Keshigeyan Chandrasegaran

According to our database, Keshigeyan Chandrasegaran authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

GPIC: A Giant Permissive Image Corpus for Visual Generation.

Keshigeyan Chandrasegaran, Kyle Sargent, Suchir Agarwal, Michael Jang, Michael Poli, Juan Carlos Niebles, Justin Johnson, Jiajun Wu, Li Fei-Fei

CoRR, May, 2026

Theory of Space: Can Foundation Models Construct Spatial Beliefs through Active Exploration?

Pingyue Zhang, Zihan Huang, Yue Wang, Jieyu Zhang, Letian Xue, Zihan Wang, Qineng Wang, Keshigeyan Chandrasegaran, Ruohan Zhang, Yejin Choi, Ranjay Krishna, Jiajun Wu, Li Fei-Fei, Manling Li

CoRR, February, 2026

2025

Spatial Mental Modeling from Limited Views.

Baiqiao Yin, Qineng Wang, Pingyue Zhang, Jianshu Zhang, Kangrui Wang, Zihan Wang, Jieyu Zhang, Keshigeyan Chandrasegaran, Han Liu, Ranjay Krishna, Saining Xie, Manling Li, Jiajun Wu, Li Fei-Fei

CoRR, June, 2025

Exploring Diffusion Transformer Designs via Grafting.

Keshigeyan Chandrasegaran, Michael Poli, Daniel Y. Fu, Dongjun Kim, Lea M. Hadzic, Manling Li, Agrim Gupta, Stefano Massaroli, Azalia Mirhoseini, Juan Carlos Niebles, Stefano Ermon, Li Fei-Fei

CoRR, June, 2025

A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot.

Milad Abdollahzadeh, Guimeng Liu, Touba Malekzadeh, Christopher T. H. Teo, Keshigeyan Chandrasegaran, Ngai-Man Cheung

Trans. Mach. Learn. Res., 2025

Re-thinking Temporal Search for Long-Form Video Understanding.

Jinhui Ye, Zihan Wang, Haosen Sun, Keshigeyan Chandrasegaran, Zane Durante, Cristóbal Eyzaguirre, Yonatan Bisk, Juan Carlos Niebles, Ehsan Adeli, Li Fei-Fei, Jiajun Wu, Manling Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

HourVideo: 1-Hour Video-Language Understanding.

Keshigeyan Chandrasegaran, Agrim Gupta, Lea M. Hadzic, Taran Kota, Jimming He, Cristóbal Eyzaguirre, Zane Durante, Manling Li, Jiajun Wu, Li Fei-Fei

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Model Inversion Robustness: Can Transfer Learning Help?

Sy-Tuyen Ho, Koh Jun Hao, Keshigeyan Chandrasegaran, Ngoc-Bao Nguyen, Ngai-Man Cheung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Label-Only Model Inversion Attacks via Knowledge Transfer.

Ngoc-Bao Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Re-Thinking Model Inversion Attacks Against Deep Neural Networks.

Ngoc-Bao Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Few-shot Image Generation via Adaptation-Aware Kernel Modulation.

Yunqing Zhao, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?

Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Yunqing Zhao, Ngai-Man Cheung

Proceedings of the International Conference on Machine Learning, 2022

Discovering Transferable Forensic Features for CNN-Generated Images Detection.

Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Alexander Binder, Ngai-Man Cheung

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

A Closer Look at Fourier Spectrum Discrepancies for CNN-Generated Images Detection.

Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Ngai-Man Cheung

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021