Frank S Chen Junior Chair Professor
cacaFly Junior Chair Professor

Doctor of Engineering Science (Dr.-Ing.)
Max Planck Institute for Informatics

walon [at] cs [dot] nctu [dot] edu [dot] tw
walon [dot] chiu [at] gmail [dot] com

Curriculum Vitae

Google Scholar

[Office] Room 526, Engineering Building C, Guangfu Campus, NCTU
[Telephone] +886-3-5712121 ext.54730

Information about my research group:
[Name] Enriched Vision Applications Lab
[Location] Room 548, Engineering Building C, Guangfu Campus, NCTU




News

Education



Academic and Working Experience

Full Professor in Computer Science,
National Yang Ming Chiao Tung University

[from February.2024 - present]


Scientific Advisors,
ASUS Intelligent Cloud Services (AICS)

[from November.2022 - November.2024]


Joint Appointment Research Fellow,
Mechanical and Mechatronics Systems Lab,
Industrial Technology Research Institute, Taiwan

[from May.2021 - May.2024]

Associate Professor in Computer Science,
National Chiao Tung University

[from August.2020 - January.2024]


Consultant,
Viscovery Pte. Ltd., Taipei, Taiwan

[April.2019 - September.2019]


Assistant Professor in Computer Science,
National Chiao Tung University

[from August.2017 - July.2020]



Computer Vision Research Scientist,
Viscovery Pte. Ltd., Taipei, Taiwan

[August.2016 - January.2017]



Image Processing Engineer,
Largan Precision Co. Ltd., Taichung, Taiwan

[October.2010 - December.2010]


Corporal (Compulsory),
43 Artillery Command, 8th Army Corps, R.O.C Army, Taiwan

[October.2009 - September.2010]


Internship,
Advanced Technology Center,
Industrial Technology Research Institute, Taiwan

[June.2007 - December.2007]

Research Domains



Computer Vision
Machine Learning

My research interests lie in the broad field of computer vision and its combination with various machine learning algorithms. Especially, with the magic leap on improving the model capacities brought by the recent renaissance of deep learning techniques, I focus on applying deep-learning-based models on learning the visual perception, discovering the semantic representations and modelling the underlying generative procedure of visual data, and performing image/video editing or synthesis.

Publications

teaser figure

Boosting Diffusion Guidance via Learning Degradation-Aware Models for Blind Super Resolution

Shao-Hao Lu, Ren Wang, Ching-Chun Huang, Wei-Chen Chiu

[WACV 2025 (BibTeX)]

teaser figure

T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition

Chen Yeh*, You-Ming Chang*, Wei-Chen Chiu, Ning Yu

(* indicates equal contribution.)

[NeurIPS 2024 Datasets and Benchmarks Track (BibTeX)] [Project Page]

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A Recipe for CAC: Mosaic-based Generalized Loss for Improved Class-Agnostic Counting

Tsung-Han Chou, Brian Wang, Wei-Chen Chiu, Jun-Cheng Chen

[ACCV 2024 (BibTeX)]

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Best of Both Sides: Integration of Absolute and Relative Depth Sensing Modalities Based on iToF and RGB Cameras

I-Sheng Fang, Wei-Chen Chiu, Yong-Sheng Chen

[ICPR 2024 (BibTeX)] [Supplementary Materials]

teaser figure

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

Sheng-Chi Huang and Wei-Chen Chiu

[IROS 2024 (BibTeX)] [Project Page] [Supplementary Materials]

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Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts

Zhi-Yi Chin*, Chieh-Ming Jiang*, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu

(* indicates equal contribution.)

[ICML 2024 (BibTeX)] [ArXiv 2023] [Project Page]

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MCPNet:An Interpretable Classifier via Multi-Level Concept Prototypes

Bor-Shiun Wang, Chien-Yi Wang, Wei-Chen Chiu

[CVPR 2024 (BibTeX)] [Project Page] [Supplementary Materials]

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

Bo-Yu Cheng, Wei-Chen Chiu, Yu-Lun Liu

[AAAI 2024 (BibTeX)] [Project Page] [Supplementary Materials]
(one of the selected papers in Daily Papers 2024-02-21 from Hugging Face)

teaser figure

Best of Both Worlds: Learning Arbitrary-scale Blind Super-Resolution via Dual Degradation Representations and Cycle-Consistency

Shao-Yu Weng, Hsuan Yuan, Yu-Syuan Xu, Ching-Chun Huang, Wei-Chen Chiu

[WACV 2024 (BibTeX)] [Project Page] [Supplementary Materials] [Presentation Video]

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Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where

Zhi-Yi Chin*, Chieh-Ming Jiang*, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu

(* indicates equal contribution.)

[WACV 2024 (BibTeX)] [Project Page] [Supplementary Materials] [Presentation Video]

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TransTIC: Transferring Transformer-based Image Compression from Human Perception to Machine Perception

Yi-Hsin Chen, Ying-Chieh Weng, Chia-Hao Kao, Cheng Chien, Wei-Chen Chiu, Wen-Hsiao Peng

[ICCV 2023 (BibTeX)] [Project Page] [Supplementary Materials]

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MENTOR: Multilingual tExt detectioN TOward leaRning by analogy

Hsin-Ju Lin, Tsu-Chun Chung, Ching-Chun Hsiao, Pin-Yu Chen, Wei-Chen Chiu, Ching-Chun Huang

[IROS 2023 (BibTeX)] [Supplementary Video]

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Transformer-based Variable-rate Image Compression with Region-of-interest Control

Chia-Hao Kao*, Ying-Chieh Weng*, Yi-Hsin Chen, Wei-Chen Chiu, Wen-Hsiao Peng

(* indicates equal contribution.)

[ICIP 2023 (BibTeX)] [Project Page]

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Mitigating Forgetting in Continual Learning Via Contrasting Semantically Distinct Augmentations

Sheng-Feng Yu and Wei-Chen Chiu

[SMC 2023 (BibTeX)]

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Continually-Adapted Margin and Multi-Anchor Distillation for Class-Incremental Learning

Yi-Hsin Chen*, Dian-Shan Chen*, Ying-Chieh Weng, Wen-Hsiao Peng, Wei-Chen Chiu

(* indicates equal contribution.)

[SMC 2023 (BibTeX)]

teaser figure

Data Efficient Incremental Learning Via Attentive Knowledge Replay

Yi-Lun Lee, Dian-Shan Chen, Chen-Yu Lee, Yi-Hsuan Tsai, Wei-Chen Chiu

[SMC 2023 (BibTeX)]

teaser figure

Multimodal Prompting with Missing Modalities for Visual Recognition

Yi-Lun Lee, Yi-Hsuan Tsai, Wei-Chen Chiu, Chen-Yu Lee

[CVPR 2023 (BibTeX)] [ArXiv 2023] [Project Page] [Supplementary Materials]

teaser figure

Decontamination Transformer for Blind Image Inpainting

Chun-Yi Li, Yen-Yu Lin, Wei-Chen Chiu

[ICASSP 2023 (BibTeX)] [Project Page]

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Are You Killing Time? Predicting Smartphone Users’ Time-killing Moments via Fusion of Smartphone Sensor Data and Screenshots

Yu-Chun Chen*, Yu-Jen Lee*, Kuei-Chun Kao, Jie Tsai, En-Chi Liang, Wei-Chen Chiu, Faye Shih, Yung-Ju Chang

(* indicates equal contribution.)

[CHI 2023 (BibTeX)]

teaser figure

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

Yu-Hsuan Li*, Tzu-Yin Chao*, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu

(* indicates equal contribution.)

[NeurIPS 2022 (BibTeX)] [ArXiv 2021] [Project Page]

teaser figure

BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation

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

[IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) (BibTeX)] [ArXiv 2022] [Project Page]

teaser figure

Adaptively-Realistic Image Generation from Stroke and Sketch with Diffusion Model

Shin-I Cheng*, Yu-Jie Chen*, Wei-Chen Chiu, Hung-Yu Tseng, Hsin-Ying Lee

(* indicates equal contribution.)

[WACV 2023 (BibTeX)] [ArXiv 2022] [Project Page] [Supplementary Materials]

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3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling

Yu-Ting Yen, Chia-Ni Lu, Wei-Chen Chiu, Yi-Hsuan Tsai

[ECCV 2022 (BibTeX)] [ArXiv 2022] [Project Page] [Supplementary Materials]

teaser figure

Vector Quantized Image-to-Image Translation

Yu-Jie Chen*, Shin-I Cheng*, Wei-Chen Chiu, Hung-Yu Tseng, Hsin-Ying Lee

(* indicates equal contribution.)

[ECCV 2022 (BibTeX)] [ArXiv 2022] [Project Page] [Supplementary Materials]

teaser figure

RPG: Learning Recursive Point Cloud Generation

Wei-Jan Ko, Chen-Yi Chiu, Yu-Liang Kuo, Wei-Chen Chiu

[IROS 2022 (BibTeX)] [ArXiv 2021] [Project Page] [Supplementary Materials]

teaser figure

Improving Single-View Mesh Reconstruction for Unseen Categories via Primitive-Based Representation and Mesh Augmentation

Yu-Liang Kuo, Wei-Jan Ko, Chen-Yi Chiu, Wei-Chen Chiu

[IROS 2022 (BibTeX)] [Project Page] [Supplementary Materials]

teaser figure

Self-Supervised Feature Learning from Partial Point Clouds via Pose Disentanglement

Meng-Shiun Tsai*, Pei-Ze Chiang*, Yi-Hsuan Tsai, Wei-Chen Chiu

(* indicates equal contribution.)

[IROS 2022 (BibTeX)] [ArXiv 2022] [Project Page] [Supplementary Materials]

teaser figure

Find the Way Back: Invertible Kernel Estimator for Blind Image Super-Resolution

Ting-Wei Chang, Wei-Chen Chiu, Ching-Chun Huang

[ICASSP 2022 (BibTeX)] [Project Page]

teaser figure

MAML is a Noisy Contrastive Learner in Classification

Chia-Hsiang Kao, Wei-Chen Chiu, Pin-Yu Chen

[ICLR 2022 (BibTeX)] [ArXiv 2021] [Project Page]

teaser figure

Stylizing 3D Scene via Implicit Representation and HyperNetwork

Pei-Ze Chiang*, Meng-Shiun Tsai*, Hung-Yu Tseng, Wei-Sheng Lai, Wei-Chen Chiu

(* indicates equal contribution.)

[WACV 2022 (BibTeX)] [ArXiv 2021] [Project Page] [Supplementary Materials]

teaser figure

Learning to Hide Residual for Boosting Image Compression

Yi-Lun Lee, Yen-Chung Chen, Min-Yuan Tseng, Yi-Hsuan Tsai, Wei-Chen Chiu

[BMVC 2021 (BibTeX)] [Supplementary Materials]

teaser figure

Learning Facial Representations from the Cycle-consistency of Face

Jia-Ren Chang, Yong-Sheng Chen, Wei-Chen Chiu

[ICCV 2021 (BibTeX)] [ArXiv 2021] [Project Page] [Supplementary Materials]

teaser figure

Towards Interpretable Deep Networks for Monocular Depth Estimation

Zunzhi You, Yi-Hsuan Tsai, Wei-Chen Chiu, Guanbin Li

[ICCV 2021 (BibTeX)] [ArXiv 2021] [Project Page] [Supplementary Materials]

teaser figure

Killing-Time Detection from Smartphone Screenshots

Yu-Chun Chen*, Keui-Chun Kao*, Yu-Jen Lee, Faye Shih, Wei-Chen Chiu, Yung-Ju Chang

(* indicates equal contribution.)

[UbiComp/ISWC 2021 Posters and Demos (BibTeX)] [Poster]

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Boosting Semi-Supervised Anomaly Detection via Contrasting Synthetic Images

Sheng-Feng Yu, Wei-Chen Chiu

[MVA 2021 (BibTeX)] [Supplementary Materials] [Presentation Video]
(Best Paper Award)

teaser figure

Inverse Halftone Colorization: Making Halftone Prints Color Photos

Yu-Ting Yen, Chia-Chi Cheng, Wei-Chen Chiu

[ICIP 2021 (BibTeX)] [Supplementary Materials] [Presentation Video]

teaser figure

Demystifying T1-MRI to FDG18-PET Image Translation via Representational Similarity

Chia-Hsiang Kao, Yong-Sheng Chen, Li-Fen Chen, Wei-Chen Chiu

[MICCAI 2021 (BibTeX)] [Supplementary Materials]

teaser figure

An Unsupervised Video Game Playstyle Metric via State Discretization

Chiu-Chou Lin, Wei-Chen Chiu, I-Chen Wu

[UAI 2021 (BibTeX)] [ArXiv 2021]

teaser figure

Bridging the Visual Gap: Wide-Range Image Blending

Chia-Ni Lu, Ya-Chu Chang, Wei-Chen Chiu

[CVPR 2021 (BibTeX)] [ArXiv 2021] [Project Page] [Supplementary Materials] [Supplementary Video]

teaser figure

LED2-Net: Monocular 360° Layout Estimation via Differentiable Depth Rendering

Fu-En Wang*, Yu-Hsuan Yeh*, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai

(* indicates equal contribution.)

[CVPR 2021 (BibTeX)] [ArXiv 2021] [Project Page]

teaser figure

Robust 360-8PA: Redesigning The Normalized 8-point Algorithm for 360-FoV Images

Bolivar Solarte, Chin-Hsuan Wu, Kuan-Wei Lu, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun

[ICRA 2021 (BibTeX)] [ArXiv 2021] [Project Page] [Supplementary Video]

teaser figure

Domain Adaptation for Learning Generator from Paired Few-Shot Data

Chun-Chih Teng, Pin-Yu Chen, Wei-Chen Chiu

[ICASSP 2021 (BibTeX)] [ArXiv 2021]

teaser figure

Dual-Stream Fusion Network for Spatiotemporal Video Super-Resolution

Min-Yuan Tseng, Yen-Chung Chen, Yi-Lun Lee, Wei-Sheng Lai, Yi-Hsuan Tsai, Wei-Chen Chiu

[WACV 2021 (BibTeX)] [Project Page] [Supplementary Materials] [Presentation Video]

teaser figure

Single Image Reflection Removal with Edge Guidance, Reflection Classifier, and Recurrent Decomposition

Ya-Chu Chang*, Chia-Ni Lu*, Chia-Chi Cheng, Wei-Chen Chiu

(* indicates equal contribution.)

[WACV 2021 (BibTeX)] [Supplementary Materials] [Project Page] [Presentation Video]

teaser figure

Spectral Analysis for Semantic Segmentation with Applications on Feature Truncation and Weak Annotation

Li-Wei Chen, Wei-Chen Chiu, Chin-Tien Wu

[ArXiv 2020 (BibTeX)]

teaser figure

Timbre-enhanced Multi-modal Music Style Transfer with Domain Balance Loss

Fan Tsai-Jyun, Chien-Yu Lu, Wei-Chen Chiu, Li Su, Che-Rung Lee

[TAAI 2020 (International Track) (BibTeX)]
(Best Paper Award - Masterpiece)

teaser figure

Class-incremental Learning with Rectified Feature-Graph Preservation

Cheng-Hsun Lei*, Yi-Hsin Chen*, Wen-Hsiao Peng, Wei-Chen Chiu

(* indicates equal contribution.)

[ACCV 2020 (Oral) (BibTeX)] [ArXiv 2020] [Supplementary Materials] [Project Page] [Spotlight Video]

teaser figure

Boosting Image and Video Compression via Learning Latent Residual Patterns

Yen-Chung Chen*, Keng-Jui Chang*, Yi-Hsuan Tsai, Wei-Chen Chiu

(* indicates equal contribution.)

[BMVC 2020 (BibTeX)] [Supplementary Materials] [Project Page] [Presentation Video] [with its shorter version presented in CLIC 2019 (BibTeX)]

teaser figure

Benefiting Deep Latent Variable Models via Learning the Prior and Removing Latent Regularization

Rogan Morrow, Wei-Chen Chiu

[ArXiv 2020 (BibTeX)]

teaser figure

Colorization of Depth Map via Disentanglement

Chung-Sheng Lai, Zunzhi You, Ching-Chun Huang, Yi-Hsuan Tsai, Wei-Chen Chiu

[ECCV 2020 (BibTeX)] [Supplementary Materials] [Project Page] [Supplementary Video (shorten version)] [Supplementary Video (full version)]

teaser figure

Learning Low-Shot Generative Networks for Cross-Domain Data

Hsuan-Kai Kao*, Cheng-Che Lee*, Wei-Chen Chiu

(* indicates equal contribution.)

[ICPR 2020 (BibTeX)] [Supplementary Materials] [Project Page]

teaser figure

Real-time Monocular Depth Estimation with Extremely Light-Weight Neural Network

Mian-Jhong Chiu, Wei-Chen Chiu, Hua-Tsung Chen, Jen-Hui Chuang

[ICPR 2020 (BibTeX)]

teaser figure

DEN: Disentangling and Exchanging Network for Depth Completion

You-Feng Wu, Vu-Hoang Tran, Ting-Wei Chang, Wei-Chen Chiu, Ching-Chun Huang

[ICPR 2020 (BibTeX)]

teaser figure

Using Gamification to Create and Label Photos That Are Challenging for Computer Vision and People

Piotr Kotlinski, Xi-Jing Chang, Yang Chih-Yun, Wei-Chen Chiu, Yung-Ju Chang

[UbiComp/ISWC 2020 Posters and Demos (BibTeX)] [Supplementary Video]

teaser figure

Variational Autoencoders with Normalizing Flow Decoders

Rogan Morrow, Wei-Chen Chiu

[ArXiv 2020 (BibTeX)]

teaser figure

LayoutMP3D: Layout Annotation of Matterport3D

Fu-En Wang*, Yu-Hsuan Yeh*, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai

(* indicates equal contribution.)

[ArXiv 2020 (BibTeX)] [Project Page]

teaser figure

Time Flies: Animating a Still Image with Time-Lapse Video as Reference

Chia-Chi Cheng, Hung-Yu Chen, Wei-Chen Chiu

[CVPR 2020 (BibTeX)] [Project Page] [Supplementary Materials]

teaser figure

BiFuse: Monocular 360 Depth Estimation via Bi-projection Fusion

Fu-En Wang*, Yu-Hsuan Yeh*, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai

(* indicates equal contribution.)

[CVPR 2020 (BibTeX)] [Project Page] [Supplementary Materials]

teaser figure

Learning Face Recognition Unsupervisedly by Disentanglement and Self-Augmentation

Yi-Lun Lee, Min-Yuan Tseng, Yu-Cheng Luo, Dung-Ru Yu, Wei-Chen Chiu

[ICRA 2020 (BibTeX)] [Presentation Video]

teaser figure

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

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

[ICRA 2020 (BibTeX)] [ICCV 2019 Workshop (BibTeX)] [Project Page] [Presentation Video]

teaser figure

Static2Dynamic: Video Inference from a Deep Glimpse

Yu-Ying Yeh, Yen-Cheng Liu, Wei-Chen Chiu, Yu-Chiang Frank Wang

[IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI) (BibTeX)]

teaser figure

Self-Contained Stylization via Steganography for Reverse and Serial Style Transfer

Hung-Yu Chen*, I-Sheng Fang*, Chia-Ming Cheng, Wei-Chen Chiu

(* indicates equal contribution.)

[WACV 2020 (BibTeX)] [ArXiv 2018] [Project Page] [Supplementary Materials] [ArXiv version]

teaser figure

Guide Your Eyes: Learning Image Manipulation under Saliency Guidance

Yen-Chung Chen*, Keng-Jui Chang*, Yu-Chiang Frank Wang, Yi-Hsuan Tsai, Wei-Chen Chiu

(* indicates equal contribution.)

[BMVC 2019 (BibTeX)] [Project Page] [Code and Dataset] [Supplementary Materials] [Presentation Video]

teaser figure

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

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

[IROS 2019 (BibTeX)] [ArXiv 2019] [Project Page] [Presentation Video]

teaser figure

Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence

Hsueh-Ying Lai, Yi-Hsuan Tsai, Wei-Chen Chiu

[CVPR 2019 (BibTeX)] [ArXiv 2019] [Project Page] [Supplementary Materials]

teaser figure

All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation

Wei-Lun Chang*, Hui-Po Wang*, Wen-Hsiao Peng, Wei-Chen Chiu

(* indicates equal contribution.)

[CVPR 2019 (BibTeX)] [ArXiv 2019] [Project Page] [Supplementary Materials] [Presentation Video]

teaser figure

Learning Pose-Aware 3D Reconstruction via 2D-3D Self-Consistency

Yi-Lun Liao*, Yao-Cheng Yang*, Yuan-Fang Lin, Pin-Jung Chen, Chia-Wen Kuo, Wei-Chen Chiu, Yu-Chiang Frank Wang

(* indicates equal contribution.)

[ICASSP 2019 (BibTeX)]

teaser figure

Plug-and-Play: Improve Depth Prediction via Sparse Data Propagation

Tsun-Hsuan Wang, Fu-En Wang, Juan-Ting Lin, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun

[ICRA 2019 (BibTeX)] [ArXiv 2018] [Project Page] [Presentation Video]

teaser figure

Summarizing First-Person Videos from Third Persons’ Points of View

Hsuan-I Ho, Wei-Chen Chiu, Yu-Chiang Frank Wang

[ECCV 2018 (BibTeX)] [ArXiv 2017] [Project Page] [Supplementary Materials]

teaser figure

Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation

Yen-Cheng Liu*, Yu-Ying Yeh*, Tzu-Chien Fu, Sheng-De Wang, Wei-Chen Chiu, Yu-Chiang Frank Wang

(* indicates equal contribution.)

[CVPR 2018 "Spotlight" (BibTeX)] [ArXiv 2017 ] [Project Page] [Supplementary Materials]

teaser figure

Domain-Adaptive Generative Adversarial Networks For Sketch-To-Photo Inversion

Yen-Cheng Liu, Wei-Chen Chiu, Sheng-De Wang, Yu-Chiang Frank Wang

[MLSP 2017 (BibTeX)]

teaser figure

Learning Guided Convolutional Neural Networks For Cross-Resolution Face Recognition

Tzu-Chien Fu, Wei-Chen Chiu, Yu-Chiang Frank Wang

[MLSP 2017 (BibTeX)]

teaser figure

STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling

Yang He, Wei-Chen Chiu, Margret Keuper, Mario Fritz

[CVPR 2017 (BibTeX)] [ArXiv 2016] [Project Page]

teaser figure

Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles

Wei-Chen Chiu, Fabio Galasso, Mario Fritz

[ACCV 2016 (BibTeX)] [ArXiv 2016]

teaser figure

Bayesian Non-Parametrics for Multi-Modal Segmentation

Wei-Chen Chiu

[Doctoral Dissertation (BibTeX)]

teaser figure

See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG

Wei-Chen Chiu, Mario Fritz

[ICCV 2015 (BibTeX)] [ArXiv 2015] [Project Page]

teaser figure

Joint Segmentation and Activity Discovery using Semantic and Temporal Priors

Julia Seiter, Wei-Chen Chiu, Mario Fritz, Oliver Amft, Gerhard Troester

[PerCom 2015 (BibTeX)]

teaser figure

Object Disambiguation for Augmented Reality Applications

Wei-Chen Chiu, Gregory S. Johnson, Daniel Mcculley, Oliver Grau, Mario Fritz

[BMVC 2014 (BibTeX)] [Project Page]

teaser figure

Multi-Class Video Co-Segmentation with a Generative Multi-Video Model

Wei-Chen Chiu, Mario Fritz

[CVPR 2013 (BibTeX)] [Project Page]

teaser figure

I spy with my little eye: Learning Optimal Filters for Cross-Modal Stereo under Projected Patterns

Wei-Chen Chiu, Ulf Blanke, Mario Fritz

[CDC4CV 2011 (BibTeX)] [Project Page]

teaser figure

Improving the Kinect by Cross-Modal Stereo

Wei-Chen Chiu, Ulf Blanke, Mario Fritz

[BMVC 2011 (BibTeX)] [Project Page]

teaser figure

Probabilistic Modeling of Dynamic Traffic Flow between Non-overlapping FOVs

Wei-Chen Chiu, Ching-Chun Huang, Jen-Hui Chuang, Sheng-Jyh Wang

[ICPR 2010 (BibTeX)] [CVGIP 2009 (BibTeX)] [Master Thesis]

teaser figure

Robust Parking Space Detection Considering Inter-Space Correlation

Qi Wu, Ching-Chun Huang, Shih-Yu Wang, Wei-Chen Chiu, Tsuhan Chen

[ICME 2007 (BibTeX)]


Students

I am lucky to work with talented students:

PhD Students

Hsin-Yi Chen 陳心怡

Wei-Jan Ko 柯維然

Sheng-Feng Yu 游聲峰

Yi-Lun Lee 李懿倫

Bor-Shiun Wang 王柏勛

Po-Hsiang Chen 陳柏翔


Master Students (1st-Generation, starting from 2017)

Hsueh-Ying Lai 賴學穎

Yen-Chung Chen 陳彥中

Keng-Jui Chang 張耕睿

Wei-Lun Chang 張偉倫

Chun-Chih Teng 鄧駿智

Rogan Morrow (from Feb.2018)


Master Students (2nd-Generation, starting from 2018)

Min-Yuan Tseng 曾敏原

Yi-Lun Lee 李懿倫

Chia-Chi Cheng 鄭家期

Cheng-Hsun Lei 雷承勳

Ya-Chu Chang 張雅筑

Chung-Sheng Lai 來俊聖


Master Students (3rd-Generation, starting from 2019)

Chia-Ni Lu 呂佳倪

Dian-Shan Chen 陳殿善

Meng-Shiun Tsai 蔡孟勳

Chen-I Chiu 邱震譯

Yu-Hsuan Yeh 葉鈺萱

Yu-Liang Kuo 郭毓梁

Pei-Ze Chiang 江沛澤

Ting-Wei Chang 張庭維


Master Students (4th-Generation, starting from 2020)

Yu-Hsuan Li 李育瑄

(Five-Year BA-MA Program)

Yu-Ting Yen 顏妤庭

(Five-Year BA-MA Program)

Hsin-Yi Cheng 鄭昕宜

Yu-Jie Chen 陳鈺潔

Jeng-Shin Huang 黃正昕

Chun-Yi Li 李峻毅


Master Students (5th-Generation, starting from 2021)

Bo-Yu Cheng 鄭伯俞

Zhi-Yi Chin 秦紫頤

Yu-Ying Chen 陳昱螢

Chieh-Ming Chiang 蔣傑名

Shao-Yu Weng 翁紹育

Shen-Chi Huang 黃聖祺

Jun Chuan Chiew 周俊川


Master Students (6th-Generation, starting from 2022)

Chen Yeh 葉晨

Kuan-Chen Mu 穆冠蓁

Yao-Te Ying 應耀德

Jun-Yan Yang 楊鈞雁

You-Ming Chang 張祐銘

Jia-Jiun Yao 姚佳均

Jhih-Rong Chen 陳志榮

Pin-Lun Chen 陳品綸

Shao-Hao Lu 呂紹豪


Master Students (7th-Generation, starting from 2023)

Tsung-Han Chou 周宗翰

Wen-Ling Huang 黃玟綾

Chih-Hsuan Lin 林芷萱

Tai-Chun Shih 施泰俊

Chin-Yang Lin 林晉暘

Chen-Kai Chang 張宸愷

Chih-Kuang Wu 吳致廣


Master Students (8th-Generation, starting from 2024)

Bo-Hsu Ke 柯柏旭

Yu-Huan Kuo 郭育瓛

Yi-Xiang Yang 楊宜祥

Lin Huang 黃琳

Ting-Yu Pan 潘亭瑜

Hong-You Lin 林泓佑

Yu-Wen Huang 黃昱文


Visiting Students

Zhirui Zhu 朱枝睿

Nanjing University

Zunzhi You 尤尊智

Sun Yat-sen University

Chia-Hsiang Kao 高家祥

National Yang-Ming University


former members [(co-supervised) students/assistants]

Tzu-Chien Fu 傅子謙

Chia-Wen Kuo 郭佳文

Chao-Yi Peng 彭兆翊

Yen-Cheng Liu 劉彥成

Yu-Ying Yeh 葉鈺濙

Hsuan-I Ho 何宣逸

Zhi-Yi Peng 彭子翊

Hsuan-Kai Kao 高炫凱

Hung-Yu Chen 陳虹佑

Li-Wei Chen 陳立緯

I-Sheng Fang 方宜晟

Chi-Hsi Kung 孔啟熙

Tzu-Yin Chao 趙梓吟

Teaching



Machine Learning (in English), Dept. of CS, NCTU
together with Prof. Jui-Hung Hung

[Every Spring and Fall semester since 2017]


Computer Vision (in English), Dept. of CS, NCTU

[Every Spring semester since 2018 to 2021]


3D Computer Vision (in English), Dept. of CS, NYCU

[Every Spring semester since 2022]







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