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ORCIDKrishna Kumar Singh
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2020 – today
- 2024
[j8]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): 4791-4808 (2024)- [j7]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): 4809 (2024) - [j6]Jae Shin Yoon, Zhixin Shu, Mengwei Ren, Cecilia Zhang, Yannick Hold-Geoffroy, Krishna Kumar Singh, He Zhang:
Generative Portrait Shadow Removal. ACM Trans. Graph. 43(6): 201:1-201:13 (2024) - [c41]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 - [c40]Yuming Jiang, Nanxuan Zhao, Qing Liu, Krishna Kumar Singh, Shuai Yang, Chen Change Loy, Ziwei Liu:
GroupDiff: Diffusion-Based Group Portrait Editing. ECCV (34) 2024: 221-239 - [c39]Wonwoong Cho, Hareesh Ravi, Midhun Harikumar, Vinh Khuc, Krishna Kumar Singh, Jingwan Lu, David I. Inouye, Ajinkya Kale:
Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods. ECCV (37) 2024: 285-301 - [c38]Yuheng Li, Haotian Liu, Mu Cai, Yijun Li, Eli Shechtman, Zhe Lin, Yong Jae Lee, Krishna Kumar Singh:
Removing Distributional Discrepancies in Captions Improves Image-Text Alignment. ECCV (21) 2024: 405-422 - [c37]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: 103 - [c36]Md. Mehrab Tanjim, Krishna Kumar Singh, Kushal Kafle, Ritwik Sinha, Garrison W. Cottrell:
Discovering and Mitigating Biases in CLIP-based Image Editing. WACV 2024: 2972-2981 - [c35]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: 5036-5045 - [c34]Min Jin Chong, Krishna Kumar Singh, Yijun Li, Jingwan Lu, David A. Forsyth:
P2D: Plug and Play Discriminator for accelerating GAN frameworks. WACV 2024: 5410-5419 - [i33]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 abs/2401.10822 (2024) - [i32]Yuming Jiang, Nanxuan Zhao, Qing Liu, Krishna Kumar Singh, Shuai Yang, Chen Change Loy, Ziwei Liu:
GroupDiff: Diffusion-based Group Portrait Editing. CoRR abs/2409.14379 (2024) - [i31]Yuheng Li, Haotian Liu, Mu Cai, Yijun Li, Eli Shechtman, Zhe Lin, Yong Jae Lee, Krishna Kumar Singh:
Removing Distributional Discrepancies in Captions Improves Image-Text Alignment. CoRR abs/2410.00905 (2024) - [i30]Jae Shin Yoon, Zhixin Shu, Mengwei Ren, Xuaner Zhang, Yannick Hold-Geoffroy, Krishna Kumar Singh, He Zhang:
Generative Portrait Shadow Removal. CoRR abs/2410.05525 (2024) - 2023
- [j5]Kavya Sharma, Krishna Kumar Singh:
Psychological Study of Cyber-Bullying Against Adolescent Girls in India Using Twitter. Int. J. Cyber Behav. Psychol. Learn. 13(1): 1-22 (2023) - [c33]Junying Wang, Jae Shin Yoon, Tuanfeng Y. Wang, Krishna Kumar Singh, Ulrich Neumann:
Complete 3D Human Reconstruction from a Single Incomplete Image. CVPR 2023: 8748-8758 - [c32]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: 17089-17099 - [c31]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: 21088-21097 - [c30]Swapna Tekale, Krishna Kumar Singh:
A Survey of Disease Detection in Cauliflower Using Machine Learning and Deep Learning Techniques. ICCST 2023: 1-6 - [c29]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: 7148-7157 - [c28]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: 11:1-11:11 - [c27]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: 35:1-35:11 - [i29]Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu:
Zero-shot Image-to-Image Translation. CoRR abs/2302.03027 (2023) - [i28]Cusuh Ham, James Hays, Jingwan Lu, Krishna Kumar Singh, Zhifei Zhang, Tobias Hinz:
Modulating Pretrained Diffusion Models for Multimodal Image Synthesis. CoRR abs/2302.12764 (2023) - [i27]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 abs/2302.14368 (2023) - [i26]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 abs/2304.14406 (2023) - [i25]Zhen Zhu, Yijun Li, Weijie Lyu, Krishna Kumar Singh, Zhixin Shu, Sören Pirk, Derek Hoiem:
Consistent Multimodal Generation via A Unified GAN Framework. CoRR abs/2307.01425 (2023) - [i24]Zhipeng Bao, Yijun Li, Krishna Kumar Singh, Yu-Xiong Wang, Martial Hebert:
Separate-and-Enhance: Compositional Finetuning for Text2Image Diffusion Models. CoRR abs/2312.06712 (2023) - [i23]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
- [c26]Md. Mehrab Tanjim, Krishna Kumar Singh, Kushal Kafle, Ritwik Sinha, Garrison W. Cottrell:
Debiasing Image-to-Image Translation Models. BMVC 2022: 182 - [c25]Anna Frühstück, Krishna Kumar Singh, Eli Shechtman, Niloy J. Mitra, Peter Wonka, Jingwan Lu:
InsetGAN for Full-Body Image Generation. CVPR 2022: 7713-7722 - [c24]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: 11389-11399 - [c23]Yang Xue, Yuheng Li, Krishna Kumar Singh, Yong Jae Lee:
GIRAFFE HD: A High-Resolution 3D-aware Generative Model. CVPR 2022: 18419-18428 - [c22]Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh:
Contrastive Learning for Diverse Disentangled Foreground Generation. ECCV (16) 2022: 334-351 - [c21]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: 3908-3916 - [i22]Anna Frühstück, Krishna Kumar Singh, Eli Shechtman, Niloy J. Mitra, Peter Wonka, Jingwan Lu:
InsetGAN for Full-Body Image Generation. CoRR abs/2203.07293 (2022) - [i21]Yang Xue, Yuheng Li, Krishna Kumar Singh, Yong Jae Lee:
GIRAFFE HD: A High-Resolution 3D-aware Generative Model. CoRR abs/2203.14954 (2022) - [i20]Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh:
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing. CoRR abs/2206.08357 (2022) - [i19]Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh:
Contrastive Learning for Diverse Disentangled Foreground Generation. CoRR abs/2211.02707 (2022) - [i18]Rishabh Jain, Krishna Kumar Singh, Mayur Hemani, Jingwan Lu, Mausoom Sarkar, Duygu Ceylan, Balaji Krishnamurthy:
VGFlow: Visibility guided Flow Network for Human Reposing. CoRR abs/2211.08540 (2022) - [i17]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 abs/2211.10157 (2022) - 2021
- [c20]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: 268-277 - [c19]Yuheng Li, Krishna Kumar Singh, Yang Xue, Yong Jae Lee:
PartGAN: Unsupervised Part Decomposition for Image Generation and Segmentation. BMVC 2021: 338 - [c18]Pei Wang, Yijun Li, Krishna Kumar Singh, Jingwan Lu, Nuno Vasconcelos:
IMAGINE: Image Synthesis by Image-Guided Model Inversion. CVPR 2021: 3681-3690 - [c17]Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh:
Collaging Class-specific GANs for Semantic Image Synthesis. ICCV 2021: 14398-14407 - [c16]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: 3439-3448 - [c15]Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee:
Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains. ICLR 2021 - [i16]Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee:
Generating Furry Cars: Disentangling Object Shape & Appearance across Multiple Domains. CoRR abs/2104.02052 (2021) - [i15]Pei Wang, Yijun Li, Krishna Kumar Singh, Jingwan Lu, Nuno Vasconcelos:
IMAGINE: Image Synthesis by Image-Guided Model Inversion. CoRR abs/2104.05895 (2021) - [i14]Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh:
Collaging Class-specific GANs for Semantic Image Synthesis. CoRR abs/2110.04281 (2021) - [i13]Tuanfeng Y. Wang, Duygu Ceylan, Krishna Kumar Singh, Niloy J. Mitra:
Dance In the Wild: Monocular Human Animation with Neural Dynamic Appearance Synthesis. CoRR abs/2111.05916 (2021) - 2020
- [c14]Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee:
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation. CVPR 2020: 8036-8045 - [c13]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: 11067-11075 - [c12]Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee:
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data. NeurIPS 2020 - [i12]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 abs/2001.03152 (2020)
2010 – 2019
- 2019
- [c11]Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee:
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery. CVPR 2019: 6490-6499 - [c10]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: 9414-9422 - [i11]Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee:
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Imbalanced Data. CoRR abs/1910.01112 (2019) - [i10]Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee:
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation. CoRR abs/1911.11758 (2019) - 2018
- [c9]Krishna Kumar Singh, Santosh Kumar Divvala, Ali Farhadi, Yong Jae Lee:
DOCK: Detecting Objects by Transferring Common-Sense Knowledge. ECCV (13) 2018: 506-522 - [c8]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: 252-260 - [i9]Krishna Kumar Singh, Santosh Kumar Divvala, Ali Farhadi, Yong Jae Lee:
Transferring Common-Sense Knowledge for Object Detection. CoRR abs/1804.01077 (2018) - [i8]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 abs/1811.02545 (2018) - [i7]Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee:
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery. CoRR abs/1811.11155 (2018) - 2017
- [c7]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: 4734-4742 - [c6]Krishna Kumar Singh, Yong Jae Lee:
Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-Supervised Object and Action Localization. ICCV 2017: 3544-3553 - [c5]Krishna Kumar Singh, Amit Patel, Chiranjeevi Sadu:
Correlation Scaled Principal Component Regression. ISDA 2017: 350-356 - [i6]Krishna Kumar Singh, Yong Jae Lee:
Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization. CoRR abs/1704.04232 (2017) - [i5]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 abs/1704.06340 (2017) - [i4]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 abs/1705.09275 (2017) - 2016
- [c4]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: 3548-3556 - [c3]Krishna Kumar Singh, Yong Jae Lee:
End-to-End Localization and Ranking for Relative Attributes. ECCV (6) 2016: 753-769 - [c2]Krishna Kumar Singh, Kayvon Fatahalian, Alexei A. Efros:
KrishnaCam: Using a longitudinal, single-person, egocentric dataset for scene understanding tasks. WACV 2016: 1-9 - [i3]Krishna Kumar Singh, Fanyi Xiao, Yong Jae Lee:
Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection. CoRR abs/1604.05766 (2016) - [i2]Krishna Kumar Singh, Yong Jae Lee:
End-to-End Localization and Ranking for Relative Attributes. CoRR abs/1608.02676 (2016) - 2014
- [j4]Daya Ram Sahu, Krishna Kumar Singh, Vipin Kumar Singh:
A Newton-like method for generalized operator equations in Banach spaces. Numer. Algorithms 67(2): 289-303 (2014) - 2013
- [i1]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 abs/1303.2171 (2013) - 2012
- [c1]Aditya Deshpande, Siddharth Choudhary, P. J. Narayanan, Krishna Kumar Singh, Kaustav Kundu, Aditya Singh, Apurva Kumar:
Geometry directed browser for personal photographs. ICVGIP 2012: 2 - 2011
- [j3]Venkat Lute, Akhil Upadhyay, Krishna Kumar Singh:
Genetic Algorithms-based Optimization of Cable Stayed Bridges. J. Softw. Eng. Appl. 4(10): 571-578 (2011)
2000 – 2009
- 2009
- [j2]Venkat Lute, Akhil Upadhyay, Krishna Kumar Singh:
Support vector machine based aerodynamic analysis of cable stayed bridges. Adv. Eng. Softw. 40(9): 830-835 (2009) - [j1]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): 750-758 (2009)
Coauthor Index
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