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

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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