Shivam Duggal

According to our database, Shivam Duggal authored at least 16 papers between 2017 and 2026.

Collaborative distances:

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

2026

End-to-End Training for Unified Tokenization and Latent Denoising.

Shivam Duggal, Xingjian Bai, Zongze Wu, Richard Zhang, Eli Shechtman, Antonio Torralba, Phillip Isola, William T. Freeman

CoRR, March, 2026

2025

Single-pass Adaptive Image Tokenization for Minimum Program Search.

Shivam Duggal, Sanghyun Byun, Bill Freeman, Antonio Torralba, Phillip Isola

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Adaptive Length Image Tokenization via Recurrent Allocation.

Shivam Duggal, Phillip Isola, Antonio Torralba, William T. Freeman

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation.

Shivam Duggal, Yushi Hu, Oscar Michel, Aniruddha Kembhavi, William T. Freeman, Noah A. Smith, Ranjay Krishna, Antonio Torralba, Ali Farhadi, Wei-Chiu Ma

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

2024

A Vision Check-up for Language Models.

Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Stephanie Fu, Adrián Rodríguez-Muñoz, Shivam Duggal, Phillip Isola, Antonio Torralba

CoRR, 2024

A Vision Check-up for Language Models.

Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Adrián Rodríuez-Muñoz, Shivam Duggal, Phillip Isola, Antonio Torralba, Stephanie Fu

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

2023

Your Diffusion Model is Secretly a Zero-Shot Classifier.

Alexander C. Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, Deepak Pathak

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

NeuralODF: Learning Omnidirectional Distance Fields for 3D Shape Representation.

Trevor Houchens, Cheng-You Lu, Shivam Duggal, Rao Fu, Srinath Sridhar

CoRR, 2022

Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild.

Shivam Duggal, Zihao Wang, Wei-Chiu Ma, Sivabalan Manivasagam, Justin Liang, Shenlong Wang, Raquel Urtasun

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Topologically-Aware Deformation Fields for Single-View 3D Reconstruction.

Shivam Duggal, Deepak Pathak

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Secrets of 3D Implicit Object Shape Reconstruction in the Wild.

Shivam Duggal, Zihao Wang, Wei-Chiu Ma, Sivabalan Manivasagam, Justin Liang, Shenlong Wang, Raquel Urtasun

CoRR, 2021

GeoSim: Photorealistic Image Simulation with Geometry-Aware Composition.

Yun Chen, Frieda Rong, Shivam Duggal, Shenlong Wang, Xinchen Yan, Sivabalan Manivasagam, Shangjie Xue, Ersin Yumer, Raquel Urtasun

CoRR, 2021

GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving.

Yun Chen, Frieda Rong, Shivam Duggal, Shenlong Wang, Xinchen Yan, Sivabalan Manivasagam, Shangjie Xue, Ersin Yumer, Raquel Urtasun

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

2019

Online Video Summarization: Predicting Future to Better Summarize Present.

Shamit Lal, Shivam Duggal, Indu Sreedevi

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch.

Shivam Duggal, Shenlong Wang, Wei-Chiu Ma, Rui Hu, Raquel Urtasun

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2017

Amalgamation of Video Description and Multiple Object Localization using single Deep Learning Model.

Shivam Duggal, Shrey Manik, Mohan Ghai

Proceedings of the 9th International Conference on Signal Processing Systems, 2017