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20242026
most citedH-SemiS: Hierarchical Fusion of Semi and Self-Supervised Learning for Knee Osteoarthritis Severity Grading

2 citations · 2 across the 1 of their papers we have counts for

collaborators

10 papers

cs.CV20262 cited

H-SemiS: Hierarchical Fusion of Semi and Self-Supervised Learning for Knee Osteoarthritis Severity Grading

Chandravardhan Singh Raghaw, Anushka Parwal, Shahid Shafi Dar +2

Knee osteoarthritis (KOA) is a degenerative joint disease that can lead to chronic pain, reduced mobility, and long-term disability. Automated severity grading from knee radiograph…

cs.CL2026

Large Language Models Meet Stance Detection: A Survey of Tasks, Methods, Applications, Challenges and Future Directions

Lata Pangtey, Anukriti Bhatnagar, Shubhi Bansal +2

Stance detection is essential for understanding subjective content across various platforms such as social media, news articles, and online reviews. Recent advances in Large Langua…

cs.CV2025

D-HUMOR: Dark Humor Understanding via Multimodal Open-ended Reasoning -- A Benchmark Dataset and Method

Sai Kartheek Reddy Kasu, Mohammad Zia Ur Rehman, Shahid Shafi Dar +3

Dark humor in online memes poses unique challenges due to its reliance on implicit, sensitive, and culturally contextual cues. To address the lack of resources and methods for dete…

cs.CY2025

A social context-aware graph-based multimodal attentive learning framework for disaster content classification during emergencies: a benchmark dataset and method

Shahid Shafi Dar, Mohammad Zia Ur Rehman, Karan Bais +2

In times of crisis, the prompt and precise classification of disaster-related information shared on social media platforms is crucial for effective disaster response and public saf…

cs.CV2025

A multi-temporal multi-spectral attention-augmented deep convolution neural network with contrastive learning for crop yield prediction

Shalini Dangi, Surya Karthikeya Mullapudi, Chandravardhan Singh Raghaw +3

Precise yield prediction is essential for agricultural sustainability and food security. However, climate change complicates accurate yield prediction by affecting major factors su…

cs.CV2025

Two Stage Context Learning with Large Language Models for Multimodal Stance Detection on Climate Change

Lata Pangtey, Omkar Kabde, Shahid Shafi Dar +1

With the rapid proliferation of information across digital platforms, stance detection has emerged as a pivotal challenge in social media analysis. While most of the existing appro…