Krishna Kumar Singh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
47
Venues
10
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
47 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Beyond Simple Edits: X-Planner for Complex Instruction-Based Image Editing. | Chun-Hsiao Yeh, Yilin Wang, Nanxuan Zhao, Richard Zhang, Yuheng Li, Yi Ma, Krishna Kumar Singh |
| 2026 | SIGGRAPH | MAOAM: Unified Object and Material Selection with Vision-Language Models. | Jaden Park, Valentin Deschaintre, Jason Kuen, Kangning Liu, Iliyan Georgiev, Krishna Kumar Singh, Yong Jae Lee, Michael Fischer |
| 2025 | AAAI | Text2Relight: Creative Portrait Relighting with Text Guidance. | Junuk Cha, Mengwei Ren, Krishna Kumar Singh, He Zhang, Yannick Hold-Geoffroy, Seunghyun Yoon, Hyunjoon Jung, Jae Shin Yoon, Seungryul Baek |
| 2025 | CVPR | ShotAdapter: Text-to-Multi-Shot Video Generation with Diffusion Models. | Ozgur Kara, Krishna Kumar Singh, Feng Liu, Duygu Ceylan, James M. Rehg, Tobias Hinz |
| 2025 | CVPR | Yo'Chameleon: Personalized Vision and Language Generation. | Thao Nguyen, Krishna Kumar Singh, Jing Shi, Trung Bui, Yong Jae Lee, Yuheng Li |
| 2025 | CVPR | Comprehensive Relighting: Generalizable and Consistent Monocular Human Relighting and Harmonization. | 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 | ICCV | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICCV | X-Fusion: Introducing New Modality to Frozen Large Language Models. | 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 | SIGGRAPH | 3D-Fixup: Advancing Photo Editing with 3D Priors. | Yen-Chi Cheng, Krishna Kumar Singh, Jae Shin Yoon, Alexander G. Schwing, Liang-Yan Gui, Matheus Gadelha, Paul Guerrero, Nanxuan Zhao |
| 2024 | CVPR | 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 |
| 2024 | ECCV | 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 |
| 2024 | ECCV | GroupDiff: Diffusion-Based Group Portrait Editing. | Yuming Jiang, Nanxuan Zhao, Qing Liu, Krishna Kumar Singh, Shuai Yang, Chen Change Loy, Ziwei Liu |
| 2024 | ECCV | 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 |
| 2024 | SIGGRAPH | Separate-and-Enhance: Compositional Finetuning for Text-to-Image Diffusion Models. | Zhipeng Bao, Yijun Li, Krishna Kumar Singh, Yu-Xiong Wang, Martial Hebert |
| 2024 | WACV | P2D: Plug and Play Discriminator for accelerating GAN frameworks. | Min Jin Chong, Krishna Kumar Singh, Yijun Li, Jingwan Lu, David A. Forsyth |
| 2024 | WACV | Discovering and Mitigating Biases in CLIP-based Image Editing. | Md. Mehrab Tanjim, Krishna Kumar Singh, Kushal Kafle, Ritwik Sinha, Garrison W. Cottrell |
| 2024 | WACV | Consistent Multimodal Generation via A Unified GAN Framework. | Zhen Zhu, Yijun Li, Weijie Lyu, Krishna Kumar Singh, Zhixin Shu, Sren Pirk, Derek Hoiem |
| 2023 | CVPR | VGFlow: Visibility guided Flow Network for Human Reposing. | Rishabh Jain, Krishna Kumar Singh, Mayur Hemani, Jingwan Lu, Mausoom Sarkar, Duygu Ceylan, Balaji Krishnamurthy |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Complete 3D Human Reconstruction from a Single Incomplete Image. | Junying Wang, Jae Shin Yoon, Tuanfeng Y. Wang, Krishna Kumar Singh, Ulrich Neumann |
| 2023 | ICCV | UMFuse: Unified Multi View Fusion for Human Editing applications. | Rishabh Jain, Mayur Hemani, Duygu Ceylan, Krishna Kumar Singh, Jingwan Lu, Mausoom Sarkar, Balaji Krishnamurthy |
| 2023 | SIGGRAPH | Modulating Pretrained Diffusion Models for Multimodal Image Synthesis. | Cusuh Ham, James Hays, Jingwan Lu, Krishna Kumar Singh, Zhifei Zhang, Tobias Hinz |
| 2023 | SIGGRAPH | Zero-shot Image-to-Image Translation. | Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu |
| 2022 | BMVC | Debiasing Image-to-Image Translation Models. | Md. Mehrab Tanjim, Krishna Kumar Singh, Kushal Kafle, Ritwik Sinha, Garrison W. Cottrell |
| 2022 | CVPR | InsetGAN for Full-Body Image Generation. | Anna Frhstck, Krishna Kumar Singh, Eli Shechtman, Niloy J. Mitra, Peter Wonka, Jingwan Lu |
| 2022 | CVPR | Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing. | Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh |
| 2022 | CVPR | GIRAFFE HD: A High-Resolution 3D-aware Generative Model. | Yang Xue, Yuheng Li, Krishna Kumar Singh, Yong Jae Lee |
| 2022 | ECCV | Contrastive Learning for Diverse Disentangled Foreground Generation. | Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh |
| 2022 | WACV | Generating and Controlling Diversity in Image Search. | Md. Mehrab Tanjim, Ritwik Sinha, Krishna Kumar Singh, Sridhar Mahadevan, David Arbour, Moumita Sinha, Garrison W. Cottrell |
| 2021 | BMVC | PartGAN: Unsupervised Part Decomposition for Image Generation and Segmentation. | Yuheng Li, Krishna Kumar Singh, Yang Xue, Yong Jae Lee |
| 2021 | CVPR | IMAGINE: Image Synthesis by Image-Guided Model Inversion. | Pei Wang, Yijun Li, Krishna Kumar Singh, Jingwan Lu, Nuno Vasconcelos |
| 2021 | ICCV | Collaging Class-specific GANs for Semantic Image Synthesis. | Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh |
| 2021 | ICLR | Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains. | Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee |
| 2020 | CVPR | MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation. | Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee |
| 2020 | CVPR | 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 |
| 2019 | CVPR | You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection. | Krishna Kumar Singh, Yong Jae Lee |
| 2019 | CVPR | FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery. | Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee |
| 2018 | ECCV | DOCK: Detecting Objects by Transferring Common-Sense Knowledge. | Krishna Kumar Singh, Santosh Kumar Divvala, Ali Farhadi, Yong Jae Lee |
| 2018 | WSDM | 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 |
| 2017 | CVPR | 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 |
| 2017 | ICCV | Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-Supervised Object and Action Localization. | Krishna Kumar Singh, Yong Jae Lee |
| 2017 | ISDA | Correlation Scaled Principal Component Regression. | Krishna Kumar Singh, Amit Patel, Chiranjeevi Sadu |
| 2016 | CVPR | Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection. | Krishna Kumar Singh, Fanyi Xiao, Yong Jae Lee |
| 2016 | ECCV | End-to-End Localization and Ranking for Relative Attributes. | Krishna Kumar Singh, Yong Jae Lee |
| 2016 | WACV | KrishnaCam: Using a longitudinal, single-person, egocentric dataset for scene understanding tasks. | Krishna Kumar Singh, Kayvon Fatahalian, Alexei A. Efros |