Sen He | DeepAI

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∙ 03/30/2023

Learning Garment DensePose for Robust Warping in Virtual Try-On

Virtual try-on, i.e making people virtually try new garments, is an acti...

0 Aiyu Cui, et al. ∙

∙ 01/06/2023

Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation

Talking face generation has historically struggled to produce head movem...

0 Michał Stypułkowski, et al. ∙

∙ 11/19/2022

Single Stage Multi-Pose Virtual Try-On

Multi-pose virtual try-on (MPVTON) aims to fit a target garment onto a p...

0 Sen He, et al. ∙

∙ 10/15/2022

Prediction Calibration for Generalized Few-shot Semantic Segmentation

Generalized Few-shot Semantic Segmentation (GFSS) aims to segment each i...

6 Zhihe Lu, et al. ∙

∙ 04/06/2022

UIGR: Unified Interactive Garment Retrieval

Interactive garment retrieval (IGR) aims to retrieve a target garment im...

13 Xiao Han, et al. ∙

∙ 04/03/2022

Style-Based Global Appearance Flow for Virtual Try-On

Image-based virtual try-on aims to fit an in-shop garment into a clothed...

10 Sen He, et al. ∙

∙ 12/13/2021

Hybrid Graph Neural Networks for Few-Shot Learning

Graph neural networks (GNNs) have been used to tackle the few-shot learn...

0 Tianyuan Yu, et al. ∙

∙ 10/20/2021

Text-Based Person Search with Limited Data

Text-based person search (TBPS) aims at retrieving a target person from ...

9 Xiao Han, et al. ∙

∙ 08/06/2021

Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer

A few-shot semantic segmentation model is typically composed of a CNN en...

5 Zhihe Lu, et al. ∙

∙ 08/05/2021

Disentangled Lifespan Face Synthesis

A lifespan face synthesis (LFS) model aims to generate a set of photo-re...

17 Sen He, et al. ∙

∙ 03/22/2021

Context-Aware Layout to Image Generation with Enhanced Object Appearance

A layout to image (L2I) generation model aims to generate a complicated ...

0 Sen He, et al. ∙

∙ 06/23/2020

A Benchmarking Framework for Interactive 3D Applications in the Cloud

With the growing popularity of cloud gaming and cloud virtual reality (V...

0 Tianyi Liu, et al. ∙

∙ 04/29/2020

Image Captioning through Image Transformer

Automatic captioning of images is a task that combines the challenges of...

11 Sen He, et al. ∙

∙ 03/06/2019

Understanding and Visualizing Deep Visual Saliency Models

Recently, data-driven deep saliency models have achieved high performanc...

0 Sen He, et al. ∙

∙ 03/06/2019

A Synchronized Multi-Modal Attention-Caption Dataset and Analysis

In this work, we present a novel multi-modal dataset consisting of eye m...

0 Sen He, et al. ∙

∙ 03/15/2018

Aggregated Sparse Attention for Steering Angle Prediction

In this paper, we apply the attention mechanism to autonomous driving fo...

0 Sen He, et al. ∙

∙ 03/15/2018

Salient Region Segmentation

Saliency prediction is a well studied problem in computer vision. Early ...

0 Sen He, et al. ∙

∙ 03/15/2018

What Catches the Eye? Visualizing and Understanding Deep Saliency Models

Deep convolutional neural networks have demonstrated high performances f...

0 Sen He, et al. ∙

∙ 01/12/2018

Deep saliency: What is learnt by a deep network about saliency?

Deep convolutional neural networks have achieved impressive performance ...

0 Sen He, et al. ∙

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