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ORCIDZhe Lin 0001
Zhe L. Lin
Person information
- affiliation: Adobe Systems, Inc., San Jose, CA, USA
- affiliation (PhD 2009): University of Maryland, College Park, MD, USA
Other persons with the same name
- Zhe Lin — disambiguation page
- Zhe Lin 0002 — Sun Yat-sen University, Institute of Logic and Cognition, Guangzhou, China (and 1 more)
- Zhe Lin 0003 — Chaoyang University of Technology, Taichung, Taiwan
- Zhe Lin 0004 — Beijing Genomics Institute, Shenzhen
- Zhe Lin 0005 — Fudan University, Shanghai, China
- Zhe Lin 0006 — Shanghai Maritime University, Shanghai, China
- Zhe Lin 0007
![[0000-0001-9911-1197]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9911-1197")
— Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong
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2020 – today
- 2025
[i114]Luozhou Wang, Yijun Li, Zhifei Chen, Jui-Hsien Wang, Zhifei Zhang, He Zhang, Zhe Lin, Yingcong Chen:
TransPixeler: Advancing Text-to-Video Generation with Transparency. CoRR abs/2501.03006 (2025)- [i113]Gemma Canet Tarres, Zhe L. Lin, Zhifei Zhang, He Zhang, Andrew Gilbert, John P. Collomosse, Soo Ye Kim:
Multitwine: Multi-Object Compositing with Text and Layout Control. CoRR abs/2502.05165 (2025) - [i112]Xin Yu, Tianyu Wang, Soo Ye Kim, Paul Guerrero, Xi Chen, Qing Liu, Zhe Lin, Xiaojuan Qi:
ObjectMover: Generative Object Movement with Video Prior. CoRR abs/2503.08037 (2025) - 2024
- [j30]Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Eli Shechtman, Connelly Barnes, Jianming Zhang, Qing Liu, Sohrab Amirghodsi, Yuqian Zhou, Jiebo Luo:
Structure-Guided Image Completion With Image-Level and Object-Level Semantic Discriminators. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7669-7681 (2024) - [c166]Bowen Zhang, Qing Liu, Jianming Zhang, Yilin Wang, Liyang Liu, Zhe Lin, Yifan Liu:
Amodal Scene Analysis via Holistic Occlusion Relation Inference and Generative Mask Completion. AAAI 2024: 6997-7005 - [c165]Nannan Li, Qing Liu, Krishna Kumar Singh, Yilin Wang, Jianming Zhang, Bryan A. Plummer, Zhe Lin:
UniHuman: A Unified Model For Editing Human Images in the Wild. CVPR 2024: 2039-2048 - [c164]Yizhi Song, Zhifei Zhang, Zhe Lin, Scott Cohen, Brian L. Price, Jianming Zhang, Soo Ye Kim, He Zhang, Wei Xiong, Daniel G. Aliaga:
IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation. CVPR 2024: 8048-8058 - [c163]Shaoteng Liu, Yuechen Zhang, Wenbo Li, Zhe Lin, Jiaya Jia:
Video-P2P: Video Editing with Cross-Attention Control. CVPR 2024: 8599-8608 - [c162]Hanrong Ye, Jason Kuen, Qing Liu, Zhe Lin, Brian L. Price, Dan Xu:
SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis. ECCV (8) 2024: 352-370 - [c161]Yuheng Li, Haotian Liu, Mu Cai, Yijun Li, Eli Shechtman, Zhe Lin, Yong Jae Lee, Krishna Kumar Singh:
Removing Distributional Discrepancies in Captions Improves Image-Text Alignment. ECCV (21) 2024: 405-422 - [c160]Gemma Canet Tarres, Zhe Lin, Zhifei Zhang, Jianming Zhang, Yizhi Song, Dan Ruta, Andrew Gilbert, John P. Collomosse, Soo Ye Kim:
Thinking Outside the BBox: Unconstrained Generative Object Compositing. ECCV (62) 2024: 476-495 - [c159]Yue Bai, Handong Zhao, Zhe Lin, Ajinkya Kale, Jiuxiang Gu, Tong Yu, Sungchul Kim, Yun Fu:
Advancing Vision-Language Models with Adapter Ensemble Strategies. EMNLP (Findings) 2024: 15702-15720 - [c158]Wenbo Li, Xin Yu, Kun Zhou, Yibing Song, Zhe Lin:
Image Inpainting via Iteratively Decoupled Probabilistic Modeling. ICLR 2024 - [c157]Zhengzhe Liu, Qing Liu, Chirui Chang, Jianming Zhang, Daniil Pakhomov, Haitian Zheng, Zhe Lin, Daniel Cohen-Or, Chi-Wing Fu:
Object-level Scene Deocclusion. SIGGRAPH (Conference Paper Track) 2024: 104 - [c156]Kangfu Mei, Luis Figueroa, Zhe Lin, Zhihong Ding, Scott Cohen, Vishal M. Patel:
Latent Feature-Guided Diffusion Models for Shadow Removal. WACV 2024: 4301-4310 - [c155]Ziyan Yang, Kushal Kafle, Zhe Lin, Scott Cohen, Zhihong Ding, Vicente Ordonez:
SCoRD: Subject-Conditional Relation Detection with Text-Augmented Data. WACV 2024: 5719-5729 - [i111]Yizhi Song, Zhifei Zhang, Zhe Lin, Scott Cohen, Brian L. Price, Jianming Zhang, Soo Ye Kim, He Zhang, Wei Xiong, Daniel G. Aliaga:
IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation. CoRR abs/2403.10701 (2024) - [i110]Zhengzhe Liu, Qing Liu, Chirui Chang, Jianming Zhang, Daniil Pakhomov, Haitian Zheng, Zhe Lin, Daniel Cohen-Or, Chi-Wing Fu:
Object-level Scene Deocclusion. CoRR abs/2406.07706 (2024) - [i109]Gemma Canet Tarres, Zhe Lin, Zhifei Zhang, Jianming Zhang, Yizhi Song, Dan Ruta, Andrew Gilbert, John P. Collomosse, Soo Ye Kim:
Thinking Outside the BBox: Unconstrained Generative Object Compositing. CoRR abs/2409.04559 (2024) - [i108]Yuheng Li, Haotian Liu, Mu Cai, Yijun Li, Eli Shechtman, Zhe Lin, Yong Jae Lee, Krishna Kumar Singh:
Removing Distributional Discrepancies in Captions Improves Image-Text Alignment. CoRR abs/2410.00905 (2024) - [i107]Yuanhao Cai, He Zhang, Kai Zhang, Yixun Liang, Mengwei Ren, Fujun Luan, Qing Liu, Soo Ye Kim, Jianming Zhang, Zhifei Zhang, Yuqian Zhou, Zhe Lin, Alan L. Yuille:
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation. CoRR abs/2411.14384 (2024) - [i106]Jinrui Yang, Qing Liu, Yijun Li, Soo Ye Kim, Daniil Pakhomov, Mengwei Ren, Jianming Zhang, Zhe Lin, Cihang Xie, Yuyin Zhou:
Generative Image Layer Decomposition with Visual Effects. CoRR abs/2411.17864 (2024) - [i105]Yizhi Song, Liu He, Zhifei Zhang, Soo Ye Kim, He Zhang, Wei Xiong, Zhe Lin, Brian L. Price, Scott Cohen, Jianming Zhang, Daniel G. Aliaga:
Refine-by-Align: Reference-Guided Artifacts Refinement through Semantic Alignment. CoRR abs/2412.00306 (2024) - [i104]Tianyu Wang, Jianming Zhang, Haitian Zheng, Zhihong Ding, Scott Cohen, Zhe L. Lin, Wei Xiong, Chi-Wing Fu, Luis Figueroa, Soo Ye Kim:
MetaShadow: Object-Centered Shadow Detection, Removal, and Synthesis. CoRR abs/2412.02635 (2024) - [i103]Yusuf Dalva, Yijun Li, Qing Liu, Nanxuan Zhao, Jianming Zhang, Zhe Lin, Pinar Yanardag:
LayerFusion: Harmonized Multi-Layer Text-to-Image Generation with Generative Priors. CoRR abs/2412.04460 (2024) - [i102]Xi Chen, Zhifei Zhang, He Zhang, Yuqian Zhou, Soo Ye Kim, Qing Liu, Yijun Li, Jianming Zhang, Nanxuan Zhao, Yilin Wang, Hui Ding, Zhe Lin, Hengshuang Zhao:
UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics. CoRR abs/2412.07774 (2024) - [i101]Shaoteng Liu, Tianyu Wang, Jui-Hsien Wang, Qing Liu, Zhifei Zhang, Joon-Young Lee, Yijun Li, Bei Yu, Zhe Lin, Soo Ye Kim, Jiaya Jia:
Generative Video Propagation. CoRR abs/2412.19761 (2024) - 2023
- [j29]Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Jianming Zhang, Ning Xu, Jiebo Luo:
Semantic Layout Manipulation With High-Resolution Sparse Attention. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3768-3782 (2023) - [j28]Lu Qi, Jason Kuen, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Philip H. S. Torr, Zhe Lin, Jiaya Jia:
Open World Entity Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8743-8756 (2023) - [c154]Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen:
TopNet: Transformer-Based Object Placement Network for Image Compositing. CVPR 2023: 1838-1847 - [c153]Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang:
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models. CVPR 2023: 1900-1910 - [c152]Yizhi Song, Zhifei Zhang, Zhe Lin, Scott Cohen, Brian L. Price, Jianming Zhang, Soo Ye Kim, Daniel G. Aliaga:
ObjectStitch: Object Compositing with Diffusion Model. CVPR 2023: 18310-18319 - [c151]Shaoan Xie, Zhifei Zhang, Zhe Lin, Tobias Hinz, Kun Zhang:
SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model. CVPR 2023: 22428-22437 - [c150]Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John P. Collomosse, Jason Kuen, Vishal M. Patel:
SceneComposer: Any-Level Semantic Image Synthesis. CVPR 2023: 22468-22478 - [c149]Lu Qi, Jason Kuen, Tiancheng Shen, Jiuxiang Gu, Wenbo Li, Weidong Guo, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang:
High Quality Entity Segmentation. ICCV 2023: 4024-4033 - [c148]Lingzhi Zhang, Zhengjie Xu, Connelly Barnes, Yuqian Zhou, Qing Liu, He Zhang, Sohrab Amirghodsi, Zhe Lin, Eli Shechtman, Jianbo Shi:
Perceptual Artifacts Localization for Image Synthesis Tasks. ICCV 2023: 7545-7556 - [c147]Qiucheng Wu, Yujian Liu, Handong Zhao, Trung Bui, Zhe Lin, Yang Zhang, Shiyu Chang:
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis. ICCV 2023: 7732-7742 - [c146]Jeya Maria Jose Valanarasu, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Jose Echevarria, Yinglan Ma, Zijun Wei, Kalyan Sunkavalli, Vishal Patel:
Interactive Portrait Harmonization. ICLR 2023 - [c145]Lu Qi, Jason Kuen, Weidong Guo, Jiuxiang Gu, Zhe Lin, Bo Du, Yu Xu, Ming-Hsuan Yang:
AIMS: All-Inclusive Multi-Level Segmentation for Anything. NeurIPS 2023 - [c144]Bo Sun, Jason Kuen, Zhe Lin, Philippos Mordohai, Simon Chen:
PRN: Panoptic Refinement Network. WACV 2023: 3952-3962 - [i100]Shaoteng Liu, Yuechen Zhang, Wenbo Li, Zhe Lin, Jiaya Jia:
Video-P2P: Video Editing with Cross-attention Control. CoRR abs/2303.04761 (2023) - [i99]Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen:
TopNet: Transformer-based Object Placement Network for Image Compositing. CoRR abs/2304.03372 (2023) - [i98]Qiucheng Wu, Yujian Liu, Handong Zhao, Trung Bui, Zhe Lin, Yang Zhang, Shiyu Chang:
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis. CoRR abs/2304.03869 (2023) - [i97]Lu Qi, Jason Kuen, Weidong Guo, Jiuxiang Gu, Zhe Lin, Bo Du, Yu Xu, Ming-Hsuan Yang:
AIMS: All-Inclusive Multi-Level Segmentation. CoRR abs/2305.17768 (2023) - [i96]Ziyan Yang, Kushal Kafle, Zhe Lin, Scott Cohen, Zhihong Ding, Vicente Ordonez:
SCoRD: Subject-Conditional Relation Detection with Text-Augmented Data. CoRR abs/2308.12910 (2023) - [i95]Lingzhi Zhang, Zhengjie Xu, Connelly Barnes, Yuqian Zhou, Qing Liu, He Zhang, Sohrab Amirghodsi, Zhe Lin, Eli Shechtman, Jianbo Shi:
Perceptual Artifacts Localization for Image Synthesis Tasks. CoRR abs/2310.05590 (2023) - [i94]Hanrong Ye, Jason Kuen, Qing Liu, Zhe Lin, Brian L. Price, Dan Xu:
SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis. CoRR abs/2311.03355 (2023) - [i93]Kangfu Mei, Luis Figueroa, Zhe Lin, Zhihong Ding, Scott Cohen, Vishal M. Patel:
Latent Feature-Guided Diffusion Models for Shadow Removal. CoRR abs/2312.02156 (2023) - [i92]Nannan Li, Qing Liu, Krishna Kumar Singh, Yilin Wang, Jianming Zhang, Bryan A. Plummer, Zhe Lin:
UniHuman: A Unified Model for Editing Human Images in the Wild. CoRR abs/2312.14985 (2023) - 2022
- [c143]Sangryul Jeon, Zhifei Zhang, Zhe Lin, Scott Cohen, Zhihong Ding, Kwanghoon Sohn:
COAT: Correspondence-driven Object Appearance Transfer. BMVC 2022: 1053 - [c142]Zhankui He, Handong Zhao, Zhaowen Wang, Zhe Lin, Ajinkya Kale, Julian J. McAuley:
Query-Aware Sequential Recommendation. CIKM 2022: 4019-4023 - [c141]Tiancheng Shen, Yuechen Zhang, Lu Qi, Jason Kuen, Xingyu Xie, Jianlong Wu, Zhe Lin, Jiaya Jia:
High Quality Segmentation for Ultra High-resolution Images. CVPR 2022: 1300-1309 - [c140]Soo Ye Kim, Jianming Zhang, Simon Niklaus, Yifei Fan, Simon Chen, Zhe Lin, Munchurl Kim:
Layered Depth Refinement with Mask Guidance. CVPR 2022: 3845-3855 - [c139]Yu Zeng, Zhe Lin, Vishal M. Patel:
SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches. CVPR 2022: 5941-5951 - [c138]Dat Huynh, Jason Kuen, Zhe Lin, Jiuxiang Gu, Ehsan Elhamifar:
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling. CVPR 2022: 7010-7021 - [c137]Wenbo Li, Zhe Lin, Kun Zhou, Lu Qi, Yi Wang, Jiaya Jia:
MAT: Mask-Aware Transformer for Large Hole Image Inpainting. CVPR 2022: 10748-10758 - [c136]Chenglin Yang, Yilin Wang, Jianming Zhang, He Zhang, Zijun Wei, Zhe Lin, Alan L. Yuille:
Lite Vision Transformer with Enhanced Self-Attention. CVPR 2022: 11988-11998 - [c135]Haoyu Ma, Handong Zhao, Zhe Lin, Ajinkya Kale, Zhangyang Wang, Tong Yu, Jiuxiang Gu, Sunav Choudhary, Xiaohui Xie:
EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval. CVPR 2022: 18030-18040 - [c134]Lingzhi Zhang, Connelly Barnes, Kevin Wampler, Sohrab Amirghodsi, Eli Shechtman, Zhe Lin, Jianbo Shi:
Inpainting at Modern Camera Resolution by Guided PatchMatch with Auto-curation. ECCV (17) 2022: 51-67 - [c133]Lu Qi, Jason Kuen, Zhe Lin, Jiuxiang Gu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen, Ming-Hsuan Yang, Jiaya Jia:
CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation. ECCV (31) 2022: 59-77 - [c132]Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, Sun-Yuan Kung:
3D-FM GAN: Towards 3D-Controllable Face Manipulation. ECCV (15) 2022: 107-125 - [c131]Lingzhi Zhang, Yuqian Zhou, Connelly Barnes, Sohrab Amirghodsi, Zhe Lin, Eli Shechtman, Jianbo Shi:
Perceptual Artifacts Localization for Inpainting. ECCV (29) 2022: 146-164 - [c130]Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava:
Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers. ECCV (25) 2022: 201-219 - [c129]Dan Ruta, Andrew Gilbert, Saeid Motiian, Baldo Faieta, Zhe Lin, John P. Collomosse:
HyperNST: Hyper-Networks for Neural Style Transfer. ECCV Workshops (1) 2022: 201-217 - [c128]Dan Ruta, Andrew Gilbert, Pranav Aggarwal, Naveen Marri, Ajinkya Kale, Jo Briggs, Chris Speed, Hailin Jin, Baldo Faieta, Alex Filipkowski, Zhe Lin, John P. Collomosse:
StyleBabel: Artistic Style Tagging and Captioning. ECCV (8) 2022: 219-236 - [c127]Yichen Sheng, Yifan Liu, Jianming Zhang, Wei Yin, A. Cengiz Öztireli, He Zhang, Zhe Lin, Eli Shechtman, Bedrich Benes:
Controllable Shadow Generation Using Pixel Height Maps. ECCV (23) 2022: 240-256 - [c126]Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Eli Shechtman, Connelly Barnes, Jianming Zhang, Ning Xu, Sohrab Amirghodsi, Jiebo Luo:
Image Inpainting with Cascaded Modulation GAN and Object-Aware Training. ECCV (16) 2022: 277-296 - [c125]Cusuh Ham, Gemma Canet Tarres, Tu Bui, James Hays, Zhe Lin, John P. Collomosse:
CoGS: Controllable Generation and Search from Sketch and Style. ECCV (16) 2022: 632-650 - [c124]Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen:
GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing. ECCV (27) 2022: 676-692 - [i91]Dan Ruta, Andrew Gilbert, Pranav Aggarwal, Naveen Marri, Ajinkya Kale, Jo Briggs, Chris Speed, Hailin Jin, Baldo Faieta, Alex Filipkowski, Zhe Lin, John P. Collomosse:
StyleBabel: Artistic Style Tagging and Captioning. CoRR abs/2203.05321 (2022) - [i90]Jeya Maria Jose Valanarasu, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Jose Echevarria, Yinglan Ma, Zijun Wei, Kalyan Sunkavalli, Vishal M. Patel:
Interactive Portrait Harmonization. CoRR abs/2203.08216 (2022) - [i89]Cusuh Ham, Gemma Canet Tarres, Tu Bui, James Hays, Zhe Lin, John P. Collomosse:
CoGS: Controllable Generation and Search from Sketch and Style. CoRR abs/2203.09554 (2022) - [i88]Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Eli Shechtman, Connelly Barnes, Jianming Zhang, Ning Xu, Sohrab Amirghodsi, Jiebo Luo:
CM-GAN: Image Inpainting with Cascaded Modulation GAN and Object-Aware Training. CoRR abs/2203.11947 (2022) - [i87]Wenbo Li, Zhe Lin, Kun Zhou, Lu Qi, Yi Wang, Jiaya Jia:
MAT: Mask-Aware Transformer for Large Hole Image Inpainting. CoRR abs/2203.15270 (2022) - [i86]Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen:
GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing. CoRR abs/2204.00125 (2022) - [i85]Yu Zeng, Zhe Lin, Vishal M. Patel:
Shape-guided Object Inpainting. CoRR abs/2204.07845 (2022) - [i84]Soo Ye Kim, Jianming Zhang, Simon Niklaus, Yifei Fan, Simon Chen, Zhe Lin, Munchurl Kim:
Layered Depth Refinement with Mask Guidance. CoRR abs/2206.03048 (2022) - [i83]Yichen Sheng, Yifan Liu, Jianming Zhang, Wei Yin, A. Cengiz Öztireli, He Zhang, Zhe Lin, Eli Shechtman, Bedrich Benes:
Controllable Shadow Generation Using Pixel Height Maps. CoRR abs/2207.05385 (2022) - [i82]Lingzhi Zhang, Yuqian Zhou, Connelly Barnes, Sohrab Amirghodsi, Zhe Lin, Eli Shechtman, Jianbo Shi:
Perceptual Artifacts Localization for Inpainting. CoRR abs/2208.03357 (2022) - [i81]Dan Ruta, Andrew Gilbert, Saeid Motiian, Baldo Faieta, Zhe Lin, John P. Collomosse:
HyperNST: Hyper-Networks for Neural Style Transfer. CoRR abs/2208.04807 (2022) - [i80]Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, John P. Collomosse:
Text-to-Image Generation via Implicit Visual Guidance and Hypernetwork. CoRR abs/2208.08493 (2022) - [i79]Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, Sun-Yuan Kung:
3D-FM GAN: Towards 3D-Controllable Face Manipulation. CoRR abs/2208.11257 (2022) - [i78]Lu Qi, Jason Kuen, Weidong Guo, Tiancheng Shen, Jiuxiang Gu, Wenbo Li, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang:
Fine-Grained Entity Segmentation. CoRR abs/2211.05776 (2022) - [i77]Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John P. Collomosse, Jason Kuen, Vishal M. Patel:
SceneComposer: Any-Level Semantic Image Synthesis. CoRR abs/2211.11742 (2022) - [i76]Yizhi Song, Zhifei Zhang, Zhe Lin, Scott Cohen, Brian L. Price, Jianming Zhang, Soo Ye Kim, Daniel G. Aliaga:
ObjectStitch: Generative Object Compositing. CoRR abs/2212.00932 (2022) - [i75]Wenbo Li, Xin Yu, Kun Zhou, Yibing Song, Zhe Lin, Jiaya Jia:
SDM: Spatial Diffusion Model for Large Hole Image Inpainting. CoRR abs/2212.02963 (2022) - [i74]Shaoan Xie, Zhifei Zhang, Zhe Lin, Tobias Hinz, Kun Zhang:
SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model. CoRR abs/2212.05034 (2022) - [i73]Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Eli Shechtman, Connelly Barnes, Jianming Zhang, Qing Liu, Yuqian Zhou, Sohrab Amirghodsi, Jiebo Luo:
Structure-Guided Image Completion with Image-level and Object-level Semantic Discriminators. CoRR abs/2212.06310 (2022) - [i72]Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang:
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models. CoRR abs/2212.08698 (2022) - 2021
- [j27]Zijun Wei, Boyu Wang, Minh Hoai, Jianming Zhang, Xiaohui Shen, Zhe Lin, Radomír Mech, Dimitris Samaras:
Sequence-to-Segments Networks for Detecting Segments in Videos. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 1009-1021 (2021) - [j26]Ping Hu, Federico Perazzi, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Kate Saenko, Stan Sclaroff:
Real-Time Semantic Segmentation With Fast Attention. IEEE Robotics Autom. Lett. 6(1): 263-270 (2021) - [c123]Zhankui He, Handong Zhao, Zhe Lin, Zhaowen Wang, Ajinkya Kale, Julian J. McAuley:
Locker: Locally Constrained Self-Attentive Sequential Recommendation. CIKM 2021: 3088-3092 - [c122]Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, Alan L. Yuille:
Mask Guided Matting via Progressive Refinement Network. CVPR 2021: 1154-1163 - [c121]Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang, Michael Maire, Ajinkya Kale, Baldo Faieta:
Multimodal Contrastive Training for Visual Representation Learning. CVPR 2021: 6995-7004 - [c120]Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Federico Perazzi, Sun-Yuan Kung:
Content-Aware GAN Compression. CVPR 2021: 12156-12166 - [c119]Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava:
Learning To Predict Visual Attributes in the Wild. CVPR 2021: 13018-13028 - [c118]Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia:
Multi-Scale Aligned Distillation for Low-Resolution Detection. CVPR 2021: 14443-14453 - [c117]Yifan Jiang, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Kalyan Sunkavalli, Simon Chen, Sohrab Amirghodsi, Sarah Kong, Zhangyang Wang:
SSH: A Self-Supervised Framework for Image Harmonization. ICCV 2021: 4812-4821 - [c116]Dan Ruta, Saeid Motiian, Baldo Faieta, Zhe Lin, Hailin Jin, Alex Filipkowski, Andrew Gilbert, John P. Collomosse:
ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity. ICCV 2021: 11906-11915 - [c115]Alireza Zaeemzadeh, Shabnam Ghadar, Baldo Faieta, Zhe Lin, Nazanin Rahnavard, Mubarak Shah, Ratheesh Kalarot:
Face Image Retrieval with Attribute Manipulation. ICCV 2021: 12096-12105 - [c114]Yu Zeng, Zhe Lin, Huchuan Lu, Vishal M. Patel:
CR-Fill: Generative Image Inpainting with Auxiliary Contextual Reconstruction. ICCV 2021: 14144-14153 - [c113]He Zhang, Jianming Zhang, Federico Perazzi, Zhe Lin, Vishal M. Patel:
Deep Image Compositing. WACV 2021: 365-374 - [c112]Siavash Khodadadeh, Saeid Motiian, Zhe Lin, Ladislau Bölöni, Shabnam Ghadar:
Automatic Object Recoloring Using Adversarial Learning. WACV 2021: 1487-1495 - [i71]Dan Ruta, Saeid Motiian, Baldo Faieta, Zhe Lin, Hailin Jin, Alex Filipkowski, Andrew Gilbert, John P. Collomosse:
ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity. CoRR abs/2103.09776 (2021) - [i70]Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Federico Perazzi, Sun-Yuan Kung:
Content-Aware GAN Compression. CoRR abs/2104.02244 (2021) - [i69]Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang, Michael Maire, Ajinkya Kale, Baldo Faieta:
Multimodal Contrastive Training for Visual Representation Learning. CoRR abs/2104.12836 (2021) - [i68]Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava:
Learning to Predict Visual Attributes in the Wild. CoRR abs/2106.09707 (2021) - [i67]Lu Qi, Jason Kuen, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Zhe Lin, Philip H. S. Torr, Jiaya Jia:
Open-World Entity Segmentation. CoRR abs/2107.14228 (2021) - [i66]Yifan Jiang, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Kalyan Sunkavalli, Simon Chen, Sohrab Amirghodsi, Sarah Kong, Zhangyang Wang:
SSH: A Self-Supervised Framework for Image Harmonization. CoRR abs/2108.06805 (2021) - [i65]Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia:
Multi-Scale Aligned Distillation for Low-Resolution Detection. CoRR abs/2109.06875 (2021) - [i64]Dat Huynh, Jason Kuen, Zhe Lin, Jiuxiang Gu, Ehsan Elhamifar:
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling. CoRR abs/2111.12698 (2021) - [i63]Tiancheng Shen, Yuechen Zhang, Lu Qi, Jason Kuen, Xingyu Xie, Jianlong Wu, Zhe Lin, Jiaya Jia:
High Quality Segmentation for Ultra High-resolution Images. CoRR abs/2111.14482 (2021) - [i62]Yu Zeng, Zhe Lin, Vishal M. Patel:
SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches. CoRR abs/2111.15078 (2021) - [i61]Lu Qi, Jason Kuen, Zhe Lin, Jiuxiang Gu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen, Jiaya Jia:
CaSP: Class-agnostic Semi-Supervised Pretraining for Detection and Segmentation. CoRR abs/2112.04966 (2021) - [i60]Chenglin Yang, Yilin Wang, Jianming Zhang, He Zhang, Zijun Wei, Zhe Lin, Alan L. Yuille:
Lite Vision Transformer with Enhanced Self-Attention. CoRR abs/2112.10809 (2021) - 2020
- [c111]Lijun Wang, Jianming Zhang, Oliver Wang, Zhe Lin, Huchuan Lu:
SDC-Depth: Semantic Divide-and-Conquer Network for Monocular Depth Estimation. CVPR 2020: 538-547 - [c110]Ke Xian, Jianming Zhang, Oliver Wang, Long Mai, Zhe Lin, Zhiguo Cao:
Structure-Guided Ranking Loss for Single Image Depth Prediction. CVPR 2020: 608-617 - [c109]Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan L. Yuille:
Context-Aware Group Captioning via Self-Attention and Contrastive Features. CVPR 2020: 3437-3447 - [c108]Ping Hu, Fabian Caba, Oliver Wang, Zhe Lin, Stan Sclaroff, Federico Perazzi:
Temporally Distributed Networks for Fast Video Semantic Segmentation. CVPR 2020: 8815-8824 - [c107]Chenyun Wu, Zhe Lin, Scott Cohen, Trung Bui, Subhransu Maji:
PhraseCut: Language-Based Image Segmentation in the Wild. CVPR 2020: 10213-10222 - [c106]Zijun Wei, Jianming Zhang, Zhe Lin, Joon-Young Lee, Niranjan Balasubramanian, Minh Hoai, Dimitris Samaras:
Learning Visual Emotion Representations From Web Data. CVPR 2020: 13103-13112 - [c105]Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu:
High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling. ECCV (19) 2020: 1-17 - [c104]Xihui Liu, Zhe Lin, Jianming Zhang, Handong Zhao, Quan Tran, Xiaogang Wang, Hongsheng Li:
Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions. ECCV (11) 2020: 89-106 - [c103]Liqian Ma, Zhe Lin, Connelly Barnes, Alexei A. Efros, Jingwan Lu:
Unselfie: Translating Selfies to Neutral-Pose Portraits in the Wild. ECCV (17) 2020: 156-173 - [c102]Lu Zhang, Jianming Zhang, Zhe Lin, Radomír Mech, Huchuan Lu, You He:
Unsupervised Video Object Segmentation with Joint Hotspot Tracking. ECCV (14) 2020: 490-506 - [c101]Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns:
Shape Adaptor: A Learnable Resizing Module. ECCV (12) 2020: 661-677 - [c100]Evangelos Ntavelis, Andrés Romero, Siavash Bigdeli, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Chajin Shin, Taeoh Kim, Hanbin Son, Sangyoun Lee, Chao Li, Fu Li, Dongliang He, Shilei Wen, Errui Ding, Mengmeng Bai, Shuchen Li, Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu, Weijian Zeng, Haopeng Ni, Yiyang Cai, Chenghua Li, Dejia Xu, Haoning Wu, Yu Han, S. M. Nadim Uddin, Hae Woong Jang, Soikat Hasan Ahmed, Jungmin Yoon, Yong Ju Jung, Chu-Tak Li, Zhi-Song Liu, Li-Wen Wang, Wan-Chi Siu, Daniel Pak-Kong Lun, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Pratik Narang, Murari Mandal, Pranjal Singh Chauhan:
AIM 2020 Challenge on Image Extreme Inpainting. ECCV Workshops (3) 2020: 716-741 - [c99]Xuanli He, Quan Hung Tran, Gholamreza Haffari, Walter Chang, Zhe Lin, Trung Bui, Franck Dernoncourt, Nhan Dam:
Scene Graph Modification Based on Natural Language Commands. EMNLP (Findings) 2020: 972-990 - [c98]Xiaowei Jia, Handong Zhao, Zhe Lin, Ajinkya Kale, Vipin Kumar:
Personalized Image Retrieval with Sparse Graph Representation Learning. KDD 2020: 2735-2743 - [c97]Jian Ren, Xiaohui Shen, Zhe Lin, Radomír Mech:
Best Frame Selection in a Short Video. WACV 2020: 3201-3210 - [i59]Ping Hu, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Stan Sclaroff, Federico Perazzi:
Temporally Distributed Networks for Fast Video Semantic Segmentation. CoRR abs/2004.01800 (2020) - [i58]Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan L. Yuille:
Context-Aware Group Captioning via Self-Attention and Contrastive Features. CoRR abs/2004.03708 (2020) - [i57]Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu:
High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling. CoRR abs/2005.11742 (2020) - [i56]Ping Hu, Federico Perazzi, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Kate Saenko, Stan Sclaroff:
Real-time Semantic Segmentation with Fast Attention. CoRR abs/2007.03815 (2020) - [i55]Liqian Ma, Zhe Lin, Connelly Barnes, Alexei A. Efros, Jingwan Lu:
Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild. CoRR abs/2007.15068 (2020) - [i54]Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns:
Shape Adaptor: A Learnable Resizing Module. CoRR abs/2008.00892 (2020) - [i53]Chenyun Wu, Zhe Lin, Scott Cohen, Trung Bui, Subhransu Maji:
PhraseCut: Language-based Image Segmentation in the Wild. CoRR abs/2008.01187 (2020) - [i52]Xihui Liu, Zhe Lin, Jianming Zhang, Handong Zhao, Quan Tran, Xiaogang Wang, Hongsheng Li:
Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions. CoRR abs/2008.01576 (2020) - [i51]Xuanli He, Quan Hung Tran, Gholamreza Haffari, Walter Chang, Trung Bui, Zhe Lin, Franck Dernoncourt, Nhan Dam:
Scene Graph Modification Based on Natural Language Commands. CoRR abs/2010.02591 (2020) - [i50]He Zhang, Jianming Zhang, Federico Perazzi, Zhe Lin, Vishal M. Patel:
Deep Image Compositing. CoRR abs/2011.02146 (2020) - [i49]Yu Zeng, Zhe Lin, Huchuan Lu, Vishal M. Patel:
Image Inpainting with Contextual Reconstruction Loss. CoRR abs/2011.12836 (2020) - [i48]Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, Alan L. Yuille:
Mask Guided Matting via Progressive Refinement Network. CoRR abs/2012.06722 (2020) - [i47]Chenglin Yang, Yilin Wang, Jianming Zhang, He Zhang, Zhe Lin, Alan L. Yuille:
Meticulous Object Segmentation. CoRR abs/2012.07181 (2020) - [i46]Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Jianming Zhang, Ning Xu, Jiebo Luo:
Semantic Layout Manipulation with High-Resolution Sparse Attention. CoRR abs/2012.07288 (2020)
2010 – 2019
- 2019
- [j25]Jae-Pil Heo, Zhe Lin, Sung-Eui Yoon:
Distance Encoded Product Quantization for Approximate K-Nearest Neighbor Search in High-Dimensional Space. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2084-2097 (2019) - [j24]Xin Ye, Zhe Lin, Joon-Young Lee, Jianming Zhang, Shibin Zheng, Yezhou Yang:
GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment. IEEE Robotics Autom. Lett. 4(4): 4003-4010 (2019) - [j23]Xin Ye, Zhe Lin, Yezhou Yang:
Robot learning of manipulation activities with overall planning through precedence graph. Robotics Auton. Syst. 116: 126-135 (2019) - [c96]Hao Tan, Franck Dernoncourt, Zhe Lin, Trung Bui, Mohit Bansal:
Expressing Visual Relationships via Language. ACL (1) 2019: 1873-1883 - [c95]Shuai Ma, Zijun Wei, Feng Tian, Xiangmin Fan, Jianming Zhang, Xiaohui Shen, Zhe Lin, Jin Huang, Radomír Mech, Dimitris Samaras, Hongan Wang:
SmartEye: Assisting Instant Photo Taking via Integrating User Preference with Deep View Proposal Network. CHI 2019: 471 - [c94]Siyuan Qiao, Zhe Lin, Jianming Zhang, Alan L. Yuille:
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization. CVPR 2019: 61-71 - [c93]Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling:
Scene Graph Generation With External Knowledge and Image Reconstruction. CVPR 2019: 1969-1978 - [c92]Wei Xiong, Jiahui Yu, Zhe Lin, Jimei Yang, Xin Lu, Connelly Barnes, Jiebo Luo:
Foreground-Aware Image Inpainting. CVPR 2019: 5840-5848 - [c91]Lu Zhang, Jianming Zhang, Zhe Lin, Huchuan Lu, You He:
CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection. CVPR 2019: 6024-6033 - [c90]Zhifei Zhang, Zhaowen Wang, Zhe Lin, Hairong Qi:
Image Super-Resolution by Neural Texture Transfer. CVPR 2019: 7982-7991 - [c89]Ying-Cong Chen, Xiaohui Shen, Zhe Lin, Xin Lu, I-Ming Pao, Jiaya Jia:
Semantic Component Decomposition for Face Attribute Manipulation. CVPR 2019: 9859-9867 - [c88]Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, Thomas S. Huang:
Free-Form Image Inpainting With Gated Convolution. ICCV 2019: 4470-4479 - [c87]Lu Zhang, Zhe Lin, Jianming Zhang, Huchuan Lu, You He:
Fast Video Object Segmentation via Dynamic Targeting Network. ICCV 2019: 5581-5590 - [c86]Yulun Zhang, Chen Fang, Yilin Wang, Zhaowen Wang, Zhe Lin, Yun Fu, Jimei Yang:
Multimodal Style Transfer via Graph Cuts. ICCV 2019: 5942-5950 - [c85]Jason Kuen, Federico Perazzi, Zhe Lin, Jianming Zhang, Yap-Peng Tan:
Scaling Object Detection by Transferring Classification Weights. ICCV 2019: 6043-6052 - [c84]Yi Zeng, Pingping Zhang, Zhe Lin, Jianming Zhang, Huchuan Lu:
Towards High-Resolution Salient Object Detection. ICCV 2019: 7233-7242 - [c83]Mengtian Li, Zhe Lin, Radomír Mech, Ersin Yumer, Deva Ramanan:
Photo-Sketching: Inferring Contour Drawings From Images. WACV 2019: 1403-1412 - [i45]Mengtian Li, Zhe Lin, Radomír Mech, Ersin Yumer, Deva Ramanan:
Photo-Sketching: Inferring Contour Drawings from Images. CoRR abs/1901.00542 (2019) - [i44]Wei Xiong, Jiahui Yu, Zhe Lin, Jimei Yang, Xin Lu, Connelly Barnes, Jiebo Luo:
Foreground-aware Image Inpainting. CoRR abs/1901.05945 (2019) - [i43]Zhifei Zhang, Zhaowen Wang, Zhe Lin, Hairong Qi:
Image Super-Resolution by Neural Texture Transfer. CoRR abs/1903.00834 (2019) - [i42]Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling:
Scene Graph Generation with External Knowledge and Image Reconstruction. CoRR abs/1904.00560 (2019) - [i41]Yulun Zhang, Chen Fang, Yilin Wang, Zhaowen Wang, Zhe Lin, Yun Fu, Jimei Yang:
Multimodal Style Transfer via Graph Cuts. CoRR abs/1904.04443 (2019) - [i40]Pranav Aggarwal, Zhe Lin, Baldo Faieta, Saeid Motiian:
Multitask Text-to-Visual Embedding with Titles and Clickthrough Data. CoRR abs/1905.13339 (2019) - [i39]Hao Tan, Franck Dernoncourt, Zhe Lin, Trung Bui, Mohit Bansal:
Expressing Visual Relationships via Language. CoRR abs/1906.07689 (2019) - [i38]Yi Zeng, Pingping Zhang, Jianming Zhang, Zhe Lin, Huchuan Lu:
Towards High-Resolution Salient Object Detection. CoRR abs/1908.07274 (2019) - [i37]Jason Kuen, Federico Perazzi, Zhe Lin, Jianming Zhang, Yap-Peng Tan:
Scaling Object Detection by Transferring Classification Weights. CoRR abs/1909.06804 (2019) - [i36]Hao Kang, Jianming Zhang, Haoxiang Li, Zhe Lin, T. J. Rhodes, Bedrich Benes:
LeRoP: A Learning-Based Modular Robot Photography Framework. CoRR abs/1911.12470 (2019) - 2018
- [j22]Jianming Zhang, Sarah Adel Bargal, Zhe Lin, Jonathan Brandt, Xiaohui Shen, Stan Sclaroff:
Top-Down Neural Attention by Excitation Backprop. Int. J. Comput. Vis. 126(10): 1084-1102 (2018) - [j21]Lijun Wang, Xiaohui Shen, Jianming Zhang, Oliver Wang, Zhe Lin, Chih-Yao Hsieh, Sarah Kong, Huchuan Lu:
DeepLens: shallow depth of field from a single image. ACM Trans. Graph. 37(6): 245 (2018) - [c82]Paul Hongsuck Seo, Zhe Lin, Scott Cohen, Xiaohui Shen, Bohyung Han:
Progressive Attention Networks for Visual Attribute Prediction. BMVC 2018: 112 - [c81]Licheng Yu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Mohit Bansal, Tamara L. Berg:
MAttNet: Modular Attention Network for Referring Expression Comprehension. CVPR 2018: 1307-1315 - [c80]Zijun Wei, Jianming Zhang, Xiaohui Shen, Zhe Lin, Radomír Mech, Minh Hoai, Dimitris Samaras:
Good View Hunting: Learning Photo Composition From Dense View Pairs. CVPR 2018: 5437-5446 - [c79]Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, Thomas S. Huang:
Generative Image Inpainting With Contextual Attention. CVPR 2018: 5505-5514 - [c78]Shanghang Zhang, Xiaohui Shen, Zhe Lin, Radomír Mech, João Paulo Costeira, José M. F. Moura:
Learning to Understand Image Blur. CVPR 2018: 6586-6595 - [c77]Jason Kuen, Xiangfei Kong, Zhe Lin, Gang Wang, Jianxiong Yin, Simon See, Yap-Peng Tan:
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks. CVPR 2018: 7929-7938 - [c76]Yuhang Song, Chao Yang, Zhe Lin, Xiaofeng Liu, Qin Huang, Hao Li, C.-C. Jay Kuo:
Contextual-Based Image Inpainting: Infer, Match, and Translate. ECCV (2) 2018: 3-18 - [c75]Wei-Chih Hung, Jianming Zhang, Xiaohui Shen, Zhe Lin, Joon-Young Lee, Ming-Hsuan Yang:
Learning to Blend Photos. ECCV (7) 2018: 72-88 - [c74]Hengshuang Zhao, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Brian L. Price, Jiaya Jia:
Compositing-Aware Image Search. ECCV (3) 2018: 517-532 - [c73]Yufei Wang, Zhe Lin, Xiaohui Shen, Jianming Zhang, Scott Cohen:
Concept Mask: Large-Scale Segmentation from Semantic Concepts. ECCV (12) 2018: 542-557 - [c72]Jianbo Ye, Xin Lu, Zhe Lin, James Z. Wang:
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers. ICLR (Poster) 2018 - [c71]Xin Ye, Zhe Lin, Haoxiang Li, Shibin Zheng, Yezhou Yang:
Active Object Perceiver: Recognition-Guided Policy Learning for Object Searching on Mobile Robots. IROS 2018: 6857-6863 - [c70]Zijun Wei, Boyu Wang, Minh Hoai Nguyen, Jianming Zhang, Zhe Lin, Xiaohui Shen, Radomír Mech, Dimitris Samaras:
Sequence-to-Segment Networks for Segment Detection. NeurIPS 2018: 3511-3520 - [c69]Ning Yu, Xiaohui Shen, Zhe Lin, Radomír Mech, Connelly Barnes:
Learning to Detect Multiple Photographic Defects. WACV 2018: 1387-1396 - [i35]Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, Thomas S. Huang:
Generative Image Inpainting with Contextual Attention. CoRR abs/1801.07892 (2018) - [i34]Licheng Yu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Mohit Bansal, Tamara L. Berg:
MAttNet: Modular Attention Network for Referring Expression Comprehension. CoRR abs/1801.08186 (2018) - [i33]Jason Kuen, Xiangfei Kong, Zhe Lin, Gang Wang, Jianxiong Yin, Simon See, Yap-Peng Tan:
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks. CoRR abs/1801.09335 (2018) - [i32]Jianbo Ye, Xin Lu, Zhe Lin, James Z. Wang:
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers. CoRR abs/1802.00124 (2018) - [i31]Kaichun Mo, Haoxiang Li, Zhe Lin, Joon-Young Lee:
The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based Real-world Indoor Robot Visual Navigation. CoRR abs/1802.08824 (2018) - [i30]Zhifei Zhang, Zhaowen Wang, Zhe Lin, Hairong Qi:
Reference-Conditioned Super-Resolution by Neural Texture Transfer. CoRR abs/1804.03360 (2018) - [i29]Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, Thomas S. Huang:
Free-Form Image Inpainting with Gated Convolution. CoRR abs/1806.03589 (2018) - [i28]Xin Ye, Zhe Lin, Haoxiang Li, Shibin Zheng, Yezhou Yang:
Active Object Perceiver: Recognition-guided Policy Learning for Object Searching on Mobile Robots. CoRR abs/1807.11174 (2018) - [i27]Yufei Wang, Zhe Lin, Xiaohui Shen, Jianming Zhang, Scott Cohen:
Concept Mask: Large-Scale Segmentation from Semantic Concepts. CoRR abs/1808.06032 (2018) - [i26]Xin Ye, Zhe Lin, Joon-Young Lee, Jianming Zhang, Shibin Zheng, Yezhou Yang:
GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment. CoRR abs/1809.08287 (2018) - [i25]Lijun Wang, Xiaohui Shen, Jianming Zhang, Oliver Wang, Zhe Lin, Chih-Yao Hsieh, Sarah Kong, Huchuan Lu:
DeepLens: Shallow Depth Of Field From A Single Image. CoRR abs/1810.08100 (2018) - [i24]Siyuan Qiao, Zhe Lin, Jianming Zhang, Alan L. Yuille:
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization. CoRR abs/1812.00481 (2018) - 2017
- [j20]Jianming Zhang, Shugao Ma, Mehrnoosh Sameki, Stan Sclaroff, Margrit Betke, Zhe Lin, Xiaohui Shen, Brian L. Price, Radomír Mech:
Salient Object Subitizing. Int. J. Comput. Vis. 124(2): 169-186 (2017) - [c68]Zhou Ren, Hailin Jin, Zhe Lin, Chen Fang, Alan L. Yuille:
Multiple Instance Visual-Semantic Embedding. BMVC 2017 - [c67]Yufei Wang, Zhe Lin, Xiaohui Shen, Radomír Mech, Gavin S. P. Miller, Garrison W. Cottrell:
Recognizing and Curating Photo Albums via Event-Specific Image Importance. BMVC 2017 - [c66]Long Mai, Hailin Jin, Zhe Lin, Chen Fang, Jonathan Brandt, Feng Liu:
Spatial-Semantic Image Search by Visual Feature Synthesis. CVPR 2017: 1121-1130 - [c65]Hao Hu, Zhaowen Wang, Joon-Young Lee, Zhe Lin, Guo-Jun Qi:
Temporal Domain Neural Encoder for Video Representation Learning. CVPR Workshops 2017: 2192-2199 - [c64]Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, Ming-Hsuan Yang:
Deep Image Harmonization. CVPR 2017: 2799-2807 - [c63]Chao Yang, Xin Lu, Zhe Lin, Eli Shechtman, Oliver Wang, Hao Li:
High-Resolution Image Inpainting Using Multi-scale Neural Patch Synthesis. CVPR 2017: 4076-4084 - [c62]Yufei Wang, Zhe Lin, Xiaohui Shen, Scott Cohen, Garrison W. Cottrell:
Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition. CVPR 2017: 7378-7387 - [c61]Jian Ren, Xiaohui Shen, Zhe Lin, Radomír Mech, David J. Foran:
Personalized Image Aesthetics. ICCV 2017: 638-647 - [c60]Xin Li, Zequn Jie, Wei Wang, Changsong Liu, Jimei Yang, Xiaohui Shen, Zhe Lin, Qiang Chen, Shuicheng Yan, Jiashi Feng:
FoveaNet: Perspective-Aware Urban Scene Parsing. ICCV 2017: 784-792 - [c59]Chenxi Liu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Alan L. Yuille:
Recurrent Multimodal Interaction for Referring Image Segmentation. ICCV 2017: 1280-1289 - [c58]Wei-Chih Hung, Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, Ming-Hsuan Yang:
Scene Parsing with Global Context Embedding. ICCV 2017: 2650-2658 - [c57]Xiaojie Jin, Xin Li, Huaxin Xiao, Xiaohui Shen, Zhe Lin, Jimei Yang, Yunpeng Chen, Jian Dong, Luoqi Liu, Zequn Jie, Jiashi Feng, Shuicheng Yan:
Video Scene Parsing with Predictive Feature Learning. ICCV 2017: 5581-5589 - [c56]Xiaojie Jin, Huaxin Xiao, Xiaohui Shen, Jimei Yang, Zhe Lin, Yunpeng Chen, Zequn Jie, Jiashi Feng, Shuicheng Yan:
Predicting Scene Parsing and Motion Dynamics in the Future. NIPS 2017: 6915-6924 - [i23]Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, Ming-Hsuan Yang:
Deep Image Harmonization. CoRR abs/1703.00069 (2017) - [i22]Chenxi Liu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Alan L. Yuille:
Recurrent Multimodal Interaction for Referring Image Segmentation. CoRR abs/1703.07939 (2017) - [i21]Yufei Wang, Zhe Lin, Xiaohui Shen, Scott Cohen, Garrison W. Cottrell:
Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition. CoRR abs/1704.06972 (2017) - [i20]Yufei Wang, Zhe Lin, Xiaohui Shen, Radomír Mech, Gavin S. P. Miller, Garrison W. Cottrell:
Recognizing and Curating Photo Albums via Event-Specific Image Importance. CoRR abs/1707.05911 (2017) - [i19]Xin Li, Zequn Jie, Wei Wang, Changsong Liu, Jimei Yang, Xiaohui Shen, Zhe Lin, Qiang Chen, Shuicheng Yan, Jiashi Feng:
FoveaNet: Perspective-aware Urban Scene Parsing. CoRR abs/1708.02421 (2017) - [i18]Wei-Chih Hung, Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, Ming-Hsuan Yang:
Scene Parsing with Global Context Embedding. CoRR abs/1710.06507 (2017) - [i17]Xiaojie Jin, Huaxin Xiao, Xiaohui Shen, Jimei Yang, Zhe Lin, Yunpeng Chen, Zequn Jie, Jiashi Feng, Shuicheng Yan:
Predicting Scene Parsing and Motion Dynamics in the Future. CoRR abs/1711.03270 (2017) - [i16]Yuhang Song, Chao Yang, Zhe Lin, Hao Li, Qin Huang, C.-C. Jay Kuo:
Image Inpainting using Multi-Scale Feature Image Translation. CoRR abs/1711.08590 (2017) - 2016
- [j19]Jiong Yang, Gangqiang Zhao, Junsong Yuan, Xiaohui Shen, Zhe Lin, Brian L. Price, Jonathan Brandt:
Discovering Primary Objects in Videos by Saliency Fusion and Iterative Appearance Estimation. IEEE Trans. Circuits Syst. Video Technol. 26(6): 1070-1083 (2016) - [j18]Jiong Yang, Brian L. Price, Xiaohui Shen, Zhe Lin, Junsong Yuan:
Fast Appearance Modeling for Automatic Primary Video Object Segmentation. IEEE Trans. Image Process. 25(2): 503-515 (2016) - [j17]Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Ming-Hsuan Yang:
Sky is not the limit: semantic-aware sky replacement. ACM Trans. Graph. 35(4): 149:1-149:11 (2016) - [c55]Haoxiang Li, Jonathan Brandt, Zhe Lin, Xiaohui Shen, Gang Hua:
A Multi-level Contextual Model for Person Recognition in Photo Albums. CVPR 2016: 1297-1305 - [c54]Jae-Pil Heo, Zhe Lin, Xiaohui Shen, Jonathan Brandt, Sung-Eui Yoon:
Shortlist Selection with Residual-Aware Distance Estimator for K-Nearest Neighbor Search. CVPR 2016: 2009-2017 - [c53]Joon-Young Lee, Kalyan Sunkavalli, Zhe Lin, Xiaohui Shen, In-So Kweon:
Automatic Content-Aware Color and Tone Stylization. CVPR 2016: 2470-2478 - [c52]Yufei Wang, Zhe Lin, Xiaohui Shen, Radomír Mech, Gavin S. P. Miller, Garrison W. Cottrell:
Event-Specific Image Importance. CVPR 2016: 4810-4819 - [c51]Jianming Zhang, Stan Sclaroff, Zhe Lin, Xiaohui Shen, Brian L. Price, Radomír Mech:
Unconstrained Salient Object Detection via Proposal Subset Optimization. CVPR 2016: 5733-5742 - [c50]Jianming Zhang, Zhe Lin, Jonathan Brandt, Xiaohui Shen, Stan Sclaroff:
Top-Down Neural Attention by Excitation Backprop. ECCV (4) 2016: 543-559 - [c49]Shu Kong, Xiaohui Shen, Zhe Lin, Radomír Mech, Charless C. Fowlkes:
Photo Aesthetics Ranking Network with Attributes and Content Adaptation. ECCV (1) 2016: 662-679 - [c48]Xiang Yu, Zhe Lin, Shaoting Zhang, Dimitris N. Metaxas:
Nonlinear Hierarchical Part-Based Regression for Unconstrained Face Alignment. IJCAI 2016: 2711-2717 - [c47]Zhou Ren, Hailin Jin, Zhe Lin, Chen Fang, Alan L. Yuille:
Joint Image-Text Representation by Gaussian Visual-Semantic Embedding. ACM Multimedia 2016: 207-211 - [i15]Shu Kong, Xiaohui Shen, Zhe Lin, Radomír Mech, Charless C. Fowlkes:
Photo Aesthetics Ranking Network with Attributes and Content Adaptation. CoRR abs/1606.01621 (2016) - [i14]Paul Hongsuck Seo, Zhe Lin, Scott Cohen, Xiaohui Shen, Bohyung Han:
Hierarchical Attention Networks. CoRR abs/1606.02393 (2016) - [i13]Jianming Zhang, Shugao Ma, Mehrnoosh Sameki, Stan Sclaroff, Margrit Betke, Zhe Lin, Xiaohui Shen, Brian L. Price, Radomír Mech:
Salient Object Subitizing. CoRR abs/1607.07525 (2016) - [i12]Jianming Zhang, Zhe Lin, Jonathan Brandt, Xiaohui Shen, Stan Sclaroff:
Top-down Neural Attention by Excitation Backprop. CoRR abs/1608.00507 (2016) - [i11]Omid Bakhshandeh, Trung Bui, Zhe Lin, Walter Chang:
Proposing Plausible Answers for Open-ended Visual Question Answering. CoRR abs/1610.06620 (2016) - [i10]Chao Yang, Xin Lu, Zhe Lin, Eli Shechtman, Oliver Wang, Hao Li:
High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis. CoRR abs/1611.09969 (2016) - [i9]Xiaojie Jin, Xin Li, Huaxin Xiao, Xiaohui Shen, Zhe Lin, Jimei Yang, Yunpeng Chen, Jian Dong, Luoqi Liu, Zequn Jie, Jiashi Feng, Shuicheng Yan:
Video Scene Parsing with Predictive Feature Learning. CoRR abs/1612.00119 (2016) - [i8]Ning Yu, Xiaohui Shen, Zhe Lin, Radomír Mech, Connelly Barnes:
Automatic Image Defect Diagnosis. CoRR abs/1612.01635 (2016) - 2015
- [j16]Armin Samii, Radomír Mech, Zhe Lin:
Data-Driven Automatic Cropping Using Semantic Composition Search. Comput. Graph. Forum 34(1): 141-151 (2015) - [j15]Zhuolin Jiang, Zhe Lin, Haibin Ling, Fatih Porikli, Ling Shao, Pavan K. Turaga:
Discriminative feature learning from big data for visual recognition. Pattern Recognit. 48(10): 2961-2963 (2015) - [j14]Xiaoyuan Yu, Jianchao Yang, Zhe Lin, Jiangping Wang, Tianjiang Wang, Thomas S. Huang:
Subcategory-Aware Object Detection. IEEE Signal Process. Lett. 22(9): 1472-1476 (2015) - [j13]Hongyang Li, Huchuan Lu, Zhe Lin, Xiaohui Shen, Brian L. Price:
Inner and Inter Label Propagation: Salient Object Detection in the Wild. IEEE Trans. Image Process. 24(10): 3176-3186 (2015) - [j12]Shuang Li, Huchuan Lu, Zhe Lin, Xiaohui Shen, Brian L. Price:
Adaptive Metric Learning for Saliency Detection. IEEE Trans. Image Process. 24(11): 3321-3331 (2015) - [j11]Xin Lu, Zhe Lin, Hailin Jin, Jianchao Yang, James Z. Wang:
Image-Specific Prior Adaptation for Denoising. IEEE Trans. Image Process. 24(12): 5469-5478 (2015) - [j10]Xin Lu, Zhe Lin, Hailin Jin, Jianchao Yang, James Z. Wang:
Rating Image Aesthetics Using Deep Learning. IEEE Trans. Multim. 17(11): 2021-2034 (2015) - [c46]Chen Fang, Hailin Jin, Jianchao Yang, Zhe Lin:
Collaborative feature learning from social media. CVPR 2015: 577-585 - [c45]Jimei Yang, Brian L. Price, Scott Cohen, Zhe Lin, Ming-Hsuan Yang:
PatchCut: Data-driven object segmentation via local shape transfer. CVPR 2015: 1770-1778 - [c44]Peng Wang, Xiaohui Shen, Zhe Lin, Scott Cohen, Brian L. Price, Alan L. Yuille:
Towards unified depth and semantic prediction from a single image. CVPR 2015: 2800-2809 - [c43]Jianming Zhang, Shugao Ma, Mehrnoosh Sameki, Stan Sclaroff, Margrit Betke, Zhe Lin, Xiaohui Shen, Brian L. Price, Radomír Mech:
Salient Object Subitizing. CVPR 2015: 4045-4054 - [c42]Haoxiang Li, Zhe Lin, Xiaohui Shen, Jonathan Brandt, Gang Hua:
A convolutional neural network cascade for face detection. CVPR 2015: 5325-5334 - [c41]Xin Lu, Zhe Lin, Xiaohui Shen, Radomír Mech, James Z. Wang:
Deep Multi-patch Aggregation Network for Image Style, Aesthetics, and Quality Estimation. ICCV 2015: 990-998 - [c40]Jianming Zhang, Stan Sclaroff, Zhe Lin, Xiaohui Shen, Brian L. Price, Radomír Mech:
Minimum Barrier Salient Object Detection at 80 FPS. ICCV 2015: 1404-1412 - [c39]Peng Wang, Xiaohui Shen, Zhe Lin, Scott Cohen, Brian L. Price, Alan L. Yuille:
Joint Object and Part Segmentation Using Deep Learned Potentials. ICCV 2015: 1573-1581 - [c38]Peng Wang, Zhe Lin, Radomír Mech:
Learning an Aesthetic Photo Cropping Cascade. WACV 2015: 448-455 - [c37]Zhaowen Wang, Jianchao Yang, Zhe Lin, Jonathan Brandt, Shiyu Chang, Thomas S. Huang:
Scalable Similarity Learning Using Large Margin Neighborhood Embedding. WACV 2015: 464-471 - [c36]Xin Lu, Zhe Lin, Hailin Jin:
Tree-Based Locally Linear Regression for Image Denoising. WACV 2015: 472-479 - [i7]Chen Fang, Hailin Jin, Jianchao Yang, Zhe Lin:
Collaborative Feature Learning from Social Media. CoRR abs/1502.01423 (2015) - [i6]Peng Wang, Xiaohui Shen, Zhe Lin, Scott Cohen, Brian L. Price, Alan L. Yuille:
Joint Object and Part Segmentation using Deep Learned Potentials. CoRR abs/1505.00276 (2015) - [i5]Hongyang Li, Huchuan Lu, Zhe Lin, Xiaohui Shen, Brian L. Price:
Inner and Inter Label Propagation: Salient Object Detection in the Wild. CoRR abs/1505.07192 (2015) - [i4]Hongyang Li, Huchuan Lu, Zhe Lin, Xiaohui Shen, Brian L. Price:
LCNN: Low-level Feature Embedded CNN for Salient Object Detection. CoRR abs/1508.03928 (2015) - [i3]Joon-Young Lee, Kalyan Sunkavalli, Zhe Lin, Xiaohui Shen, In So Kweon:
Automatic Content-Aware Color and Tone Stylization. CoRR abs/1511.03748 (2015) - [i2]Zhou Ren, Hailin Jin, Zhe Lin, Chen Fang, Alan L. Yuille:
Multi-Instance Visual-Semantic Embedding. CoRR abs/1512.06963 (2015) - 2014
- [j9]Jungho Kim, Zhe Lin, In-So Kweon:
Rao-Blackwellized particle filtering with Gaussian mixture models for robust visual tracking. Comput. Vis. Image Underst. 125: 128-137 (2014) - [j8]Xiaohui Shen, Zhe Lin, Jonathan Brandt, Ying Wu:
Spatially-Constrained Similarity Measurefor Large-Scale Object Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 36(6): 1229-1241 (2014) - [c35]Haoxiang Li, Gang Hua, Xiaohui Shen, Zhe Lin, Jonathan Brandt:
Eigen-PEP for Video Face Recognition. ACCV (3) 2014: 17-33 - [c34]Brandon M. Smith, Jonathan Brandt, Zhe Lin, Li Zhang:
Nonparametric Context Modeling of Local Appearance for Pose- and Expression-Robust Facial Landmark Localization. CVPR 2014: 1741-1748 - [c33]Haoxiang Li, Zhe Lin, Jonathan Brandt, Xiaohui Shen, Gang Hua:
Efficient Boosted Exemplar-Based Face Detection. CVPR 2014: 1843-1850 - [c32]Jae-Pil Heo, Zhe Lin, Sung-Eui Yoon:
Distance Encoded Product Quantization. CVPR 2014: 2139-2146 - [c31]Xiang Yu, Zhe Lin, Jonathan Brandt, Dimitris N. Metaxas:
Consensus of Regression for Occlusion-Robust Facial Feature Localization. ECCV (4) 2014: 105-118 - [c30]Xin Lu, Zhe Lin, Hailin Jin, Jianchao Yang, James Z. Wang:
RAPID: Rating Pictorial Aesthetics using Deep Learning. ACM Multimedia 2014: 457-466 - [c29]Chen Fang, Zhe Lin, Radomír Mech, Xiaohui Shen:
Automatic Image Cropping using Visual Composition, Boundary Simplicity and Content Preservation Models. ACM Multimedia 2014: 1105-1108 - [c28]Thomas Paine, Hailin Jin, Jianchao Yang, Zhe Lin, Thomas S. Huang:
GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training. ICLR (Workshop Poster) 2014 - [r1]Zhe Lin, Zhuolin Jiang, Larry S. Davis:
Prototype-Based Methods for Human Movement Modeling. Computer Vision, A Reference Guide 2014: 651-654 - [i1]Zhaowen Wang, Jianchao Yang, Zhe Lin, Jonathan Brandt, Shiyu Chang, Thomas S. Huang:
Scalable Similarity Learning using Large Margin Neighborhood Embedding. CoRR abs/1404.6272 (2014) - 2013
- [j7]Zhuolin Jiang, Zhe Lin, Larry S. Davis:
A unified tree-based framework for joint action localization, recognition and segmentation. Comput. Vis. Image Underst. 117(10): 1345-1355 (2013) - [j6]Zhuolin Jiang, Zhe Lin, Larry S. Davis:
Label Consistent K-SVD: Learning a Discriminative Dictionary for Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 35(11): 2651-2664 (2013) - [c27]Jianchao Yang, Zhe Lin, Scott Cohen:
Fast Image Super-Resolution Based on In-Place Example Regression. CVPR 2013: 1059-1066 - [c26]Zhuoyuan Chen, Hailin Jin, Zhe Lin, Scott Cohen, Ying Wu:
Large Displacement Optical Flow from Nearest Neighbor Fields. CVPR 2013: 2443-2450 - [c25]Xiaohui Shen, Zhe Lin, Jonathan Brandt, Ying Wu:
Detecting and Aligning Faces by Image Retrieval. CVPR 2013: 3460-3467 - [c24]Brandon M. Smith, Li Zhang, Jonathan Brandt, Zhe Lin, Jianchao Yang:
Exemplar-Based Face Parsing. CVPR 2013: 3484-3491 - [c23]Haoxiang Li, Gang Hua, Zhe Lin, Jonathan Brandt, Jianchao Yang:
Probabilistic Elastic Matching for Pose Variant Face Verification. CVPR 2013: 3499-3506 - [c22]Haoxiang Li, Gang Hua, Zhe Lin, Jonathan Brandt, Jianchao Yang:
Probabilistic Elastic Part Model for Unsupervised Face Detector Adaptation. ICCV 2013: 793-800 - [c21]Feng Zhou, Jonathan Brandt, Zhe Lin:
Exemplar-Based Graph Matching for Robust Facial Landmark Localization. ICCV 2013: 1025-1032 - [c20]Weilin Huang, Zhe Lin, Jianchao Yang, Jue Wang:
Text Localization in Natural Images Using Stroke Feature Transform and Text Covariance Descriptors. ICCV 2013: 1241-1248 - 2012
- [j5]Zhuolin Jiang, Zhe Lin, Larry S. Davis:
Class consistent k-means: Application to face and action recognition. Comput. Vis. Image Underst. 116(6): 730-741 (2012) - [j4]Zhuolin Jiang, Zhe Lin, Larry S. Davis:
Recognizing Human Actions by Learning and Matching Shape-Motion Prototype Trees. IEEE Trans. Pattern Anal. Mach. Intell. 34(3): 533-547 (2012) - [j3]Jungho Kim, Jihong Min, In-So Kweon, Zhe Lin:
Fusing Multiple Independent Estimates via Spectral Clustering for Robust Visual Tracking. IEEE Signal Process. Lett. 19(8): 527-530 (2012) - [j2]Jianchao Yang, Zhaowen Wang, Zhe Lin, Scott Cohen, Thomas S. Huang:
Coupled Dictionary Training for Image Super-Resolution. IEEE Trans. Image Process. 21(8): 3467-3478 (2012) - [c19]Jianchao Yang, Zhaowen Wang, Zhe Lin, Xianbiao Shu, Thomas S. Huang:
Bilevel sparse coding for coupled feature spaces. CVPR 2012: 2360-2367 - [c18]Xiaohui Shen, Zhe Lin, Jonathan Brandt, Shai Avidan, Ying Wu:
Object retrieval and localization with spatially-constrained similarity measure and k-NN re-ranking. CVPR 2012: 3013-3020 - [c17]Xiaohui Shen, Zhe Lin, Jonathan Brandt, Ying Wu:
Mobile Product Image Search by Automatic Query Object Extraction. ECCV (4) 2012: 114-127 - [c16]Vuong Le, Jonathan Brandt, Zhe Lin, Lubomir D. Bourdev, Thomas S. Huang:
Interactive Facial Feature Localization. ECCV (3) 2012: 679-692 - [c15]Zhe Lin, Gang Hua, Larry S. Davis:
Multi-scale shared features for cascade object detection. ICIP 2012: 1865-1868 - [c14]Alper Ayvaci, Hailin Jin, Zhe Lin, Scott Cohen, Stefano Soatto:
Video upscaling via spatio-temporal self-similarity. ICPR 2012: 2190-2193 - 2011
- [c13]Zhuolin Jiang, Zhe Lin, Larry S. Davis:
Learning a discriminative dictionary for sparse coding via label consistent K-SVD. CVPR 2011: 1697-1704 - 2010
- [j1]Zhe Lin, Larry S. Davis:
Shape-Based Human Detection and Segmentation via Hierarchical Part-Template Matching. IEEE Trans. Pattern Anal. Mach. Intell. 32(4): 604-618 (2010) - [c12]Zhuolin Jiang, Zhe Lin, Larry S. Davis:
A Tree-Based Approach to Integrated Action Localization, Recognition and Segmentation. ECCV Workshops (1) 2010: 114-127 - [c11]Zhe Lin, Jonathan Brandt:
A Local Bag-of-Features Model for Large-Scale Object Retrieval. ECCV (6) 2010: 294-308
2000 – 2009
- 2009
- [b1]Zhe Lin:
Modeling Shape, Appearance and Motion for Human Movement Analysis. University of Maryland, College Park, MD, USA, 2009 - [c10]Zhe Lin, Gang Hua, Larry S. Davis:
Multiple instance fFeature for robust part-based object detection. CVPR 2009: 405-412 - [c9]Zhe Lin, Zhuolin Jiang, Larry S. Davis:
Recognizing actions by shape-motion prototype trees. ICCV 2009: 444-451 - 2008
- [c8]Zhe Lin, Larry S. Davis:
A Pose-Invariant Descriptor for Human Detection and Segmentation. ECCV (4) 2008: 423-436 - [c7]Zhe Lin, Larry S. Davis:
Learning Pairwise Dissimilarity Profiles for Appearance Recognition in Visual Surveillance. ISVC (1) 2008: 23-34 - 2007
- [c6]Zhe Lin, Larry S. Davis, David S. Doermann, Daniel DeMenthon:
Simultaneous Appearance Modeling and Segmentation for Matching People Under Occlusion. ACCV (2) 2007: 404-413 - [c5]Son Dinh Tran, Zhe Lin, David Harwood, Larry S. Davis:
UMD_VDT, an Integration of Detection and Tracking Methods for Multiple Human Tracking. CLEAR 2007: 179-190 - [c4]Zhe Lin, Larry S. Davis, David S. Doermann, Daniel DeMenthon:
Hierarchical Part-Template Matching for Human Detection and Segmentation. ICCV 2007: 1-8 - [c3]Zhe Lin, Larry S. Davis, David S. Doermann, Daniel DeMenthon:
An Interactive Approach to Pose-Assisted and Appearance-based Segmentation of Humans. ICCV 2007: 1-8 - 2005
- [c2]Zhe Lin, Sungho Kim, In-So Kweon:
Recognition-based indoor topological navigation using robust invariant features. IROS 2005: 2309-2314 - [c1]Zhe Lin, Sungho Kim, In-So Kweon:
Robust Invariant Features for Object Recognition and Mobile Robot Navigation. MVA 2005: 55-58
Coauthor Index
Larry Davis 0001
aka: Larry S. Davis
aka: Larry S. Davis
[j27] [c97] [c95] [c89] [c88] [j22] [j21] [c82] [c81] [c80] [c79] [c78] [c75] [c74] [c73] [c70] [c69] [i35] [i34] [i29] [i27] [i25] [j20] [c67] [c64] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [j19] [j18] [j17] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [i15] [i14] [i13] [i12] [i9] [i8] [j13] [j12] [c44] [c43] [c42] [c41] [c40] [c39] [i6] [i5] [i4] [i3] [j8] [c35] [c33] [c29] [c25] [c18] [c17]
[j30] [c166] [c165] [c164] [c160] [c157] [i111] [i110] [i109] [i107] [i106] [i105] [i104] [i103] [i102] [j29] [c152] [c150] [c146] [i92] [c140] [c136] [c127] [c126] [i90] [i88] [i84] [i83] [i80] [i77] [i76] [i73] [j27] [c122] [c121] [c117] [c113] [i69] [i66] [i60] [c111] [c110] [c106] [c105] [c104] [c102] [c101] [c100] [i57] [i54] [i52] [i50] [i48] [i47] [i46] [j24] [c95] [c94] [c91] [c87] [c85] [c84] [i38] [i37] [i36] [j22] [j21] [c80] [c75] [c73] [c70] [i27] [i26] [i25] [i24] [j20] [c51] [c50] [i13] [i12] [c43] [c40]
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