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06/30/2023
DisCo: Disentangled Control for Referring Human Dance Generation in Real World
Generative AI has made significant strides in computer vision, particula...
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05/03/2023
Explaining Language Models' Predictions with High-Impact Concepts
The emergence of large-scale pretrained language models has posed unprec...
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03/25/2023
Equivariant Similarity for Vision-Language Foundation Models
This study explores the concept of equivariance in vision-language found...
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07/25/2022
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data
We are interested in learning robust models from insufficient data, with...
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04/26/2022
ClothFormer:Taming Video Virtual Try-on in All Module
The task of video virtual try-on aims to fit the target clothes to a per...
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03/02/2022
Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation
Extracting class activation maps (CAM) is arguably the most standard ste...
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10/28/2021
Self-Supervised Learning Disentangled Group Representation as Feature
A good visual representation is an inference map from observations (imag...
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08/19/2021
Causal Attention for Unbiased Visual Recognition
Attention module does not always help deep models learn causal features ...
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08/04/2021
Free Lunch for Co-Saliency Detection: Context Adjustment
We unveil a long-standing problem in the prevailing co-saliency detectio...
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03/01/2021
Counterfactual Zero-Shot and Open-Set Visual Recognition
We present a novel counterfactual framework for both Zero-Shot Learning ...
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08/16/2020
DeVLBert: Learning Deconfounded Visio-Linguistic Representations
In this paper, we propose to investigate the problem of out-of-domain vi...
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02/27/2020
Visual Commonsense R-CNN
We present a novel unsupervised feature representation learning method, ...
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08/12/2019
Matching Images and Text with Multi-modal Tensor Fusion and Re-ranking
A major challenge in matching images and text is that they have intrinsi...
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04/01/2017
