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09/17/2023
From Cooking Recipes to Robot Task Trees – Improving Planning Correctness and Task Efficiency by Leveraging LLMs with a Knowledge Network
Task planning for robotic cooking involves generating a sequence of acti...
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07/18/2023
ActionPrompt: Action-Guided 3D Human Pose Estimation With Text and Pose Prompting
Recent 2D-to-3D human pose estimation (HPE) utilizes temporal consistenc...
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07/05/2023
Only Pick Once – Multi-Object Picking Algorithms for Picking Exact Number of Objects Efficiently
Picking up multiple objects at once is a grasping skill that makes a hum...
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06/05/2023
TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environments
Although the estimation of 3D human pose and shape (HPS) is rapidly prog...
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05/31/2023
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials
Heterogeneous Graph Neural Networks (HGNNs) have gained significant popu...
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05/29/2023
Test-Time Training on Nearest Neighbors for Large Language Models
Many recent efforts aim to augment language models with relevant informa...
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04/25/2023
Learning Task-Specific Strategies for Accelerated MRI
Compressed sensing magnetic resonance imaging (CS-MRI) seeks to recover ...
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02/21/2023
Label Information Enhanced Fraud Detection against Low Homophily in Graphs
Node classification is a substantial problem in graph-based fraud detect...
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02/15/2023
Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation
There has been a recent surge of interest in introducing transformers to...
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02/09/2023
ERNIE-Music: Text-to-Waveform Music Generation with Diffusion Models
In recent years, there has been an increased popularity in image and spe...
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01/09/2023
ERNIE 3.0 Tiny: Frustratingly Simple Method to Improve Task-Agnostic Distillation Generalization
Task-agnostic knowledge distillation attempts to address the problem of ...
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12/13/2022
ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages
Software engineers working with the same programming language (PL) may s...
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11/30/2022
X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection
Detecting sarcasm and verbal irony from people's subjective statements i...
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11/27/2022
X-PuDu at SemEval-2022 Task 7: A Replaced Token Detection Task Pre-trained Model with Pattern-aware Ensembling for Identifying Plausible Clarifications
This paper describes our winning system on SemEval 2022 Task 7: Identify...
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11/09/2022
ERNIE-UniX2: A Unified Cross-lingual Cross-modal Framework for Understanding and Generation
Recent cross-lingual cross-modal works attempt to extend Vision-Language...
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11/07/2022
ERNIE-SAT: Speech and Text Joint Pretraining for Cross-Lingual Multi-Speaker Text-to-Speech
Speech representation learning has improved both speech understanding an...
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10/31/2022
SDCL: Self-Distillation Contrastive Learning for Chinese Spell Checking
Due to the ambiguity of homophones, Chinese Spell Checking (CSC) has wid...
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10/27/2022
ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts
Recent progress in diffusion models has revolutionized the popular techn...
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10/21/2022
Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards
Derivative-free prompt learning has emerged as a lightweight alternative...
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10/18/2022
CPS-MEBR: Click Feedback-Aware Web Page Summarization for Multi-Embedding-Based Retrieval
Embedding-based retrieval (EBR) is a technique to use embeddings to repr...
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10/12/2022
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding
Recent years have witnessed the rise and success of pre-training techniq...
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09/30/2022
ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-training
Recent Vision-Language Pre-trained (VLP) models based on dual encoder ha...
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09/18/2022
ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding
Recent efforts of multimodal Transformers have improved Visually Rich Do...
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09/15/2022
Test-Time Training with Masked Autoencoders
Test-time training adapts to a new test distribution on the fly by optim...
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09/02/2022
WOC: A Handy Webcam-based 3D Online Chatroom
We develop WOC, a webcam-based 3D virtual online chatroom for multi-pers...
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08/09/2022
An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition
Named entity recognition (NER) is the task to detect and classify the en...
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07/08/2022
Approximate Task Tree Retrieval in a Knowledge Network for Robotic Cooking
Flexible task planning continues to pose a difficult challenge for robot...
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05/30/2022
Multi-Object Grasping – Types and Taxonomy
This paper proposes 12 multi-object grasps (MOGs) types from a human and...
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05/29/2022
A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks
Deep neural networks (DNNs) often rely on massive labelled data for trai...
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05/19/2022
Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters
The ever-growing model size and scale of compute have attracted increasi...
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05/13/2022
Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning
Relational graph neural networks have garnered particular attention to e...
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04/01/2022
Robust Neonatal Face Detection in Real-world Clinical Settings
Current face detection algorithms are extremely generalized and can obta...
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02/28/2022
Learning Cross-Video Neural Representations for High-Quality Frame Interpolation
This paper considers the problem of temporal video interpolation, where ...
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01/19/2022
CyberRadar: A PUF-based Detecting and Mapping Framework for Physical Devices
The core issue of cyberspace detecting and mapping is to accurately iden...
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01/04/2022
Graph Neural Networks for Double-Strand DNA Breaks Prediction
Double-strand DNA breaks (DSBs) are a form of DNA damage that can cause ...
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12/31/2021
ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language Generation
Conventional methods for the image-text generation tasks mainly tackle t...
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12/23/2021
ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
Pre-trained language models have achieved state-of-the-art results in va...
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12/18/2021
Calorie Aware Automatic Meal Kit Generation from an Image
Calorie and nutrition research has attained increased interest in recent...
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12/18/2021
Multi-Object Grasping – Generating Efficient Robotic Picking and Transferring Policy
Transferring multiple objects between bins is a common task for many app...
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12/15/2021
Putting People in their Place: Monocular Regression of 3D People in Depth
Given an image with multiple people, our goal is to directly regress the...
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12/05/2021
Improving Intention Detection in Single-Trial Classification through Fusion of EEG and Eye-tracker Data
Intention decoding is an indispensable procedure in hands-free human-com...
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12/04/2021
Functional Task Tree Generation from a Knowledge Graph to Solve Unseen Problems
A major component for developing intelligent and autonomous robots is a ...
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12/02/2021
Graph4Rec: A Universal Toolkit with Graph Neural Networks for Recommender Systems
In recent years, owing to the outstanding performance in graph represent...
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11/30/2021
Multi-Object Grasping – Estimating the Number of Objects in a Robotic Grasp
A human hand can grasp a desired number of objects at once from a pile b...
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11/23/2021
Hierarchical Graph Networks for 3D Human Pose Estimation
Recent 2D-to-3D human pose estimation works tend to utilize the graph st...
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08/05/2021
Pattern Recognition in Vital Signs Using Spectrograms
Spectrograms visualize the frequency components of a given signal which ...
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08/03/2021
Research Challenges and Progress in Robotic Grasping and Manipulation Competitions
This paper discusses recent research progress in robotic grasping and ma...
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07/05/2021
ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
Pre-trained models have achieved state-of-the-art results in various Nat...
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06/04/2021
ERNIE-Tiny : A Progressive Distillation Framework for Pretrained Transformer Compression
Pretrained language models (PLMs) such as BERT adopt a training paradigm...
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06/01/2021
