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ORCIDZhe L. Lin
Zhe Lin 0001
Person information
- affiliation: Adobe Systems, Inc., San Jose, CA, 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.uni-trier.de/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
- 2022
[i70]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)- [i69]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) - [i68]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) - 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 L. 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 - [i67]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) - [i66]Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Federico Perazzi, Sun-Yuan Kung:
Content-Aware GAN Compression. CoRR abs/2104.02244 (2021) - [i65]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) - [i64]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) - [i63]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) - [i62]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) - [i61]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) - [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 L. Lin, Radomír Mech:
Best Frame Selection in a Short Video. WACV 2020: 3201-3210 - [i59]Ping Hu, Fabian Caba Heilbron, Oliver Wang, Zhe L. 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 L. 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 L. 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 L. 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 L. 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 L. Lin, Jianming Zhang, Yap-Peng Tan:
Scaling Object Detection by Transferring Classification Weights. ICCV 2019: 6043-6052 - [c84]Yi Zeng, Pingping Zhang, Zhe L. Lin, Jianming Zhang, Huchuan Lu:
Towards High-Resolution Salient Object Detection. ICCV 2019: 7233-7242 - [c83]Mengtian Li, Zhe L. 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 L. 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 L. Lin, Huchuan Lu:
Towards High-Resolution Salient Object Detection. CoRR abs/1908.07274 (2019) - [i37]Jason Kuen, Federico Perazzi, Zhe L. 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 L. Lin, Chih-Yao Hsieh, Sarah Kong, Huchuan Lu:
DeepLens: shallow depth of field from a single image. ACM Trans. Graph. 37(6): 245:1-245:11 (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 L. 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 L. Lin, Kalyan Sunkavalli, Brian L. Price, Jiaya Jia:
Compositing-Aware Image Search. ECCV (3) 2018: 517-532 - [c73]Yufei Wang, Zhe L. 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 L. Lin, Xiaohui Shen, Radomír Mech, Dimitris Samaras:
Sequence-to-Segment Networks for Segment Detection. NeurIPS 2018: 3511-3520 - [c69]Ning Yu, Xiaohui Shen, Zhe L. 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 L. 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 L. 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 L. 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 L. 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 L. Lin, Guo-Jun Qi:
Temporal Domain Neural Encoder for Video Representation Learning. CVPR Workshops 2017: 2192-2199 - [c64]