Walon Wei-Chen Chiu

Orcid: 0000-0001-7715-8306

According to our database1, Walon Wei-Chen Chiu authored at least 92 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Improving Robustness for Joint Optimization of Camera Poses and Decomposed Low-Rank Tensorial Radiance Fields.
CoRR, 2024

Best of Both Worlds: Learning Arbitrary-scale Blind Super-Resolution via Dual Degradation Representations and Cycle-Consistency.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Improving Robustness for Joint Optimization of Camera Pose and Decomposed Low-Rank Tensorial Radiance Fields.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors.
CoRR, 2023

Skin the sheep not only once: Reusing Various Depth Datasets to Drive the Learning of Optical Flow.
CoRR, 2023

Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts.
CoRR, 2023

Adaptively-Realistic Image Generation from Stroke and Sketch with Diffusion Model.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Mitigating Forgetting in Continual Learning via Contrasting Semantically Distinct Augmentations.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

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

Continually-Adapted Margin and Multi-Anchor Distillation for Class-Incremental Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

MENTOR: Multilingual Text Detection Toward Learning by Analogy.
IROS, 2023

Transformer-Based Variable-Rate Image Compression with Region-of-Interest Control.
Proceedings of the IEEE International Conference on Image Processing, 2023

TransTIC: Transferring Transformer-based Image Compression from Human Perception to Machine Perception.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RLMD: A Dataset for Road Marking Segmentation.
Proceedings of the International Conference on Consumer Electronics - Taiwan, 2023

Decontamination Transformer For Blind Image Inpainting.
Proceedings of the IEEE International Conference on Acoustics, 2023

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

Are You Killing Time? Predicting Smartphone Users' Time-killing Moments via Fusion of Smartphone Sensor Data and Screenshots.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Transformer-based Image Compression with Variable Image Quality Objectives.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

Scalable Spatial Memory for Scene Rendering and Navigation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Mitigating Forgetting in Online Continual Learning via Contrasting Semantically Distinct Augmentations.
CoRR, 2022

Stylizing 3D Scene via Implicit Representation and HyperNetwork.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis.
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

Improving Single-View Mesh Reconstruction for Unseen Categories via Primitive-Based Representation and Mesh Augmentation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

RPG: Learning Recursive Point Cloud Generation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

MAML is a Noisy Contrastive Learner in Classification.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Find The Way Back: Invertible Kernel Estimator For Blind Image Super-Resolution.
Proceedings of the IEEE International Conference on Acoustics, 2022

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

Vector Quantized Image-to-Image Translation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
MAML is a Noisy Contrastive Learner.
CoRR, 2021

RPG: Learning Recursive Point Cloud Generation.
CoRR, 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

Single Image Reflection Removal with Edge Guidance, Reflection Classifier, and Recurrent Decomposition.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

An unsupervised video game playstyle metric via state discretization.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Boosting Semi-Supervised Anomaly Detection via Contrasting Synthetic Images.
Proceedings of the 17th International Conference on Machine Vision and Applications, 2021

Demystifying T1-MRI to FDG<sup>18</sup>-PET Image Translation via Representational Similarity.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 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

Inverse Halftone Colorization: Making Halftone Prints Color Photos.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

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

Learning Facial Representations from the Cycle-consistency of Face.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Domain Adaptation for Learning Generator From Paired Few-Shot Data.
Proceedings of the IEEE International Conference on Acoustics, 2021

Killing-Time Detection from Smartphone Screenshots.
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

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

Bridging the Visual Gap: Wide-Range Image Blending.
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
Static2Dynamic: Video Inference From a Deep Glimpse.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

Spectral Analysis for Semantic Segmentation with Applications on Feature Truncation and Weak Annotation.
CoRR, 2020

Benefiting Deep Latent Variable Models via Learning the Prior and Removing Latent Regularization.
CoRR, 2020

Variational Autoencoders with Normalizing Flow Decoders.
CoRR, 2020

LayoutMP3D: Layout Annotation of Matterport3D.
CoRR, 2020

Self-Contained Stylization via Steganography for Reverse and Serial Style Transfer.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Timbre-enhanced Multi-modal Music Style Transfer with Domain Balance Loss.
Proceedings of the International Conference on Technologies and Applications of Artificial Intelligence, 2020

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

Learning Face Recognition Unsupervisedly by Disentanglement and Self-Augmentation.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

DEN: Disentangling and Exchanging Network for Depth Completion.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Learning Low-Shot Generative Networks for Cross-Domain Data.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Real-time Monocular Depth Estimation with Extremely Light-Weight Neural Network.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Using gamification to create and label photos that are challenging for computer vision and people.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

Colorization of Depth Map via Disentanglement.
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

Time Flies: Animating a Still Image With Time-Lapse Video As Reference.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Class-Incremental Learning with Rectified Feature-Graph Preservation.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

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

Learning Pose-aware 3D Reconstruction via 2D-3D Self-consistency.
Proceedings of the IEEE International Conference on Acoustics, 2019

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

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

All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

2018
Self-Contained Stylization via Steganography for Reverse and Serial Style Transfer.
CoRR, 2018

Summarizing First-Person Videos from Third Persons' Points of Views.
Proceedings of the Computer Vision - ECCV 2018, 2018

Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
For Your Eyes Only: Learning to Summarize First-Person Videos.
CoRR, 2017

Learning Cross-Domain Disentangled Deep Representation with Supervision from A Single Domain.
CoRR, 2017

Domain-Adaptive generative adversarial networks for sketch-to-photo inversion.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Learning guided convolutional neural networks for cross-resolution face recognition.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Bayesian non-parametrics for multi-modal segmentation.
PhD thesis, 2016

RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling.
CoRR, 2016

Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
Joint segmentation and activity discovery using semantic and temporal priors.
Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communications, 2015

See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Object Disambiguation for Augmented Reality Applications.
Proceedings of the British Machine Vision Conference, 2014

2013
Multi-class Video Co-segmentation with a Generative Multi-video Model.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2011
I spy with my little eye: Learning optimal filters for cross-modal stereo under projected patterns.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Improving the Kinect by Cross-Modal Stereo.
Proceedings of the British Machine Vision Conference, 2011

2010
Probabilistic Modeling of Dynamic Traffic Flow across Non-overlapping Camera Views.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2007
Robust Parking Space Detection Considering Inter-Space Correlation.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007


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