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09/13/2023
Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics
Multi-modal large language models (MLLMs) are trained based on large lan...
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06/01/2023
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
Modern hierarchical vision transformers have added several vision-specif...
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04/06/2023
Diffusion Models as Masked Autoencoders
There has been a longstanding belief that generation can facilitate a tr...
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03/30/2023
SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling
Synthetic data has emerged as a promising source for 3D human research a...
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12/20/2022
Unleashing the Power of Visual Prompting At the Pixel Level
This paper presents a simple and effective visual prompting method for a...
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11/21/2022
SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training
Video-language pre-training is crucial for learning powerful multi-modal...
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08/25/2022
Masked Autoencoders Enable Efficient Knowledge Distillers
This paper studies the potential of distilling knowledge from pre-traine...
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07/23/2022
High-Resolution Swin Transformer for Automatic Medical Image Segmentation
The Resolution of feature maps is critical for medical image segmentatio...
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05/03/2022
In Defense of Image Pre-Training for Spatiotemporal Recognition
Image pre-training, the current de-facto paradigm for a wide range of vi...
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04/06/2022
C3KG: A Chinese Commonsense Conversation Knowledge Graph
Existing commonsense knowledge bases often organize tuples in an isolate...
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03/22/2022
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation
Recent advances in self-supervised contrastive learning yield good image...
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12/16/2021
Masked Feature Prediction for Self-Supervised Visual Pre-Training
We present Masked Feature Prediction (MaskFeat) for self-supervised pre-...
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12/02/2021
Embedding Decomposition for Artifacts Removal in EEG Signals
Electroencephalogram (EEG) recordings are often contaminated with artifa...
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11/16/2021
Phase function estimation from a diffuse optical image via deep learning
The phase function is a key element of a light propagation model for Mon...
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11/15/2021
iBOT: Image BERT Pre-Training with Online Tokenizer
The success of language Transformers is primarily attributed to the pret...
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02/18/2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning
Semi-supervised learning on class-imbalanced data, although a realistic ...
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02/18/2021
Edge Sparse Basis Network: An Deep Learning Framework for EEG Source Localization
EEG source localization is an important technical issue in EEG analysis....
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12/15/2020
Writing Polishment with Simile: Task, Dataset and A Neural Approach
A simile is a figure of speech that directly makes a comparison, showing...
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10/31/2020
Self-supervised Representation Learning for Evolutionary Neural Architecture Search
Recently proposed neural architecture search (NAS) algorithms adopt neur...
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10/05/2020
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
Contrastive learning has been adopted as a core method for unsupervised ...
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09/25/2020
Focus-Constrained Attention Mechanism for CVAE-based Response Generation
To model diverse responses for a given post, one promising way is to int...
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03/28/2020
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search
Neural architecture search (NAS) is a promising method for automatically...
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12/02/2018
Iterative Reorganization with Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning
Learning visual features from unlabeled image data is an important yet c...
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11/29/2018
Progressive Recurrent Learning for Visual Recognition
Computer vision is difficult, partly because the mathematical function c...
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08/14/2018