b'Zhen Li'

research

∙ 09/13/2023

SupFusion: Supervised LiDAR-Camera Fusion for 3D Object Detection

In this paper, we propose a novel training strategy called SupFusion, wh...

0 Yiran Qin, et al. ∙

research

∙ 09/03/2023

ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models

Colonoscopy analysis, particularly automatic polyp segmentation and dete...

0 Yuhao Du, et al. ∙

research

∙ 08/08/2023

LATR: 3D Lane Detection from Monocular Images with Transformer

3D lane detection from monocular images is a fundamental yet challenging...

0 Yueru Luo, et al. ∙

research

∙ 07/20/2023

WeakPolyp: You Only Look Bounding Box for Polyp Segmentation

Limited by expensive pixel-level labels, polyp segmentation models are p...

0 Jun Wei, et al. ∙

research

∙ 07/19/2023

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation

Modeling customer shopping intentions is a crucial task for e-commerce, ...

0 Wei Jin, et al. ∙

research

∙ 07/18/2023

Characterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs

The molten sand, a mixture of calcia, magnesia, alumina, and silicate, k...

0 Elham Kiyani, et al. ∙

research

∙ 06/06/2023

YONA: You Only Need One Adjacent Reference-frame for Accurate and Fast Video Polyp Detection

Accurate polyp detection is essential for assisting clinical rectal canc...

0 Yuncheng Jiang, et al. ∙

research

∙ 05/26/2023

SR-OOD: Out-of-Distribution Detection via Sample Repairing

It is widely reported that deep generative models can classify out-of-di...

0 Rui Sun, et al. ∙

research

∙ 05/25/2023

Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness

We consider contextual bandit problems with knapsacks [CBwK], a problem ...

0 Evgenii Chzhen, et al. ∙

research

∙ 05/23/2023

Deep Learning based Forecasting: a case study from the online fashion industry

Demand forecasting in the online fashion industry is particularly amenda...

0 Manuel Kunz, et al. ∙

research

∙ 05/15/2023

Differential Convolutional Fuzzy Time Series Forecasting

Fuzzy time series forecasting (FTSF) is a typical forecasting method wit...

0 Tianxiang Zhan, et al. ∙

research

∙ 05/06/2023

Autonomous Navigation for Robot-assisted Intraluminal and Endovascular Procedures: A Systematic Review

Increased demand for less invasive procedures has accelerated the adopti...

0 Ameya Pore, et al. ∙

research

∙ 04/23/2023

Hierarchical Weight Averaging for Deep Neural Networks

Despite the simplicity, stochastic gradient descent (SGD)-like algorithm...

0 Xiaozhe Gu, et al. ∙

research

∙ 04/19/2023

AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation

We present All-Pairs Multi-Field Transforms (AMT), a new network archite...

0 Zhen Li, et al. ∙

research

∙ 03/21/2023

An Effective Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds

3D single object tracking in LiDAR point clouds (LiDAR SOT) plays a cruc...

0 Chaoda Zheng, et al. ∙

research

∙ 03/17/2023

SRFormer: Permuted Self-Attention for Single Image Super-Resolution

Previous works have shown that increasing the window size for Transforme...

0 Yupeng Zhou, et al. ∙

research

∙ 01/12/2023

Adaptive Context Selection for Polyp Segmentation

Accurate polyp segmentation is of great significance for the diagnosis a...

19 Ruifei Zhang, et al. ∙

research

∙ 01/03/2023

Benchmarking the Robustness of LiDAR Semantic Segmentation Models

When using LiDAR semantic segmentation models for safety-critical applic...

0 Xu Yan, et al. ∙

research

∙ 12/11/2022

DOSnet as a Non-Black-Box PDE Solver: When Deep Learning Meets Operator Splitting

Deep neural networks (DNNs) recently emerged as a promising tool for ana...

0 Yuan Lan, et al. ∙

research

∙ 12/07/2022

BoxPolyp:Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations

Accurate polyp segmentation is of great importance for colorectal cancer...

0 Jun Wei, et al. ∙

research

∙ 12/02/2022

Geometry-Aware Network for Domain Adaptive Semantic Segmentation

Measuring and alleviating the discrepancies between the synthetic (sourc...

0 Yinghong Liao, et al. ∙

research

∙ 11/18/2022

Multi-view Inverse Rendering for Large-scale Real-world Indoor Scenes

We present a multi-view inverse rendering method for large-scale real-wo...

0 Zhen Li, et al. ∙

research

∙ 11/12/2022

Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning

We investigate a practical domain adaptation task, called source-free do...

0 Ziyi Zhang, et al. ∙

research

∙ 10/09/2022

Let Images Give You More:Point Cloud Cross-Modal Training for Shape Analysis

Although recent point cloud analysis achieves impressive progress, the p...

0 Xu Yan, et al. ∙

research

∙ 10/08/2022

Low Error-Rate Approximate Multiplier Design for DNNs with Hardware-Driven Co-Optimization

In this paper, two approximate 3*3 multipliers are proposed and the synt...

0 Yao Lu, et al. ∙

research

∙ 10/07/2022

Robust Unsupervised Cross-Lingual Word Embedding using Domain Flow Interpolation

This paper investigates an unsupervised approach towards deriving a univ...

0 Liping Tang, et al. ∙

research

∙ 10/04/2022

APAUNet: Axis Projection Attention UNet for Small Target in 3D Medical Segmentation

In 3D medical image segmentation, small targets segmentation is crucial ...

28 Yuncheng Jiang, et al. ∙

research

∙ 09/13/2022

M^2-3DLaneNet: Multi-Modal 3D Lane Detection

Estimating accurate lane lines in 3D space remains challenging due to th...

0 Yueru Luo, et al. ∙

research

∙ 08/01/2022

Composable Text Control Operations in Latent Space with Ordinary Differential Equations

Real-world text applications often involve composing a wide range of tex...

3 Guangyi Liu, et al. ∙

research

∙ 07/21/2022

Designing An Illumination-Aware Network for Deep Image Relighting

Lighting is a determining factor in photography that affects the style, ...

0 Zuo-Liang Zhu, et al. ∙

research

∙ 07/10/2022

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds

As camera and LiDAR sensors capture complementary information used in au...

0 Xu Yan, et al. ∙

research

∙ 07/05/2022

Toward Explainable and Fine-Grained 3D Grounding through Referring Textual Phrases

Recent progress on 3D scene understanding has explored visual grounding ...

0 Zhihao Yuan, et al. ∙

research

∙ 06/23/2022

Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency

The colorectal polyps classification is a critical clinical examination....

16 Weijie Ma, et al. ∙

research

∙ 06/21/2022

Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency

Integrating multi-modal data to improve medical image analysis has recei...

29 Jie Yang, et al. ∙

research

∙ 06/19/2022

A Unified Understanding of Deep NLP Models for Text Classification

The rapid development of deep natural language processing (NLP) models f...

0 Zhen Li, et al. ∙

research

∙ 06/16/2022

AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Despite the considerable progress in automatic abdominal multi-organ seg...

16 Yuanfeng Ji, et al. ∙

research

∙ 06/12/2022

Universality and approximation bounds for echo state networks with random weights

We study the uniform approximation of echo state networks with randomly ...

0 Zhen Li, et al. ∙

research

∙ 06/01/2022

Contextual Bandits with Knapsacks for a Conversion Model

We consider contextual bandits with knapsacks, with an underlying struct...

0 Zhen Li, et al. ∙

research

∙ 04/21/2022

6GAN: IPv6 Multi-Pattern Target Generation via Generative Adversarial Nets with Reinforcement Learning

Global IPv6 scanning has always been a challenge for researchers because...

0 Tianyu Cui, et al. ∙

research

∙ 04/20/2022

SiamHAN: IPv6 Address Correlation Attacks on TLS Encrypted Traffic via Siamese Heterogeneous Graph Attention Network

Unlike IPv4 addresses, which are typically masked by a NAT, IPv6 address...

0 Tianyu Cui, et al. ∙

research

∙ 04/12/2022

CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection

Compared with unimodal data, multimodal data can provide more features t...

0 Zhen Li, et al. ∙

research

∙ 04/10/2022

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition

Context-aware decision support in the operating room can foster surgical...

32 Chinedu Innocent Nwoye, et al. ∙

research

∙ 04/06/2022

Towards An End-to-End Framework for Flow-Guided Video Inpainting

Optical flow, which captures motion information across frames, is exploi...

5 Zhen Li, et al. ∙

research

∙ 04/01/2022

Graph Enhanced Contrastive Learning for Radiology Findings Summarization

The impression section of a radiology report summarizes the most promine...

0 Jinpeng Hu, et al. ∙

research

∙ 03/03/2022

Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds

3D single object tracking (3D SOT) in LiDAR point clouds plays a crucial...

0 Chaoda Zheng, et al. ∙

research

∙ 03/02/2022

X-Trans2Cap: Cross-Modal Knowledge Transfer using Transformer for 3D Dense Captioning

3D dense captioning aims to describe individual objects by natural langu...

0 Zhihao Yuan, et al. ∙

research

∙ 03/01/2022

Two Classes of Power Mappings with Boomerang Uniformity 2

Let q be an odd prime power. Let F_1(x)=x^d_1 and F_2(x)=x^d_2 be power ...

0 Zhen Li, et al. ∙

research

∙ 02/13/2022

ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification

Encrypted traffic classification requires discriminative and robust traf...

4 Xinjie Lin, et al. ∙

research

∙ 01/26/2022

Boomerang Spectra of Two Classes of Power Functions via Their Differential Spectra

In EUROCRYPT 2018, Cid et al. introduced a new concept on the cryptograp...

0 Ziying Zhang, et al. ∙

research

∙ 01/20/2022

HEAM: High-Efficiency Approximate Multiplier Optimization for Deep Neural Networks

We propose an optimization method for the automatic design of approximat...

0 Su Zheng, et al. ∙

Zhen Li

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