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2020 – today
- 2024
[i57]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)- [i56]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) - [i55]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) - 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 L. 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]