Search Results - "Tyagi, Utkarsh"

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  1. 1

    An Ultrathin Polarization Free Asterick-Shaped Metamaterial Absorber with Quad-Band Characteristics by Kumar Singh, Raghvenda, Gupta, Ashish, Yadav, Akash, Gupta, Nishchay, Tyagi, Utkarsh

    “…In this paper, a quad-band absorber is proposed and developed, which is exhibiting ultrathin and polarization insensitive behaviour. It has been designed to be…”
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    Journal Article
  2. 2

    Pesticides and Human Health: Antioxidants and Heat Shock Proteins as Modulators of Cell Survival Signal by Ahmed, Tanzeel, Mishra, Priyanka, Singh, Babita, Tyagi, Utkarsh, Banerjee, Basu Dev

    “…In the modern times, insecticides have grown to be an essential part of the atmosphere. Their full-size use in public health packages and agriculture has ended…”
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    Journal Article
  3. 3

    An ultra-thin quad-band metamaterial inspired absorber using symmetric bent-arrow shaped resonator for sensing and imaging in defense applications by Singh, Raghvenda Kumar, Gupta, Ashish, Sharma, Anand, Tyagi, Utkarsh, Gupta, Nishchay, Yadav, Akash

    Published in Materials research express (01-11-2020)
    “…In this paper, a novel compact quad-band polarization insensitive metamaterial absorber has been proposed to be employable in the microwave frequency regime…”
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    Journal Article
  4. 4

    Ultrafast, trace-level detection of NH3 gas at room temperature using hexagonal-shaped ZnO nanoparticles grown by novel green synthesis technique by Nagar, Anshika, Kumar, Avshish, Tyagi, Utkarsh, Dhasmana, Hrishikesh, Khan, M.A. Majeed, Husain, Samina, Verma, Abhishek, Jain, V.K.

    Published in Physica. B, Condensed matter (01-02-2022)
    “…Herein, an ultrafast, sensor has been developed for trace-level detection of Ammonia (NH3) gas using hexagonal-shaped ZnO nanoparticles (NPs). The ZnO NPs were…”
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    Journal Article
  5. 5
  6. 6

    mFlameGaze: Mobile-Based Flame Gazing for Improving Sustained Attention by Sethia, Divyashikha, Parihar, Anil Singh, Ghosh, Aheli, Grover, Tanish, Diwakar, Deep, Kumar, Shivam, Tyagi, Utkarsh

    “…Yogic visual concentration techniques have proved to create a long term effect on mindfulness in adults. However, none of the existing gaze detection platforms…”
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    Conference Proceeding
  7. 7

    A Hybrid Approach of ANN-GWO Technique for Intrusion Detection by Sharma, Anushka, Tyagi, Utkarsh

    “…As informed individuals, while keeping ourselves updated with the whereabouts of the world, we often come across news articles with bold headlines outlining…”
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    Conference Proceeding
  8. 8

    Do Vision-Language Models Understand Compound Nouns? by Kumar, Sonal, Ghosh, Sreyan, Sakshi, S, Tyagi, Utkarsh, Manocha, Dinesh

    Published 30-03-2024
    “…Open-vocabulary vision-language models (VLMs) like CLIP, trained using contrastive loss, have emerged as a promising new paradigm for text-to-image retrieval…”
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    Journal Article
  9. 9

    CNN based Variation and Prediction Analysis of 2m Air Temperature for Different Zones of the Indian Region by Patel, Shivani, Patel, Jitali, Tyagi, Utkarsh

    “…Time series forecasting is a method that predicts future values by analyzing past values. Temperature alarms are valuable predictions because they are used to…”
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    Conference Proceeding
  10. 10

    BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NER by Ghosh, Sreyan, Tyagi, Utkarsh, Kumar, Sonal, Manocha, Dinesh

    Published 17-05-2023
    “…Biomedical Named Entity Recognition (BioNER) is the fundamental task of identifying named entities from biomedical text. However, BioNER suffers from severe…”
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    Journal Article
  11. 11

    LipGER: Visually-Conditioned Generative Error Correction for Robust Automatic Speech Recognition by Ghosh, Sreyan, Kumar, Sonal, Seth, Ashish, Chiniya, Purva, Tyagi, Utkarsh, Duraiswami, Ramani, Manocha, Dinesh

    Published 06-06-2024
    “…Visual cues, like lip motion, have been shown to improve the performance of Automatic Speech Recognition (ASR) systems in noisy environments. We propose LipGER…”
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    Journal Article
  12. 12

    ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions by Ghosh, Sreyan, Tyagi, Utkarsh, Kumar, Sonal, Evuru, C. K, Ramaneswaran, S, Sakshi, S, Manocha, Dinesh

    Published 06-06-2024
    “…We present ABEX, a novel and effective generative data augmentation methodology for low-resource Natural Language Understanding (NLU) tasks. ABEX is based on…”
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    Journal Article
  13. 13

    Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMs by Ghosh, Sreyan, Evuru, Chandra Kiran Reddy, Kumar, Sonal, Tyagi, Utkarsh, Nieto, Oriol, Jin, Zeyu, Manocha, Dinesh

    Published 24-05-2024
    “…Large Vision-Language Models (LVLMs) often produce responses that misalign with factual information, a phenomenon known as hallucinations. While hallucinations…”
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    Journal Article
  14. 14

    CoDa: Constrained Generation based Data Augmentation for Low-Resource NLP by Evuru, Chandra Kiran Reddy, Ghosh, Sreyan, Kumar, Sonal, S, Ramaneswaran, Tyagi, Utkarsh, Manocha, Dinesh

    Published 30-03-2024
    “…We present CoDa (Constrained Generation based Data Augmentation), a controllable, effective, and training-free data augmentation technique for low-resource…”
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    Journal Article
  15. 15

    MMER: Multimodal Multi-task Learning for Speech Emotion Recognition by Ghosh, Sreyan, Tyagi, Utkarsh, Ramaneswaran, S, Srivastava, Harshvardhan, Manocha, Dinesh

    Published 31-03-2022
    “…In this paper, we propose MMER, a novel Multimodal Multi-task learning approach for Speech Emotion Recognition. MMER leverages a novel multimodal network based…”
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    Journal Article
  16. 16

    MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark by Sakshi, S, Tyagi, Utkarsh, Kumar, Sonal, Seth, Ashish, Selvakumar, Ramaneswaran, Nieto, Oriol, Duraiswami, Ramani, Ghosh, Sreyan, Manocha, Dinesh

    Published 24-10-2024
    “…The ability to comprehend audio--which includes speech, non-speech sounds, and music--is crucial for AI agents to interact effectively with the world. We…”
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    Journal Article
  17. 17

    DALE: Generative Data Augmentation for Low-Resource Legal NLP by Ghosh, Sreyan, Evuru, Chandra Kiran, Kumar, Sonal, Ramaneswaran, S, Sakshi, S, Tyagi, Utkarsh, Manocha, Dinesh

    Published 24-10-2023
    “…We present DALE, a novel and effective generative Data Augmentation framework for low-resource LEgal NLP. DALE addresses the challenges existing frameworks…”
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    Journal Article
  18. 18

    AdVerb: Visually Guided Audio Dereverberation by Chowdhury, Sanjoy, Ghosh, Sreyan, Dasgupta, Subhrajyoti, Ratnarajah, Anton, Tyagi, Utkarsh, Manocha, Dinesh

    Published 23-08-2023
    “…We present AdVerb, a novel audio-visual dereverberation framework that uses visual cues in addition to the reverberant sound to estimate clean audio. Although…”
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    Journal Article
  19. 19

    ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious Correlations by Ghosh, Sreyan, Evuru, Chandra Kiran Reddy, Kumar, Sonal, Tyagi, Utkarsh, Singh, Sakshi, Chowdhury, Sanjoy, Manocha, Dinesh

    Published 19-08-2023
    “…Neural image classifiers can often learn to make predictions by overly relying on non-predictive features that are spuriously correlated with the class labels…”
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    Journal Article
  20. 20

    GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities by Ghosh, Sreyan, Kumar, Sonal, Seth, Ashish, Evuru, Chandra Kiran Reddy, Tyagi, Utkarsh, Sakshi, S, Nieto, Oriol, Duraiswami, Ramani, Manocha, Dinesh

    Published 17-06-2024
    “…Perceiving and understanding non-speech sounds and non-verbal speech is essential to making decisions that help us interact with our surroundings. In this…”
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    Journal Article