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20162026
most citedApplying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction

79 citations · 447 across the 119 of their papers we have counts for

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Showing 2023Show all

13 papers · 1 filter

cs.CV2023

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…

cs.LG2023★ 2 cited

Exploring Graph Neural Networks for Indian Legal Judgment Prediction

Mann Khatri, Mirza Yusuf, Yaman Kumar +2

The burdensome impact of a skewed judges-to-cases ratio on the judicial system manifests in an overwhelming backlog of pending cases alongside an ongoing influx of new ones. To tac…

eess.AS2023

Partial Rank Similarity Minimization Method for Quality MOS Prediction of Unseen Speech Synthesis Systems in Zero-Shot and Semi-supervised setting

Hemant Yadav, Erica Cooper, Junichi Yamagishi +2

This paper introduces a novel objective function for quality mean opinion score (MOS) prediction of unseen speech synthesis systems. The proposed function measures the similarity o…

cs.CL2023

Long-Term Ad Memorability: Understanding & Generating Memorable Ads

Harini SI, Somesh Singh, Yaman K Singla +5

Despite the importance of long-term memory in marketing and brand building, until now, there has been no large-scale study on the memorability of ads. All previous memorability stu…

cs.CL2023★ 1 cited

Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior

Ashmit Khandelwal, Aditya Agrawal, Aanisha Bhattacharyya +8

Shannon and Weaver's seminal information theory divides communication into three levels: technical, semantic, and effectiveness. While the technical level deals with the accurate r…

cs.CL2023★ 6 cited

Advancements in Scientific Controllable Text Generation Methods

Arnav Goel, Medha Hira, Avinash Anand +2

The previous work on controllable text generation is organized using a new schema we provide in this study. Seven components make up the schema, and each one is crucial to the crea…

cs.CL2023

CiteCaseLAW: Citation Worthiness Detection in Caselaw for Legal Assistive Writing

Mann Khatri, Pritish Wadhwa, Gitansh Satija +4

In legal document writing, one of the key elements is properly citing the case laws and other sources to substantiate claims and arguments. Understanding the legal domain and ident…

cs.CV2023★ 1 cited

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…

cs.CV2023

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…

cs.CV2023

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.…

cs.SD2023

Analysing the Masked predictive coding training criterion for pre-training a Speech Representation Model

Hemant Yadav, Sunayana Sitaram, Rajiv Ratn Shah

Recent developments in pre-trained speech representation utilizing self-supervised learning (SSL) have yielded exceptional results on a variety of downstream tasks. One such techni…

cs.CL2023★ 1 cited

H-AES: Towards Automated Essay Scoring for Hindi

Shubhankar Singh, Anirudh Pupneja, Shivaansh Mital +7

The use of Natural Language Processing (NLP) for Automated Essay Scoring (AES) has been well explored in the English language, with benchmark models exhibiting performance comparab…

cs.LG2023

On Comparing Fair Classifiers under Data Bias

Mohit Sharma, Amit Deshpande, Rajiv Ratn Shah

In this paper, we consider a theoretical model for injecting data bias, namely, under-representation and label bias (Blum & Stangl, 2019). We empirically study the effect of varyin…