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.

Email | Google Scholar | Github | Twitter

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.
ACM ICPC India Finalist: National Rank 28.
Publications
Adaptive Length Image Tokenization via Recurrent Allocation
Shivam Duggal, Phillip Isola, Antonio Torralba, William T. Freeman
paper | code | tl;dr (tweet)
Your Diffusion Model is Secretly a Zero-Shot Classifier
Alexander Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, Deepak Pathak
ICCV 2023  (Paris, France)
paper | project page | code
Topologically-Aware Deformation Fields for Single-View 3D Reconstruction
Shivam Duggal, Deepak Pathak
CVPR 2022  (New Orleans, USA)
paper | project page | code | video
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
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 | project page | video | poster
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 | project page | code
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)  
report
Miscellaneous
  • I am a sports enthusiast and particularly enjoy playing cricket, badminton, volleyball, and soccer. I am currently a member of the MIT Cricket team and occasionally play for a club in Boston. Here are some old memories: here, here, here, here !!
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