b'Mingming Gong'

research

∙ 05/25/2023

CLIP3Dstyler: Language Guided 3D Arbitrary Neural Style Transfer

In this paper, we propose a novel language-guided 3D arbitrary neural st...

0 Ming Gao, et al. ∙

research

∙ 04/20/2023

Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering

The rendering scheme in neural radiance field (NeRF) is effective in ren...

0 Dongting Hu, et al. ∙

research

∙ 03/31/2023

Knowledge Distillation for Feature Extraction in Underwater VSLAM

In recent years, learning-based feature detection and matching have outp...

0 Jinghe Yang, et al. ∙

research

∙ 03/16/2023

Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation

Recently, Table Structure Recognition (TSR) task, aiming at identifying ...

0 Hao Liu, et al. ∙

research

∙ 12/17/2022

TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective

Determining causal effects of temporal multi-intervention assists decisi...

4 Pengfei Xi, et al. ∙

research

∙ 11/27/2022

3D Scene Creation and Rendering via Rough Meshes: A Lighting Transfer Avenue

This paper studies how to flexibly integrate reconstructed 3D models int...

0 Yujie Li, et al. ∙

research

∙ 11/20/2022

Adaptive Edge-to-Edge Interaction Learning for Point Cloud Analysis

Recent years have witnessed the great success of deep learning on variou...

0 Shanshan Zhao, et al. ∙

research

∙ 10/04/2022

Strength-Adaptive Adversarial Training

Adversarial training (AT) is proved to reliably improve network's robust...

0 Chaojian Yu, et al. ∙

research

∙ 09/21/2022

Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition

Skeleton-based action recognition receives increasing attention because ...

0 Anqi Zhu, et al. ∙

research

∙ 09/07/2022

On the Sparse DAG Structure Learning Based on Adaptive Lasso

Learning the underlying casual structure, represented by Directed Acycli...

10 Danru Xu, et al. ∙

research

∙ 07/21/2022

MetaComp: Learning to Adapt for Online Depth Completion

Relying on deep supervised or self-supervised learning, previous methods...

0 Yang Chen, et al. ∙

research

∙ 07/21/2022

Detecting Deepfake by Creating Spatio-Temporal Regularity Disruption

Despite encouraging progress in deepfake detection, generalization to un...

11 Jiazhi Guan, et al. ∙

research

∙ 07/07/2022

Harnessing Out-Of-Distribution Examples via Augmenting Content and Style

Machine learning models are vulnerable to Out-Of-Distribution (OOD) exam...

0 Zhuo Huang, et al. ∙

research

∙ 07/07/2022

Style Interleaved Learning for Generalizable Person Re-identification

Domain generalization (DG) for person re-identification (ReID) is a chal...

0 Wentao Tan, et al. ∙

research

∙ 06/28/2022

Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation

An organ segmentation method that can generalize to unseen contrasts and...

0 Yanwu Xu, et al. ∙

research

∙ 06/17/2022

Understanding Robust Overfitting of Adversarial Training and Beyond

Robust overfitting widely exists in adversarial training of deep network...

0 Chaojian Yu, et al. ∙

research

∙ 06/09/2022

A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning

The generalization of model-based reinforcement learning (MBRL) methods ...

0 Jixian Guo, et al. ∙

research

∙ 05/30/2022

Robust Weight Perturbation for Adversarial Training

Overfitting widely exists in adversarial robust training of deep network...

0 Chaojian Yu, et al. ∙

research

∙ 05/27/2022

Counterfactual Fairness with Partially Known Causal Graph

Fair machine learning aims to avoid treating individuals or sub-populati...

0 Aoqi Zuo, et al. ∙

research

∙ 05/27/2022

MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models

State-of-the-art causal discovery methods usually assume that the observ...

0 Erdun Gao, et al. ∙

research

∙ 05/10/2022

On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis

The establishment of the link between causality and unsupervised domain ...

0 Xuetong Wu, et al. ∙

research

∙ 04/18/2022

MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning

Binary pointwise labels (aka implicit feedback) are heavily leveraged by...

0 Menghan Wang, et al. ∙

research

∙ 01/30/2022

Do We Need to Penalize Variance of Losses for Learning with Label Noise?

Algorithms which minimize the averaged loss have been widely designed fo...

0 Yexiong Lin, et al. ∙

research

∙ 12/07/2021

Federated Causal Discovery

Causal discovery aims to learn a causal graph from observational data. T...

0 Erdun Gao, et al. ∙

research

∙ 11/30/2021

CRIS: CLIP-Driven Referring Image Segmentation

Referring image segmentation aims to segment a referent via a natural li...

0 Zhaoqing Wang, et al. ∙

research

∙ 10/04/2021

Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization

Domain generalization (DG) aims to learn from multiple source domains a ...

0 Junkun Yuan, et al. ∙

research

∙ 09/24/2021

Unaligned Image-to-Image Translation by Learning to Reweight

Unsupervised image-to-image translation aims at learning the mapping fro...

0 Shaoan Xie, et al. ∙

research

∙ 09/07/2021

Instance-dependent Label-noise Learning under a Structural Causal Model

Label noise will degenerate the performance of deep learning algorithms ...

0 Yu Yao, et al. ∙

research

∙ 08/22/2021

Uncertainty-aware Clustering for Unsupervised Domain Adaptive Object Re-identification

Unsupervised Domain Adaptive (UDA) object re-identification (Re-ID) aims...

0 Pengfei Wang, et al. ∙

research

∙ 08/19/2021

Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision

Deep learning has achieved remarkable success in medicalimage segmentati...

14 Yanwu Xu, et al. ∙

research

∙ 07/19/2021

Exploring Set Similarity for Dense Self-supervised Representation Learning

By considering the spatial correspondence, dense self-supervised represe...

3 Zhaoqing Wang, et al. ∙

research

∙ 07/10/2021

Kernel Mean Estimation by Marginalized Corrupted Distributions

Estimating the kernel mean in a reproducing kernel Hilbert space is a cr...

0 Xiaobo Xia, et al. ∙

research

∙ 06/11/2021

Adversarial Robustness through the Lens of Causality

The adversarial vulnerability of deep neural networks has attracted sign...

12 Yonggang Zhang, et al. ∙

research

∙ 06/01/2021

Instance Correction for Learning with Open-set Noisy Labels

The problem of open-set noisy labels denotes that part of training data ...

0 Xiaobo Xia, et al. ∙

research

∙ 06/01/2021

Sample Selection with Uncertainty of Losses for Learning with Noisy Labels

In learning with noisy labels, the sample selection approach is very pop...

0 Xiaobo Xia, et al. ∙

research

∙ 03/17/2021

Learning with Group Noise

Machine learning in the context of noise is a challenging but practical ...

0 Qizhou Wang, et al. ∙

research

∙ 10/23/2020

Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning

Image-based 3D shape retrieval (IBSR) aims to find the corresponding 3D ...

0 Huan Fu, et al. ∙

research

∙ 10/22/2020

Deep Learning is Singular, and That's Good

In singular models, the optimal set of parameters forms an analytic set ...

0 Daniel Murfet, et al. ∙

research

∙ 09/21/2020

3D-FUTURE: 3D Furniture shape with TextURE

The 3D CAD shapes in current 3D benchmarks are mostly collected from onl...

16 Huan Fu, et al. ∙

research

∙ 08/25/2020

Adaptive Context-Aware Multi-Modal Network for Depth Completion

Depth completion aims to recover a dense depth map from the sparse depth...

0 Shanshan Zhao, et al. ∙

research

∙ 06/14/2020

Parts-dependent Label Noise: Towards Instance-dependent Label Noise

Learning with the instance-dependent label noise is challenging, because...

0 Xiaobo Xia, et al. ∙

research

∙ 06/14/2020

Class2Simi: A New Perspective on Learning with Label Noise

Label noise is ubiquitous in the era of big data. Deep learning algorith...

0 Songhua Wu, et al. ∙

research

∙ 06/14/2020

Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning

The transition matrix, denoting the transition relationship from clean l...

0 Yu Yao, et al. ∙

research

∙ 02/16/2020

Multi-Class Classification from Noisy-Similarity-Labeled Data

A similarity label indicates whether two instances belong to the same cl...

9 Songhua Wu, et al. ∙

research

∙ 02/10/2020

Towards Mixture Proportion Estimation without Irreducibility

Mixture proportion estimation (MPE) is a fundamental problem of practica...

1 Yu Yao, et al. ∙

research

∙ 02/09/2020

Domain Adaptation As a Problem of Inference on Graphical Models

This paper is concerned with data-driven unsupervised domain adaptation,...

20 Kun Zhang, et al. ∙

research

∙ 09/04/2019

Likelihood-Free Overcomplete ICA and Applications in Causal Discovery

Causal discovery witnessed significant progress over the past decades. I...

0 Chenwei Ding, et al. ∙

research

∙ 07/16/2019

Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach

Majority of state-of-the-art monocular depth estimation methods are supe...

1 Yipeng Mou, et al. ∙

research

∙ 07/05/2019

Twin Auxiliary Classifiers GAN

Conditional generative models enjoy remarkable progress over the past fe...

2 Mingming Gong, et al. ∙

research

∙ 05/26/2019

Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models

In many scientific fields, such as economics and neuroscience, we are of...

0 Biwei Huang, et al. ∙

Mingming Gong

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