b'Tao Hu'

research

∙ 09/09/2023

Timely Fusion of Surround Radar/Lidar for Object Detection in Autonomous Driving Systems

Fusing Radar and Lidar sensor data can fully utilize their complementary...

0 Wenjing Xie, et al. ∙

research

∙ 08/23/2023

Enhancing cardiovascular risk prediction through AI-enabled calcium-omics

Background. Coronary artery calcium (CAC) is a powerful predictor of maj...

0 Ammar Hoori, et al. ∙

research

∙ 08/18/2023

HumanLiff: Layer-wise 3D Human Generation with Diffusion Model

3D human generation from 2D images has achieved remarkable progress thro...

0 Shoukang Hu, et al. ∙

research

∙ 06/27/2023

Cardiac CT perfusion imaging of pericoronary adipose tissue (PCAT) highlights potential confounds in coronary CTA

Features of pericoronary adipose tissue (PCAT) assessed from coronary co...

0 Hao Wu, et al. ∙

research

∙ 04/22/2023

Self-supervised Learning by View Synthesis

We present view-synthesis autoencoders (VSA) in this paper, which is a s...

4 Shaoteng Liu, et al. ∙

research

∙ 03/29/2023

TriVol: Point Cloud Rendering via Triple Volumes

Existing learning-based methods for point cloud rendering adopt various ...

0 Tao Hu, 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

∙ 03/20/2023

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

∙ 03/13/2023

NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer

Neural radiance fields (NeRF) show great success in novel view synthesis...

1 Kun Zhou, 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

∙ 04/20/2022

Human-Object Interaction Detection via Disentangled Transformer

Human-Object Interaction Detection tackles the problem of joint localiza...

0 Desen Zhou, et al. ∙

research

∙ 04/06/2022

MixFormer: Mixing Features across Windows and Dimensions

While local-window self-attention performs notably in vision tasks, it s...

9 Qiang Chen, et al. ∙

research

∙ 12/19/2021

HVTR: Hybrid Volumetric-Textural Rendering for Human Avatars

We propose a novel neural rendering pipeline, Hybrid Volumetric-Textural...

0 Tao Hu, et al. ∙

research

∙ 12/07/2021

GaTector: A Unified Framework for Gaze Object Prediction

Gaze object prediction (GOP) is a newly proposed task that aims to disco...

0 Binglu Wang, et al. ∙

research

∙ 11/24/2021

EgoRenderer: Rendering Human Avatars from Egocentric Camera Images

We present EgoRenderer, a system for rendering full-body neural avatars ...

6 Tao Hu, et al. ∙

research

∙ 07/28/2021

CRD-CGAN: Category-Consistent and Relativistic Constraints for Diverse Text-to-Image Generation

Generating photo-realistic images from a text description is a challengi...

7 Tao Hu, et al. ∙

research

∙ 04/11/2021

ODT FLOW: A Scalable Platform for Extracting, Analyzing, and Sharing Multi-source Multi-scale Human Mobility

In response to the soaring needs of human mobility data, especially duri...

0 Zhenlong Li, et al. ∙

research

∙ 03/04/2020

Multi-object Tracking via End-to-end Tracklet Searching and Ranking

Recent works in multiple object tracking use sequence model to calculate...

0 Tao Hu, et al. ∙

research

∙ 12/22/2019

Learning to Generate Dense Point Clouds with Textures on Multiple Categories

3D reconstruction from images is a core problem in computer vision. With...

21 Tao Hu, et al. ∙

research

∙ 11/28/2019

3D Shape Completion with Multi-view Consistent Inference

3D shape completion is important to enable machines to perceive the comp...

19 Tao Hu, et al. ∙

research

∙ 09/27/2019

A Radio Signal Modulation Recognition Algorithm Based on Residual Networks and Attention Mechanisms

To solve the problem of inaccurate recognition of types of communication...

18 Ruisen Luo, et al. ∙

research

∙ 08/02/2019

Real Time Visual Tracking using Spatial-Aware Temporal Aggregation Network

More powerful feature representations derived from deep neural networks ...

6 Tao Hu, et al. ∙

research

∙ 07/26/2019

VITAL: A Visual Interpretation on Text with Adversarial Learning for Image Labeling

In this paper, we propose a novel way to interpret text information by e...

7 Tao Hu, et al. ∙

research

∙ 05/12/2019

Note on Thompson sampling for large decision problems

There is increasing interest in using streaming data to inform decision ...

0 Tao Hu, et al. ∙

research

∙ 04/17/2019

Render4Completion: Synthesizing Multi-view Depth Maps for 3D Shape Completion

We propose a novel approach for 3D shape completion by synthesizing mult...

0 Tao Hu, et al. ∙

research

∙ 01/26/2019

See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification

Data augmentation is usually adopted to increase the amount of training ...

0 Tao Hu, et al. ∙

research

∙ 08/06/2018

Weakly Supervised Local Attention Network for Fine-Grained Visual Classification

In the fine-grained visual classification task, objects usually share si...

0 Tao Hu, et al. ∙

research

∙ 03/18/2018

Facial Landmarks Detection by Self-Iterative Regression based Landmarks-Attention Network

Cascaded Regression (CR) based methods have been proposed to solve facia...

0 Tao Hu, et al. ∙

research

∙ 11/23/2017

EASM: Efficiency-Aware Switch Migration for Balancing Controller Loads in Software-Defined Networking

Distributed multi-controller deployment is a promising method to achieve...

0 Tao Hu, et al. ∙

research

∙ 03/02/2015

A Hebbian/Anti-Hebbian Network for Online Sparse Dictionary Learning Derived from Symmetric Matrix Factorization

Olshausen and Field (OF) proposed that neural computations in the primar...

0 Tao Hu, et al. ∙

research

∙ 03/02/2015

A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data

Neural network models of early sensory processing typically reduce the d...

0 Cengiz Pehlevan, et al. ∙

research

∙ 05/12/2014

A Neuron as a Signal Processing Device

A neuron is a basic physiological and computational unit of the brain. W...

0 Tao Hu, et al. ∙

research

∙ 10/13/2012

Online computation of sparse representations of time varying stimuli using a biologically motivated neural network

Natural stimuli are highly redundant, possessing significant spatial and...

0 Tao Hu, et al. ∙

research

∙ 10/04/2012

A network of spiking neurons for computing sparse representations in an energy efficient way

Computing sparse redundant representations is an important problem both ...

0 Tao Hu, et al. ∙

research

∙ 10/01/2012

Super-resolution using Sparse Representations over Learned Dictionaries: Reconstruction of Brain Structure using Electron Microscopy

A central problem in neuroscience is reconstructing neuronal circuits on...

0 Tao Hu, et al. ∙

research

∙ 10/01/2012

Sparse LMS via Online Linearized Bregman Iteration

We propose a version of least-mean-square (LMS) algorithm for sparse sys...

0 Tao Hu, et al. ∙

Tao Hu

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