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07/31/2023
JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery
In this study, we focus on the problem of 3D human mesh recovery from a ...
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07/23/2023
TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering
In this paper, we focus on the task of generalizable neural human render...
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03/26/2023
Global-to-Local Modeling for Video-based 3D Human Pose and Shape Estimation
Video-based 3D human pose and shape estimations are evaluated by intra-f...
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12/08/2022
OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models
Generalist models, which are capable of performing diverse multi-modal t...
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12/06/2022
Pretrained Diffusion Models for Unified Human Motion Synthesis
Generative modeling of human motion has broad applications in computer a...
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05/17/2022
M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems
Industrial recommender systems have been growing increasingly complex, m...
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02/07/2022
Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
In this work, we pursue a unified paradigm for multimodal pretraining to...
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11/11/2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey
Influenced by the great success of deep learning via cloud computing and...
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06/02/2021
Learning to Rehearse in Long Sequence Memorization
Existing reasoning tasks often have an important assumption that the inp...
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05/29/2021
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis
Conditional image synthesis aims to create an image according to some mu...
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03/01/2021
M6: A Chinese Multimodal Pretrainer
In this work, we construct the largest dataset for multimodal pretrainin...
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02/10/2021
Inductive Granger Causal Modeling for Multivariate Time Series
Granger causal modeling is an emerging topic that can uncover Granger ca...
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05/20/2020
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems
Deep candidate generation (DCG) that narrows down the collection of rele...
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05/20/2020
Contrastive Learning for Debiased Candidate Generation at Scale
Deep candidate generation has become an increasingly popular choice depl...
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10/31/2019