Akshay Dudhane — accepted AI-conference papers

2025

EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues

Sagar Soni, Akshay Dudhane, Hiyam Debary, Mustansar Fiaz, Muhammad Akhtar Munir, Muhammad Sohail Danish +5

CVPR 2025poster

Automated analysis of vast Earth observation data via interactive Vision-Language Models (VLMs) can unlock new opportunities for environmental monitoring, disaster response, and resource management. Existing generic VLMs do not perform well on Remote Sensing data, while the recent Geo-spatial VLMs r…

Cited by 6 Source ↗PDF ↗code ↗Scholar ↗

2023

Burstormer: Burst Image Restoration and Enhancement Transformer

Akshay Dudhane, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang

CVPR 2023poster

On a shutter press, modern handheld cameras capture multiple images in rapid succession and merge them to generate a single image. However, individual frames in a burst are misaligned due to inevitable motions and contain multiple degradations. The challenge is to properly align the successive image…

Cited by 43 Source ↗PDF ↗code ↗Scholar ↗

2023

Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement

Nancy Mehta, Akshay Dudhane, Subrahmanyam Murala, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan

CVPR 2023poster

Burst image processing is becoming increasingly popular in recent years. However, it is a challenging task since individual burst images undergo multiple degradations and often have mutual misalignments resulting in ghosting and zipper artifacts. Existing burst restoration methods usually do not con…

Cited by 14 Source ↗PDF ↗code ↗Scholar ↗

2022

Burst Image Restoration and Enhancement

Akshay Dudhane, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang

CVPR 2022oral

Modern handheld devices can acquire burst image sequence in a quick succession. However, the individual acquired frames suffer from multiple degradations and are misaligned due to camera shake and object motions. The goal of Burst Image Restoration is to effectively combine complimentary cues across…

Cited by 130 PDF ↗code ↗Scholar ↗

2020

An End-to-End Edge Aggregation Network for Moving Object Segmentation

Prashant W. Patil, Kuldeep M. Biradar, Akshay Dudhane, Subrahmanyam Murala

CVPR 2020poster

Moving object segmentation in videos (MOS) is a highly demanding task for security-based applications like automated outdoor video surveillance. Most of the existing techniques proposed for MOS are highly depend on fine-tuning a model on the first frame(s) of test sequence or complicated training pr…

Cited by 79 PDF ↗Scholar ↗

2020

Varicolored Image De-Hazing

Akshay Dudhane, Kuldeep M. Biradar, Prashant W. Patil, Praful Hambarde, Subrahmanyam Murala

CVPR 2020poster

The quality of images captured in bad weather is often affected by chromatic casts and low visibility due to the presence of atmospheric particles. Restoration of the color balance is often ignored in most of the existing image de-hazing methods. In this paper, we propose a varicolored end-to-end im…

Cited by 61 PDF ↗Scholar ↗