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05/29/2023
Improved Probabilistic Image-Text Representations
Image-Text Matching (ITM) task, a fundamental vision-language (VL) task,...
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04/21/2023
RoCOCO: Robust Benchmark MS-COCO to Stress-test Robustness of Image-Text Matching Models
Recently, large-scale vision-language pre-training models and visual sem...
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04/10/2023
Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild
Recovering 3D human mesh in the wild is greatly challenging as in-the-wi...
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03/21/2023
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion
This paper proposes a novel diffusion-based model, CompoDiff, for solvin...
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03/20/2023
SeiT: Storage-Efficient Vision Training with Tokens Using 1 Storage
We need billion-scale images to achieve more generalizable and ground-br...
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03/01/2023
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
Many existing group fairness-aware training methods aim to achieve the g...
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12/08/2022
Group Generalized Mean Pooling for Vision Transformer
Vision Transformer (ViT) extracts the final representation from either c...
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10/20/2022
Similarity of Neural Architectures Based on Input Gradient Transferability
In this paper, we aim to design a quantitative similarity function betwe...
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08/21/2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective
We propose the first unified theoretical analysis of mixed sample data a...
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04/07/2022
ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO
Image-Test matching (ITM) is a common task for evaluating the quality of...
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03/21/2022
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
Domain generalization (DG) aims to learn a generalized model to an unsee...
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02/07/2022
Dataset Condensation with Contrastive Signals
Recent studies have demonstrated that gradient matching-based dataset sy...
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12/22/2021
Few-shot Font Generation with Weakly Supervised Localized Representations
Automatic few-shot font generation aims to solve a well-defined, real-wo...
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11/29/2021
Learning Fair Classifiers with Partially Annotated Group Labels
Recently, fairness-aware learning have become increasingly crucial, but ...
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10/06/2021
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective
Deep neural networks (DNNs) often rely on easy-to-learn discriminatory f...
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08/24/2021
StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures
Recent powerful vision classifiers are biased towards textures, while sh...
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06/08/2021
Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions
Effective control and prediction of dynamical systems often require appr...
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04/02/2021
Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts
A few-shot font generation (FFG) method has to satisfy two objectives: t...
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03/30/2021
Rethinking Spatial Dimensions of Vision Transformers
Vision Transformer (ViT) extends the application range of transformers f...
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01/13/2021
Probabilistic Embeddings for Cross-Modal Retrieval
Cross-modal retrieval methods build a common representation space for sa...
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01/13/2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
ImageNet has been arguably the most popular image classification benchma...
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09/23/2020
Few-shot Font Generation with Localized Style Representations and Factorization
Automatic few-shot font generation is in high demand because manual desi...
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07/08/2020
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets
Weakly-supervised object localization (WSOL) has gained popularity over ...
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06/15/2020
Slowing Down the Weight Norm Increase in Momentum-based Optimizers
Normalization techniques, such as batch normalization (BN), have led to ...
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05/21/2020
Few-shot Compositional Font Generation with Dual Memory
Generating a new font library is a very labor-intensive and time-consumi...
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03/09/2020
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
Despite apparent human-level performances of deep neural networks (DNN),...
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01/21/2020
Evaluating Weakly Supervised Object Localization Methods Right
Weakly-supervised object localization (WSOL) has gained popularity over ...
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11/11/2019
Visualizing and Understanding Self-attention based Music Tagging
Recently, we proposed a self-attention based music tagging model. Differ...
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10/15/2019
Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling
We propose a generic confidence-based approximation that can be plugged ...
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10/07/2019
Learning De-biased Representations with Biased Representations
Many machine learning algorithms are trained and evaluated by splitting ...
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06/12/2019
Toward Interpretable Music Tagging with Self-Attention
Self-attention is an attention mechanism that learns a representation by...
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05/13/2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Regional dropout strategies have been proposed to enhance the performanc...
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03/23/2019
Photorealistic Style Transfer via Wavelet Transforms
Recent style transfer models have provided promising artistic results. H...
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12/21/2018
