Krishna Kumar Singh

According to our database, Krishna Kumar Singh authored at least 58 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Generative Portrait Shadow Removal.

Jae Shin Yoon, Zhixin Shu, Mengwei Ren, Cecilia Zhang, Yannick Hold-Geoffroy, Krishna Kumar Singh, He Zhang

ACM Trans. Graph., December, 2024

Correction to: Impact of ratings of content on OTT platforms and prediction of its success rate.

Krishna Kumar Singh, Jeroz Makhania, Madhumita Mahapatra

Multim. Tools Appl., January, 2024

Impact of ratings of content on OTT platforms and prediction of its success rate.

Krishna Kumar Singh, Jeroz Makhania, Madhumita Mahapatra

Multim. Tools Appl., January, 2024

Generative Portrait Shadow Removal.

Jae Shin Yoon, Zhixin Shu, Mengwei Ren, Xuaner Zhang, Yannick Hold-Geoffroy, Krishna Kumar Singh, He Zhang

CoRR, 2024

ActAnywhere: Subject-Aware Video Background Generation.

Boxiao Pan, Zhan Xu, Chun-Hao Paul Huang, Krishna Kumar Singh, Yang Zhou, Leonidas J. Guibas, Jimei Yang

CoRR, 2024

Consistent Multimodal Generation via A Unified GAN Framework.

Zhen Zhu, Yijun Li, Weijie Lyu, Krishna Kumar Singh, Zhixin Shu, Sören Pirk, Derek Hoiem

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Discovering and Mitigating Biases in CLIP-based Image Editing.

Md. Mehrab Tanjim, Krishna Kumar Singh, Kushal Kafle, Ritwik Sinha, Garrison W. Cottrell

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

P2D: Plug and Play Discriminator for accelerating GAN frameworks.

Min Jin Chong, Krishna Kumar Singh, Yijun Li, Jingwan Lu, David A. Forsyth

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Separate-and-Enhance: Compositional Finetuning for Text-to-Image Diffusion Models.

Zhipeng Bao, Yijun Li, Krishna Kumar Singh, Yu-Xiong Wang, Martial Hebert

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

Removing Distributional Discrepancies in Captions Improves Image-Text Alignment.

Yuheng Li, Haotian Liu, Mu Cai, Yijun Li, Eli Shechtman, Zhe Lin, Yong Jae Lee, Krishna Kumar Singh

Proceedings of the Computer Vision - ECCV 2024, 2024

GroupDiff: Diffusion-Based Group Portrait Editing.

Yuming Jiang, Nanxuan Zhao, Qing Liu, Krishna Kumar Singh, Shuai Yang, Chen Change Loy, Ziwei Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Psychological Study of Cyber-Bullying Against Adolescent Girls in India Using Twitter.

Kavya Sharma, Krishna Kumar Singh

Int. J. Cyber Behav. Psychol. Learn., June, 2023

Separate-and-Enhance: Compositional Finetuning for Text2Image Diffusion Models.

Zhipeng Bao, Yijun Li, Krishna Kumar Singh, Yu-Xiong Wang, Martial Hebert

CoRR, 2023

Towards Enhanced Controllability of Diffusion Models.

Wonwoong Cho, Hareesh Ravi, Midhun Harikumar, Vinh Khuc, Krishna Kumar Singh, Jingwan Lu, David I. Inouye, Ajinkya Kale

CoRR, 2023

Zero-shot Image-to-Image Translation.

Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

Modulating Pretrained Diffusion Models for Multimodal Image Synthesis.

Cusuh Ham, James Hays, Jingwan Lu, Krishna Kumar Singh, Zhifei Zhang, Tobias Hinz

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

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/CVF International Conference on Computer Vision, 2023

A Survey of Disease Detection in Cauliflower Using Machine Learning and Deep Learning Techniques.

Swapna Tekale, Krishna Kumar Singh

Proceedings of the IEEE International Carnahan Conference on Security Technology, 2023

Complete 3D Human Reconstruction from a Single Incomplete Image.

Junying Wang, Jae Shin Yoon, Tuanfeng Y. Wang, Krishna Kumar Singh, Ulrich Neumann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

VGFlow: Visibility guided Flow Network for Human Reposing.

Rishabh Jain, Krishna Kumar Singh, Mayur Hemani, Jingwan Lu, Mausoom Sarkar, Duygu Ceylan, Balaji Krishnamurthy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Generating and Controlling Diversity in Image Search.

Md. Mehrab Tanjim, Ritwik Sinha, Krishna Kumar Singh, Sridhar Mahadevan, David Arbour, Moumita Sinha, Garrison W. Cottrell

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Contrastive Learning for Diverse Disentangled Foreground Generation.

Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh

Proceedings of the Computer Vision - ECCV 2022, 2022

GIRAFFE HD: A High-Resolution 3D-aware Generative Model.

Yang Xue, Yuheng Li, Krishna Kumar Singh, Yong Jae Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing.

Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

InsetGAN for Full-Body Image Generation.

Anna Frühstück, Krishna Kumar Singh, Eli Shechtman, Niloy J. Mitra, Peter Wonka, Jingwan Lu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Debiasing Image-to-Image Translation Models.

Md. Mehrab Tanjim, Krishna Kumar Singh, Kushal Kafle, Ritwik Sinha, Garrison W. Cottrell

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Generating Furry Cars: Disentangling Object Shape & Appearance across Multiple Domains.

Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee

CoRR, 2021

Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains.

Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee

Proceedings of the 9th International Conference on Learning Representations, 2021

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

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

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 2021 IEEE/CVF International Conference on Computer Vision, 2021

IMAGINE: Image Synthesis by Image-Guided Model Inversion.

Pei Wang, Yijun Li, Krishna Kumar Singh, Jingwan Lu, Nuno Vasconcelos

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

PartGAN: Unsupervised Part Decomposition for Image Generation and Segmentation.

Yuheng Li, Krishna Kumar Singh, Yang Xue, Yong Jae Lee

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Dance In the Wild: Monocular Human Animation with Neural Dynamic Appearance Synthesis.

Tuanfeng Y. Wang, Duygu Ceylan, Krishna Kumar Singh, Niloy J. Mitra

Proceedings of the International Conference on 3D Vision, 2021

2020

Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data.

Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation.

Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Imbalanced Data.

Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee

CoRR, 2019

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery.

Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection.

Krishna Kumar Singh, Yong Jae Lee

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

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

CoRR, 2018

Transferring Common-Sense Knowledge for Object Detection.

Krishna Kumar Singh, Santosh Kumar Divvala, Ali Farhadi, Yong Jae Lee

CoRR, 2018

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

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

DOCK: Detecting Objects by Transferring Common-Sense Knowledge.

Krishna Kumar Singh, Santosh Kumar Divvala, Ali Farhadi, Yong Jae Lee

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Correlation Scaled Principal Component Regression.

Krishna Kumar Singh, Amit Patel, Chiranjeevi Sadu

Proceedings of the Intelligent Systems Design and Applications, 2017

Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-Supervised Object and Action Localization.

Krishna Kumar Singh, Yong Jae Lee

Proceedings of the IEEE International Conference on Computer Vision, 2017

Identifying First-Person Camera Wearers in Third-Person Videos.

Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David J. Crandall, Michael S. Ryoo

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

KrishnaCam: Using a longitudinal, single-person, egocentric dataset for scene understanding tasks.

Krishna Kumar Singh, Kayvon Fatahalian, Alexei A. Efros

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

End-to-End Localization and Ranking for Relative Attributes.

Krishna Kumar Singh, Yong Jae Lee

Proceedings of the Computer Vision - ECCV 2016, 2016

Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection.

Krishna Kumar Singh, Fanyi Xiao, Yong Jae Lee

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2014

A Newton-like method for generalized operator equations in Banach spaces.

Daya Ram Sahu, Krishna Kumar Singh, Vipin Kumar Singh

Numer. Algorithms, 2014

2013

CPU and/or GPU: Revisiting the GPU Vs. CPU Myth

Kishore Kothapalli, Dip Sankar Banerjee, P. J. Narayanan, Surinder Sood, Aman Kumar Bahl, Shashank Sharma, Shrenik Lad, Krishna Kumar Singh, Kiran Kumar Matam, Sivaramakrishna Bharadwaj, Rohit Nigam, Parikshit Sakurikar, Aditya Deshpande, Ishan Misra, Siddharth Choudhary, Shubham Gupta

CoRR, 2013

2012

Geometry directed browser for personal photographs.

Aditya Deshpande, Siddharth Choudhary, P. J. Narayanan, Krishna Kumar Singh, Kaustav Kundu, Aditya Singh, Apurva Kumar

Proceedings of the Eighth Indian Conference on Vision, Graphics and Image Processing, 2012

2011

Genetic Algorithms-based Optimization of Cable Stayed Bridges.

Venkat Lute, Akhil Upadhyay, Krishna Kumar Singh

J. Softw. Eng. Appl., 2011

2009

Computationally efficient analysis of cable-stayed bridge for GA-based optimization.

Venkat Lute, Akhil Upadhyay, Krishna Kumar Singh

Eng. Appl. Artif. Intell., 2009

Support vector machine based aerodynamic analysis of cable stayed bridges.

Venkat Lute, Akhil Upadhyay, Krishna Kumar Singh

Adv. Eng. Softw., 2009