Krishna Kumar Singh

109 papers A* 25A 8C 1Journal 60Unranked 15
YearRankTypeTitle / Venue / Authors
2026 A* conf
Beyond Simple Edits: X-Planner for Complex Instruction-Based Image Editing.
AAAI
Chun-Hsiao Yeh, Yilin Wang, Nanxuan Zhao, Richard Zhang, Yuheng Li, Yi Ma, Krishna Kumar Singh
2026 J jnl
InfinityStory: Unlimited Video Generation with World Consistency and Character-Aware Shot Transitions.
CoRR
Mohamed Elmoghany, Liangbing Zhao, Xiaoqian Shen, Subhojyoti Mukherjee, Yang Zhou, Gang Wu, Viet Dac Lai, Seunghyun Yoon, Ryan Rossi, Abdullah Rashwan, Puneet Mathur, Varun Manjunatha, Daksh Dangi, Chien Nguyen, Nedim Lipka, Trung Bui, Krishna Kumar Singh, Ruiyi Zhang, Xiaolei Huang, Jaemin Cho, Yu Wang, Namyong Park, Zhengzhong Tu, Hongjie Chen, Hoda Eldardiry, Nesreen K. Ahmed, Thien Huu Nguyen, Dinesh Manocha, Mohamed Elhoseiny, Franck Dernoncourt
2026 J jnl
Mitigating bias in Few Shot Class Incremental Learning with Feature Augmentation and Logits Mix-up.
J. Vis. Commun. Image Represent.
Krishna Kumar Singh, K. Hima Bindu
2026 J jnl
Stepwise Credit Assignment for GRPO on Flow-Matching Models.
CoRR
Yash Savani, Branislav Kveton, Yuchen Liu, Yilin Wang, Jing Shi, Subhojyoti Mukherjee, Nikos Vlassis, Krishna Kumar Singh
2025 — conf
3D-Fixup: Advancing Photo Editing with 3D Priors.
SIGGRAPH (Conference Paper Track)
Yen-Chi Cheng, Krishna Kumar Singh, Jae Shin Yoon, Alexander G. Schwing, Liang-Yan Gui, Matheus Gadelha, Paul Guerrero, Nanxuan Zhao
2025 J jnl
3D-Fixup: Advancing Photo Editing with 3D Priors.
CoRR
Yen-Chi Cheng, Krishna Kumar Singh, Jae Shin Yoon, Alexander G. Schwing, Liangyan Gui, Matheus Gadelha, Paul Guerrero, Nanxuan Zhao
2025 J jnl
Beyond Simple Edits: X-Planner for Complex Instruction-Based Image Editing.
CoRR
Chun-Hsiao Yeh, Yilin Wang, Nanxuan Zhao, Richard Zhang, Yuheng Li, Yi Ma, Krishna Kumar Singh
2025 J jnl
Can3Tok: Canonical 3D Tokenization and Latent Modeling of Scene-Level 3D Gaussians.
CoRR
Quankai Gao, Iliyan Georgiev, Tuanfeng Y. Wang, Krishna Kumar Singh, Ulrich Neumann, Jae Shin Yoon
2025 A* conf
Comprehensive Relighting: Generalizable and Consistent Monocular Human Relighting and Harmonization.
CVPR
Junying Wang, Jingyuan Liu, Xin Sun, Krishna Kumar Singh, Zhixin Shu, He Zhang, Jimei Yang, Nanxuan Zhao, Tuanfeng Y. Wang, Simon S. Chen, Ulrich Neumann, Jae Shin Yoon
2025 J jnl
Comprehensive Relighting: Generalizable and Consistent Monocular Human Relighting and Harmonization.
CoRR
Junying Wang, Jingyuan Liu, Xin Sun, Krishna Kumar Singh, Zhixin Shu, He Zhang, Jimei Yang, Nanxuan Zhao, Tuanfeng Y. Wang, Simon S. Chen, Ulrich Neumann, Jae Shin Yoon
2025 J jnl
Generating, Fast and Slow: Scalable Parallel Video Generation with Video Interface Networks.
CoRR
Bhishma Dedhia, David Bourgin, Krishna Kumar Singh, Yuheng Li, Yan Kang, Zhan Xu, Niraj K. Jha, Yuchen Liu
2025 J jnl
Group Diffusion: Enhancing Image Generation by Unlocking Cross-Sample Collaboration.
CoRR
Sicheng Mo, Thao Nguyen, Richard Zhang, Nick Kolkin, Siddharth Srinivasan Iyer, Eli Shechtman, Krishna Kumar Singh, Yong Jae Lee, Bolei Zhou, Yuheng Li
2025 J jnl
Harnessing machine learning for academic insight: A study of educational performance in Bhopal, India.
Educ. Inf. Technol.
Vandana Onker, Krishna Kumar Singh, Hemraj Shobharam Lamkuche, Sunil Kumar, Vijay Shankar Sharma, Chiranji Lal Chowdhary, Vijay Kumar
2025 J jnl
Learning an Image Editing Model without Image Editing Pairs.
CoRR
Nupur Kumari, Sheng-Yu Wang, Nanxuan Zhao, Yotam Nitzan, Yuheng Li, Krishna Kumar Singh, Richard Zhang, Eli Shechtman, Jun-Yan Zhu, Xun Huang
2025 J jnl
MultiCOIN: Multi-Modal COntrollable Video INbetweening.
CoRR
Maham Tanveer, Yang Zhou, Simon Niklaus, Ali Mahdavi Amiri, Hao Zhang, Krishna Kumar Singh, Nanxuan Zhao
2025 J jnl
Relational Visual Similarity.
CoRR
Thao Nguyen, Sicheng Mo, Krishna Kumar Singh, Yilin Wang, Jing Shi, Nicholas I. Kolkin, Eli Shechtman, Yong Jae Lee, Yuheng Li
2025 A* conf
ShotAdapter: Text-to-Multi-Shot Video Generation with Diffusion Models.
CVPR
Ozgur Kara, Krishna Kumar Singh, Feng Liu, Duygu Ceylan, James M. Rehg, Tobias Hinz
2025 J jnl
ShotAdapter: Text-to-Multi-Shot Video Generation with Diffusion Models.
CoRR
Ozgur Kara, Krishna Kumar Singh, Feng Liu, Duygu Ceylan, James M. Rehg, Tobias Hinz
2025 A* conf
Text2Relight: Creative Portrait Relighting with Text Guidance.
AAAI
Junuk Cha, Mengwei Ren, Krishna Kumar Singh, He Zhang, Yannick Hold-Geoffroy, Seunghyun Yoon, Hyunjoon Jung, Jae Shin Yoon, Seungryul Baek
2025 J jnl
X-Fusion: Introducing New Modality to Frozen Large Language Models.
CoRR
Sicheng Mo, Thao Nguyen, Xun Huang, Siddharth Srinivasan Iyer, Yijun Li, Yuchen Liu, Abhishek Tandon, Eli Shechtman, Krishna Kumar Singh, Yong Jae Lee, Bolei Zhou, Yuheng Li
2025 A* conf
Yo'Chameleon: Personalized Vision and Language Generation.
CVPR
Thao Nguyen, Krishna Kumar Singh, Jing Shi, Trung Bui, Yong Jae Lee, Yuheng Li
2025 J jnl
YoChameleon: Personalized Vision and Language Generation.
CoRR
Thao Nguyen, Krishna Kumar Singh, Jing Shi, Trung Bui, Yong Jae Lee, Yuheng Li
2024 A* conf
ActAnywhere: Subject-Aware Video Background Generation.
NeurIPS
Boxiao Pan, Zhan Xu, Chun-Hao Paul Huang, Krishna Kumar Singh, Yang Zhou, Leonidas J. Guibas, Jimei Yang
2024 J jnl
ActAnywhere: Subject-Aware Video Background Generation.
CoRR
Boxiao Pan, Zhan Xu, Chun-Hao Paul Huang, Krishna Kumar Singh, Yang Zhou, Leonidas J. Guibas, Jimei Yang
2024 A conf
Consistent Multimodal Generation via A Unified GAN Framework.
WACV
Zhen Zhu, Yijun Li, Weijie Lyu, Krishna Kumar Singh, Zhixin Shu, Sören Pirk, Derek Hoiem
2024 J jnl
Correction to: Impact of ratings of content on OTT platforms and prediction of its success rate.
Multim. Tools Appl.
Krishna Kumar Singh, Jeroz Makhania, Madhumita Mahapatra
2024 J jnl
DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization.
CoRR
Zihan Ding, Chi Jin, Difan Liu, Haitian Zheng, Krishna Kumar Singh, Qiang Zhang, Yan Kang, Zhe Lin, Yuchen Liu
2024 A conf
Discovering and Mitigating Biases in CLIP-based Image Editing.
WACV
Md. Mehrab Tanjim, Krishna Kumar Singh, Kushal Kafle, Ritwik Sinha, Garrison W. Cottrell
2024 — conf
Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods.
ECCV (37)
Wonwoong Cho, Hareesh Ravi, Midhun Harikumar, Vinh Khuc, Krishna Kumar Singh, Jingwan Lu, David I. Inouye, Ajinkya Kale
2024 J jnl
Generative Portrait Shadow Removal.
CoRR
Jae Shin Yoon, Zhixin Shu, Mengwei Ren, Xuaner Zhang, Yannick Hold-Geoffroy, Krishna Kumar Singh, He Zhang
2024 J jnl
Generative Portrait Shadow Removal.
ACM Trans. Graph.
Jae Shin Yoon, Zhixin Shu, Mengwei Ren, Cecilia Zhang, Yannick Hold-Geoffroy, Krishna Kumar Singh, He Zhang
2024 — conf
GroupDiff: Diffusion-Based Group Portrait Editing.
ECCV (34)
Yuming Jiang, Nanxuan Zhao, Qing Liu, Krishna Kumar Singh, Shuai Yang, Chen Change Loy, Ziwei Liu
2024 J jnl
GroupDiff: Diffusion-based Group Portrait Editing.
CoRR
Yuming Jiang, Nanxuan Zhao, Qing Liu, Krishna Kumar Singh, Shuai Yang, Chen Change Loy, Ziwei Liu
2024 J jnl
Impact of ratings of content on OTT platforms and prediction of its success rate.
Multim. Tools Appl.
Krishna Kumar Singh, Jeroz Makhania, Madhumita Mahapatra
2024 J jnl
MotionBridge: Dynamic Video Inbetweening with Flexible Controls.
CoRR
Maham Tanveer, Yang Zhou, Simon Niklaus, Ali Mahdavi-Amiri, Hao Zhang, Krishna Kumar Singh, Nanxuan Zhao
2024 A conf
P2D: Plug and Play Discriminator for accelerating GAN frameworks.
WACV
Min Jin Chong, Krishna Kumar Singh, Yijun Li, Jingwan Lu, David A. Forsyth
2024 — conf
Removing Distributional Discrepancies in Captions Improves Image-Text Alignment.
ECCV (21)
Yuheng Li, Haotian Liu, Mu Cai, Yijun Li, Eli Shechtman, Zhe Lin, Yong Jae Lee, Krishna Kumar Singh
2024 J jnl
Removing Distributional Discrepancies in Captions Improves Image-Text Alignment.
CoRR
Yuheng Li, Haotian Liu, Mu Cai, Yijun Li, Eli Shechtman, Zhe Lin, Yong Jae Lee, Krishna Kumar Singh
2024 — conf
Separate-and-Enhance: Compositional Finetuning for Text-to-Image Diffusion Models.
SIGGRAPH (Conference Paper Track)
Zhipeng Bao, Yijun Li, Krishna Kumar Singh, Yu-Xiong Wang, Martial Hebert
2024 J jnl
Text2Relight: Creative Portrait Relighting with Text Guidance.
CoRR
Junuk Cha, Mengwei Ren, Krishna Kumar Singh, He Zhang, Yannick Hold-Geoffroy, Seunghyun Yoon, Hyunjoon Jung, Jae Shin Yoon, Seungryul Baek
2024 A* conf
UniHuman: A Unified Model For Editing Human Images in the Wild.
CVPR
Nannan Li, Qing Liu, Krishna Kumar Singh, Yilin Wang, Jianming Zhang, Bryan A. Plummer, Zhe Lin
2023 — conf
A Survey of Disease Detection in Cauliflower Using Machine Learning and Deep Learning Techniques.
ICCST
Swapna Tekale, Krishna Kumar Singh
2023 A* conf
Complete 3D Human Reconstruction from a Single Incomplete Image.
CVPR
Junying Wang, Jae Shin Yoon, Tuanfeng Y. Wang, Krishna Kumar Singh, Ulrich Neumann
2023 J jnl
Consistent Multimodal Generation via A Unified GAN Framework.
CoRR
Zhen Zhu, Yijun Li, Weijie Lyu, Krishna Kumar Singh, Zhixin Shu, Sören Pirk, Derek Hoiem
2023 — conf
Modulating Pretrained Diffusion Models for Multimodal Image Synthesis.
SIGGRAPH (Conference Paper Track)
Cusuh Ham, James Hays, Jingwan Lu, Krishna Kumar Singh, Zhifei Zhang, Tobias Hinz
2023 J jnl
Modulating Pretrained Diffusion Models for Multimodal Image Synthesis.
CoRR
Cusuh Ham, James Hays, Jingwan Lu, Krishna Kumar Singh, Zhifei Zhang, Tobias Hinz
2023 J jnl
Psychological Study of Cyber-Bullying Against Adolescent Girls in India Using Twitter.
Int. J. Cyber Behav. Psychol. Learn.
Kavya Sharma, Krishna Kumar Singh
2023 A* conf
Putting People in Their Place: Affordance-Aware Human Insertion into Scenes.
CVPR
Sumith Kulal, Tim Brooks, Alex Aiken, Jiajun Wu, Jimei Yang, Jingwan Lu, Alexei A. Efros, Krishna Kumar Singh
2023 J jnl
Putting People in Their Place: Affordance-Aware Human Insertion into Scenes.
CoRR
Sumith Kulal, Tim Brooks, Alex Aiken, Jiajun Wu, Jimei Yang, Jingwan Lu, Alexei A. Efros, Krishna Kumar Singh
2023 J jnl
Separate-and-Enhance: Compositional Finetuning for Text2Image Diffusion Models.
CoRR
Zhipeng Bao, Yijun Li, Krishna Kumar Singh, Yu-Xiong Wang, Martial Hebert
2023 J jnl
Towards Enhanced Controllability of Diffusion Models.
CoRR
Wonwoong Cho, Hareesh Ravi, Midhun Harikumar, Vinh Khuc, Krishna Kumar Singh, Jingwan Lu, David I. Inouye, Ajinkya Kale
2023 A* conf
UMFuse: Unified Multi View Fusion for Human Editing applications.
ICCV
Rishabh Jain, Mayur Hemani, Duygu Ceylan, Krishna Kumar Singh, Jingwan Lu, Mausoom Sarkar, Balaji Krishnamurthy
2023 J jnl
UniHuman: A Unified Model for Editing Human Images in the Wild.
CoRR
Nannan Li, Qing Liu, Krishna Kumar Singh, Yilin Wang, Jianming Zhang, Bryan A. Plummer, Zhe Lin
2023 A* conf
VGFlow: Visibility guided Flow Network for Human Reposing.
CVPR
Rishabh Jain, Krishna Kumar Singh, Mayur Hemani, Jingwan Lu, Mausoom Sarkar, Duygu Ceylan, Balaji Krishnamurthy
2023 — conf
Zero-shot Image-to-Image Translation.
SIGGRAPH (Conference Paper Track)
Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu
2023 J jnl
Zero-shot Image-to-Image Translation.
CoRR
Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu
2022 — conf
A Lightweight Block Cipher for Cloud-Based Healthcare Systems.
CoCoLe
Hemraj Shobharam Lamkuche, Krishna Kumar Singh, Kaustubh Shirkhedkar
2022 — conf
Contrastive Learning for Diverse Disentangled Foreground Generation.
ECCV (16)
Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh
2022 J jnl
Contrastive Learning for Diverse Disentangled Foreground Generation.
CoRR
Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh
2022 A conf
Debiasing Image-to-Image Translation Models.
BMVC
Md. Mehrab Tanjim, Krishna Kumar Singh, Kushal Kafle, Ritwik Sinha, Garrison W. Cottrell
2022 A* conf
GIRAFFE HD: A High-Resolution 3D-aware Generative Model.
CVPR
Yang Xue, Yuheng Li, Krishna Kumar Singh, Yong Jae Lee
2022 J jnl
GIRAFFE HD: A High-Resolution 3D-aware Generative Model.
CoRR
Yang Xue, Yuheng Li, Krishna Kumar Singh, Yong Jae Lee
2022 A conf
Generating and Controlling Diversity in Image Search.
WACV
Md. Mehrab Tanjim, Ritwik Sinha, Krishna Kumar Singh, Sridhar Mahadevan, David Arbour, Moumita Sinha, Garrison W. Cottrell
2022 A* conf
InsetGAN for Full-Body Image Generation.
CVPR
Anna Frühstück, Krishna Kumar Singh, Eli Shechtman, Niloy J. Mitra, Peter Wonka, Jingwan Lu
2022 J jnl
InsetGAN for Full-Body Image Generation.
CoRR
Anna Frühstück, Krishna Kumar Singh, Eli Shechtman, Niloy J. Mitra, Peter Wonka, Jingwan Lu
2022 A* conf
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing.
CVPR
Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh
2022 J jnl
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing.
CoRR
Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh
2022 J jnl
UMFuse: Unified Multi View Fusion for Human Editing applications.
CoRR
Rishabh Jain, Mayur Hemani, Duygu Ceylan, Krishna Kumar Singh, Jingwan Lu, Mausoom Sarkar, Balaji Krishnamurthy
2022 J jnl
VGFlow: Visibility guided Flow Network for Human Reposing.
CoRR
Rishabh Jain, Krishna Kumar Singh, Mayur Hemani, Jingwan Lu, Mausoom Sarkar, Duygu Ceylan, Balaji Krishnamurthy
2021 A* conf
Collaging Class-specific GANs for Semantic Image Synthesis.
ICCV
Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh
2021 J jnl
Collaging Class-specific GANs for Semantic Image Synthesis.
CoRR
Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh
2021 — conf
Dance In the Wild: Monocular Human Animation with Neural Dynamic Appearance Synthesis.
3DV
Tuanfeng Y. Wang, Duygu Ceylan, Krishna Kumar Singh, Niloy J. Mitra
2021 J jnl
Dance In the Wild: Monocular Human Animation with Neural Dynamic Appearance Synthesis.
CoRR
Tuanfeng Y. Wang, Duygu Ceylan, Krishna Kumar Singh, Niloy J. Mitra
2021 J jnl
Generating Furry Cars: Disentangling Object Shape & Appearance across Multiple Domains.
CoRR
Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee
2021 A* conf
Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains.
ICLR
Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee
2021 A* conf
IMAGINE: Image Synthesis by Image-Guided Model Inversion.
CVPR
Pei Wang, Yijun Li, Krishna Kumar Singh, Jingwan Lu, Nuno Vasconcelos
2021 J jnl
IMAGINE: Image Synthesis by Image-Guided Model Inversion.
CoRR
Pei Wang, Yijun Li, Krishna Kumar Singh, Jingwan Lu, Nuno Vasconcelos
2021 A conf
PartGAN: Unsupervised Part Decomposition for Image Generation and Segmentation.
BMVC
Yuheng Li, Krishna Kumar Singh, Yang Xue, Yong Jae Lee
2021 — conf
Seeing the Unseen: Predicting the First-Person Camera Wearer's Location and Pose in Third-Person Scenes.
ICCVW
Yangming Wen, Krishna Kumar Singh, Markham Anderson, Wei-Pang Jan, Yong Jae Lee
2020 A* conf
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias.
CVPR
Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram
2020 J jnl
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias.
CoRR
Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram
2020 A* conf
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data.
NeurIPS
Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee
2020 A* conf
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation.
CVPR
Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
2019 J jnl
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Imbalanced Data.
CoRR
Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee
2019 A* conf
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery.
CVPR
Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
2019 J jnl
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation.
CoRR
Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
2019 A* conf
You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection.
CVPR
Krishna Kumar Singh, Yong Jae Lee
2018 — conf
DOCK: Detecting Objects by Transferring Common-Sense Knowledge.
ECCV (13)
Krishna Kumar Singh, Santosh Kumar Divvala, Ali Farhadi, Yong Jae Lee
2018 J jnl
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery.
CoRR
Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
2018 J jnl
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond.
CoRR
Krishna Kumar Singh, Hao Yu, Aron Sarmasi, Gautam Pradeep, Yong Jae Lee
2018 J jnl
Transferring Common-Sense Knowledge for Object Detection.
CoRR
Krishna Kumar Singh, Santosh Kumar Divvala, Ali Farhadi, Yong Jae Lee
2018 A conf
Who Will Share My Image?: Predicting the Content Diffusion Path in Online Social Networks.
WSDM
Wenjian Hu, Krishna Kumar Singh, Fanyi Xiao, Jinyoung Han, Chen-Nee Chuah, Yong Jae Lee
2017 C conf
Correlation Scaled Principal Component Regression.
ISDA
Krishna Kumar Singh, Amit Patel, Chiranjeevi Sadu
2017 A* conf
Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-Supervised Object and Action Localization.
ICCV
Krishna Kumar Singh, Yong Jae Lee
2017 J jnl
Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization.
CoRR
Krishna Kumar Singh, Yong Jae Lee
2017 A* conf
Identifying First-Person Camera Wearers in Third-Person Videos.
CVPR
Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David J. Crandall, Michael S. Ryoo
2017 J jnl
Identifying First-person Camera Wearers in Third-person Videos.
CoRR
Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David J. Crandall, Michael S. Ryoo
2017 J jnl
Who Will Share My Image? Predicting the Content Diffusion Path in Online Social Networks.
CoRR
Wenjian Hu, Krishna Kumar Singh, Fanyi Xiao, Jinyoung Han, Chen-Nee Chuah, Yong Jae Lee
2016 — conf
End-to-End Localization and Ranking for Relative Attributes.
ECCV (6)
Krishna Kumar Singh, Yong Jae Lee
2016 J jnl
End-to-End Localization and Ranking for Relative Attributes.
CoRR
Krishna Kumar Singh, Yong Jae Lee
2016 A conf
KrishnaCam: Using a longitudinal, single-person, egocentric dataset for scene understanding tasks.
WACV
Krishna Kumar Singh, Kayvon Fatahalian, Alexei A. Efros
2016 A* conf
Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection.
CVPR
Krishna Kumar Singh, Fanyi Xiao, Yong Jae Lee
2016 J jnl
Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection.
CoRR
Krishna Kumar Singh, Fanyi Xiao, Yong Jae Lee
2014 J jnl
A Newton-like method for generalized operator equations in Banach spaces.
Numer. Algorithms
Daya Ram Sahu, Krishna Kumar Singh, Vipin Kumar Singh
2013 J jnl
CPU and/or GPU: Revisiting the GPU Vs. CPU Myth
CoRR
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
2012 — conf
Geometry directed browser for personal photographs.
ICVGIP
Aditya Deshpande, Siddharth Choudhary, P. J. Narayanan, Krishna Kumar Singh, Kaustav Kundu, Aditya Singh, Apurva Kumar
2011 J jnl
Genetic Algorithms-based Optimization of Cable Stayed Bridges.
J. Softw. Eng. Appl.
Venkat Lute, Akhil Upadhyay, Krishna Kumar Singh
2009 J jnl
Computationally efficient analysis of cable-stayed bridge for GA-based optimization.
Eng. Appl. Artif. Intell.
Venkat Lute, Akhil Upadhyay, Krishna Kumar Singh
2009 J jnl
Support vector machine based aerodynamic analysis of cable stayed bridges.
Adv. Eng. Softw.
Venkat Lute, Akhil Upadhyay, Krishna Kumar Singh