Search Results for author: Huidong Liu

Found 13 papers, 6 papers with code

Token Sparsification for Faster Medical Image Segmentation

1 code implementation11 Mar 2023 Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna

To this end, we reformulate segmentation as a sparse encoding -> token completion -> dense decoding (SCD) pipeline.

Image Segmentation Medical Image Segmentation +2

Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation

1 code implementation10 Mar 2022 Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna

Masked Autoencoder (MAE) has recently been shown to be effective in pre-training Vision Transformers (ViT) for natural image analysis.

Brain Tumor Segmentation Image Classification +5

CMA-CLIP: Cross-Modality Attention CLIP for Image-Text Classification

no code implementations7 Dec 2021 Huidong Liu, Shaoyuan Xu, Jinmiao Fu, Yang Liu, Ning Xie, Chien-Chih Wang, Bryan Wang, Yi Sun

In this paper, we propose the Cross-Modality Attention Contrastive Language-Image Pre-training (CMA-CLIP), a new framework which unifies two types of cross-modality attentions, sequence-wise attention and modality-wise attention, to effectively fuse information from image and text pairs.

Attribute Image-text Classification +3

Efficient Semi-Discrete Optimal Transport Using the Maximum Relative Error between Distributions

no code implementations29 Sep 2021 Huidong Liu, Ke Ma, Lei Zhou, Dimitris Samaras

If the \texttt{MRE} is smaller than 1, then every target point is guaranteed to have an area in the source distribution that is mapped to it.

Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach

1 code implementation9 Feb 2021 Yikai Zhang, Hui Qu, Qi Chang, Huidong Liu, Dimitris Metaxas, Chao Chen

A federatedGAN jointly trains a centralized generator and multiple private discriminators hosted at different sites.

Federated Learning

Distribution Matching for Crowd Counting

1 code implementation NeurIPS 2020 Boyu Wang, Huidong Liu, Dimitris Samaras, Minh Hoai

Existing crowd counting methods need to use a Gaussian to smooth each annotated dot or to estimate the likelihood of every pixel given the annotated point.

Crowd Counting

Wasserstein GAN With Quadratic Transport Cost

no code implementations ICCV 2019 Huidong Liu, Xianfeng Gu, Dimitris Samaras

Based on the quadratic transport cost, we propose an Optimal Transport Regularizer (OTR) to stabilize the training process of WGAN-QC.

Latent Space Optimal Transport for Generative Models

no code implementations16 Sep 2018 Huidong Liu, Yang Guo, Na lei, Zhixin Shu, Shing-Tung Yau, Dimitris Samaras, Xianfeng GU

Experimental results on an eight-Gaussian dataset show that the proposed OT can handle multi-cluster distributions.

A Two-Step Computation of the Exact GAN Wasserstein Distance

no code implementations ICML 2018 Huidong Liu, Xianfeng GU, Dimitris Samaras

In this paper, we propose a two-step method to compute the Wasserstein distance in Wasserstein Generative Adversarial Networks (WGANs): 1) The convex part of our objective can be solved by linear programming; 2) The non-convex residual can be approximated by a deep neural network.

Vocal Bursts Valence Prediction

Implementation of Stochastic Quasi-Newton's Method in PyTorch

1 code implementation7 May 2018 Yingkai Li, Huidong Liu

In this paper, we implement the Stochastic Damped LBFGS (SdLBFGS) for stochastic non-convex optimization.

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