Support vector machine based aerodynamic analysis of cable stayed bridges. - Venkat Lute; Akhil Upadhyay; Krishna Kumar Singh (Adv. Eng. Softw., 2009)

Computationally efficient analysis of cable-stayed bridge for GA-based optimization. - Venkat Lute; Akhil Upadhyay; Krishna Kumar Singh (Eng. Appl. Artif. Intell., 2009)

Genetic Algorithms-based Optimization of Cable Stayed Bridges. - Venkat Lute; Akhil Upadhyay; Krishna Kumar Singh (J. Softw. Eng. Appl., 2011)

Geometry directed browser for personal photographs. - Aditya Deshpande; Siddharth Choudhary; P. J. Narayanan; Krishna Kumar Singh; Kaustav Kundu; Aditya Singh; Apurva Kumar (ICVGIP, 2012)

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; et al. (CoRR, 2013)

A Newton-like method for generalized operator equations in Banach spaces. - Daya Ram Sahu; Krishna Kumar Singh; Vipin Kumar Singh 001 (Numer. Algorithms, 2014)

Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection. - Krishna Kumar Singh; Fanyi Xiao; Yong Jae Lee (CVPR, 2016)

End-to-End Localization and Ranking for Relative Attributes. - Krishna Kumar Singh; Yong Jae Lee (ECCV (6), 2016)

KrishnaCam: Using a longitudinal, single-person, egocentric dataset for scene understanding tasks. - Krishna Kumar Singh; Kayvon Fatahalian; Alexei A. Efros (WACV, 2016)

Identifying First-Person Camera Wearers in Third-Person Videos. - Chenyou Fan; Jangwon Lee 002; Mingze Xu; Krishna Kumar Singh; Yong Jae Lee; David J. Crandall; Michael S. Ryoo (CVPR, 2017)

Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-Supervised Object and Action Localization. - Krishna Kumar Singh; Yong Jae Lee (ICCV, 2017)

Correlation Scaled Principal Component Regression. - Krishna Kumar Singh; Amit Patel; Chiranjeevi Sadu (ISDA, 2017)

DOCK: Detecting Objects by Transferring Common-Sense Knowledge. - Krishna Kumar Singh; Santosh Kumar Divvala; Ali Farhadi; Yong Jae Lee (ECCV (13), 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 (WSDM, 2018)

Transferring Common-Sense Knowledge for Object Detection. - Krishna Kumar Singh; Santosh Kumar Divvala; Ali Farhadi; Yong Jae Lee (CoRR, 2018)

Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond. - Krishna Kumar Singh; Hao Yu 014; Aron Sarmasi; Gautam Pradeep; Yong Jae Lee (CoRR, 2018)

You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection. - Krishna Kumar Singh; Yong Jae Lee (CVPR, 2019)

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery. - Krishna Kumar Singh; Utkarsh Ojha; Yong Jae Lee (CVPR, 2019)

Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Imbalanced Data. - Utkarsh Ojha; Krishna Kumar Singh; Cho-Jui Hsieh; Yong Jae Lee (CoRR, 2019)

MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation. - Yuheng Li; Krishna Kumar Singh; Utkarsh Ojha; Yong Jae Lee (CVPR, 2020)

Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. - Krishna Kumar Singh; Dhruv Mahajan 001; Kristen Grauman; Yong Jae Lee; Matt Feiszli; Deepti Ghadiyaram (CVPR, 2020)

Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data. - Utkarsh Ojha; Krishna Kumar Singh; Cho-Jui Hsieh; Yong Jae Lee (NeurIPS, 2020)

Dance In the Wild: Monocular Human Animation with Neural Dynamic Appearance Synthesis. - Tuanfeng Y. Wang; Duygu Ceylan; Krishna Kumar Singh; Niloy J. Mitra (3DV, 2021)

PartGAN: Unsupervised Part Decomposition for Image Generation and Segmentation. - Yuheng Li; Krishna Kumar Singh; Yang Xue; Yong Jae Lee (BMVC, 2021)

IMAGINE: Image Synthesis by Image-Guided Model Inversion. - Pei Wang; Yijun Li 001; Krishna Kumar Singh; Jingwan Lu; Nuno Vasconcelos (CVPR, 2021)

Collaging Class-specific GANs for Semantic Image Synthesis. - Yuheng Li; Yijun Li 001; Jingwan Lu; Eli Shechtman; Yong Jae Lee; Krishna Kumar Singh (ICCV, 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 (ICCVW, 2021)

Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains. - Utkarsh Ojha; Krishna Kumar Singh; Yong Jae Lee (ICLR, 2021)

Generating Furry Cars: Disentangling Object Shape & Appearance across Multiple Domains. - Utkarsh Ojha; Krishna Kumar Singh; Yong Jae Lee (CoRR, 2021)

Debiasing Image-to-Image Translation Models. - Md. Mehrab Tanjim; Krishna Kumar Singh; Kushal Kafle; Ritwik Sinha; Garrison W. Cottrell (BMVC, 2022)

A Lightweight Block Cipher for Cloud-Based Healthcare Systems. - Hemraj Shobharam Lamkuche; Krishna Kumar Singh; Kaustubh Shirkhedkar (CoCoLe, 2022)

InsetGAN for Full-Body Image Generation. - Anna Frühstück; Krishna Kumar Singh; Eli Shechtman; Niloy J. Mitra; Peter Wonka; Jingwan Lu (CVPR, 2022)

Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing. - Gaurav Parmar; Yijun Li 001; Jingwan Lu; Richard Zhang 001; Jun-Yan Zhu; Krishna Kumar Singh (CVPR, 2022)

GIRAFFE HD: A High-Resolution 3D-aware Generative Model. - Yang Xue; Yuheng Li; Krishna Kumar Singh; Yong Jae Lee (CVPR, 2022)

Contrastive Learning for Diverse Disentangled Foreground Generation. - Yuheng Li; Yijun Li 001; Jingwan Lu; Eli Shechtman; Yong Jae Lee; Krishna Kumar Singh (ECCV (16), 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 (WACV, 2022)

VGFlow: Visibility guided Flow Network for Human Reposing. - Rishabh Jain; Krishna Kumar Singh; Mayur Hemani; Jingwan Lu; Mausoom Sarkar; Duygu Ceylan; Balaji Krishnamurthy (CVPR, 2023)

Putting People in Their Place: Affordance-Aware Human Insertion into Scenes. - Sumith Kulal; Tim Brooks; Alex Aiken; Jiajun Wu 001; Jimei Yang; Jingwan Lu; Alexei A. Efros; Krishna Kumar Singh (CVPR, 2023)

Complete 3D Human Reconstruction from a Single Incomplete Image. - Junying Wang; Jae Shin Yoon; Tuanfeng Y. Wang; Krishna Kumar Singh; Ulrich Neumann (CVPR, 2023)

A Survey of Disease Detection in Cauliflower Using Machine Learning and Deep Learning Techniques. - Swapna Tekale; Krishna Kumar Singh (ICCST, 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 (ICCV, 2023)

Modulating Pretrained Diffusion Models for Multimodal Image Synthesis. - Cusuh Ham; James Hays; Jingwan Lu; Krishna Kumar Singh; Zhifei Zhang; Tobias Hinz (SIGGRAPH (Conference Paper Track), 2023)

Zero-shot Image-to-Image Translation. - Gaurav Parmar; Krishna Kumar Singh; Richard Zhang 001; Yijun Li 001; Jingwan Lu; Jun-Yan Zhu (SIGGRAPH (Conference Paper Track), 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)

Separate-and-Enhance: Compositional Finetuning for Text2Image Diffusion Models. - Zhipeng Bao; Yijun Li 001; Krishna Kumar Singh; Yu-Xiong Wang; Martial Hebert (CoRR, 2023)

Psychological Study of Cyber-Bullying Against Adolescent Girls in India Using Twitter. - Kavya Sharma; Krishna Kumar Singh (Int. J. Cyber Behav. Psychol. Learn., 2023)

UniHuman: A Unified Model For Editing Human Images in the Wild. - Nannan Li 004; Qing Liu 017; Krishna Kumar Singh; Yilin Wang 002; Jianming Zhang 001; Bryan A. Plummer; Zhe Lin 001 (CVPR, 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 (ECCV (37), 2024)

GroupDiff: Diffusion-Based Group Portrait Editing. - Yuming Jiang 003; Nanxuan Zhao; Qing Liu 017; Krishna Kumar Singh; Shuai Yang 001; Chen Change Loy; Ziwei Liu 002 (ECCV (34), 2024)

Removing Distributional Discrepancies in Captions Improves Image-Text Alignment. - Yuheng Li; Haotian Liu; Mu Cai; Yijun Li 001; Eli Shechtman; Zhe Lin 001; Yong Jae Lee; Krishna Kumar Singh (ECCV (21), 2024)

ActAnywhere: Subject-Aware Video Background Generation. - Boxiao Pan; Zhan Xu; Chun-Hao Paul Huang; Krishna Kumar Singh; Yang Zhou 009; Leonidas J. Guibas; Jimei Yang (NeurIPS, 2024)

Separate-and-Enhance: Compositional Finetuning for Text-to-Image Diffusion Models. - Zhipeng Bao; Yijun Li 001; Krishna Kumar Singh; Yu-Xiong Wang; Martial Hebert (SIGGRAPH (Conference Paper Track), 2024)

P2D: Plug and Play Discriminator for accelerating GAN frameworks. - Min Jin Chong; Krishna Kumar Singh; Yijun Li 001; Jingwan Lu; David A. Forsyth (WACV, 2024)

Discovering and Mitigating Biases in CLIP-based Image Editing. - Md. Mehrab Tanjim; Krishna Kumar Singh; Kushal Kafle; Ritwik Sinha; Garrison W. Cottrell (WACV, 2024)

Consistent Multimodal Generation via A Unified GAN Framework. - Zhen Zhu 006; Yijun Li 001; Weijie Lyu; Krishna Kumar Singh; Zhixin Shu; Sören Pirk; Derek Hoiem (WACV, 2024)

Generative Portrait Shadow Removal. - Jae Shin Yoon; Zhixin Shu; Mengwei Ren; Xuaner Zhang; Yannick Hold-Geoffroy; Krishna Kumar Singh; He Zhang 004 (CoRR, 2024)

MotionBridge: Dynamic Video Inbetweening with Flexible Controls. - Maham Tanveer; Yang Zhou 007; Simon Niklaus; Ali Mahdavi-Amiri; Hao Zhang 002; Krishna Kumar Singh; Nanxuan Zhao (CoRR, 2024)

DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization. - Zihan Ding; Chi Jin; Difan Liu; Haitian Zheng; Krishna Kumar Singh; Qiang Zhang; Yan Kang; Zhe Lin; Yuchen Liu (CoRR, 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., 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., 2024)

Generative Portrait Shadow Removal. - Jae Shin Yoon; Zhixin Shu; Mengwei Ren; Cecilia Zhang; Yannick Hold-Geoffroy; Krishna Kumar Singh; He Zhang 004 (ACM Trans. Graph., 2024)

Text2Relight: Creative Portrait Relighting with Text Guidance. - Junuk Cha; Mengwei Ren; Krishna Kumar Singh; He Zhang 004; Yannick Hold-Geoffroy; Seunghyun Yoon; Hyunjoon Jung; Jae Shin Yoon; Seungryul Baek (AAAI, 2025)

ShotAdapter: Text-to-Multi-Shot Video Generation with Diffusion Models. - Ozgur Kara; Krishna Kumar Singh; Feng Liu; Duygu Ceylan; James M. Rehg; Tobias Hinz (CVPR, 2025)

Yo'Chameleon: Personalized Vision and Language Generation. - Thao Nguyen; Krishna Kumar Singh; Jing Shi; Trung Bui; Yong Jae Lee; Yuheng Li (CVPR, 2025)

Comprehensive Relighting: Generalizable and Consistent Monocular Human Relighting and Harmonization. - Junying Wang; Jingyuan Liu; Xin Sun 014; Krishna Kumar Singh; Zhixin Shu; He Zhang 004; Jimei Yang; Nanxuan Zhao; Tuanfeng Y. Wang; Simon S. Chen; Ulrich Neumann; Jae Shin Yoon (CVPR, 2025)

Generating, Fast and Slow: Scalable Parallel Video Generation with Video Interface Networks. - Bhishma Dedhia; David Bourgin; Krishna Kumar Singh; Yuheng Li; Yan Kang; Zhan Xu; Niraj K. Jha; Yuchen Liu (CoRR, 2025)

X-Fusion: Introducing New Modality to Frozen Large Language Models. - Sicheng Mo; Thao Nguyen; Xun Huang; Siddharth Srinivasan Iyer; Yijun Li 001; Yuchen Liu 002; Abhishek Tandon; Eli Shechtman; Krishna Kumar Singh; Yong Jae Lee; Bolei Zhou; Yuheng Li (CoRR, 2025)

YoChameleon: Personalized Vision and Language Generation. - Thao Nguyen; Krishna Kumar Singh; Jing Shi; Trung Bui; Yong Jae Lee; Yuheng Li (CoRR, 2025)

3D-Fixup: Advancing Photo Editing with 3D Priors. - Yen-Chi Cheng; Krishna Kumar Singh; Jae Shin Yoon; Alexander G. Schwing; Liangyan Gui; Matheus Gadelha; Paul Guerrero 001; Nanxuan Zhao (CoRR, 2025)

Harnessing machine learning for academic insight: A study of educational performance in Bhopal, India. - Vandana Onker; Krishna Kumar Singh; Hemraj Shobharam Lamkuche; Sunil Kumar; Vijay Shankar Sharma; Chiranji Lal Chowdhary; Vijay Kumar (Educ. Inf. Technol., 2025)

Beyond Simple Edits: X-Planner for Complex Instruction-Based Image Editing. - Chun-Hsiao Yeh; Yilin Wang 002; Nanxuan Zhao; Richard Zhang 002; Yuheng Li; Yi Ma; Krishna Kumar Singh (CoRR, 2025)

Can3Tok: Canonical 3D Tokenization and Latent Modeling of Scene-Level 3D Gaussians. - Quankai Gao; Iliyan Georgiev; Tuanfeng Y. Wang; Krishna Kumar Singh; Ulrich Neumann; Jae Shin Yoon (CoRR, 2025)