Krishna Kumar Singh

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 67

Top Topics

Image Generation

Object Detection

Diffusion Models

Top Venues

Publications

Boxiao Pan, Zhan Xu, Chun-Hao Paul Huang, Krishna Kumar Singh, Yang Zhou, Leonidas J. Guibas, Jimei Yang
ActAnywhere: Subject-Aware Video Background Generation. CoRR (2024)
Krishna Kumar Singh, Jeroz Makhania, Madhumita Mahapatra
Impact of ratings of content on OTT platforms and prediction of its success rate. Multim. Tools Appl. 83 (2) (2024)
Min Jin Chong, Krishna Kumar Singh, Yijun Li, Jingwan Lu, David A. Forsyth
P2D: Plug and Play Discriminator for accelerating GAN frameworks. WACV (2024)
Md. Mehrab Tanjim, Krishna Kumar Singh, Kushal Kafle, Ritwik Sinha, Garrison W. Cottrell
Discovering and Mitigating Biases in CLIP-based Image Editing. WACV (2024)
Krishna Kumar Singh, Jeroz Makhania, Madhumita Mahapatra
Correction to: Impact of ratings of content on OTT platforms and prediction of its success rate. Multim. Tools Appl. 83 (2) (2024)
Zhipeng Bao, Yijun Li, Krishna Kumar Singh, Yu-Xiong Wang, Martial Hebert
Separate-and-Enhance: Compositional Finetuning for Text-to-Image Diffusion Models. SIGGRAPH (Conference Paper Track) (2024)
Zhen Zhu, Yijun Li, Weijie Lyu, Krishna Kumar Singh, Zhixin Shu, Sören Pirk, Derek Hoiem
Consistent Multimodal Generation via A Unified GAN Framework. WACV (2024)
Cusuh Ham, James Hays, Jingwan Lu, Krishna Kumar Singh, Zhifei Zhang, Tobias Hinz
Modulating Pretrained Diffusion Models for Multimodal Image Synthesis. SIGGRAPH (Conference Paper Track) (2023)
Rishabh Jain, Krishna Kumar Singh, Mayur Hemani, Jingwan Lu, Mausoom Sarkar, Duygu Ceylan, Balaji Krishnamurthy
VGFlow: Visibility guided Flow Network for Human Reposing. CVPR (2023)
Zhen Zhu, Yijun Li, Weijie Lyu, Krishna Kumar Singh, Zhixin Shu, Sören Pirk, Derek Hoiem
Consistent Multimodal Generation via A Unified GAN Framework. CoRR (2023)
Zhipeng Bao, Yijun Li, Krishna Kumar Singh, Yu-Xiong Wang, Martial Hebert
Separate-and-Enhance: Compositional Finetuning for Text2Image Diffusion Models. CoRR (2023)
Cusuh Ham, James Hays, Jingwan Lu, Krishna Kumar Singh, Zhifei Zhang, Tobias Hinz
Modulating Pretrained Diffusion Models for Multimodal Image Synthesis. CoRR (2023)
Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu
Zero-shot Image-to-Image Translation. CoRR (2023)
Junying Wang, Jae Shin Yoon, Tuanfeng Y. Wang, Krishna Kumar Singh, Ulrich Neumann
Complete 3D Human Reconstruction from a Single Incomplete Image. CVPR (2023)
Wonwoong Cho, Hareesh Ravi, Midhun Harikumar, Vinh Khuc, Krishna Kumar Singh, Jingwan Lu, David I. Inouye, Ajinkya Kale
Towards Enhanced Controllability of Diffusion Models. CoRR (2023)
Sumith Kulal, Tim Brooks, Alex Aiken, Jiajun Wu, Jimei Yang, Jingwan Lu, Alexei A. Efros, Krishna Kumar Singh
Putting People in Their Place: Affordance-Aware Human Insertion into Scenes. CVPR (2023)
Rishabh Jain, Mayur Hemani, Duygu Ceylan, Krishna Kumar Singh, Jingwan Lu, Mausoom Sarkar, Balaji Krishnamurthy
UMFuse: Unified Multi View Fusion for Human Editing applications. ICCV (2023)
Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu
Zero-shot Image-to-Image Translation. SIGGRAPH (Conference Paper Track) (2023)
Sumith Kulal, Tim Brooks, Alex Aiken, Jiajun Wu, Jimei Yang, Jingwan Lu, Alexei A. Efros, Krishna Kumar Singh
Putting People in Their Place: Affordance-Aware Human Insertion into Scenes. CoRR (2023)
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 (2023)
Swapna Tekale, Krishna Kumar Singh
A Survey of Disease Detection in Cauliflower Using Machine Learning and Deep Learning Techniques. ICCST (2023)
Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing. CVPR (2022)
Anna Frühstück, Krishna Kumar Singh, Eli Shechtman, Niloy J. Mitra, Peter Wonka, Jingwan Lu
InsetGAN for Full-Body Image Generation. CVPR (2022)
Yang Xue, Yuheng Li, Krishna Kumar Singh, Yong Jae Lee
GIRAFFE HD: A High-Resolution 3D-aware Generative Model. CVPR (2022)
Rishabh Jain, Krishna Kumar Singh, Mayur Hemani, Jingwan Lu, Mausoom Sarkar, Duygu Ceylan, Balaji Krishnamurthy
VGFlow: Visibility guided Flow Network for Human Reposing. CoRR (2022)
Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh
Contrastive Learning for Diverse Disentangled Foreground Generation. ECCV (16) (2022)
Yang Xue, Yuheng Li, Krishna Kumar Singh, Yong Jae Lee
GIRAFFE HD: A High-Resolution 3D-aware Generative Model. CoRR (2022)
Md. Mehrab Tanjim, Ritwik Sinha, Krishna Kumar Singh, Sridhar Mahadevan, David Arbour, Moumita Sinha, Garrison W. Cottrell
Generating and Controlling Diversity in Image Search. WACV (2022)
Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing. CoRR (2022)
Md. Mehrab Tanjim, Krishna Kumar Singh, Kushal Kafle, Ritwik Sinha, Garrison W. Cottrell
Debiasing Image-to-Image Translation Models. BMVC (2022)
Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh
Contrastive Learning for Diverse Disentangled Foreground Generation. CoRR (2022)
Rishabh Jain, Mayur Hemani, Duygu Ceylan, Krishna Kumar Singh, Jingwan Lu, Mausoom Sarkar, Balaji Krishnamurthy
UMFuse: Unified Multi View Fusion for Human Editing applications. CoRR (2022)
Anna Frühstück, Krishna Kumar Singh, Eli Shechtman, Niloy J. Mitra, Peter Wonka, Jingwan Lu
InsetGAN for Full-Body Image Generation. CoRR (2022)
Yuheng Li, Krishna Kumar Singh, Yang Xue, Yong Jae Lee
PartGAN: Unsupervised Part Decomposition for Image Generation and Segmentation. BMVC (2021)
Yangming Wen, Krishna Kumar Singh, Markham Anderson, Wei-Pang Jan, Yong Jae Lee
Seeing the Unseen: Predicting the First-Person Camera Wearer's Location and Pose in Third-Person Scenes. ICCVW (2021)
Tuanfeng Y. Wang, Duygu Ceylan, Krishna Kumar Singh, Niloy J. Mitra
Dance In the Wild: Monocular Human Animation with Neural Dynamic Appearance Synthesis. 3DV (2021)
Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee
Generating Furry Cars: Disentangling Object Shape & Appearance across Multiple Domains. CoRR (2021)
Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee
Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains. ICLR (2021)
Pei Wang, Yijun Li, Krishna Kumar Singh, Jingwan Lu, Nuno Vasconcelos
IMAGINE: Image Synthesis by Image-Guided Model Inversion. CoRR (2021)
Pei Wang, Yijun Li, Krishna Kumar Singh, Jingwan Lu, Nuno Vasconcelos
IMAGINE: Image Synthesis by Image-Guided Model Inversion. CVPR (2021)
Tuanfeng Y. Wang, Duygu Ceylan, Krishna Kumar Singh, Niloy J. Mitra
Dance In the Wild: Monocular Human Animation with Neural Dynamic Appearance Synthesis. CoRR (2021)
Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh
Collaging Class-specific GANs for Semantic Image Synthesis. ICCV (2021)
Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh
Collaging Class-specific GANs for Semantic Image Synthesis. CoRR (2021)
Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data. NeurIPS (2020)
Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. CVPR (2020)
Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation. CVPR (2020)
Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. CoRR (2020)
Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery. CVPR (2019)
Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Imbalanced Data. CoRR (2019)
Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation. CoRR (2019)
Krishna Kumar Singh, Yong Jae Lee
You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection. CVPR (2019)
Krishna Kumar Singh, Santosh Kumar Divvala, Ali Farhadi, Yong Jae Lee
Transferring Common-Sense Knowledge for Object Detection. CoRR (2018)
Krishna Kumar Singh, Santosh Kumar Divvala, Ali Farhadi, Yong Jae Lee
DOCK: Detecting Objects by Transferring Common-Sense Knowledge. ECCV (13) (2018)
Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery. CoRR (2018)
Wenjian Hu, Krishna Kumar Singh, Fanyi Xiao, Jinyoung Han, Chen-Nee Chuah, Yong Jae Lee
Who Will Share My Image?: Predicting the Content Diffusion Path in Online Social Networks. WSDM (2018)
Krishna Kumar Singh, Hao Yu, Aron Sarmasi, Gautam Pradeep, Yong Jae Lee
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond. CoRR (2018)
Wenjian Hu, Krishna Kumar Singh, Fanyi Xiao, Jinyoung Han, Chen-Nee Chuah, Yong Jae Lee
Who Will Share My Image? Predicting the Content Diffusion Path in Online Social Networks. CoRR (2017)
Krishna Kumar Singh, Yong Jae Lee
Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization. CoRR (2017)
Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David J. Crandall, Michael S. Ryoo
Identifying First-Person Camera Wearers in Third-Person Videos. CVPR (2017)
Krishna Kumar Singh, Amit Patel, Chiranjeevi Sadu
Correlation Scaled Principal Component Regression. ISDA (2017)
Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David J. Crandall, Michael S. Ryoo
Identifying First-person Camera Wearers in Third-person Videos. CoRR (2017)
Krishna Kumar Singh, Yong Jae Lee
Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-Supervised Object and Action Localization. ICCV (2017)
Krishna Kumar Singh, Yong Jae Lee
End-to-End Localization and Ranking for Relative Attributes. CoRR (2016)
Krishna Kumar Singh, Fanyi Xiao, Yong Jae Lee
Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection. CVPR (2016)
Krishna Kumar Singh, Yong Jae Lee
End-to-End Localization and Ranking for Relative Attributes. ECCV (6) (2016)
Krishna Kumar Singh, Fanyi Xiao, Yong Jae Lee
Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection. CoRR (2016)
Krishna Kumar Singh, Kayvon Fatahalian, Alexei A. Efros
KrishnaCam: Using a longitudinal, single-person, egocentric dataset for scene understanding tasks. WACV (2016)
Daya Ram Sahu, Krishna Kumar Singh, Vipin Kumar Singh
A Newton-like method for generalized operator equations in Banach spaces. Numer. Algorithms 67 (2) (2014)
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
CPU and/or GPU: Revisiting the GPU Vs. CPU Myth CoRR (2013)
Aditya Deshpande, Siddharth Choudhary, P. J. Narayanan, Krishna Kumar Singh, Kaustav Kundu, Aditya Singh, Apurva Kumar
Geometry directed browser for personal photographs. ICVGIP (2012)
Venkat Lute, Akhil Upadhyay, Krishna Kumar Singh
Genetic Algorithms-based Optimization of Cable Stayed Bridges. J. Softw. Eng. Appl. 4 (10) (2011)
Venkat Lute, Akhil Upadhyay, Krishna Kumar Singh
Computationally efficient analysis of cable-stayed bridge for GA-based optimization. Eng. Appl. Artif. Intell. 22 (4-5) (2009)
Venkat Lute, Akhil Upadhyay, Krishna Kumar Singh
Support vector machine based aerodynamic analysis of cable stayed bridges. Adv. Eng. Softw. 40 (9) (2009)