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Voting-based Approaches For Differentially Private Federated Learning

Oct 09, 2020
Yuqing Zhu, Xiang Yu, Yi-Hsuan Tsai, Francesco Pittaluga, Masoud Faraki, Manmohan chandraker, Yu-Xiang Wang


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Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector

Aug 19, 2020
Cheng-Chun Hsu, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang

* Accepted in ECCV'20. Project page: https://chengchunhsu.github.io/EveryPixelMatters/ 

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Object Detection with a Unified Label Space from Multiple Datasets

Aug 15, 2020
Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Ying Wu

* To appear in ECCV 2020, project page http://www.nec-labs.com/~mas/UniDet/ 

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Learning to Caricature via Semantic Shape Transform

Aug 13, 2020
Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Yu-Ting Chang, Yijun Li, Deng Cai, Ming-Hsuan Yang

* Submitted to IJCV, code and model are available at https://github.com/wenqingchu/Semantic-CariGANs/ 

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Domain Adaptive Semantic Segmentation Using Weak Labels

Aug 12, 2020
Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker

* ECCV 2020 

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Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization

Aug 03, 2020
Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang

* Accepted at BMVC 2020 

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Weakly-Supervised Semantic Segmentation via Sub-category Exploration

Aug 03, 2020
Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang

* Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020 

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Regularizing Meta-Learning via Gradient Dropout

Apr 13, 2020
Hung-Yu Tseng, Yi-Wen Chen, Yi-Hsuan Tsai, Sifei Liu, Yen-Yu Lin, Ming-Hsuan Yang

* Code: https://github.com/hytseng0509/DropGrad 

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LayoutMP3D: Layout Annotation of Matterport3D

Mar 30, 2020
Fu-En Wang, Yu-Hsuan Yeh, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai

* Annotation is available at https://github.com/fuenwang/LayoutMP3D 

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Adversarial Learning of Privacy-Preserving and Task-Oriented Representations

Nov 22, 2019
Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang

* AAAI 2020 

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360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume

Nov 11, 2019
Ning-Hsu Wang, Bolivar Solarte, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun

* Project page and code are at https://albert100121.github.io/360SD-Net-Project-Page 

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Progressive Domain Adaptation for Object Detection

Oct 24, 2019
Han-Kai Hsu, Chun-Han Yao, Yi-Hsuan Tsai, Wei-Chih Hung, Hung-Yu Tseng, Maneesh Singh, Ming-Hsuan Yang

* Accepted in WACV'20. Code and models will be available at https://github.com/kevinhkhsu/DA_detection 

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Referring Expression Object Segmentation with Caption-Aware Consistency

Oct 10, 2019
Yi-Wen Chen, Yi-Hsuan Tsai, Tiantian Wang, Yen-Yu Lin, Ming-Hsuan Yang

* Accepted in BMVC'19, project page at https://github.com/wenz116/lang2seg 

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Adaptation Across Extreme Variations using Unlabeled Domain Bridges

Jun 05, 2019
Shuyang Dai, Kihyuk Sohn, Yi-Hsuan Tsai, Lawrence Carin, Manmohan Chandraker


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Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence

May 22, 2019
Hsueh-Ying Lai, Yi-Hsuan Tsai, Wei-Chen Chiu

* Accepted in CVPR'19. Code and model are available at: https://github.com/lelimite4444/BridgeDepthFlow 

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Weakly-supervised Caricature Face Parsing through Domain Adaptation

May 13, 2019
Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Deng Cai, Ming-Hsuan Yang

* Accepted in ICIP 2019, code and model are available at https://github.com/ZJULearning/CariFaceParsing 

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Active Adversarial Domain Adaptation

Apr 16, 2019
Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker


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3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization

Apr 05, 2019
Tsun-Hsuan Wang, Hou-Ning Hu, Chieh Hubert Lin, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun

* ver.1 

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Domain Adaptation for Structured Output via Discriminative Patch Representations

Jan 17, 2019
Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker


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Unseen Object Segmentation in Videos via Transferable Representations

Jan 08, 2019
Yi-Wen Chen, Yi-Hsuan Tsai, Chu-Ya Yang, Yen-Yu Lin, Ming-Hsuan Yang

* Accepted in ACCV'18 (oral). Code is available at https://github.com/wenz116/TransferSeg 

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Adversarial Learning for Semi-Supervised Semantic Segmentation

Jul 24, 2018
Wei-Chih Hung, Yi-Hsuan Tsai, Yan-Ting Liou, Yen-Yu Lin, Ming-Hsuan Yang

* Accepted in BMVC 2018. Code and models available at https://github.com/hfslyc/AdvSemiSeg 

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Fast and Accurate Online Video Object Segmentation via Tracking Parts

Jun 06, 2018
Jingchun Cheng, Yi-Hsuan Tsai, Wei-Chih Hung, Shengjin Wang, Ming-Hsuan Yang

* Accepted in CVPR'18 as Spotlight. Code and model are available at https://github.com/JingchunCheng/FAVOS 

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Learning to Adapt Structured Output Space for Semantic Segmentation

Feb 28, 2018
Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker

* Accepted in CVPR'18. Code and model are available at https://github.com/wasidennis/AdaptSegNet 

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Learning Video-Story Composition via Recurrent Neural Network

Jan 31, 2018
Guangyu Zhong, Yi-Hsuan Tsai, Sifei Liu, Zhixun Su, Ming-Hsuan Yang


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Learning Binary Residual Representations for Domain-specific Video Streaming

Dec 14, 2017
Yi-Hsuan Tsai, Ming-Yu Liu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz

* Accepted in AAAI'18. Project website at https://research.nvidia.com/publication/2018-02_Learning-Binary-Residual 

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Scene Parsing with Global Context Embedding

Oct 20, 2017
Wei-Chih Hung, Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, Ming-Hsuan Yang

* Accepted in ICCV'17. Code available at https://github.com/hfslyc/GCPNet 

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SegFlow: Joint Learning for Video Object Segmentation and Optical Flow

Sep 20, 2017
Jingchun Cheng, Yi-Hsuan Tsai, Shengjin Wang, Ming-Hsuan Yang

* Accepted in ICCV'17. Code is available at https://sites.google.com/site/yihsuantsai/research/iccv17-segflow 

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Learning to Segment Instances in Videos with Spatial Propagation Network

Sep 14, 2017
Jingchun Cheng, Sifei Liu, Yi-Hsuan Tsai, Wei-Chih Hung, Shalini De Mello, Jinwei Gu, Jan Kautz, Shengjin Wang, Ming-Hsuan Yang

* CVPR 2017 Workshop on DAVIS Challenge. Code is available at http://github.com/JingchunCheng/Seg-with-SPN 

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