Yi-Hsuan Tsai

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 128

Top Venues

University of California, Merced, USA (PHD)

Education History

University of California, Merced, USA

PHD

Publications

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 (2024)
Weijie Lyu, Xueting Li, Abhijit Kundu, Yi-Hsuan Tsai, Ming-Hsuan Yang
Gaga: Group Any Gaussians via 3D-aware Memory Bank. CoRR (2024)
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 (2024)
Yi-Lun Lee, Yi-Hsuan Tsai, Wei-Chen Chiu, Chen-Yu Lee
Multimodal Prompting with Missing Modalities for Visual Recognition. CoRR (2023)
Kuan-Chih Huang, Ming-Hsuan Yang, Yi-Hsuan Tsai
Delving into Motion-Aware Matching for Monocular 3D Object Tracking. CoRR (2023)
Kuan-Chih Huang, Weijie Lyu, Ming-Hsuan Yang, Yi-Hsuan Tsai
PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection. CoRR (2023)
Kuan-Chih Huang, Ming-Hsuan Yang, Yi-Hsuan Tsai
Delving into Motion-Aware Matching for Monocular 3D Object Tracking. ICCV (2023)
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) (2023)
Kuan-Chih Huang, Yi-Hsuan Tsai, Ming-Hsuan Yang
Weakly Supervised 3D Object Detection via Multi-Level Visual Guidance. CoRR (2023)
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 (2023)
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)
Yuanze Lin, Yi-Wen Chen, Yi-Hsuan Tsai, Lu Jiang, Ming-Hsuan Yang
Text-Driven Image Editing via Learnable Regions. CoRR (2023)
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 (2023)
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)
Yi-Lun Lee, Yi-Hsuan Tsai, Wei-Chen Chiu, Chen-Yu Lee
Multimodal Prompting with Missing Modalities for Visual Recognition. CVPR (2023)
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 (2023)
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) (2022)
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)
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 (2022)
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)
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)
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 (2022)
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)
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)
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 (2022)
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)
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)
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 (2022)
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)
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)
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 (2022)
Meng-Shiun Tsai, Pei-Ze Chiang, Yi-Hsuan Tsai, Wei-Chen Chiu
Self-Supervised Feature Learning from Partial Point Clouds via Pose Disentanglement. CoRR (2022)
Yu-Ting Yen, Chia-Ni Lu, Wei-Chen Chiu, Yi-Hsuan Tsai
3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling. CoRR (2022)
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)
Yi-Wen Chen, Yi-Hsuan Tsai, Ming-Hsuan Yang
Understanding Synonymous Referring Expressions via Contrastive Features. Int. J. Comput. Vis. 130 (10) (2022)
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 (2022)
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)
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 (2021)
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 (2021)
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)
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)
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 (2021)
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)
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)
Zunzhi You, Yi-Hsuan Tsai, Wei-Chen Chiu, Guanbin Li
Towards Interpretable Deep Networks for Monocular Depth Estimation. CoRR (2021)
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) (2021)
Zunzhi You, Yi-Hsuan Tsai, Wei-Chen Chiu, Guanbin Li
Towards Interpretable Deep Networks for Monocular Depth Estimation. ICCV (2021)
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 (2021)
Yi-Wen Chen, Yi-Hsuan Tsai, Ming-Hsuan Yang
End-to-end Multi-modal Video Temporal Grounding. NeurIPS (2021)
Yi-Wen Chen, Yi-Hsuan Tsai, Ming-Hsuan Yang
End-to-end Multi-modal Video Temporal Grounding. CoRR (2021)
Yi-Wen Chen, Yi-Hsuan Tsai, Ming-Hsuan Yang
Understanding Synonymous Referring Expressions via Contrastive Features. CoRR (2021)
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)
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 (2021)
Masoud Faraki, Xiang Yu, Yi-Hsuan Tsai, Yumin Suh, Manmohan Chandraker
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains. CVPR (2021)
Masoud Faraki, Xiang Yu, Yi-Hsuan Tsai, Yumin Suh, Manmohan Chandraker
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains. CoRR (2021)
Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker
Active Adversarial Domain Adaptation. WACV (2020)
Weixiang Hong, Yu-Ting Chang, Haifang Qin, Wei-Chih Hung, Yi-Hsuan Tsai, Ming-Hsuan Yang
Image Hashing via Linear Discriminant Learning. WACV (2020)
Yen-Chung Chen, Keng-Jui Chang, Yi-Hsuan Tsai, Wei-Chen Chiu
Boosting Image and Video Compression via Learning Latent Residual Patterns. BMVC (2020)
Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations. AAAI (2020)
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 (2020)
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)
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 (2020)
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)
Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker
Domain Adaptive Semantic Segmentation Using Weak Labels. CoRR (2020)
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) (2020)
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)
Fu-En Wang, Yu-Hsuan Yeh, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai
LayoutMP3D: Layout Annotation of Matterport3D. CoRR (2020)
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)
Shuyang Dai, Kihyuk Sohn, Yi-Hsuan Tsai, Lawrence Carin, Manmohan Chandraker
Adaptation Across Extreme Variations using Unlabeled Bridges. BMVC (2020)
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)
Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Ying Wu
Object Detection with a Unified Label Space from Multiple Datasets. CoRR (2020)
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)
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 (2020)
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 (2020)
Hung-Yu Tseng, Yi-Wen Chen, Yi-Hsuan Tsai, Sifei Liu, Yen-Yu Lin, Ming-Hsuan Yang
Regularizing Meta-Learning via Gradient Dropout. CoRR (2020)
Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker
Domain Adaptive Semantic Segmentation Using Weak Labels. ECCV (9) (2020)
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)
Chung-Sheng Lai, Zunzhi You, Chingchun Huang, Yi-Hsuan Tsai, Wei-Chen Chiu
Colorization of Depth Map via Disentanglement. ECCV (7) (2020)
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)
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 (2020)
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 (2020)
Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker
Domain Adaptation for Structured Output via Discriminative Patch Representations. CoRR (2019)
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)
Yi-Wen Chen, Yi-Hsuan Tsai, Chu-Ya Yang, Yen-Yu Lin, Ming-Hsuan Yang
Unseen Object Segmentation in Videos via Transferable Representations. CoRR (2019)
Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker
Domain Adaptation for Structured Output via Discriminative Patch Representations. ICCV (2019)
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)
Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Deng Cai, Ming-Hsuan Yang
Weakly-Supervised Caricature Face Parsing Through Domain Adaptation. ICIP (2019)
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)
Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations. CoRR (2019)
Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Deng Cai, Ming-Hsuan Yang
Weakly-supervised Caricature Face Parsing through Domain Adaptation. CoRR (2019)
Yen-Chung Chen, Keng-Jui Chang, Yi-Hsuan Tsai, Wei-Chen Chiu
Learning Patterns of Latent Residual for Improving Video Compression. CVPR Workshops (2019)
Hsueh-Ying Lai, Yi-Hsuan Tsai, Wei-Chen Chiu
Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence. CoRR (2019)
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)
Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker
Active Adversarial Domain Adaptation. CVPR Workshops (2019)
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) (2019)
Yi-Wen Chen, Yi-Hsuan Tsai, Tiantian Wang, Yen-Yu Lin, Ming-Hsuan Yang
Referring Expression Object Segmentation with Caption-Aware Consistency. CoRR (2019)
Hsueh-Ying Lai, Yi-Hsuan Tsai, Wei-Chen Chiu
Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence. CVPR (2019)
Ning-Hsu Wang, Bolivar Solarte, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun
360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume. CoRR (2019)
Yi-Wen Chen, Yi-Hsuan Tsai, Tiantian Wang, Yen-Yu Lin, Ming-Hsuan Yang
Referring Expression Object Segmentation with Caption-Aware Consistency. BMVC (2019)
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 (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yi-Hsuan Tsai