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ActAnywhere: Subject-Aware Video Background Generation
Boxiao Pan, Zhan Xu, Chun-Hao Paul Huang, Krishna Kumar Singh, Yang Zhou, Leonidas J. Guibas, Jimei Yang
Conference on Neural Information Processing Systems (NeurIPS), 2024
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Generative Portrait Shadow Removal
Jae Shin Yoon, Zhixin Shu, Mengwei Ren, Xuaner Zhang, Yannick Hold-Geoffroy, Krishna Kumar Singh, He Zhang
ACM Transactions on Graphics (SIGGRAPH) Asia, 2024
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Removing Distributional Discrepancies in Captions Improves Image-Text Alignment
Yuheng Li, Haotian Liu, Mu Cai, Yijun Li, Eli Shechtman, Zhe Lin, Yong Jae Lee, and Krishna Kumar Singh
European Conference on Computer Vision (ECCV), 2024
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GroupDiff: Diffusion-based Group Portrait Editing
Yuming Jiang, Nanxuan Zhao, Qing Liu, Krishna Kumar Singh, Shuai Yang, Chen Change Loy, Ziwei Liu
European Conference on Computer Vision (ECCV), 2024
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Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods
Wonwoong Cho, Hareesh Ravi, Midhun Harikumar, Vinh Khuc, Krishna Kumar Singh, Jingwan Lu, David I Inouye, Ajinkya Kale
European Conference on Computer Vision (ECCV), 2024
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Separate-and-Enhance: Compositional Finetuning for Text-to-Image Diffusion Models
Zhipeng Bao, Yijun Li, Krishna Kumar Singh, Yu-Xiong Wang, Martial Hebert
ACM Transactions on Graphics (SIGGRAPH), 2024
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UniHuman: A Unified Model for Editing Human Images in the Wild
Nannan Li, Qing Liu, Krishna Kumar Singh, Yilin Wang, Jianming Zhang, Bryan A. Plummer, Zhe Lin
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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P2D: Plug and Play Discriminator for accelerating GAN frameworks
Min Jin Chong, Krishna Kumar Singh,Yijun Li, Jingwan Lu, David Forsyth
Winter Conference on Applications of Computer Vision (WACV), 2024
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Discovering and Mitigating Biases in CLIP-based Image Editing
Md Mehrab Tanjim, Krishna Kumar Singh, Kushal Kafle, Ritwik Sinha, Garrison W. Cottrell
Winter Conference on Applications of Computer Vision (WACV), 2024
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Consistent Multimodal Generation via A Unified GAN Framework
Zhen Zhu, Yijun Li, Weijie Lyu, Krishna Kumar Singh , Zhixin Shu, Sören Pirk, Derek Hoiem
Winter Conference on Applications of Computer Vision (WACV), 2024
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UMFuse: Unified Multi View Fusion for Human Editing applications
Rishabh Jain, Mayur Hemani, Duygu Ceylan, Krishna Kumar Singh, Jingwan Lu, Mausoom Sarkar, Balaji Krishnamurthy
Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2023
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Zero-shot Image-to-Image Translation
Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu
ACM Transactions on Graphics (SIGGRAPH), 2023
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Modulating Pretrained Diffusion Models for Multimodal Image Synthesis
Cusuh Ham, James Hays, Jingwan Lu, Krishna Kumar Singh, Zhifei Zhang, Tobias Hinz
ACM Transactions on Graphics (SIGGRAPH), 2023
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Putting People in Their Place: Affordance-Aware Human Insertion into Scenes
Sumith Kulal, Tim Brooks, Alex Aiken, Jiajun Wu, Jimei Yang, Jingwan Lu, Alexei A Efros, Krishna Kumar Singh
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
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VGFlow: Visibility guided Flow Network for Human Reposing
Rishabh Jain, Krishna Kumar Singh, Mayur Hemani, Jingwan Lu, Mausoom Sarkar, Duygu Ceylan, Balaji Krishnamurthy
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
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Complete 3D Human Reconstruction from a Single Incomplete Image
Junying Wang, Jae Shin Yoon, Tuanfeng Y. Wang, Krishna Kumar Singh, and Ulrich Neumann
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
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Debiasing Image-to-Image Translation Models
Md Mehrab Tanjim, Krishna Kumar Singh, Kushal Kafle, Ritwik Sinha, Garrison W. Cottrell
British Machine Vision Conference (BMVC), 2022
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Contrastive Learning for Diverse Disentangled Foreground Generation
Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh
European Conference on Computer Vision (ECCV) , 2022
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Discovering and Mitigating Biases in CLIP-based Text-to-Image Generation
Md Mehrab Tanjim, Krishna Kumar Singh, Kushal Kafle, Ritwik Sinha, Garrison W. Cottrell
European Conference on Computer Vision (ECCV) Worshop, 2022
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Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing
Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
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GIRAFFE HD: A High-Resolution 3D-aware Generative Model
Yang Xue, Yuheng Li, Krishna Kumar Singh , Yong Jae Lee
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
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InsetGAN for Full-Body Image Generation
Anna Frühstück, Krishna Kumar Singh, Eli Shechtman, Niloy J. Mitra, Peter Wonka, Jingwan Lu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
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Generating and Controlling Diversity in Image Search
Md Mehrab Tanjim, Ritwik Sinha, Krishna Kumar Singh , Sridhar Mahadevan, David Arbour, Moumita Sinha, Garrison W. Cottrell
Winter Conference on Applications of Computer Vision (WACV), 2022
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Dance In the Wild: Monocular Human Animation with Neural Dynamic Appearance Synthesis
Tuanfeng Y. Wang, Duygu Ceylan, Krishna Kumar Singh, Niloy J. Mitra
International Conference on 3D Vision (3DV), 2021
(oral presentation)
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PartGAN: Weakly-supervised Part Decomposition for Image Generation and Segmentation
Yuheng Li, Krishna Kumar Singh , Yang Xue, Yong Jae Lee
British Machine Vision Conference (BMVC), 2021
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Collaging Class-specific GANs for Semantic Image Synthesis
Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh
Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2021
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Seeing the Unseen: Predicting the First-Person Camera Wearer's Location and Pose in Third-Person Scenes
Yangming Wen, Krishna Kumar Singh, Markham Anderson, Wei-Pang Jan, Yong Jae Lee
International Workshop on Egocentric Perception, Interaction and Computing (EPIC), ICCV 2021
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IMAGINE: Image Synthesis by Image-Guided Model Inversion
Pei Wang, Yijun Li, Krishna Kumar Singh, Jingwan Lu, Nuno Vasconcelos
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
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Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains
Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee
International Conference on Learning Representations (ICLR), 2021
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Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data
Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee
Conference on Neural Information Processing Systems (NeurIPS), 2020
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Don’t Judge an Object by Its Context: Learning to Overcome Contextual Bias
Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Oral Presentation
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MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation
Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
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FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery
Krishna Kumar Singh*, Utkarsh Ojha*, Yong Jae Lee
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
* equal contribution
Oral Presentation
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You reap what you sow: Using Videos to Generate High Precision Object Proposals for Weakly-supervised Object Detection
Krishna Kumar Singh, Yong Jae Lee
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
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DOCK: Detecting Objects by transferring Common-sense Knowledge
Krishna Kumar Singh, Santosh Divvala, Ali Farhadi, Yong Jae Lee
European Conference on Computer Vision (ECCV), 2018
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Who Will Share My Image? Predicting the Content Diffusion Path in Online Social Networks
Wenjian Hu, Krishna Kumar Singh*, Fanyi Xiao*, Jinyoung Han, Chen-Nee Chuah, Yong Jae Lee
ACM International Conference on Web Search and Data Mining (WSDM), 2018
* equal contribution
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Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization
Krishna Kumar Singh, Yong Jae Lee
International Conference on Computer Vision (ICCV), 2017
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond
Krishna Kumar Singh, Hao Yu, Aron Sarmasi, Gautam Pradeep, Yong Jae Lee
Arxiv, 2018
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Identifying First-Person Camera Wearers in Third-Person Videos
C. Fan, J. Lee, M. Xu, K. K. Singh , Y. J. Lee, D. J. Crandall, and M. S. Ryoo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
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End-to-End Localization and Ranking for Relative Attributes
Krishna Kumar Singh, Yong Jae Lee
European Conference on Computer Vision (ECCV), 2016
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Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection
Krishna Kumar Singh, Fanyi Xiao, Yong Jae Lee
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
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KrishnaCam: Using a Longitudinal, Single-Person, Egocentric Dataset for Scene Understanding Tasks
Krishna Kumar Singh, Kayvon Fatahalian, Alexei A. Efros
Winter Conference on Applications of Computer Vision (WACV), 2016
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Storytelling Patches: Predicting Tourist Spots in a City
Aayush Bansal, Krishna Kumar Singh
ECCV Workshop on Storytelling with Images and Videos (VisStory), 2014
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Geometry Directed Browser for Personal Photographs
Aditya Deshpande, Siddharth Choudhary, P J Narayanan, Krishna Kumar Singh, Kaustav Kundu, Aditya Singh, Apurva Kumar
ACM Indian Conference On Vision, Graphics And Image Processing (ICVGIP), 2012
(oral presentation)
[Video]
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Hybrid Multi-Core Algorithms for Regular Image Filtering Applications
Shrenik Lad, Krishna Kumar Singh, Kishore Kothapalli, P J Narayanan
IEEE International Conference on High Performance Computing (HiPC) Student Research Symposium, 2012 (NVIDIA Best GPU Poster Award)
[Poster]
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