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Abhinav Agarwalla
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2020 – today
- 2024
- [i7]Abhinav Agarwalla, Abhay Gupta, Alexandre Marques, Shubhra Pandit, Michael Goin, Eldar Kurtic, Kevin Leong, Tuan Nguyen, Mahmoud Salem, Dan Alistarh, Sean Lie, Mark Kurtz:
Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment. CoRR abs/2405.03594 (2024) - 2023
- [c9]Abhinav Agarwalla, Xuhua Huang, Jason Ziglar, Francesco Ferroni, Laura Leal-Taixé, James Hays, Aljosa Osep, Deva Ramanan:
Lidar Panoptic Segmentation and Tracking without Bells and Whistles. IROS 2023: 7667-7674 - [i6]Abhinav Agarwalla, Xuhua Huang, Jason Ziglar, Francesco Ferroni, Laura Leal-Taixé, James Hays, Aljosa Osep, Deva Ramanan:
Lidar Panoptic Segmentation and Tracking without Bells and Whistles. CoRR abs/2310.12464 (2023) - 2022
- [c8]Deepak Babu Sam, Abhinav Agarwalla, Venkatesh Babu Radhakrishnan:
Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels. AAAI 2022: 2162-2170 - [c7]Deepak Babu Sam, Abhinav Agarwalla, Jimmy Joseph, Vishwanath A. Sindagi, R. Venkatesh Babu
, Vishal M. Patel:
Completely Self-supervised Crowd Counting via Distribution Matching. ECCV (31) 2022: 186-204 - [c6]Deepak Babu Sam
, Jimmy Joseph
, Abhinav Agarwalla
, Venkatesh Babu Radhakrishnan
:
Dense or Sparse: Crowd Counting with Binary Supervision. ICVGIP 2022: 50:1-50:9 - 2020
- [i5]Deepak Babu Sam, Abhinav Agarwalla, Jimmy Joseph, Vishwanath A. Sindagi, R. Venkatesh Babu, Vishal M. Patel:
Completely Self-Supervised Crowd Counting via Distribution Matching. CoRR abs/2009.06420 (2020)
2010 – 2019
- 2018
- [c5]Abhinav Agarwalla, Arnav Kumar Jain, K. V. Manohar, Arpit Tarang Saxena, Jayanta Mukhopadhyay:
Bayesian optimisation with prior reuse for motion planning in robot soccer. COMAD/CODS 2018: 88-97 - [c4]Avisek Lahiri, Abhinav Agarwalla, Prabir Kumar Biswas:
Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach. ICVGIP 2018: 69:1-69:9 - [i4]Avisek Lahiri, Abhinav Agarwalla, Prabir Kumar Biswas:
Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach. CoRR abs/1810.07926 (2018) - 2017
- [c3]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, Jae Jun 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:
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2017: 1110-1121 - [c2]Arnav Kumar Jain, Abhinav Agarwalla, Kumar Krishna Agrawal, Pabitra Mitra:
Recurrent Memory Addressing for Describing Videos. CVPR Workshops 2017: 2200-2207 - [c1]Abhinav Agarwalla
, Madhav Mantri
, Vishal Singh
:
Hierarchical Ranking of Cricket Teams Incorporating Player Composition. PReMI 2017: 633-638 - [i3]Abhinav Agarwalla, Muhammad Shaban, Nasir M. Rajpoot
:
Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images. CoRR abs/1707.08814 (2017) - 2016
- [i2]Abhinav Agarwalla, Arnav Kumar Jain, Arpit Saxena, Jayanta Mukhopadhyay:
Optimal Spline Trajectories by Modelling Kinematic Constraints in Robot Soccer. CoRR abs/1611.01851 (2016) - [i1]Kumar Krishna Agrawal, Arnav Kumar Jain, Abhinav Agarwalla, Pabitra Mitra:
Recurrent Memory Addressing for describing videos. CoRR abs/1611.06492 (2016)
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