Thomas S. Huang
33 papers · 2011–2021 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (67) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Pioneer
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Topic Evolution
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Keyword Trendsetter Combo
(3)
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Century Club Β· Bronze
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Unstoppable Β· Bronze
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Conference Pioneer
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Prolific Year Β· Productive
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Renaissance Researcher
(5)
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Keyword Collector
(177)
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Research topics
Computer Vision
(25)
Deep Learning
(20)
Machine Learning
(18)
Analysis
(14)
Processing
(12)
Learning Types Β· Deep Learning
(10)
Application Areas
(8)
Architectures
(7)
Learning Types Β· Machine Learning
(7)
Core Methods
(6)
Optimization & Theory
(5)
Techniques
(5)
Artificial Intelligence
(4)
Core AI
(4)
Models
(4)
Keywords
semantic segmentation
(7)
convolutional neural network
(6)
recurrent neural network
(4)
neural network
(4)
image super-resolution
(4)
object detection
(4)
image restoration
(4)
image denoising
(3)
deep learning
(3)
domain adaptation
(3)
feature pyramid
(3)
image inpainting
(2)
unsupervised learning
(2)
adversarial learning
(2)
generative model
(2)
metric learning
(2)
weakly supervised learning
(2)
depth estimation
(2)
person re-identification
(2)
sparse representation
(2)
Papers
Any-Precision Deep Neural Networks
AAAI 2021
CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation
AAAI 2021
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis
CVPR 2020
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
CVPR 2020
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation
CVPR 2020
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary
ICLR 2020
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
CVPR 2020
Image Super-Resolution With Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
CVPR 2020
Neural Sparse Representation for Image Restoration
NeurIPS 2020
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
CVPR 2020
Scale-Wise Convolution for Image Restoration
AAAI 2020
Free-Form Image Inpainting With Gated Convolution
ICCV 2019
Geometry-Aware Distillation for Indoor Semantic Segmentation
CVPR 2019
Self-Similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-Identification
ICCV 2019
SPGNet: Semantic Prediction Guidance for Scene Parsing
ICCV 2019
Towards Instance-Level Image-To-Image Translation
CVPR 2019
Universally Slimmable Networks and Improved Training Techniques
ICCV 2019
Adversarial Complementary Learning for Weakly Supervised Object Localization
CVPR 2018
Generative Image Inpainting With Contextual Attention
CVPR 2018
Image Super-Resolution via Dual-State Recurrent Networks
CVPR 2018
Learning Hierarchical Semantic Image Manipulation through Structured Representations
NeurIPS 2018
Non-Local Recurrent Network for Image Restoration
NeurIPS 2018
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation
CVPR 2018
Dilated Recurrent Neural Networks
NeurIPS 2017
Doubly Sparsifying Network
IJCAI 2017
D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images
CVPR 2016
Deep Interactive Object Selection
CVPR 2016
Studying Very Low Resolution Recognition Using Deep Networks
CVPR 2016
Look and Think Twice: Capturing Top-Down Visual Attention With Feedback Convolutional Neural Networks
ICCV 2015
Understanding Image Structure via Hierarchical Shape Parsing
CVPR 2015
On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification
NeurIPS 2014
Learning Locally-Adaptive Decision Functions for Person Verification
CVPR 2013
Learning to Search Efficiently in High Dimensions
NeurIPS 2011