Optimal Spline Trajectories by Modelling Kinematic Constraints in Robot Soccer. - Abhinav Agarwalla; Arnav Kumar Jain; Arpit Saxena; Jayanta Mukhopadhyay (CoRR, 2016)

Recurrent Memory Addressing for Describing Videos. - Arnav Kumar Jain; Abhinav Agarwalla; Kumar Krishna Agrawal; Pabitra Mitra (CVPR Workshops, 2017)

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. - Radu Timofte; Eirikur Agustsson; Luc Van Gool; Ming-Hsuan Yang 001; Lei Zhang 006; Bee Lim; Sanghyun Son 002; Heewon Kim; Seungjun Nah; Kyoung Mu Lee; Xintao Wang 002; Yapeng Tian; et al. (CVPR Workshops, 2017)

Hierarchical Ranking of Cricket Teams Incorporating Player Composition. - Abhinav Agarwalla; Madhav Mantri; Vishal Singh (PReMI, 2017)

Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images. - Abhinav Agarwalla; Muhammad Shaban; Nasir M. Rajpoot (CoRR, 2017)

Bayesian optimisation with prior reuse for motion planning in robot soccer. - Abhinav Agarwalla; Arnav Kumar Jain; K. V. Manohar; Arpit Tarang Saxena; Jayanta Mukhopadhyay (COMAD/CODS, 2018)

Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach. - Avisek Lahiri; Abhinav Agarwalla; Prabir Kumar Biswas (ICVGIP, 2018)

Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels. - Deepak Babu Sam; Abhinav Agarwalla; Venkatesh Babu Radhakrishnan (AAAI, 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 (ECCV (31), 2022)

Dense or Sparse: Crowd Counting with Binary Supervision. - Deepak Babu Sam; Jimmy Joseph; Abhinav Agarwalla; Venkatesh Babu Radhakrishnan (ICVGIP, 2022)

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)

Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment. - 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 (CoRR, 2024)