b'Shu Liu'

research

∙ 08/23/2023

A Scale-Invariant Task Balancing Approach for Multi-Task Learning

Multi-task learning (MTL), a learning paradigm to learn multiple related...

0 Baijiong Lin, et al. ∙

research

∙ 07/17/2023

Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation

Conditional diffusion models have demonstrated impressive performance in...

0 Luozhou Wang, et al. ∙

research

∙ 07/01/2023

Codes with Biochemical Constraints and Single Error Correction for DNA-Based Data Storage

In DNA-based data storage, DNA codes with biochemical constraints and er...

0 Shu Liu, et al. ∙

research

∙ 06/27/2023

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation-Extended Abstract

Few-shot semantic segmentation (FSS) aims to form class-agnostic models ...

0 Bohao Peng, et al. ∙

research

∙ 06/05/2023

Explicit Construction of q-ary 2-deletion Correcting Codes with Low Redundancy

We consider the problem of efficient construction of q-ary 2-deletion co...

0 Shu Liu, et al. ∙

research

∙ 05/31/2023

Parameterized Wasserstein Hamiltonian Flow

In this work, we propose a numerical method to compute the Wasserstein H...

0 Hao Wu, et al. ∙

research

∙ 03/29/2023

Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields

Synthesizing photo-realistic images from a point cloud is challenging be...

0 Tao Hu, et al. ∙

research

∙ 03/26/2023

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation

Few-shot semantic segmentation (FSS) aims to form class-agnostic models ...

0 Bohao Peng, et al. ∙

research

∙ 03/21/2023

Learning Context-aware Classifier for Semantic Segmentation

Semantic segmentation is still a challenging task for parsing diverse co...

0 Zhuotao Tian, et al. ∙

research

∙ 03/20/2023

Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection

Neural implicit surface learning has shown significant progress in multi...

0 Wenhang Ge, et al. ∙

research

∙ 02/06/2023

Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need

The core of out-of-distribution (OOD) detection is to learn the in-distr...

0 Jingyao Li, et al. ∙

research

∙ 12/04/2022

Lightweight Facial Attractiveness Prediction Using Dual Label Distribution

Facial attractiveness prediction (FAP) aims to assess the facial attract...

0 Shu Liu, et al. ∙

research

∙ 11/12/2022

A Lower Bound on the List-Decodability of Insdel Codes

For codes equipped with metrics such as Hamming metric, symbol pair metr...

0 Shu Liu, et al. ∙

research

∙ 09/26/2022

Generalized Parametric Contrastive Learning

In this paper, we propose the Generalized Parametric Contrastive Learnin...

0 Jiequan Cui, et al. ∙

research

∙ 09/12/2022

Optimal control for stochastic nonlinear Schrodinger equation on graph

We study the optimal control formulation for stochastic nonlinear Schrod...

0 Jianbo Cui, et al. ∙

research

∙ 08/30/2022

A new construction of nonlinear codes via algebraic function fields

In coding theory, constructing codes with good parameters is one of the ...

0 Shu Liu, et al. ∙

research

∙ 08/09/2022

Good locally repairable codes via propagation rules

In classical coding theory, it is common to construct new codes via prop...

0 Shu Liu, et al. ∙

research

∙ 07/20/2022

DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation

Unsupervised domain adaptation in semantic segmentation has been raised ...

0 Xin Lai, et al. ∙

research

∙ 07/20/2022

Improving Data Driven Inverse Text Normalization using Data Augmentation

Inverse text normalization (ITN) is used to convert the spoken form outp...

0 Laxmi Pandey, et al. ∙

research

∙ 07/12/2022

Upper bounds on maximum lengths of Singleton-optimal locally repairable codes

A locally repairable code is called Singleton-optimal if it achieves the...

0 Shu Liu, et al. ∙

research

∙ 06/02/2022

EfficientNeRF: Efficient Neural Radiance Fields

Neural Radiance Fields (NeRF) has been wildly applied to various tasks f...

0 Tao Hu, et al. ∙

research

∙ 04/06/2022

DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors

Camera-based 3D object detectors are welcome due to their wider deployme...

0 Yilun Chen, et al. ∙

research

∙ 03/28/2022

Stratified Transformer for 3D Point Cloud Segmentation

3D point cloud segmentation has made tremendous progress in recent years...

0 Xin Lai, et al. ∙

research

∙ 03/02/2022

SEA: Bridging the Gap Between One- and Two-stage Detector Distillation via SEmantic-aware Alignment

We revisit the one- and two-stage detector distillation tasks and presen...

0 Yixin Chen, et al. ∙

research

∙ 11/28/2021

Bounds and Constructions for Insertion and Deletion Codes

The present paper mainly studies limits and constructions of insertion a...

0 Shu Liu, et al. ∙

research

∙ 11/05/2021

Maximally recoverable local reconstruction codes from subspace direct sum systems

Maximally recoverable local reconstruction codes (MR LRCs for short) hav...

0 Shu Liu, et al. ∙

research

∙ 10/15/2021

Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation

Rapid progress in 3D semantic segmentation is inseparable from the advan...

0 Li Jiang, et al. ∙

research

∙ 09/27/2021

Deep Structured Instance Graph for Distilling Object Detectors

Effectively structuring deep knowledge plays a pivotal role in transfer ...

0 Yixin Chen, et al. ∙

research

∙ 08/30/2021

Exploring and Improving Mobile Level Vision Transformers

We study the vision transformer structure in the mobile level in this pa...

0 Pengguang Chen, et al. ∙

research

∙ 07/26/2021

Parametric Contrastive Learning

In this paper, we propose Parametric Contrastive Learning (PaCo) to tack...

1 Jiequan Cui, et al. ∙

research

∙ 07/26/2021

HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration

Point cloud registration is a fundamental problem in 3D computer vision....

0 Fan Lu, et al. ∙

research

∙ 06/27/2021

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency

Semantic segmentation has made tremendous progress in recent years. Howe...

0 Xin Lai, et al. ∙

research

∙ 06/07/2021

Scalable Computation of Monge Maps with General Costs

Monge map refers to the optimal transport map between two probability di...

0 Jiaojiao Fan, et al. ∙

research

∙ 04/19/2021

Distilling Knowledge via Knowledge Review

Knowledge distillation transfers knowledge from the teacher network to t...

0 Pengguang Chen, et al. ∙

research

∙ 04/01/2021

Improving Calibration for Long-Tailed Recognition

Deep neural networks may perform poorly when training datasets are heavi...

33 Zhisheng Zhong, et al. ∙

research

∙ 04/01/2021

Jigsaw Clustering for Unsupervised Visual Representation Learning

Unsupervised representation learning with contrastive learning achieved ...

0 Pengguang Chen, et al. ∙

research

∙ 03/25/2021

Video Instance Segmentation with a Propose-Reduce Paradigm

Video instance segmentation (VIS) aims to segment and associate all inst...

0 Huaijia Lin, et al. ∙

research

∙ 02/05/2021

Learning High Dimensional Wasserstein Geodesics

We propose a new formulation and learning strategy for computing the Was...

19 Shu Liu, et al. ∙

research

∙ 01/26/2021

ResLT: Residual Learning for Long-tailed Recognition

Deep learning algorithms face great challenges with long-tailed data dis...

1 Jiequan Cui, et al. ∙

research

∙ 11/23/2020

Learnable Boundary Guided Adversarial Training

Previous adversarial training raises model robustness under the compromi...

1 Jiequan Cui, et al. ∙

research

∙ 04/14/2020

Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph Neural Networks

Target-Based Sentiment Analysis aims to detect the opinion aspects (aspe...

0 Shu Liu, et al. ∙

research

∙ 04/03/2020

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation

Instance segmentation is an important task for scene understanding. Comp...

5 Li Jiang, et al. ∙

research

∙ 02/24/2020

3DSSD: Point-based 3D Single Stage Object Detector

Currently, there have been many kinds of voxel-based 3D single stage det...

17 Zetong Yang, et al. ∙

research

∙ 02/10/2020

Learning Stochastic Behaviour of Aggregate Data

Learning nonlinear dynamics of aggregate data is a challenging problem s...

13 Shaojun Ma, et al. ∙

research

∙ 01/10/2020

DSGN: Deep Stereo Geometry Network for 3D Object Detection

Most state-of-the-art 3D object detectors heavily rely on LiDAR sensors ...

4 Yilun Chen, et al. ∙

research

∙ 12/04/2019

EmbedMask: Embedding Coupling for One-stage Instance Segmentation

Current instance segmentation methods can be categorized into segmentati...

20 Hui Ying, et al. ∙

research

∙ 09/23/2019

Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation

We achieve 3D semantic scene labeling by exploring semantic relation bet...

0 Li Jiang, et al. ∙

research

∙ 09/09/2019

Driver Identification via the Steering Wheel

Driver identification has emerged as a vital research field, where both ...

6 Bernhard Gahr, et al. ∙

research

∙ 09/08/2019

Explicit Constructions of Two-Dimensional Reed-Solomon Codes in High Insertion and Deletion Noise Regime

Insertion and deletion (insdel for short) errors are synchronization err...

0 Shu Liu, et al. ∙

research

∙ 08/28/2019

Orthogonal Center Learning with Subspace Masking for Person Re-Identification

Person re-identification aims to identify whether pairs of images belong...

0 Weinong Wang, et al. ∙

Shu Liu

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