Shentong Mo - RankMe

104 papers A* 19A 6B 1Misc 2Journal 66Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Foley-Flow: Coordinated Video-to-Audio Generation with Masked Audio-Visual Alignment and Dynamic Conditional Flows. CoRR Shentong Mo, Yibing Song
2026	J	`jnl`	GMAIL: Generative Modality Alignment for generated Image Learning. CoRR Shentong Mo, Sukmin Yun
2026	J	`jnl`	GMS-CAVP: Improving Audio-Video Correspondence with Multi-Scale Contrastive and Generative Pretraining. CoRR Shentong Mo, Zehua Chen, Jun Zhu
2026	J	`jnl`	LVRPO: Language-Visual Alignment with GRPO for Multimodal Understanding and Generation. CoRR Shentong Mo, Sukmin Yun
2026	J	`jnl`	SaDiT: Efficient Protein Backbone Design via Latent Structural Tokenization and Diffusion Transformers. CoRR Shentong Mo, Lanqing Li
2026	J	`jnl`	pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation. CoRR Shentong Mo, Xufang Luo, Dongsheng Li
2025	Misc	`conf`	DiffGAP: A Lightweight Diffusion Module in Contrastive Space for Bridging Cross-Model Gap. ICASSP Shentong Mo, Zehua Chen, Fan Bao, Jun Zhu
2025	J	`jnl`	DiffGAP: A Lightweight Diffusion Module in Contrastive Space for Bridging Cross-Model Gap. CoRR Shentong Mo, Zehua Chen, Fan Bao, Jun Zhu
2025	A*	`conf`	Foley-Flow: Coordinated Video-to-Audio Generation with Masked Audio-Visual Alignment and Dynamic Conditional Flows. CVPR Shentong Mo, Yibing Song
2025	A*	`conf`	GMAIL: Generative Modality Alignment for generated Image Learning. ICML Shentong Mo, Sukmin Yun
2025	A*	`conf`	Scaling Diffusion Mamba with Bidirectional SSMs for Efficient 3D Shape Generation. AAAI Shentong Mo
2025	J	`jnl`	Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm. CoRR Lin Zhang, Zefan Cai, Yufan Zhou, Shentong Mo, Jinhong Lin, Cheng-En Wu, Yibing Wei, Yijing Zhang, Ruiyi Zhang, Wen Xiao, Tong Sun, Junjie Hu, Pedro Morgado
2025	A*	`conf`	The Dynamic Duo of Collaborative Masking and Target for Advanced Masked Autoencoder Learning. AAAI Shentong Mo
2025	A*	`conf`	pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation. ICLR Shentong Mo, Xufang Luo, Dongsheng Li
2024	J	`jnl`	A Large-scale Medical Visual Task Adaptation Benchmark. CoRR Shentong Mo, Xufang Luo, Yansen Wang, Dongsheng Li
2024	A*	`conf`	Aligning Audio-Visual Joint Representations with an Agentic Workflow. NeurIPS Shentong Mo, Yibing Song
2024	J	`jnl`	Aligning Audio-Visual Joint Representations with an Agentic Workflow. CoRR Shentong Mo, Yibing Song
2024	J	`jnl`	AttentionPert: accurately modeling multiplexed genetic perturbations with multi-scale effects. Bioinform. Ding Bai, Caleb N. Ellington, Shentong Mo, Le Song, Eric P. Xing
2024	—	`conf`	Audio-Synchronized Visual Animation. ECCV (41) Lin Zhang, Shentong Mo, Yijing Zhang, Pedro Morgado
2024	J	`jnl`	Audio-Synchronized Visual Animation. CoRR Lin Zhang, Shentong Mo, Yijing Zhang, Pedro Morgado
2024	—	`conf`	Audio-Visual Generalized Zero-Shot Learning the Easy Way. ECCV (71) Shentong Mo, Pedro Morgado
2024	J	`jnl`	Audio-visual Generalized Zero-shot Learning the Easy Way. CoRR Shentong Mo, Pedro Morgado
2024	J	`jnl`	BSTG-Trans: A Bayesian Spatial-Temporal Graph Transformer for Long-Term Pose Forecasting. IEEE Trans. Multim. Shentong Mo, Miao Xin
2024	A*	`conf`	Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning. NeurIPS Shentong Mo, Peter Tong
2024	J	`jnl`	Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning. CoRR Shentong Mo, Shengbang Tong
2024	J	`jnl`	Context Autoencoder for Self-supervised Representation Learning. Int. J. Comput. Vis. Xiaokang Chen, Mingyu Ding, Xiaodi Wang, Ying Xin, Shentong Mo, Yunhao Wang, Shumin Han, Ping Luo, Gang Zeng, Jingdong Wang
2024	A*	`conf`	Continual Audio-Visual Sound Separation. NeurIPS Weiguo Pian, Yiyang Nan, Shijian Deng, Shentong Mo, Yunhui Guo, Yapeng Tian
2024	J	`jnl`	Continual Audio-Visual Sound Separation. CoRR Weiguo Pian, Yiyang Nan, Shijian Deng, Shentong Mo, Yunhui Guo, Yapeng Tian
2024	J	`jnl`	DMT-JEPA: Discriminative Masked Targets for Joint-Embedding Predictive Architecture. CoRR Shentong Mo, Sukmin Yun
2024	—	`conf`	DailyMAE: Towards Pretraining Masked Autoencoders in One Day. ECCV Workshops (11) Jiantao Wu, Shentong Mo, Sara Atito, Zhenhua Feng, Josef Kittler, Muhammad Awais
2024	J	`jnl`	DailyMAE: Towards Pretraining Masked Autoencoders in One Day. CoRR Jiantao Wu, Shentong Mo, Sara Atito, Zhenhua Feng, Josef Kittler, Muhammad Awais
2024	J	`jnl`	Efficient 3D Shape Generation via Diffusion Mamba with Bidirectional SSMs. CoRR Shentong Mo
2024	—	`conf`	Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation. ECCV (84) Shentong Mo, Enze Xie, Yue Wu, Junsong Chen, Matthias Nießner, Zhenguo Li
2024	J	`jnl`	IoT-LM: Large Multisensory Language Models for the Internet of Things. CoRR Shentong Mo, Russ Salakhutdinov, Louis-Philippe Morency, Paul Pu Liang
2024	J	`jnl`	LSPT: Long-term Spatial Prompt Tuning for Visual Representation Learning. CoRR Shentong Mo, Yansen Wang, Xufang Luo, Dongsheng Li
2024	—	`conf`	MA-AVT: Modality Alignment for Parameter-Efficient Audio-Visual Transformers. CVPR Workshops Tanvir Mahmud, Shentong Mo, Yapeng Tian, Diana Marculescu
2024	J	`jnl`	MA-AVT: Modality Alignment for Parameter-Efficient Audio-Visual Transformers. CoRR Tanvir Mahmud, Shentong Mo, Yapeng Tian, Diana Marculescu
2024	B	`conf`	Masked Momentum Contrastive Learning for Semantic Understanding by Observation. ICIP Jiantao Wu, Shentong Mo, Sara Atito, Zhenhua Feng, Josef Kittler, Syed Sameed Husain, Muhammad Awais
2024	J	`jnl`	Modality-Inconsistent Continual Learning of Multimodal Large Language Models. CoRR Weiguo Pian, Shijian Deng, Shentong Mo, Yunhui Guo, Yapeng Tian
2024	J	`jnl`	Multi-scale Multi-instance Visual Sound Localization and Segmentation. CoRR Shentong Mo, Haofan Wang
2024	J	`jnl`	MultiMed: Massively Multimodal and Multitask Medical Understanding. CoRR Shentong Mo, Paul Pu Liang
2024	J	`jnl`	Rethinking Positive Pairs in Contrastive Learning. CoRR Jiantao Wu, Shentong Mo, Zhenhua Feng, Sara Atito Ali Ahmed, Josef Kittler, Muhammad Awais
2024	J	`jnl`	Scaling Diffusion Mamba with Bidirectional SSMs for Efficient Image and Video Generation. CoRR Shentong Mo, Yapeng Tian
2024	J	`jnl`	Semantic Grouping Network for Audio Source Separation. CoRR Shentong Mo, Yapeng Tian
2024	J	`jnl`	Text-to-Audio Generation Synchronized with Videos. CoRR Shentong Mo, Jing Shi, Yapeng Tian
2024	J	`jnl`	The Dynamic Duo of Collaborative Masking and Target for Advanced Masked Autoencoder Learning. CoRR Shentong Mo
2024	Misc	`conf`	Tree of Uncertain Thoughts Reasoning for Large Language Models. ICASSP Shentong Mo, Miao Xin
2024	J	`jnl`	Unified Video-Language Pre-training with Synchronized Audio. CoRR Shentong Mo, Haofan Wang, Huaxia Li, Xu Tang
2024	A*	`conf`	Unveiling the Power of Audio-Visual Early Fusion Transformers with Dense Interactions Through Masked Modeling. CVPR Shentong Mo, Pedro Morgado
2024	J	`jnl`	We Choose to Go to Space: Agent-driven Human and Multi-Robot Collaboration in Microgravity. CoRR Miao Xin, Zhongrui You, Zihan Zhang, Taoran Jiang, Tingjia Xu, Haotian Liang, Guojing Ge, Yuchen Ji, Shentong Mo, Jian Cheng
2023	A*	`conf`	A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition. ICML Shentong Mo, Pedro Morgado
2023	J	`jnl`	A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition. CoRR Shentong Mo, Pedro Morgado
2023	J	`jnl`	AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation. CoRR Shentong Mo, Yapeng Tian
2023	A*	`conf`	Audio-Visual Class-Incremental Learning. ICCV Weiguo Pian, Shentong Mo, Yunhui Guo, Yapeng Tian
2023	J	`jnl`	Audio-Visual Class-Incremental Learning. CoRR Weiguo Pian, Shentong Mo, Yunhui Guo, Yapeng Tian
2023	A*	`conf`	Audio-Visual Grouping Network for Sound Localization from Mixtures. CVPR Shentong Mo, Yapeng Tian
2023	J	`jnl`	Audio-Visual Grouping Network for Sound Localization from Mixtures. CoRR Shentong Mo, Yapeng Tian
2023	J	`jnl`	Beyond Accuracy: Statistical Measures and Benchmark for Evaluation of Representation from Self-Supervised Learning. CoRR Jiantao Wu, Shentong Mo, Sara Atito, Josef Kittler, Zhenhua Feng, Muhammad Awais
2023	J	`jnl`	CAVL: Learning Contrastive and Adaptive Representations of Vision and Language. CoRR Shentong Mo, Jingfei Xia, Ihor Markevych
2023	A*	`conf`	Class-Incremental Grouping Network for Continual Audio-Visual Learning. ICCV Shentong Mo, Weiguo Pian, Yapeng Tian
2023	J	`jnl`	Class-Incremental Grouping Network for Continual Audio-Visual Learning. CoRR Shentong Mo, Weiguo Pian, Yapeng Tian
2023	A*	`conf`	DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation. NeurIPS Shentong Mo, Enze Xie, Ruihang Chu, Lanqing Hong, Matthias Nießner, Zhenguo Li
2023	J	`jnl`	DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation. CoRR Shentong Mo, Enze Xie, Ruihang Chu, Lewei Yao, Lanqing Hong, Matthias Nießner, Zhenguo Li
2023	J	`jnl`	DiffAVA: Personalized Text-to-Audio Generation with Visual Alignment. CoRR Shentong Mo, Jing Shi, Yapeng Tian
2023	A*	`conf`	DiffComplete: Diffusion-based Generative 3D Shape Completion. NeurIPS Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya Jia
2023	J	`jnl`	DiffComplete: Diffusion-based Generative 3D Shape Completion. CoRR Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya Jia
2023	J	`jnl`	Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models. CoRR Shentong Mo, Zhun Sun, Chao Li
2023	J	`jnl`	Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation. CoRR Shentong Mo, Enze Xie, Yue Wu, Junsong Chen, Matthias Nießner, Zhenguo Li
2023	J	`jnl`	High-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning. Trans. Mach. Learn. Res. Paul Pu Liang, Yiwei Lyu, Xiang Fan, Jeffrey Tsaw, Yudong Liu, Shentong Mo, Dani Yogatama, Louis-Philippe Morency, Russ Salakhutdinov
2023	J	`jnl`	Masked Momentum Contrastive Learning for Zero-shot Semantic Understanding. CoRR Jiantao Wu, Shentong Mo, Muhammad Awais, Sara Atito, Zhenhua Feng, Josef Kittler
2023	A	`conf`	Multi-level Contrastive Learning for Self-Supervised Vision Transformers. WACV Shentong Mo, Zhun Sun, Chao Li
2023	J	`jnl`	MultiIoT: Towards Large-scale Multisensory Learning for the Internet of Things. CoRR Shentong Mo, Paul Pu Liang, Russ Salakhutdinov, Louis-Philippe Morency
2023	A	`conf`	Representation Disentanglement in Generative Models with Contrastive Learning. WACV Shentong Mo, Zhun Sun, Chao Li
2023	J	`jnl`	Tree of Uncertain Thoughts Reasoning for Large Language Models. CoRR Shentong Mo, Miao Xin
2023	J	`jnl`	Unveiling the Power of Audio-Visual Early Fusion Transformers with Dense Interactions through Masked Modeling. CoRR Shentong Mo, Pedro Morgado
2023	J	`jnl`	Variantional autoencoder with decremental information bottleneck for disentanglement. CoRR Jiantao Wu, Shentong Mo, Muhammad Awais, Sara Atito, Xingshen Zhang, Lin Wang, Xiang Yang
2023	A	`conf`	Variational Autoencoders with Decremental Information Bottleneck for Disentanglement. BMVC Jiantao Wu, Shentong Mo, Xingshen Zhang, Muhammad Awais, Sara Ahmed, Zhenhua Feng, Lin Wang, Xiang Yang
2023	A*	`conf`	Weakly-Supervised Audio-Visual Segmentation. NeurIPS Shentong Mo, Bhiksha Raj
2023	J	`jnl`	Weakly-Supervised Audio-Visual Segmentation. CoRR Shentong Mo, Bhiksha Raj
2022	A*	`conf`	A Closer Look at Weakly-Supervised Audio-Visual Source Localization. NeurIPS Shentong Mo, Pedro Morgado
2022	J	`jnl`	A Closer Look at Weakly-Supervised Audio-Visual Source Localization. CoRR Shentong Mo, Pedro Morgado
2022	J	`jnl`	Context Autoencoder for Self-Supervised Representation Learning. CoRR Xiaokang Chen, Mingyu Ding, Xiaodi Wang, Ying Xin, Shentong Mo, Yunhao Wang, Shumin Han, Ping Luo, Gang Zeng, Jingdong Wang
2022	J	`jnl`	HighMMT: Towards Modality and Task Generalization for High-Modality Representation Learning. CoRR Paul Pu Liang, Yiwei Lyu, Xiang Fan, Shentong Mo, Dani Yogatama, Louis-Philippe Morency, Ruslan Salakhutdinov
2022	—	`conf`	Localizing Visual Sounds the Easy Way. ECCV (37) Shentong Mo, Pedro Morgado
2022	J	`jnl`	Localizing Visual Sounds the Easy Way. CoRR Shentong Mo, Pedro Morgado
2022	J	`jnl`	Multi-Scale Self-Contrastive Learning with Hard Negative Mining for Weakly-Supervised Query-based Video Grounding. CoRR Shentong Mo, Daizong Liu, Wei Hu
2022	A*	`conf`	Multi-modal Grouping Network for Weakly-Supervised Audio-Visual Video Parsing. NeurIPS Shentong Mo, Yapeng Tian
2022	J	`jnl`	Object-wise Masked Autoencoders for Fast Pre-training. CoRR Jiantao Wu, Shentong Mo
2022	J	`jnl`	Point3D: tracking actions as moving points with 3D CNNs. CoRR Shentong Mo, Jingfei Xia, Xiaoqing Tan, Bhiksha Raj
2022	A	`conf`	Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation. BMVC Shentong Mo, Zhun Sun, Chao Li
2022	J	`jnl`	Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation. CoRR Shentong Mo, Zhun Sun, Chao Li
2022	J	`jnl`	Siamese Prototypical Contrastive Learning. CoRR Shentong Mo, Zhun Sun, Chao Li
2022	—	`conf`	Unitail: Detecting, Reading, and Matching in Retail Scene. ECCV (7) Fangyi Chen, Han Zhang, Zaiwang Li, Jiachen Dou, Shentong Mo, Hao Chen, Yongxin Zhang, Uzair Ahmed, Chenchen Zhu, Marios Savvides
2022	J	`jnl`	Unitail: Detecting, Reading, and Matching in Retail Scene. CoRR Fangyi Chen, Han Zhang, Zaiwang Li, Jiachen Dou, Shentong Mo, Hao Chen, Yongxin Zhang, Uzair Ahmed, Chenchen Zhu, Marios Savvides
2021	—	`conf`	An Empirical Study of Uncertainty Gap for Disentangling Factors. Trustworthy AI @ ACM Multimedia Jiantao Wu, Shentong Mo, Lin Wang
2021	—	`conf`	EVA-GCN: Head Pose Estimation Based on Graph Convolutional Networks. CVPR Workshops Miao Xin, Shentong Mo, Yuanze Lin
2021	J	`jnl`	Learning by Examples Based on Multi-level Optimization. CoRR Shentong Mo, Pengtao Xie
2021	—	`conf`	Long-Term Head Pose Forecasting Conditioned on the Gaze-Guiding Prior. CVPR Workshops Shentong Mo, Miao Xin
2021	J	`jnl`	Multi-modal Self-supervised Pre-training for Regulatory Genome Across Cell Types. CoRR Shentong Mo, Xi Fu, Chenyang Hong, Yizhen Chen, Yuxuan Zheng, Xiangru Tang, Zhiqiang Shen, Eric P. Xing, Yanyan Lan
2021	A*	`conf`	OsGG-Net: One-step Graph Generation Network for Unbiased Head Pose Estimation. ACM Multimedia Shentong Mo, Xin Miao
2021	A	`conf`	Point3D: tracking actions as moving points with 3D CNNs. BMVC Shentong Mo, Jingfei Xia, Xiaoqing Tan, Bhiksha Raj
2021	A	`conf`	Siamese Prototypical Contrastive Learning. BMVC Shentong Mo, Zhun Sun, Chao Li
2020	J	`jnl`	Automatic Speech Verification Spoofing Detection. CoRR Shentong Mo, Haofan Wang, Pinxu Ren, Ta-Chung Chi
2020	J	`jnl`	Towards Improving Spatiotemporal Action Recognition in Videos. CoRR Shentong Mo, Xiaoqing Tan, Jingfei Xia, Pinxu Ren