Qianli Ma | DeepAI

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Yoshua Bengio
448 publications
Kyunghyun Cho
218 publications
Min Zhang
214 publications
Yan Zhang
195 publications
Aaron Courville
152 publications
Marc Pollefeys
129 publications
Yue Wu
122 publications
Michael J. Black
116 publications
Ying Zhang
107 publications
Razvan Pascanu
87 publications
Andreas Geiger
81 publications

∙ 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...

0 Linghao Wang, et al. ∙

∙ 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...

0 Junhao Zheng, et al. ∙

∙ 05/25/2023

Perturbation-based Self-supervised Attention for Attention Bias in Text Classification

In text classification, the traditional attention mechanisms usually foc...

0 Huawen Feng, et al. ∙

∙ 05/18/2023

A Survey on Time-Series Pre-Trained Models

Time-Series Mining (TSM) is an important research area since it shows gr...

0 Qianli Ma, et al. ∙

∙ 04/12/2023

Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views

Automatic perception of human behaviors during social interactions is cr...

7 Siwei Zhang, et al. ∙

∙ 04/05/2023

Dynamic Point Fields

Recent years have witnessed significant progress in the field of neural ...

0 Sergey Prokudin, et al. ∙

∙ 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...

0 Junlong Liu, et al. ∙

∙ 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...

0 Junhao Zheng, et al. ∙

∙ 09/14/2022

Neural Point-based Shape Modeling of Humans in Challenging Clothing

Parametric 3D body models like SMPL only represent minimally-clothed peo...

0 Qianli Ma, et al. ∙

∙ 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...

0 Siwei Zhang, et al. ∙

∙ 09/02/2021

The Power of Points for Modeling Humans in Clothing

Currently it requires an artist to create 3D human avatars with realisti...

7 Qianli Ma, et al. ∙

∙ 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...

0 Shaofei Wang, et al. ∙

∙ 06/17/2021

Embedding-based Product Retrieval in Taobao Search

Nowadays, the product search service of e-commerce platforms has become ...

0 Sen Li, et al. ∙

∙ 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 ...

25 Qianli Ma, et al. ∙

∙ 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,...

0 Sipu Ruan, et al. ∙

∙ 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...

10 Shunsuke Saito, et al. ∙

∙ 08/12/2020

Generating Person-Scene Interactions in 3D Scenes

High fidelity digital 3D environments have been proposed in recent years...

6 Siwei Zhang, et al. ∙

∙ 07/31/2019

Learning to Dress 3D People in Generative Clothing

Three-dimensional human body models are widely used in the analysis of h...

0 Qianli Ma, et al. ∙

∙ 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...

0 Qianli Ma, et al. ∙

∙ 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 ...

0 Wenguang Yuan, et al. ∙

∙ 06/03/2019

Low-rank Random Tensor for Bilinear Pooling

Bilinear pooling is capable of extracting high-order information from da...

0 Yan Zhang, et al. ∙

∙ 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...

0 Min Zhang, et al. ∙

∙ 11/13/2017

Deep-ESN: A Multiple Projection-encoding Hierarchical Reservoir Computing Framework

As an efficient recurrent neural network (RNN) model, reservoir computin...

0 Qianli Ma, et al. ∙

∙ 05/09/2016

Theano: A Python framework for fast computation of mathematical expressions

Theano is a Python library that allows to define, optimize, and evaluate...

0 The Theano Development Team, et al. ∙

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