Thomas S. Huang
33 papers · 2011–2021 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (10) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14)
🐝
Cross-Pollinator
(14)
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(10)
🌟
Keyword Trendsetter Combo
(3)
🧬
Topic Evolution
🏆
Keyword Champion
🔥
Unstoppable
(9)
🚀
Conference Pioneer
📈
Trend Setter
💎
Century Club
(33)
⚡
Prolific Year
(9)
🗃️
Keyword Collector
(168)
Conferences
CVPR (17)
NIPS (6)
ICCV (5)
AAAI (3)
ICLR (1)
IJCAI (1)
Top co-authors
Keywords
semantic segmentation
(7)
convolutional neural network
(5)
image restoration
(4)
recurrent neural network
(4)
image super-resolution
(4)
object detection
(4)
neural network
(4)
domain adaptation
(3)
image denoising
(3)
feature pyramid
(3)
deep learning
(3)
image inpainting
(2)
unsupervised learning
(2)
generative model
(2)
person re-identification
(2)
depth estimation
(2)
object localization
(2)
sparse coding
(2)
adversarial learning
(2)
metric learning
(2)
Papers
Any-Precision Deep Neural Networks
AAAI 2021
CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation
AAAI 2021
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary
ICLR 2020
Neural Sparse Representation for Image Restoration
NIPS 2020
Scale-Wise Convolution for Image Restoration
AAAI 2020
Image Super-Resolution With Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
CVPR 2020
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
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
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis
CVPR 2020
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
CVPR 2020
Free-Form Image Inpainting With Gated Convolution
ICCV 2019
Universally Slimmable Networks and Improved Training Techniques
ICCV 2019
Towards Instance-Level Image-To-Image Translation
CVPR 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
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation
CVPR 2018
Learning Hierarchical Semantic Image Manipulation through Structured Representations
NIPS 2018
Non-Local Recurrent Network for Image Restoration
NIPS 2018
Adversarial Complementary Learning for Weakly Supervised Object Localization
CVPR 2018
Image Super-Resolution via Dual-State Recurrent Networks
CVPR 2018
Generative Image Inpainting With Contextual Attention
CVPR 2018
Doubly Sparsifying Network
IJCAI 2017
Dilated Recurrent Neural Networks
NIPS 2017
Deep Interactive Object Selection
CVPR 2016
Studying Very Low Resolution Recognition Using Deep Networks
CVPR 2016
D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images
CVPR 2016
Understanding Image Structure via Hierarchical Shape Parsing
CVPR 2015
Look and Think Twice: Capturing Top-Down Visual Attention With Feedback Convolutional Neural Networks
ICCV 2015
On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification
NIPS 2014
Learning Locally-Adaptive Decision Functions for Person Verification
CVPR 2013
Learning to Search Efficiently in High Dimensions
NIPS 2011