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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...
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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...
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08/22/2023
Masked Momentum Contrastive Learning for Zero-shot Semantic Understanding
Self-supervised pretraining (SSP) has emerged as a popular technique in ...
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08/21/2023
Audio-Visual Class-Incremental Learning
In this paper, we introduce audio-visual class-incremental learning, a c...
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07/04/2023
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation
Recent Diffusion Transformers (e.g., DiT) have demonstrated their powerf...
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06/28/2023
DiffComplete: Diffusion-based Generative 3D Shape Completion
We introduce a new diffusion-based approach for shape completion on 3D r...
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05/30/2023
A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition
The ability to accurately recognize, localize and separate sound sources...
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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 ...
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05/03/2023
AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation
Segment Anything Model (SAM) has recently shown its powerful effectivene...
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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...
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03/29/2023
Audio-Visual Grouping Network for Sound Localization from Mixtures
Sound source localization is a typical and challenging task that predict...
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03/22/2023
Variantional autoencoder with decremental information bottleneck for disentanglement
One major challenge of disentanglement learning with variational autoenc...
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10/18/2022
Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation
Contrastive self-supervised learning (CSL) with a prototypical regulariz...
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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...
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08/18/2022
Siamese Prototypical Contrastive Learning
Contrastive Self-supervised Learning (CSL) is a practical solution that ...
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05/28/2022
Object-wise Masked Autoencoders for Fast Pre-training
Self-supervised pre-training for images without labels has recently achi...
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04/01/2022
Unitail: Detecting, Reading, and Matching in Retail Scene
To make full use of computer vision technology in stores, it is required...
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03/20/2022
Point3D: tracking actions as moving points with 3D CNNs
Spatio-temporal action recognition has been a challenging task that invo...
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03/17/2022
Localizing Visual Sounds the Easy Way
Unsupervised audio-visual source localization aims at localizing visible...
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03/02/2022
HighMMT: Towards Modality and Task Generalization for High-Modality Representation Learning
Learning multimodal representations involves discovering correspondences...
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02/07/2022
Context Autoencoder for Self-Supervised Representation Learning
We present a novel masked image modeling (MIM) approach, context autoenc...
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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...
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09/22/2021
Learning by Examples Based on Multi-level Optimization
Learning by examples, which learns to solve a new problem by looking int...
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12/15/2020
Towards Improving Spatiotemporal Action Recognition in Videos
Spatiotemporal action recognition deals with locating and classifying ac...
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12/15/2020
