Aditya Kasliwal

According to our database, Aditya Kasliwal authored at least 13 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

HipyrNet: Hypernet-Guided Feature Pyramid Network for Mixed-Exposure Correction.

Shaurya Singh Rathore, Aravind Shenoy, Krish Didwania, Aditya Kasliwal, Ujjwal Verma

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

HiPyr: Harnessing HyperNetworks for Optimal Kernel Prediction in Laplacian Translation Networks for Contrast Enhancement.

Aravind Shenoy, Shaurya Singh Rathore, Krish Didwania, Aditya Kasliwal

Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, 2025

2024

LapGSR: Laplacian Reconstructive Network for Guided Thermal Super-Resolution.

Aditya Kasliwal, Ishaan Gakhar, Aryan Kamani, Pratinav Seth, Ujjwal Verma

CoRR, 2024

AgriLLM: Harnessing Transformers for Farmer Queries.

Krish Didwania, Pratinav Seth, Aditya Kasliwal, Amit Agarwal

CoRR, 2024

SolarPanel Segmentation : Self-Supervised Learning for Imperfect Datasets.

Sankarshanaa Sagaram, Aditya Kasliwal, Krish Didwania, Laven Srivastava, Pallavi Kailas, Ujjwal Verma

CoRR, 2024

Solar Panel Segmentation: Self-Supervised Learning Solutions for Imperfect Datasets.

Sankarshanaa Sagaram, Laven Srivastava, Krish Didwania, Aditya Kasliwal, Pallavi Kailas, Ujjwal Verma

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Sailing Through Spectra: Unveiling the Potential of Multi-Spectral Information in Marine Debris Segmentation.

Dyutit Mohanty, Aditya Kasliwal, Bharath Udupa, Pratinav Seth

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

LaMAR: Laplacian Pyramid for Multimodal Adaptive Super Resolution (Student Abstract).

Aditya Kasliwal, Aryan Kamani, Ishaan Gakhar, Pratinav Seth, Sriya Rallabandi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

CoReFusion: Contrastive Regularized Fusion for Guided Thermal Super-Resolution.

Aditya Kasliwal, Pratinav Seth, Sriya Rallabandi, Sanchit Singhal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ReFuSeg: Regularized Multi-modal Fusion for Precise Brain Tumour Segmentation.

Aditya Kasliwal, Sankarshanaa Sagaram, Laven Srivastava, Pratinav Seth, Adil Khan

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2023

CoReGAN: Contrastive Regularized Generative Adversarial Network for Guided Depth Map Super Resolution.

Aditya Kasliwal, Ishaan Gakhar, Aryan Bhavin Kamani

Proceedings of the Third International Conference on AI-ML Systems, 2023

Fed2Tier: A Two-Tier Federated Learning System Towards Green Computation.

Anupam Borthakur, Apoorva Srivastava, Aditya Kasliwal, Debdoot Sheet

Proceedings of the Third International Conference on AI-ML Systems, 2023

2022

Performance evaluation of deep segmentation models on Landsat-8 imagery.

Akshat Bhandari, Sriya Rallabandi, Sanchit Singhal, Aditya Kasliwal, Pratinav Seth

CoRR, 2022