b'Thomas Huang'

research

∙ 04/14/2021

Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction

Learning to predict the long-term future of video frames is notoriously ...

Wonkwang Lee, et al. ∙

research

∙ 08/19/2020

Inner Cell Mass and Trophectoderm Segmentation in Human Blastocyst Images using Deep Neural Network

Embryo quality assessment based on morphological attributes is important...

Md Yousuf Harun, et al. ∙

research

∙ 08/19/2020

Image Segmentation of Zona-Ablated Human Blastocysts

Automating human preimplantation embryo grading offers the potential for...

Md Yousuf Harun, et al. ∙

research

∙ 05/08/2020

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results

This paper reviews the NTIRE 2020 challenge on real image denoising with...

Abdelrahman Abdelhamed, et al. ∙

research

∙ 03/24/2020

BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models

Neural architecture search (NAS) has shown promising results discovering...

Jiahui Yu, et al. ∙

research

∙ 03/10/2020

FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation

Motion estimation of cardiac MRI videos is crucial for the evaluation of...

Hanchao Yu, et al. ∙

research

∙ 11/21/2019

FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation Synthesis

Talking face synthesis has been widely studied in either appearance-base...

Kuangxiao Gu, et al. ∙

research

∙ 09/20/2019

SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems

Developing object detection and tracking on resource-constrained embedde...

Xiaofan Zhang, et al. ∙

research

∙ 08/26/2019

SPGNet: Semantic Prediction Guidance for Scene Parsing

Multi-scale context module and single-stage encoder-decoder structure ar...

Bowen Cheng, et al. ∙

research

∙ 05/07/2019

High Frequency Residual Learning for Multi-Scale Image Classification

We present a novel high frequency residual learning framework, which lea...

Bowen Cheng, et al. ∙

research

∙ 05/05/2019

Towards Instance-level Image-to-Image Translation

Unpaired Image-to-image Translation is a new rising and challenging visi...

Zhiqiang Shen, et al. ∙

research

∙ 04/06/2019

When AWGN-based Denoiser Meets Real Noises

Discriminative learning based image denoisers have achieved promising pe...

Yuqian Zhou, et al. ∙

research

∙ 03/27/2019

Network Slimming by Slimmable Networks: Towards One-Shot Architecture Search for Channel Numbers

We study how to set channel numbers in a neural network to achieve bette...

Jiahui Yu, et al. ∙

research

∙ 03/12/2019

Universally Slimmable Networks and Improved Training Techniques

Slimmable networks are a family of neural networks that can instantly ad...

Jiahui Yu, et al. ∙

research

∙ 12/21/2018

Slimmable Neural Networks

We present a simple and general method to train a single neural network ...

Jiahui Yu, et al. ∙

research

∙ 11/26/2018

One Shot Domain Adaptation for Person Re-Identification

How to effectively address the domain adaptation problem is a challengin...

Yang Fu, et al. ∙

research

∙ 11/09/2018

STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification

In this work, we propose a novel Spatial-Temporal Attention (STA) approa...

Yang Fu, et al. ∙

research

∙ 11/06/2018

Weakly Supervised Scene Parsing with Point-based Distance Metric Learning

Semantic scene parsing is suffering from the fact that pixel-level annot...

Rui Qian, et al. ∙

research

∙ 10/22/2018

SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation

One-shot semantic segmentation poses a challenging task of recognizing t...

Xiaolin Zhang, et al. ∙

research

∙ 10/05/2018

Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection

In this paper, we analyze failure cases of state-of-the-art detectors an...

Bowen Cheng, et al. ∙

research

∙ 09/17/2018

Devil in the Details: Towards Accurate Single and Multiple Human Parsing

Human parsing has received considerable interest due to its wide applica...

Ting Liu, et al. ∙

research

∙ 09/06/2018

YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark

Learning long-term spatial-temporal features are critical for many video...

Ning Xu, et al. ∙

research

∙ 09/03/2018

YouTube-VOS: Sequence-to-Sequence Video Object Segmentation

Learning long-term spatial-temporal features are critical for many video...

Ning Xu, et al. ∙

research

∙ 08/27/2018

Wide Activation for Efficient and Accurate Image Super-Resolution

In this report we demonstrate that with same parameters and computationa...

Jiahui Yu, et al. ∙

research

∙ 08/22/2018

Learning Hierarchical Semantic Image Manipulation through Structured Representations

Understanding, reasoning, and manipulating semantic concepts of images h...

Seunghoon Hong, et al. ∙

research

∙ 07/24/2018

Self-produced Guidance for Weakly-supervised Object Localization

Weakly supervised methods usually generate localization results based on...

Xiaolin Zhang, et al. ∙

research

∙ 07/13/2018

TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection

This work provides a simple approach to discover tight object bounding b...

Yunchao Wei, et al. ∙

research

∙ 04/19/2018

Survey of Face Detection on Low-quality Images

Face detection is a well-explored problem. Many challenges on face detec...

Yuqian Zhou, et al. ∙

research

∙ 04/19/2018

Unsupervised Representation Adversarial Learning Network: from Reconstruction to Generation

A good representation for arbitrarily complicated data should have the c...

Yuqian Zhou, et al. ∙

research

∙ 04/19/2018

Adversarial Complementary Learning for Weakly Supervised Object Localization

In this work, we propose Adversarial Complementary Learning (ACoL) to au...

Xiaolin Zhang, et al. ∙

research

∙ 04/14/2018

Horizontal Pyramid Matching for Person Re-identification

Despite the remarkable recent progress, person Re-identification (Re-ID)...

Yang Fu, et al. ∙

research

∙ 03/19/2018

Revisiting RCNN: On Awakening the Classification Power of Faster RCNN

Recent region-based object detectors are usually built with separate cla...

Bowen Cheng, et al. ∙

research

∙ 07/02/2017

Deep GrabCut for Object Selection

Most previous bounding-box-based segmentation methods assume the boundin...

Ning Xu, et al. ∙

research

∙ 03/22/2017

Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes

In this paper, we present a label transfer model from texts to images fo...

Guo-Jun Qi, et al. ∙

research

∙ 03/10/2017

Deep Image Matting

Image matting is a fundamental computer vision problem and has many appl...

Ning Xu, et al. ∙

research

∙ 01/03/2017

Learning a Mixture of Deep Networks for Single Image Super-Resolution

Single image super-resolution (SR) is an ill-posed problem which aims to...

Ding Liu, et al. ∙

research

∙ 08/04/2016

UnitBox: An Advanced Object Detection Network

In present object detection systems, the deep convolutional neural netwo...

Jiahui Yu, et al. ∙

research

∙ 03/13/2016

Deep Interactive Object Selection

Interactive object selection is a very important research problem and ha...

Ning Xu, et al. ∙

research

∙ 07/31/2015

Deep Networks for Image Super-Resolution with Sparse Prior

Deep learning techniques have been successfully applied in many areas of...

Zhaowen Wang, et al. ∙

research

∙ 04/24/2014

Scalable Similarity Learning using Large Margin Neighborhood Embedding

Classifying large-scale image data into object categories is an importan...

Zhaowen Wang, et al. ∙

research

∙ 12/21/2013

GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training

The ability to train large-scale neural networks has resulted in state-o...

Thomas Paine, et al. ∙

Thomas Huang

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