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Jianming Zhang 0001
Person information
- affiliation: Adobe Research, San Jose, USA
- affiliation (former): Boston University, Boston, USA
Other persons with the same name
- Jianming Zhang (aka: Jiangming Zhang, Jian-Ming Zhang, Jian-ming Zhang) — disambiguation page
- Jianming Zhang 0002
(aka: Jiangming Zhang 0002) — South China University of Technology, School of Mechanical and Automotive Engineering, Guangzhou, China
- Jianming Zhang 0003
- Jianming Zhang 0004
- Jianming Zhang 0005
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2020 – today
- 2025
- [j22]Yiran Wang
NVDS$^{\mathbf{+}}$+: Towards Efficient and Versatile Neural Stabilizer for Video Depth Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 583-600 (2025) - 2024
- [j21]Guangkai Xu
Towards Domain-agnostic Depth Completion. Mach. Intell. Res. 21(4): 652-669 (2024) - [j20]Haitian Zheng
Structure-Guided Image Completion With Image-Level and Object-Level Semantic Discriminators. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7669-7681 (2024) - [j19]Ke Xian
ViTA: Video Transformer Adaptor for Robust Video Depth Estimation. IEEE Trans. Multim. 26: 3302-3316 (2024) - [c80]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 - [c79]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 - [c78]Yiqun Mei, Yu Zeng, He Zhang, Zhixin Shu, Xuaner Zhang, Sai Bi, Jianming Zhang, HyunJoon Jung, Vishal M. Patel:
Holo-Relighting: Controllable Volumetric Portrait Relighting from a Single Image. CVPR 2024: 4263-4273 - [c77]Mengwei Ren, Wei Xiong, Jae Shin Yoon, Zhixin Shu, Jianming Zhang, Hyunjoon Jung, Guido Gerig, He Zhang:
Relightful Harmonization: Lighting-Aware Portrait Background Replacement. CVPR 2024: 6452-6462 - [c76]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 - [c75]Yao-Chih Lee, Zhoutong Zhang, Kevin Blackburn-Matzen, Simon Niklaus, Jianming Zhang, Jia-Bin Huang, Feng Liu:
Fast View Synthesis of Casual Videos with Soup-of-Planes. ECCV (38) 2024: 278-296 - [c74]Liao Shen
DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large Motion. ECCV (15) 2024: 336-353 - [c73]Jing Gu, Nanxuan Zhao, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, Hyunjoon Jung, Yilin Wang, Xin Eric Wang:
SwapAnything: Enabling Arbitrary Object Swapping in Personalized Image Editing. ECCV (32) 2024: 402-418 - [c72]Gemma Canet Tarres
Thinking Outside the BBox: Unconstrained Generative Object Compositing. ECCV (62) 2024: 476-495 - [c71]Zhengzhe Liu
Object-level Scene Deocclusion. SIGGRAPH (Conference Paper Track) 2024: 104 - [i66]Yiqun Mei, Yu Zeng, He Zhang, Zhixin Shu, Xuaner Zhang, Sai Bi, Jianming Zhang, Hyunjoon Jung, Vishal M. Patel:
Holo-Relighting: Controllable Volumetric Portrait Relighting from a Single Image. CoRR abs/2403.09632 (2024) - [i65]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) - [i64]Jing Gu, Yilin Wang, Nanxuan Zhao, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, Hyunjoon Jung, Xin Eric Wang:
SwapAnything: Enabling Arbitrary Object Swapping in Personalized Visual Editing. CoRR abs/2404.05717 (2024) - [i63]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) - [i62]Gemma Canet Tarres, Zhe L. 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) - [i61]Li Shen, Tianqi Liu, Huiqiang Sun, Xinyi Ye, Baopu Li, Jianming Zhang, Zhiguo Cao:
DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large Motion. CoRR abs/2409.09605 (2024) - 2023
- [j18]Haitian Zheng
Semantic Layout Manipulation With High-Resolution Sparse Attention. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3768-3782 (2023) - [j17]Wei Yin
Towards Accurate Reconstruction of 3D Scene Shape From A Single Monocular Image. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6480-6494 (2023) - [c70]Yiqun Mei, He Zhang, Xuaner Zhang, Jianming Zhang, Zhixin Shu, Yilin Wang, Zijun Wei, Shi Yan, Hyunjoon Jung, Vishal M. Patel:
LightPainter: Interactive Portrait Relighting with Freehand Scribble. CVPR 2023: 195-205 - [c69]Xingyi Li
3D Cinemagraphy from a Single Image. CVPR 2023: 4595-4605 - [c68]Yichen Sheng, Jianming Zhang, Julien Philip, Yannick Hold-Geoffroy, Xin Sun, He Zhang, Lu Ling, Bedrich Benes:
PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing. CVPR 2023: 16643-16653 - [c67]Linyi Jin, Jianming Zhang, Yannick Hold-Geoffroy, Oliver Wang, Kevin Blackburn-Matzen, Matthew Sticha, David F. Fouhey:
Perspective Fields for Single Image Camera Calibration. CVPR 2023: 17307-17316 - [c66]Yizhi Song, Zhifei Zhang, Zhe L. Lin, Scott Cohen, Brian L. Price, Jianming Zhang, Soo Ye Kim, Daniel G. Aliaga:
ObjectStitch: Object Compositing with Diffusion Model. CVPR 2023: 18310-18319 - [c65]Byeong-Uk Lee, Jianming Zhang, Yannick Hold-Geoffroy, In So Kweon:
Single View Scene Scale Estimation using Scale Field. CVPR 2023: 21435-21444 - [c64]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 - [c63]Dominique Piché-Meunier, Yannick Hold-Geoffroy, Jianming Zhang, Jean-François Lalonde:
Lens Parameter Estimation for Realistic Depth of Field Modeling. ICCV 2023: 499-508 - [c62]Desai Xie, Ping Hu, Xin Sun, Sören Pirk, Jianming Zhang, Radomír Mech, Arie E. Kaufman:
GAIT: Generating Aesthetic Indoor Tours with Deep Reinforcement Learning. ICCV 2023: 7375-7385 - [c61]Yiran Wang, Min Shi, Jiaqi Li, Zihao Huang, Zhiguo Cao, Jianming Zhang, Ke Xian, Guosheng Lin:
Neural Video Depth Stabilizer. ICCV 2023: 9432-9442 - [c60]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 - [c59]Jiaqi Li
Diffusion-Augmented Depth Prediction with Sparse Annotations. ACM Multimedia 2023: 2865-2876 - [c58]Jing Gu, Yilin Wang, Nanxuan Zhao, Tsu-Jui Fu, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, Hyunjoon Jung, Xin Eric Wang:
PHOTOSWAP: Personalized Subject Swapping in Images. NeurIPS 2023 - [i60]Yichen Sheng, Jianming Zhang, Julien Philip, Yannick Hold-Geoffroy, Xin Sun, He Zhang, Lu Ling, Bedrich Benes:
PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing. CoRR abs/2303.00137 (2023) - [i59]Xingyi Li, Zhiguo Cao, Huiqiang Sun, Jianming Zhang, Ke Xian, Guosheng Lin:
3D Cinemagraphy from a Single Image. CoRR abs/2303.05724 (2023) - [i58]Yiqun Mei, He Zhang, Xuaner Zhang, Jianming Zhang, Zhixin Shu, Yilin Wang, Zijun Wei, Shi Yan, Hyunjoon Jung, Vishal M. Patel:
LightPainter: Interactive Portrait Relighting with Freehand Scribble. CoRR abs/2303.12950 (2023) - [i57]Jing Gu, Yilin Wang, Nanxuan Zhao, Tsu-Jui Fu, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, Hyunjoon Jung, Xin Eric Wang:
Photoswap: Personalized Subject Swapping in Images. CoRR abs/2305.18286 (2023) - [i56]Yiran Wang, Min Shi, Jiaqi Li
Neural Video Depth Stabilizer. CoRR abs/2307.08695 (2023) - [i55]Jiaqi Li, Yiran Wang, Zihao Huang, Jinghong Zheng, Ke Xian, Zhiguo Cao, Jianming Zhang:
Diffusion-Augmented Depth Prediction with Sparse Annotations. CoRR abs/2308.02283 (2023) - [i54]Dina Bashkirova, Arijit Ray, Rupayan Mallick, Sarah Adel Bargal, Jianming Zhang, Ranjay Krishna, Kate Saenko:
Lasagna: Layered Score Distillation for Disentangled Object Relighting. CoRR abs/2312.00833 (2023) - [i53]Yao-Chih Lee, Zhoutong Zhang, Kevin Blackburn-Matzen, Simon Niklaus, Jianming Zhang, Jia-Bin Huang, Feng Liu:
Fast View Synthesis of Casual Videos. CoRR abs/2312.02135 (2023) - [i52]Mengwei Ren, Wei Xiong, Jae Shin Yoon, Zhixin Shu, Jianming Zhang, Hyunjoon Jung, Guido Gerig, He Zhang:
Relightful Harmonization: Lighting-aware Portrait Background Replacement. CoRR abs/2312.06886 (2023) - [i51]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
- [c57]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 - [c56]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 - [c55]Juewen Peng, Zhiguo Cao, Xianrui Luo, Hao Lu, Ke Xian, Jianming Zhang:
BokehMe: When Neural Rendering Meets Classical Rendering. CVPR 2022: 16262-16271 - [c54]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 - [c53]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 - [c52]Juewen Peng
MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects. ECCV (6) 2022: 590-607 - [c51]Yiran Wang, Zhiyu Pan, Xingyi Li
Less is More: Consistent Video Depth Estimation with Masked Frames Modeling. ACM Multimedia 2022: 6347-6358 - [i50]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) - [i49]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) - [i48]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) - [i47]Juewen Peng, Zhiguo Cao, Xianrui Luo, Hao Lu, Ke Xian, Jianming Zhang:
BokehMe: When Neural Rendering Meets Classical Rendering. CoRR abs/2206.12614 (2022) - [i46]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) - [i45]Juewen Peng, Jianming Zhang, Xianrui Luo, Hao Lu, Ke Xian, Zhiguo Cao:
MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects. CoRR abs/2207.08403 (2022) - [i44]Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Simon Chen, Chunhua Shen:
Towards Domain-agnostic Depth Completion. CoRR abs/2207.14466 (2022) - [i43]Yiran Wang, Zhiyu Pan, Xingyi Li, Zhiguo Cao, Ke Xian, Jianming Zhang:
Less is More: Consistent Video Depth Estimation with Masked Frames Modeling. CoRR abs/2208.00380 (2022) - [i42]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) - [i41]Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Simon Chen, Yifan Liu, Chunhua Shen:
Towards Accurate Reconstruction of 3D Scene Shape from A Single Monocular Image. CoRR abs/2208.13241 (2022) - [i40]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) - [i39]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) - [i38]Linyi Jin, Jianming Zhang, Yannick Hold-Geoffroy, Oliver Wang, Kevin Matzen, Matthew Sticha, David F. Fouhey:
Perspective Fields for Single Image Camera Calibration. CoRR abs/2212.03239 (2022) - [i37]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) - 2021
- [j16]Andrea Zunino
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks. Int. J. Comput. Vis. 129(4): 1139-1152 (2021) - [j15]Zijun Wei
Sequence-to-Segments Networks for Detecting Segments in Videos. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 1009-1021 (2021) - [j14]Jianan Li
LayoutGAN: Synthesizing Graphic Layouts With Vector-Wireframe Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2388-2399 (2021) - [j13]Sarah Adel Bargal
Guided Zoom: Zooming into Network Evidence to Refine Fine-Grained Model Decisions. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 4196-4202 (2021) - [j12]Zhenyu Wu, Zhaowen Wang, Ye Yuan, Jianming Zhang, Zhangyang Wang, Hailin Jin:
Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 114:1-114:18 (2021) - [j11]Jianan Li
Attribute-Conditioned Layout GAN for Automatic Graphic Design. IEEE Trans. Vis. Comput. Graph. 27(10): 4039-4048 (2021) - [c50]Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Long Mai, Simon Chen, Chunhua Shen:
Learning To Recover 3D Scene Shape From a Single Image. CVPR 2021: 204-213 - [c49]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 - [c48]Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko
Explainable Deep Classification Models for Domain Generalization. CVPR Workshops 2021: 3233-3242 - [c47]Yichen Sheng, Jianming Zhang, Bedrich Benes:
SSN: Soft Shadow Network for Image Compositing. CVPR 2021: 4380-4390 - [c46]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 - [c45]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 - [c44]Manuel Lagunas
Single-image Full-body Human Relighting. EGSR (DL) 2021: 167-177 - [c43]He Zhang, Jianming Zhang, Federico Perazzi, Zhe Lin, Vishal M. Patel:
Deep Image Compositing. WACV 2021: 365-374 - [i36]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) - [i35]Manuel Lagunas, Xin Sun, Jimei Yang, Ruben Villegas, Jianming Zhang, Zhixin Shu, Belén Masiá, Diego Gutierrez:
Single-image Full-body Human Relighting. CoRR abs/2107.07259 (2021) - [i34]Zhenyu Wu, Zhaowen Wang, Ye Yuan, Jianming Zhang, Zhangyang Wang, Hailin Jin:
Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study. CoRR abs/2107.12202 (2021) - [i33]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) - [i32]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
- [c42]Peng Zhou, Long Mai, Jianming Zhang, Ning Xu, Zuxuan Wu, Larry Davis:
M2KD: Incremental Learning via Multi-model and Multi-level Knowledge Distillation. BMVC 2020 - [c41]Jane L. E
Adaptive Photographic Composition Guidance. CHI 2020: 1-13 - [c40]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 - [c39]Ke Xian
Structure-Guided Ranking Loss for Single Image Depth Prediction. CVPR 2020: 608-617 - [c38]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 - [c37]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 - [c36]Xihui Liu
Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions. ECCV (11) 2020: 89-106 - [c35]Lijun Wang
CLIFFNet for Monocular Depth Estimation with Hierarchical Embedding Loss. ECCV (5) 2020: 316-331 - [c34]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 - [c33]Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns
Shape Adaptor: A Learnable Resizing Module. ECCV (12) 2020: 661-677 - [c32]Evangelos Ntavelis, Andrés Romero, Siavash Bigdeli, Radu Timofte
AIM 2020 Challenge on Image Extreme Inpainting. ECCV Workshops (3) 2020: 716-741 - [c31]Sarah Adel Bargal
Beyond the Visual Analysis of Deep Model Saliency. xxAI@ICML 2020: 255-269 - [c30]Akash Gupta, Rameswar Panda, Sujoy Paul, Jianming Zhang, Amit K. Roy-Chowdhury:
Adversarial Knowledge Transfer from Unlabeled Data. ACM Multimedia 2020: 2175-2183 - [c29]Yuliang Zou, Jimei Yang, Duygu Ceylan, Jianming Zhang, Federico Perazzi, Jia-Bin Huang:
Reducing Footskate in Human Motion Reconstruction with Ground Contact Constraints. WACV 2020: 448-457 - [c28]Donghyun Kim
Multi-way Encoding for Robustness. WACV 2020: 1341-1349 - [i31]Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko:
Explainable Deep Classification Models for Domain Generalization. CoRR abs/2003.06498 (2020) - [i30]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) - [i29]Yichen Sheng, Jianming Zhang, Bedrich Benes:
SSN: Soft Shadow Network for Image Compositing. CoRR abs/2007.08211 (2020) - [i28]Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns:
Shape Adaptor: A Learnable Resizing Module. CoRR abs/2008.00892 (2020) - [i27]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) - [i26]Akash Gupta, Rameswar Panda, Sujoy Paul, Jianming Zhang, Amit K. Roy-Chowdhury:
Adversarial Knowledge Transfer from Unlabeled Data. CoRR abs/2008.05746 (2020) - [i25]Jianan Li, Jimei Yang, Jianming Zhang, Chang Liu, Christina Wang, Tingfa Xu:
Attribute-conditioned Layout GAN for Automatic Graphic Design. CoRR abs/2009.05284 (2020) - [i24]He Zhang, Jianming Zhang, Federico Perazzi, Zhe Lin, Vishal M. Patel:
Deep Image Compositing. CoRR abs/2011.02146 (2020) - [i23]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) - [i22]Chenglin Yang, Yilin Wang, Jianming Zhang, He Zhang, Zhe Lin, Alan L. Yuille:
Meticulous Object Segmentation. CoRR abs/2012.07181 (2020) - [i21]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) - [i20]Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Long Mai, Simon Chen, Chunhua Shen:
Learning to Recover 3D Scene Shape from a Single Image. CoRR abs/2012.09365 (2020)
2010 – 2019
- 2019
- [b2]Jianming Zhang, Filip Malmberg, Stan Sclaroff:
Visual Saliency: From Pixel-Level to Object-Level Analysis. Springer 2019, ISBN 978-3-030-04830-3, pp. 1-114 - [j10]Xin Ye
GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment. IEEE Robotics Autom. Lett. 4(4): 4003-4010 (2019) - [c27]Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff:
Guided Zoom: Questioning Network Evidence for Fine-grained Classification. BMVC 2019: 17 - [c26]Shuai Ma
SmartEye: Assisting Instant Photo Taking via Integrating User Preference with Deep View Proposal Network. CHI 2019: 471 - [c25]Siyuan Qiao, Zhe Lin, Jianming Zhang, Alan L. Yuille
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization. CVPR 2019: 61-71 - [c24]Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff:
Are CNN Predictions based on Reasonable Evidence? CVPR Workshops 2019: 67-70 - [c23]Lu Zhang, Jianming Zhang, Zhe Lin, Huchuan Lu, You He:
CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection. CVPR 2019: 6024-6033 - [c22]Lu Zhang, Zhe Lin, Jianming Zhang, Huchuan Lu, You He:
Fast Video Object Segmentation via Dynamic Targeting Network. ICCV 2019: 5581-5590 - [c21]Jason Kuen, Federico Perazzi, Zhe L. Lin, Jianming Zhang, Yap-Peng Tan:
Scaling Object Detection by Transferring Classification Weights. ICCV 2019: 6043-6052 - [c20]Yi Zeng, Pingping Zhang, Zhe L. Lin, Jianming Zhang, Huchuan Lu:
Towards High-Resolution Salient Object Detection. ICCV 2019: 7233-7242 - [c19]Jianan Li, Jimei Yang, Aaron Hertzmann, Jianming Zhang, Tingfa Xu:
LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators. ICLR (Poster) 2019 - [i19]Jianan Li, Jimei Yang, Aaron Hertzmann, Jianming Zhang, Tingfa Xu:
LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators. CoRR abs/1901.06767 (2019) - [i18]Peng Zhou, Long Mai, Jianming Zhang, Ning Xu, Zuxuan Wu, Larry S. Davis:
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning. CoRR abs/1904.01769 (2019) - [i17]Donghyun Kim, Sarah Adel Bargal, Jianming Zhang, Stan Sclaroff:
Multi-way Encoding for Robustness. CoRR abs/1906.02033 (2019) - [i16]Yi Zeng, Pingping Zhang, Jianming Zhang, Zhe L. Lin, Huchuan Lu:
Towards High-Resolution Salient Object Detection. CoRR abs/1908.07274 (2019) - [i15]Jason Kuen, Federico Perazzi, Zhe L. Lin, Jianming Zhang, Yap-Peng Tan:
Scaling Object Detection by Transferring Classification Weights. CoRR abs/1909.06804 (2019) - [i14]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
- [j9]Shugao Ma
Space-Time Tree Ensemble for Action Recognition and Localization. Int. J. Comput. Vis. 126(2-4): 314-332 (2018) - [j8]Danna Gurari
Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s). Int. J. Comput. Vis. 126(7): 714-730 (2018) - [j7]Jianming Zhang
Top-Down Neural Attention by Excitation Backprop. Int. J. Comput. Vis. 126(10): 1084-1102 (2018) - [j6]Hao Kang
FlyCam: Multitouch Gesture Controlled Drone Gimbal Photography. IEEE Robotics Autom. Lett. 3(4): 3717-3724 (2018) - [j5]Yuqiu Kong, Jianming Zhang, Huchuan Lu
Exemplar-Aided Salient Object Detection via Joint Latent Space Embedding. IEEE Trans. Image Process. 27(10): 5167-5177 (2018) - [j4]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 (2018) - [c18]Sarah Adel Bargal, Andrea Zunino, Donghyun Kim
Excitation Backprop for RNNs. CVPR 2018: 1440-1449 - [c17]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 - [c16]Wei-Chih Hung, Jianming Zhang, Xiaohui Shen, Zhe Lin, Joon-Young Lee, Ming-Hsuan Yang:
Learning to Blend Photos. ECCV (7) 2018: 72-88 - [c15]Yufei Wang
Concept Mask: Large-Scale Segmentation from Semantic Concepts. ECCV (12) 2018: 542-557 - [c14]Rameswar Panda, Jianming Zhang, Haoxiang Li, Joon-Young Lee, Xin Lu, Amit K. Roy-Chowdhury:
Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias. ECCV (2) 2018: 594-612 - [c13]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 - [i13]Andrea Zunino, Sarah Adel Bargal, Pietro Morerio, Jianming Zhang, Stan Sclaroff, Vittorio Murino:
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks. CoRR abs/1805.09092 (2018) - [i12]Rameswar Panda, Jianming Zhang, Haoxiang Li, Joon-Young Lee, Xin Lu, Amit K. Roy-Chowdhury:
Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias. CoRR abs/1808.02212 (2018) - [i11]Yufei Wang, Zhe L. Lin, Xiaohui Shen, Jianming Zhang, Scott Cohen:
Concept Mask: Large-Scale Segmentation from Semantic Concepts. CoRR abs/1808.06032 (2018) - [i10]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) - [i9]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) - [i8]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) - [i7]Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff:
Guided Zoom: Questioning Network Evidence for Fine-grained Classification. CoRR abs/1812.02626 (2018) - 2017
- [j3]Jianming Zhang
Salient Object Subitizing. Int. J. Comput. Vis. 124(2): 169-186 (2017) - [j2]Shugao Ma
Do less and achieve more: Training CNNs for action recognition utilizing action images from the Web. Pattern Recognit. 68: 334-345 (2017) - [c12]Vasili Ramanishka, Abir Das, Jianming Zhang, Kate Saenko
Top-Down Visual Saliency Guided by Captions. CVPR 2017: 3135-3144 - [c11]Filip Malmberg, Robin Strand, Jianming Zhang, Stan Sclaroff:
The Boolean Map Distance: Theory and Efficient Computation. DGCI 2017: 335-346 - [i6]Danna Gurari, Kun He, Bo Xiong, Jianming Zhang, Mehrnoosh Sameki, Suyog Dutt Jain, Stan Sclaroff, Margrit Betke, Kristen Grauman:
Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s). CoRR abs/1705.00366 (2017) - [i5]Sarah Adel Bargal, Andrea Zunino, Donghyun Kim, Jianming Zhang, Vittorio Murino, Stan Sclaroff:
Excitation Backprop for RNNs. CoRR abs/1711.06778 (2017) - 2016
- [b1]Jianming Zhang:
Visual saliency computation for image analysis. Boston University, USA, 2016 - [j1]Jianming Zhang, Stan Sclaroff:
Exploiting Surroundedness for Saliency Detection: A Boolean Map Approach. IEEE Trans. Pattern Anal. Mach. Intell. 38(5): 889-902 (2016) - [c10]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 - [c9]Jianming Zhang, Zhe L. Lin, Jonathan Brandt, Xiaohui Shen, Stan Sclaroff:
Top-Down Neural Attention by Excitation Backprop. ECCV (4) 2016: 543-559 - [i4]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) - [i3]Jianming Zhang, Zhe Lin, Jonathan Brandt, Xiaohui Shen, Stan Sclaroff:
Top-down Neural Attention by Excitation Backprop. CoRR abs/1608.00507 (2016) - [i2]Vasili Ramanishka, Abir Das, Jianming Zhang, Kate Saenko:
Top-down Visual Saliency Guided by Captions. CoRR abs/1612.07360 (2016) - 2015
- [c8]Jianming Zhang, Shugao Ma, Mehrnoosh Sameki, Stan Sclaroff, Margrit Betke, Zhe L. Lin, Xiaohui Shen, Brian L. Price, Radomír Mech:
Salient Object Subitizing. CVPR 2015: 4045-4054 - [c7]Jianming Zhang, Stan Sclaroff, Zhe L. Lin, Xiaohui Shen, Brian L. Price, Radomír Mech:
Minimum Barrier Salient Object Detection at 80 FPS. ICCV 2015: 1404-1412 - [i1]Shugao Ma, Sarah Adel Bargal, Jianming Zhang, Leonid Sigal, Stan Sclaroff:
Do Less and Achieve More: Training CNNs for Action Recognition Utilizing Action Images from the Web. CoRR abs/1512.07155 (2015) - 2014
- [c6]Jianming Zhang, Shugao Ma, Stan Sclaroff:
MEEM: Robust Tracking via Multiple Experts Using Entropy Minimization. ECCV (6) 2014: 188-203 - 2013
- [c5]Zheng Wu, Jianming Zhang, Margrit Betke:
Online Motion Agreement Tracking. BMVC 2013 - [c4]James M. Rehg
Decoding Children's Social Behavior. CVPR 2013: 3414-3421 - [c3]Jianming Zhang, Stan Sclaroff:
Saliency Detection: A Boolean Map Approach. ICCV 2013: 153-160 - [c2]Shugao Ma, Jianming Zhang, Nazli Ikizler-Cinbis, Stan Sclaroff:
Action Recognition and Localization by Hierarchical Space-Time Segments. ICCV 2013: 2744-2751 - 2012
- [c1]Jianming Zhang, Liliana Lo Presti
Online Multi-person Tracking by Tracker Hierarchy. AVSS 2012: 379-385
Coauthor Index
[j20] [c80] [c79] [c76] [c72] [c71] [i65] [i63] [i62] [j18] [c66] [c64] [c60] [i51] [c57] [c56] [c54] [c53] [i50] [i49] [i48] [i46] [i42] [i40] [i39] [i37] [j15] [c49] [c46] [c45] [c43] [i36] [i33] [i32] [c40] [c39] [c38] [c37] [c36] [c34] [c33] [c32] [i30] [i28] [i27] [i24] [i23] [i22] [i21] [j10] [c26] [c25] [c23] [c22] [c21] [c20] [i16] [i15] [i14] [j7] [j4] [c17] [c16] [c15] [c13] [i11] [i10] [i9] [i8] [j3] [c10] [c9] [i4] [i3] [c8] [c7]
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