79 citations · 447 across the 119 of their papers we have counts for
19 papers · 1 filter
dKFD: Phase-Structured Evidence Allocation for Fixed-Budget Localized Event Understanding
Aditya Bagri, Ashutosh Kumar, Chaitanya Lakhchaura +3
Sparse video understanding often requires selecting a small set of visual evidence under a fixed frame budget. Most sparse selectors allocate this budget globally, allowing all fra…
NutriVision: Ingredient-Conditioned Fusion and Prediction for Single-Image Food Nutrition Estimation
Aman Kumar, Avinash Anand, Chaitanya Lakhchaura +5
Nutrition estimation is a fundamental task in consumer diet tracking, clinical dietetics, chronic disease management, sports and hospital nutrition, and broader food computing syst…
Enhancing Scientific Visual Question Answering via Vision-Caption aware Supervised Fine-Tuning
Janak Kapuriya, Anwar Shaikh, Arnav Goel +8
In this study, we introduce Vision-Caption aware Supervised FineTuning (VCASFT), a novel learning paradigm designed to enhance the performance of smaller Vision Language Models(VLM…
Keystroke Dynamics Against Academic Dishonesty in the Age of LLMs
Debnath Kundu, Atharva Mehta, Rajesh Kumar +4
The transition to online examinations and assignments raises significant concerns about academic integrity. Traditional plagiarism detection systems often struggle to identify inst…
Teaching Human Behavior Improves Content Understanding Abilities Of LLMs
Somesh Singh, Harini S, Yaman K Singla +4
Communication is defined as "Who says what to whom with what effect". A message from a communicator generates downstream receiver effects, also known as behavior. Receiver behavior…
TC-OCR: TableCraft OCR for Efficient Detection & Recognition of Table Structure & Content
Avinash Anand, Raj Jaiswal, Pijush Bhuyan +5
The automatic recognition of tabular data in document images presents a significant challenge due to the diverse range of table styles and complex structures. Tables offer valuable…
RanLayNet: A Dataset for Document Layout Detection used for Domain Adaptation and Generalization
Avinash Anand, Raj Jaiswal, Mohit Gupta +7
Large ground-truth datasets and recent advances in deep learning techniques have been useful for layout detection. However, because of the restricted layout diversity of these data…
Behavior Optimized Image Generation
Varun Khurana, Yaman K Singla, Jayakumar Subramanian +4
The last few years have witnessed great success on image generation, which has crossed the acceptance thresholds of aesthetics, making it directly applicable to personal and commer…
A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero Shot
Aanisha Bhattacharya, Yaman K Singla, Balaji Krishnamurthy +2
Multimedia content, such as advertisements and story videos, exhibit a rich blend of creativity and multiple modalities. They incorporate elements like text, visuals, audio, and st…
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser
Astha Verma, A V Subramanyam, Siddhesh Bangar +3
Certified defense methods against adversarial perturbations have been recently investigated in the black-box setting with a zeroth-order (ZO) perspective. However, these methods su…
Emotionally Enhanced Talking Face Generation
Sahil Goyal, Shagun Uppal, Sarthak Bhagat +3
Several works have developed end-to-end pipelines for generating lip-synced talking faces with various real-world applications, such as teaching and language translation in videos.…
FaIRCoP: Facial Image Retrieval using Contrastive Personalization
Devansh Gupta, Aditya Saini, Drishti Bhasin +5
Retrieving facial images from attributes plays a vital role in various systems such as face recognition and suspect identification. Compared to other image retrieval tasks, facial…
LIFI: Towards Linguistically Informed Frame Interpolation
Aradhya Neeraj Mathur, Devansh Batra, Yaman Kumar +2
In this work, we explore a new problem of frame interpolation for speech videos. Such content today forms the major form of online communication. We try to solve this problem by us…
PAI-BPR: Personalized Outfit Recommendation Scheme with Attribute-wise Interpretability
Dikshant Sagar, Jatin Garg, Prarthana Kansal +3
Fashion is an important part of human experience. Events such as interviews, meetings, marriages, etc. are often based on clothing styles. The rise in the fashion industry and its…
Addressing the Cold-Start Problem in Outfit Recommendation Using Visual Preference Modelling
Dhruv Verma, Kshitij Gulati, Rajiv Ratn Shah
With the global transformation of the fashion industry and a rise in the demand for fashion items worldwide, the need for an effectual fashion recommendation has never been more. D…
On the Inference of Soft Biometrics from Typing Patterns Collected in a Multi-device Environment
Vishaal Udandarao, Mohit Agrawal, Rajesh Kumar +1
In this paper, we study the inference of gender, major/minor (computer science, non-computer science), typing style, age, and height from the typing patterns collected from 117 ind…
C3VQG: Category Consistent Cyclic Visual Question Generation
Shagun Uppal, Anish Madan, Sarthak Bhagat +2
Visual Question Generation (VQG) is the task of generating natural questions based on an image. Popular methods in the past have explored image-to-sequence architectures trained wi…
Kiki Kills: Identifying Dangerous Challenge Videos from Social Media
Nupur Baghel, Yaman Kumar, Paavini Nanda +3
There has been upsurge in the number of people participating in challenges made popular through social media channels. One of the examples of such a challenge is the Kiki Challenge…
A Multimodal Approach to Predict Social Media Popularity
Mayank Meghawat, Satyendra Yadav, Debanjan Mahata +3
Multiple modalities represent different aspects by which information is conveyed by a data source. Modern day social media platforms are one of the primary sources of multimodal da…