Robust Parking Space Detection Considering Inter-Space Correlation. - Qi Wu 014; Chingchun Huang; Shih-yu Wang; Wei-Chen Chiu; Tsuhan Chen (ICME, 2007)

Probabilistic Modeling of Dynamic Traffic Flow across Non-overlapping Camera Views. - Chingchun Huang; Wei-Chen Chiu; Sheng-Jyh Wang; Jen-Hui Chuang (ICPR, 2010)

Improving the Kinect by Cross-Modal Stereo. - Walon Wei-Chen Chiu; Ulf Blanke; Mario Fritz (BMVC, 2011)

I spy with my little eye: Learning optimal filters for cross-modal stereo under projected patterns. - Walon Wei-Chen Chiu; Ulf Blanke; Mario Fritz (ICCV Workshops, 2011)

Multi-class Video Co-segmentation with a Generative Multi-video Model. - Walon Wei-Chen Chiu; Mario Fritz (CVPR, 2013)

Object Disambiguation for Augmented Reality Applications. - Walon Wei-Chen Chiu; Gregory Johnson; Daniel McCulley; Oliver Grau; Mario Fritz (BMVC, 2014)

See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG. - Walon Wei-Chen Chiu; Mario Fritz (ICCV, 2015)

Joint segmentation and activity discovery using semantic and temporal priors. - Julia Seiter 001; Walon Wei-Chen Chiu; Mario Fritz; Oliver Amft; Gerhard Tröster (PerCom, 2015)

Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles. - Wei-Chen Chiu; Fabio Galasso; Mario Fritz (ACCV (5), 2016)

RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling. - Yang He 005; Wei-Chen Chiu; Margret Keuper; Mario Fritz (CoRR, 2016)

Bayesian non-parametrics for multi-modal segmentation. - Wei-Chen Chiu (2016)

STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling. - Yang He 005; Wei-Chen Chiu; Margret Keuper; Mario Fritz (CVPR, 2017)

Learning guided convolutional neural networks for cross-resolution face recognition. - Tzu-Chien Fu; Wei-Chen Chiu; Yu-Chiang Frank Wang (MLSP, 2017)

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)

Learning Cross-Domain Disentangled Deep Representation with Supervision from A Single Domain. - Tzu-Chien Fu; Yen-Cheng Liu; Wei-Chen Chiu; Sheng-De Wang; Yu-Chiang Frank Wang (CoRR, 2017)

For Your Eyes Only: Learning to Summarize First-Person Videos. - Hsuan-I Ho; Wei-Chen Chiu; Yu-Chiang Frank Wang (CoRR, 2017)

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 (CVPR, 2018)

Summarizing First-Person Videos from Third Persons' Points of Views. - Hsuan-I Ho; Wei-Chen Chiu; Yu-Chiang Frank Wang (ECCV (15), 2018)

Self-Contained Stylization via Steganography for Reverse and Serial Style Transfer. - Hung-Yu Chen; I-Sheng Fang; Wei-Chen Chiu (CoRR, 2018)

Guide Your Eyes: Learning Image Manipulation under Saliency Guidance. - Yen-Chung Chen; Keng-Jui Chang; Yi-Hsuan Tsai; Yu-Chiang Frank Wang; Wei-Chen Chiu (BMVC, 2019)

All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation. - Wei-Lun Chang; Hui-Po Wang; Wen-Hsiao Peng; Wei-Chen Chiu (CVPR, 2019)

Learning Patterns of Latent Residual for Improving Video Compression. - Yen-Chung Chen; Keng-Jui Chang; Yi-Hsuan Tsai; Wei-Chen Chiu (CVPR Workshops, 2019)

Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence. - Hsueh-Ying Lai; Yi-Hsuan Tsai; Wei-Chen Chiu (CVPR, 2019)

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 (ICASSP, 2019)

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 001 (ICRA, 2019)

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 001 (IROS, 2019)

Class-Incremental Learning with Rectified Feature-Graph Preservation. - Cheng-Hsun Lei; Yi-Hsin Chen; Wen-Hsiao Peng; Wei-Chen Chiu (ACCV (6), 2020)

Boosting Image and Video Compression via Learning Latent Residual Patterns. - Yen-Chung Chen; Keng-Jui Chang; Yi-Hsuan Tsai; Wei-Chen Chiu (BMVC, 2020)

Time Flies: Animating a Still Image With Time-Lapse Video As Reference. - Chia-Chi Cheng; Hung-Yu Chen; Wei-Chen Chiu (CVPR, 2020)

BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion. - Fu-En Wang; Yu-Hsuan Yeh; Min Sun 001; Wei-Chen Chiu; Yi-Hsuan Tsai (CVPR, 2020)

Colorization of Depth Map via Disentanglement. - Chung-Sheng Lai; Zunzhi You; Chingchun Huang; Yi-Hsuan Tsai; Wei-Chen Chiu (ECCV (7), 2020)

Using gamification to create and label photos that are challenging for computer vision and people. - Piotr Kotlinski; Xi-Jing Chang; Chih-Yun Yang; Wei-Chen Chiu; Yung-Ju Chang (UbiComp/ISWC Adjunct, 2020)

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)

Learning Low-Shot Generative Networks for Cross-Domain Data. - Hsuan-Kai Kao; Cheng-Che Lee; Wei-Chen Chiu (ICPR, 2020)

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)

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)

360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume. - Ning-Hsu Wang; Bolivar Solarte; Yi-Hsuan Tsai; Wei-Chen Chiu; Min Sun 001 (ICRA, 2020)

Timbre-enhanced Multi-modal Music Style Transfer with Domain Balance Loss. - Tsai-Jyun Fan; Chien-Yu Lu; Wei-Chen Chiu; Li Su 004; Che-Rung Lee (TAAI, 2020)

Self-Contained Stylization via Steganography for Reverse and Serial Style Transfer. - Hung-Yu Chen; I-Sheng Fang; Chia-Ming Cheng; Wei-Chen Chiu (WACV, 2020)

LayoutMP3D: Layout Annotation of Matterport3D. - Fu-En Wang; Yu-Hsuan Yeh; Min Sun 001; Wei-Chen Chiu; Yi-Hsuan Tsai (CoRR, 2020)

Variational Autoencoders with Normalizing Flow Decoders. - Rogan Morrow; Wei-Chen Chiu (CoRR, 2020)

Benefiting Deep Latent Variable Models via Learning the Prior and Removing Latent Regularization. - Rogan Morrow; Wei-Chen Chiu (CoRR, 2020)

Spectral Analysis for Semantic Segmentation with Applications on Feature Truncation and Weak Annotation. - Li-Wei Chen; Wei-Chen Chiu; Chin-Tien Wu (CoRR, 2020)

Static2Dynamic: Video Inference From a Deep Glimpse. - Yu-Ying Yeh; Yen-Cheng Liu; Wei-Chen Chiu; Yu-Chiang Frank Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2020)

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)

Bridging the Visual Gap: Wide-Range Image Blending. - Chia-Ni Lu; Ya-Chu Chang; Wei-Chen Chiu (CVPR, 2021)

LED2-Net: Monocular 360deg Layout Estimation via Differentiable Depth Rendering. - Fu-En Wang; Yu-Hsuan Yeh; Min Sun 001; Wei-Chen Chiu; Yi-Hsuan Tsai (CVPR, 2021)

Killing-Time Detection from Smartphone Screenshots. - Yu-Chun Chen; Kuei-Chun Kao; Yu-Jen Lee; Faye Shih; Wei-Chen Chiu; Yung-Ju Chang (UbiComp/ISWC Adjunct, 2021)

Domain Adaptation for Learning Generator From Paired Few-Shot Data. - Chun-Chih Teng; Pin-Yu Chen; Wei-Chen Chiu (ICASSP, 2021)

Learning Facial Representations from the Cycle-consistency of Face. - Jia-Ren Chang; Yong-Sheng Chen; Wei-Chen Chiu (ICCV, 2021)

Towards Interpretable Deep Networks for Monocular Depth Estimation. - Zunzhi You; Yi-Hsuan Tsai; Wei-Chen Chiu; Guanbin Li (ICCV, 2021)

Inverse Halftone Colorization: Making Halftone Prints Color Photos. - Yu-Ting Yen; Chia-Chi Cheng; Wei-Chen Chiu (ICIP, 2021)

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 001 (ICRA, 2021)

Demystifying T1-MRI to FDG18-PET Image Translation via Representational Similarity. - Chia-Hsiang Kao; Yong-Sheng Chen; Li-Fen Chen; Wei-Chen Chiu (MICCAI (3), 2021)

Boosting Semi-Supervised Anomaly Detection via Contrasting Synthetic Images. - Sheng-Feng Yu; Wei-Chen Chiu (MVA, 2021)

An unsupervised video game playstyle metric via state discretization. - Chiu-Chou Lin; Wei-Chen Chiu; I-Chen Wu (UAI, 2021)

Single Image Reflection Removal with Edge Guidance, Reflection Classifier, and Recurrent Decomposition. - Ya-Chu Chang; Chia-Ni Lu; Chia-Chi Cheng; Wei-Chen Chiu (WACV, 2021)

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)

LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering. - Fu-En Wang; Yu-Hsuan Yeh; Min Sun 001; Wei-Chen Chiu; Yi-Hsuan Tsai (CoRR, 2021)

RPG: Learning Recursive Point Cloud Generation. - Wei-Jan Ko; Hui-Yu Huang; Yu-Liang Kuo; Chen-Yi Chiu; Li-Heng Wang; Wei-Chen Chiu (CoRR, 2021)

MAML is a Noisy Contrastive Learner. - Chia-Hsiang Kao; Wei-Chen Chiu; Pin-Yu Chen (CoRR, 2021)

Vector Quantized Image-to-Image Translation. - Yu-Jie Chen; Shin-I Cheng; Wei-Chen Chiu; Hung-Yu Tseng; Hsin-Ying Lee 001 (ECCV (16), 2022)

3D-PL: Domain Adaptive Depth Estimation with 3D-Aware Pseudo-Labeling. - Yu-Ting Yen; Chia-Ni Lu; Wei-Chen Chiu; Yi-Hsuan Tsai (ECCV (27), 2022)

Find The Way Back: Invertible Kernel Estimator For Blind Image Super-Resolution. - Ting-Wei Chang; Wei-Chen Chiu; Ching-Chun Huang (ICASSP, 2022)

MAML is a Noisy Contrastive Learner in Classification. - Chia-Hsiang Kao; Wei-Chen Chiu; Pin-Yu Chen (ICLR, 2022)

RPG: Learning Recursive Point Cloud Generation. - Wei-Jan Ko; Chen-Yi Chiu; Yu-Liang Kuo; Wei-Chen Chiu (IROS, 2022)

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)

Self-Supervised Feature Learning from Partial Point Clouds via Pose Disentanglement. - Meng-Shiun Tsai; Pei-Ze Chiang; Yi-Hsuan Tsai; Wei-Chen Chiu (IROS, 2022)

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 (NeurIPS, 2022)

Stylizing 3D Scene via Implicit Representation and HyperNetwork. - Pei-Ze Chiang; Meng-Shiun Tsai; Hung-Yu Tseng; Wei-Sheng Lai; Wei-Chen Chiu (WACV, 2022)

Mitigating Forgetting in Online Continual Learning via Contrasting Semantically Distinct Augmentations. - Sheng-Feng Yu; Wei-Chen Chiu (CoRR, 2022)

Scalable Spatial Memory for Scene Rendering and Navigation. - Wen-Cheng Chen; Chu-Song Chen; Wei-Chen Chiu; Min-Chun Hu 001 (AAAI, 2023)

Transformer-based Image Compression with Variable Image Quality Objectives. - Chia-Hao Kao; Yi-Hsin Chen; Cheng Chien; Wei-Chen Chiu; Wen-Hsiao Peng (APSIPA ASC, 2023)

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 (CHI, 2023)

Multimodal Prompting with Missing Modalities for Visual Recognition. - Yi-Lun Lee; Yi-Hsuan Tsai; Wei-Chen Chiu; Chen-Yu Lee (CVPR, 2023)

Decontamination Transformer For Blind Image Inpainting. - Chun-Yi Li; Yen-Yu Lin; Wei-Chen Chiu (ICASSP, 2023)

RLMD: A Dataset for Road Marking Segmentation. - Heng-Chih Hsiao; Yi-Chang Cai; Huei-Yung Lin; Wei-Chen Chiu; Chiao-Tung Chan (ICCE-Taiwan, 2023)

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)

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 (ICIP, 2023)

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)

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 (SMC, 2023)

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)

Mitigating Forgetting in Continual Learning via Contrasting Semantically Distinct Augmentations. - Sheng-Feng Yu; Wei-Chen Chiu (SMC, 2023)

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 001 (WACV, 2023)

AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors. - You-Ming Chang; Chen Yeh; Wei-Chen Chiu; Ning Yu (CoRR, 2023)

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 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Improving Robustness for Joint Optimization of Camera Pose and Decomposed Low-Rank Tensorial Radiance Fields. - Bo-Yu Chen; Wei-Chen Chiu; Yu-Lun Liu 001 (AAAI, 2024)

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 (6), 2024)

MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes. - Bor-Shiun Wang; Chien-Yi Wang; Wei-Chen Chiu (CVPR, 2024)

Two Heads Better Than One: Dual Degradation Representation for Blind Super-Resolution. - Hsuan Yuan; Shao-Yu Weng; I-Hsuan Lo; Wei-Chen Chiu; Yu-Syuan Xu; Hao-Chien Hsueh; Jen-Hui Chuang; Ching-Chun Huang (ICIP, 2024)

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 (ICML, 2024)

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 (16), 2024)

Skin the sheep not only once: Reusing Various Depth Datasets to Drive the Learning of Optical Flow. - Sheng-Chi Huang; Wei-Chen Chiu (IROS, 2024)

T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition. - Chen Yeh; You-Ming Chang; Wei-Chen Chiu; Ning Yu (NeurIPS, 2024)

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 (WACV, 2024)

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)

Improving Robustness for Joint Optimization of Camera Poses and Decomposed Low-Rank Tensorial Radiance Fields. - Bo-Yu Cheng; Wei-Chen Chiu; Yu-Lun Liu 001 (CoRR, 2024)

Realizing Video Summarization from the Path of Language-based Semantic Understanding. - Kuan-Chen Mu; Zhi-Yi Chin; Wei-Chen Chiu (CoRR, 2024)

In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Models. - Zhi-Yi Chin; Kuan-Chen Mu; Mario Fritz; Pin-Yu Chen; Wei-Chen Chiu (CoRR, 2024)

Delve into Visual Contrastive Decoding for Hallucination Mitigation of Large Vision-Language Models. - Yi-Lun Lee; Yi-Hsuan Tsai; Wei-Chen Chiu (CoRR, 2024)

Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in Games. - Chiu-Chou Lin; Wei-Chen Chiu; I-Chen Wu (Trans. Mach. Learn. Res., 2024)

Identifying and Clustering Counter Relationships of Team Compositions in PvP Games for Efficient Balance Analysis. - Chiu-Chou Lin; Yu-Wei Shih; Kuei-Ting Kuo; Yu-Cheng Chen; Chien-Hua Chen; Wei-Chen Chiu; I-Chen Wu (Trans. Mach. Learn. Res., 2024)

Exemplar Masking for Multimodal Incremental Learning. - Yi-Lun Lee; Chen-Yu Lee; Wei-Chen Chiu; Yi-Hsuan Tsai (CVPR Workshops, 2025)

RC-AutoCalib: An End-to-End Radar-Camera Automatic Calibration Network. - Van-Tin Luu; Yon-Lin Cai; Vu-Hoang Tran; Wei-Chen Chiu; Yi-Ting Chen; Ching-Chun Huang (CVPR, 2025)

Boost Self-Supervised Dataset Distillation via Parameterization, Predefined Augmentation, and Approximation. - Sheng-Feng Yu; Jia-Jiun Yao; Wei-Chen Chiu (ICLR, 2025)

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)

DynFaceRestore: Balancing Fidelity and Quality in Diffusion-Guided Blind Face Restoration with Dynamic Blur-Level Mapping and Guidance. - Huu-Phu Do; Yu-Wei Chen; Yi-Cheng Liao; Chi-Wei Hsiao; Han-Yang Wang; Wei-Chen Chiu; Ching-Chun Huang (CoRR, 2025)