Eashan Adhikarla

12 papers Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
RemEdit: Efficient Diffusion Editing with Riemannian Geometry.
CoRR
Eashan Adhikarla, Brian D. Davison
2025 J jnl
Diffusion Models for Low-Light Image Enhancement: A Multi-Perspective Taxonomy and Performance Analysis.
CoRR
Eashan Adhikarla, Yixin Liu, Brian D. Davison
2025 J jnl
LENVIZ: A High-Resolution Low-Exposure Night Vision Benchmark Dataset.
CoRR
Manjushree B. Aithal, Rosaura G. VidalMata, Manikandtan Kartha, Gong Chen, Eashan Adhikarla, Lucas N. Kirsten, Zhicheng Fu, Nikhil Ambha Madhusudhana, Joe Nasti
2024 J jnl
ExpoMamba: Exploiting Frequency SSM Blocks for Efficient and Effective Image Enhancement.
CoRR
Eashan Adhikarla, Kai Zhang, John W. Nicholson, Brian D. Davison
2024 — conf
Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure Image Enhancement.
ICPR (29)
Eashan Adhikarla, Kai Zhang, Rosaura G. VidalMata, Manjushree B. Aithal, Nikhil Ambha Madhusudhana, John W. Nicholson, Lichao Sun, Brian D. Davison
2024 J jnl
Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure Image Enhancement.
CoRR
Eashan Adhikarla, Kai Zhang, Rosaura G. VidalMata, Manjushree B. Aithal, Nikhil Ambha Madhusudhana, John W. Nicholson, Lichao Sun, Brian D. Davison
2024 J jnl
Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras.
CoRR
Jun Yu, Yutong Dai, Xiaokang Liu, Jin Huang, Yishan Shen, Ke Zhang, Rong Zhou, Eashan Adhikarla, Wenxuan Ye, Yixin Liu, Zhaoming Kong, Kai Zhang, Yilong Yin, Vinod Namboodiri, Brian D. Davison, Jason H. Moore, Yong Chen
2023 J jnl
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks.
CoRR
Kai Zhang, Jun Yu, Zhiling Yan, Yixin Liu, Eashan Adhikarla, Sunyang Fu, Xun Chen, Chen Chen, Yuyin Zhou, Xiang Li, Lifang He, Brian D. Davison, Quanzheng Li, Yong Chen, Hongfang Liu, Lichao Sun
2023 J jnl
Robust Computer Vision in an Ever-Changing World: A Survey of Techniques for Tackling Distribution Shifts.
CoRR
Eashan Adhikarla, Kai Zhang, Jun Yu, Lichao Sun, John W. Nicholson, Brian D. Davison
2022 J jnl
Memory Defense: More Robust Classification via a Memory-Masking Autoencoder.
CoRR
Eashan Adhikarla, Dan Luo, Brian D. Davison
2021 — conf
Exploring the BBRv2 Congestion Control Algorithm for use on Data Transfer Nodes.
INDIS@SC
Brian Tierney, Eli Dart, Ezra Kissel, Eashan Adhikarla
2021 — conf
Face Mask Detection on Real-World Webcam Images.
GoodIT
Eashan Adhikarla, Brian D. Davison