Abhinav Agarwalla

16 papers A* 1A 1Journal 7Unranked 7
YearRankTypeTitle / Venue / Authors
2024 J jnl
Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment.
CoRR
Abhinav Agarwalla, Abhay Gupta, Alexandre Noll Marques, Shubhra Pandit, Michael Goin, Eldar Kurtic, Kevin Leong, Tuan Nguyen, Mahmoud Salem, Dan Alistarh, Sean Lie, Mark Kurtz
2023 A conf
Lidar Panoptic Segmentation and Tracking without Bells and Whistles.
IROS
Abhinav Agarwalla, Xuhua Huang, Jason Ziglar, Francesco Ferroni, Laura Leal-Taixé, James Hays, Aljosa Osep, Deva Ramanan
2023 J jnl
Lidar Panoptic Segmentation and Tracking without Bells and Whistles.
CoRR
Abhinav Agarwalla, Xuhua Huang, Jason Ziglar, Francesco Ferroni, Laura Leal-Taixé, James Hays, Aljosa Osep, Deva Ramanan
2022 A* conf
Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels.
AAAI
Deepak Babu Sam, Abhinav Agarwalla, Venkatesh Babu Radhakrishnan
2022 — conf
Completely Self-supervised Crowd Counting via Distribution Matching.
ECCV (31)
Deepak Babu Sam, Abhinav Agarwalla, Jimmy Joseph, Vishwanath A. Sindagi, R. Venkatesh Babu, Vishal M. Patel
2022 — conf
Dense or Sparse: Crowd Counting with Binary Supervision.
ICVGIP
Deepak Babu Sam, Jimmy Joseph, Abhinav Agarwalla, Venkatesh Babu Radhakrishnan
2020 J jnl
Completely Self-Supervised Crowd Counting via Distribution Matching.
CoRR
Deepak Babu Sam, Abhinav Agarwalla, Jimmy Joseph, Vishwanath A. Sindagi, R. Venkatesh Babu, Vishal M. Patel
2018 — conf
Bayesian optimisation with prior reuse for motion planning in robot soccer.
COMAD/CODS
Abhinav Agarwalla, Arnav Kumar Jain, K. V. Manohar, Arpit Tarang Saxena, Jayanta Mukhopadhyay
2018 — conf
Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach.
ICVGIP
Avisek Lahiri, Abhinav Agarwalla, Prabir Kumar Biswas
2018 J jnl
Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach.
CoRR
Avisek Lahiri, Abhinav Agarwalla, Prabir Kumar Biswas
2017 — conf
Hierarchical Ranking of Cricket Teams Incorporating Player Composition.
PReMI
Abhinav Agarwalla, Madhav Mantri, Vishal Singh
2017 — conf
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results.
CVPR Workshops
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
2017 — conf
Recurrent Memory Addressing for Describing Videos.
CVPR Workshops
Arnav Kumar Jain, Abhinav Agarwalla, Kumar Krishna Agrawal, Pabitra Mitra
2017 J jnl
Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images.
CoRR
Abhinav Agarwalla, Muhammad Shaban, Nasir M. Rajpoot
2016 J jnl
Optimal Spline Trajectories by Modelling Kinematic Constraints in Robot Soccer.
CoRR
Abhinav Agarwalla, Arnav Kumar Jain, Arpit Saxena, Jayanta Mukhopadhyay
2016 J jnl
Recurrent Memory Addressing for describing videos.
CoRR
Kumar Krishna Agrawal, Arnav Kumar Jain, Abhinav Agarwalla, Pabitra Mitra