Amalgamation of Video Description and Multiple Object Localization using single Deep Learning Model. - Shivam Duggal; Shrey Manik; Mohan Ghai (ICSPS, 2017)

DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch. - Shivam Duggal; Shenlong Wang; Wei-Chiu Ma; Rui Hu 001; Raquel Urtasun (ICCV, 2019)

Online Video Summarization: Predicting Future to Better Summarize Present. - Shamit Lal; Shivam Duggal; Indu Sreedevi (WACV, 2019)

GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving. - Yun Chen 014; Frieda Rong; Shivam Duggal; Shenlong Wang; Xinchen Yan; Sivabalan Manivasagam; Shangjie Xue; Ersin Yumer; Raquel Urtasun (CVPR, 2021)

GeoSim: Photorealistic Image Simulation with Geometry-Aware Composition. - Yun Chen 014; Frieda Rong; Shivam Duggal; Shenlong Wang; Xinchen Yan; Sivabalan Manivasagam; Shangjie Xue; Ersin Yumer; Raquel Urtasun (CoRR, 2021)

Secrets of 3D Implicit Object Shape Reconstruction in the Wild. - Shivam Duggal; Zihao Wang; Wei-Chiu Ma; Sivabalan Manivasagam; Justin Liang 001; Shenlong Wang; Raquel Urtasun (CoRR, 2021)

Topologically-Aware Deformation Fields for Single-View 3D Reconstruction. - Shivam Duggal; Deepak Pathak (CVPR, 2022)

Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild. - Shivam Duggal; Zihao Wang; Wei-Chiu Ma; Sivabalan Manivasagam; Justin Liang 001; Shenlong Wang; Raquel Urtasun (WACV, 2022)

NeuralODF: Learning Omnidirectional Distance Fields for 3D Shape Representation. - Trevor Houchens; Cheng-You Lu; Shivam Duggal; Rao Fu; Srinath Sridhar 002 (CoRR, 2022)

Your Diffusion Model is Secretly a Zero-Shot Classifier. - Alexander C. Li; Mihir Prabhudesai; Shivam Duggal; Ellis Brown; Deepak Pathak (ICCV, 2023)

A Vision Check-up for Language Models. - Pratyusha Sharma; Tamar Rott Shaham; Manel Baradad; Adrián Rodríuez-Muñoz; Shivam Duggal; Phillip Isola; Antonio Torralba 001; Stephanie Fu (CVPR, 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 001 (CoRR, 2024)

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 001; Ali Farhadi; Wei-Chiu Ma (CVPR, 2025)

Adaptive Length Image Tokenization via Recurrent Allocation. - Shivam Duggal; Phillip Isola; Antonio Torralba 001; William T. Freeman (ICLR, 2025)

Single-pass Adaptive Image Tokenization for Minimum Program Search. - Shivam Duggal; Sanghyun Byun; William T. Freeman; Antonio Torralba 001; Phillip Isola (CoRR, 2025)