Zhe Lin

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 149

Top Venues

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

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)
Wenbo Li, Xin Yu, Kun Zhou, Yibing Song, Zhe Lin
Image Inpainting via Iteratively Decoupled Probabilistic Modeling. ICLR (2024)
Ziyan Yang, Kushal Kafle, Zhe Lin, Scott Cohen, Zhihong Ding, Vicente Ordonez
SCoRD: Subject-Conditional Relation Detection with Text-Augmented Data. WACV (2024)
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) (2023)
Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen
TopNet: Transformer-Based Object Placement Network for Image Compositing. CVPR (2023)
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) (2023)
Bo Sun, Jason Kuen, Zhe Lin, Philippos Mordohai, Simon Chen
PRN: Panoptic Refinement Network. WACV (2023)
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)
Kangfu Mei, Luis Figueroa, Zhe Lin, Zhihong Ding, Scott Cohen, Vishal M. Patel
Latent Feature-Guided Diffusion Models for Shadow Removal. CoRR (2023)
Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John P. Collomosse, Jason Kuen, Vishal M. Patel
SceneComposer: Any-Level Semantic Image Synthesis. CVPR (2023)
Shaoan Xie, Zhifei Zhang, Zhe Lin, Tobias Hinz, Kun Zhang
SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model. CVPR (2023)
Cusuh Ham, Gemma Canet Tarres, Tu Bui, James Hays, Zhe Lin, John P. Collomosse
CoGS: Controllable Generation and Search from Sketch and Style. CoRR (2022)
Soo Ye Kim, Jianming Zhang, Simon Niklaus, Yifei Fan, Simon Chen, Zhe Lin, Munchurl Kim
Layered Depth Refinement with Mask Guidance. CoRR (2022)
Wenbo Li, Zhe Lin, Kun Zhou, Lu Qi, Yi Wang, Jiaya Jia
MAT: Mask-Aware Transformer for Large Hole Image Inpainting. CVPR (2022)
Wenbo Li, Zhe Lin, Kun Zhou, Lu Qi, Yi Wang, Jiaya Jia
MAT: Mask-Aware Transformer for Large Hole Image Inpainting. CoRR (2022)
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)
Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, Sun-Yuan Kung
3D-FM GAN: Towards 3D-Controllable Face Manipulation. ECCV (15) (2022)
Lingzhi Zhang, Yuqian Zhou, Connelly Barnes, Sohrab Amirghodsi, Zhe Lin, Eli Shechtman, Jianbo Shi
Perceptual Artifacts Localization for Inpainting. ECCV (24) (2022)
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)
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 (2022)
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)
Dan Ruta, Andrew Gilbert, Saeid Motiian, Baldo Faieta, Zhe Lin, John P. Collomosse
HyperNST: Hyper-Networks for Neural Style Transfer. CoRR (2022)
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)
Soo Ye Kim, Jianming Zhang, Simon Niklaus, Yifei Fan, Simon Chen, Zhe Lin, Munchurl Kim
Layered Depth Refinement with Mask Guidance. CVPR (2022)
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)
Lingzhi Zhang, Yuqian Zhou, Connelly Barnes, Sohrab Amirghodsi, Zhe Lin, Eli Shechtman, Jianbo Shi
Perceptual Artifacts Localization for Inpainting. CoRR (2022)
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 (2022)
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)
Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, Sun-Yuan Kung
3D-FM GAN: Towards 3D-Controllable Face Manipulation. CoRR (2022)
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)
Dan Ruta, Andrew Gilbert, Saeid Motiian, Baldo Faieta, Zhe Lin, John P. Collomosse
HyperNST: Hyper-Networks for Neural Style Transfer. ECCV Workshops (1) (2022)
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 (2022)
Sangryul Jeon, Zhifei Zhang, Zhe Lin, Scott Cohen, Zhihong Ding, Kwanghoon Sohn
COAT: Correspondence-driven Object Appearance Transfer. BMVC (2022)
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 (2021)
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) (2021)
Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Federico Perazzi, Sun-Yuan Kung
Content-Aware GAN Compression. CoRR (2021)
Siavash Khodadadeh, Saeid Motiian, Zhe Lin, Ladislau Bölöni, Shabnam Ghadar
Automatic Object Recoloring Using Adversarial Learning. WACV (2021)
Yu Zeng, Zhe Lin, Huchuan Lu, Vishal M. Patel
CR-Fill: Generative Image Inpainting with Auxiliary Contextual Reconstruction. ICCV (2021)
Lu Qi, Jason Kuen, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Zhe Lin, Philip H. S. Torr, Jiaya Jia
Open-World Entity Segmentation. CoRR (2021)
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)
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 (2021)
Zhankui He, Handong Zhao, Zhe Lin, Zhaowen Wang, Ajinkya Kale, Julian J. McAuley
Locker: Locally Constrained Self-Attentive Sequential Recommendation. CIKM (2021)
Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava
Learning To Predict Visual Attributes in the Wild. CVPR (2021)
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)
Alireza Zaeemzadeh, Shabnam Ghadar, Baldo Faieta, Zhe Lin, Nazanin Rahnavard, Mubarak Shah, Ratheesh Kalarot
Face Image Retrieval with Attribute Manipulation. ICCV (2021)
Chenglin Yang, Yilin Wang, Jianming Zhang, He Zhang, Zijun Wei, Zhe Lin, Alan L. Yuille
Lite Vision Transformer with Enhanced Self-Attention. CoRR (2021)
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)
He Zhang, Jianming Zhang, Federico Perazzi, Zhe Lin, Vishal M. Patel
Deep Image Compositing. WACV (2021)
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)
Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang, Michael Maire, Ajinkya Kale, Baldo Faieta
Multimodal Contrastive Training for Visual Representation Learning. CoRR (2021)
Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava
Learning to Predict Visual Attributes in the Wild. CoRR (2021)
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) (2021)
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 (2021)
Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Federico Perazzi, Sun-Yuan Kung
Content-Aware GAN Compression. CVPR (2021)
Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan L. Yuille
Context-Aware Group Captioning via Self-Attention and Contrastive Features. CoRR (2020)
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)
Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns
Shape Adaptor: A Learnable Resizing Module. CoRR (2020)
Lu Zhang, Jianming Zhang, Zhe Lin, Radomír Mech, Huchuan Lu, You He
Unsupervised Video Object Segmentation with Joint Hotspot Tracking. ECCV (14) (2020)
Chenyun Wu, Zhe Lin, Scott Cohen, Trung Bui, Subhransu Maji
PhraseCut: Language-Based Image Segmentation in the Wild. CVPR (2020)
Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan L. Yuille
Context-Aware Group Captioning via Self-Attention and Contrastive Features. CVPR (2020)
Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns
Shape Adaptor: A Learnable Resizing Module. ECCV (12) (2020)
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 (2020)
Xiaowei Jia, Handong Zhao, Zhe Lin, Ajinkya Kale, Vipin Kumar
Personalized Image Retrieval with Sparse Graph Representation Learning. KDD (2020)
Zijun Wei, Jianming Zhang, Zhe Lin, Joon-Young Lee, Niranjan Balasubramanian, Minh Hoai, Dimitris Samaras
Learning Visual Emotion Representations From Web Data. CVPR (2020)
Ke Xian, Jianming Zhang, Oliver Wang, Long Mai, Zhe Lin, Zhiguo Cao
Structure-Guided Ranking Loss for Single Image Depth Prediction. CVPR (2020)
He Zhang, Jianming Zhang, Federico Perazzi, Zhe Lin, Vishal M. Patel
Deep Image Compositing. CoRR (2020)
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)
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 (2020)
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)
Ping Hu, Fabian Caba, Oliver Wang, Zhe Lin, Stan Sclaroff, Federico Perazzi
Temporally Distributed Networks for Fast Video Semantic Segmentation. CVPR (2020)
Chenyun Wu, Zhe Lin, Scott Cohen, Trung Bui, Subhransu Maji
PhraseCut: Language-based Image Segmentation in the Wild. CoRR (2020)
Chenglin Yang, Yilin Wang, Jianming Zhang, He Zhang, Zhe Lin, Alan L. Yuille
Meticulous Object Segmentation. CoRR (2020)
Lijun Wang, Jianming Zhang, Oliver Wang, Zhe Lin, Huchuan Lu
SDC-Depth: Semantic Divide-and-Conquer Network for Monocular Depth Estimation. CVPR (2020)
Ping Hu, Federico Perazzi, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Kate Saenko, Stan Sclaroff
Real-time Semantic Segmentation with Fast Attention. CoRR (2020)
Liqian Ma, Zhe Lin, Connelly Barnes, Alexei A. Efros, Jingwan Lu
Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild. CoRR (2020)
Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Jianming Zhang, Ning Xu, Jiebo Luo
Semantic Layout Manipulation with High-Resolution Sparse Attention. CoRR (2020)
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)
Liqian Ma, Zhe Lin, Connelly Barnes, Alexei A. Efros, Jingwan Lu
Unselfie: Translating Selfies to Neutral-Pose Portraits in the Wild. ECCV (17) (2020)
Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu
High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling. CoRR (2020)
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 (2020)
Yu Zeng, Zhe Lin, Huchuan Lu, Vishal M. Patel
Image Inpainting with Contextual Reconstruction Loss. CoRR (2020)
Yulun Zhang, Chen Fang, Yilin Wang, Zhaowen Wang, Zhe Lin, Yun Fu, Jimei Yang
Multimodal Style Transfer via Graph Cuts. CoRR (2019)
Hao Kang, Jianming Zhang, Haoxiang Li, Zhe Lin, T. J. Rhodes, Bedrich Benes
LeRoP: A Learning-Based Modular Robot Photography Framework. CoRR (2019)
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) (2019)
Wei Xiong, Jiahui Yu, Zhe Lin, Jimei Yang, Xin Lu, Connelly Barnes, Jiebo Luo
Foreground-aware Image Inpainting. CoRR (2019)
Lu Zhang, Jianming Zhang, Zhe Lin, Huchuan Lu, You He
CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection. CVPR (2019)
Wei Xiong, Jiahui Yu, Zhe Lin, Jimei Yang, Xin Lu, Connelly Barnes, Jiebo Luo
Foreground-Aware Image Inpainting. CVPR (2019)
Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling
Scene Graph Generation with External Knowledge and Image Reconstruction. CoRR (2019)
Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling
Scene Graph Generation With External Knowledge and Image Reconstruction. CVPR (2019)
Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, Thomas S. Huang
Free-Form Image Inpainting With Gated Convolution. ICCV (2019)
Mengtian Li, Zhe Lin, Radomír Mech, Ersin Yumer, Deva Ramanan
Photo-Sketching: Inferring Contour Drawings from Images. CoRR (2019)
Yulun Zhang, Chen Fang, Yilin Wang, Zhaowen Wang, Zhe Lin, Yun Fu, Jimei Yang
Multimodal Style Transfer via Graph Cuts. ICCV (2019)
Ying-Cong Chen, Xiaohui Shen, Zhe Lin, Xin Lu, I-Ming Pao, Jiaya Jia
Semantic Component Decomposition for Face Attribute Manipulation. CVPR (2019)
Lu Zhang, Zhe Lin, Jianming Zhang, Huchuan Lu, You He
Fast Video Object Segmentation via Dynamic Targeting Network. ICCV (2019)
Hao Tan, Franck Dernoncourt, Zhe Lin, Trung Bui, Mohit Bansal
Expressing Visual Relationships via Language. CoRR (2019)
Hao Tan, Franck Dernoncourt, Zhe Lin, Trung Bui, Mohit Bansal
Expressing Visual Relationships via Language. ACL (1) (2019)
Siyuan Qiao, Zhe Lin, Jianming Zhang, Alan L. Yuille
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization. CVPR (2019)
Pranav Aggarwal, Zhe Lin, Baldo Faieta, Saeid Motiian
Multitask Text-to-Visual Embedding with Titles and Clickthrough Data. CoRR (2019)
Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, Thomas S. Huang
Generative Image Inpainting with Contextual Attention. CoRR (2018)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhe Lin