Shraman Pramanick*, Li Jing*, Sayan Nag*, Jiachen Zhu, Hardik Shah, Yann LeCun, Rama Chellappa. "VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment". (Under Submission) [Pdf]
Shraman Pramanick, Ewa M. Nowara, Joshua Gleason, Carlos D. Castillo, Rama Chellappa, "Where in the World is this Image? Transformer-based Geo-localization in the Wild", European Conference on Computer Vision (ECCV), 2022. [pdf | code + data | poster | slides | video]
Shraman Pramanick*, Aniket Roy*, Vishal M. Patel, "Multimodal Learning using Optimal Transport for Sarcasm and Humor Detection”, Winter Conference on Applications of Computer Vision (WACV), 2022. [Pdf]
Arnab Rakshit, Shraman Pramanick, Anurag Bagchi, Amit Konar, "Localizing and Grasping of 3-D Objects by a Vision-Actuated Robot Arm using Brain-Computer Interface”, (Under Review in Biomedical Singal Processing and Control, Elsevier).
Shraman Pramanick*, Shivam Sharma*, Dimitar Dimitrov, Shad Aktar, Preslav Nakov, Tanmoy Chakraborty, "MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets", Findings of Empirical Methods in Natural Language Processing (EMNLP), Nov. 2021. [pdf | code | poster | slides]
Yash Atri*, Shraman Pramanick*, Vikram Goyal, Tanmoy Chakraborty, “See, Hear, Read: Leveraging Multimodality with Guided Attention for Abstractive Text Summarization”, Knowledge-Based Systems [IF - 8.038], Elsevier, Sept. 2021. [pdf | code + data]
Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Shad Aktar, Preslav Nakov, Tanmoy Chakraborty, "Detecting Harmful Memes and Their Targets", Findings of Association for Computational Linguistics (ACL), Aug. 2021. [pdf | code + data | slides | video]
Shraman Pramanick, Shad Aktar, Tanmoy Chakraborty, "Exercise? I thought you said ’Extra Fries’: Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis”, AAAI Conference on Web and Social Media (ICWSM), Jun. 2021. [pdf | code | poster | slides | video]