139 citations · 233 across the 14 of their papers we have counts for
19 papers
PhasorNet: Learning Structure from Frequency for Real-Time Stereo Matching
Md Raqib Khan, Santosh Kumar Vipparthi, Subrahmanyam Murala
Accurate stereo matching remains challenging in ill-posed regions such as fine structures, reflective, or transparent objects, where appearance cues are often ambiguous or unreliab…
SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark
Sania Bano, Shahzad Ahmad, Santosh Kumar Vipparthi +2
Understanding human emotions in spoken conversations is a key challenge in affective computing, with applications in empathetic AI, human computer interaction, and mental health mo…
LiteMatch: Lightweight Zero-Shot Stereo Matching via Cost Volume Stabilization
Md Raqib Khan, Santosh Kumar Vipparthi, Subrahmanyam Murala
Despite rapid progress in learning-based stereo matching, high accuracy is often achieved at the cost of heavy backbones and computationally intensive 3D cost volume processing, re…
NTIRE 2026 Rip Current Detection and Segmentation (RipDetSeg) Challenge Report
Andrei Dumitriu, Aakash Ralhan, Florin Miron +32
This report presents the NTIRE 2026 Rip Current Detection and Segmentation (RipDetSeg) Challenge, which targets automatic rip current understanding in images. Rip currents are haza…
NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results
Xiaoning Liu, Zongwei Wu, Florin-Alexandru Vasluianu +102
This paper presents a comprehensive review of the NTIRE 2025 Low-Light Image Enhancement (LLIE) Challenge, highlighting the proposed solutions and final outcomes. The objective of…
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…
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…
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…
Phaseformer: Phase-based Attention Mechanism for Underwater Image Restoration and Beyond
MD Raqib Khan, Anshul Negi, Ashutosh Kulkarni +3
Quality degradation is observed in underwater images due to the effects of light refraction and absorption by water, leading to issues like color cast, haziness, and limited visibi…
MIPI 2024 Challenge on Nighttime Flare Removal: Methods and Results
Yuekun Dai, Dafeng Zhang, Xiaoming Li +60
The increasing demand for computational photography and imaging on mobile platforms has led to the widespread development and integration of advanced image sensors with novel algor…
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…
Hyperrealistic Image Inpainting with Hypergraphs
Gourav Wadhwa, Abhinav Dhall, Subrahmanyam Murala +1
Image inpainting is a non-trivial task in computer vision due to multiple possibilities for filling the missing data, which may be dependent on the global information of the image.…
LEARNet Dynamic Imaging Network for Micro Expression Recognition
Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh +1
Unlike prevalent facial expressions, micro expressions have subtle, involuntary muscle movements which are short-lived in nature. These minute muscle movements reflect true emotion…
Multichannel Distributed Local Pattern for Content Based Indexing and Retrieval
Sonakshi Mathur, Mallika Chaudhary, Hemant Verma +3
A novel color feature descriptor, Multichannel Distributed Local Pattern (MDLP) is proposed in this manuscript. The MDLP combines the salient features of both local binary and loca…
CANDID: Robust Change Dynamics and Deterministic Update Policy for Dynamic Background Subtraction
Murari Mandal, Prafulla Saxena, Santosh Kumar Vipparthi +1
Background subtraction in video provides the preliminary information which is essential for many computer vision applications. In this paper, we propose a sequence of approaches na…
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…
A Novel Feature Descriptor for Image Retrieval by Combining Modified Color Histogram and Diagonally Symmetric Co-occurrence Texture Pattern
Ayan Kumar Bhunia, Avirup Bhattacharyya, Prithaj Banerjee +2
In this paper, we have proposed a novel feature descriptors combining color and texture information collectively. In our proposed color descriptor component, the inter-channel rela…
Fractional Local Neighborhood Intensity Pattern for Image Retrieval using Genetic Algorithm
Shuvozit Ghose, Abhirup Das, Ayan Kumar Bhunia +1
In this paper, a new texture descriptor named "Fractional Local Neighborhood Intensity Pattern" (FLNIP) has been proposed for content based image retrieval (CBIR). It is an extensi…
Local Neighborhood Intensity Pattern: A new texture feature descriptor for image retrieval
Prithaj Banerjee, Ayan Kumar Bhunia, Avirup Bhattacharyya +2
In this paper, a new texture descriptor based on the local neighborhood intensity difference is proposed for content based image retrieval (CBIR). For computation of texture featur…