Aditya Prakash

I am a PhD student in Computer Science at UIUC, advised by Saurabh Gupta & David Forsyth. My area of research is at the intersection of 3D vision & robotics. Specifically, I work on geometric and semantic understanding of hand-object interaction in egocentric videos. Prior to joining UIUC, I spent two amazing years in the Autonomous Vision Group at the Max Planck Institute for Intelligent Systems & the University of Tübingen, working with Andreas Geiger. Previously, I have also worked with researchers from NAVER, Video Analytics Lab, Indian Institute of Science, Adobe Research & Cornell Tech. I graduated from the Indian Institute of Technology Roorkee in 2018 with the Department Gold Medal & the Institute Bronze Medal.

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Research
3D Hand Pose Estimation in Egocentric Images in the Wild
Aditya Prakash, Ruisen Tu, Matthew Chang, Saurabh Gupta
arXiv, 2023
abstract / bibtex / project page / video
Mitigating Perspective Distortion-induced Shape Ambiguity in Image Crops
Aditya Prakash, Arjun Gupta, Saurabh Gupta
arXiv, 2023
abstract / bibtex / project page / video
Look Ma, No Hands! Agent-Environment Factorization of Egocentric Videos
Matthew Chang, Aditya Prakash, Saurabh Gupta
Neural Information Processing Systems (NeurIPS), 2023
abstract / bibtex / project page / video
Learning Hand-Held Object Reconstruction from In-The-Wild Videos
Aditya Prakash, Matthew Chang, Matthew Jin, Saurabh Gupta
arXiv, 2023
abstract / bibtex / project page / video
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
Kashyap Chitta, Aditya Prakash, Bernhard Jaeger, Zehao Yu, Katrin Renz, Andreas Geiger
Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
abstract / bibtex / code
NEAT: Neural Attention Fields for End-to-End Autonomous Driving
Kashyap Chitta*, Aditya Prakash*, Andreas Geiger
International Conference on Computer Vision (ICCV), 2021
Transformers for Vision (T4V) Workshop at CVPR 2022 (Spotlight)
abstract / bibtex / code / video
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
Aditya Prakash*, Kashyap Chitta*, Andreas Geiger
Conference on Computer Vision and Pattern Recognition (CVPR), 2021
abstract / bibtex / project page / code / video / poster / blog
Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving
Aditya Prakash, Aseem Behl, Eshed Ohn-Bar, Kashyap Chitta, Andreas Geiger
Conference on Computer Vision and Pattern Recognition (CVPR), 2020
abstract / bibtex / project page / code / video
Learning Situational Driving
Eshed Ohn-Bar, Aditya Prakash, Aseem Behl, Kashyap Chitta, Andreas Geiger
Conference on Computer Vision and Pattern Recognition (CVPR), 2020
abstract / bibtex / project page / video
Label Efficient Visual Abstractions for Autonomous Driving
Aseem Behl*, Kashyap Chitta*, Aditya Prakash, Eshed Ohn-Bar, Andreas Geiger
International Conference on Intelligent Robots and Systems (IROS), 2020
abstract / bibtex / arxiv
Deep Fundamental Matrix Estimation without Correspondences
Omid Poursaeed*, Guandao Yang*, Aditya Prakash*, Qiuren Fang, Hanqing Jiang, Bharath Hariharan, Serge Belongie
European Conference on Computer Vision (ECCV) Workshops, 2018
abstract / bibtex / arxiv / code
iSPA-Net: Iterative Semantic Pose Alignment Network
Jogendra Nath Kundu*, Aditya Ganeshan*, Rahul M Venkatesh*, Aditya Prakash, R. Venkatesh Babu
ACM Conference on Multimedia (ACM MM), 2018
abstract / bibtex / arxiv / code

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