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08/20/2023
Co-Evolution of Pose and Mesh for 3D Human Body Estimation from Video
Despite significant progress in single image-based 3D human mesh recover...
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08/13/2023
FastLLVE: Real-Time Low-Light Video Enhancement with Intensity-Aware Lookup Table
Low-Light Video Enhancement (LLVE) has received considerable attention i...
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07/15/2023
Joint Adversarial and Collaborative Learning for Self-Supervised Action Recognition
Considering the instance-level discriminative ability, contrastive learn...
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07/05/2023
Suboptimal subspace construction for log-determinant approximation
Variance reduction is a crucial idea for Monte Carlo simulation and the ...
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07/03/2023
An analysis on stochastic Lanczos quadrature with asymmetric quadrature nodes
The stochastic Lanczos quadrature method has garnered significant attent...
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06/28/2023
Allocating Divisible Resources on Arms with Unknown and Random Rewards
We consider a decision maker allocating one unit of renewable and divisi...
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06/15/2023
Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image Segmentation
The Segmentation Anything Model (SAM) has recently emerged as a foundati...
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06/15/2023
MCPI: Integrating Multimodal Data for Enhanced Prediction of Compound Protein Interactions
The identification of compound-protein interactions (CPI) plays a critic...
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06/08/2023
Negotiated Reasoning: On Provably Addressing Relative Over-Generalization
Over-generalization is a thorny issue in cognitive science, where people...
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05/26/2023
LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations
Can a Large Language Model (LLM) solve simple abstract reasoning problem...
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05/19/2023
Efficient Cross-Lingual Transfer for Chinese Stable Diffusion with Images as Pivots
Diffusion models have made impressive progress in text-to-image synthesi...
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05/18/2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning
The difficulty of appropriately assigning credit is particularly heighte...
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05/10/2023
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas
In multi-agent reinforcement learning, each agent acts to maximize its i...
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05/08/2023
Information Design in Multi-Agent Reinforcement Learning
Reinforcement learning (RL) mimics how humans and animals interact with ...
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05/05/2023
Deep Learning for Solving and Estimating Dynamic Macro-Finance Models
We develop a methodology that utilizes deep learning to simultaneously s...
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04/27/2023
Interweaved Graph and Attention Network for 3D Human Pose Estimation
Despite substantial progress in 3D human pose estimation from a single-v...
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03/10/2023
GATOR: Graph-Aware Transformer with Motion-Disentangled Regression for Human Mesh Recovery from a 2D Pose
3D human mesh recovery from a 2D pose plays an important role in various...
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03/03/2023
Feature Completion Transformer for Occluded Person Re-identification
Occluded person re-identification (Re-ID) is a challenging problem due t...
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02/23/2023
Diverse Policy Optimization for Structured Action Space
Enhancing the diversity of policies is beneficial for robustness, explor...
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02/20/2023
HTNet: Human Topology Aware Network for 3D Human Pose Estimation
3D human pose estimation errors would propagate along the human body top...
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01/31/2023
Learning Roles with Emergent Social Value Orientations
Social dilemmas can be considered situations where individual rationalit...
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11/20/2022
Algorithmic Decision-Making Safeguarded by Human Knowledge
Commercial AI solutions provide analysts and managers with data-driven b...
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11/14/2022
Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention
Recently, powerful Transformer architectures have proven superior in gen...
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11/10/2022
Understanding ME? Multimodal Evaluation for Fine-grained Visual Commonsense
Visual commonsense understanding requires Vision Language (VL) models to...
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10/22/2022
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation
Variational Auto-Encoder (VAE) has been widely adopted in text generatio...
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07/13/2022
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation
The past several years have witnessed Variational Auto-Encoder's superio...
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06/13/2022
GraphMLP: A Graph MLP-Like Architecture for 3D Human Pose Estimation
Modern multi-layer perceptron (MLP) models have shown competitive result...
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02/21/2022
StyleBERT: Chinese pretraining by font style information
With the success of down streaming task using English pre-trained langua...
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02/08/2022
Multi-Agent Path Finding with Prioritized Communication Learning
Multi-agent pathfinding (MAPF) has been widely used to solve large-scale...
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12/09/2021
VMAgent: Scheduling Simulator for Reinforcement Learning
A novel simulator called VMAgent is introduced to help RL researchers be...
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11/24/2021
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation
Estimating 3D human poses from monocular videos is a challenging task du...
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11/15/2021
Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration
Medical image segmentation is one of the fundamental problems for artifi...
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06/03/2021
CCPM: A Chinese Classical Poetry Matching Dataset
Poetry is one of the most important art forms of human languages. Recent...
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05/23/2021
Weakly-supervised Cross-view 3D Human Pose Estimation
Although monocular 3D human pose estimation methods have made significan...
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03/26/2021
Lifting Transformer for 3D Human Pose Estimation in Video
Despite great progress in video-based 3D human pose estimation, it is st...
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02/21/2021
Dealing with Non-Stationarity in Multi-Agent Reinforcement Learning via Trust Region Decomposition
Non-stationarity is one thorny issue in multi-agent reinforcement learni...
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02/09/2021
DHLink: A Microservice Platform supporting Rapid Application Development and Secure Real-time Data Sharing in Digital Health
Digital health applications that leverage multiple sources of patient da...
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02/09/2021
Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning
When solving a complex task, humans will spontaneously form teams and to...
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10/26/2020
Malicious Requests Detection with Improved Bidirectional Long Short-term Memory Neural Networks
Detecting and intercepting malicious requests are one of the most widely...
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09/17/2020
Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection
We consider a contextual online learning (multi-armed bandit) problem wi...
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04/17/2020
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning
Traditional centralized multi-agent reinforcement learning (MARL) algori...
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03/13/2020
MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space
As an essential step towards computer creativity, automatic poetry gener...
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02/11/2020
Hyper-Meta Reinforcement Learning with Sparse Reward
Despite their success, existing meta reinforcement learning methods stil...
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02/11/2020
Learning Structured Communication for Multi-agent Reinforcement Learning
This work explores the large-scale multi-agent communication mechanism u...
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11/23/2019
Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning
Existing automatic 3D image segmentation methods usually fail to meet th...
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07/15/2019
A Dimension-free Algorithm for Contextual Continuum-armed Bandits
In contextual continuum-armed bandits, the contexts x and the arms y are...
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10/29/2017