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Biography
I’m a Senior Research Scientist at NVIDIA Research in the Toronto AI Lab and a PhD student at the University of Toronto advised by Prof. Sanja Fidler. I am broadly interested in generative models, with a soft spot for creative 3D tasks, and in data for Computer Vision problems, particularly in how data can be collected and labelled quicker through AI-assistance, or generated automatically. I graduated from IIT Kanpur, India in 2017 with a bachelor’s degree where I was fortunate to get to work with Prof. Gaurav Sharma and earlier with Prof. Amitabha Mukerjee. I have interned with the research team at Fyusion Inc. and with Prof. Raquel Urtasun and Prof. Sanja Fidler at the University of Toronto during undergrad.
Publications
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Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata
CVPR 2024 (Highlight)
@inproceedings{Zhang2024Hierarchical, author = {Dongsu Zhang and Francis Williams and Zan Gojcic and Karsten Kreis and Sanja Fidler and Young Min Kim and Amlan Kar}, title = {Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata}, booktitle = {Computer Vision and Pattern Recognition (CVPR)}, year = {2024} } -
DreamTeacher: Pretraining Image Backbones with Deep Generative Models
Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, Sanja FidlerICCV 2023
@inproceedings{li2023dreamteacher, title={Dreamteacher: Pretraining image backbones with deep generative models}, author={Li, Daiqing and Ling, Huan and Kar, Amlan and Acuna, David and Kim, Seung Wook and Kreis, Karsten and Torralba, Antonio and Fidler, Sanja}, booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision}, pages={16698–16708}, year={2023} } -
EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations
Ahmad Dar Khalil*, Dandan Shan*, Bin Zhu*, Jian Ma*, Amlan Kar, Richard Higgins, Sanja Fidler, David Fouhey, Dima DamenNeurIPS 2022 Datasets and Benchmarks
@inproceedings{VISOR2022, title={EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations}, author={Darkhalil, Ahmad and Shan, Dandan and Zhu, Bin and Ma, Jian and Kar, Amlan and Higgins, Richard and Fidler, Sanja and Fouhey, David and Damen, Dima}, booktitle={Proceedings of the Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks}, year={2022}} -
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
NeurIPS 2021
@inproceedings{Paschalidou2021NEURIPS, author = {Despoina Paschalidou and Amlan Kar and Maria Shugrina and Karsten Kreis and Andreas Geiger and Sanja Fidler}, title = {ATISS: Autoregressive Transformers for Indoor Scene Synthesis}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2021} } -
Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets
Yuan-Hong Liao, Amlan Kar, Sanja FidlerCVPR 2021 (Oral)
@inproceedings{liao2021towards, title={Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets}, author={Liao, Yuan-Hong and Kar, Amlan and Fidler, Sanja}, booktitle={CVPR}, year={2021} } -
Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation
Jeevan Devaranjan*, Amlan Kar*, Sanja FidlerECCV 2020
@inproceedings{devaranjan2020metasim2, title={Meta-Sim2: Learning to Generate Synthetic Datasets}, author={Devaranjan, Jeevan and Kar, Amlan and Fidler, Sanja}, booktitle={ECCV}, year={2020} } -
Interactive Annotation of 3D Object Geometry using 2D Scribbles
Tianchang Shen*, Jun Gao*, Amlan Kar, Sanja FidlerECCV 2020
@inproceedings{shen2020interactive, title={Interactive Annotation of 3D Object Geometry using 2D Scribbles}, author={Shen, Tianchang and Gao, Jun and Kar, Amlan and Fidler, Sanja}, booktitle={ECCV}, year={2020} } -
Federated Simulation for Medical Imaging
MICCAI 2020
@inproceedings{li2020federated, title={Federated Simulation for Medical Imaging}, author={Li, Daiqing and Kar, Amlan and Ravikumar, Nishant and Frangi, Alejandro and Fidler, Sanja}, booktitle={MICCAI}, year={2020} } -
Learning to Evaluate Perception Models using Planner-Centric Metrics
Jonah Philion, Amlan Kar, Sanja FidlerCVPR 2020
Details PDF BibTeX Code Project
@inproceedings{philion2020learning, title={Learning to Evaluate Perception Models using Planner-Centric Metrics}, author={Jonah Philion and Amlan Kar and Sanja Fidler}, booktitle={CVPR}, year={2020} } -
Nonlinear Color Triads for Approximation, Learning and Direct Manipulation of Color Distributions
SIGGRAPH 2020
@article{shugrina2020color, title={Nonlinear Color Triads for Approximation, Learning and Direct Manipulation of Color Distributions}, author={Maria Shugrina and Amlan Kar and Karan Singh and Sanja Fidler}, booktitle={ACM Transactions on Graphics (TOG)}, year={2020} } -
Meta-Sim: Learning to Generate Synthetic Datasets
Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja FidlerICCV 2019 (Oral)
Details PDF BibTeX Code Project
@inproceedings{kar2019metasim, title={Meta-Sim: Learning to Generate Synthetic Datasets}, author={Kar, Amlan and Prakash, Aayush and Liu, Ming-Yu and Cameracci, Eric and Yuan, Justin and Rusiniak, Matt and Acuna, David and Torralba, Antonio and Fidler, Sanja}, booktitle={ICCV}, year={2019} } -
Neural Turtle Graphics for Modeling City Road Layouts
Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja FidlerICCV 2019 (Oral)
@inproceedings{chu2019ntg, title={Neural Turtle Graphics for Modeling City Road Layouts}, author={Chu, Hang and Li, Daiqing and Acuna, David and Kar, Amlan and Shugrina, Maria and Wei, Xinkai and Liu, Ming-Yu and Torralba, Antonio and Fidler, Sanja}, booktitle={ICCV}, year={2019} } -
Learning to Caption Images through a Lifetime by Asking Questions
Kevin Shen, Amlan Kar, Sanja FidlerICCV 2019
NeurIPS 2018, ViGIL Workshop (Oral)Details PDF BibTeX Code Project
@inproceedings{shen2018learning, title={Learning to Caption Images through a Lifetime by Asking Questions}, author={Kevin Shen and Amlan Kar and Sanja Fidler}, booktitle={ICCV}, year={2019} } -
Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations
David Acuna, Amlan Kar, Sanja FidlerCVPR 2019 (Oral)
CVPR 2019, WebVision WorkshopDetails PDF BibTeX Code Project
@inproceedings{acuna2019devil, title={Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations}, author={David Acuna and Amlan Kar and Sanja Fidler}, booktitle={CVPR}, year={2019} }
Teaching Experience
University of Toronto
CSC420 - Intro to Image Understanding (Winter 2018), with Prof. Sanja Fidler
CSC384 - Intro to AI (Fall 2017), with Prof. Fahiem Bacchus
IIT Kanpur
CS698U - Topics in Computer Vision (2016-17 II), with Prof. Gaurav Sharma
ESC101 - Introduction to Programming - Tutor (2016-17 II), with Prof. Rajat Mittal
ESC101 - Introduction to Programming - Tutor (2016-17 I), with Prof. Vinay P. Namboodiri



