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09/20/2023
ModelGiF: Gradient Fields for Model Functional Distance
The last decade has witnessed the success of deep learning and the surge...
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09/07/2023
ArtiGrasp: Physically Plausible Synthesis of Bi-Manual Dexterous Grasping and Articulation
We present ArtiGrasp, a novel method to synthesize bi-manual hand-object...
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08/31/2023
EMDB: The Electromagnetic Database of Global 3D Human Pose and Shape in the Wild
We present EMDB, the Electromagnetic Database of Global 3D Human Pose an...
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06/13/2023
Lookaround Optimizer: k steps around, 1 step average
Weight Average (WA) is an active research topic due to its simplicity in...
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05/27/2023
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Centralized Training with Decentralized Execution (CTDE) has recently em...
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04/28/2023
Learning Locally Editable Virtual Humans
In this paper, we propose a novel hybrid representation and end-to-end t...
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04/15/2023
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation
Temporal graphs exhibit dynamic interactions between nodes over continuo...
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03/30/2023
Human from Blur: Human Pose Tracking from Blurry Images
We propose a method to estimate 3D human poses from substantially blurre...
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03/27/2023
Hi4D: 4D Instance Segmentation of Close Human Interaction
We propose Hi4D, a method and dataset for the automatic analysis of phys...
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03/08/2023
X-Avatar: Expressive Human Avatars
We present X-Avatar, a novel avatar model that captures the full express...
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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...
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01/14/2023
Recent advances in artificial intelligence for retrosynthesis
Retrosynthesis is the cornerstone of organic chemistry, providing chemis...
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12/20/2022
InstantAvatar: Learning Avatars from Monocular Video in 60 Seconds
In this paper, we take a significant step towards real-world applicabili...
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11/28/2022
Fast-SNARF: A Fast Deformer for Articulated Neural Fields
Neural fields have revolutionized the area of 3D reconstruction and nove...
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11/23/2022
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
Value Decomposition (VD) aims to deduce the contributions of agents for ...
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11/12/2022
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
Reinforcement Learning (RL) is a popular machine learning paradigm where...
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10/09/2022
Attention Diversification for Domain Generalization
Convolutional neural networks (CNNs) have demonstrated gratifying result...
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09/07/2022
A Survey of Neural Trees
Neural networks (NNs) and decision trees (DTs) are both popular models o...
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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...
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07/27/2022
Federated Selective Aggregation for Knowledge Amalgamation
In this paper, we explore a new knowledge-amalgamation problem, termed F...
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07/17/2022
Learning with Recoverable Forgetting
Life-long learning aims at learning a sequence of tasks without forgetti...
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07/08/2022
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
Deep cooperative multi-agent reinforcement learning has demonstrated its...
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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...
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06/14/2022
Slimmable Domain Adaptation
Vanilla unsupervised domain adaptation methods tend to optimize the mode...
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06/14/2022
Label Matching Semi-Supervised Object Detection
Semi-supervised object detection has made significant progress with the ...
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06/13/2022
Learning Domain Adaptive Object Detection with Probabilistic Teacher
Self-training for unsupervised domain adaptive object detection is a cha...
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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...
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05/05/2022
Spot-adaptive Knowledge Distillation
Knowledge distillation (KD) has become a well established paradigm for c...
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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 ...
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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 ...
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03/22/2022
Meta-attention for ViT-backed Continual Learning
Continual learning is a longstanding research topic due to its crucial r...
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03/22/2022
Root-aligned SMILES for Molecular Retrosynthesis Prediction
Retrosynthesis prediction is a fundamental problem in organic synthesis,...
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03/07/2022
Knowledge Amalgamation for Object Detection with Transformers
Knowledge amalgamation (KA) is a novel deep model reusing task aiming to...
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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 ...
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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...
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01/11/2022
gDNA: Towards Generative Detailed Neural Avatars
To make 3D human avatars widely available, we must be able to generate a...
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12/12/2021
Up to 100x Faster Data-free Knowledge Distillation
Data-free knowledge distillation (DFKD) has recently been attracting inc...
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12/11/2021
Auto-Tag: Tagging-Data-By-Example in Data Lakes
As data lakes become increasingly popular in large enterprises today, th...
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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...
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12/07/2021
Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training
Recently, vision Transformers (ViTs) are developing rapidly and starting...
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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...
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12/05/2021
Safe Distillation Box
Knowledge distillation (KD) has recently emerged as a powerful strategy ...
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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...
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11/29/2021
Human Performance Capture from Monocular Video in the Wild
Capturing the dynamically deforming 3D shape of clothed human is essenti...
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11/01/2021
Render In-between: Motion Guided Video Synthesis for Action Interpolation
Upsampling videos of human activity is an interesting yet challenging ta...
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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...
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10/06/2021
Revisiting Dimensionality Reduction Techniques for Visual Cluster Analysis: An Empirical Study
Dimensionality Reduction (DR) techniques can generate 2D projections and...
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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...
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09/29/2021
Distribution Knowledge Embedding for Graph Pooling
Graph-level representation learning is the pivotal step for downstream t...
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05/18/2021
