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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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04/24/2023
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer
Transformer-based models achieve favorable performance in artistic style...
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04/03/2023
Learning Anchor Transformations for 3D Garment Animation
This paper proposes an anchor-based deformation model, namely AnchorDEF,...
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03/21/2023
BoPR: Body-aware Part Regressor for Human Shape and Pose Estimation
This paper presents a novel approach for estimating human body shape and...
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03/20/2023
HMC: Hierarchical Mesh Coarsening for Skeleton-free Motion Retargeting
We present a simple yet effective method for skeleton-free motion retarg...
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03/15/2023
Skinned Motion Retargeting with Residual Perception of Motion Semantics Geometry
A good motion retargeting cannot be reached without reasonable considera...
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03/10/2023
ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction
Reconstructing two hands from monocular RGB images is challenging due to...
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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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07/12/2022
Towards Hard-Positive Query Mining for DETR-based Human-Object Interaction Detection
Human-Object Interaction (HOI) detection is a core task for high-level i...
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03/13/2022
CEKD:Cross Ensemble Knowledge Distillation for Augmented Fine-grained Data
Data augmentation has been proved effective in training deep models. Exi...
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12/21/2021
PONet: Robust 3D Human Pose Estimation via Learning Orientations Only
Conventional 3D human pose estimation relies on first detecting 2D body ...
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08/16/2021
Structure-Aware Feature Generation for Zero-Shot Learning
Zero-Shot Learning (ZSL) targets at recognizing unseen categories by lev...
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12/09/2020
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data
Data mixing augmentation has proved effective in training deep models. R...
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11/28/2019
An End-to-end Framework for Unconstrained Monocular 3D Hand Pose Estimation
This work addresses the challenging problem of unconstrained 3D hand pos...
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11/28/2019
All you need is a good representation: A multi-level and classifier-centric representation for few-shot learning
The main problems of few-shot learning are how to learn a generalized re...
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05/20/2019
Not All Parts Are Created Equal: 3D Pose Estimation by Modelling Bi-directional Dependencies of Body Parts
Not all the human body parts have the same degree of freedom (DOF) due t...
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10/04/2016
Real Time Fine-Grained Categorization with Accuracy and Interpretability
A well-designed fine-grained categorization system usually has three con...
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12/26/2015
