Abhinav Agarwalla

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 16

Top Topics

Kinematic Constraints

Top Venues

Publications

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 (2024)
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 (2023)
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)
Deepak Babu Sam, Abhinav Agarwalla, Venkatesh Babu Radhakrishnan
Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels. AAAI (2022)
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)
Deepak Babu Sam, Jimmy Joseph, Abhinav Agarwalla, Venkatesh Babu Radhakrishnan
Dense or Sparse: Crowd Counting with Binary Supervision. ICVGIP (2022)
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 (2020)
Avisek Lahiri, Abhinav Agarwalla, Prabir Kumar Biswas
Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach. CoRR (2018)
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)
Avisek Lahiri, Abhinav Agarwalla, Prabir Kumar Biswas
Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach. ICVGIP (2018)
Abhinav Agarwalla, Muhammad Shaban, Nasir M. Rajpoot
Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images. CoRR (2017)
Arnav Kumar Jain, Abhinav Agarwalla, Kumar Krishna Agrawal, Pabitra Mitra
Recurrent Memory Addressing for Describing Videos. CVPR Workshops (2017)
Abhinav Agarwalla, Madhav Mantri, Vishal Singh
Hierarchical Ranking of Cricket Teams Incorporating Player Composition. PReMI (2017)
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)
Abhinav Agarwalla, Arnav Kumar Jain, Arpit Saxena, Jayanta Mukhopadhyay
Optimal Spline Trajectories by Modelling Kinematic Constraints in Robot Soccer. CoRR (2016)
Kumar Krishna Agrawal, Arnav Kumar Jain, Abhinav Agarwalla, Pabitra Mitra
Recurrent Memory Addressing for describing videos. CoRR (2016)