 (2020)
2010 – 2019
- 2018
- [d1]Qiang Zou, Shentong Mo, Xiaochang Pei:
SERS spectrum of RHB solution measured on different patterns. IEEE DataPort, 2018
Coauthor Index
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