activity
20182026
most citedAVisT: A Benchmark for Visual Object Tracking in Adverse Visibility

10 citations · 18 across the 14 of their papers we have counts for

collaborators

16 papers

cs.CV2026

Low Light Image Enhancement Challenge at NTIRE 2026

George Ciubotariu, Sharif S M A, Abdur Rehman +90

This paper presents a comprehensive review of the NTIRE 2026 Low Light Image Enhancement Challenge, highlighting the proposed solutions and final results. The objective of this cha…

cs.CV2026

Robust Deepfake Detection, NTIRE 2026 Challenge: Report

Benedikt Hopf, Radu Timofte, Chenfan Qu +54

Robustness is a long-overlooked problem in deepfake detection. However, detection performance is nearly worthless in the real world if it suffers under exposure to even slight imag…

cs.CV2026

The Fourth Challenge on Image Super-Resolution (4) at NTIRE 2026: Benchmark Results and Method Overview

Zheng Chen, Kai Liu, Jingkai Wang +150

This paper presents the NTIRE 2026 image super-resolution (4) challenge, one of the associated competitions of the NTIRE 2026 Workshop at CVPR 2026. The challenge aims to r…

cs.CV2026

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild

Aleksandr Gushchin, Khaled Abud, Ekaterina Shumitskaya +51

This paper presents an overview of the NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild, held in conjunction with the NTIRE workshop at CVPR 2026. The goal o…

cs.CV2025

Clear Roads, Clear Vision: Advancements in Multi-Weather Restoration for Smart Transportation

Vijay M. Galshetwar, Praful Hambarde, Prashant W. Patil +2

Adverse weather conditions such as haze, rain, and snow significantly degrade the quality of images and videos, posing serious challenges to intelligent transportation systems (ITS…

cs.CV2025★ 1 cited

ThinkGeo: Evaluating Tool-Augmented Agents for Remote Sensing Tasks

Akashah Shabbir, Muhammad Akhtar Munir, Akshay Dudhane +6

Recent progress in large language models (LLMs) has enabled tool-augmented agents capable of solving complex real-world tasks through step-by-step reasoning. However, existing eval…

cs.CV2025

The Tenth NTIRE 2025 Image Denoising Challenge Report

Lei Sun, Hang Guo, Bin Ren +91

This paper presents an overview of the NTIRE 2025 Image Denoising Challenge (σ = 50), highlighting the proposed methodologies and corresponding results. The primary objective is to…

cs.CV2025

The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report

Bin Ren, Hang Guo, Lei Sun +143

This paper presents a comprehensive review of the NTIRE 2025 Challenge on Single-Image Efficient Super-Resolution (ESR). The challenge aimed to advance the development of deep mode…

cs.CV2025★ 2 cited

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results

Zheng Chen, Kai Liu, Jue Gong +108

This paper presents the NTIRE 2025 image super-resolution (4) challenge, one of the associated competitions of the 10th NTIRE Workshop at CVPR 2025. The challenge aims to r…

cs.CV2024

EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues

Sagar Soni, Akshay Dudhane, Hiyam Debary +8

Automated analysis of vast Earth observation data via interactive Vision-Language Models (VLMs) can unlock new opportunities for environmental monitoring, disaster response, and {r…

cs.CV2024★ 3 cited

Dynamic Pre-training: Towards Efficient and Scalable All-in-One Image Restoration

Akshay Dudhane, Omkar Thawakar, Syed Waqas Zamir +3

All-in-one image restoration tackles different types of degradations with a unified model instead of having task-specific, non-generic models for each degradation. The requirement…

cs.CV2023

Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement

Nancy Mehta, Akshay Dudhane, Subrahmanyam Murala +3

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 hav…

cs.CV2023★ 2 cited

Burstormer: Burst Image Restoration and Enhancement Transformer

Akshay Dudhane, Syed Waqas Zamir, Salman Khan +2

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 misalig…

cs.CV2022★ 10 cited

AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility

Mubashir Noman, Wafa Al Ghallabi, Daniya Najiha +7

One of the key factors behind the recent success in visual tracking is the availability of dedicated benchmarks. While being greatly benefiting to the tracking research, existing b…

cs.CV2021

Burst Image Restoration and Enhancement

Akshay Dudhane, Syed Waqas Zamir, Salman Khan +2

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…

cs.CV2018

C2MSNet: A Novel approach for single image haze removal

Akshay Dudhane, Subrahmanyam Murala

Degradation of image quality due to the presence of haze is a very common phenomenon. Existing DehazeNet [3], MSCNN [11] tackled the drawbacks of hand crafted haze relevant feature…