Jia-Bin Huang

Jia-Bin Huang 

I am an Assistant Professor in the Department of Electrical and Computer Engineering at Virginia Tech. My research interests lie at the intersection of computer vision, computer graphics, and machine learning.

I did my PhD in the ECE department at the University of Illinois, Urbana-Champaign advised by Narendra Ahuja. Over the summers, I am lucky to have opportunities to work with Johannes Kopf, Richard Szeliski at Facebook, Sing Bing Kang, Zhengyou Zhang, and Rich Caruana at Microsoft Research, and Leonid Sigal at Disney Research, and Ming-Hsuan Yang at UC Merced. Prior to that, I received my undergraduate degree at National Chiao-Tung University, working with Sheng-Jyh Wang.

Research Group | Teaching | Talks | Publications | CV | CV of Failures | Google Scholar | Research Statement


Email: jbhuang@vt.edu

Tweets by jbhuang0604

Recent talks

01/20/2021 3D Representations Reading Group at MIT [Video] [Slides]
01/26/2021 Vision Seminar, University of Illinois, Urbana-Champaign
02/02/2021 Visual Information Laboratory Seminar, University of Bristol
02/05/2021 3M Non-Tenured Faculty Award Virtual Symposium
02/26/2021 Invited talk at UC Merced
04/23/2021 Invited talk at UT Austin

Highlights and News

04 / 2021 Congrats to Esther and Meng-Li for getting into top PhD programs! Esther will join CS at Stanford University. Meng-Li will join CSE at University of Washington.
04 / 2021 Serving as an associated editor Computer Graphics Forum (2021-2024).
04 / 2021 Serving as a mentor for the LatinX in AI Mentoring Program.
12 / 2020 I am serving as an Area Chair for NeurIPS 2021, ICCV 2021, AAAI 2021, BMVC 2020, as a program committee for SIGGRAPH Asia 2020, and a conflict-of-interest coordinator for SIGGRAPH 2021, and as a reviewer for ICLR and ICML 2021.
08 / 2020 Thanks Facebook and Adobe for the gift donation.
08 / 2020 Thank NSF for the Smart and Connected Health (SCH) grant (1.1M for four years).
03 / 2020 Thank 3M for supporting our work with the 3M Non-Tenure Faculty Award.
02 / 2020 Thanks 4-VA for the supporting us with a collaborative research grant (with Vicente Ordonez at University of Virginia).
09 / 2019 Thanks NSF for supporting us with a medium Cyber-Physical Systems (CPS) grant (with Ryan K. Williams, Haibo Zeng, Changhee Jung).
09 / 2019 Thanks Rehabilitation Engineering Research Centers (RERC) for supporting us through the Rehabilitation Strategies, Techniques, and Interventions program (with Shirley Ryan Ability Lab, Thanassis Rikakis, Aisling Kelliher).
04 / 2019 Thanks SAMSUNG for continuing to support our research through the GRO award (with Alexander Schwing).
02 / 2019 Thanks Google for supporting our research with the Google Faculty Research Award.
04 / 2018 Thanks NSF for supporting our research with an CRII award.

Research Group

Yuliang Zou Badour AlBahar Chen Gao Yue Feng
Yuliang Zou Badour AlBahar Chen Gao Yue Feng
PhD student PhD student PhD student PhD student
Esther Robb Lowell Weissman Yiran Xu
Esther Robb Lowell Weissman Yiran Xu
MS student MS student PhD student

Alumni

Former PhD Students

Former MS/BS Students

Former Visiting Students

Teaching

Publications

Preprints

Hybrid Neural Fusion for Full-frame Video Stabilization
Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, and Jia-Bin Huang
[Paper (PDF)] [Project page] [Code] [Colab notebook] [Two minute video]

arXiv 2021

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Warping and fusing multiple frames stabilize shaky videos without cropping.

Portrait Neural Radiance Fields from a Single Image
Chen Gao, Yichang Shih, Wei-Sheng Lai, Chia-Kai Liang, and Jia-Bin Huang
[Paper (PDF)] [Project page] [Code] (Coming soon)
arXiv 2020

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Using meta-learning and 3D morphable models enables estimating portrait NeRF from a single image.

Few-shot Adaptation of Generative Adversarial Networks
Esther Robb, Vincent Chu, Abhishek Kumar Jia-Bin Huang
arXiv 2020
[Paper (PDF)] [Project page] [Code]

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Learning to See Through Obstructions with Layered Decomposition
Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, and Jia-Bin Huang
Under review for IEEE Transactions on Pattern Analysis and Machine Intelligence
[Paper (PDF)] [Project page] [Code] [Colab notebook]
News coverage: [New Scientists]

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Using meta-learning to enable faster layered decomposition with test-time optimization.

Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors
Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Siwei Ma, and Ming-Hsuan Yang
Under review for International Journal of Computer Vision
[Paper (PDF)] [Project page] [Code]

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Refereed publications

Robust Consistent Video Depth Estimation
Johannes Kopf, Xuejian Rong and Jia-Bin Huang
[Paper (PDF)] [Project page] [Code] (Coming soon)
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 (Oral Presentation)

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Estimating geometrically consistent depth and camera poses from casually captured videos.

Space-time Neural Irradiance Fields for Free-Viewpoint Video
Wenqi Xian, Jia-Bin Huang, Johannes Kopf, and Changil Kim
[Paper (PDF)] [Project page] [Code]
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021

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Learning spatiotemporal NeRF for dynamic scenes from a single video is ambiguious, but we can constrain the disambiute it using scene depth.

 

PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister
International Conference on Learning Representations (ICLR), 2021
[Paper (PDF)] [Project page] [Code]

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DropLoss for Long-Tail Instance Segmentation
Ting-I Hsieh*, Esther Robb*, Hwann-Tzong Chen, and Jia-Bin Huang
Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2021
[Paper (PDF)] [Project page] [Code] (Coming soon)

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Flow-edge Guided Video Completion
Chen Gao, Ayush Saraf, Jia-Bin Huang, and Johannes Kopf
Proceedings of European Conference on Computer Vision (ECCV), 2020
[Paper (PDF)] [Project page] [Code] [Colab notebook] [Two minute video]
News coverage: [New Scientists]

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Semantic View Synthesis
Hsin-Ping Huang, Hung-Yu Tseng, Hsin-Ying Lee, and Jia-Bin Huang
Proceedings of European Conference on Computer Vision (ECCV), 2020
[Paper (PDF)] [Project page] [Code] [Colab notebook]

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DRG: Dual Relation Graph for Human-Object Interaction Detection
Chen Gao, Jiarui Xu, Yuliang Zou, Jia-Bin Huang
Proceedings of European Conference on Computer Vision (ECCV), 2020
[Paper (PDF)] [Project page] [Code] [Colab notebook]

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NAS-DIP: Learning Deep Image Prior with Neural Architecture Search
Yun-Chun Chen*, Chen Gao*, Esther Robb, and Jia-Bin Huang
Proceedings of European Conference on Computer Vision (ECCV), 2020
[Paper (PDF)] [Project page] [Code] [Colab notebook]

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FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang, and Zsolt Kira
Proceedings of European Conference on Computer Vision (ECCV), 2020
[Paper (PDF)] [Project page] [Code] [Colab notebook] (Coming soon)

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Shuffle and Attend: Video Domain Adaptation
Jinwoo Choi, Gaurav Sharma, Samuel Schulter, and Jia-Bin Huang
Proceedings of European Conference on Computer Vision (ECCV), 2020
[Paper (PDF)] [Project page] [Code] [Colab notebook] (Coming soon)

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Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling
Yuliang Zou, Pan Ji, Quoc-Huy Tran, Jia-Bin Huang, and Manmohan Chandraker
Proceedings of European Conference on Computer Vision (ECCV), 2020
[Paper (PDF)] [Project page] [Code] [Colab notebook]

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Consistent Video Depth Estimation
Xuan Luo, Jia-Bin Huang, Richard Szeliski, Kevin Matzen, and Johannes Kopf
ACM Transactions on Graphics (Proceedings of SIGGRAPH), 2020
[Paper (PDF)] [Project page] [Video] [Code] [Colab notebook] [Two minute video]

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3D Photography using Context-aware Layered Depth Inpainting
Meng-Li Shih, Shih-Yang Su, Johannes Kopf, and Jia-Bin Huang
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
[Paper (PDF)] [Project page] [Code] [Colab notebook] [Two minute video]
News coverage: [Synced] [Gigazine] [Digital Information World]

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Learning to See Through Obstructions
Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, and Jia-Bin Huang
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
[Paper (PDF)] [Project page] [Code] [Colab notebook] [Two minute video]
News coverage: [New Scientists]

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Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline
Yu-Lun Liu*, Wei-Sheng Lai*, Yu-Sheng Chen, Yi-Lung Kao, Ming-Hsuan Yang, Yung-Yu Chuang, and Jia-Bin Huang
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
[Paper (PDF)] [Project page] [Code] [Colab notebook]

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Instance-aware Image Colorization
Jheng-Wei Su, Hung-Kuo Chu, and Jia-Bin Huang
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
[Paper (PDF)] [Project page] [Code] [Colab notebook] [Two minute video]

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Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation
Hung-Yu Tseng, Hsin-Ying Lee, Jia-Bin Huang, and Ming-Hsuan Yang
Proceedings of International Conference on Learning Representations (ICLR), 2020 (Spotlight Oral Presentation)
[Paper (PDF)] [Project page] [Code]

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Unsupervised and Semi-Supervised Domain Adaptation for Action Recognition from Drones
Jinwoo Choi, Gaurav Sharma, Manmohan Chandraker, and Jia-Bin Huang
Proceedings of Winter Conference on Applications of Computer Vision (WACV), 2020
[Paper (PDF)] [Dataset] [Poster] [Slides]

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Reducing Footskate in Human Motion Reconstruction with Ground Contact Constraints
Yuliang Zou, Jimei Yang, Duygu Ceylan, Jianming Zhang, Federico Perazzi, and Jia-Bin Huang
Proceedings of Winter Conference on Applications of Computer Vision (WACV), 2020
[Paper (PDF)] [Project page] [Code] [Poster] [Slides]

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Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-segmentation
Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang, and Jia-Bin Huang
IEEE Transactions on Pattern Recognition and Machine Intelligence (PAMI), 2020
[Paper (PDF)] [Project page] [Code]

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DRIT++: Diverse Image-to-Image Translation via Disentangled Representations
Hsin-Ying Lee*, Hung-Yu Tseng*, Qi Mao* Jia-Bin Huang, Yu-Ding Lu, Maneesh Singh, Ming-Hsuan Yang
International Journal of Computer Vision (IJCV), 2020
[Paper (PDF)] [Project page] [Code]

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Tracking Persons-of-Interest via Unsupervised Representation Adaptation
Shun Zhang, Jia-Bin Huang, Jongwoo Lim, Yihong Gong, Jinjun Wang, Narendra Ahuja, and Ming-Hsuan Yang
International Journal of Computer Vision (IJCV), 2020
[Paper (PDF)] [Project page] [Code]

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Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
Jinwoo Choi, Chen Gao, Joseph Messou, and Jia-Bin Huang
Proceedings of Neural Information Processing Systems (NeurIPS), 2019
[Paper (PDF)] [Project page] [Code] [Poster]

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Guided Image-to-Image Translation with Bi-Directional Feature Transformation
Badour AlBahar and Jia-Bin Huang
Proceedings of IEEE International Conference on Computer Vision (ICCV), 2019
[Paper (PDF)] [Project page] [Code] [Supp] [Poster]

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CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency
Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang, and Jia-Bin Huang
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
[Paper (PDF)] [Project page] [Code] [Poster]

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SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation - A Synthetic Dataset and Baselines
Yuan-Ting Hu, Hong-Shuo Chen, Kexin Hui, Jia-Bin Huang, and Alexander Schwing
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
[Paper (PDF)] [Project page] [Code] [Poster]

 

A Closer Look at Few-shot Classification
Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira, Yu-Chiang Frank Wang, and Jia-Bin Huang
International Conference on Learning Representation (ICLR) 2019
[Paper (PDF)] [Project page] [Code] [Poster]

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Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks
Steve T. K. Jan, Joseph Messou, Yen-Chen Lin, Jia-Bin Huang, and Gang Wang
Proceedings of AAAI Conference on Artificial Intelligence (AAAI) 2019
[Paper (PDF)] [Project page] [Code]

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Deep Paper Gestalt
Jia-Bin Huang
arXiv:1812.08775, 2018
Secret Proceedings of Computer Vision and Pattern Recognition (s-CVPR), 2019
[Paper (PDF)] [Project page] [Code]
News coverage: [Syncreview] [ZDNet]

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Source Form: An Automated Crowdsourced Object Generator
Sam Blanchard, Jia-Bin Huang, Christopher B. Williams, Viswanath Meenakshisundaram, Joseph Kubalak, and Sanket Lokegaonkar
ACM SIGGRAPH Studio 2019
[Paper (PDF)] [Video]
News coverage: [3D Printing Industry] [Wherrelz]

 

Progressive Representation Adaptation for Weakly Supervised Object Localization
Dong Li, Jia-Bin Huang, Yali Li, Shengjin Wang, and Ming-Hsuan Yang
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2019
[Paper (PDF)] [Project page] [Code]

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Joint Image Filtering with Deep Convolutional Networks
Yijun Li, Jia-Bin Huang, Narendra Ahuja, and Ming-Hsuan Yang
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2019
[Paper (PDF)] [Project page] [Code]

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Multi-view Wire Art
Kai-Wen Hsiao, Jia-Bin Huang, and Hung-Kuo Chu
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), 2018 (Oral Presentation)
[Paper (PDF)] [Project page] [Code]

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Diverse Image-to-Image Translation via Disentangled Representations
Hsin-Ying Lee*, Hung-Yu Tseng*, Jia-Bin Huang, Maneesh Singh, Ming-Hsuan Yang
Proceedings of European Conference on Computer Vision (ECCV), 2018 (Oral Presentation)
[Paper (PDF)] [Project page] [Code] [Slides] [Poster]

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DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency
Yuliang Zou, Zelun Luo, and Jia-Bin Huang
Proceedings of European Conference on Computer Vision (ECCV), 2018
[Paper (PDF)] [Project page] [Code] [Poster]

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Learning Blind Video Temporal Consistency
Wei-Sheng Lai, Jia-Bin Huang, Oliver Wang, Eli Shechtman, Ersin Yumer, Ming-Hsuan Yang
Proceedings of European Conference on Computer Vision (ECCV), 2018
[Paper (PDF)] [Project page] [Code] [Poster] [Supp]

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VideoMatch: Matching based Video Object Segmentation
Yuan-Ting Hu, Jia-Bin Huang, and Alexander Schwing
Proceedings of European Conference on Computer Vision (ECCV), 2018
[Paper (PDF)] [Project page] [Poster]

Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation
Yuan-Ting Hu, Jia-Bin Huang, and Alexander Schwing
Proceedings of European Conference on Computer Vision (ECCV), 2018
[Paper (PDF)] [Project page] [Poster]

 

iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection
Chen Gao, Yuliang Zou, and Jia-Bin Huang
Proceedings of British Machine Vision Conference (BMVC), 2018
[Paper (PDF)] [Project page] [Code] [Poster] [Supp]

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DeepMVS: Learning Multi-View Stereopsis
Po-Han Huang, Kevin Matzen, Johannes Kopf, Narendra Ahuja, and Jia-Bin Huang
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
[Paper (PDF)] [Project page] [Code] [Poster] [Supp]

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Deep Semantic Matching with Foreground Detection and Cycle-Consistency
Yun-Chun Chen, Po-Hsiang Huang, Li-Yu Yu, Jia-Bin Huang, Ming-Hsuan Yang, and Yen-Yu Lin
Asian Conference on Computer Vision (ACCV), 2018
[Paper (PDF)] [Project page] [Code] [Poster]

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Semi-Automated Home-based Therapy for the Upper Extremity of Stroke Survivors
Thanassis Rikakis, Aisling Kelliher, Jinwoo Choi, Jia-Bin Huang, Kris Kitani, Steve Wolf, and Setor Zilevu
Pervasive Technologies Related to Assistive Environments (PETRA), 2018
[Paper (PDF)]

 

Progressive Cyber-Human Intelligence for Social Good
Thanassis Rikakis, Aisling Kelliher, Jia-Bin Huang, Hari Sundaram
ACM Interactions, 2018
[Paper (PDF)]

 

Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks
Wei-Sheng Lai, Jia-Bin Huang, Narendra Ahuja, and Ming-Hsuan Yang
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2018
[Paper (PDF)] [Project page] [Code]

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Robust Visual Tracking via Hierarchical Convolutional Features
Chao Ma, Jia-Bin Huang, Xiaokang Yang, and Ming-Hsuan Yang
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2018
[Paper (PDF)] [Project page] [Code]

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Adaptive Correlation Filters with Long-Term and Short-Term Memory for Object Tracking
Chao Ma, Jia-Bin Huang, Xiaokang Yang, and Ming-Hsuan Yang
International Journal of Computer Vision (IJCV), 2018
[Paper (PDF)] [Project page] [Code]

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Ensemble of Convolutional Neural Networks for Pose Estimation
Yuki Kawana, Norimichi Ukita, Jia-Bin Huang, and Ming-Hsuan Yang
Computer Vision and Image Understanding (CVIU), 2018
[Paper (PDF)]

 

Semi-Supervised Learning for Optical Flow with Generative Adversarial Networks
Wei-Sheng Lai, Jia-Bin Huang, and Ming-Hsuan Yang
Proceedings of Neural Information Processing Systems (NeurIPS), 2017
[Paper (PDF)] [Project page] [Code] [Poster] [Supp]

 

MaskRNN: Instance Level Video Object Segmentation
Yuan-Ting Hu, Jia-Bin Huang, and Alexander Schwing
Proceedings of Neural Information Processing Systems (NeurIPS), 2017
[Paper (PDF)] [Project page] [Code] [Poster]

 

Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight
Yen-Chen Lin, Ming-Yu Liu, Min Sun, and Jia-Bin Huang
Proceedings of Neural Information Processing Systems (NeurIPS) Workshop on Machine Deception, 2017
[Paper (PDF)] [Project page] [Code]

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Unsupervised Representation Learning by Sorting Sequences
Hsin-Ying Lee, Jia-Bin Huang, Maneesh Singh, and Ming-Hsuan Yang
Proceedings of International Conference on Computer Vision (ICCV), 2017
[Paper (PDF)] [Project page] [Code] [Poster]

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Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
Wei-Sheng Lai, Jia-Bin Huang, Narendra Ahuja, and Ming-Hsuan Yang
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
[Paper (PDF)] [Project page] [Code] [Poster] [Supp]

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HOMER: an interactive system for home based stroke rehabilitation
Aisling Kelliher, Jinwoo Choi, Jia-Bin Huang, Kris Kitani, and Thanassis Rikakis
Proceedings of International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), 2017
[Paper (PDF)] [Project page]

 

Visual Analysis and Synthesis with Physically Grounded Constraints
Jia-Bin Huang
Ph.D. Thesis, Department of Electrical and Computer Engineering
University of Illinois, Urbana-Champaign, August 2016
[Paper (PDF)] [Poster]

 

Temporally Coherent Completion of Dynamic Video
Jia-Bin Huang, Sing Bing Kang, Narendra Ahuja, and Johannes Kopf
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), 2016
[Paper (PDF)] [Project page] [Code] [Mask] [Results]

 

Deep Joint Image Filter
Yijun Li, Jia-Bin Huang, Narendra Ahuja, and Ming-Hsuan Yang
Proceedings of European Conference on Computer Vision (ECCV), 2016
[Paper (PDF)] [Project page] [Code] [Supp] [Poster]

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Tracking Persons-of-Interest via Adaptive Discriminative Features
Shun Zhang, Yihong Gong, Jia-Bin Huang, Jongwoo Lim, Jinjun Wang, Narendra Ahuja, and Ming-Hsuan Yang
Proceedings of European Conference on Computer Vision (ECCV), 2016
[Paper (PDF)] [Project page] [Code] [Supp] [Poster]

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Unsupervised Visual Representation Learning by Graph-based Consistent Constraints
Dong Li, Wei-Chih Hung, Jia-Bin Huang, Shengjin Wang, Narendra Ahuja, and Ming-Hsuan Yang
Proceedings of European Conference on Computer Vision (ECCV), 2016
[Paper (PDF)] [Project page] [Code] [Supp] [Slides] [Poster]

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Detecting Migrating Birds at Night
Jia-Bin Huang, Rich Caruana, Andrew Farnsworth, Steve Kelling, and Narendra Ahuja
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
[Paper (PDF)] [Project page] [Poster]

 

A Comparative Study for Single Image Blind Deblurring
Wei-Sheng Lai, Jia-Bin Huang, Zhe Hu, Narendra Ahuja, and Ming-Hsuan Yang
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 (Spotlight Oral)
[Paper (PDF)] [Project page] [Code] [Supp] [Slides] [Poster]

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Weakly Supervised Object Localization with Progressive Domain Adaptation
Dong Li, Jia-Bin Huang, Yali Li, Shengjin Wang, and Ming-Hsuan Yang
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
[Paper (PDF)] [Project page] [Code] [Supp] [Poster]

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Hierarchical Convolutional Features for Visual Tracking
Chao Ma, Jia-Bin Huang, Xiaokang Yang, and Ming-Hsuan Yang
Proceedings of IEEE International Conference on Computer Vision (ICCV), 2015
[Paper (PDF)] [Project page] [Code] [Supp] [Slides] [Poster]

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Single Image Super-Resolution from Transformed Self-Exemplars
Jia-Bin Huang, Abhishek Singh, and Narendra Ahuja
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 (Oral Presentation)
[Paper (PDF)] [Project page] [Code] [Supp] [Talk] [Slides] [Poster]

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Image Completion using Planar Structure Guidance
Jia-Bin Huang, Sing Bing Kang, Narendra Ahuja, and Johannes Kopf
ACM Transactions on Graphics, Volume 33, Number 4 (SIGGRAPH), 2014 (Oral Presentation)
[Paper (PDF)] [Project page] [2014 Completion_Slides.pdf Slides] [Supp]

 

Towards Accurate and Robust Cross-Ratio based Gaze Trackers Through Learning From Simulation
Jia-Bin Huang, Qin Cai, Zicheng Liu, Narendra Ahuja, and Zhengyou Zhang
Proceedings of ACM Symposium on Eye Tracking Research & Applications (ETRA), 2014 (Oral Presentation)
[Paper (PDF)] [Project page] [Slides]
ETRA 2014 Best Paper Award [Patent]: Eye Gaze Tracking based upon Adaptive Homography Mapping

 

Transformation Guided Image Completion
Jia-Bin Huang, Johannes Kopf, Narendra Ahuja, and Sing Bing Kang
Proceedings of IEEE Conference on International Conference on Computational Photography (ICCP), 2013 (Oral Presentation)
[Paper (PDF)] [Project page] [Slides] [Supplementary material]

 

Saliency Detection via Divergence Analysis: A Unified Perspective
Jia-Bin Huang and Narendra Ahuja
Proceedings of International Conference on Pattern Recognition (ICPR), 2012 (Oral Presentation)
[Paper (PDF)] [Project page] [Slides]

ICPR 2012 Best Student Paper Award (Computer and Robotic Vision Track)

 

Exploiting Self-Similarities for Single Frame Super-Resolution
Chih-Yuan Yang, Jia-Bin Huang, and Ming-Hsuan Yang
Proceedings of Asian Conference on Computer Vision (ACCV), 2010
[Paper (PDF)] [Project page] [Poster]

 

Single Image Deblurring with Adaptive Dictionary Learning
Zhe Hu, Jia-Bin Huang, and Ming-Hsuan Yang
Proceedings of IEEE International Conference on Image Processing (ICIP), 2010.
[Paper (PDF)] [Project page] [Poster]

 

Fast Sparse Representation with Prototypes
Jia-Bin Huang and Ming-Hsuan Yang
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
[Paper (PDF)] [Project page] [Poster]

 

Estimating Human Pose from Occluded Images
Jia-Bin Huang and Ming-Hsuan Yang
Proceedings of Asian Conference on Computer Vision (ACCV), 2009 (Oral Presentation)
[Paper (PDF) ] [Project page] [Slides]

 

Moving Cast Shadow Detection Using Physics-based Features
Jia-Bin Huang and Chu-Song Chen
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009
[Paper (PDF)] [Project page] [Poster]

 

A Physical Approach to Moving Cast Shadow Detection
Jia-Bin Huang and Chu-Song Chen
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, (ICASSP), 2009
[Paper (PDF)] [Project page]

 

Image Recolorization For The Colorblind
Jia-Bin Huang, Chu-Song Chen Tzu-Cheng Jen, and Sheng-Jyh Wang
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, (ICASSP), 2009
[Paper (PDF)] [Project page]

 

Learning Moving Cast Shadows for Foreground Detection
Jia-Bin Huang and Chu-Song Chen
Eighth International Workshop on Visual Surveillance (VS), ECCV Workshop 2008 (Oral Presentation)
[Paper (PDF)] [Project page]

 

Enhancing Color Representation for the Color Vision Impaired
Jia-Bin Huang, Sih-Ying Wu and Chu-Song Chen
Workshop on Computer Vision Applications for the Visually Impaired (CVAVI), ECCV Workshop 2008 (Oral Presentation)
[Paper (PDF)] [Project page]

CVGIP 2008 Best Paper Honorable Mention

 

Information Preserving Color Transformation for Protanopia and Deuteranopia
Jia-Bin Huang, Yu-Cheng-Tseng, Se-In Wu, and Sheng-Jyh Wang
IEEE Signal Processing Letters, Vol. No.10, October 2007
[Paper (PDF)] [Project page]

CVGIP 2006 Best Paper Honorable Mention