| Corefusion: Contrastive regularized fusion for guided thermal super-resolution A Kasliwal, P Seth, S Rallabandi, S Singhal Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| FedERA: Framework for Federated Learning with Diversified Edge Resource Allocation A Borthakur, A Manna, A Kasliwal, D Dewan, D Sheet Authorea Preprints, 2023 | 3 | 2023 |
| Performance evaluation of deep segmentation models on Landsat-8 imagery A Bhandari, S Rallabandi, S Singhal, A Kasliwal arXiv preprint arXiv:2211.14851 290, 291, 2022 | 3* | 2022 |
| Sailing Through Spectra: Unveiling the Potential of Multi-Spectral Information in Marine Debris Segmentation D Mohanty, A Kasliwal, B Udupa, P Seth The Second Tiny Papers Track at ICLR 2024, 2024 | 1 | 2024 |
| Fed2Tier: A Two-Tier Federated Learning System Towards Green Computation A Borthakur, A Srivastava, A Kasliwal, D Sheet Proceedings of the Third International Conference on AI-ML Systems, 1-3, 2023 | 1 | 2023 |
| LapGSR: Laplacian Reconstructive Network for Guided Thermal Super-Resolution A Kasliwal, I Gakhar, A Kamani, P Seth, U Verma arXiv preprint arXiv:2411.07750, 2024 | | 2024 |
| AgriLLM: Harnessing Transformers for Farmer Queries K Didwania, P Seth, A Kasliwal, A Agarwal arXiv preprint arXiv:2407.04721, 2024 | | 2024 |
| LaMAR: Laplacian Pyramid for Multimodal Adaptive Super Resolution (Student Abstract) A Kasliwal, A Kamani, I Gakhar, P Seth, S Rallabandi Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23539 …, 2024 | | 2024 |
| CoReGAN: Contrastive Regularized Generative Adversarial Network for Guided Depth Map Super Resolution A Kasliwal, I Gakhar, AB Kamani Proceedings of the Third International Conference on AI-ML Systems, 1-5, 2023 | | 2023 |
| ReFuSeg: Regularized Multi-Modal Fusion for Precise Brain Tumour Segmentation A Kasliwal, S Sagaram, L Srivastava, P Seth, A Khan arXiv preprint arXiv:2308.13883, 2023 | | 2023 |
| Solar Panel Segmentation: Self-Supervised Learning Solutions for Imperfect Datasets S Sagaram, L Srivastava, K Didwania, A Kasliwal, P Kailas, U Verma The Second Tiny Papers Track at ICLR 2024, 0 | | |
Pratinav SethIndependent AI Researcher在 ieee.org 的电子邮件经过验证
