Jianming Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 120

Top Venues

CoRR

CVPR

ICCV

IEEE Trans. Pattern Anal. Mach. Intell.

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)
Guangkai Xu, Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Simon Chen, Jia-Wang Bian
Towards Domain-agnostic Depth Completion. Mach. Intell. Res. 21 (4) (2024)
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 (2024)
Ke Xian, Juewen Peng, Zhiguo Cao, Jianming Zhang, Guosheng Lin
ViTA: Video Transformer Adaptor for Robust Video Depth Estimation. IEEE Trans. Multim. 26 (2024)
Xingyi Li, Zhiguo Cao, Huiqiang Sun, Jianming Zhang, Ke Xian, Guosheng Lin
3D Cinemagraphy from a Single Image. CoRR (2023)
Yiran Wang, Min Shi, Jiaqi Li, Zihao Huang, Zhiguo Cao, Jianming Zhang, Ke Xian, Guosheng Lin
Neural Video Depth Stabilizer. CoRR (2023)
Yiran Wang, Min Shi, Jiaqi Li, Zihao Huang, Zhiguo Cao, Jianming Zhang, Ke Xian, Guosheng Lin
Neural Video Depth Stabilizer. ICCV (2023)
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. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (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)
Dominique Piché-Meunier, Yannick Hold-Geoffroy, Jianming Zhang, Jean-François Lalonde
Lens Parameter Estimation for Realistic Depth of Field Modeling. ICCV (2023)
Xingyi Li, Zhiguo Cao, Huiqiang Sun, Jianming Zhang, Ke Xian, Guosheng Lin
3D Cinemagraphy from a Single Image. CVPR (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)
Jiaqi Li, Yiran Wang, Zihao Huang, Jinghong Zheng, Ke Xian, Zhiguo Cao, Jianming Zhang
Diffusion-Augmented Depth Prediction with Sparse Annotations. CoRR (2023)
Jiaqi Li, Yiran Wang, Zihao Huang, Jinghong Zheng, Ke Xian, Zhiguo Cao, Jianming Zhang
Diffusion-Augmented Depth Prediction with Sparse Annotations. ACM Multimedia (2023)
Dina Bashkirova, Arijit Ray, Rupayan Mallick, Sarah Adel Bargal, Jianming Zhang, Ranjay Krishna, Kate Saenko
Lasagna: Layered Score Distillation for Disentangled Object Relighting. CoRR (2023)
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)
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)
Yiran Wang, Zhiyu Pan, Xingyi Li, Zhiguo Cao, Ke Xian, Jianming Zhang
Less is More: Consistent Video Depth Estimation with Masked Frames Modeling. ACM Multimedia (2022)
Juewen Peng, Zhiguo Cao, Xianrui Luo, Hao Lu, Ke Xian, Jianming Zhang
BokehMe: When Neural Rendering Meets Classical Rendering. CoRR (2022)
Chenglin Yang, Yilin Wang, Jianming Zhang, He Zhang, Zijun Wei, Zhe Lin, Alan L. Yuille
Lite Vision Transformer with Enhanced Self-Attention. CVPR (2022)
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 (2022)
Soo Ye Kim, Jianming Zhang, Simon Niklaus, Yifei Fan, Simon Chen, Zhe Lin, Munchurl Kim
Layered Depth Refinement with Mask Guidance. CoRR (2022)
Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, John P. Collomosse
Text-to-Image Generation via Implicit Visual Guidance and Hypernetwork. CoRR (2022)
Juewen Peng, Jianming Zhang, Xianrui Luo, Hao Lu, Ke Xian, Zhiguo Cao
MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects. ECCV (6) (2022)
Yiran Wang, Zhiyu Pan, Xingyi Li, Zhiguo Cao, Ke Xian, Jianming Zhang
Less is More: Consistent Video Depth Estimation with Masked Frames Modeling. CoRR (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)
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 (2022)
Soo Ye Kim, Jianming Zhang, Simon Niklaus, Yifei Fan, Simon Chen, Zhe Lin, Munchurl Kim
Layered Depth Refinement with Mask Guidance. CVPR (2022)
Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Simon Chen, Chunhua Shen
Towards Domain-agnostic Depth Completion. CoRR (2022)
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 (2022)
Juewen Peng, Zhiguo Cao, Xianrui Luo, Hao Lu, Ke Xian, Jianming Zhang
BokehMe: When Neural Rendering Meets Classical Rendering. CVPR (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)
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)
Yichen Sheng, Jianming Zhang, Bedrich Benes
SSN: Soft Shadow Network for Image Compositing. CVPR (2021)
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)
Andrea Zunino, Sarah Adel Bargal, Pietro Morerio, Jianming Zhang, Stan Sclaroff, Vittorio Murino
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks. Int. J. Comput. Vis. 129 (4) (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)
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)
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)
Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff
Guided Zoom: Zooming into Network Evidence to Refine Fine-Grained Model Decisions. IEEE Trans. Pattern Anal. Mach. Intell. 43 (11) (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)
He Zhang, Jianming Zhang, Federico Perazzi, Zhe Lin, Vishal M. Patel
Deep Image Compositing. WACV (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)
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)
Jianan Li, Jimei Yang, Aaron Hertzmann, Jianming Zhang, Tingfa Xu
LayoutGAN: Synthesizing Graphic Layouts With Vector-Wireframe Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43 (7) (2021)
Jianan Li, Jimei Yang, Jianming Zhang, Chang Liu, Christina Wang, Tingfa Xu
Attribute-Conditioned Layout GAN for Automatic Graphic Design. IEEE Trans. Vis. Comput. Graph. 27 (10) (2021)
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)
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)
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)
Yichen Sheng, Jianming Zhang, Bedrich Benes
SSN: Soft Shadow Network for Image Compositing. CoRR (2020)
Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns
Shape Adaptor: A Learnable Resizing Module. ECCV (12) (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)
Lijun Wang, Jianming Zhang, Yifan Wang, Huchuan Lu, Xiang Ruan
CLIFFNet for Monocular Depth Estimation with Hierarchical Embedding Loss. ECCV (5) (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)
Jane L. E, Ohad Fried, Jingwan Lu, Jianming Zhang, Radomír Mech, Jose Echevarria, Pat Hanrahan, James A. Landay
Adaptive Photographic Composition Guidance. CHI (2020)
Jianan Li, Jimei Yang, Jianming Zhang, Chang Liu, Christina Wang, Tingfa Xu
Attribute-conditioned Layout GAN for Automatic Graphic Design. CoRR (2020)
Donghyun Kim, Sarah Adel Bargal, Jianming Zhang, Stan Sclaroff
Multi-way Encoding for Robustness. WACV (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)
Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Vittorio Murino, Stan Sclaroff, Kate Saenko
Beyond the Visual Analysis of Deep Model Saliency. xxAI@ICML (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)
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 (2020)
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)
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)
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 (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)
Jason Kuen, Federico Perazzi, Zhe L. Lin, Jianming Zhang, Yap-Peng Tan
Scaling Object Detection by Transferring Classification Weights. CoRR (2019)
Donghyun Kim, Sarah Adel Bargal, Jianming Zhang, Stan Sclaroff
Multi-way Encoding for Robustness. CoRR (2019)
Jason Kuen, Federico Perazzi, Zhe L. Lin, Jianming Zhang, Yap-Peng Tan
Scaling Object Detection by Transferring Classification Weights. ICCV (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)
Jianan Li, Jimei Yang, Aaron Hertzmann, Jianming Zhang, Tingfa Xu
LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators. ICLR (Poster) (2019)
Lu Zhang, Jianming Zhang, Zhe Lin, Huchuan Lu, You He
CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection. CVPR (2019)
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)
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)
Lu Zhang, Zhe Lin, Jianming Zhang, Huchuan Lu, You He
Fast Video Object Segmentation via Dynamic Targeting Network. ICCV (2019)
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)
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 (2019)
Yi Zeng, Pingping Zhang, Zhe L. Lin, Jianming Zhang, Huchuan Lu
Towards High-Resolution Salient Object Detection. ICCV (2019)
Yi Zeng, Pingping Zhang, Jianming Zhang, Zhe L. Lin, Huchuan Lu
Towards High-Resolution Salient Object Detection. CoRR (2019)
Jianan Li, Jimei Yang, Aaron Hertzmann, Jianming Zhang, Tingfa Xu
LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators. CoRR (2019)
Siyuan Qiao, Zhe Lin, Jianming Zhang, Alan L. Yuille
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization. CVPR (2019)
Yufei Wang, Zhe L. Lin, Xiaohui Shen, Jianming Zhang, Scott Cohen
Concept Mask: Large-Scale Segmentation from Semantic Concepts. ECCV (12) (2018)
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 (2018)
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). Int. J. Comput. Vis. 126 (7) (2018)
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) (2018)
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)
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)
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 (2018)
Yuqiu Kong, Jianming Zhang, Huchuan Lu, Xiuping Liu
Exemplar-Aided Salient Object Detection via Joint Latent Space Embedding. IEEE Trans. Image Process. 27 (10) (2018)
Hao Kang, Haoxiang Li, Jianming Zhang, Xin Lu, Bedrich Benes
FlyCam: Multitouch Gesture Controlled Drone Gimbal Photography. IEEE Robotics Autom. Lett. 3 (4) (2018)
Wei-Chih Hung, Jianming Zhang, Xiaohui Shen, Zhe Lin, Joon-Young Lee, Ming-Hsuan Yang
Learning to Blend Photos. ECCV (7) (2018)
Yufei Wang, Zhe L. Lin, Xiaohui Shen, Jianming Zhang, Scott Cohen
Concept Mask: Large-Scale Segmentation from Semantic Concepts. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jianming Zhang