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08/22/2023
Meta-Stock: Task-Difficulty-Adaptive Meta-learning for Sub-new Stock Price Prediction
Sub-new stock price prediction, forecasting the price trends of stocks l...
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06/19/2023
Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference
Fine-tuning has been proven to be a simple and effective technique to tr...
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05/25/2023
Perturbation-based Self-supervised Attention for Attention Bias in Text Classification
In text classification, the traditional attention mechanisms usually foc...
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05/18/2023
A Survey on Time-Series Pre-Trained Models
Time-Series Mining (TSM) is an important research area since it shows gr...
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04/12/2023
Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views
Automatic perception of human behaviors during social interactions is cr...
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04/05/2023
Dynamic Point Fields
Recent years have witnessed significant progress in the field of neural ...
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12/04/2022
Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction
Emotion-cause pair extraction (ECPE) aims to extract emotion clauses and...
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10/08/2022
Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition
Continual Learning for Named Entity Recognition (CL-NER) aims to learn a...
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09/14/2022
Neural Point-based Shape Modeling of Humans in Challenging Clothing
Parametric 3D body models like SMPL only represent minimally-clothed peo...
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12/14/2021
EgoBody: Human Body Shape, Motion and Social Interactions from Head-Mounted Devices
Understanding social interactions from first-person views is crucial for...
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09/02/2021
The Power of Points for Modeling Humans in Clothing
Currently it requires an artist to create 3D human avatars with realisti...
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06/22/2021
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images
In this paper, we aim to create generalizable and controllable neural si...
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06/17/2021
Embedding-based Product Retrieval in Taobao Search
Nowadays, the product search service of e-commerce platforms has become ...
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04/15/2021
SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements
Learning to model and reconstruct humans in clothing is challenging due ...
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04/10/2021
Efficient Path Planning in Narrow Passages via Closed-Form Minkowski Operations
Path planning has long been one of the major research areas in robotics,...
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04/07/2021
SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks
We present SCANimate, an end-to-end trainable framework that takes raw 3...
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08/12/2020
Generating Person-Scene Interactions in 3D Scenes
High fidelity digital 3D environments have been proposed in recent years...
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07/31/2019
Learning to Dress 3D People in Generative Clothing
Three-dimensional human body models are widely used in the analysis of h...
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07/31/2019
Dressing 3D Humans using a Conditional Mesh-VAE-GAN
Three-dimensional human body models are widely used in the analysis of h...
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07/08/2019
Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation From Multimodal Unpaired Images
In medical applications, the same anatomical structures may be observed ...
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06/03/2019
Low-rank Random Tensor for Bilinear Pooling
Bilinear pooling is capable of extracting high-order information from da...
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06/30/2018
Classification of lung nodules in CT images based on Wasserstein distance in differential geometry
Lung nodules are commonly detected in screening for patients with a risk...
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11/13/2017
Deep-ESN: A Multiple Projection-encoding Hierarchical Reservoir Computing Framework
As an efficient recurrent neural network (RNN) model, reservoir computin...
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05/09/2016