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09/17/2023
LivelySpeaker: Towards Semantic-Aware Co-Speech Gesture Generation
Gestures are non-verbal but important behaviors accompanying people's sp...
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05/29/2023
Explicit Visual Prompting for Universal Foreground Segmentations
Foreground segmentation is a fundamental problem in computer vision, whi...
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03/20/2023
Explicit Visual Prompting for Low-Level Structure Segmentations
We consider the generic problem of detecting low-level structures in ima...
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01/15/2023
T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations
In this work, we investigate a simple and must-known conditional generat...
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11/22/2022
SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation
Generating talking head videos through a face image and a piece of speec...
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07/25/2022
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer
The success of Vision Transformer (ViT) in various computer vision tasks...
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07/04/2022
Back to MLP: A Simple Baseline for Human Motion Prediction
This paper tackles the problem of human motion prediction, consisting in...
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06/27/2022
Compressing Features for Learning with Noisy Labels
Supervised learning can be viewed as distilling relevant information fro...
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10/29/2021
Learning Co-segmentation by Segment Swapping for Retrieval and Discovery
The goal of this work is to efficiently identify visually similar patter...
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08/18/2021
Image Collation: Matching illustrations in manuscripts
Illustrations are an essential transmission instrument. For an historian...
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04/28/2021
Boosting Co-teaching with Compression Regularization for Label Noise
In this paper, we study the problem of learning image classification mod...
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04/27/2020
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
We propose a meta-learning approach that learns from multiple tasks in a...
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04/03/2020
RANSAC-Flow: generic two-stage image alignment
This paper considers the generic problem of dense alignment between two ...
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08/27/2019
Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach
Historical watermark recognition is a highly practical, yet unsolved cha...
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05/21/2019
Marginalized Average Attentional Network for Weakly-Supervised Learning
In weakly-supervised temporal action localization, previous works have f...
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03/07/2019
Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning
Our goal in this paper is to discover near duplicate patterns in large c...
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08/26/2005
