b'Jie Song'

research

∙ 05/27/2023

Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?

Centralized Training with Decentralized Execution (CTDE) has recently em...

0 Yihe Zhou, et al. ∙

research

∙ 04/28/2023

Learning Locally Editable Virtual Humans

In this paper, we propose a novel hybrid representation and end-to-end t...

0 Hsuan-I Ho, et al. ∙

research

∙ 04/15/2023

Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation

Temporal graphs exhibit dynamic interactions between nodes over continuo...

0 Tongya Zheng, et al. ∙

research

∙ 03/30/2023

Human from Blur: Human Pose Tracking from Blurry Images

We propose a method to estimate 3D human poses from substantially blurre...

0 Yiming Zhao, et al. ∙

research

∙ 03/27/2023

Hi4D: 4D Instance Segmentation of Close Human Interaction

We propose Hi4D, a method and dataset for the automatic analysis of phys...

0 Yifei Yin, et al. ∙

research

∙ 03/08/2023

X-Avatar: Expressive Human Avatars

We present X-Avatar, a novel avatar model that captures the full express...

0 Kaiyue Shen, et al. ∙

research

∙ 02/22/2023

Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition

We present Vid2Avatar, a method to learn human avatars from monocular in...

0 Chen Guo, et al. ∙

research

∙ 01/14/2023

Recent advances in artificial intelligence for retrosynthesis

Retrosynthesis is the cornerstone of organic chemistry, providing chemis...

0 Zipeng Zhong, et al. ∙

research

∙ 12/20/2022

InstantAvatar: Learning Avatars from Monocular Video in 60 Seconds

In this paper, we take a significant step towards real-world applicabili...

0 Tianjian Jiang, et al. ∙

research

∙ 11/28/2022

Fast-SNARF: A Fast Deformer for Articulated Neural Fields

Neural fields have revolutionized the area of 3D reconstruction and nove...

0 Xu Chen, et al. ∙

research

∙ 11/23/2022

Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition

Value Decomposition (VD) aims to deduce the contributions of agents for ...

0 Shunyu Liu, et al. ∙

research

∙ 11/12/2022

A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges

Reinforcement Learning (RL) is a popular machine learning paradigm where...

0 Yunpeng Qing, et al. ∙

research

∙ 10/09/2022

Attention Diversification for Domain Generalization

Convolutional neural networks (CNNs) have demonstrated gratifying result...

0 Rang Meng, et al. ∙

research

∙ 09/07/2022

A Survey of Neural Trees

Neural networks (NNs) and decision trees (DTs) are both popular models o...

0 Haoling Li, et al. ∙

research

∙ 08/22/2022

ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition

Prototypical part network (ProtoPNet) has drawn wide attention and boost...

0 Mengqi Xue, et al. ∙

research

∙ 07/27/2022

Federated Selective Aggregation for Knowledge Amalgamation

In this paper, we explore a new knowledge-amalgamation problem, termed F...

0 Donglin Xie, et al. ∙

research

∙ 07/17/2022

Learning with Recoverable Forgetting

Life-long learning aims at learning a sequence of tasks without forgetti...

0 Jingwen Ye, et al. ∙

research

∙ 07/08/2022

Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning

Deep cooperative multi-agent reinforcement learning has demonstrated its...

0 Shunyu Liu, et al. ∙

research

∙ 07/05/2022

Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework

Despite the promising results achieved, state-of-the-art interactive rei...

0 Shunyu Liu, et al. ∙

research

∙ 06/14/2022

Slimmable Domain Adaptation

Vanilla unsupervised domain adaptation methods tend to optimize the mode...

0 Rang Meng, et al. ∙

research

∙ 06/14/2022

Label Matching Semi-Supervised Object Detection

Semi-supervised object detection has made significant progress with the ...

0 Binbin Chen, et al. ∙

research

∙ 06/13/2022

Learning Domain Adaptive Object Detection with Probabilistic Teacher

Self-training for unsupervised domain adaptive object detection is a cha...

0 Meilin Chen, et al. ∙

research

∙ 05/12/2022

Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System

The real-time transient stability assessment (TSA) plays a critical role...

0 Kaixuan Chen, et al. ∙

research

∙ 05/05/2022

Spot-adaptive Knowledge Distillation

Knowledge distillation (KD) has become a well established paradigm for c...

5 Jie Song, et al. ∙

research

∙ 04/25/2022

Mining and searching association relation of scientific papers based on deep learning

There is a complex correlation among the data of scientific papers. The ...

0 Jie Song, et al. ∙

research

∙ 03/31/2022

An unsupervised cluster-level based method for learning node representations of heterogeneous graphs in scientific papers

Learning knowledge representation of scientific paper data is a problem ...

0 Jie Song, et al. ∙

research

∙ 03/22/2022

Meta-attention for ViT-backed Continual Learning

Continual learning is a longstanding research topic due to its crucial r...

0 Mengqi Xue, et al. ∙

research

∙ 03/22/2022

Root-aligned SMILES for Molecular Retrosynthesis Prediction

Retrosynthesis prediction is a fundamental problem in organic synthesis,...

0 Zipeng Zhong, et al. ∙

research

∙ 03/07/2022

Knowledge Amalgamation for Object Detection with Transformers

Knowledge amalgamation (KA) is a novel deep model reusing task aiming to...

6 Haofei Zhang, et al. ∙

research

∙ 03/03/2022

PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence

We present a novel method to learn Personalized Implicit Neural Avatars ...

0 Zijian Dong, et al. ∙

research

∙ 01/17/2022

Dual Perceptual Loss for Single Image Super-Resolution Using ESRGAN

The proposal of perceptual loss solves the problem that per-pixel differ...

2 Jie Song, et al. ∙

research

∙ 01/11/2022

gDNA: Towards Generative Detailed Neural Avatars

To make 3D human avatars widely available, we must be able to generate a...

16 Xu Chen, et al. ∙

research

∙ 12/12/2021

Up to 100x Faster Data-free Knowledge Distillation

Data-free knowledge distillation (DFKD) has recently been attracting inc...

0 Gongfan Fang, et al. ∙

research

∙ 12/11/2021

Auto-Tag: Tagging-Data-By-Example in Data Lakes

As data lakes become increasingly popular in large enterprises today, th...

43 Yeye He, et al. ∙

research

∙ 12/09/2021

Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers

Recently, Convolutional Neural Network (CNN) has achieved excellent perf...

1 Zunlei Feng, et al. ∙

research

∙ 12/07/2021

Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training

Recently, vision Transformers (ViTs) are developing rapidly and starting...

0 Haofei Zhang, et al. ∙

research

∙ 12/06/2021

A Survey of Deep Learning for Low-Shot Object Detection

Object detection is a fundamental task in computer vision and image proc...

0 Qihan Huang, et al. ∙

research

∙ 12/05/2021

Safe Distillation Box

Knowledge distillation (KD) has recently emerged as a powerful strategy ...

1 Jingwen Ye, et al. ∙

research

∙ 12/01/2021

D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions

We introduce the dynamic grasp synthesis task: given an object with a kn...

0 Sammy Christen, et al. ∙

research

∙ 11/29/2021

Human Performance Capture from Monocular Video in the Wild

Capturing the dynamically deforming 3D shape of clothed human is essenti...

0 Chen Guo, et al. ∙

research

∙ 11/01/2021

Render In-between: Motion Guided Video Synthesis for Action Interpolation

Upsampling videos of human activity is an interesting yet challenging ta...

0 Hsuan-I Ho, et al. ∙

research

∙ 10/27/2021

Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data

Knowledge distillation (KD) aims to craft a compact student model that i...

0 Gongfan Fang, et al. ∙

research

∙ 10/06/2021

Revisiting Dimensionality Reduction Techniques for Visual Cluster Analysis: An Empirical Study

Dimensionality Reduction (DR) techniques can generate 2D projections and...

0 Jiazhi Xia, et al. ∙

research

∙ 10/05/2021

Shape-aware Multi-Person Pose Estimation from Multi-View Images

In this paper we contribute a simple yet effective approach for estimati...

0 Zijian Dong, et al. ∙

research

∙ 09/29/2021

Distribution Knowledge Embedding for Graph Pooling

Graph-level representation learning is the pivotal step for downstream t...

0 Kaixuan Chen, et al. ∙

research

∙ 05/18/2021

Contrastive Model Inversion for Data-Free Knowledge Distillation

Model inversion, whose goal is to recover training data from a pre-train...

0 Gongfan Fang, et al. ∙

research

∙ 05/10/2021

KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation

Knowledge distillation (KD) has recently emerged as an efficacious schem...

0 Mengqi Xue, et al. ∙

research

∙ 04/10/2021

Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes

Complex data pipelines are increasingly common in diverse applications s...

0 Jie Song, et al. ∙

research

∙ 03/05/2021

Data-Driven Short-Term Voltage Stability Assessment Based on Spatial-Temporal Graph Convolutional Network

Post-fault dynamics of short-term voltage stability (SVS) present spatia...

0 Yonghong Luo, et al. ∙

research

∙ 02/28/2021

Training Generative Adversarial Networks in One Stage

Generative Adversarial Networks (GANs) have demonstrated unprecedented s...

0 Chengchao Shen, et al. ∙

Jie Song

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