default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYi-Hsuan Tsai
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j9]Yi-Hsuan Tsai, Prasenjit Mitra, David Taniar, Tun-Wen Pai:
DNA methylation biomarker analysis from low-survival-rate cancers based on genetic functional approaches. Frontiers Bioinform. 5 (2025)- [c75]Jonathan Lee, Bolivar Solarte, Chin-Hsuan Wu, Jin-Cheng Jhang, Fu-En Wang, Yi-Hsuan Tsai, Min Sun:
uLayout: Unified Room Layout Estimation for Perspective and Panoramic Images. WACV 2025: 8410-8419 - [i64]Chi-Hsi Kung, Frangil Ramirez, Juhyung Ha, Yi-Ting Chen, David Crandall, Yi-Hsuan Tsai:
What Changed and What Could Have Changed? State-Change Counterfactuals for Procedure-Aware Video Representation Learning. CoRR abs/2503.21055 (2025) - [i63]Jonathan Lee, Bolivar Solarte, Chin-Hsuan Wu, Jin-Cheng Jhang, Fu-En Wang, Yi-Hsuan Tsai, Min Sun:
uLayout: Unified Room Layout Estimation for Perspective and Panoramic Images. CoRR abs/2503.21562 (2025) - [i62]Shu-Wei Lu, Yi-Hsuan Tsai, Yi-Ting Chen:
Toward Real-world BEV Perception: Depth Uncertainty Estimation via Gaussian Splatting. CoRR abs/2504.01957 (2025) - 2024
- [c74]Yuanze Lin, Yi-Wen Chen, Yi-Hsuan Tsai, Lu Jiang, Ming-Hsuan Yang:
Text-Driven Image Editing via Learnable Regions. CVPR 2024: 7059-7068 - [c73]Kuan-Chih Huang, Weijie Lyu, Ming-Hsuan Yang, Yi-Hsuan Tsai:
PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection. CVPR 2024: 14938-14947 - [c72]Chi-Hsi Kung, Shu-Wei Lu, Yi-Hsuan Tsai, Yi-Ting Chen:
Action-Slot: Visual Action-Centric Representations for Multi-Label Atomic Activity Recognition in Traffic Scenes. CVPR 2024: 18451-18461 - [c71]Kuan-Chih Huang, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Weakly Supervised 3D Object Detection via Multi-level Visual Guidance. ECCV (1) 2024: 175-191 - [c70]Shuangkang Fang
, Yufeng Wang, Yi-Hsuan Tsai, Yi Yang, Wenrui Ding, Shuchang Zhou, Ming-Hsuan Yang:
Chat-Edit-3D: Interactive 3D Scene Editing via Text Prompts. ECCV (42) 2024: 199-216 - [c69]Bolivar Solarte, Chin-Hsuan Wu, Jin-Cheng Jhang, Jonathan Lee, Yi-Hsuan Tsai, Min Sun:
Self-training Room Layout Estimation via Geometry-Aware Ray-Casting. ECCV (45) 2024: 253-269 - [i61]Weijie Lyu, Xueting Li, Abhijit Kundu, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Gaga: Group Any Gaussians via 3D-aware Memory Bank. CoRR abs/2404.07977 (2024) - [i60]Shuangkang Fang, Yufeng Wang, Yi-Hsuan Tsai, Yi Yang, Wenrui Ding, Shuchang Zhou, Ming-Hsuan Yang:
Chat-Edit-3D: Interactive 3D Scene Editing via Text Prompts. CoRR abs/2407.06842 (2024) - [i59]Bolivar Solarte, Chin-Hsuan Wu, Jin-Cheng Jhang, Jonathan Lee, Yi-Hsuan Tsai, Min Sun:
Self-training Room Layout Estimation via Geometry-aware Ray-casting. CoRR abs/2407.15041 (2024) - [i58]Jingyi Xu, Hieu Le, Zhixin Shu, Yang Wang, Yi-Hsuan Tsai, Dimitris Samaras:
Learning Frame-Wise Emotion Intensity for Audio-Driven Talking-Head Generation. CoRR abs/2409.19501 (2024) - [i57]Wei-Hsiang Yu, Yen-Yu Lin, Ming-Hsuan Yang, Yi-Hsuan Tsai:
Ranking-aware adapter for text-driven image ordering with CLIP. CoRR abs/2412.06760 (2024) - [i56]Yi-Lun Lee, Yi-Hsuan Tsai, Wei-Chen Chiu:
Delve into Visual Contrastive Decoding for Hallucination Mitigation of Large Vision-Language Models. CoRR abs/2412.06775 (2024) - [i55]Yi-Lun Lee, Chen-Yu Lee, Wei-Chen Chiu, Yi-Hsuan Tsai:
Exemplar Masking for Multimodal Incremental Learning. CoRR abs/2412.09549 (2024) - 2023
- [j8]Fu-En Wang, Yu-Hsuan Yeh, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun:
BiFuse++: Self-Supervised and Efficient Bi-Projection Fusion for 360° Depth Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5448-5460 (2023) - [c68]Yi-Lun Lee, Yi-Hsuan Tsai, Wei-Chen Chiu, Chen-Yu Lee:
Multimodal Prompting with Missing Modalities for Visual Recognition. CVPR 2023: 14943-14952 - [c67]Kuan-Chih Huang, Ming-Hsuan Yang, Yi-Hsuan Tsai:
Delving into Motion-Aware Matching for Monocular 3D Object Tracking. ICCV 2023: 6886-6895 - [c66]Cheng-Ju Ho, Chen-Hsuan Tai, Yen-Yu Lin, Ming-Hsuan Yang, Yi-Hsuan Tsai:
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection. NeurIPS 2023 - [c65]Yi-Lun Lee, Dian-Shan Chen, Chen-Yu Lee, Yi-Hsuan Tsai, Wei-Chen Chiu:
Data Efficient Incremental Learning via Attentive Knowledge Replay. SMC 2023: 2952-2959 - [i54]Yi-Lun Lee, Yi-Hsuan Tsai, Wei-Chen Chiu, Chen-Yu Lee:
Multimodal Prompting with Missing Modalities for Visual Recognition. CoRR abs/2303.03369 (2023) - [i53]Kuan-Chih Huang, Ming-Hsuan Yang, Yi-Hsuan Tsai:
Delving into Motion-Aware Matching for Monocular 3D Object Tracking. CoRR abs/2308.11607 (2023) - [i52]Shuangkang Fang, Yufeng Wang, Yi Yang, Yi-Hsuan Tsai, Wenrui Ding, Ming-Hsuan Yang, Shuchang Zhou:
Text-driven Editing of 3D Scenes without Retraining. CoRR abs/2309.04917 (2023) - [i51]Yuanze Lin, Yi-Wen Chen, Yi-Hsuan Tsai, Lu Jiang, Ming-Hsuan Yang:
Text-Driven Image Editing via Learnable Regions. CoRR abs/2311.16432 (2023) - [i50]Chi-Hsi Kung, Shu-Wei Lu, Yi-Hsuan Tsai, Yi-Ting Chen:
Action-slot: Visual Action-centric Representations for Multi-label Atomic Activity Recognition in Traffic Scenes. CoRR abs/2311.17948 (2023) - [i49]Cheng-Ju Ho, Chen-Hsuan Tai, Yen-Yu Lin, Ming-Hsuan Yang, Yi-Hsuan Tsai:
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection. CoRR abs/2312.02966 (2023) - [i48]Kuan-Chih Huang, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Weakly Supervised 3D Object Detection via Multi-Level Visual Guidance. CoRR abs/2312.07530 (2023) - [i47]Kuan-Chih Huang, Weijie Lyu, Ming-Hsuan Yang, Yi-Hsuan Tsai:
PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection. CoRR abs/2312.08371 (2023) - 2022
- [j7]Yi-Wen Chen, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Understanding Synonymous Referring Expressions via Contrastive Features. Int. J. Comput. Vis. 130(10): 2501-2516 (2022) - [j6]Bolivar Solarte, Yueh-Cheng Liu, Chin-Hsuan Wu, Yi-Hsuan Tsai, Min Sun:
360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan Estimation. IEEE Robotics Autom. Lett. 7(3): 6503-6510 (2022) - [c64]Cheng-Ju Ho, Chen-Hsuan Tai, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang:
Learning Object-level Point Augmentor for Semi-supervised 3D Object Detection. BMVC 2022: 185 - [c63]Chang Liu, Xiang Yu, Yi-Hsuan Tsai, Masoud Faraki, Ramin Moslemi, Manmohan Chandraker, Yun Fu:
Learning to Learn across Diverse Data Biases in Deep Face Recognition. CVPR 2022: 4062-4072 - [c62]Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker:
On Generalizing Beyond Domains in Cross-Domain Continual Learning. CVPR 2022: 9255-9264 - [c61]Inkyu Shin, Yi-Hsuan Tsai, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Sparsh Garg, In So Kweon, Kuk-Jin Yoon:
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation. CVPR 2022: 16907-16916 - [c60]Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, Bohyung Han:
Learning Semantic Segmentation from Multiple Datasets with Label Shifts. ECCV (28) 2022: 20-36 - [c59]Zaid Tasneem, Giovanni Milione, Yi-Hsuan Tsai, Xiang Yu, Ashok Veeraraghavan, Manmohan Chandraker, Francesco Pittaluga:
Learning Phase Mask for Privacy-Preserving Passive Depth Estimation. ECCV (7) 2022: 504-521 - [c58]Yu-Ting Yen, Chia-Ni Lu, Wei-Chen Chiu, Yi-Hsuan Tsai:
3D-PL: Domain Adaptive Depth Estimation with 3D-Aware Pseudo-Labeling. ECCV (27) 2022: 710-728 - [c57]Meng-Shiun Tsai, Pei-Ze Chiang, Yi-Hsuan Tsai, Wei-Chen Chiu:
Self-Supervised Feature Learning from Partial Point Clouds via Pose Disentanglement. IROS 2022: 1031-1038 - [c56]Bolivar Solarte, Chin-Hsuan Wu, Yueh-Cheng Liu, Yi-Hsuan Tsai, Min Sun:
360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning. NeurIPS 2022 - [c55]Yi-Hsuan Tsai, Lucy Yi-Hsuan Lai, Yun-Te Liao, Shu-Jen Chen, Tun-Wen Pai, Margaret Dah-Tsyr Chang:
Intelligent DNA methylation biomarker selection for colorectal cancer. SMC 2022: 1671-1676 - [c54]Yufeng Wang, Yi-Hsuan Tsai, Wei-Chih Hung, Wenrui Ding, Shuo Liu, Ming-Hsuan Yang:
Semi-supervised Multi-task Learning for Semantics and Depth. WACV 2022: 2663-2672 - [i46]Meng-Shiun Tsai, Pei-Ze Chiang, Yi-Hsuan Tsai, Wei-Chen Chiu:
Self-Supervised Feature Learning from Partial Point Clouds via Pose Disentanglement. CoRR abs/2201.03018 (2022) - [i45]Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, Bohyung Han:
Learning Semantic Segmentation from Multiple Datasets with Label Shifts. CoRR abs/2202.14030 (2022) - [i44]Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker:
On Generalizing Beyond Domains in Cross-Domain Continual Learning. CoRR abs/2203.03970 (2022) - [i43]Inkyu Shin, Yi-Hsuan Tsai, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Sparsh Garg, In So Kweon, Kuk-Jin Yoon:
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation. CoRR abs/2204.12667 (2022) - [i42]Fu-En Wang, Yu-Hsuan Yeh, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun:
BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation. CoRR abs/2209.02952 (2022) - [i41]Yu-Ting Yen, Chia-Ni Lu, Wei-Chen Chiu, Yi-Hsuan Tsai:
3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling. CoRR abs/2209.09231 (2022) - [i40]Bolivar Solarte, Chin-Hsuan Wu, Yueh-Cheng Liu, Yi-Hsuan Tsai, Min Sun:
360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning. CoRR abs/2210.12935 (2022) - [i39]Cheng-Ju Ho, Chen-Hsuan Tai, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang:
Learning Object-level Point Augmentor for Semi-supervised 3D Object Detection. CoRR abs/2212.09273 (2022) - 2021
- [j5]Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Yu-Ting Chang, Yijun Li, Deng Cai, Ming-Hsuan Yang:
Learning to Caricature via Semantic Shape Transform. Int. J. Comput. Vis. 129(9): 2663-2679 (2021) - [c53]Yi-Lun Lee, Yen-Chung Chen, Min-Yuan Tseng, Yi-Hsuan Tsai, Wei-Chen Chiu:
Learning to Hide Residual for Boosting Image Compression. BMVC 2021: 11 - [c52]Fu-En Wang, Yu-Hsuan Yeh, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai:
LED2-Net: Monocular 360deg Layout Estimation via Differentiable Depth Rendering. CVPR 2021: 12956-12965 - [c51]Masoud Faraki, Xiang Yu, Yi-Hsuan Tsai, Yumin Suh, Manmohan Chandraker:
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains. CVPR 2021: 15292-15301 - [c50]Zunzhi You, Yi-Hsuan Tsai, Wei-Chen Chiu, Guanbin Li:
Towards Interpretable Deep Networks for Monocular Depth Estimation. ICCV 2021: 12859-12868 - [c49]Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker:
Learning Cross-Modal Contrastive Features for Video Domain Adaptation. ICCV 2021: 13598-13607 - [c48]Bolivar Solarte, Chin-Hsuan Wu, Kuan-Wei Lu, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun:
Robust 360-8PA: Redesigning The Normalized 8-point Algorithm for 360-FoV Images. ICRA 2021: 11032-11038 - [c47]Yi-Wen Chen, Yi-Hsuan Tsai, Ming-Hsuan Yang:
End-to-end Multi-modal Video Temporal Grounding. NeurIPS 2021: 28442-28453 - [c46]Min-Yuan Tseng, Yen-Chung Chen, Yi-Lun Lee, Wei-Sheng Lai, Yi-Hsuan Tsai, Wei-Chen Chiu:
Dual-Stream Fusion Network for Spatiotemporal Video Super-Resolution. WACV 2021: 2683-2692 - [i38]Masoud Faraki, Xiang Yu, Yi-Hsuan Tsai, Yumin Suh, Manmohan Chandraker:
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains. CoRR abs/2103.07503 (2021) - [i37]Fu-En Wang, Yu-Hsuan Yeh, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai:
LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering. CoRR abs/2104.00568 (2021) - [i36]Yi-Wen Chen, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Understanding Synonymous Referring Expressions via Contrastive Features. CoRR abs/2104.10156 (2021) - [i35]Bolivar Solarte, Chin-Hsuan Wu, Kuan-Wei Lu, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai:
Robust 360-8PA: Redesigning The Normalized 8-point Algorithm for 360-FoV Images. CoRR abs/2104.10900 (2021) - [i34]Yi-Wen Chen, Yi-Hsuan Tsai, Ming-Hsuan Yang:
End-to-end Multi-modal Video Temporal Grounding. CoRR abs/2107.05624 (2021) - [i33]Zunzhi You, Yi-Hsuan Tsai, Wei-Chen Chiu, Guanbin Li:
Towards Interpretable Deep Networks for Monocular Depth Estimation. CoRR abs/2108.05312 (2021) - [i32]Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker:
Learning Cross-modal Contrastive Features for Video Domain Adaptation. CoRR abs/2108.11974 (2021) - [i31]Yufeng Wang, Yi-Hsuan Tsai, Wei-Chih Hung, Wenrui Ding, Shuo Liu, Ming-Hsuan Yang:
Semi-supervised Multi-task Learning for Semantics and Depth. CoRR abs/2110.07197 (2021) - [i30]Bolivar Solarte, Yueh-Cheng Liu, Chin-Hsuan Wu, Yi-Hsuan Tsai, Min Sun:
360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan Estimation. CoRR abs/2112.06180 (2021) - 2020
- [j4]Yi-Wen Chen, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang:
VOSTR: Video Object Segmentation via Transferable Representations. Int. J. Comput. Vis. 128(4): 931-949 (2020) - [j3]Xuhong Li, Yves Grandvalet, Franck Davoine, Jingchun Cheng, Yin Cui, Han Zhang, Serge J. Belongie, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Transfer learning in computer vision tasks: Remember where you come from. Image Vis. Comput. 93: 103853 (2020) - [c45]Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang:
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations. AAAI 2020: 12434-12441 - [c44]Hung-Yu Tseng, Yi-Wen Chen, Yi-Hsuan Tsai, Sifei Liu, Yen-Yu Lin, Ming-Hsuan Yang:
Regularizing Meta-learning via Gradient Dropout. ACCV (4) 2020: 218-234 - [c43]Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization. BMVC 2020 - [c42]Yen-Chung Chen, Keng-Jui Chang, Yi-Hsuan Tsai, Wei-Chen Chiu:
Boosting Image and Video Compression via Learning Latent Residual Patterns. BMVC 2020 - [c41]Shuyang Dai, Kihyuk Sohn, Yi-Hsuan Tsai, Lawrence Carin, Manmohan Chandraker:
Adaptation Across Extreme Variations using Unlabeled Bridges. BMVC 2020 - [c40]Fu-En Wang, Yu-Hsuan Yeh, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai:
BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion. CVPR 2020: 459-468 - [c39]Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Weakly-Supervised Semantic Segmentation via Sub-Category Exploration. CVPR 2020: 8988-8997 - [c38]Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Ying Wu:
Object Detection with a Unified Label Space from Multiple Datasets. ECCV (14) 2020: 178-193 - [c37]Chung-Sheng Lai, Zunzhi You, Chingchun Huang, Yi-Hsuan Tsai, Wei-Chen Chiu:
Colorization of Depth Map via Disentanglement. ECCV (7) 2020: 450-466 - [c36]Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker:
Domain Adaptive Semantic Segmentation Using Weak Labels. ECCV (9) 2020: 571-587 - [c35]Cheng-Chun Hsu, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang:
Every Pixel Matters: Center-Aware Feature Alignment for Domain Adaptive Object Detector. ECCV (9) 2020: 733-748 - [c34]Ning-Hsu Wang, Bolivar Solarte, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun:
360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume. ICRA 2020: 582-588 - [c33]Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker:
Active Adversarial Domain Adaptation. WACV 2020: 728-737 - [c32]Han-Kai Hsu, Chun-Han Yao, Yi-Hsuan Tsai, Wei-Chih Hung, Hung-Yu Tseng, Maneesh Kumar Singh, Ming-Hsuan Yang:
Progressive Domain Adaptation for Object Detection. WACV 2020: 738-746 - [c31]Weixiang Hong, Yu-Ting Chang, Haifang Qin, Wei-Chih Hung, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Image Hashing via Linear Discriminant Learning. WACV 2020: 2520-2528 - [i29]Fu-En Wang, Yu-Hsuan Yeh, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai:
LayoutMP3D: Layout Annotation of Matterport3D. CoRR abs/2003.13516 (2020) - [i28]Hung-Yu Tseng, Yi-Wen Chen, Yi-Hsuan Tsai, Sifei Liu, Yen-Yu Lin, Ming-Hsuan Yang:
Regularizing Meta-Learning via Gradient Dropout. CoRR abs/2004.05859 (2020) - [i27]Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker:
Domain Adaptive Semantic Segmentation Using Weak Labels. CoRR abs/2007.15176 (2020) - [i26]Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Weakly-Supervised Semantic Segmentation via Sub-category Exploration. CoRR abs/2008.01183 (2020) - [i25]Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization. CoRR abs/2008.01201 (2020) - [i24]Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Yu-Ting Chang, Yijun Li, Deng Cai, Ming-Hsuan Yang:
Learning to Caricature via Semantic Shape Transform. CoRR abs/2008.05090 (2020) - [i23]Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Ying Wu:
Object Detection with a Unified Label Space from Multiple Datasets. CoRR abs/2008.06614 (2020) - [i22]Cheng-Chun Hsu, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang:
Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector. CoRR abs/2008.08574 (2020) - [i21]Yuqing Zhu, Xiang Yu, Yi-Hsuan Tsai, Francesco Pittaluga, Masoud Faraki, Manmohan Chandraker, Yu-Xiang Wang:
Voting-based Approaches For Differentially Private Federated Learning. CoRR abs/2010.04851 (2020)
2010 – 2019
- 2019
- [j2]Chung Chang, Meng-Ke Hsieh, An-Jen Chiang, Yi-Hsuan Tsai, Chia-Chiung Liu, Jiabin Chen:
Methods for estimating the optimal number and location of cut points in multivariate survival analysis: a statistical solution to the controversial effect of BMI. Comput. Stat. 34(4): 1649-1674 (2019) - [c30]Yen-Chung Chen, Keng-Jui Chang, Yi-Hsuan Tsai, Yu-Chiang Frank Wang, Wei-Chen Chiu:
Guide Your Eyes: Learning Image Manipulation under Saliency Guidance. BMVC 2019: 197 - [c29]Haifang Qin, Weixiang Hong, Wei-Chih Hung, Yi-Hsuan Tsai, Ming-Hsuan Yang:
A Top-Down Unified Framework for Instance-level Human Parsing. BMVC 2019: 240 - [c28]Yi-Wen Chen, Yi-Hsuan Tsai, Tiantian Wang, Yen-Yu Lin, Ming-Hsuan Yang:
Referring Expression Object Segmentation with Caption-Aware Consistency. BMVC 2019: 263 - [c27]Yen-Chung Chen, Keng-Jui Chang, Yi-Hsuan Tsai, Wei-Chen Chiu:
Learning Patterns of Latent Residual for Improving Video Compression. CVPR Workshops 2019: 0 - [c26]Han-Kai Hsu, Wei-Chih Hung, Hung-Yu Tseng, Chun-Han Yao, Yi-Hsuan Tsai, Maneesh Singh, Ming-Hsuan Yang:
Progressive Domain Adaptation for Object Detection. CVPR Workshops 2019: 1-5 - [c25]Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker:
Active Adversarial Domain Adaptation. CVPR Workshops 2019: 1-4 - [c24]Hsueh-Ying Lai, Yi-Hsuan Tsai, Wei-Chen Chiu:
Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence. CVPR 2019: 1890-1899 - [c23]Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker:
Domain Adaptation for Structured Output via Discriminative Patch Representations. ICCV 2019: 1456-1465 - [c22]Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Deng Cai, Ming-Hsuan Yang:
Weakly-Supervised Caricature Face Parsing Through Domain Adaptation. ICIP 2019: 3282-3286 - [c21]Tsun-Hsuan Wang, Fu-En Wang, Juan-Ting Lin, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun:
Plug-and-Play: Improve Depth Prediction via Sparse Data Propagation. ICRA 2019: 5880-5886 - [c20]Tsun-Hsuan Wang, Hou-Ning Hu, Chieh Hubert Lin, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun:
3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization. IROS 2019: 5895-5902 - [i20]Yi-Wen Chen, Yi-Hsuan Tsai, Chu-Ya Yang, Yen-Yu Lin, Ming-Hsuan Yang:
Unseen Object Segmentation in Videos via Transferable Representations. CoRR abs/1901.02444 (2019) - [i19]Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker:
Domain Adaptation for Structured Output via Discriminative Patch Representations. CoRR abs/1901.05427 (2019) - [i18]Tsun-Hsuan Wang, Hou-Ning Hu, Chieh Hubert Lin, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun:
3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization. CoRR abs/1904.02917 (2019) - [i17]Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker:
Active Adversarial Domain Adaptation. CoRR abs/1904.07848 (2019) - [i16]Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Deng Cai, Ming-Hsuan Yang:
Weakly-supervised Caricature Face Parsing through Domain Adaptation. CoRR abs/1905.05091 (2019) - [i15]Hsueh-Ying Lai, Yi-Hsuan Tsai, Wei-Chen Chiu:
Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence. CoRR abs/1905.09265 (2019) - [i14]Shuyang Dai, Kihyuk Sohn, Yi-Hsuan Tsai, Lawrence Carin, Manmohan Chandraker:
Adaptation Across Extreme Variations using Unlabeled Domain Bridges. CoRR abs/1906.02238 (2019) - [i13]Yi-Wen Chen, Yi-Hsuan Tsai, Tiantian Wang, Yen-Yu Lin, Ming-Hsuan Yang:
Referring Expression Object Segmentation with Caption-Aware Consistency. CoRR abs/1910.04748 (2019) - [i12]Han-Kai Hsu, Chun-Han Yao, Yi-Hsuan Tsai, Wei-Chih Hung, Hung-Yu Tseng, Maneesh Singh, Ming-Hsuan Yang:
Progressive Domain Adaptation for Object Detection. CoRR abs/1910.11319 (2019) - [i11]Ning-Hsu Wang, Bolivar Solarte, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun:
360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume. CoRR abs/1911.04460 (2019) - [i10]Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang:
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations. CoRR abs/1911.10143 (2019) - 2018
- [c19]Yi-Hsuan Tsai, Ming-Yu Liu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz:
Learning Binary Residual Representations for Domain-Specific Video Streaming. AAAI 2018: 7363-7370 - [c18]Yi-Wen Chen, Yi-Hsuan Tsai, Chu-Ya Yang, Yen-Yu Lin, Ming-Hsuan Yang:
Unseen Object Segmentation in Videos via Transferable Representations. ACCV (4) 2018: 615-631 - [c17]Wei-Chih Hung, Yi-Hsuan Tsai, Yan-Ting Liou, Yen-Yu Lin, Ming-Hsuan Yang:
Adversarial Learning for Semi-supervised Semantic Segmentation. BMVC 2018: 65 - [c16]Jingchun Cheng, Yi-Hsuan Tsai, Wei-Chih Hung, Shengjin Wang, Ming-Hsuan Yang:
Fast and Accurate Online Video Object Segmentation via Tracking Parts. CVPR 2018: 7415-7424 - [c15]Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker:
Learning to Adapt Structured Output Space for Semantic Segmentation. CVPR 2018: 7472-7481 - [c14]Guangyu Zhong, Yi-Hsuan Tsai, Sifei Liu, Zhixun Su, Ming-Hsuan Yang:
Learning Video-Story Composition via Recurrent Neural Network. WACV 2018: 1727-1735 - [i9]Guangyu Zhong, Yi-Hsuan Tsai, Sifei Liu, Zhixun Su, Ming-Hsuan Yang:
Learning Video-Story Composition via Recurrent Neural Network. CoRR abs/1801.10281 (2018) - [i8]Wei-Chih Hung, Yi-Hsuan Tsai, Yan-Ting Liou, Yen-Yu Lin, Ming-Hsuan Yang:
Adversarial Learning for Semi-Supervised Semantic Segmentation. CoRR abs/1802.07934 (2018) - [i7]Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker:
Learning to Adapt Structured Output Space for Semantic Segmentation. CoRR abs/1802.10349 (2018) - [i6]Jingchun Cheng, Yi-Hsuan Tsai, Wei-Chih Hung, Shengjin Wang, Ming-Hsuan Yang:
Fast and Accurate Online Video Object Segmentation via Tracking Parts. CoRR abs/1806.02323 (2018) - 2017
- [b1]Yi-Hsuan Tsai:
Semantic-guided Visual Analysis and Synthesis with Spatio-temporal Models. University of California, Merced, USA, 2017 - [c13]Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, Ming-Hsuan Yang:
Deep Image Harmonization. CVPR 2017: 2799-2807 - [c12]Jingchun Cheng, Yi-Hsuan Tsai, Shengjin Wang, Ming-Hsuan Yang:
SegFlow: Joint Learning for Video Object Segmentation and Optical Flow. ICCV 2017: 686-695 - [c11]Wei-Chih Hung, Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, Ming-Hsuan Yang:
Scene Parsing with Global Context Embedding. ICCV 2017: 2650-2658 - [c10]Han-Kai Hsu, Yi-Hsuan Tsai, Xue Mei, Kuan-Hui Lee, Naoki Nagasaka, Danil V. Prokhorov, Ming-Hsuan Yang:
Learning to tell brake and turn signals in videos using CNN-LSTM structure. ITSC 2017: 1-6 - [i5]Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, Ming-Hsuan Yang:
Deep Image Harmonization. CoRR abs/1703.00069 (2017) - [i4]Jingchun Cheng, Sifei Liu, Yi-Hsuan Tsai, Wei-Chih Hung, Shalini De Mello, Jinwei Gu, Jan Kautz, Shengjin Wang, Ming-Hsuan Yang:
Learning to Segment Instances in Videos with Spatial Propagation Network. CoRR abs/1709.04609 (2017) - [i3]Jingchun Cheng, Yi-Hsuan Tsai, Shengjin Wang, Ming-Hsuan Yang:
SegFlow: Joint Learning for Video Object Segmentation and Optical Flow. CoRR abs/1709.06750 (2017) - [i2]Wei-Chih Hung, Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, Ming-Hsuan Yang:
Scene Parsing with Global Context Embedding. CoRR abs/1710.06507 (2017) - [i1]Yi-Hsuan Tsai, Ming-Yu Liu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz:
Learning Binary Residual Representations for Domain-specific Video Streaming. CoRR abs/1712.05087 (2017) - 2016
- [j1]Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Ming-Hsuan Yang:
Sky is not the limit: semantic-aware sky replacement. ACM Trans. Graph. 35(4): 149:1-149:11 (2016) - [c9]Guangyu Zhong, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Weakly-Supervised Video Scene Co-parsing. ACCV (1) 2016: 20-36 - [c8]Yi-Hsuan Tsai, Ming-Hsuan Yang, Michael J. Black:
Video Segmentation via Object Flow. CVPR 2016: 3899-3908 - [c7]Yi-Hsuan Tsai, Guangyu Zhong, Ming-Hsuan Yang:
Semantic Co-segmentation in Videos. ECCV (4) 2016: 760-775 - [c6]Guangyu Zhong, Yi-Hsuan Tsai, Yi-Ting Chen, Xue Mei, Danil V. Prokhorov, Michael James, Ming-Hsuan Yang:
Learning to tell brake lights with convolutional features. ITSC 2016: 1558-1563 - 2015
- [c5]Yi-Hsuan Tsai, Onur C. Hamsici, Ming-Hsuan Yang:
Adaptive region pooling for object detection. CVPR 2015: 731-739 - 2014
- [c4]Yi-Hsuan Tsai, Yi-Tsen Lin, Szu Yang Cho, Chun-Meng Cheng, Neng-Hao Yu, Hsien-Hui Tang:
HearMe: assisting the visually impaired to record vibrant moments of everyday life. CCHI 2014: 66-69 - [c3]Yi-Hsuan Tsai, Ming-Hsuan Yang:
Locality preserving hashing. ICIP 2014: 2988-2992 - 2013
- [c2]Yi-Hsuan Tsai, Jimei Yang, Ming-Hsuan Yang:
Decomposed Learning for Joint Segmentation and Categorization. BMVC 2013 - [c1]Jimei Yang, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Exemplar Cut. ICCV 2013: 857-864
Coauthor Index
Manmohan Krishna Chandraker
aka: Manmohan Chandraker
aka: Manmohan Chandraker
Walon Wei-Chen Chiu
aka: Wei-Chen Chiu
aka: Wei-Chen Chiu
[c74] [c73] [c71] [c70] [i61] [i60] [i57] [c67] [c66] [i53] [i52] [i51] [i49] [i48] [i47] [j7] [c64] [c54] [i39] [j5] [c47] [i36] [i34] [i31] [j4] [j3] [c45] [c44] [c43] [c39] [c35] [c32] [c31] [i28] [i26] [i25] [i24] [i22] [c29] [c28] [c26] [c22] [i20] [i16] [i13] [i12] [i10] [c19] [c18] [c17] [c16] [c15] [c14] [i9] [i8] [i7] [i6] [c13] [c12] [c11] [c10] [i5] [i4] [i3] [i2] [i1] [j1] [c9] [c8] [c7] [c6] [c5] [c3] [c2] [c1]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-05-24 01:05 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
