Aditya Kasliwal

19 papers A* 1Journal 10Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
C-ΔΘ: Circuit-Restricted Weight Arithmetic for Selective Refusal.
CoRR
Aditya Kasliwal, Pratinav Seth, Vinay Kumar Sankarapu
2026 J jnl
LEMMA: Laplacian pyramids for Efficient Marine SeMAntic Segmentation.
CoRR
Ishaan Gakhar, Laven Srivastava, Sankarshanaa Sagaram, Aditya Kasliwal, Ujjwal Verma
2025 — conf
HiPyr: Harnessing HyperNetworks for Optimal Kernel Prediction in Laplacian Translation Networks for Contrast Enhancement.
SIGCSE (2)
Aravind Shenoy, Shaurya Singh Rathore, Krish Didwania, Aditya Kasliwal
2025 — conf
HipyrNet: Hypernet-Guided Feature Pyramid Network for Mixed-Exposure Correction.
WACV (Workshops)
Shaurya Singh Rathore, Aravind Shenoy, Krish Didwania, Aditya Kasliwal, Ujjwal Verma
2025 J jnl
HipyrNet: Hypernet-Guided Feature Pyramid network for mixed-exposure correction.
CoRR
Shaurya Singh Rathore, Aravind Shenoy, Krish Didwania, Aditya Kasliwal, Ujjwal Verma
2025 J jnl
Localizing and Mitigating Memorization in Image Autoregressive Models.
CoRR
Aditya Kasliwal, Franziska Boenisch, Adam Dziedzic
2024 J jnl
AgriLLM: Harnessing Transformers for Farmer Queries.
CoRR
Krish Didwania, Pratinav Seth, Aditya Kasliwal, Amit Agarwal
2024 A* conf
LaMAR: Laplacian Pyramid for Multimodal Adaptive Super Resolution (Student Abstract).
AAAI
Aditya Kasliwal, Aryan Kamani, Ishaan Gakhar, Pratinav Seth, Sriya Rallabandi
2024 J jnl
LapGSR: Laplacian Reconstructive Network for Guided Thermal Super-Resolution.
CoRR
Aditya Kasliwal, Ishaan Gakhar, Aryan Kamani, Pratinav Seth, Ujjwal Verma
2024 — conf
Sailing Through Spectra: Unveiling the Potential of Multi-Spectral Information in Marine Debris Segmentation.
Tiny Papers @ ICLR
Dyutit Mohanty, Aditya Kasliwal, Bharath Udupa, Pratinav Seth
2024 — conf
Solar Panel Segmentation: Self-Supervised Learning Solutions for Imperfect Datasets.
Tiny Papers @ ICLR
Sankarshanaa Sagaram, Laven Srivastava, Krish Didwania, Aditya Kasliwal, Pallavi Kailas, Ujjwal Verma
2024 J jnl
SolarPanel Segmentation : Self-Supervised Learning for Imperfect Datasets.
CoRR
Sankarshanaa Sagaram, Aditya Kasliwal, Krish Didwania, Laven Srivastava, Pallavi Kailas, Ujjwal Verma
2023 — conf
CoReFusion: Contrastive Regularized Fusion for Guided Thermal Super-Resolution.
CVPR Workshops
Aditya Kasliwal, Pratinav Seth, Sriya Rallabandi, Sanchit Singhal
2023 J jnl
CoReFusion: Contrastive Regularized Fusion for Guided Thermal Super-Resolution.
CoRR
Aditya Kasliwal, Pratinav Seth, Sriya Rallabandi, Sanchit Singhal
2023 — conf
CoReGAN: Contrastive Regularized Generative Adversarial Network for Guided Depth Map Super Resolution.
AIMLSystems
Aditya Kasliwal, Ishaan Gakhar, Aryan Bhavin Kamani
2023 — conf
Fed2Tier: A Two-Tier Federated Learning System Towards Green Computation.
AIMLSystems
Anupam Borthakur, Apoorva Srivastava, Aditya Kasliwal, Debdoot Sheet
2023 J jnl
ReFuSeg: Regularized Multi-Modal Fusion for Precise Brain Tumour Segmentation.
CoRR
Aditya Kasliwal, Sankarshanaa Sagaram, Laven Srivastava, Pratinav Seth, Adil Khan
2023 — conf
ReFuSeg: Regularized Multi-modal Fusion for Precise Brain Tumour Segmentation.
BrainLes/SWITCH@MICCAI
Aditya Kasliwal, Sankarshanaa Sagaram, Laven Srivastava, Pratinav Seth, Adil Khan
2022 J jnl
Performance evaluation of deep segmentation models on Landsat-8 imagery.
CoRR
Akshat Bhandari, Sriya Rallabandi, Sanchit Singhal, Aditya Kasliwal, Pratinav Seth