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Publications
 
Journal Articles
 
1. Chung-Chi Tsai*, Kuang-Jui Hsu*, Yen-Yu Lin, Xiaoning Qian, and Yung-Yu Chuang, "Deep Co-saliency Detection via Stacked Autoencoder-enabled Fusion and Self-trained CNNs," to appear in IEEE Transactions on Multimedia (TMM). :::icon
2. Yi-Wen Chen, Yi-Hsuan Tsai, Yen-Yu Lin, and Ming-Hsuan Yang, "VOSTR: Video Object Segmentation via Transferable Representations," to appear in International Journal of Computer Vision (IJCV). :::icon
3. Kuang-Jui Hsu, Yen-Yu Lin, and Yung-Yu Chuang, "Weakly Supervised Salient Object Detection by Learning A Classifier-Driven Map Generator," IEEE Transactions on Image Processing (TIP), volume 28, number 11, pages 5435-5449, November 2019. :::icon
4. Chung-Chi Tsai, Weizhi Li, Kuang-Jui Hsu, Xiaoning Qian, and Yen-Yu Lin, "Image Co-saliency Detection and Co-segmentation via Progressive Joint Optimization," IEEE Transactions on Image Processing (TIP), volume 28, number 1, pages 56-71, January 2019. :::icon
5. Chun-Rong Huang, Wei-Cheng Wang, Wei-An Wang, Szu-Yu Lin, and Yen-Yu Lin, "USEAQ: Ultra-fast Superpixel Extraction via Adaptive Sampling from Quantized Regions," IEEE Transactions on Image Processing (TIP), volume 27, number 10, pages 4916-4931, October 2018. :::icon
6. Shih-Yao Lin, Yen-Yu Lin, Chu-Song Chen, and Yi-Ping Hung, "Recognizing Human Actions with Outlier Frames by Observation Filtering and Completion," ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), volume 13, number 3, pages 28:1-28:23, August 2017. :::icon
7. Pai-Heng Hsiao, Feng-Ju Chang, and Yen-Yu Lin, "Learning Discriminatively Reconstructed Source Data for Object Recognition with Few Examples," IEEE Transactions on Image Processing (TIP), volume 25, number 8, pages 3518-3532, August 2016.
8. Hsin-Yi Chen, Yen-Yu Lin, and Bing-Yu Chen, "Co-Segmentation Guided Hough Transform for Robust Feature Matching," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), volume 37, number 12, pages 2388-2401, December 2015.
9. Yuan-Ting Hu, Yen-Yu Lin, Hsin-Yi Chen, Kuang-Jui Hsu, and Bing-Yu Chen, "Matching Images with Multiple Descriptors: An Unsupervised Approach for Locally Adaptive Descriptor Selection," IEEE Transactions on Image Processing (TIP), volume 24, number 12, pages 5995-6010, December 2015. :::icon
10. Keng-Hao Liu, Yen-Yu Lin, and Chu-Song Chen, "Linear Spectral Mixture Analysis via Multiple Kernel Learning for Hypercpectral Image Classification," IEEE Transactions on Geoscience and Remote Sensing (TGRS), volume 53, number 4, pages 2254-2269, April 2015.
11. Nick C. Tang, Yen-Yu Lin, Ju-Hsuan Hua, Shih-En Wei, Ming-Fang Weng, and Hong-Yuan Mark Liao, "Robust Action Recognition via Borrowing Information across Video Modalities," IEEE Transactions on Image Processing (TIP), volume 24, number 2, pages 709-723, February 2015.
12. Nick C. Tang, Yen-Yu Lin, Ming-Fang Weng, and Hong-Yuan Mark Liao, "Cross-Camera Knowledge Transfer for Multiview People Counting," IEEE Transactions on Image Processing (TIP), volume 24, number 1, pages 80-93, January 2015.
13. Jeng-Tsung Tsai, Yen-Yu Lin, and Hong-Yuan Mark Liao, "Per-cluster Ensemble Kernel Learning for Multi-modal Image Clustering with Group-dependent Feature Selection," IEEE Transactions on Multimedia (TMM), volume 16, number 8, pages 2229-2241, December 2014.
14. Chun-Rong Huang, Yun-Jung Chang, Zhi-Xiang Yang, and Yen-Yu Lin, "Video Saliency Map Detection by Dominant Camera Motion Removal," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), volume 24, number 8, pages 1336-1349, August 2014.
15. Kuang-Jui Hsu, Yen-Yu Lin, and Yung-Yu Chuang, "Augmented Multiple Instance Regression for Inferring Object Contours in Bounding Boxes," IEEE Transactions on Image Processing (TIP), volume 23, number 4, pages 1722-1736, April 2014. :::icon
16. Yen-Yu Lin, Tyng-Luh Liu, and Chiou-Shann Fuh, "Multiple Kernel Learning for Dimensionality Reduction," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), volume 33, number 6, pages 1147-1160, June 2011.
 
 
Conference Papers
 
1. Cheng-Chun Hsu*, Kuang-Jui Hsu*, Chung-Chi Tsai, Yen-Yu Lin, and Yung-Yu Chuang, "Weakly Supervised Instance Segmentation using the Bounding Box Tightness Prior," Thirty-third Conference on Neural Information Processing Systems (NeurIPS), December 2019.
2. Yu-Jhe Li*, Yun-Chun Chen*, Yen-Yu Lin, Xiaofei Du, and Yu-Chiang Frank Wang, "Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification," IEEE International Conference on Computer Vision (ICCV), October 2019. :::icon
3. Wen-Li Wei, Jen-Chun Lin, Yen-Yu Lin, and Hong-Yuan Mark Liao, "What Makes You Look Like You: Learning an Inherent Feature Representation for Person Re-Identification," IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), September 2019. :::icon
4. Yi-Wen Chen, Yi-Hsuan Tsai, Tiantian Wang, Yen-Yu Lin, and Ming-Hsuan Yang, "Referring Expression Object Segmentation with Caption-Aware Consistency," British Machine Vision Conference (BMVC), September 2019. :::icon
5. Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Hui Tang, Yufan Xue, Yen-Yu Lin, Xiaohui Xie, and Wei Fan, "TAGAN: Tonality Aligned GenerativeAdversarial Networks for Realistic HandPose Synthesis," British Machine Vision Conference (BMVC), September 2019. :::icon
6. Tsun-Yi Yang, Yi-Ting Chen, Yen-Yu Lin, and Yung-Yu Chuang, "FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2019. :::icon
7. Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang, and Jia-Bin Huang, "CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2019. :::icon
8. Yu-Chuan Chang, Wei-Ming Chen, Pi-Cheng Hsiu, Yen-Yu Lin, and Tei-Wei Kuo, "LSIM: Ultra Lightweight Similarity Measurement for Mobile Graphics Applications," IEEE/ACM Design Automation Conference (DAC), June 2019, (202/815=24.8%) :::icon
9. Kuang-Jui Hsu, Yen-Yu Lin, and Yung-Yu Chuang, "DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency Detection," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2019, (oral presentation, best paper finalist) :::icon
10. Yu-Lun Liu, Yi-Tung Liao, Yen-Yu Lin, and Yung-Yu Chuang, "Deep Video Frame Interpolation using Cyclic Frame Generation," AAAI Conference on Artificial Intelligence (AAAI), January 2019, (oral presentation) :::icon
11. Yun-Chun Chen, Po-Hsiang Huang, Li-Yu Yu, Jia-Bin Huang, Ming-Hsuan Yang, and Yen-Yu Lin, "Deep Semantic Matching with Foreground Detection and Cycle-Consistency," Asian Conference on Computer Vision (ACCV), December 2018. :::icon
12. Yi-Wen Chen, Yi-Hsuan Tsai, Chu-Ya Yang, Yen-Yu Lin, and Ming-Hsuan Yang, "Unseen Object Segmentation in Videos via Transferable Representations," Asian Conference on Computer Vision (ACCV), December 2018, (Oral presentation, Best Student Award Honorable Mention) :::icon
13. Wei-Cheng Wang, Hsin-Wei Cheng, Chun-Rong Huang, and Yen-Yu Lin, "Clustering Trajectories in Heterogeneous Representations for Video Event Detection," IEEE International Conference on Image Processing (ICIP), October 2018, (oral) :::icon
14. Shih-Yao Lin and Yen-Yu Lin, "Action Recognition with the Augmented MoCap Data using Neural Data Translation," British Machine Vision Conference (BMVC), September 2018. :::icon
15. Wei-Chih Hung, Yi-Hsuan Tsai, Yan-Ting Liou, Yen-Yu Lin, and Ming-Hsuan Yang, "Adversarial Learning for Semi-supervised Semantic Segmentation," British Machine Vision Conference (BMVC), September 2018. :::icon
16. Kuang-Jui Hsu, Chung-Chi Tsai, Yen-Yu Lin, Xiaoning Qian, and Yung-Yu Chuang, "Unsupervised CNN-based Co-saliency Detection with Graphical Optimization," European Conference on Computer Vision (ECCV), September 2018. :::icon
17. Kuang-Jui Hsu, Yen-Yu Lin, and Yung-Yu Chuang, "Co-attention CNNs for Unsupervised Object Co-segmentation," International Joint Conference on Artificial Intelligence (IJCAI), July 2018. :::icon
18. Tsun-Yi Yang, Yi-Hsuan Huang, Yen-Yu Lin, Pi-Cheng Hsiu, and Yung-Yu Chuang, "SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation," International Joint Conference on Artificial Intelligence (IJCAI), pages 1078-1084, July 2018, (710/3470 = 20%) :::icon
19. Ting-Kuei Hu, Yen-Yu Lin, and Pi-Cheng Hsiu, "Learning Adaptive Hidden Layers for Mobile Gesture Recognition," AAAI Conference on Artificial Intelligence (AAAI), pages 6934-6942, February 2018, (933/3800+ = 25%) :::icon
20. Tsun-Yi Yang, Jo-Han Hsu, Yen-Yu Lin, and Yung-Yu Chuang, "DeepCD: Learning Deep Complementary Descriptors for Patch Representations," IEEE International Conference on Computer Vision (ICCV), October 2017. :::icon
21. Tsung-Yu Tsai, Yen-Yu Lin, Hong-Yuan Mark Liao, and Shyh-Kang Jeng, "Recognizing Offensive Tactics in Broadcast Basketball Videos via Key Player Detection," IEEE International Conference on Image Processing (ICIP), September 2017, (oral) :::icon
22. Mettu Srinivas, Yen-Yu Lin, and Hong-Yuan Mark Liao, "Deep Dictionary Learning for Fine-Grained Image Classification," IEEE International Conference on Image Processing (ICIP), September 2017, (oral) :::icon
23. Kuang-Jui Hsu, Yen-Yu Lin, and Yung-Yu Chuang, "Weakly Supervised Saliency Detection with A Category-Driven Map Generator," British Machine Vision Conference (BMVC), September 2017. :::icon
24. Ya-Fang Shih, Yang-Ming Yeh, Yen-Yu Lin, Ming-Feng Weng, Yi-Chang Lu, and Yung-Yu Chuang, "Deep co-occurrence feature learning for visual object recognition," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), July 2017. :::icon
25. Chung-Chi Tsai, Xiaoning Qian, and Yen-Yu Lin, "Segmentation guided local proposal fusion for co-saliency detection," IEEE International on Multimedia and Expo (ICME), July 2017, (oral) :::icon
26. Mettu Srinivas, Yen-Yu Lin, and Hong-Yuan Mark Liao, "Learning deep and sparse feature representation for fine-grained recognition," IEEE International on Multimedia and Expo (ICME), July 2017. :::icon
27. Chung-Chi Tsai, Xiaoning Qian, and Yen-Yu Lin, "Image Co-Saliency Detection via Locally Adaptive Saliency Map Fusion," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2017. :::icon
28. Shih-Yao Lin, Yen-Yu Lin, Chu-Song Chen, and Yi-Ping Hung, "Learning and Inferring Human Actions with temporal Pyramid Features based on Conditional Random Fields," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2017. :::icon
29. Chun-Rong Huang, Wei-An Wang, Szu-Yu Lin, and Yen-Yu Lin, "USEQ: Ultra-Fast Superpixel Extraction via Quantization," IEEE International Conference on Pattern Recognition (ICPR), December 2016.
30. Tsun-Yi Yang, Yen-Yu Lin, and Yung-Yu Chuang, "Accumulated Stability Voting: A Robust Descriptor from Descriptors of Multiple Scales," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2016.
31. Yuan-Ting Hu and Yen-Yu Lin, "Progressive Feature Matching with Alternate Descriptor Selection and Correspondence Enrichment," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2016.
32. Tsung-Yu Tsai, Yen-Yu Lin, Hong-Yuan Mark Liao, and Shyh-Kang Jeng, "Precise Player Segmentation in Team Sports Videos Using Contrast-Aware Co-Segmentation," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2016.
33. Yuan-Ting Hu and Yen-Yu Lin, "Robust Feature Matching via Multiple Descriptor Fusion," Asian Conference on Pattern Recognition (ACPR), November 2015.
34. Kuang-Jui Hsu, Yen-Yu Lin, and Yung-Yu Chuang, "Robust Image Alignment with Multiple Feature Descriptors and Matching-Guided Neighborhoods," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2015. :::icon
35. Wei-Sheng Lai, Jian-Jiun Ding, Yen-Yu Lin, and Yung-Yu Chuang, "Blur Kernel Estimation Using Normalized Color-Line Prior," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2015.
36. Shih-En Wei, Nick C. Tang, Yen-Yu Lin, Ming-Fang Weng, and Hong-Yuan Mark Liao, "Skeleton-Augmented Human Action Understanding by Learning with Progressively Refined Data," ACM International Workshop on Human Centered Event Understanding from Multimedia (HuEvent), November 2014.
37. Feng-Ju Chang, Yen-Yu Lin, and Kuang-Jui Hsu, "Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2014. :::icon
38. Yen-Yu Lin, Ju-Hsuan Hua, Nick C. Tang, Min-Hung Chen, and Hong-Yuan Mark Liao, "Depth and Skeleton Associated Action Recognition without Online Accessible RGB-D Cameras," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2014.
39. Nick C. Tang, Yen-Yu Lin, Ju-Hsuan Hua, Ming-Fang Weng, and Hong-Yuan Mark Liao, "Human Action Recognition using Associated Depth and Skeleton Information," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2014.
40. Yao-Chuan Chang, Yen-Yu Lin, and Hong-Yuan Mark Liao, "Multi-view Face Detection in Videos with Online Adaptation," IEEE International Conference on Image Processing (ICIP), September 2013.
41. Hsin-Yi Chen, Yen-Yu Lin, and Bing-Yu Chen, "Robust Feature Matching with Alternate Hough and Inverted Hough Transforms," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2013.
42. Kuan-Chieh Huang, Yen-Yu Lin, and Jie-Zhi Cheng, "Cluster-dependent Feature Selection by Multiple Kernel Self-organizing Map," IEEE International Conference on Pattern Recognition (ICPR), November 2012.
43. Jie-Zhi Cheng, Feng-Ju Chang, Kuang-Jui Hsu, and Yen-Yu Lin, "Knowledge Leverage from Contours to Bounding Boxes: A Concise Approach to Annotation," Asian Conference on Computer Vision (ACCV), Lecture Notes in Computer Science, November 2012. :::icon
44. Ju-Chiang Wang, Yi-Hsuan Yang, I-Hong Jhuo, Yen-Yu Lin, and Hsin-Min Wang, "The Acousticvisual Emotion Gaussians model for automatic generation of music video," ACM Int. Conf. Multimedia (MM), November 2012, Grand Challenge solution paper (First Prize)
45. Feng-Ju Chang, Yen-Yu Lin, and Ming-Fang Weng, "Cross-database Transfer Learning via Learnable and Discriminant Error-correcting Output Codes," Asian Conference on Computer Vision (ACCV), Lecture Notes in Computer Science, November 2012, (Oral presentation; Acceptance rate 3.6% (31/869)) :::icon
46. Ju-Chiang Wang, Yi-Hsuan Yang, I-Hong Jhuo, Yen-Yu Lin and Hsin-Min Wang, "The Acousticvisual Emotion Guassians Model for Automatic Generation of Music Video," Proc. ACM International Conference on Multimedia (MM), October 2012, (First Prize in ACM Multimedia 2012 Grand Challenge) :::icon
47. Ming-Fang Weng, Yen-Yu Lin, Nick C. Tang, and Hong-Yuan Mark Liao, "Visual Knowledge Transfer among Multiple Cameras for People Counting with Occlusion Handling," ACM International Conference on Multimedia (MM), October 2012, (full paper)
48. Chin-An Lin, Yen-Yu Lin, Hong-Yuan Mark Liao, and Shyh-Kang Jeng, "Action Recognition using Instance-specific and Class-consistent Cues," IEEE International Conference on Image Processing (ICIP), September 2012.
49. Tsung-Yi Lin, Yen-Yu Lin, Ming-Fang Weng, Yu-Chiang Wang, Yu-Feng Hsu, and Hong-Yuan Mark Liao, "Cross Camera People Counting with Perspective Estimation and Occlusion Handling," IEEE International Workshop on Information Forensics and Security (WIFS), November 2011.
50. Yen-Yu Lin, Tyng-Luh Liu, and Chiou-Shann Fuh, "Clustering Complex Data with Group-dependent Feature Selection," European Conference on Computer Vision (ECCV), pages 84-97, September 2010.
51. Yen-Yu Lin, Jyun-Fan Tsai, and Tyng-Luh Liu, "Efficient Discriminative Local Learning for Object Recognition," IEEE International conference on Computer Vision (ICCV), September 2009.
52. Yen-Yu Lin, Tyng-Luh Liu, and Chiou-Shann Fuh, "Dimensionality Reduction for Data in Multiple Feature Representations," Advances in Neural Information Processing Systems (NIPS), pages 961–968, December 2008.
53. Yen-Yu Lin, Tyng-Luh Liu, and Chiou-Shann Fuh, "Local Ensemble Kernel Learning for Object Category Recognition," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2007, (oral presentation)
54. Yen-Yu Lin, Tyng-Luh Liu, and Hwann-Tzong Chen, "Semantic Manifold Learning for Image Retrieval," ACM International Conference on Multimedia (ACM MM), pages 249–258, December 2005, (Best Student Papers Session)
55. Yen-Yu Lin and Tyng-Luh Liu, "Shape Recognition using Fast Boosted Filtering," IEEE International conference on Image Processing (ICIP), volume 2, pages 554–557, September 2005.
56. Yen-Yu Lin and Tyng-Luh Liu, "Robust Face Detection with Multi-class Boosting," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), volume 1, pages 680–687, June 2005.
57. Yen-Yu Lin, Tyng-Luh Liu, and Chiou-Shann Fuh, "Fast Object Detection with Occlusions," European Conference on Computer Vision (ECCV), volume 1, pages 402–413, May 2004.
 
 
 
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