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...
share
research
∙
09/03/2023
ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models
Colonoscopy analysis, particularly automatic polyp segmentation and dete...
research
∙
08/08/2023
LATR: 3D Lane Detection from Monocular Images with Transformer
3D lane detection from monocular images is a fundamental yet challenging...
research
∙
07/20/2023
WeakPolyp: You Only Look Bounding Box for Polyp Segmentation
Limited by expensive pixel-level labels, polyp segmentation models are p...
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, ...
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...
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...
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...
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 ...
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...
research
∙
05/15/2023
Differential Convolutional Fuzzy Time Series Forecasting
Fuzzy time series forecasting (FTSF) is a typical forecasting method wit...
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...
research
∙
04/23/2023
Hierarchical Weight Averaging for Deep Neural Networks
Despite the simplicity, stochastic gradient descent (SGD)-like algorithm...
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...
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...
research
∙
03/17/2023
SRFormer: Permuted Self-Attention for Single Image Super-Resolution
Previous works have shown that increasing the window size for Transforme...
research
∙
01/12/2023
Adaptive Context Selection for Polyp Segmentation
Accurate polyp segmentation is of great significance for the diagnosis a...
research
∙
01/03/2023
Benchmarking the Robustness of LiDAR Semantic Segmentation Models
When using LiDAR semantic segmentation models for safety-critical applic...
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...
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...
research
∙
12/02/2022
Geometry-Aware Network for Domain Adaptive Semantic Segmentation
Measuring and alleviating the discrepancies between the synthetic (sourc...
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...
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...
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...
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...
research
∙
10/07/2022
Robust Unsupervised Cross-Lingual Word Embedding using Domain Flow Interpolation
This paper investigates an unsupervised approach towards deriving a univ...
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 ...
research
∙
09/13/2022
M^2-3DLaneNet: Multi-Modal 3D Lane Detection
Estimating accurate lane lines in 3D space remains challenging due to th...
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...
research
∙
07/21/2022
Designing An Illumination-Aware Network for Deep Image Relighting
Lighting is a determining factor in photography that affects the style, ...
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...
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 ...
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....
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...
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...
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...
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 ...
research
∙
06/01/2022
Contextual Bandits with Knapsacks for a Conversion Model
We consider contextual bandits with knapsacks, with an underlying struct...
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...
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...
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...
research
∙
04/10/2022
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Context-aware decision support in the operating room can foster surgical...
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...
research
∙
04/01/2022
Graph Enhanced Contrastive Learning for Radiology Findings Summarization
The impression section of a radiology report summarizes the most promine...
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...
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...
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 ...
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...
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...
research
∙
01/20/2022
