Yi-Hsuan Tsai

Orcid: 0000-0002-6191-0134

According to our database1, Yi-Hsuan Tsai authored at least 85 papers between 2013 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
BiFuse++: Self-Supervised and Efficient Bi-Projection Fusion for 360° Depth Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection.
CoRR, 2023

Weakly Supervised 3D Object Detection via Multi-Level Visual Guidance.
CoRR, 2023

Action-slot: Visual Action-centric Representations for Multi-label Atomic Activity Recognition in Traffic Scenes.
CoRR, 2023

Text-Driven Image Editing via Learnable Regions.
CoRR, 2023

Text-driven Editing of 3D Scenes without Retraining.
CoRR, 2023

Data Efficient Incremental Learning via Attentive Knowledge Replay.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Delving into Motion-Aware Matching for Monocular 3D Object Tracking.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multimodal Prompting with Missing Modalities for Visual Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan Estimation.
IEEE Robotics Autom. Lett., 2022

Understanding Synonymous Referring Expressions via Contrastive Features.
Int. J. Comput. Vis., 2022

Semi-supervised Multi-task Learning for Semantics and Depth.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Intelligent DNA methylation biomarker selection for colorectal cancer.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Self-Supervised Feature Learning from Partial Point Clouds via Pose Disentanglement.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

3D-PL: Domain Adaptive Depth Estimation with 3D-Aware Pseudo-Labeling.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Phase Mask for Privacy-Preserving Passive Depth Estimation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Semantic Segmentation from Multiple Datasets with Label Shifts.
Proceedings of the Computer Vision - ECCV 2022, 2022

On Generalizing Beyond Domains in Cross-Domain Continual Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning to Learn across Diverse Data Biases in Deep Face Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Object-level Point Augmentor for Semi-supervised 3D Object Detection.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Learning to Caricature via Semantic Shape Transform.
Int. J. Comput. Vis., 2021

LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering.
CoRR, 2021

Dual-Stream Fusion Network for Spatiotemporal Video Super-Resolution.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

End-to-end Multi-modal Video Temporal Grounding.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust 360-8PA: Redesigning The Normalized 8-point Algorithm for 360-FoV Images.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Towards Interpretable Deep Networks for Monocular Depth Estimation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Cross-Modal Contrastive Features for Video Domain Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

LED2-Net: Monocular 360deg Layout Estimation via Differentiable Depth Rendering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Cross-Domain Similarity Learning for Face Recognition in Unseen Domains.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning to Hide Residual for Boosting Image Compression.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Transfer learning in computer vision tasks: Remember where you come from.
Image Vis. Comput., 2020

VOSTR: Video Object Segmentation via Transferable Representations.
Int. J. Comput. Vis., 2020

Voting-based Approaches For Differentially Private Federated Learning.
CoRR, 2020

LayoutMP3D: Layout Annotation of Matterport3D.
CoRR, 2020

Image Hashing via Linear Discriminant Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Object Detection with a Unified Label Space from Multiple Datasets.
Proceedings of the Computer Vision - ECCV 2020, 2020

Domain Adaptive Semantic Segmentation Using Weak Labels.
Proceedings of the Computer Vision - ECCV 2020, 2020

Colorization of Depth Map via Disentanglement.
Proceedings of the Computer Vision - ECCV 2020, 2020

Every Pixel Matters: Center-Aware Feature Alignment for Domain Adaptive Object Detector.
Proceedings of the Computer Vision - ECCV 2020, 2020

BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Weakly-Supervised Semantic Segmentation via Sub-Category Exploration.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Adaptation Across Extreme Variations using Unlabeled Bridges.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

Boosting Image and Video Compression via Learning Latent Residual Patterns.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

Regularizing Meta-learning via Gradient Dropout.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Adversarial Learning of Privacy-Preserving and Task-Oriented Representations.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
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., 2019

Adaptation Across Extreme Variations using Unlabeled Domain Bridges.
CoRR, 2019

3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Plug-and-Play: Improve Depth Prediction via Sparse Data Propagation.
Proceedings of the International Conference on Robotics and Automation, 2019

Weakly-Supervised Caricature Face Parsing Through Domain Adaptation.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Domain Adaptation for Structured Output via Discriminative Patch Representations.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Active Adversarial Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Progressive Domain Adaptation for Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Learning Patterns of Latent Residual for Improving Video Compression.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

A Top-Down Unified Framework for Instance-level Human Parsing.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

Referring Expression Object Segmentation with Caption-Aware Consistency.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

Guide Your Eyes: Learning Image Manipulation under Saliency Guidance.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Learning Video-Story Composition via Recurrent Neural Network.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Learning to Adapt Structured Output Space for Semantic Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Fast and Accurate Online Video Object Segmentation via Tracking Parts.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Adversarial Learning for Semi-supervised Semantic Segmentation.
Proceedings of the British Machine Vision Conference 2018, 2018

Unseen Object Segmentation in Videos via Transferable Representations.
Proceedings of the Computer Vision - ACCV 2018, 2018

Learning Binary Residual Representations for Domain-Specific Video Streaming.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Semantic-guided Visual Analysis and Synthesis with Spatio-temporal Models.
PhD thesis, 2017

Learning to Segment Instances in Videos with Spatial Propagation Network.
CoRR, 2017

Learning to tell brake and turn signals in videos using CNN-LSTM structure.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Scene Parsing with Global Context Embedding.
Proceedings of the IEEE International Conference on Computer Vision, 2017

SegFlow: Joint Learning for Video Object Segmentation and Optical Flow.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Deep Image Harmonization.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Sky is not the limit: semantic-aware sky replacement.
ACM Trans. Graph., 2016

Learning to tell brake lights with convolutional features.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Semantic Co-segmentation in Videos.
Proceedings of the Computer Vision - ECCV 2016, 2016

Video Segmentation via Object Flow.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Weakly-Supervised Video Scene Co-parsing.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
Adaptive region pooling for object detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Locality preserving hashing.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

HearMe: assisting the visually impaired to record vibrant moments of everyday life.
Proceedings of the Second International Symposium of Chinese CHI, 2014

2013
Exemplar Cut.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Decomposed Learning for Joint Segmentation and Categorization.
Proceedings of the British Machine Vision Conference, 2013


  Loading...