Thomas Huang

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University of Michigan ∙ University of Illinois at Urbana-Champaign

Professor at University of Illinois at Urbana-Champaign, Leader of The Image Formation and Processing (IFP) group, Beckman Institute for Advanced Science and Technology

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

Embryo quality assessment based on morphological attributes is important...
08/19/2020 ∙ by Md Yousuf Harun, et al. ∙ 5 ∙ share

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Image Segmentation of Zona-Ablated Human Blastocysts

Automating human preimplantation embryo grading offers the potential for...
08/19/2020 ∙ by Md Yousuf Harun, et al. ∙ 5 ∙ share

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

This paper reviews the NTIRE 2020 challenge on real image denoising with...
05/08/2020 ∙ by Abdelrahman Abdelhamed, et al. ∙ 25 ∙ share

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

Neural architecture search (NAS) has shown promising results discovering...
03/24/2020 ∙ by Jiahui Yu, et al. ∙ 6 ∙ share

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FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation

Motion estimation of cardiac MRI videos is crucial for the evaluation of...
03/10/2020 ∙ by Hanchao Yu, et al. ∙ 12 ∙ share

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

Talking face synthesis has been widely studied in either appearance-base...
11/21/2019 ∙ by Kuangxiao Gu, et al. ∙ 2 ∙ share

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

Developing object detection and tracking on resource-constrained embedde...
09/20/2019 ∙ by Xiaofan Zhang, et al. ∙ 41 ∙ share

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SPGNet: Semantic Prediction Guidance for Scene Parsing

Multi-scale context module and single-stage encoder-decoder structure ar...
08/26/2019 ∙ by Bowen Cheng, et al. ∙ 16 ∙ share

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High Frequency Residual Learning for Multi-Scale Image Classification

We present a novel high frequency residual learning framework, which lea...
05/07/2019 ∙ by Bowen Cheng, et al. ∙ 10 ∙ share

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Towards Instance-level Image-to-Image Translation

Unpaired Image-to-image Translation is a new rising and challenging visi...
05/05/2019 ∙ by Zhiqiang Shen, et al. ∙ 8 ∙ share

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When AWGN-based Denoiser Meets Real Noises

Discriminative learning based image denoisers have achieved promising pe...
04/06/2019 ∙ by Yuqian Zhou, et al. ∙ 20 ∙ share

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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...
03/27/2019 ∙ by Jiahui Yu, et al. ∙ 2 ∙ share

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Universally Slimmable Networks and Improved Training Techniques

Slimmable networks are a family of neural networks that can instantly ad...
03/12/2019 ∙ by Jiahui Yu, et al. ∙ 6 ∙ share

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Slimmable Neural Networks

We present a simple and general method to train a single neural network ...
12/21/2018 ∙ by Jiahui Yu, et al. ∙ 16 ∙ share

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One Shot Domain Adaptation for Person Re-Identification

How to effectively address the domain adaptation problem is a challengin...
11/26/2018 ∙ by Yang Fu, et al. ∙ 0 ∙ share

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

In this work, we propose a novel Spatial-Temporal Attention (STA) approa...
11/09/2018 ∙ by Yang Fu, et al. ∙ 0 ∙ share

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Weakly Supervised Scene Parsing with Point-based Distance Metric Learning

Semantic scene parsing is suffering from the fact that pixel-level annot...
11/06/2018 ∙ by Rui Qian, et al. ∙ 4 ∙ share

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

One-shot semantic segmentation poses a challenging task of recognizing t...
10/22/2018 ∙ by Xiaolin Zhang, et al. ∙ 46 ∙ share

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Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection

In this paper, we analyze failure cases of state-of-the-art detectors an...
10/05/2018 ∙ by Bowen Cheng, et al. ∙ 4 ∙ share

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

Human parsing has received considerable interest due to its wide applica...
09/17/2018 ∙ by Ting Liu, et al. ∙ 8 ∙ share

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

Learning long-term spatial-temporal features are critical for many video...
09/06/2018 ∙ by Ning Xu, et al. ∙ 0 ∙ share

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

Learning long-term spatial-temporal features are critical for many video...
09/03/2018 ∙ by Ning Xu, et al. ∙ 0 ∙ share

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Wide Activation for Efficient and Accurate Image Super-Resolution

In this report we demonstrate that with same parameters and computationa...
08/27/2018 ∙ by Jiahui Yu, et al. ∙ 0 ∙ share

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Learning Hierarchical Semantic Image Manipulation through Structured Representations

Understanding, reasoning, and manipulating semantic concepts of images h...
08/22/2018 ∙ by Seunghoon Hong, et al. ∙ 2 ∙ share

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Self-produced Guidance for Weakly-supervised Object Localization

Weakly supervised methods usually generate localization results based on...
07/24/2018 ∙ by Xiaolin Zhang, et al. ∙ 4 ∙ share

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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...
07/13/2018 ∙ by Yunchao Wei, et al. ∙ 10 ∙ share

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Survey of Face Detection on Low-quality Images

Face detection is a well-explored problem. Many challenges on face detec...
04/19/2018 ∙ by Yuqian Zhou, et al. ∙ 0 ∙ share

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Unsupervised Representation Adversarial Learning Network: from Reconstruction to Generation

A good representation for arbitrarily complicated data should have the c...
04/19/2018 ∙ by Yuqian Zhou, et al. ∙ 0 ∙ share

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Adversarial Complementary Learning for Weakly Supervised Object Localization

In this work, we propose Adversarial Complementary Learning (ACoL) to au...
04/19/2018 ∙ by Xiaolin Zhang, et al. ∙ 0 ∙ share

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Horizontal Pyramid Matching for Person Re-identification

Despite the remarkable recent progress, person Re-identification (Re-ID)...
04/14/2018 ∙ by Yang Fu, et al. ∙ 0 ∙ share

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Revisiting RCNN: On Awakening the Classification Power of Faster RCNN

Recent region-based object detectors are usually built with separate cla...
03/19/2018 ∙ by Bowen Cheng, et al. ∙ 0 ∙ share

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Deep GrabCut for Object Selection

Most previous bounding-box-based segmentation methods assume the boundin...
07/02/2017 ∙ by Ning Xu, et al. ∙ 0 ∙ share

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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...
03/22/2017 ∙ by Guo-Jun Qi, et al. ∙ 0 ∙ share

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Deep Image Matting

Image matting is a fundamental computer vision problem and has many appl...
03/10/2017 ∙ by Ning Xu, et al. ∙ 0 ∙ share

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

Single image super-resolution (SR) is an ill-posed problem which aims to...
01/03/2017 ∙ by Ding Liu, et al. ∙ 0 ∙ share

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UnitBox: An Advanced Object Detection Network

In present object detection systems, the deep convolutional neural netwo...
08/04/2016 ∙ by Jiahui Yu, et al. ∙ 0 ∙ share

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Deep Interactive Object Selection

Interactive object selection is a very important research problem and ha...
03/13/2016 ∙ by Ning Xu, et al. ∙ 0 ∙ share

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Deep Networks for Image Super-Resolution with Sparse Prior

Deep learning techniques have been successfully applied in many areas of...
07/31/2015 ∙ by Zhaowen Wang, et al. ∙ 0 ∙ share

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Scalable Similarity Learning using Large Margin Neighborhood Embedding

Classifying large-scale image data into object categories is an importan...
04/24/2014 ∙ by Zhaowen Wang, et al. ∙ 0 ∙ share

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GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training

The ability to train large-scale neural networks has resulted in state-o...
12/21/2013 ∙ by Thomas Paine, et al. ∙ 0 ∙ share

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Thomas Huang

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