Publications

Journal Publications

Learning the Relative Importance of Objects from Tagged Images for Retrieval and Cross-Modal Search 
Sung Ju Hwang and Kristen Grauman, International Journal of Computer Vision (IJCV), November 2012
[paper] [codes&data]

Reading Between the Lines: Object Localization Using Implicit Cues from Image Tags
Sung Ju Hwang and Kristen Grauman, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), June 2012
[paper]

 

Conference Publications

SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization
Juyong Kim, Yookoon Park, Gunhee Kim and Sung Ju Hwang, ICML 2017
[paper] [codes]

Combined Group and Exclusive Sparsity for Deep Neural Networks
Jaehong Yoon and Sung Ju Hwang, ICML 2017
[paper] [codes]

Taxonomy-Regularized Semantic Deep Convolutional Neural Networks
Wonjoon Goo, Juyong Kim, Gunhee Kim and Sung Ju Hwang, ECCV 2016
[paper] [codes]

Asymmetric Multi-task Learning Based on Task Relatedness and Loss
Giwoong Lee, Eunho Yang and Sung Ju Hwang, ICML 2016
[paper] [codes]

Knowledge Transfer with Interactive Learning of Semantic Relationships
Jonghyun Choi, Sung Ju Hwang, Leonid Sigal, and Larry S. Davis, AAAI 2016 (oral presentation)
[paper]

Exploiting View-Specific Appearance Similarities Across Classes for Zero-shot Pose Prediction: A Metric Learning Approach
Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, and Leonid Sigal, AAAI 2016
[paper]

Expanding Object Detector’s Horizon: Incremental Learning Framework for Object Detection in Videos
Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, and Leonid Sigal, CVPR 2015
[paper]

A Unified Semantic Embedding: Relating Taxonomies with Attributes
Sung Ju Hwang and Leonid Sigal, NIPS 2014
[paper]

Analogy-preserving Semantic Embedding for Visual Object Categorization
Sung Ju Hwang, Kristen Grauman and Fei Sha, ICML 2013
[paper]

Semantic Kernel Forests from Multiple Taxonomies
Sung Ju Hwang, Kristen Grauman and Fei Sha, NIPS 2012
[paper]

Context-Based Automatic Local Image Enhancement
Sung Ju Hwang, Ashish Kapoor, and Sing Bing Kang, ECCV 2012
[paper]

Learning a Tree of Metrics with Disjoint Visual Features
Sung Ju Hwang, Kristen Grauman, and Fei Sha, NIPS 2011
[paper] [codes]

Sharing Features Between Objects and Their Attributes
Sung Ju Hwang, Fei Sha and Kristen Grauman, CVPR 2011
[paper]

Accounting for the Relative Importance of Objects in Image Retrieval
Sung Ju Hwang and Kristen Grauman, BMVC 2010 (oral presentation)
[paper] [codes&data]

Reading Between The Lines: Object Localization Using Implicit Cues from Image Tags
Sung Ju Hwang and Kristen Grauman, CVPR 2010 (oral presentation)
[paper]

 

Workshop Publications

A Metric Learning Approach for Multi-View Object Recognition and Zero-shot Pose Estimation
Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn and Leonid Sigal, ICCV Workshop on Object Understanding for Interaction, ICCV 2015

Interactive Semantics for Knowledge Transfer
Jonghyun Choi, Sung Ju Hwang, Leonid Sigal and Larry S. Davis, ICML Active Learning Workshop, ICML 2015
[paper]

A Unified Semantic Embedding: Relating Taxonomies and Attributes
Sung Ju Hwang and Leonid Sigal, AAAI Spring Symposium on Knowledge Representation and Reasoning (KRR), KRR 2015
[paper]

A Unified Semantic Embedding: Relating Taxonomies and Attributes
Sung Ju Hwang and Leonid Sigal, NIPS Workshop on Learning Semantics, NIPS 2014
[paper]

Semantic Kernel Forests from Multiple Taxonomies
Sung Ju Hwang, Fei Sha and Kristen Grauman, Big Data Meets Computer Vision: International Workshop on Large Scale Visual Recognition and Retrieval (BigVision), NIPS 2012 (oral presentation)
[paper]

Sharing Features Between Visual Tasks at Different Levels of Granularity
Sung Ju Hwang, Fei Sha and Kristen Grauman, Fine-Grained Visual Categorization Workshop (FGVC), CVPR 2011
[paper]

 

Unrefereed Publications

Deep Asymmetric Multi-task Feature Learning
Haebeom Lee, Eunho Yang and Sung Ju Hwang, arXiv:1708.00260, Aug 2017
[paper]

Hierarchical Maximum-Margin Clustering
Guang-Tong Zhou, Sung Ju Hwang, Mark Schmidt, Leonid Sigal and Greg Mori, arXiv:1502.01827, Feb 2015
[paper]

 

Patents

Sung Ju Hwang, Jonghyun Choi and Leonid Sigal, Object Classification through Semantic Mapping, US Patent 9,740,964, 2017
[paper]

Sung Ju Hwang and Leonid Sigal, Incremental Category Embedding for Categorization, US Patent 9,317,782, 2016
[paper]