Dhiraj Joshi - RankMe

68 papers A* 14A 4B 6C 2Misc 1Journal 22Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding. CoRR Jovana Kondic, Pengyuan Li, Dhiraj Joshi, Isaac Sanchez, Ben Wiesel, Shafiq Abedin, Amit Alfassy, Eli Schwartz, Daniel Caraballo, Yagmur Gizem Cinar, Florian Scheidegger, Steven I. Ross, Daniel Karl I. Weidele, Hang Hua, Ekaterina Arutyunova, Roei Herzig, Zexue He, Zihan Wang, Xinyue Yu, Yunfei Zhao, Sicong Jiang, Minghao Liu, Qunshu Lin, Peter W. J. Staar, Luis A. Lastras, Aude Oliva, Rogério Feris
2025	J	`jnl`	ChartGen: Scaling Chart Understanding Via Code-Guided Synthetic Chart Generation. CoRR Jovana Kondic, Pengyuan Li, Dhiraj Joshi, Zexue He, Shafiq Abedin, Jennifer Sun, Ben Wiesel, Eli Schwartz, Ahmed Nassar, Bo Wu, Assaf Arbelle, Aude Oliva, Dan Gutfreund, Leonid Karlinsky, Rogério Feris
2025	J	`jnl`	Composition-Grounded Instruction Synthesis for Visual Reasoning. CoRR Xinyi Gu, Jiayuan Mao, Zhang-Wei Hong, Zhuoran Yu, Pengyuan Li, Dhiraj Joshi, Rogério Feris, Zexue He
2025	J	`jnl`	Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence. CoRR Leonid Karlinsky, Assaf Arbelle, Abraham Daniels, Ahmed Nassar, Amit Alfassi, Bo Wu, Eli Schwartz, Dhiraj Joshi, Jovana Kondic, Nimrod Shabtay, Pengyuan Li, Roei Herzig, Shafiq Abedin, Shaked Perek, Sivan Harary, Udi Barzelay, Adi Raz Goldfarb, Aude Oliva, Ben Wieles, Bishwaranjan Bhattacharjee, Brandon Huang, Christoph Auer, Dan Gutfreund, David Beymer, David Wood, Hilde Kuehne, Jacob A. Hansen, Joseph Shtok, Ken Wong, Luis Angel D. Bathen, Mayank Mishra, Maksym Lysak, Michele Dolfi, Mikhail Yurochkin, Nikolaos Livathinos, Nimrod Harel, Ophir Azulai, Oshri Naparstek, Rafael Teixeira de Lima, Rameswar Panda, Sivan Doveh, Shubham Gupta, Subhro Das, Syed Zawad, Yusik Kim, Zexue He, Alexander Brooks, Gabe Goodhart, Anita Govindjee, Derek Leist, Ibrahim Ibrahim, Aya Soffer, David D. Cox, Kate Soule, Luis A. Lastras, Nirmit Desai, Shila Ofek-Koifman, Sriram Raghavan, Tanveer F. Syeda-Mahmood, Peter W. J. Staar, Tal Drory, Rogério Feris
2024	B	`conf`	Data-Prep-Kit: getting your data ready for LLM application development. IEEE Big Data David Wood, Boris Lublinsky, Alexy Roytman, Shivdeep Singh, Constantin Adam, Abdulhamid Adebayo, Sungeun An, Yuan Chi Chang, Xuan-Hong Dang, Nirmit Desai, Michele Dolfi, Hajar Emami-Gohari, Revital Eres, Takuya Goto, Dhiraj Joshi, Yan Koyfman, Mohammad Nassar, Hima Patel, Paramesvaran Selvam, Syed Yousaf Shah, Saptha Surendran, Daiki Tsuzuku, Petros Zerfos, Shahrokh Daijavad
2024	J	`jnl`	Data-Prep-Kit: getting your data ready for LLM application development. CoRR David Wood, Boris Lublinsky, Alexy Roytman, Shivdeep Singh, Abdulhamid Adebayo, Revital Eres, Mohammad Nassar, Hima Patel, Syed Yousaf Shah, Constantin Adam, Petros Zerfos, Nirmit Desai, Daiki Tsuzuku, Takuya Goto, Michele Dolfi, Saptha Surendran, Paramesvaran Selvam, Sungeun An, Yuan Chi Chang, Dhiraj Joshi, Hajar Emami-Gohari, Xuan-Hong Dang, Yan Koyfman, Shahrokh Daijavad
2024	J	`jnl`	HASSOD: Hierarchical Adaptive Self-Supervised Object Detection. CoRR Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang
2023	A*	`conf`	Contrastive Mean Teacher for Domain Adaptive Object Detectors. CVPR Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang
2023	J	`jnl`	Contrastive Mean Teacher for Domain Adaptive Object Detectors. CoRR Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang
2023	A*	`conf`	Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning. CVPR Hanjing Wang, Dhiraj Joshi, Shiqiang Wang, Qiang Ji
2023	J	`jnl`	Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning. CoRR Hanjing Wang, Dhiraj Joshi, Shiqiang Wang, Qiang Ji
2023	A*	`conf`	HASSOD: Hierarchical Adaptive Self-Supervised Object Detection. NeurIPS Shengcao Cao, Dhiraj Joshi, Liangyan Gui, Yu-Xiong Wang
2021	A	`conf`	AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. Interspeech Andrew Rouditchenko, Angie W. Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Hilde Kuehne, Rameswar Panda, Rogério Schmidt Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass
2020	J	`jnl`	AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. CoRR Andrew Rouditchenko, Angie W. Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Hilde Kuehne, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass
2019	J	`jnl`	Affective Computing for Large-Scale Heterogeneous Multimedia Data: A Survey. CoRR Sicheng Zhao, Shangfei Wang, Mohammad Soleymani, Dhiraj Joshi, Qiang Ji
2019	J	`jnl`	Automatic Curation of Sports Highlights Using Multimodal Excitement Features. IEEE Trans. Multim. Michele Merler, Khoi-Nguyen C. Mac, Dhiraj Joshi, Quoc-Bao Nguyen, Stephen Hammer, John Kent, Jinjun Xiong, Minh N. Do, John R. Smith, Rogério Schmidt Feris
2019	—	`conf`	Grounding Spoken Words in Unlabeled Video. CVPR Workshops Angie W. Boggust, Kartik Audhkhasi, Dhiraj Joshi, David Harwath, Samuel Thomas, Rogério Schmidt Feris, Danny Gutfreund, Yang Zhang, Antonio Torralba, Michael Picheny, James R. Glass
2019	A*	`conf`	Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection. ICCV Khoi-Nguyen C. Mac, Dhiraj Joshi, Raymond A. Yeh, Jinjun Xiong, Rogério Schmidt Feris, Minh N. Do
2018	J	`jnl`	Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection. CoRR Khoi-Nguyen C. Mac, Dhiraj Joshi, Raymond A. Yeh, Jinjun Xiong, Rogério Schmidt Feris, Minh N. Do
2018	—	`conf`	The Excitement of Sports: Automatic Highlights Using Audio/Visual Cues. CVPR Workshops Michele Merler, Dhiraj Joshi, Khoi-Nguyen C. Mac, Quoc-Bao Nguyen, Stephen Hammer, John Kent, Jinjun Xiong, Minh N. Do, John R. Smith, Rogério Schmidt Feris
2017	—	`conf`	Automatic Curation of Golf Highlights Using Multimodal Excitement Features. CVPR Workshops Michele Merler, Dhiraj Joshi, Quoc-Bao Nguyen, Stephen Hammer, John Kent, John R. Smith, Rogério Schmidt Feris
2017	J	`jnl`	Automatic Curation of Golf Highlights using Multimodal Excitement Features. CoRR Michele Merler, Dhiraj Joshi, Quoc-Bao Nguyen, Stephen Hammer, John Kent, John R. Smith, Rogério Schmidt Feris
2017	A*	`conf`	Harnessing A.I. for Augmenting Creativity: Application to Movie Trailer Creation. ACM Multimedia John R. Smith, Dhiraj Joshi, Benoit Huet, Winston H. Hsu, Jozef Cota
2017	A*	`conf`	IBM High-Five: Highlights From Intelligent Video Engine. ACM Multimedia Dhiraj Joshi, Michele Merler, Quoc-Bao Nguyen, Stephen Hammer, John Kent, John R. Smith, Rogério Schmidt Feris
2017	A	`conf`	Image-based user profiling of frequent and regular venue categories. ICME Ryosuke Shigenaka, Yan-Ying Chen, Francine Chen, Dhiraj Joshi, Yukihiro Tsuboshita
2016	A*	`conf`	Business-Aware Visual Concept Discovery from Social Media for Multimodal Business Venue Recognition. AAAI Bor-Chun Chen, Yan-Ying Chen, Francine Chen, Dhiraj Joshi
2016	A	`conf`	Using business-aware latent topics for image captioning in social media. ICME Yan-Ting Chen, Francine Chen, Matthew Cooper, Dhiraj Joshi
2015	—	`conf`	Building User Profiles from Shared Photos. MMCommons@ACM Multimedia Dhiraj Joshi, Matthew Cooper, Francine Chen, Yan-Ying Chen
2015	—	`conf`	Inferring crowd-sourced venues for tweets. IEEE BigData Bokai Cao, Francine Chen, Dhiraj Joshi, Philip S. Yu
2014	—	`conf`	Finding selfies of users in microblogged photos. SoMeRA@SIGIR Dhiraj Joshi, Francine Chen, Lynn Wilcox
2014	A*	`conf`	Multi-modal Language Models for Lecture Video Retrieval. ACM Multimedia Huizhong Chen, Matthew Cooper, Dhiraj Joshi, Bernd Girod
2014	B	`conf`	Scalable Image Search with Multiple Index Tables. ICMR Junjie Cai, Qiong Liu, Francine Chen, Dhiraj Joshi, Qi Tian
2014	—	`conf`	Social Media-based Profiling of Business Locations. GeoMM Francine Chen, Dhiraj Joshi, Yasuhide Miura, Tomoko Ohkuma
2013	J	`jnl`	Reinforced Similarity Integration in Image-Rich Information Networks. IEEE Trans. Knowl. Data Eng. Xin Jin, Jiebo Luo, Jie Yu, Gang Wang, Dhiraj Joshi, Jiawei Han
2012	J	`jnl`	Inferring photographic location using geotagged web images. Multim. Tools Appl. Dhiraj Joshi, Andrew C. Gallagher, Jie Yu, Jiebo Luo
2012	C	`conf`	Simultaneous Image Annotation and Geo-Tag Prediction via Correlation Guided Multi-task Learning. ISM Hua Wang, Dhiraj Joshi, Jiebo Luo, Heng Huang, Minwoo Park
2012	C	`conf`	Tag Cloud++ - Scalable Tag Clouds for Arbitrary Layouts. ISM Minwoo Park, Dhiraj Joshi, Alexander C. Loui
2011	J	`jnl`	Aesthetics and Emotions in Images. IEEE Signal Process. Mag. Dhiraj Joshi, Ritendra Datta, Elena A. Fedorovskaya, Quang-Tuan Luong, James Ze Wang, Jia Li, Jiebo Luo
2011	A*	`conf`	Dynamic media show drivable by semantics. ACM Multimedia Vivek K. Singh, Jiebo Luo, Dhiraj Joshi, Madirakshi Das, Phoury Lei, Peter O. Stubler
2011	—	`conf`	Finding geographically representative music via social media. MIRUM Charles Parker, Dhiraj Joshi, Phoury Lei, Jiebo Luo
2011	J	`jnl`	Geotagging in multimedia and computer vision - a survey. Multim. Tools Appl. Jiebo Luo, Dhiraj Joshi, Jie Yu, Andrew C. Gallagher
2011	A*	`conf`	Reliving on demand: a total viewer experience. ACM Multimedia Vivek K. Singh, Jiebo Luo, Dhiraj Joshi, Phoury Lei, Madirakshi Das, Peter O. Stubler
2011	—	`ch.`	Using Geotags to Derive Rich Tag-Clouds for Image Annotation. Social Media Modeling and Computing Dhiraj Joshi, Jiebo Luo, Jie Yu, Phoury Lei, Andrew C. Gallagher
2010	Misc	`conf`	Exploring user image tags for geo-location inference. ICASSP Dhiraj Joshi, Andrew C. Gallagher, Jie Yu, Jiebo Luo
2010	—	`conf`	Semantic understanding of geotagged pictures. Multimedia Information Retrieval Dhiraj Joshi
2010	B	`conf`	Suggesting Songs for Media Creation Using Semantics. ICPR Dhiraj Joshi, Mark D. Wood, Jiebo Luo
2010	A*	`conf`	iRIN: image retrieval in image-rich information networks. WWW Xin Jin, Jiebo Luo, Jie Yu, Gang Wang, Dhiraj Joshi, Jiawei Han
2009	A	`conf`	Connecting people in photo-sharing sites by photo content and user annotations. ICME Jie Yu, Dhiraj Joshi, Jiebo Luo
2009	—	`conf`	Geo-location inference from image content and user tags. CVPR Workshops Andrew C. Gallagher, Dhiraj Joshi, Jie Yu, Jiebo Luo
2008	A*	`conf`	Event recognition: viewing the world with a third eye. ACM Multimedia Jiebo Luo, Jie Yu, Dhiraj Joshi, Wei Hao
2008	J	`jnl`	Image retrieval: Ideas, influences, and trends of the new age. ACM Comput. Surv. Ritendra Datta, Dhiraj Joshi, Jia Li, James Ze Wang
2008	—	`conf`	Inferring generic activities and events from image content and bags of geo-tags. CIVR Dhiraj Joshi, Jiebo Luo
2008	B	`conf`	Recognizing picture-taking environment from satellite images: A feasibility study. ICPR Jiebo Luo, Wei Hao, Dale McIntyre, Dhiraj Joshi, Jie Yu
2007	—	`conf`	A Greedy Performance Driven Algorithm for Decision Fusion Learning. ICIP (6) Dhiraj Joshi, Milind R. Naphade, Apostol Natsev
2007	—	`conf`	Semantics reinforcement and fusion learning for multimedia streams. CIVR Dhiraj Joshi, Milind R. Naphade, Apostol Natsev
2007	A*	`conf`	Tagging over time: real-world image annotation by lightweight meta-learning. ACM Multimedia Ritendra Datta, Dhiraj Joshi, Jia Li, James Ze Wang
2006	J	`jnl`	A Computationally Efficient Approach to the Estimation of Two- and Three-Dimensional Hidden Markov Models. IEEE Trans. Image Process. Dhiraj Joshi, Jia Li, James Ze Wang
2006	—	`conf`	Discovering groups of people in Google news. HCM@MM Dhiraj Joshi, Daniel Gatica-Perez
2006	—	`conf`	IBM Research TRECVID-2006 Video Retrieval System. TRECVID Murray Campbell, Alexander Haubold, Shahram Ebadollahi, Dhiraj Joshi, Milind R. Naphade, Apostol Natsev, Joachim Seidl, John R. Smith, Katya Scheinberg, Jelena Tesic, Lexing Xie
2006	A*	`conf`	PARAgrab: A Comprehensive Architecture for Web Image Management and Multimodal Querying. VLDB Dhiraj Joshi, Ritendra Datta, Ziming Zhuang, W. P. Weiss, Marc Friedenberg, Jia Li, James Ze Wang
2006	—	`conf`	Studying Aesthetics in Photographic Images Using a Computational Approach. ECCV (3) Ritendra Datta, Dhiraj Joshi, Jia Li, James Ze Wang
2006	J	`jnl`	The Story Picturing Engine - a system for automatic text illustration. ACM Trans. Multim. Comput. Commun. Appl. Dhiraj Joshi, James Ze Wang, Jia Li
2005	J	`jnl`	Multimedia Systems and Content-Based Image Retrieval. By Sagarmay Deb, Idea Group Publishing, 2004, $79.95 ISBN 1-59140-156-9. Inf. Process. Manag. Dhiraj Joshi, James Ze Wang
2005	—	`conf`	Parameter estimation of multi-dimensional hidden Markov models - a scalable approach. ICIP (3) Dhiraj Joshi, Jia Li, James Ze Wang
2004	B	`conf`	Stochastic modeling of volume images with a 3-d hidden markov model. ICIP Jia Li, Dhiraj Joshi, James Ze Wang
2004	—	`conf`	The story picturing engine: finding elite images to illustrate a story using mutual reinforcement. Multimedia Information Retrieval Dhiraj Joshi, James Ze Wang, Jia Li
2002	J	`jnl`	A Computationally Efficient Evolutionary Algorithm for Real-Parameter Optimization. Evol. Comput. Kalyanmoy Deb, Ashish Anand, Dhiraj Joshi
2002	B	`conf`	Real-coded evolutionary algorithms with parent-centric recombination. IEEE Congress on Evolutionary Computation Kalyanrnoy Deb, Dhiraj Joshi, Ashish Anand