139 citations · 303 across the 26 of their papers we have counts for
30 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…
Efficient Neural Architecture Search for Emotion Recognition
Monu Verma, Murari Mandal, Satish Kumar Reddy +2
Automated human emotion recognition from facial expressions is a well-studied problem and still remains a very challenging task. Some efficient or accurate deep learning models hav…
Deep Insights of Learning based Micro Expression Recognition: A Perspective on Promises, Challenges and Research Needs
Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh
Micro expression recognition (MER) is a very challenging area of research due to its intrinsic nature and fine-grained changes. In the literature, the problem of MER has been solve…
RARITYNet: Rarity Guided Affective Emotion Learning Framework
Monu Verma, Santosh Kumar Vipparthi
Inspired from the assets of handcrafted and deep learning approaches, we proposed a RARITYNet: RARITY guided affective emotion learning framework to learn the appearance features a…
Cross-Centroid Ripple Pattern for Facial Expression Recognition
Monu Verma, Prafulla Saxena, Santosh Kumar Vipparthi +1
In this paper, we propose a new feature descriptor Cross-Centroid Ripple Pattern (CRIP) for facial expression recognition. CRIP encodes the transitional pattern of a facial express…
One for All: An End-to-End Compact Solution for Hand Gesture Recognition
Monu Verma, Ayushi Gupta, santosh kumar Vipparthi
The HGR is a quite challenging task as its performance is influenced by various aspects such as illumination variations, cluttered backgrounds, spontaneous capture, etc. The conven…
An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs
Murari Mandal, Santosh Kumar Vipparthi
Visual change detection, aiming at segmentation of video frames into foreground and background regions, is one of the elementary tasks in computer vision and video analytics. The a…
AffectiveNet: Affective-Motion Feature Learningfor Micro Expression Recognition
Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh
Micro-expressions are hard to spot due to fleeting and involuntary moments of facial muscles. Interpretation of micro emotions from video clips is a challenging task. In this paper…
MOR-UAV: A Benchmark Dataset and Baselines for Moving Object Recognition in UAV Videos
Murari Mandal, Lav Kush Kumar, Santosh Kumar Vipparthi
Visual data collected from Unmanned Aerial Vehicles (UAVs) has opened a new frontier of computer vision that requires automated analysis of aerial images/videos. However, the exist…
Non-Linearities Improve OrigiNet based on Active Imaging for Micro Expression Recognition
Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh
Micro expression recognition (MER)is a very challenging task as the expression lives very short in nature and demands feature modeling with the involvement of both spatial and temp…
3DFR: A Swift 3D Feature Reductionist Framework for Scene Independent Change Detection
Murari Mandal, Vansh Dhar, Abhishek Mishra +1
In this paper we propose an end-to-end swift 3D feature reductionist framework (3DFR) for scene independent change detection. The 3DFR framework consists of three feature streams:…
3D CNN with Localized Residual Connections for Hyperspectral Image Classification
Shivangi Dwivedi, Murari Mandal, Shekhar Yadav +1
In this paper we propose a novel 3D CNN network with localized residual connections for hyperspectral image classification. Our work chalks a comparative study with the existing me…
SSSDET: Simple Short and Shallow Network for Resource Efficient Vehicle Detection in Aerial Scenes
Murari Mandal, Manal Shah, Prashant Meena +1
Detection of small-sized targets is of paramount importance in many aerial vision-based applications. The commonly deployed low cost unmanned aerial vehicles (UAVs) for aerial scen…
AVDNet: A Small-Sized Vehicle Detection Network for Aerial Visual Data
Murari Mandal, Manal Shah, Prashant Meena +2
Detection of small-sized targets in aerial views is a challenging task due to the smallness of vehicle size, complex background, and monotonic object appearances. In this letter, w…
Challenges in Time-Stamp Aware Anomaly Detection in Traffic Videos
Kuldeep Marotirao Biradar, Ayushi Gupta, Murari Mandal +1
Time-stamp aware anomaly detection in traffic videos is an essential task for the advancement of the intelligent transportation system. Anomaly detection in videos is a challenging…