A Novel Binary Division Algorithm Based On Vedic Mathematics And Applications To Polynomial Division. - Ashish Joglekar; Shaunak Vaidya; Ajinkya Kale (CSC, 2008)

Securing Remote Procedure Calls over HTTPS - Ajinkya Kale; Ashish Gilda; Sudeep Pradhan (CoRR, 2009)

A Generalized Recursive Algorithm for Binary Multiplication based on Vedic Mathematics - Ajinkya Kale; Shaunak Vaidya; Ashish Joglekar (CoRR, 2009)

An extendible User-Command Framework based on tagging system - Ajinkya Kale; Ananth Chakravarthy; Nitin Jadhav (CoRR, 2009)

FALCON: seamless access to meeting data from the inbox and calendar. - Peter Bjellerup; Karl J. Cama; Mukundan Desikan; Yi Guo; Ajinkya Kale; Jennifer C. Lai; Nizar Lethif; Jie Lu 002; Mercan Topkara; Stephan H. Wissel (CIKM, 2010)

iCollaborate: harvesting value from enterprise web usage. - Ajinkya Kale; Thomas Burris; Bhavesh Shah; T. L. Prasanna Venkatesan; Lakshmanan Velusamy; Manish Gupta; Melania Degerattu (SIGIR, 2010)

Design and simulation of a wideband channelized transceiver for DRFM applications. - Ajinkya Kale; Vijaya Sankara Rao Pasupureddi; J. Chattopadhyay (APCCAS, 2014)

Visual Search at eBay. - Fan Yang 076; Ajinkya Kale; Yury Bubnov; Leon Stein; Qiaosong Wang; M. Hadi Kiapour; Robinson Piramuthu (KDD, 2017)

Towards Semantic Query Segmentation. - Ajinkya Kale; Thrivikrama Taula; Sanjika Hewavitharana; Amit Srivastava (CoRR, 2017)

0.9 to 2.5 GHz Sub-Sampling Receiver Architecture for Dynamically Reconfigurable SDR. - Ajinkya Kale; Johannes Sturm; Vijaya Sankara Rao Pasupureddi (ISVLSI, 2018)

Integration solutions for reconfigurable multi-standard wireless transceivers. - Ajinkya Kale; Graciele Batistell; Suchendranath Popuri; Vijaya Sankara Rao Pasupureddi; Wolfgang Bösch; Johannes Sturm (Elektrotech. Informationstechnik, 2018)

A -40-dB EVM 20-MHz subsampling multistandard receiver architecture with dynamic carrier detection, bandwidth estimation, and EVM optimization. - Ajinkya Kale; Johannes Sturm; Vijaya Sankara Rao Pasupureddi (Int. J. Circuit Theory Appl., 2019)

A -40 dB EVM, 77 MHz Dual-Band Tunable Gain Sub-Sampling Receiver Front End in 65-nm CMOS. - Ajinkya Kale; Suchendranath Popuri; Michael Koeberle; Johannes Sturm; Vijaya Sankara Rao Pasupureddi (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

Personalized Image Retrieval with Sparse Graph Representation Learning. - Xiaowei Jia; Handong Zhao; Zhe Lin 001; Ajinkya Kale; Vipin Kumar 001 (KDD, 2020)

Search Query Language Identification Using Weak Labeling. - Ritiz Tambi; Ajinkya Kale; Tracy Holloway King (LREC, 2020)

Multi-Modal Retrieval using Graph Neural Networks. - Aashish Kumar Misraa; Ajinkya Kale; Pranav Aggarwal; Ali Aminian (CoRR, 2020)

Towards Zero-shot Cross-lingual Image Retrieval. - Pranav Aggarwal; Ajinkya Kale (CoRR, 2020)

Locker: Locally Constrained Self-Attentive Sequential Recommendation. - Zhankui He; Handong Zhao; Zhe Lin 001; Zhaowen Wang; Ajinkya Kale; Julian J. McAuley (CIKM, 2021)

Multimodal Contrastive Training for Visual Representation Learning. - Xin Yuan; Zhe Lin 001; Jason Kuen; Jianming Zhang 001; Yilin Wang 002; Michael Maire; Ajinkya Kale; Baldo Faieta (CVPR, 2021)

A Double-Balanced N-Phase Passive 3 × Sub-Harmonic Down-Conversion Mixer. - Mounika Akula; Ajinkya Kale; Johannes Sturm (ISCAS, 2021)

Towards Zero-shot Cross-lingual Image Retrieval and Tagging. - Pranav Aggarwal; Ritiz Tambi; Ajinkya Kale (CoRR, 2021)

Query-Aware Sequential Recommendation. - Zhankui He; Handong Zhao; Zhaowen Wang; Zhe Lin 001; Ajinkya Kale; Julian J. McAuley (CIKM, 2022)

EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval. - Haoyu Ma; Handong Zhao; Zhe Lin 001; Ajinkya Kale; Zhangyang Wang; Tong Yu 001; Jiuxiang Gu; Sunav Choudhary; Xiaohui Xie (CVPR, 2022)

StyleBabel: Artistic Style Tagging and Captioning. - Dan Ruta; Andrew Gilbert; Pranav Aggarwal; Naveen Marri; Ajinkya Kale; Jo Briggs; Chris Speed; Hailin Jin; Baldo Faieta; Alex Filipkowski; Zhe Lin 001; John P. Collomosse (ECCV (8), 2022)

Fine-grained Image Captioning with CLIP Reward. - Jaemin Cho 001; Seunghyun Yoon 002; Ajinkya Kale; Franck Dernoncourt; Trung Bui; Mohit Bansal (NAACL-HLT (Findings), 2022)

eCom'22: The SIGIR 2022 Workshop on eCommerce. - Ajinkya Kale; Surya Kallumadi; Tracy Holloway King; Shervin Malmasi; Maarten de Rijke; Jacopo Tagliabue (SIGIR, 2022)

Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models. - Qiucheng Wu; Yujian Liu; Handong Zhao; Ajinkya Kale; Trung Bui; Tong Yu 001; Zhe Lin 001; Yang Zhang 001; Shiyu Chang (CVPR, 2023)

PRedItOR: Text Guided Image Editing with Diffusion Prior. - Hareesh Ravi; Sachin Kelkar; Midhun Harikumar; Ajinkya Kale (CoRR, 2023)

Controlled and Conditional Text to Image Generation with Diffusion Prior. - Pranav Aggarwal; Hareesh Ravi; Naveen Marri; Sachin Kelkar; Fengbin Chen; Vinh Khuc; Midhun Harikumar; Ritiz Tambi; Sudharshan Reddy Kakumanu; Purvak Lapsiya; Alvin Ghouas; Sarah Saber; et al. (CoRR, 2023)

Towards Enhanced Controllability of Diffusion Models. - Wonwoong Cho; Hareesh Ravi; Midhun Harikumar; Vinh Khuc; Krishna Kumar Singh; Jingwan Lu; David I. Inouye; Ajinkya Kale (CoRR, 2023)

Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods. - Wonwoong Cho; Hareesh Ravi; Midhun Harikumar; Vinh Khuc; Krishna Kumar Singh; Jingwan Lu; David I. Inouye; Ajinkya Kale (ECCV (37), 2024)

Advancing Vision-Language Models with Adapter Ensemble Strategies. - Yue Bai; Handong Zhao; Zhe Lin 001; Ajinkya Kale; Jiuxiang Gu; Tong Yu 001; Sungchul Kim; Yun Fu 001 (EMNLP (Findings), 2024)

Quadratic Is Not What You Need For Multimodal Large Language Models. - Phu Pham; Wentian Zhao; Kun Wan 001; Yu-Jhe Li; Zeliang Zhang; Daniel Miranda; Ajinkya Kale; Chenliang Xu (CoRR, 2024)

Efficient Self-Improvement in Multimodal Large Language Models: A Model-Level Judge-Free Approach. - Shijian Deng; Wentian Zhao; Yu-Jhe Li; Kun Wan 001; Daniel Miranda; Ajinkya Kale; Yapeng Tian (CoRR, 2024)

Prompt-Guided Mask Proposal for Two-Stage Open-Vocabulary Segmentation. - Yu-Jhe Li; Xinyang Zhang; Kun Wan 001; Lantao Yu; Ajinkya Kale; Xin Lu (CoRR, 2024)

How to Train your Text-to-Image Model: Evaluating Design Choices for Synthetic Training Captions. - Manuel Brack; Sudeep Katakol; Felix Friedrich; Patrick Schramowski; Hareesh Ravi; Kristian Kersting; Ajinkya Kale (CoRR, 2025)