2020

Weakly-supervised Video Re-localization with Multiscale Attention Model.
Yung-Han Huang, Kuang-Jui Hsu, Shyh-Kang Jeng, and Yen-Yu Lin,
AAAI Conference on Artificial Intelligence (AAAI), February 2020.

DGGAN: Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images for 3D Hand Pose Estimation.
Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Yen-Yu Lin, Xiaohui Xie, and Wei Fan,
IEEE Winter Conference on Applications of Computer Vision (WACV), March 2020.
2019

Weakly Supervised Instance Segmentation using the Bounding Box Tightness Prior.
Cheng-Chun Hsu*, Kuang-Jui Hsu*, Chung-Chi Tsai, Yen-Yu Lin, and Yung-Yu Chuang,
to appear in Thirty-third Conference on Neural Information Processing Systems (NeurIPS), December 2019.

VOSTR: Video Object Segmentation via Transferable Representations.
Yi-Wen Chen, Yi-Hsuan Tsai, Yen-Yu Lin, and Ming-Hsuan Yang,
to appear in International Journal of Computer Vision (IJCV).
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification.
Yu-Jhe Li*, Yun-Chun Chen*, Yen-Yu Lin, Xiaofei Du, and Yu-Chiang Frank Wang,
IEEE International Conference on Computer Vision (ICCV), October 2019.
Deep Co-saliency Detection via Stacked Autoencoder-enabled Fusion and Self-trained CNNs.
Chung-Chi Tsai*, Kuang-Jui Hsu*, Yen-Yu Lin, Xiaoning Qian, and Yung-Yu Chuang,
to appear in IEEE Transactions on Multimedia (TMM).

What Makes You Look Like You: Learning an Inherent Feature Representation for Person Re-Identification.
Wen-Li Wei, Jen-Chun Lin, Yen-Yu Lin, and Hong-Yuan Mark Liao,
IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), September 2019.

TAGAN: Tonality Aligned Generative Adversarial Networks for Realistic Hand Pose Synthesis.
Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Hui Tang, Yufan Xue, Yen-Yu Lin, Xiaohui Xie, and Wei Fan,
British Machine Vision Conference (BMVC), September 2019.
Referring Expression Object Segmentation with Caption-Aware Consistency.
Yi-Wen Chen, Yi-Hsuan Tsai, Tiantian Wang, Yen-Yu Lin, and Ming-Hsuan Yang,
British Machine Vision Conference (BMVC), September 2019.
Weakly Supervised Salient Object Detection by Learning A Classifier-Driven Map Generator.
Kuang-Jui Hsu, Yen-Yu Lin, and Yung-Yu Chuang,
IEEE Transactions on Image Processing (TIP), volume 28, number 11, pages 5435-5449, November 2019.
FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image.
Tsun-Yi Yang, Yi-Ting Chen, Yen-Yu Lin, and Yung-Yu Chuang,
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2019.
Code
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency.
Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang, and Jia-Bin Huang,
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2019.
Web

DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency Detection.
Kuang-Jui Hsu, Yen-Yu Lin, and Yung-Yu Chuang,
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2019.
Oral presentation, Best paper finalist
Code

LSIM: Ultra Lightweight Similarity Measurement for Mobile Graphics Applications.
Yu-Chuan Chang, Wei-Ming Chen, Pi-Cheng Hsiu, Yen-Yu Lin, and Tei-Wei Kuo,
IEEE/ACM Design Automation Conference (DAC), June 2019.
Acceptance rate: 24.8% (202/815)
Deep Video Frame Interpolation using Cyclic Frame Generation.
Yu-Lun Liu, Yi-Tung Liao, Yen-Yu Lin, and Yung-Yu Chuang,
AAAI Conference on Artificial Intelligence (AAAI), January 2019.
Oral presentation
Code
Image Co-saliency Detection and Co-segmentation via Progressive Joint Optimization.
Chung-Chi Tsai, Weizhi Li, Kuang-Jui Hsu, Xiaoning Qian, and Yen-Yu Lin,
IEEE Transactions on Image Processing (TIP), volume 28, number 1, pages 56-71, January 2019.

2018

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), December 2018.
Web&Code


Unseen Object Segmentation in Videos via Transferable Representations.
Yi-Wen Chen, Yi-Hsuan Tsai, Chu-Ya Yang, Yen-Yu Lin, and Ming-Hsuan Yang,
Asian Conference on Computer Vision (ACCV), December 2018.
Oral presentation, Best Student Award Honorable Mention
Code
Unsupervised CNN-based Co-saliency Detection with Graphical Optimization.
Kuang-Jui Hsu, Chung-Chi Tsai, Yen-Yu Lin, Xiaoning Qian, and Yung-Yu Chuang,
European Conference on Computer Vision (ECCV), September 2018.
Demo Code Pre-computed Results (including all competing methods)
Adversarial Learning for Semi-supervised Semantic Segmentation.
Wei-Chih Hung, Yi-Hsuan Tsai, Yan-Ting Liou, Yen-Yu Lin, and Ming-Hsuan Yang,
British Machine Vision Conference (BMVC), September 2018.
Code

Action Recognition with the Augmented MoCap Data using Neural Data Translation.
Shih-Yao Lin and Yen-Yu Lin,
British Machine Vision Conference (BMVC), September 2018.
Demo Video
USEAQ: Ultra-fast Superpixel Extraction via Adaptive Sampling from Quantized Regions.
Chun-Rong Huang, Wei-Cheng Wang, Wei-An Wang, Szu-Yu Lin, and Yen-Yu Lin,
IEEE Transactions on Image Processing (TIP), volume 27, number 10, pages 4916-4931, October 2018.
Code
Clustering Trajectories in Heterogeneous Representations for Video Event Detection.
Wei-Cheng Wang, Hsin-Wei Cheng, Chun-Rong Huang, and Yen-Yu Lin,
IEEE International conference on Image Processing (ICIP), October 2018.
Oral presentation
Co-attention CNNs for Unsupervised Object Co-segmentation.
Kuang-Jui Hsu, Yen-Yu Lin, and Yung-Yu Chuang,
International Joint Conference on Artificial Intelligence (IJCAI), July 2018.
Demo Code
SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation.
Tsun-Yi Yang, Yi-Hsuan Huang, Yen-Yu Lin, Pi-Cheng Hsiu, and Yung-Yu Chuang,
International Joint Conference on Artificial Intelligence (IJCAI), pages 1078-1084, July 2018.
Acceptance rate: 20% (710/3470)
Code
Learning Adaptive Hidden Layers for Mobile Gesture Recognition.
Ting-Kuei Hu, Yen-Yu Lin, and Pi-Cheng Hsiu,
AAAI Conference on Artificial Intelligence (AAAI), pages 6934-6942, February 2018,
Acceptance rate: 25% (933/3800+)
Web&Code

2017

DeepCD: Learning Deep Complementary Descriptors for Patch Representations.
Tsun-Yi Yang, Jo-Han Hsu, Yen-Yu Lin, and Yung-Yu Chuang,
IEEE International Conference on Computer Vision (ICCV), October 2017.
Code
Weakly Supervised Saliency Detection with A Category-Driven Map Generator.
Kuang-Jui Hsu, Yen-Yu Lin, and Yung-Yu Chuang,
British Machine Vision Conference (BMVC), September 2017.
Code
Recognizing Offensive Tactics in Broadcast Basketball Videos via Key Player Detection.
Tsung-Yu Tsai, Yen-Yu Lin, Hong-Yuan Mark Liao, and Shyh-Kang Jeng,
IEEE International conference on Image Processing (ICIP), September 2017.
Oral presentation
Deep Dictionary Learning for Fine-Grained Image Classification.
Mettu Srinivas, Yen-Yu Lin, and Hong-Yuan Mark Liao,
IEEE International conference on Image Processing (ICIP), September 2017.
Oral presentation

Recognizing Human Actions with Outlier Frames by Observation Filtering and Completion.
Shih-Yao Lin, Yen-Yu Lin, Chu-Song Chen, and Yi-Ping Hung,
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), volume 13, number 3, pages 28:1-28:23, August 2017.
Dataset

Deep co-occurrence feature learning for visual object recognition.
Ya-Fang Shih, Yang-Ming Yeh, Yen-Yu Lin, Ming-Feng Weng, Yi-Chang Lu, and Yung-Yu Chuang,
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), July 2017.
Web

Learning deep and sparse feature representation for fine-grained recognition.
Mettu Srinivas, Yen-Yu Lin, and Hong-Yuan Mark Liao,
IEEE International on Multimedia and Expo (ICME), July 2017.

Segmentation guided local proposal fusion for co-saliency detection.
Chung-Chi Tsai, Xiaoning Qian, and Yen-Yu Lin,
IEEE International on Multimedia and Expo (ICME), July 2017.
Oral presentation
Code


Image Co-Saliency Detection via Locally Adaptive Saliency Map Fusion.
Chung-Chi Tsai, Xiaoning Qian, and Yen-Yu Lin,
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2017.
Code

Learning and Inferring Human Actions with temporal Pyramid Features based on Conditional Random Fields.
Shih-Yao Lin, Yen-Yu Lin, Chu-Song Chen, and Yi-Ping Hung,
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2017.

2016

USEQ: Ultra-Fast Superpixel Extraction via Quantization.
Chun-Rong Huang, Wei-An Wang, Szu-Yu Lin, and Yen-Yu Lin,
IEEE International Conference on Pattern Recognition (ICPR), December 2016.
Web

Learning Discriminatively Reconstructed Source Data for Object Recognition with Few Examples.
Pai-Heng Hsiao, Feng-Ju Chang, and Yen-Yu Lin,
IEEE Transactions on Image Processing (TIP), volume 25, number 8, pages 3518-3532, August 2016.


Accumulated Stability Voting: A Robust Descriptor from Descriptors of Multiple Scales.
Tsun-Yi Yang, Yen-Yu Lin, and Yung-Yu Chuang,
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2016.
Code


Progressive Feature Matching with Alternate Descriptor Selection and Correspondence Enrichment.
Yuan-Ting Hu and Yen-Yu Lin,
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2016.


Precise Player Segmentation in Team Sports Videos Using Contrast-Aware Co-Segmentation.
Tsung-Yu Tsai, Yen-Yu Lin, Hong-Yuan Mark Liao, and Shyh-Kang Jeng,
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2016.



2015


Co-Segmentation Guided Hough Transform for Robust Feature Matching.
Hsin-Yi Chen, Yen-Yu Lin, and Bing-Yu Chen,
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), volume 37, number 12, pages 2388-2401, December 2015.



Matching Images with Multiple Descriptors: An Unsupervised Approach for Locally Adaptive Descriptor Selection.
Yuan-Ting Hu, Yen-Yu Lin, Hsin-Yi Chen, Kuang-Jui Hsu, and Bing-Yu Chen,
IEEE Transactions on Image Processing (TIP), volume 24, number 12, pages 5995-6010, December 2015.

Robust Feature Matching via Multiple Descriptor Fusion.
Yuan-Ting Hu and Yen-Yu Lin,
Asian Conference on Pattern Recognition (ACPR), November 2015.

Robust Image Alignment with Multiple Feature Descriptors and Matching-Guided Neighborhoods.
Kuang-Jui Hsu, Yen-Yu Lin, and Yung-Yu Chuang,
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2015.
Web


Blur Kernel Estimation Using Normalized Color-Line Prior.
Wei-Sheng Lai, Jian-Jiun Ding, Yen-Yu Lin, and Yung-Yu Chuang,
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2015.
Web

Linear Spectral Mixture Analysis via Multiple Kernel Learning for Hypercpectral Image Classification.
Keng-Hao Liu, Yen-Yu Lin, and Chu-Song Chen,
IEEE Transactions on Geoscience and Remote Sensing (TGRS), volume 53, number 4, pages 2254-2269, April 2015.


Robust Action Recognition via Borrowing Information across Video Modalities.
Nick C. Tang, Yen-Yu Lin, Ju-Hsuan Hua, Shih-En Wei, Ming-Fang Weng, and Hong-Yuan Mark Liao,
IEEE Transactions on Image Processing (TIP), volume 24, number 2, pages 709-723, February 2015.


Cross-Camera Knowledge Transfer for Multiview People Counting.
Nick C. Tang, Yen-Yu Lin, Ming-Fang Weng, and Hong-Yuan Mark Liao,
IEEE Transactions on Image Processing (TIP), volume 24, number 1, pages 80-93, January 2015.


2014

Per-cluster Ensemble Kernel Learning for Multi-modal Image Clustering with Group-dependent Feature Selection.
Jeng-Tsung Tsai, Yen-Yu Lin, and Hong-Yuan Mark Liao,
IEEE Transactions on Multimedia (TMM), volume 16, number 8, pages 2229-2241, December 2014.

Skeleton-Augmented Human Action Understanding by Learning with Progressively Refined Data.
Shih-En Wei, Nick C. Tang, Yen-Yu Lin, Ming-Fang Weng, and Hong-Yuan Mark Liao,
ACM International Workshop on Human Centered Event Understanding from Multimedia (HuEvent), November 2014.


Video Saliency Map Detection by Dominant Camera Motion Removal.
Chun-Rong Huang, Yun-Jung Chang, Zhi-Xiang Yang, and Yen-Yu Lin,
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), volume 24, number 8, pages 1336-1349, August 2014.
Web
Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data.
Feng-Ju Chang, Yen-Yu Lin, and Kuang-Jui Hsu,
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2014.


Depth and Skeleton Associated Action Recognition without Online Accessible RGB-D Cameras.
Yen-Yu Lin, Ju-Hsuan Hua, Nick C. Tang, Min-Hung Chen, and Hong-Yuan Mark Liao,
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2014.
Augmented Multiple Instance Regression for Inferring Object Contours in Bounding Boxes.
Kuang-Jui Hsu, Yen-Yu Lin, and Yung-Yu Chuang,
IEEE Transactions on Image Processing (TIP), volume 23, number 4, pages 1722-1736, April 2014.
Web

Human Action Recognition using Associated Depth and Skeleton Information.
Nick C. Tang, Yen-Yu Lin, Ju-Hsuan Hua, Ming-Fang Weng, and Hong-Yuan Mark Liao,
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2014.

2013

Multi-view Face Detection in Videos with Online Adaptation.
Yao-Chuan Chang, Yen-Yu Lin, and Hong-Yuan Mark Liao,
IEEE International conference on Image Processing (ICIP), September 2013.

Robust Feature Matching with Alternate Hough and Inverted Hough Transforms.
Hsin-Yi Chen, Yen-Yu Lin, and Bing-Yu Chen,
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2013.


2012

The Acousticvisual Emotion Gaussians model for automatic generation of music video.
Ju-Chiang Wang, Yi-Hsuan Yang, I-Hong Jhuo, Yen-Yu Lin, and Hsin-Min Wang,
ACM International Conference on Multimedia (MM), November 2012.
Grand Challenge solution paper (First Prize)


Knowledge Leverage from Contours to Bounding Boxes: A Concise Approach to Annotation.
Jie-Zhi Cheng, Feng-Ju Chang, Kuang-Jui Hsu, and Yen-Yu Lin,
Asian Conference on Computer Vision (ACCV), Lecture Notes in Computer Science, November 2012.

Cross-database Transfer Learning via Learnable and Discriminant Error-correcting Output Codes.
Feng-Ju Chang, Yen-Yu Lin, and Ming-Fang Weng,
Asian Conference on Computer Vision (ACCV), Lecture Notes in Computer Science, November 2012.
Oral presentation; Acceptance rate 3.6% (31/869)
Cluster-dependent Feature Selection by Multiple Kernel Self-organizing Map.
Kuan-Chieh Huang, Yen-Yu Lin, and Jie-Zhi Cheng,
IEEE International Conference on Pattern Recognition (ICPR), November 2012.

Visual Knowledge Transfer among Multiple Cameras for People Counting with Occlusion Handling.
Ming-Fang Weng, Yen-Yu Lin, Nick C. Tang, and Hong-Yuan Mark Liao,
ACM International Conference on Multimedia (MM), October 2012, (full paper)
Action Recognition using Instance-specific and Class-consistent Cues.
Chin-An Lin, Yen-Yu Lin, Hong-Yuan Mark Liao, and Shyh-Kang Jeng,
IEEE International conference on Image Processing (ICIP), September 2012.

2011


Cross Camera People Counting with Perspective Estimation and Occlusion Handling.
Tsung-Yi Lin, Yen-Yu Lin, Ming-Fang Weng, Yu-Chiang Wang, Yu-Feng Hsu, and Hong-Yuan Mark Liao,
IEEE International Workshop on Information Forensics and Security (WIFS), November 2011.

Multiple Kernel Learning for Dimensionality Reduction.
Yen-Yu Lin, Tyng-Luh Liu, and Chiou-Shann Fuh,
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), volume 33, number 6, pages 1147-1160, June 2011.

2010


Clustering Complex Data with Group-dependent Feature Selection.
Yen-Yu Lin, Tyng-Luh Liu, and Chiou-Shann Fuh,
European Conference on Computer Vision (ECCV), pages 84-97, September 2010.

2009


Efficient Discriminative Local Learning for Object Recognition.
Yen-Yu Lin, Jyun-Fan Tsai, and Tyng-Luh Liu,
IEEE International Conference on Computer Vision (ICCV), September 2009.

2008


Dimensionality Reduction for Data in Multiple Feature Representations.
Yen-Yu Lin, Tyng-Luh Liu, and Chiou-Shann Fuh,
Advances in Neural Information Processing Systems (NIPS), pages 961 68, December 2008.

2007


Local Ensemble Kernel Learning for Object Category Recognition.
Yen-Yu Lin, Tyng-Luh Liu, and Chiou-Shann Fuh,
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2007.
Oral presentation

2005


Semantic Manifold Learning for Image Retrieval.
Yen-Yu Lin, Tyng-Luh Liu, and Hwann-Tzong Chen,
ACM International Conference on Multimedia (ACM MM), pages 249 58, December 2005.
Best Student Papers Session

Shape Recognition using Fast Boosted Filtering.
Yen-Yu Lin and Tyng-Luh Liu,
IEEE International conference on Image Processing (ICIP), volume 2, pages 554 57, September 2005.

Robust Face Detection with Multi-class Boosting.
Yen-Yu Lin and Tyng-Luh Liu,
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), volume 1, pages 680-687, June 2005.

2004


Fast Object Detection with Occlusions.
Yen-Yu Lin, Tyng-Luh Liu, and Chiou-Shann Fuh,
European Conference on Computer Vision (ECCV), volume 1, pages 402-413, May 2004.