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Abhinav Agarwalla
Abhinav Agarwalla
Verified email at andrew.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Representation-aggregation networks for segmentation of multi-gigapixel histology images
A Agarwalla, M Shaban, NM Rajpoot
arXiv preprint arXiv:1707.08814, 2017
232017
Completely self-supervised crowd counting via distribution matching
D Babu Sam, A Agarwalla, J Joseph, VA Sindagi, RV Babu, VM Patel
European Conference on Computer Vision, 186-204, 2022
162022
Recurrent memory addressing for describing videos
A Agarwalla, AK Jain, KK Agrawal, P Mitra
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops …, 2017
12*2017
Unsupervised domain adaptation for learning eye gaze from a million synthetic images: An adversarial approach
A Lahiri, A Agarwalla, PK Biswas
Proceedings of the 11th Indian Conference on Computer Vision, Graphics and …, 2018
82018
Lidar Panoptic Segmentation and Tracking without Bells and Whistles
A Agarwalla, X Huang, J Ziglar, F Ferroni, L Leal-Taixé, J Hays, A Ošep, ...
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
22023
Bayesian optimisation with prior reuse for motion planning in robot soccer
A Agarwalla, AK Jain, KV Manohar, AT Saxena, J Mukhopadhyay
Proceedings of the ACM India Joint International Conference on Data Science …, 2018
22018
Hierarchical ranking of cricket teams incorporating player composition
A Agarwalla, M Mantri, V Singh
International Conference on Pattern Recognition and Machine Intelligence …, 2017
12017
Dense or Sparse: Crowd Counting with Binary Supervision
D Babu Sam, J Joseph, A Agarwalla, VB Radhakrishnan
Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics …, 2022
2022
Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels
DB Sam, A Agarwalla, VB Radhakrishnan
Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 2162-2170, 2022
2022
Towards Deployable Multi-Domain Learning for Inductive-Transductive Transfer
JN Kundu, A Agarwalla, S Bhambri, A Kulkarni
Inverting 3D Deep Learning Architectures
A Agarwalla, P Mittal, S Gupta
KgpKubs Team Description Paper
A Gupta, S Garg, A Agarwal, N Nikhil, V Agarwal, I Sang
KgpKubs Team Description Paper
A Agarwal, N Nikhil, V Agarwal, BS Aditya, R Kumar, P Tibrewal, ...
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