Abhinav Agarwalla

Researcher, Latitude AI

Joined

July 2019

Names

Abhinav Agarwalla

Emails

****@gmail.com (Confirmed)

****@andrew.cmu.edu (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

Latitude AI (lat.ai)

2024 – Present

Researcher

Neural Magic (neuralmagic.com)

2023 – 2024

MS student

Carnegie Mellon University (cmu.edu)

2021 – 2022

Researcher

Indian Institute of Science, Indian institute of science, Bangalore (iisc.ac.in)

2020 – 2021

Undergrad student

Indian Institute of Technology Kharagpur (iitkgp.ac.in)

2013 – 2018

Advisors, Relations & Conflicts

Coauthor

Deva Ramanan

2021 – 2023

Coauthor

Venkatesh Babu

2020 – 2021

Coauthor

Pabitra Mitra

2016 – 2018

Expertise

3D vision

lidar perception

object detection

segmentation

2021 – Present

computer vision

deep learning

unsupervised learning

2016 – Present

Publications

Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment
Abhay Gupta, Dan Alistarh, Abhinav Agarwalla, Sean Lie, Chen-Yu Kevin Leong, Michael Goin, Eldar Kurtic, Mahmoud Salem, Mark Kurtz
- OpenReview Archive Direct Upload
- Readers: Everyone
Lidar Panoptic Segmentation and Tracking without Bells and Whistles
Abhinav Agarwalla, Xuhua Huang, Jason Ziglar, Francesco Ferroni, Laura Leal-Taixé, James Hays, Aljosa Osep, Deva Ramanan
- Published: 01 Jan 2023, Last Modified: 14 Nov 2023
- CoRR 2023
- Readers: Everyone
Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels
Deepak Babu Sam, Abhinav Agarwalla, Venkatesh Babu Radhakrishnan
- 2022 (modified: 09 Nov 2022)
- AAAI 2022
- Readers: Everyone
Completely Self-supervised Crowd Counting via Distribution Matching
Deepak Babu Sam, Abhinav Agarwalla, Jimmy Joseph, Vishwanath A. Sindagi, R. Venkatesh Babu, Vishal M. Patel
- 2022 (modified: 09 Nov 2022)
- ECCV (31) 2022
- Readers: Everyone
Dense or Sparse: Crowd Counting with Binary Supervision
Deepak Babu Sam, Jimmy Joseph, Abhinav Agarwalla, Venkatesh Babu Radhakrishnan
- Published: 01 Jan 2022, Last Modified: 14 Nov 2023
- ICVGIP 2022
- Readers: Everyone
Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach
Avisek Lahiri, Abhinav Agarwalla, Prabir Kumar Biswas
- 2018 (modified: 09 Nov 2022)
- ICVGIP 2018
- Readers: Everyone
Bayesian optimisation with prior reuse for motion planning in robot soccer
Abhinav Agarwalla, Arnav Kumar Jain, K. V. Manohar, Arpit Tarang Saxena, Jayanta Mukhopadhyay
- 2018 (modified: 09 Nov 2022)
- COMAD/CODS 2018
- Readers: Everyone
Recurrent Memory Addressing for Describing Videos
Arnav Kumar Jain, Abhinav Agarwalla, Kumar Krishna Agrawal, Pabitra Mitra
- 2017 (modified: 10 Nov 2022)
- CVPR Workshops 2017
- Readers: Everyone
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results
Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae et al. (57 additional authors not shown)
- 2017 (modified: 05 Mar 2026)
- CVPR Workshops 2017
- Readers: Everyone
Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images
Abhinav Agarwalla, Muhammad Shaban, Nasir M. Rajpoot
- 2017 (modified: 09 Nov 2022)
- CoRR 2017
- Readers: Everyone

Co-Authors

View all 106 co-authors