Shivam Duggal

I am a Ph.D. student at Massachusetts Institute of Technology (MIT), Electrical Engineering and Computer Science (EECS) department.

Previously, I was a master's student at Carnegie Mellon University's Robotics Institute (MSR), advised by Prof. Deepak Pathak. I was fortunate to be a Siebel Scholar at CMU. Before CMU, I worked as a Research Scientist at Uber ATG Toronto, advised by Prof. Raquel Urtasun. I also worked closely with Prof. Shenlong Wang.

My research interests lie at the intersection of computer vision, computer graphics, and robotics, with a focus on designing intelligent algorithms.

Recent Highlights

	•	Started Ph.D. at Massachusetts Institute of Technology (MIT) EECS department, Fall 2023.
	•	Research Intern at Google Cambridge, Summer 2023.
	•	Graduated from CMU in May 2023. Special thanks to my amazing advisor Deepak Pathak. [Thesis]
	•	Awarded Siebel Scholarship 2023 ($35000 USD). [CMU News / Siebel Foundation News]
	•	Recognized as an Outstanding Reviewer at ECCV 2022.
	•	Our paper GeoSim was nominated for the Best Paper Award at CVPR 2021.

Publications

Your Diffusion Model is Secretly a Zero-Shot Classifier

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

ICCV 2023 (Paris, France)

Paper | Webpage | Code

Generative Model for Discriminative Task (Zero-Shot Classification).

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

Shivam Duggal, Deepak Pathak

CVPR 2022 (New Orleans, USA)

Paper | Webpage | Video | Code

Implicit Deformable Reconstruction from posed image collection.

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

WACV 2022 (Hawaii, USA)

Paper | Video | Poster

High-fidelity 3D Object Reconstruction in the wild.

GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving (Oral)

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

CVPR 2021 (Virtual)
(Oral, Best Paper Finalist)

Paper | Video | Poster | Webpage

Photorealistic image/video manipulation via dynamic object insertion.

DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch

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

ICCV 2019 (Seoul, Korea)
(Mentioned in Rick Szeliski's book, Depth Estimation Chapter)

Paper | Code | Webpage

Real-time stereo estimation via Differentiable PatchMatch.

Online Video Summarization: Predicting Future to Better Summarize Present

Shamit Lal*, Shivam Duggal*, Indu Sreedevi

WACV 2019 (Hawaii, USA)

Paper

Other Projects

NeuralODF: Learning Omnidirectional Distance Fields for 3D Shape Representation

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

arXiv

Non-Exponential Radiative Transfer for Volumetric Light Transport

Shivam Duggal

CMU 15-668 Physics-based Rendering (Spring 2022)

Technical Report

Miscellaneous

Reviewer Service: WACV 2024, SIGGRAPH ASIA 2023, ICCV 2023, CVPR 2023, IJCV, WACV 2023, ECCV 2022, CVPR 2022, WACV 2021, ICRA 2021, IROS 2021, SIGGRAPH ASIA 2021
I am a sports enthusiast & particularly enjoy playing cricket, badminton, volleyball & soccer. Some old memories: here, here, here, here !!

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