Shentong Mo | DeepAI

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∙ 09/14/2023

Tree of Uncertain Thoughts Reasoning for Large Language Models

While the recently introduced Tree of Thoughts (ToT) has heralded advanc...

0 Shentong Mo, et al. ∙

∙ 09/11/2023

Class-Incremental Grouping Network for Continual Audio-Visual Learning

Continual learning is a challenging problem in which models need to be t...

0 Shentong Mo, et al. ∙

∙ 08/22/2023

Masked Momentum Contrastive Learning for Zero-shot Semantic Understanding

Self-supervised pretraining (SSP) has emerged as a popular technique in ...

0 Jiantao Wu, et al. ∙

∙ 08/21/2023

Audio-Visual Class-Incremental Learning

In this paper, we introduce audio-visual class-incremental learning, a c...

0 Weiguo Pian, et al. ∙

∙ 07/04/2023

DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation

Recent Diffusion Transformers (e.g., DiT) have demonstrated their powerf...

0 Shentong Mo, et al. ∙

∙ 06/28/2023

DiffComplete: Diffusion-based Generative 3D Shape Completion

We introduce a new diffusion-based approach for shape completion on 3D r...

0 Ruihang Chu, et al. ∙

∙ 05/30/2023

A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition

The ability to accurately recognize, localize and separate sound sources...

0 Shentong Mo, et al. ∙

∙ 05/22/2023

DiffAVA: Personalized Text-to-Audio Generation with Visual Alignment

Text-to-audio (TTA) generation is a recent popular problem that aims to ...

0 Shentong Mo, et al. ∙

∙ 05/03/2023

AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation

Segment Anything Model (SAM) has recently shown its powerful effectivene...

0 Shentong Mo, et al. ∙

∙ 04/10/2023

CAVL: Learning Contrastive and Adaptive Representations of Vision and Language

Visual and linguistic pre-training aims to learn vision and language rep...

0 Shentong Mo, et al. ∙

∙ 03/29/2023

Audio-Visual Grouping Network for Sound Localization from Mixtures

Sound source localization is a typical and challenging task that predict...

0 Shentong Mo, et al. ∙

∙ 03/22/2023

Variantional autoencoder with decremental information bottleneck for disentanglement

One major challenge of disentanglement learning with variational autoenc...

0 Jiantao Wu, et al. ∙

∙ 10/18/2022

Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation

Contrastive self-supervised learning (CSL) with a prototypical regulariz...

0 Shentong Mo, et al. ∙

∙ 08/30/2022

A Closer Look at Weakly-Supervised Audio-Visual Source Localization

Audio-visual source localization is a challenging task that aims to pred...

0 Shentong Mo, et al. ∙

∙ 08/18/2022

Siamese Prototypical Contrastive Learning

Contrastive Self-supervised Learning (CSL) is a practical solution that ...

0 Shentong Mo, et al. ∙

∙ 05/28/2022

Object-wise Masked Autoencoders for Fast Pre-training

Self-supervised pre-training for images without labels has recently achi...

0 Jiantao Wu, et al. ∙

∙ 04/01/2022

Unitail: Detecting, Reading, and Matching in Retail Scene

To make full use of computer vision technology in stores, it is required...

0 Fangyi Chen, et al. ∙

∙ 03/20/2022

Point3D: tracking actions as moving points with 3D CNNs

Spatio-temporal action recognition has been a challenging task that invo...

0 Shentong Mo, et al. ∙

∙ 03/17/2022

Localizing Visual Sounds the Easy Way

Unsupervised audio-visual source localization aims at localizing visible...

0 Shentong Mo, et al. ∙

∙ 03/02/2022

HighMMT: Towards Modality and Task Generalization for High-Modality Representation Learning

Learning multimodal representations involves discovering correspondences...

10 Paul Pu Liang, et al. ∙

∙ 02/07/2022

Context Autoencoder for Self-Supervised Representation Learning

We present a novel masked image modeling (MIM) approach, context autoenc...

6 Xiaokang Chen, et al. ∙

∙ 10/11/2021

Multi-modal Self-supervised Pre-training for Regulatory Genome Across Cell Types

In the genome biology research, regulatory genome modeling is an importa...

15 Shentong Mo, et al. ∙

∙ 09/22/2021

Learning by Examples Based on Multi-level Optimization

Learning by examples, which learns to solve a new problem by looking int...

0 Shentong Mo, et al. ∙

∙ 12/15/2020

Towards Improving Spatiotemporal Action Recognition in Videos

Spatiotemporal action recognition deals with locating and classifying ac...

0 Shentong Mo, et al. ∙

∙ 12/15/2020

Automatic Speech Verification Spoofing Detection

Automatic speech verification (ASV) is the technology to determine the i...

0 Shentong Mo, et al. ∙

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