Information-theoretic performance of quadrature mirror filters. - Ajay Divakaran; William A. Pearlman (IEEE Trans. Inf. Theory, 1995)

Video compression by mean-corrected motion compensation of partial quadtrees. - Steve Calzone; Keshi Chen; Chih-Chwen Chuang; Ajay Divakaran; Simant Dube; Lyman Hurd; Jarkko Kari; Gang Liang; Fu-Huei Lin; John Muller; Hawley K. Rising III (IEEE Trans. Circuits Syst. Video Technol., 1997)

Scene change detection and feature extraction for MPEG-4 sequences. - Ajay Divakaran; Hiroshi Ito 003; Huifang Sun; Tommy Poon (Storage and Retrieval for Image and Video Databases (SPIE), 1999)

A Region Based Descriptor for Spatial Distribution of Motion Activity for Compressed Video. - Ajay Divakaran; Kadir A. Peker; Huifang Sun (ICIP, 2000)

Efficient Representation and Comparison of Multimedia Content using DAG-Composition. - I-Jong Lin; Ajay Divakaran; Anthony Vetro; Sun-Yuan Kung (IEEE International Conference on Multimedia and Expo (II), 2000)

Fade-in/out scene change detection in the MPEG-1/2/4 compressed video domain. - Ajay Divakaran; Hiroshi Ito 003; Huifang Sun; Tommy Poon (Storage and Retrieval for Media Databases, 2000)

Descriptor for spatial distribution of motion activity for compressed video. - Ajay Divakaran; Huifang Sun (Storage and Retrieval for Media Databases, 2000)

Video browsing system based on compressed domain feature extraction. - Ajay Divakaran; Anthony Vetro; Kohtaro Asai; Hirofumi Nishikawa (IEEE Trans. Consumer Electron., 2000)

An Overview of MPEG-7 Motion Descriptors and Their Applications. - Ajay Divakaran (CAIP, 2001)

Constant pace skimming and temporal sub-sampling of video using motion activity. - Ajay Divakaran; Kadir A. Peker; Huifang Sun (ICIP (3), 2001)

A Novel Pair-Wise Comparison Based Analytical Framework For Automatic Measurement Of Intensity Of Motion Activity Of Video Segments. - Kadir A. Peker; Ajay Divakaran (ICME, 2001)

Algorithms And System For Segmentation And Structure Analysis In Soccer Video. - Peng Xu; Lexing Xie; Shih-Fu Chang; Ajay Divakaran; Anthony Vetro; Huifang Sun (ICME, 2001)

A Motion Activity Descriptor and Its Extraction in Compressed Domain. - Xinding Sun; Ajay Divakaran; B. S. Manjunath (IEEE Pacific Rim Conference on Multimedia, 2001)

Video summarization using motion descriptors. - Ajay Divakaran; Kadir A. Peker; Huifang Sun (Storage and Retrieval for Media Databases, 2001)

Automatic measurement of intensity of motion activity of video segments. - Kadir A. Peker; Ajay Divakaran; Thomas V. Papathomas (Storage and Retrieval for Media Databases, 2001)

Video summarization using descriptors of motion activity: A motion activity based approach to key-frame extraction from video shots. - Ajay Divakaran; Regunathan Radhakrishnan; Kadir A. Peker (J. Electronic Imaging, 2001)

MPEG-7 visual motion descriptors. - Sylvie Jeannin; Ajay Divakaran (IEEE Trans. Circuits Syst. Video Technol., 2001)

Structure analysis of soccer video with hidden Markov models. - Lexing Xie; Shih-Fu Chang; Ajay Divakaran; Huifang Sun (ICASSP, 2002)

Motion activity-based extraction of key-frames from video shots. - Ajay Divakaran; Kadir A. Peker; Regunathan Radhakrishnan (ICIP (1), 2002)

Representation of motion activity in hierarchical levels for video indexing and filtering. - Xinding Sun; Ajay Divakaran; B. S. Manjunath (ICIP (1), 2002)

Data reduction procedure for principal cast and other talking head detection. - Ajay Divakaran; Regunathan Radhakrishnan (Storage and Retrieval for Media Databases, 2002)

Rapid generation of sports video highlights using the MPEG-7 motion activity descriptor. - Kadir A. Peker; Romain Cabasson; Ajay Divakaran (Storage and Retrieval for Media Databases, 2002)

Comparing MFCC and MPEG-7 audio features for feature extraction, maximum likelihood HMM and entropic prior HMM for sports audio classification. - Ziyou Xiong; Regunathan Radhakrishnan; Ajay Divakaran; Thomas S. Huang (ICASSP (5), 2003)

Audio events detection based highlights extraction from baseball, golf and soccer games in a unified framework. - Ziyou Xiong; Regunathan Radhakrishnan; Ajay Divakaran; Thomas S. Huang (ICASSP (5), 2003)

Feature selection for unsupervised discovery of statistical temporal structures in video. - Lexing Xie; Shih-Fu Chang; Ajay Divakaran; Huifang Sun (ICIP (1), 2003)

Generation of sports highlights using motion activity in combination with a common audio feature extraction framework. - Zixiang Xiong; Regunathan Radhakrishnan; Ajay Divakaran (ICIP (1), 2003)

Multi-camera calibration, object tracking and query generation. - Fatih Porikli; Ajay Divakaran (ICME, 2003)

Unsupervised discovery of multilevel statistical video structures using hierarchical hidden Markov models. - Lexing Xie; Shih-Fu Chang; Ajay Divakaran; Huifang Sun (ICME, 2003)

Automatic extraction of soccer video highlights using a combination of motion and audio features. - Romain Cabasson; Ajay Divakaran (Storage and Retrieval for Media Databases, 2003)

Procedure for audio-assisted browsing of news video using generalized sound recognition. - Ajay Divakaran; Regunathan Radhakrishnan; Ziyou Xiong; Michael Casey (Storage and Retrieval for Media Databases, 2003)

Survey of compressed-domain features used in audio-visual indexing and analysis. - Hualu Wang; Ajay Divakaran; Anthony Vetro; Shih-Fu Chang; Huifang Sun (J. Vis. Commun. Image Represent., 2003)

Video mining: pattern discovery versus pattern recognition. - Ajay Divakaran; Kadir A. Peker; Shih-Fu Chang; Regunathan Radhakrishnan; Lexing Xie (ICIP, 2004)

Discovering meaningful multimedia patterns with audio-visual concepts and associated text. - Lexing Xie; Lyndon S. Kennedy; Shih-Fu Chang; Ajay Divakaran; Huifang Sun; Ching-Yung Lin (ICIP, 2004)

Towards maximizing the end-user experience. - Ajay Divakaran; Anthony Vetro; T. Kan (ICME, 2004)

Adaptive fast playback-based video skimming using a compressed-domain visual complexity measure. - Kadir A. Peker; Ajay Divakaran (ICME, 2004)

Time series analysis and segmentation using eigenvectors for mining semantic audio label sequences. - Regunathan Radhakrishnan; Ziyou Xiong; Ajay Divakaran; T. Kan (ICME, 2004)

Effective and efficient sports highlights extraction using the minimum description length criterion in selecting GMM structures. - Ziyou Xiong; Regunathan Radhakrishnan; Ajay Divakaran; Thomas S. Huang (ICME, 2004)

A time series clustering based framework for multimedia mining and summarization using audio features. - Regunathan Radhakrishnan; Ajay Divakaran; Ziyou Xiong (Multimedia Information Retrieval, 2004)

Audio-Assisted Video Browsing for DVD Recorders. - Ajay Divakaran; Isao Otsuka; Regunathan Radhakrishnan; Kazuhiko Nakane; Masaharu Ogawa (PCM (2), 2004)

Video mining using combinations of unsupervised and supervised learning techniques. - Ajay Divakaran; Koji Miyahara; Kadir A. Peker; Regunathan Radhakrishnan; Ziyou Xiong (Storage and Retrieval Methods and Applications for Multimedia, 2004)

Audio-visual event detection based on mining of semantic audio-visual labels. - King-Shy Goh; Koji Miyahara; Regunathan Radhakrishnan; Ziyou Xiong; Ajay Divakaran (Storage and Retrieval Methods and Applications for Multimedia, 2004)

MPEG-7 meta-data enhanced encoder system for embedded systems. - Kohtaro Asai; Hirofumi Nishikawa; Daiki Kudo; Ajay Divakaran (VCIP, 2004)

Framework for measurement of the intensity of motion activity of video segments. - Kadir A. Peker; Ajay Divakaran (J. Vis. Commun. Image Represent., 2004)

Structure analysis of soccer video with domain knowledge and hidden Markov models. - Lexing Xie; Peng Xu; Shih-Fu Chang; Ajay Divakaran; Huifang Sun (Pattern Recognit. Lett., 2004)

Systematic acquisition of audio classes for elevator surveillance. - Regunathan Radhakrishnan; Ajay Divakaran (Electronic Imaging: Image and Video Communications and Processing, 2005)

Layered dynamic mixture model for pattern discovery in asynchronous multi-modal streams [video applications]. - Lexing Xie; Lyndon S. Kennedy; Shih-Fu Chang; Ajay Divakaran; Huifang Sun; Ching-Yung Lin (ICASSP (2), 2005)

Highlights extraction from sports video based on an audio-visual marker detection framework. - Ziyou Xiong; Regunathan Radhakrishnan; Ajay Divakaran; Thomas S. Huang (ICME, 2005)

Modeling sports highlights using a time-series clustering framework and model interpretation. - Regunathan Radhakrishnan; Isao Otsuka; Ziyou Xiong; Ajay Divakaran (Storage and Retrieval Methods and Applications for Multimedia, 2005)

A highlight scene detection and video summarization system using audio feature for a personal video recorder. - Isao Otsuka; Kazuhiko Nakane; Ajay Divakaran; Keiji Hatanaka; Masaharu Ogawa (IEEE Trans. Consumer Electron., 2005)

Generative Process Tracking for Audio Analysis. - Regunathan Radhakrishnan; Ajay Divakaran (ICASSP (5), 2006)

Broadcast Video Program Summarization using Face Tracks. - Kadir A. Peker; Isao Otsuka; Ajay Divakaran (ICME, 2006)

Sports Program Boundary Detection. - Regunathan Radhakrishnan; Ajay Divakaran; Isao Otsuka (ICME, 2006)

A Content-Adaptive Analysis and Representation Framework for Audio Event Discovery from "Unscripted" Multimedia. - Regunathan Radhakrishnan; Ajay Divakaran; Ziyou Xiong; Isao Otsuka (EURASIP J. Adv. Signal Process., 2006)

An enhanced video summarization system using audio features for a personal video recorder. - Isao Otsuka; Regunathan Radhakrishnan; Michael Siracusa; Ajay Divakaran; Hidetoshi Mishima (IEEE Trans. Consumer Electron., 2006)

An SVM Framework for Genre-Independent Scene Change Detection. - Naveen Goela; Kevin W. Wilson; Feng Niu; Ajay Divakaran; Isao Otsuka (ICME, 2007)

Detection of music segment boundaries using audio-visual features for a personal video recorder. - Isao Otsuka; Hidetsugu Suginohara; Yoshiaki Kusunoki; Ajay Divakaran (IEEE Trans. Consumer Electron., 2007)

Speech denoising using nonnegative matrix factorization with priors. - Kevin W. Wilson; Bhiksha Raj; Paris Smaragdis; Ajay Divakaran (ICASSP, 2008)

Recognition and volume estimation of food intake using a mobile device. - Manika Puri; Zhiwei Zhu; Qian Yu; Ajay Divakaran; Harpreet S. Sawhney (WACV, 2009)

On the Applicability of Speaker Diarization to Audio Concept Detection for Multimedia Retrieval. - Robert Mertens 003; Po-Sen Huang; Luke R. Gottlieb; Gerald Friedland; Ajay Divakaran (ISM, 2011)

Team SRI-Sarnoff's AURORA System @ TRECVID 2011. - Hui Cheng; Amir Tamrakar; Saad Ali; Qian Yu; Omar Javed; Jingen Liu; Ajay Divakaran; Harpreet S. Sawhney; Alexander G. Hauptmann; Mubarak Shah; Subhabrata Bhattacharya; Michael Witbrock; et al. (TRECVID, 2011)

Evaluation of low-level features and their combinations for complex event detection in open source videos. - Amir Tamrakar; Saad Ali; Qian Yu; Jingen Liu; Omar Javed; Ajay Divakaran; Hui Cheng; Harpreet S. Sawhney (CVPR, 2012)

How to put it into words - using random forests to extract symbol level descriptions from audio content for concept detection. - Po-Sen Huang; Robert Mertens 003; Ajay Divakaran; Gerald Friedland; Mark Hasegawa-Johnson (ICASSP, 2012)

Multimedia event recounting with concept based representation. - Qian Yu; Jingen Liu; Hui Cheng; Ajay Divakaran; Harpreet S. Sawhney (ACM Multimedia, 2012)

SRI-Sarnoff AURORA System at TRECVID 2012 Multimedia Event Detection and Recounting. - Hui Cheng; Jingen Liu; Saad Ali; Omar Javed; Qian Yu; Amir Tamrakar; Ajay Divakaran; Harpreet S. Sawhney; R. Manmatha; James Allan; Alexander G. Hauptmann; Mubarak Shah; et al. (TRECVID, 2012)

On the Applicability of Speaker Diarization to Audio Indexing of Non-Speech and Mixed Non-Speech/Speech Video Soundtracks. - Robert Mertens 003; Po-Sen Huang; Luke R. Gottlieb; Gerald Friedland; Ajay Divakaran; Mark Hasegawa-Johnson (Int. J. Multim. Data Eng. Manag., 2012)

Leveraging a Generalized Tutoring Framework in Exploratory Simulations Of Ill-Defined Domains. - James M. Thomas; Ajay Divakaran; Saad M. Khan (AIED Workshops, 2013)

Dynamic Pooling for Complex Event Recognition. - Weixin Li 002; Qian Yu; Ajay Divakaran; Nuno Vasconcelos (ICCV, 2013)

Affect analysis in natural human interaction using Joint Hidden Conditional Random Fields. - Behjat Siddiquie; Saad M. Khan; Ajay Divakaran; Harpreet S. Sawhney (ICME, 2013)

Semantic pooling for complex event detection. - Qian Yu; Jingen Liu; Hui Cheng; Ajay Divakaran; Harpreet S. Sawhney (ACM Multimedia, 2013)

SRI-Sarnoff AURORA System at TRECVID 2013 Multimedia Event Detection and Recounting. - Jingen Liu; Hui Cheng; Omar Javed; Qian Yu; Ishani Chakraborty; Weiyu Zhang; Ajay Divakaran; Harpreet S. Sawhney; James Allan; R. Manmatha; John Foley; Mubarak Shah; et al. (TRECVID, 2013)

Video event recognition using concept attributes. - Jingen Liu; Qian Yu; Omar Javed; Saad Ali; Amir Tamrakar; Ajay Divakaran; Hui Cheng; Harpreet S. Sawhney (WACV, 2013)

Emotion detection in speech using deep networks. - Mohamed R. Amer; Behjat Siddiquie; Colleen Richey; Ajay Divakaran (ICASSP, 2014)

SRI-Sarnoff AURORA System at TRECVID 2014 Multimedia Event Detection and Recounting. - Hui Cheng; Jingen Liu; Ishani Chakraborty; Guang Chen; Qiguang Liu; Mohamed Elhoseiny; Gary Gan; Ajay Divakaran; Harpreet S. Sawhney; James Allan; John Foley; Mubarak Shah; et al. (TRECVID, 2014)

Multimodal fusion using dynamic hybrid models. - Mohamed R. Amer; Behjat Siddiquie; Saad M. Khan; Ajay Divakaran; Harpreet S. Sawhney (WACV, 2014)

The Tower Game Dataset: A multimodal dataset for analyzing social interaction predicates. - David A. Salter; Amir Tamrakar; Behjat Siddiquie; Mohamed R. Amer; Ajay Divakaran; Brian Lande; Darius Mehri (ACII, 2015)

Audio-based affect detection in web videos. - Dave Chisholm; Behjat Siddiquie; Ajay Divakaran; Elizabeth Shriberg (ICME, 2015)

Exploiting Multimodal Affect and Semantics to Identify Politically Persuasive Web Videos. - Behjat Siddiquie; Dave Chisholm; Ajay Divakaran (ICMI, 2015)

2nd Workshop on Computational Models of Social Interactions: Human-Computer-Media Communication (HCMC2015). - Mohamed R. Amer; Ajay Divakaran; Shih-Fu Chang; Nicu Sebe (ACM Multimedia, 2015)

Human Social Interaction Modeling Using Temporal Deep Networks. - Mohamed R. Amer; Behjat Siddiquie; Amir Tamrakar; David A. Salter; Brian Lande; Darius Mehri; Ajay Divakaran (CoRR, 2015)

Multimodal analytics to study collaborative problem solving in pair programming. - Shuchi Grover; Marie A. Bienkowski; Amir Tamrakar; Behjat Siddiquie; David A. Salter; Ajay Divakaran (LAK, 2016)

Combining Weakly and Webly Supervised Learning for Classifying Food Images. - Parneet Kaur; Karan Sikka; Ajay Divakaran (CoRR, 2017)

Zero-Shot Object Detection. - Ankan Bansal; Karan Sikka; Gaurav Sharma 004; Rama Chellappa; Ajay Divakaran (ECCV (1), 2018)

Understanding Visual Ads by Aligning Symbols and Objects using Co-Attention. - Karuna Ahuja; Karan Sikka; Anirban Roy; Ajay Divakaran (CoRR, 2018)

Deep Multimodal Fusion: A Hybrid Approach. - Mohamed R. Amer; Timothy J. Shields; Behjat Siddiquie; Amir Tamrakar; Ajay Divakaran; Sek M. Chai (Int. J. Comput. Vis., 2018)

Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts. - Julia Kruk; Jonah Lubin; Karan Sikka; Xiao Lin; Dan Jurafsky; Ajay Divakaran (EMNLP/IJCNLP (1), 2019)

Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation. - Arijit Ray; Karan Sikka; Ajay Divakaran; Stefan Lee; Giedrius Burachas (EMNLP/IJCNLP (1), 2019)

Can You Explain That? Lucid Explanations Help Human-AI Collaborative Image Retrieval. - Arijit Ray; Yi Yao; Rakesh Kumar 001; Ajay Divakaran; Giedrius Burachas (HCOMP, 2019)

Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment. - Samyak Datta; Karan Sikka; Anirban Roy; Karuna Ahuja; Devi Parikh; Ajay Divakaran (ICCV, 2019)

Lucid Explanations Help: Using a Human-AI Image-Guessing Game to Evaluate Machine Explanation Helpfulness. - Arijit Ray; Giedrius Burachas; Yi Yao; Ajay Divakaran (CoRR, 2019)

Data-Efficient Mutual Information Neural Estimator. - Xiao Lin; Indranil Sur; Samuel A. Nastase; Ajay Divakaran; Uri Hasson; Mohamed R. Amer (CoRR, 2019)

Deep Unified Multimodal Embeddings for Understanding both Content and Users in Social Media Networks. - Karan Sikka; Lucas Van Bramer; Ajay Divakaran (CoRR, 2019)

FoodX-251: A Dataset for Fine-grained Food Classification. - Parneet Kaur; Karan Sikka; Weijun Wang; Serge J. Belongie; Ajay Divakaran (CoRR, 2019)

Fine-Tuning for One-Look Regression Vehicle Counting in Low-Shot Aerial Datasets. - Aneesh Rangnekar; Yi Yao; Matthew J. Hoffman 001; Ajay Divakaran (ICPR Workshops (8), 2020)

Stacked Spatio-Temporal Graph Convolutional Networks for Action Segmentation. - Pallabi Ghosh; Yi Yao; Larry S. Davis; Ajay Divakaran (WACV, 2020)

Progressive Growing of Neural ODEs. - Hammad A. Ayyubi; Yi Yao; Ajay Divakaran (CoRR, 2020)

Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge into Deep Neural Networks. - Karan Sikka; Andrew Silberfarb; John Byrnes; Indranil Sur; Edmond Chow; Ajay Divakaran; Richard Rohwer (CoRR, 2020)

Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer. - Aswin Raghavan; Jesse Hostetler; Indranil Sur; Abrar Rahman; Ajay Divakaran (CoRR, 2020)

Zero-Shot Learning with Knowledge Enhanced Visual Semantic Embeddings. - Karan Sikka; Jihua Huang; Andrew Silberfarb; Prateeth Nayak; Luke Rohrer; Pritish Sahu; John Byrnes; Ajay Divakaran; Richard Rohwer (CoRR, 2020)

Towards Understanding Confusion and Affective States Under Communication Failures in Voice-Based Human-Machine Interaction. - Sujeong Kim; Abhinav Garlapati; Jonah Lubin; Amir Tamrakar; Ajay Divakaran (ACII (Workshops and Demos), 2021)

Confidence Calibration for Domain Generalization under Covariate Shift. - Yunye Gong; Xiao Lin; Yi Yao; Thomas G. Dietterich; Ajay Divakaran; Melinda T. Gervasio (ICCV, 2021)

Comprehension Based Question Answering using Bloom's Taxonomy. - Pritish Sahu; Michael Cogswell; Ajay Divakaran; Sara Rutherford-Quach (RepL4NLP@ACL-IJCNLP, 2021)

Knowing What VQA Does Not: Pointing to Error-Inducing Regions to Improve Explanation Helpfulness. - Arijit Ray; Michael Cogswell; Xiao Lin; Kamran Alipour; Ajay Divakaran; Yi Yao; Giedrius Burachas (CoRR, 2021)

Modular Adaptation for Cross-Domain Few-Shot Learning. - Xiao Lin; Meng Ye 002; Yunye Gong; Giedrius Burachas; Nikoletta Basiou; Ajay Divakaran; Yi Yao (CoRR, 2021)

Towards Solving Multimodal Comprehension. - Pritish Sahu; Karan Sikka; Ajay Divakaran (CoRR, 2021)

System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. - Indranil Sur; Zachary Daniels; Abrar Rahman; Kamil Faber; Gianmarco J. Gallardo; Tyler L. Hayes; Cameron E. Taylor; Mustafa Burak Gurbuz; James Seale Smith; Sahana Pramod Joshi; Nathalie Japkowicz; Michael Baron; et al. (AIMLSystems, 2022)

Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. - Zachary Alan Daniels; Aswin Raghavan; Jesse Hostetler; Abrar Rahman; Indranil Sur; Michael R. Piacentino; Ajay Divakaran; Roberto Corizzo; Kamil Faber; Nathalie Japkowicz; Michael Baron; James Seale Smith; et al. (CoLLAs, 2022)

Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning. - Meng Ye 002; Xiao Lin; Giedrius Burachas; Ajay Divakaran; Yi Yao (CVPR Workshops, 2022)

Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network. - Manoj Acharya; Anirban Roy; Kaushik Koneripalli; Susmit Jha; Christopher Kanan; Ajay Divakaran (IJCAI, 2022)

Challenges in Procedural Multimodal Machine Comprehension: A Novel Way To Benchmark. - Pritish Sahu; Karan Sikka; Ajay Divakaran (WACV, 2022)

Detecting out-of-context objects using contextual cues. - Manoj Acharya; Anirban Roy; Kaushik Koneripalli; Susmit Jha; Christopher Kanan; Ajay Divakaran (CoRR, 2022)

Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. - Zachary Daniels; Aswin Raghavan; Jesse Hostetler; Abrar Rahman; Indranil Sur; Michael R. Piacentino; Ajay Divakaran (CoRR, 2022)

Unpacking Large Language Models with Conceptual Consistency. - Pritish Sahu; Michael Cogswell; Yunye Gong; Ajay Divakaran (CoRR, 2022)

Class Prototypes based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos. - Rohit Gupta 012; Anirban Roy; Claire Christensen; Sujeong Kim; Sarah Gerard; Madeline Cincebeaux; Ajay Divakaran; Todd Grindal; Mubarak Shah (CVPR, 2023)

Multilingual Content Moderation: A Case Study on Reddit. - Meng Ye 002; Karan Sikka; Katherine Atwell; Sabit Hassan; Ajay Divakaran; Malihe Alikhani (EACL, 2023)

Broadening AI Ethics Narratives: An Indic Art View. - Ajay Divakaran; Aparna Sridhar; Ramya Srinivasan 002 (FAccT, 2023)

Detecting Trojaned DNNs Using Counterfactual Attributions. - Karan Sikka; Indranil Sur; Anirban Roy; Ajay Divakaran; Susmit Jha (ICAA, 2023)

TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models. - Indranil Sur; Karan Sikka; Matthew Walmer; Kaushik Koneripalli; Anirban Roy; Xiao Lin; Ajay Divakaran; Susmit Jha (ICCV, 2023)

Predicting Information Pathways Across Online Communities. - Yiqiao Jin; Yeon-Chang Lee; Kartik Sharma; Meng Ye 002; Karan Sikka; Ajay Divakaran; Srijan Kumar (KDD, 2023)

Probing Conceptual Understanding of Large Visual-Language Models. - Madeline Chantry Schiappa; Michael Cogswell; Ajay Divakaran; Yogesh Singh Rawat (CoRR, 2023)

Confidence Calibration for Systems with Cascaded Predictive Modules. - Yunye Gong; Yi Yao; Xiao Lin; Ajay Divakaran; Melinda T. Gervasio (CoRR, 2023)

BloomVQA: Assessing Hierarchical Multi-modal Comprehension. - Yunye Gong; Robik Shrestha; Jared Claypoole; Michael Cogswell; Arijit Ray; Christopher Kanan; Ajay Divakaran (ACL (Findings), 2024)

Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning. - Anirudh Som; Karan Sikka; Helen Gent; Ajay Divakaran; Andreas Kathol; Dimitra Vergyri (ACL (Findings), 2024)

DRESS : Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback. - Yangyi Chen; Karan Sikka; Michael Cogswell; Heng Ji; Ajay Divakaran (CVPR, 2024)

Probing Conceptual Understanding of Large Visual-Language Models. - Madeline Schiappa; Raiyaan Abdullah; Shehreen Azad; Jared Claypoole; Michael Cogswell; Ajay Divakaran; Yogesh S. Rawat (CVPR Workshops, 2024)

Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification. - Pritish Sahu; Karan Sikka; Ajay Divakaran (EMNLP, 2024)

Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models. - Yangyi Chen; Karan Sikka; Michael Cogswell; Heng Ji; Ajay Divakaran (NAACL-HLT, 2024)

Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories. - Yiqiao Jin; Andrew Zhao; Yeon-Chang Lee; Meng Ye 002; Ajay Divakaran; Srijan Kumar (CoRR, 2024)

A Video is Worth 10, 000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval. - Matthew Gwilliam; Michael Cogswell; Meng Ye 002; Karan Sikka; Abhinav Shrivastava; Ajay Divakaran (WACV, 2025)

Editorial: Geometries of learning. - Yunye Gong; Pavan Turaga; P. Thomas Fletcher; Ajay Divakaran (Frontiers Comput. Sci., 2025)

Recovering manifold representations via unsupervised meta-learning. - Yunye Gong; Jiachen Yao; Ruyi Lian; Xiao Lin; Chao Chen; Ajay Divakaran; Yi Yao (Frontiers Comput. Sci., 2025)

The Influence of Text Variation on User Engagement in Cross-Platform Content Sharing. - Yibo Hu 002; Yiqiao Jin; Meng Ye 002; Ajay Divakaran; Srijan Kumar (CoRR, 2025)

Punching Bag vs. Punching Person: Motion Transferability in Videos. - Raiyaan Abdullah; Jared Claypoole; Michael Cogswell; Ajay Divakaran; Yogesh S. Rawat (CoRR, 2025)