b'Ye Zhu'

research

∙ 06/14/2023

Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation

Text-to-Image (T2I) generation with diffusion models allows users to con...

0 Yongqi Yang, et al. ∙

research

∙ 05/02/2023

Ripple Knowledge Graph Convolutional Networks For Recommendation Systems

Using knowledge graphs to assist deep learning models in making recommen...

0 Chen Li, et al. ∙

research

∙ 04/04/2023

Denoising Diffusion Probabilistic Models to Predict the Density of Molecular Clouds

We introduce the state-of-the-art deep learning Denoising Diffusion Prob...

0 Duo Xu, et al. ∙

research

∙ 02/16/2023

Boundary Guided Mixing Trajectory for Semantic Control with Diffusion Models

Applying powerful generative denoising diffusion models (DDMs) for downs...

5 Ye Zhu, et al. ∙

research

∙ 12/30/2022

Detecting Change Intervals with Isolation Distributional Kernel

Detecting abrupt changes in data distribution is one of the most signifi...

0 Yang Cao, et al. ∙

research

∙ 10/19/2022

Domain generalization Person Re-identification on Attention-aware multi-operation strategery

Domain generalization person re-identification (DG Re-ID) aims to direct...

0 Yingchun Guo, et al. ∙

research

∙ 10/11/2022

Robust Human Matting via Semantic Guidance

Automatic human matting is highly desired for many real applications. We...

0 Xiangguang Chen, et al. ∙

research

∙ 10/05/2022

Vision+X: A Survey on Multimodal Learning in the Light of Data

We are perceiving and communicating with the world in a multisensory man...

1 Ye Zhu, 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

∙ 06/16/2022

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

∙ 06/15/2022

Discrete Contrastive Diffusion for Cross-Modal and Conditional Generation

Diffusion probabilistic models (DPMs) have become a popular approach to ...

28 Ye Zhu, et al. ∙

research

∙ 04/23/2022

Supplementing Missing Visions via Dialog for Scene Graph Generations

Most current AI systems rely on the premise that the input visual data a...

3 Ye Zhu, et al. ∙

research

∙ 04/01/2022

Quantized GAN for Complex Music Generation from Dance Videos

We present Dance2Music-GAN (D2M-GAN), a novel adversarial multi-modal fr...

4 Ye Zhu, et al. ∙

research

∙ 02/23/2022

Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion Network for Action Recognition

Action recognition has been a heated topic in computer vision for its wi...

1 Xiaoguang Zhu, et al. ∙

research

∙ 09/29/2021

Breaking the curse of dimensionality with Isolation Kernel

The curse of dimensionality has been studied in different aspects. Howev...

0 Kai Ming Ting, et al. ∙

research

∙ 07/24/2021

A Survey of Wearable Devices Pairing Based on Biometric Signals

With the growth of wearable devices, which are usually constrained in co...

0 Jafar Pourbemany, et al. ∙

research

∙ 07/24/2021

Breath to Pair (B2P): Respiration-Based Pairing Protocol for Wearable Devices

We propose Breath to Pair (B2P), a protocol for pairing and shared-key g...

0 Jafar Pourbemany, et al. ∙

research

∙ 06/26/2021

Saying the Unseen: Video Descriptions via Dialog Agents

Current vision and language tasks usually take complete visual data (e.g...

0 Ye Zhu, et al. ∙

research

∙ 06/04/2021

Real Time Video based Heart and Respiration Rate Monitoring

In recent years, research about monitoring vital signs by smartphones gr...

0 Jafar Pourbemany, et al. ∙

research

∙ 02/05/2021

Learning Audio-Visual Correlations from Variational Cross-Modal Generation

People can easily imagine the potential sound while seeing an event. Thi...

0 Ye Zhu, et al. ∙

research

∙ 10/12/2020

The Impact of Isolation Kernel on Agglomerative Hierarchical Clustering Algorithms

Agglomerative hierarchical clustering (AHC) is one of the popular cluste...

0 Xin Han, et al. ∙

research

∙ 08/18/2020

Hierarchical HMM for Eye Movement Classification

In this work, we tackle the problem of ternary eye movement classificati...

0 Ye Zhu, et al. ∙

research

∙ 08/18/2020

Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents

With the arising concerns for the AI systems provided with direct access...

0 Ye Zhu, et al. ∙

research

∙ 02/14/2020

Clustering based on Point-Set Kernel

Measuring similarity between two objects is the core operation in existi...

0 Kai Ming Ting, et al. ∙

research

∙ 06/30/2019

Nearest-Neighbour-Induced Isolation Similarity and its Impact on Density-Based Clustering

A recent proposal of data dependent similarity called Isolation Kernel/S...

0 Xiaoyu Qin, et al. ∙

research

∙ 06/24/2019

Improving Stochastic Neighbour Embedding fundamentally with a well-defined data-dependent kernel

We identify a fundamental issue in the popular Stochastic Neighbour Embe...

0 Ye Zhu, et al. ∙

research

∙ 05/17/2019

High Throughput Push Based Storage Manager

The storage manager, as a key component of the database system, is respo...

0 Ye Zhu, et al. ∙

research

∙ 12/05/2018

A Technical Survey on Statistical Modelling and Design Methods for Crowdsourcing Quality Control

Online crowdsourcing provides a scalable and inexpensive means to collec...

0 Yuan Jin, et al. ∙

research

∙ 11/30/2018

Multiview Based 3D Scene Understanding On Partial Point Sets

Deep learning within the context of point clouds has gained much researc...

0 Ye Zhu, et al. ∙

research

∙ 10/08/2018

Hierarchical clustering that takes advantage of both density-peak and density-connectivity

This paper focuses on density-based clustering, particularly the Density...

0 Ye Zhu, et al. ∙

research

∙ 10/05/2018

CDF Transform-Shift: An effective way to deal with inhomogeneous density datasets

Many distance-based algorithms exhibit bias towards dense clusters in in...

0 Ye Zhu, et al. ∙

research

∙ 02/12/2018

Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing

The questions in a crowdsourcing task typically exhibit varying degrees ...

0 Yuan Jin, et al. ∙

research

∙ 01/27/2016

Revisiting copy-move forgery detection by considering realistic image with similar but genuine objects

Many images, of natural or man-made scenes often contain Similar but Gen...

0 Ye Zhu, et al. ∙

Ye Zhu

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