Abhinav Agarwalla

According to our database, Abhinav Agarwalla authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment.

Abhinav Agarwalla, Abhay Gupta, Alexandre Marques, Shubhra Pandit, Michael Goin, Eldar Kurtic, Kevin Leong, Tuan Nguyen, Mahmoud Salem, Dan Alistarh, Sean Lie, Mark Kurtz

CoRR, 2024

2023

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

IROS, 2023

2022

Dense or Sparse: Crowd Counting with Binary Supervision.

Deepak Babu Sam, Jimmy Joseph, Abhinav Agarwalla, Venkatesh Babu Radhakrishnan

Proceedings of the Thirteenth Indian Conference on Computer Vision, 2022

Completely Self-supervised Crowd Counting via Distribution Matching.

Deepak Babu Sam, Abhinav Agarwalla, Jimmy Joseph, Vishwanath A. Sindagi, R. Venkatesh Babu, Vishal M. Patel

Proceedings of the Computer Vision - ECCV 2022, 2022

Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels.

Deepak Babu Sam, Abhinav Agarwalla, Venkatesh Babu Radhakrishnan

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2018

Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach.

Avisek Lahiri, Abhinav Agarwalla, Prabir Kumar Biswas

Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018

Bayesian optimisation with prior reuse for motion planning in robot soccer.

Abhinav Agarwalla, Arnav Kumar Jain, K. V. Manohar, Arpit Tarang Saxena, Jayanta Mukhopadhyay

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

2017

Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images.

Abhinav Agarwalla, Muhammad Shaban, Nasir M. Rajpoot

CoRR, 2017

Hierarchical Ranking of Cricket Teams Incorporating Player Composition.

Abhinav Agarwalla, Madhav Mantri, Vishal Singh

Proceedings of the Pattern Recognition and Machine Intelligence, 2017

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, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Recurrent Memory Addressing for Describing Videos.

Arnav Kumar Jain, Abhinav Agarwalla, Kumar Krishna Agrawal, Pabitra Mitra

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Optimal Spline Trajectories by Modelling Kinematic Constraints in Robot Soccer.

Abhinav Agarwalla, Arnav Kumar Jain, Arpit Saxena, Jayanta Mukhopadhyay

CoRR, 2016