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2020 – today
- 2024
[c160]I-Jieh Liu, Ci-Siang Lin, Fu-En Yang, Yu-Chiang Frank Wang:
Language-Guided Transformer for Federated Multi-Label Classification. AAAI 2024: 13882-13890- [c159]Cheng Sun, Wei-En Tai, Yu-Lin Shih, Kuan-Wei Chen, Yong-Jing Syu, Kent Selwyn The, Yu-Chiang Frank Wang, Hwann-Tzong Chen:
Seg2Reg: Differentiable 2D Segmentation to 1D Regression Rendering for 360 Room Layout Reconstruction. CVPR 2024: 10435-10445 - [c158]Zi-Ting Chou, Sheng-Yu Huang, I-Jieh Liu, Yu-Chiang Frank Wang:
GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding. CVPR 2024: 20806-20815 - [c157]Yu-Chu Yu, Chi-Pin Huang, Jr-Jen Chen, Kai-Po Chang, Yung-Hsuan Lai, Fu-En Yang, Yu-Chiang Frank Wang:
Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models. ECCV (26) 2024: 219-236 - [c156]Yi-Chia Chen, Wei-Hua Li, Cheng Sun, Yu-Chiang Frank Wang, Chu-Song Chen:
SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation. ECCV (81) 2024: 323-340 - [c155]Bin-Shih Wu
, Hong-En Chen, Sheng-Yu Huang, Yu-Chiang Frank Wang:
TPA3D: Triplane Attention for Fast Text-to-3D Generation. ECCV (18) 2024: 438-455 - [c154]Wei-Yang Lin, Yu-Chiang Frank Wang, Li Su:
Enhancing Violin Fingering Generation through Audio-Symbolic Fusion. ICASSP 2024: 811-815 - [c153]Kai-Po Chang, Chi-Pin Huang, Wei-Yuan Cheng, Fu-En Yang, Chien-Yi Wang, Yung-Hsuan Lai, Yu-Chiang Frank Wang:
RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering. ICLR 2024 - [c152]Szu-Wei Fu, Kuo-Hsuan Hung, Yu Tsao, Yu-Chiang Frank Wang:
Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech. ICLR 2024 - [c151]Shih-Yang Liu, Chien-Yi Wang, Hongxu Yin, Pavlo Molchanov, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Min-Hung Chen:
DoRA: Weight-Decomposed Low-Rank Adaptation. ICML 2024 - [i63]Ci-Siang Lin, Chien-Yi Wang, Yu-Chiang Frank Wang, Min-Hung Chen:
SemPLeS: Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation. CoRR abs/2401.11791 (2024) - [i62]Shih-Yang Liu, Chien-Yi Wang, Hongxu Yin, Pavlo Molchanov, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Min-Hung Chen:
DoRA: Weight-Decomposed Low-Rank Adaptation. CoRR abs/2402.09353 (2024) - [i61]Szu-Wei Fu, Kuo-Hsuan Hung, Yu Tsao, Yu-Chiang Frank Wang:
Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech. CoRR abs/2402.16321 (2024) - [i60]Zi-Ting Chou, Sheng-Yu Huang, I-Jieh Liu, Yu-Chiang Frank Wang:
GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding. CoRR abs/2403.03608 (2024) - [i59]Yu-Chu Yu, Chi-Pin Huang, Jr-Jen Chen, Kai-Po Chang, Yung-Hsuan Lai, Fu-En Yang, Yu-Chiang Frank Wang:
Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models. CoRR abs/2403.09296 (2024) - [i58]Tung-Yu Wu, Sheng-Yu Huang, Yu-Chiang Frank Wang:
DOrA: 3D Visual Grounding with Order-Aware Referring. CoRR abs/2403.16539 (2024) - [i57]Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh, Yu-Chiang Frank Wang, Min-Hung Chen, Shao-Hua Sun:
Diffusion-Reward Adversarial Imitation Learning. CoRR abs/2405.16194 (2024) - [i56]Ci-Siang Lin, I-Jieh Liu, Min-Hung Chen, Chien-Yi Wang, Sifei Liu, Yu-Chiang Frank Wang:
GroPrompt: Efficient Grounded Prompting and Adaptation for Referring Video Object Segmentation. CoRR abs/2406.12834 (2024) - [i55]Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, He Huang, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-yi Lee:
DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text Alignment. CoRR abs/2406.18871 (2024) - [i54]Jr-Jen Chen, Yu-Chien Liao, Hsi-Che Lin, Yu-Chu Yu, Yen-Chun Chen, Yu-Chiang Frank Wang:
ReXTime: A Benchmark Suite for Reasoning-Across-Time in Videos. CoRR abs/2406.19392 (2024) - [i53]Ding-Jiun Huang, Zi-Ting Chou, Yu-Chiang Frank Wang, Cheng Sun:
ASSR-NeRF: Arbitrary-Scale Super-Resolution on Voxel Grid for High-Quality Radiance Fields Reconstruction. CoRR abs/2406.20066 (2024) - [i52]Yusuke Hirota, Min-Hung Chen, Chien-Yi Wang, Yuta Nakashima, Yu-Chiang Frank Wang, Ryo Hachiuma:
SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP. CoRR abs/2408.10202 (2024) - [i51]Yi-Chia Chen, Wei-Hua Li, Cheng Sun, Yu-Chiang Frank Wang, Chu-Song Chen:
SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation. CoRR abs/2409.10542 (2024) - [i50]Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, Chao-Han Huck Yang, Jagadeesh Balam, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-yi Lee:
Developing Instruction-Following Speech Language Model Without Speech Instruction-Tuning Data. CoRR abs/2409.20007 (2024) - 2023
- [j29]Fu-En Yang, Yuan-Hao Lee, Chia-Ching Lin, Yu-Chiang Frank Wang:
Semantics-Guided Intra-Category Knowledge Transfer for Generalized Zero-Shot Learning. Int. J. Comput. Vis. 131(6): 1331-1345 (2023) - [j28]Ci-Siang Lin, Yu-Chiang Frank Wang:
Describe, Spot and Explain: Interpretable Representation Learning for Discriminative Visual Reasoning. IEEE Trans. Image Process. 32: 2481-2492 (2023) - [c150]Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang:
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis. AAAI 2023: 579-587 - [c149]Wan-Cyuan Fan, Cheng-Fu Yang, Chiao-An Yang, Yu-Chiang Frank Wang:
Target-Free Text-Guided Image Manipulation. AAAI 2023: 588-596 - [c148]Hua-En Chang, Chia-Hsuan Hsieh, Hao-Hsiang Yang, I-Hsiang Chen, Yi-Chung Chen, Yu-Chiang Frank Wang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo:
TSRFormer: Transformer Based Two-stage Refinement for Single Image Shadow Removal. CVPR Workshops 2023: 1436-1446 - [c147]Yuan-Yi Xu, Ci-Siang Lin, Yu-Chiang Frank Wang:
Bias-Eliminating Augmentation Learning for Debiased Federated Learning. CVPR 2023: 20442-20452 - [c146]Cheng-Fu Yang, Yen-Chun Chen, Jianwei Yang, Xiyang Dai, Lu Yuan, Yu-Chiang Frank Wang, Kai-Wei Chang:
LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following. EMNLP 2023: 1203-1217 - [c145]Yu-Hsuan Chen, Fu-Cheng Pan, Yu-Chien Liao, Jao-Hong Kao, Yu-Chiang Frank Wang:
Semantics-Aware Gamma Correction for Unsupervised Low-Light Image Enhancement. ICASSP 2023: 1-5 - [c144]Fu-En Yang, Chien-Yi Wang, Yu-Chiang Frank Wang:
Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation. ICCV 2023: 19102-19111 - [c143]Ci-Siang Lin, Min-Hung Chen, Yu-Chiang Frank Wang:
Frequency-Aware Self-Supervised Long-Tailed Learning. ICCV (Workshops) 2023: 963-972 - [c142]Chiao-An Yang, Meng-Lin Wu, Raymond A. Yeh, Yu-Chiang Frank Wang:
Consistent and Multi-Scale Scene Graph Transformer for Semantic-Guided Image Outpainting. ICIP 2023: 176-180 - [c141]Yu-Shan Huang, Sheng-Yu Huang, Hao-Yu Hsu, Yu-Chiang Frank Wang:
Interpreting Latent Representation in Neural Radiance Fields for Manipulating Object Semantics. ICIP 2023: 470-474 - [c140]Cheng-Yen Hsieh, Chih-Jung Chang, Fu-En Yang, Yu-Chiang Frank Wang:
Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond. WACV 2023: 2695-2704 - [i49]Yuan-Chia Cheng, Zu-Yun Shiau, Fu-En Yang, Yu-Chiang Frank Wang:
TAX: Tendency-and-Assignment Explainer for Semantic Segmentation with Multi-Annotators. CoRR abs/2302.09561 (2023) - [i48]Yung-Hsuan Lai, Yen-Chun Chen, Yu-Chiang Frank Wang:
Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser. CoRR abs/2305.17343 (2023) - [i47]Hsi-Che Lin, Chien-Yi Wang, Min-Hung Chen, Szu-Wei Fu, Yu-Chiang Frank Wang:
QuAVF: Quality-aware Audio-Visual Fusion for Ego4D Talking to Me Challenge. CoRR abs/2306.17404 (2023) - [i46]Chia-Hsiang Kao, Yu-Chiang Frank Wang:
FedBug: A Bottom-Up Gradual Unfreezing Framework for Federated Learning. CoRR abs/2307.10317 (2023) - [i45]Fu-En Yang, Chien-Yi Wang, Yu-Chiang Frank Wang:
Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation. CoRR abs/2308.15367 (2023) - [i44]Ci-Siang Lin, Min-Hung Chen, Yu-Chiang Frank Wang:
Frequency-Aware Self-Supervised Long-Tailed Learning. CoRR abs/2309.04723 (2023) - [i43]Cheng-Fu Yang, Yen-Chun Chen, Jianwei Yang, Xiyang Dai, Lu Yuan, Yu-Chiang Frank Wang, Kai-Wei Chang:
LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following. CoRR abs/2310.12344 (2023) - [i42]Chi-Pin Huang, Kai-Po Chang, Chung-Ting Tsai, Yung-Hsuan Lai, Yu-Chiang Frank Wang:
Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers. CoRR abs/2311.17717 (2023) - [i41]Cheng Sun, Wei-En Tai, Yu-Lin Shih, Kuan-Wei Chen, Yong-Jing Syu, Kent Selwyn The, Yu-Chiang Frank Wang, Hwann-Tzong Chen:
Seg2Reg: Differentiable 2D Segmentation to 1D Regression Rendering for 360 Room Layout Reconstruction. CoRR abs/2311.18695 (2023) - [i40]Hong-En Chen, Bin-Shih Wu, Sheng-Yu Huang, Yu-Chiang Frank Wang:
TPA3D: Triplane Attention for Fast Text-to-3D Generation. CoRR abs/2312.02647 (2023) - [i39]I-Jieh Liu, Ci-Siang Lin, Fu-En Yang, Yu-Chiang Frank Wang:
Language-Guided Transformer for Federated Multi-Label Classification. CoRR abs/2312.07165 (2023) - 2022
- [j27]Zhi-Hao Lin, Sheng-Yu Huang, Yu-Chiang Frank Wang:
Learning of 3D Graph Convolution Networks for Point Cloud Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4212-4224 (2022) - [c139]Chih-Chun Yang, Wan-Cyuan Fan, Cheng-Fu Yang, Yu-Chiang Frank Wang:
Cross-Modal Mutual Learning for Audio-Visual Speech Recognition and Manipulation. AAAI 2022: 3036-3044 - [c138]Chiao-An Yang, Cheng-Yo Tan, Wan-Cyuan Fan, Cheng-Fu Yang, Meng-Lin Wu, Yu-Chiang Frank Wang:
Scene Graph Expansion for Semantics-Guided Image Outpainting. CVPR 2022: 15596-15605 - [c137]Zhi-Hao Lin, Wei-Chiu Ma, Hao-Yu Hsu, Yu-Chiang Frank Wang, Shenlong Wang:
NeurMiPs: Neural Mixture of Planar Experts for View Synthesis. CVPR 2022: 15681-15691 - [c136]Wei-Yu Lee, Jheng-Yu Wang, Yu-Chiang Frank Wang:
Domain-Agnostic Meta-Learning for Cross-Domain Few-Shot Classification. ICASSP 2022: 1715-1719 - [c135]Yuan-Yi Xu, Yan-Yang Ji, Sheng-Yu Huang, Zhi-Hao Lin, Yu-Chiang Frank Wang:
3D-Selfcutmix: Self-Supervised Learning for 3D Point Cloud Analysis. ICIP 2022: 676-680 - [c134]Shang-Fu Chen, Yu-Min Liu, Chia-Ching Lin, Trista Pei-Chun Chen, Yu-Chiang Frank Wang:
Domain-Generalized Textured Surface Anomaly Detection. ICME 2022: 1-6 - [c133]Zih-Ching Chen, Lin-Hsi Tsao, Chin-Lun Fu, Shang-Fu Chen, Yu-Chiang Frank Wang:
Learning Facial Liveness Representation for Domain Generalized Face Anti-Spoofing. ICME 2022: 1-6 - [c132]Sheng-Yu Huang, Hao-Yu Hsu, Yu-Chiang Frank Wang:
SPoVT: Semantic-Prototype Variational Transformer for Dense Point Cloud Semantic Completion. NeurIPS 2022 - [c131]Yuan-Hao Lee, Fu-En Yang, Yu-Chiang Frank Wang:
A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation. WACV 2022: 1607-1617 - [i38]Shang-Fu Chen, Yu-Min Liu, Chia-Ching Lin, Trista Pei-Chun Chen, Yu-Chiang Frank Wang:
Domain-Generalized Textured Surface Anomaly Detection. CoRR abs/2203.12304 (2022) - [i37]Zhi-Hao Lin, Wei-Chiu Ma, Hao-Yu Hsu, Yu-Chiang Frank Wang, Shenlong Wang:
NeurMiPs: Neural Mixture of Planar Experts for View Synthesis. CoRR abs/2204.13696 (2022) - [i36]Chiao-An Yang, Cheng-Yo Tan, Wan-Cyuan Fan, Cheng-Fu Yang, Meng-Lin Wu, Yu-Chiang Frank Wang:
Scene Graph Expansion for Semantics-Guided Image Outpainting. CoRR abs/2205.02958 (2022) - [i35]Zih-Ching Chen, Lin-Hsi Tsao, Chin-Lun Fu, Shang-Fu Chen, Yu-Chiang Frank Wang:
Learning Facial Liveness Representation for Domain Generalized Face Anti-spoofing. CoRR abs/2208.07828 (2022) - [i34]Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang:
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis. CoRR abs/2208.13753 (2022) - [i33]Cheng-Yen Hsieh, Chih-Jung Chang, Fu-En Yang, Yu-Chiang Frank Wang:
Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond. CoRR abs/2208.14439 (2022) - [i32]Cheng-Fu Yang, Yao-Hung Hubert Tsai, Wan-Cyuan Fan, Ruslan Salakhutdinov, Louis-Philippe Morency, Yu-Chiang Frank Wang:
Paraphrasing Is All You Need for Novel Object Captioning. CoRR abs/2209.12343 (2022) - [i31]Wan-Cyuan Fan, Cheng-Fu Yang, Chiao-An Yang, Yu-Chiang Frank Wang:
Target-Free Text-guided Image Manipulation. CoRR abs/2211.14544 (2022) - 2021
- [j26]Chia-Ching Lin, Hsin-Li Chu, Yu-Chiang Frank Wang, Chin-Laung Lei:
Joint Feature Disentanglement and Hallucination for Few-Shot Image Classification. IEEE Trans. Image Process. 30: 9245-9258 (2021) - [c130]Yan-Bo Lin, Yu-Chiang Frank Wang:
Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation. AAAI 2021: 2056-2063 - [c129]Cheng-Fu Yang, Wan-Cyuan Fan, Fu-En Yang, Yu-Chiang Frank Wang:
LayoutTransformer: Scene Layout Generation With Conceptual and Spatial Diversity. CVPR 2021: 3732-3741 - [c128]Yuan-Chia Cheng, Ci-Siang Lin, Fu-En Yang, Yu-Chiang Frank Wang:
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains. ICIP 2021: 434-438 - [c127]Cheng-Yo Tan, Chiao-An Yang, Shang-Fu Chen, Meng-Lin Wu, Yu-Chiang Frank Wang:
Robust Image Outpainting With Learnable Image Margins. ICIP 2021: 1159-1163 - [c126]Shang-Fu Chen, Jia-Wei Yan, Ya-Fan Su, Yu-Chiang Frank Wang:
Representation Decomposition For Image Manipulation And Beyond. ICIP 2021: 1169-1173 - [c125]Zu-Yun Shiau, Weiwei Lin, Ci-Siang Lin, Yu-Chiang Frank Wang:
Meta-Learned Feature Critics for Domain Generalized Semantic Segmentation. ICIP 2021: 2244-2248 - [c124]Ci-Siang Lin, Yu-Chiang Frank Wang:
Self-Supervised Bodymap-to-Appearance Co-Attention for Partial Person Re-Identification. ICIP 2021: 2299-2303 - [c123]Hao-Hsiang Yang, Fu-En Wang, Cheng Sun, Kuan-Chih Huang, Hung-Wei Chen, Yi Chen, Hung-Chih Chen, Chun-Yu Liao, Shih-Hsuan Kao, Yu-Chiang Frank Wang, Chou-Chin Lan:
Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection. MICCAI (7) 2021: 251-261 - [c122]Fu-En Yang, Yuan-Chia Cheng, Zu-Yun Shiau, Yu-Chiang Frank Wang:
Adversarial Teacher-Student Representation Learning for Domain Generalization. NeurIPS 2021: 19448-19460 - [i30]Fu-En Yang, Jing-Cheng Chang, Yuan-Hao Lee, Yu-Chiang Frank Wang:
Dual-MTGAN: Stochastic and Deterministic Motion Transfer for Image-to-Video Synthesis. CoRR abs/2102.13329 (2021) - [i29]Yan-Bo Lin, Yu-Chiang Frank Wang:
Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation. CoRR abs/2105.00708 (2021) - [i28]Yuan-Hao Lee, Fu-En Yang, Yu-Chiang Frank Wang:
A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation. CoRR abs/2111.01418 (2021) - [i27]Zu-Yun Shiau, Wei-Wei Lin, Ci-Siang Lin, Yu-Chiang Frank Wang:
Meta-Learned Feature Critics for Domain Generalized Semantic Segmentation. CoRR abs/2112.13538 (2021) - [i26]Yuan-Chia Cheng, Ci-Siang Lin, Fu-En Yang, Yu-Chiang Frank Wang:
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains. CoRR abs/2112.13539 (2021) - 2020
- [j25]Yu-Ying Yeh, Yen-Cheng Liu, Wei-Chen Chiu, Yu-Chiang Frank Wang:
Static2Dynamic: Video Inference From a Deep Glimpse. IEEE Trans. Emerg. Top. Comput. Intell. 4(4): 440-449 (2020) - [j24]Fu-En Yang, Jing-Cheng Chang, Chung-Chi Tsai, Yu-Chiang Frank Wang:
A Multi-Domain and Multi-Modal Representation Disentangler for Cross-Domain Image Manipulation and Classification. IEEE Trans. Image Process. 29: 2795-2807 (2020) - [c121]Yan-Bo Lin, Yu-Chiang Frank Wang:
Audiovisual Transformer with Instance Attention for Audio-Visual Event Localization. ACCV (6) 2020: 274-290 - [c120]Yen-Ting Liu, Yu-Jhe Li, Yu-Chiang Frank Wang:
Transforming Multi-concept Attention into Video Summarization. ACCV (5) 2020: 498-513 - [c119]Pei-Tse Yang, Feng-Guang Su, Yu-Chiang Frank Wang:
Diverse Audio-to-Image Generation via Semantics and Feature Consistency. APSIPA 2020: 1188-1192 - [c118]Zhi-Hao Lin, Sheng-Yu Huang, Yu-Chiang Frank Wang:
Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis. CVPR 2020: 1797-1806 - [c117]Po-Hsiang Huang, Fu-En Yang, Yu-Chiang Frank Wang:
Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment. CVPR 2020: 7082-7090 - [c116]Yun-Chun Chen, Chao-Te Chou, Yu-Chiang Frank Wang:
Learning to Learn in a Semi-supervised Fashion. ECCV (18) 2020: 460-478 - [c115]Cheng-Yu Fan, Chao-Peng Liu, Kuan-Chun Wang, Jiun-Hao Jhan, Yu-Chiang Frank Wang, Jun-Cheng Chen:
Face Feature Recovery via Temporal Fusion for Person Search. ICASSP 2020: 1893-1897 - [c114]Chun-Hao Chao, Pin-Lun Hsu, Hung-Yi Lee, Yu-Chiang Frank Wang:
Self-Supervised Deep Learning for Fisheye Image Rectification. ICASSP 2020: 2248-2252 - [c113]Hao-Hsiang Yang, Chao-Han Huck Yang, Yu-Chiang Frank Wang:
Wavelet Channel Attention Module With A Fusion Network For Single Image Deraining. ICIP 2020: 883-887 - [c112]Wei-Yu Lee, Yu-Chiang Frank Wang:
Learning Disentangled Feature Representations For Anomaly Detection. ICIP 2020: 2156-2160 - [c111]Chih-Wei Wu, Chih-Ting Liu, Wei-Chih Tu, Yu Tsao, Yu-Chiang Frank Wang, Shao-Yi Chien:
Space-Time Guided Association Learning For Unsupervised Person Re-Identification. ICIP 2020: 2261-2265 - [c110]Ci-Siang Lin, Yuan-Chia Cheng, Yu-Chiang Frank Wang:
Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning. ICPR 2020: 6758-6763 - [c109]Fu-En Yang, Jing-Cheng Chang, Yuan-Hao Lee, Yu-Chiang Frank Wang:
Dual-MTGAN: Stochastic and Deterministic Motion Transfer for Image-to-Video Synthesis. ICPR 2020: 6764-6771 - [c108]Jia-Wei Yan, Ci-Siang Lin, Fu-En Yang, Yu-Jhe Li, Yu-Chiang Frank Wang:
Semantics-Guided Representation Learning with Applications to Visual Synthesis. ICPR 2020: 7181-7187 - [c107]Feng-Guang Su, Ci-Siang Lin, Yu-Chiang Frank Wang:
Learning Interpretable Representation for 3D Point Clouds. ICPR 2020: 7470-7477 - [i25]Yu-Jhe Li, Yun-Chun Chen, Yen-Yu Lin, Yu-Chiang Frank Wang:
Cross-Resolution Adversarial Dual Network for Person Re-Identification and Beyond. CoRR abs/2002.09274 (2020) - [i24]Yen-Ting Liu, Yu-Jhe Li, Yu-Chiang Frank Wang:
Transforming Multi-Concept Attention into Video Summarization. CoRR abs/2006.01410 (2020) - [i23]Hao-Hsiang Yang, Chao-Han Huck Yang, Yu-Chiang Frank Wang:
Wavelet Channel Attention Module with a Fusion Network for Single Image Deraining. CoRR abs/2007.09163 (2020) - [i22]Yun-Chun Chen, Chao-Te Chou, Yu-Chiang Frank Wang:
Learning to Learn in a Semi-Supervised Fashion. CoRR abs/2008.11203 (2020) - [i21]Chih-Ting Liu, Yu-Jhe Li, Shao-Yi Chien, Yu-Chiang Frank Wang:
Semantics-Guided Clustering with Deep Progressive Learning for Semi-Supervised Person Re-identification. CoRR abs/2010.01148 (2020) - [i20]Ci-Siang Lin, Yuan-Chia Cheng, Yu-Chiang Frank Wang:
Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning. CoRR abs/2010.09561 (2020) - [i19]Jia-Wei Yan, Ci-Siang Lin, Fu-En Yang, Yu-Jhe Li, Yu-Chiang Frank Wang:
Semantics-Guided Representation Learning with Applications to Visual Synthesis. CoRR abs/2010.10772 (2020) - [i18]Shang-Fu Chen, Jia-Wei Yan, Ya-Fan Su, Yu-Chiang Frank Wang:
Deep Representation Decomposition for Feature Disentanglement. CoRR abs/2011.00788 (2020)
2010 – 2019
- 2019
- [j23]Wei-Yu Chen, Tzu-Ming Harry Hsu, Yao-Hung Hubert Tsai, Ming-Syan Chen, Yu-Chiang Frank Wang:
Transfer Neural Trees: Semi-Supervised Heterogeneous Domain Adaptation and Beyond. IEEE Trans. Image Process. 28(9): 4620-4633 (2019) - [c106]Yun-Chun Chen, Yu-Jhe Li, Xiaofei Du, Yu-Chiang Frank Wang:
Learning Resolution-Invariant Deep Representations for Person Re-Identification. AAAI 2019: 8215-8222 - [c105]Yen-Chung Chen, Keng-Jui Chang, Yi-Hsuan Tsai, Yu-Chiang Frank Wang, Wei-Chen Chiu:
Guide Your Eyes: Learning Image Manipulation under Saliency Guidance. BMVC 2019: 197 - [c104]Hwai-Jin Peng, Chia-Ming Wang, Yu-Chiang Frank Wang:
Element-Embedded Style Transfer Networks for Style Harmonization. BMVC 2019: 201 - [c103]Chih-Ting Liu, Chih-Wei Wu, Yu-Chiang Frank Wang, Shao-Yi Chien:
Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification. BMVC 2019: 243 - [c102]Po-Yi Chen, Alexander H. Liu, Yen-Cheng Liu, Yu-Chiang Frank Wang:
Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation. CVPR 2019: 2624-2632 - [c101]Wen-Hsuan Chu, Yu-Jhe Li, Jing-Cheng Chang, Yu-Chiang Frank Wang:
Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification. CVPR 2019: 6251-6260 - [c100]Wei-Yu Lee, Po-Yu Chuang, Yu-Chiang Frank Wang:
Perceptual Quality Preserving Image Super-resolution via Channel Attention. ICASSP 2019: 1737-1741 - [c99]Yan-Bo Lin, Yu-Jhe Li, Yu-Chiang Frank Wang:
Dual-modality Seq2Seq Network for Audio-visual Event Localization. ICASSP 2019: 2002-2006 - [c98]Yi-Lun Liao, Yao-Cheng Yang, Yuan-Fang Lin, Pin-Jung Chen, Chia-Wen Kuo, Wei-Chen Chiu, Yu-Chiang Frank Wang:
Learning Pose-aware 3D Reconstruction via 2D-3D Self-consistency. ICASSP 2019: 3857-3861 - [c97]Yu-Jhe Li, Ci-Siang Lin, Yan-Bo Lin, Yu-Chiang Frank Wang:
Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation. ICCV 2019: 7918-7928 - [c96]Yu-Jhe Li, Yun-Chun Chen, Yen-Yu Lin, Xiaofei Du, Yu-Chiang Frank Wang:
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification. ICCV 2019: 8089-8098 - [c95]Cheng-Yen Yang, Chi-Hsin Lo, Huan-Chih Wang, Jen-Hai Chou, Yu-Chiang Frank Wang:
Weakly-Supervised Learning for Attention-Guided Skull Fracture Classification In Computed Tomography Imaging. ICIP 2019: 1337-1341 - [c94]Chia-Ching Lin, Yu-Chiang Frank Wang, Chin-Laung Lei, Kuan-Ta Chen:
Semantics-Guided Data Hallucination for Few-Shot Visual Classification. ICIP 2019: 3302-3306 - [c93]Yen-Ting Liu, Yu-Jhe Li, Fu-En Yang, Shang-Fu Chen, Yu-Chiang Frank Wang:
Learning Hierarchical Self-Attention for Video Summarization. ICIP 2019: 3377-3381 - [c92]Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira, Yu-Chiang Frank Wang, Jia-Bin Huang:
A Closer Look at Few-shot Classification. ICLR (Poster) 2019 - [i17]Yan-Bo Lin, Yu-Jhe Li, Yu-Chiang Frank Wang:
Dual-modality seq2seq network for audio-visual event localization. CoRR abs/1902.07473 (2019) - [i16]Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira, Yu-Chiang Frank Wang, Jia-Bin Huang:
A Closer Look at Few-shot Classification. CoRR abs/1904.04232 (2019) - [i15]Yun-Chun Chen, Yu-Jhe Li, Xiaofei Du, Yu-Chiang Frank Wang:
Learning Resolution-Invariant Deep Representations for Person Re-Identification. CoRR abs/1907.10843 (2019) - [i14]Chih-Ting Liu, Chih-Wei Wu, Yu-Chiang Frank Wang, Shao-Yi Chien:
Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification. CoRR abs/1908.01683 (2019) - [i13]Yu-Jhe Li, Yun-Chun Chen, Yen-Yu Lin, Xiaofei Du, Yu-Chiang Frank Wang:
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification. CoRR abs/1908.06052 (2019) - [i12]Yu-Jhe Li, Ci-Siang Lin, Yan-Bo Lin, Yu-Chiang Frank Wang:
Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation. CoRR abs/1909.09675 (2019) - 2018
- [j22]Kai-Han Lo, Yu-Chiang Frank Wang, Kai-Lung Hua:
Edge-Preserving Depth Map Upsampling by Joint Trilateral Filter. IEEE Trans. Cybern. 48(1): 371-384 (2018) - [c91]Shang-Fu Chen, Yi-Chen Chen, Chih-Kuan Yeh, Yu-Chiang Frank Wang:
Order-Free RNN With Visual Attention for Multi-Label Classification. AAAI 2018: 6714-6721 - [c90]Jan Klopp, Yu-Chiang Frank Wang, Shao-Yi Chien, Liang-Gee Chen:
Learning a Code-Space Predictor by Exploiting Intra-Image-Dependencies. BMVC 2018: 124 - [c89]Yu-Jhe Li, Fu-En Yang, Yen-Cheng Liu, Yu-Ying Yeh, Xiaofei Du, Yu-Chiang Frank Wang:
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification. CVPR Workshops 2018: 172-178 - [c88]Tzu-Sheng Kuo, Keng-Sen Tseng, Jia-Wei Yan, Yen-Cheng Liu, Yu-Chiang Frank Wang:
Deep Aggregation Net for Land Cover Classification. CVPR Workshops 2018: 252-256 - [c87]Chung-Wei Lee, Wei Fang, Chih-Kuan Yeh, Yu-Chiang Frank Wang:
Multi-Label Zero-Shot Learning With Structured Knowledge Graphs. CVPR 2018: 1576-1585 - [c86]Yen-Cheng Liu, Yu-Ying Yeh, Tzu-Chien Fu, Sheng-De Wang, Wei-Chen Chiu, Yu-Chiang Frank Wang:
Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation. CVPR 2018: 8867-8876 - [c85]Hsuan-I Ho, Wei-Chen Chiu, Yu-Chiang Frank Wang:
Summarizing First-Person Videos from Third Persons' Points of Views. ECCV (15) 2018: 72-89 - [c84]Hong-Min Chu, Chih-Kuan Yeh, Yu-Chiang Frank Wang:
Deep Generative Models for Weakly-Supervised Multi-Label Classification. ECCV (2) 2018: 409-425 - [c83]Wen-Hsuan Chu, Yu-Chiang Frank Wang:
Learning Semantics-Guided Visual Attention for Few-Shot Image Classification. ICIP 2018: 2979-2983 - [c82]Yu-Jhe Li, Hsin-Yu Chang, Yu-Jing Lin, Po-Wei Wu, Yu-Chiang Frank Wang:
Deep Reinforcement Learning for Playing 2.5D Fighting Games. ICIP 2018: 3778-3782 - [c81]Alexander H. Liu, Yen-Cheng Liu, Yu-Ying Yeh, Yu-Chiang Frank Wang:
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation. NeurIPS 2018: 2595-2604 - [i11]Yu-Jhe Li, Fu-En Yang, Yen-Cheng Liu, Yu-Ying Yeh, Xiaofei Du, Yu-Chiang Frank Wang:
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification. CoRR abs/1804.09347 (2018) - [i10]Yu-Jhe Li, Hsin-Yu Chang, Yu-Jing Lin, Po-Wei Wu, Yu-Chiang Frank Wang:
Deep Reinforcement Learning for Playing 2.5D Fighting Games. CoRR abs/1805.02070 (2018) - [i9]Alexander H. Liu, Yen-Cheng Liu, Yu-Ying Yeh, Yu-Chiang Frank Wang:
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation. CoRR abs/1809.01361 (2018) - [i8]Yi-Lun Liao, Yao-Cheng Yang, Yu-Chiang Frank Wang:
3D Shape Reconstruction from a Single 2D Image via 2D-3D Self-Consistency. CoRR abs/1811.12016 (2018) - 2017
- [c80]Chih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko, Yu-Chiang Frank Wang:
Learning Deep Latent Space for Multi-Label Classification. AAAI 2017: 2838-2844 - [c79]Shi-Yen Tao, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Semantics-Preserving Locality Embedding for Zero-Shot Learning. BMVC 2017 - [c78]Hao-Wei Lee, Chia-Po Wei, Yu-Chiang Frank Wang:
Learning Grassmann manifolds for object state discovery. ICASSP 2017: 1223-1227 - [c77]Wei-Jen Ko, Jheng-Ying Yu, Wei-Yu Chen, Yu-Chiang Frank Wang:
Enhanced canonical correlation analysis with local density for cross-domain visual classification. ICASSP 2017: 1757-1761 - [c76]Te-Li Wang, Kuan-Yun Lee, Yu-Chiang Frank Wang:
Partial image blur detection and segmentation from a single snapshot. ICASSP 2017: 1907-1911 - [c75]Yi-Hsin Chen, Wei-Yu Chen, Yu-Ting Chen, Bo-Cheng Tsai, Yu-Chiang Frank Wang, Min Sun:
No More Discrimination: Cross City Adaptation of Road Scene Segmenters. ICCV 2017: 2011-2020 - [c74]Yu-An Chen, Wei-Che Chen, Chia-Po Wei, Yu-Chiang Frank Wang:
Occlusion-aware face inpainting via generative adversarial networks. ICIP 2017: 1202-1206 - [c73]Tzu-Chien Fu, Wei-Chen Chiu, Yu-Chiang Frank Wang:
Learning guided convolutional neural networks for cross-resolution face recognition. MLSP 2017: 1-5 - [c72]Yen-Cheng Liu, Wei-Chen Chiu, Sheng-De Wang, Yu-Chiang Frank Wang:
Domain-Adaptive generative adversarial networks for sketch-to-photo inversion. MLSP 2017: 1-6 - [i7]Yi-Hsin Chen, Wei-Yu Chen, Yu-Ting Chen, Bo-Cheng Tsai, Yu-Chiang Frank Wang, Min Sun:
No More Discrimination: Cross City Adaptation of Road Scene Segmenters. CoRR abs/1704.08509 (2017) - [i6]Tzu-Chien Fu, Yen-Cheng Liu, Wei-Chen Chiu, Sheng-De Wang, Yu-Chiang Frank Wang:
Learning Cross-Domain Disentangled Deep Representation with Supervision from A Single Domain. CoRR abs/1705.01314 (2017) - [i5]Chih-Kuan Yeh, Yao-Hung Hubert Tsai, Yu-Chiang Frank Wang:
Generative-Discriminative Variational Model for Visual Recognition. CoRR abs/1706.02295 (2017) - [i4]Chih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko, Yu-Chiang Frank Wang:
Learning Deep Latent Spaces for Multi-Label Classification. CoRR abs/1707.00418 (2017) - [i3]Shang-Fu Chen, Yi-Chen Chen, Chih-Kuan Yeh, Yu-Chiang Frank Wang:
Order-Free RNN with Visual Attention for Multi-Label Classification. CoRR abs/1707.05495 (2017) - [i2]Chung-Wei Lee, Wei Fang, Chih-Kuan Yeh, Yu-Chiang Frank Wang:
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs. CoRR abs/1711.06526 (2017) - [i1]Hsuan-I Ho, Wei-Chen Chiu, Yu-Chiang Frank Wang:
For Your Eyes Only: Learning to Summarize First-Person Videos. CoRR abs/1711.08922 (2017) - 2016
- [j21]Kai-Lung Hua, Kai-Han Lo, Yu-Chiang Frank Wang:
Extended Guided Filtering for Depth Map Upsampling. IEEE Multim. 23(2): 72-83 (2016) - [j20]Kai-Han Lo, Yu-Chiang Frank Wang, Kai-Lung Hua:
Example-Based Image Textural Style Transfer. IEEE Multim. 23(4): 60-66 (2016) - [j19]Kai-Lung Hua, Shintami Chusnul Hidayati, Fang-Lin He, Chia-Po Wei, Yu-Chiang Frank Wang:
Context-aware joint dictionary learning for color image demosaicking. J. Vis. Commun. Image Represent. 38: 230-245 (2016) - [j18]Cheng-An Hou, Yao-Hung Hubert Tsai, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Unsupervised Domain Adaptation With Label and Structural Consistency. IEEE Trans. Image Process. 25(12): 5552-5562 (2016) - [j17]Kuang-Shih Huang, Po-Jui Chiu, Hsin-Mu Tsai, Chih-Chung Kuo, Hui-Yu Lee, Yu-Chiang Frank Wang:
RedEye: Preventing Collisions Caused by Red-Light Running Scooters With Smartphones. IEEE Trans. Intell. Transp. Syst. 17(5): 1243-1257 (2016) - [c71]Yao-Hung Hubert Tsai, Cheng-An Hou, Wei-Yu Chen, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Domain-Constraint Transfer Coding for Imbalanced Unsupervised Domain Adaptation. AAAI 2016: 3597-3603 - [c70]Wei-Yi Chang, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Style-oriented landmark retrieval and summarization. APSIPA 2016: 1-4 - [c69]Yao-Hung Hubert Tsai, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation. CVPR 2016: 5081-5090 - [c68]Wei-Yu Chen, Tzu-Ming Harry Hsu, Yao-Hung Hubert Tsai, Yu-Chiang Frank Wang, Ming-Syan Chen:
Transfer Neural Trees for Heterogeneous Domain Adaptation. ECCV (5) 2016: 399-414 - [c67]Ting-En Tseng, Wei-Yi Chang, Chu-Song Chen, Yu-Chiang Frank Wang:
Style retrieval from natural images. ICASSP 2016: 1561-1565 - [c66]Wei-Yi Chang, Yu-Chiang Frank Wang:
Style-centric image summarization from photographic views of a city. ICASSP 2016: 2787-2791 - [c65]Yao-Hung Hubert Tsai, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Heterogeneous domain adaptation with label and structure consistency. ICASSP 2016: 2842-2846 - [c64]Yuan-Ting Hsieh, Shi-Yen Tao, Yao-Hung Hubert Tsai, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Recognizing heterogeneous cross-domain data via generalized joint distribution adaptation. ICME 2016: 1-6 - [c63]Chia-Po Wei, Yu-Chiang Frank Wang:
With one look: 3D face shape estimation from a single snapshot. ICME 2016: 1-6 - [c62]Wei-Jen Ko, Yu-Chiang Frank Wang, Shao-Yi Chien:
Learning patch-based anchors for face hallucination. MMSP 2016: 1-5 - [c61]Hsin-Yuan Dennis Wen, Yu-Chiang Frank Wang:
Robust propagated filtering with applications to image texture filtering and beyond. MMSP 2016: 1-5 - [c60]Chih-Kuan Yeh, Wei-Chieh Wu, Yu-Chiang Frank Wang:
Learning graph fusion for query and database specific image retrieval. MMSP 2016: 1-5 - 2015
- [j16]Haw-Shiuan Chang, Yu-Chiang Frank Wang:
Optimizing the decomposition for multiple foreground cosegmentation. Comput. Vis. Image Underst. 141: 18-27 (2015) - [j15]Ting-Chu Lin, Min-Chun Yang, Chia-Yin Tsai, Yu-Chiang Frank Wang:
Query-Adaptive Multiple Instance Learning for Video Instance Retrieval. IEEE Trans. Image Process. 24(4): 1330-1340 (2015) - [j14]Chia-Po Wei, Yu-Chiang Frank Wang:
Undersampled Face Recognition via Robust Auxiliary Dictionary Learning. IEEE Trans. Image Process. 24(6): 1722-1734 (2015) - [c59]Cheng-An Hou, Yi-Ren Yeh, Yu-Chiang Frank Wang:
An unsupervised domain adaptation approach for cross-domain visual classification. AVSS 2015: 1-6 - [c58]Jen-Hao Rick Chang, Yu-Chiang Frank Wang:
Propagated image filtering. CVPR 2015: 10-18 - [c57]Min-Chun Yang, Chia-Po Wei, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Recognition at a long distance: Very low resolution face recognition and hallucination. ICB 2015: 237-242 - [c56]Tzu-Ming Harry Hsu, Wei-Yu Chen, Cheng-An Hou, Yao-Hung Hubert Tsai, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Unsupervised Domain Adaptation with Imbalanced Cross-Domain Data. ICCV 2015: 4121-4129 - [c55]Wei-Yu Chen, Tzu-Ming Harry Hsu, Cheng-An Hou, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Connecting the dots without clues: Unsupervised domain adaptation for cross-domain visual classification. ICIP 2015: 3997-4001 - [c54]Ming-Chia Tsai, Chia-Po Wei, Yu-Chiang Frank Wang:
Graph regularized low-rank matrix recovery for robust person re-identification. ICIP 2015: 4654-4658 - [c53]Wei-Yi Chang, Yu-Chiang Frank Wang:
Seeing through the appearance: Body shape estimation using multi-view clothing images. ICME 2015: 1-6 - [c52]Chia-Po Wei, Yu-Chiang Frank Wang:
Undersampled face recognition with one-pass dictionary learning. ICME 2015: 1-6 - [c51]Tzu-Yun Lin, Yu-Chiang Frank Wang, Sean Moss-Pultz:
ObjectMinutiae: Fingerprinting for Object Authentication. ACM Multimedia 2015: 815-816 - [c50]Hui-Tang Chang, Po-Cheng Pan, Yu-Chiang Frank Wang, Ming-Syan Chen:
R2P: Recomposition and Retargeting of Photographic Images. ACM Multimedia 2015: 927-930 - 2014
- [j13]Yi-Ren Yeh, Chun-Hao Huang, Yu-Chiang Frank Wang:
Heterogeneous Domain Adaptation and Classification by Exploiting the Correlation Subspace. IEEE Trans. Image Process. 23(5): 2009-2018 (2014) - [j12]Chia-Po Wei, Chih-Fan Chen, Yu-Chiang Frank Wang:
Robust Face Recognition With Structurally Incoherent Low-Rank Matrix Decomposition. IEEE Trans. Image Process. 23(8): 3294-3307 (2014) - [j11]De-An Huang, Li-Wei Kang, Yu-Chiang Frank Wang, Chia-Wen Lin:
Self-Learning Based Image Decomposition With Applications to Single Image Denoising. IEEE Trans. Multim. 16(1): 83-93 (2014) - [c49]Haw-Shiuan Chang, Yu-Chiang Frank Wang:
Simple-to-Complex Discriminative Clustering for Hierarchical Image Segmentation. ACCV (3) 2014: 391-407 - [c48]Chia-Yin Tsai, Ting-Chu Lin, Chia-Po Wei, Yu-Chiang Frank Wang:
Extended-bag-of-features for translation, rotation, and scale-invariant image retrieval. ICASSP 2014: 6874-6878 - [c47]Yao-Hung Tsai, Hung-Ming Hsu, Cheng-An Hou, Yu-Chiang Frank Wang:
Person-specific domain adaptation with applications to heterogeneous face recognition. ICIP 2014: 338-342 - [c46]Ming-Hang Fu, Yu-Chiang Frank Wang, Chu-Song Chen:
Exploiting low-rank structures from cross-camera images for robust person re-identification. ICIP 2014: 2427-2431 - [c45]Shao-Hua Sun, Shang-Pu Fan, Yu-Chiang Frank Wang:
Exploiting image structural similarity for single image rain removal. ICIP 2014: 4482-4486 - [c44]Wei-Yi Chang, Chia-Po Wei, Yu-Chiang Frank Wang:
Multi-view Nonnegative Matrix Factorization for Clothing Image Characterization. ICPR 2014: 1272-1277 - [c43]Cheng-An Hou, Min-Chun Yang, Yu-Chiang Frank Wang:
Domain Adaptive Self-Taught Learning for Heterogeneous Face Recognition. ICPR 2014: 3068-3073 - [c42]Hui-Tang Chang, Yu-Chiang Frank Wang, Ming-Syan Chen:
Transfer in Photography Composition. ACM Multimedia 2014: 957-960 - 2013
- [j10]Shih-Wei Sun, Yu-Chiang Frank Wang, Fay Huang, Hong-Yuan Mark Liao:
Moving foreground object detection via robust SIFT trajectories. J. Vis. Commun. Image Represent. 24(3): 232-243 (2013) - [j9]Yi-Ren Yeh, Yu-Chiang Frank Wang:
A rank-one update method for least squares linear discriminant analysis with concept drift. Pattern Recognit. 46(5): 1267-1276 (2013) - [j8]Chia-Po Wei, Yu-Wei Chao, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Locality-sensitive dictionary learning for sparse representation based classification. Pattern Recognit. 46(5): 1277-1287 (2013) - [j7]Wei-Te Li, Haw-Shiuan Chang, Kuo-Chin Lien, Hui-Tang Chang, Yu-Chiang Frank Wang:
Exploring Visual and Motion Saliency for Automatic Video Object Extraction. IEEE Trans. Image Process. 22(7): 2600-2610 (2013) - [j6]Yuh-Jye Lee, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Anomaly Detection via Online Oversampling Principal Component Analysis. IEEE Trans. Knowl. Data Eng. 25(7): 1460-1470 (2013) - [j5]Min-Chun Yang, Woo Kyung Moon, Yu-Chiang Frank Wang, Min Sun Bae, Chiun-Sheng Huang, Jeon-Hor Chen, Ruey-Feng Chang:
Robust Texture Analysis Using Multi-Resolution Gray-Scale Invariant Features for Breast Sonographic Tumor Diagnosis. IEEE Trans. Medical Imaging 32(12): 2262-2273 (2013) - [j4]Min-Chun Yang, Yu-Chiang Frank Wang:
A Self-Learning Approach to Single Image Super-Resolution. IEEE Trans. Multim. 15(3): 498-508 (2013) - [c41]Chia-Po Wei, Yen-Ming Huang, Yu-Chiang Frank Wang, Ming-Yu Shih:
Background Recovery in Railroad Crossing Videos via Incremental Low-Rank Matrix Decomposition. ACPR 2013: 702-706 - [c40]Kai-Han Lo, Kai-Lung Hua, Yu-Chiang Frank Wang:
Depth map super-resolution via Markov Random Fields without texture-copying artifacts. ICASSP 2013: 1414-1418 - [c39]De-An Huang, Yu-Chiang Frank Wang:
Coupled Dictionary and Feature Space Learning with Applications to Cross-Domain Image Synthesis and Recognition. ICCV 2013: 2496-2503 - [c38]Yen-Cheng Chou, Chia-Po Wei, Yu-Chiang Frank Wang:
A discriminative domain adaptation model for cross-domain image classification. ICIP 2013: 3083-3087 - [c37]Wen-Sheng Tseng, Lun-Kai Hsu, Li-Wei Kang, Yu-Chiang Frank Wang:
Cross-view action recognition via low-rank based domain adaptation. ICIP 2013: 3244-3248 - [c36]Haw-Shiuan Chang, Yu-Chiang Frank Wang:
Superpixel-based large displacement optical flow. ICIP 2013: 3835-3839 - [c35]Lun-Kai Hsu, Wen-Sheng Tseng, Li-Wei Kang, Yu-Chiang Frank Wang:
Seeing through the expression: Bridging the gap between expression and emotion recognition. ICME 2013: 1-6 - [c34]Chiao-Meng Huang, Chia-Po Wei, Yu-Chiang Frank Wang:
Active learning based clothing image recommendation with implicit user preferences. ICME Workshops 2013: 1-4 - [c33]Chia-Po Wei, Yu-Chiang Frank Wang:
Learning auxiliary dictionaries for undersampled face recognition. ICME 2013: 1-6 - [c32]De-An Huang, Yu-Chiang Frank Wang:
With one look: robust face recognition using single sample per person. ACM Multimedia 2013: 601-604 - [c31]Ming-Hen Tsai, Yi-Ren Yeh, Yuh-Jye Lee, Yu-Chiang Frank Wang:
Solving Nonlinear SVM in Linear Time? A Nyström Approximated SVM with Applications to Image Classification. MVA 2013: 5-8 - [c30]Kai-Han Lo, Yu-Chiang Frank Wang, Kai-Lung Hua:
Joint trilateral filtering for depth map super-resolution. VCIP 2013: 1-6 - 2012
- [j3]Yi-Ren Yeh, Ting-Chu Lin, Yung-Yu Chung, Yu-Chiang Frank Wang:
A Novel Multiple Kernel Learning Framework for Heterogeneous Feature Fusion and Variable Selection. IEEE Trans. Multim. 14(3-1): 563-574 (2012) - [c29]Ting-Chu Lin, Jau-Hong Kao, Chin-Te Liu, Chia-Yin Tsai, Yu-Chiang Frank Wang:
Video instance search for embedded marketing. APSIPA 2012: 1-4 - [c28]Chih-Fan Chen, Chia-Po Wei, Yu-Chiang Frank Wang:
Low-rank matrix recovery with structural incoherence for robust face recognition. CVPR 2012: 2618-2625 - [c27]Chun-Hao Huang, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Recognizing Actions across Cameras by Exploring the Correlated Subspace. ECCV Workshops (1) 2012: 342-351 - [c26]Wei-Te Li, Hui-Tang Chang, Hermes Shing Lyu, Yu-Chiang Frank Wang:
Automatic saliency inspired foreground object extraction from videos. ICIP 2012: 1089-1092 - [c25]Fang-Lin He, Yu-Chiang Frank Wang, Kai-Lung Hua:
Self-learning approach to color demosaicking via support vector regression. ICIP 2012: 2765-2768 - [c24]De-An Huang, Li-Wei Kang, Min-Chun Yang, Chia-Wen Lin, Yu-Chiang Frank Wang:
Context-Aware Single Image Rain Removal. ICME 2012: 164-169 - [c23]Min-Chun Yang, De-An Huang, Chih-Yun Tsai, Yu-Chiang Frank Wang:
Self-Learning of Edge-Preserving Single Image Super-Resolution via Contourlet Transform. ICME 2012: 574-579 - [c22]Chiao-Meng Huang, Shannon Chen, Michael Cheng, Yu-Chiang Frank Wang:
A sparse-coding based approach to clothing image retrieval. ISPACS 2012: 314-318 - [c21]Chih-Yun Tsai, De-An Huang, Min-Chun Yang, Li-Wei Kang, Yu-Chiang Frank Wang:
Context-aware single image super-resolution using locality-constrained group sparse representation. VCIP 2012: 1-6 - 2011
- [c20]Yu-Wei Chao, Yi-Ren Yeh, Yu-Wen Chen, Yuh-Jye Lee, Yu-Chiang Frank Wang:
Locality-constrained group sparse representation for robust face recognition. ICIP 2011: 761-764 - [c19]Ming-Chun Yang, Chang-Heng Wang, Ting-Yao Hu, Yu-Chiang Frank Wang:
Learning context-aware sparse representation for single image super-resolution. ICIP 2011: 1349-1352 - [c18]Ching-Hui Chen, Wei-Ho Chung, Yu-Chiang Frank Wang:
Joint source-channel coding optimization with packet loss resilience for video transmission. ICIP 2011: 2197-2200 - [c17]Ching-Hui Chen, Wei-Ho Chung, Yu-Chiang Frank Wang:
Cross-layer design for video streaming with dynamic antenna selection. ICIP 2011: 3245-3248 - [c16]Kuo-Chin Lien, Yu-Chiang Frank Wang:
Automatic object extraction in single-concept videos. ICME 2011: 1-6 - [c15]Shih-Wei Sun, Yu-Chiang Frank Wang, Yao-Ling Hung, Chia-Ling Chang, Kuan-Chieh Chen, Shih-Sian Cheng, Hsin-Min Wang, Hong-Yuan Mark Liao:
Automatic annotation of Web videos. ICME 2011: 1-6 - [c14]Yi-Ren Yeh, Yung-Yu Chung, Ting-Chu Lin, Yu-Chiang Frank Wang:
Group lasso regularized multiple kernel learning for heterogeneous feature selection. IJCNN 2011: 2570-2577 - [c13]Chih-Fan Chen, Yu-Chiang Frank Wang:
Exploring self-similarities of bag-of-features for image classification. ACM Multimedia 2011: 1421-1424 - [c12]Ming-Chun Yang, Ting-Yao Hu, Chang-Heng Wang, Yu-Chiang Frank Wang:
Learning of context-aware single image super-resolution. VCIP 2011: 1-4 - [c11]Tsung-Yi Lin, Yen-Yu Lin, Ming-Fang Weng, Yu-Chiang Frank Wang, Yu-Feng Hsu, Hong-Yuan Mark Liao:
Cross camera people counting with perspective estimation and occlusion handling. WIFS 2011: 1-6 - 2010
- [c10]Shao-Chuan Wang, Yu-Chiang Frank Wang:
A Multi-Scale Learning Framework for Visual Categorization. ACCV (1) 2010: 310-322 - [c9]Wang-Chou Lu, Yu-Chiang Frank Wang, Chu-Song Chen:
Learning Dense Optical-Flow Trajectory Patterns for Video Object Extraction. AVSS 2010: 315-322 - [c8]Shao-Chuan Wang, Yu-Chiang Frank Wang:
Simultaneous Object Recognition and Localization in Image Collections. AVSS 2010: 497-504 - [c7]Ming-Chun Yang, Chao-Tsung Chu, Yu-Chiang Frank Wang:
Learning sparse image representation with support vector regression for single-image super-resolution. ICIP 2010: 1973-1976 - [c6]Shao-Chuan Wang, Yu-Chiang Frank Wang:
Segmentation-free object localization in image collections. ICME 2010: 1546-1551
2000 – 2009
- 2009
- [c5]Yu-Chiang Frank Wang, David P. Casasent:
A support vector hierarchical method for multi-class classification and rejection. IJCNN 2009: 3281-3288 - 2008
- [j2]Yu-Chiang Frank Wang, David P. Casasent:
New support vector-based design method for binary hierarchical classifiers for multi-class classification problems. Neural Networks 21(2-3): 502-510 (2008) - [c4]Yu-Chiang Frank Wang, David P. Casasent:
Soft-decision hierarchical classification using SVM-type classifiers. IJCNN 2008: 1793-1800 - 2007
- [c3]Yu-Chiang Frank Wang, David P. Casasent:
New Weighted Support Vector K-means Clustering for Hierarchical Multi-class Classification. IJCNN 2007: 471-476 - 2006
- [c2]Yu-Chiang Frank Wang, David P. Casasent:
Hierarchical K-means Clustering Using New Support Vector Machines for Multi-class Classification. IJCNN 2006: 3457-3464 - 2005
- [j1]David P. Casasent, Yu-Chiang Frank Wang:
A hierarchical classifier using new support vector machines for automatic target recognition. Neural Networks 18(5-6): 541-548 (2005) - [c1]Yu-Chiang Frank Wang, David P. Casasent:
A Hierarchical Classifier Using New Support Vector Machine. ICDAR 2005: 851-855
Coauthor Index
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