I am a Postdoctoral Researcher at Meta. I received my Ph.D. from Johns Hopkins University, advised by Bloomberg Distinguished Professor Rama Chellappa.

My research focuses on applications of computer vision into multimodal learning, video understanding, and vision-language reasoning. In particular, I work on vision-language pre-training [ICCV'23, TMLR'23], fine-grained video temporal grounding [ICCV'25], multimodal large language models [CVPR'24], and AI for science [NeurIPS'24].

During my Ph.D., I was fortunate to intern at several prominent research groups, including FAIR, Meta with Daffy, Efi, Yale, and Lorenzo (Summer & Fall 2024); Google Research with Subhashini (Fall 2023 & Spring 2024); GenAI, Meta with Nicolas, Amjad, Guangxing, and Qifan (Summer 2023); and FAIR, Meta with Pengchuan, Yale, and Yann (Summer 2022).

Prior to Hopkins, I worked as a research assistant at QCRI in collaboration with IIIT-Delhi. I interned at the University of Montreal through the Mitacs Globalink Fellowship in 2019. I graduated from Jadavpur University, India in 2020 with a B.E. in Electronics and Telecommunication Engineering.

Latest News

  • [July, 2025] Defended Ph.D. thesis, and joined FAIR, Meta as a Postdoctoral Researcher (with Christoph and Pengchuan).
  • [June, 2025] ED-VTG is accepted in ICCV 2025 as a Highlights.
  • [Dec, 2024] Invited talk on SPIQA at Voxel51 NeurIPS 2024 Preshow. Recording can be found here.
  • [Oct, 2024] Invited lecture on Introduction to Transformers in EN.520.665 Machine Perception at Johns Hopkins. Recording can be found here.
  • [Sep, 2024] SPIQA is accepted in NeurIPS 2024 D&B.
  • [Jul, 2024] Joined FAIR, Meta as a returning research scientist intern. Working with Daffy, Efi, Yale and Lorenzo on fine-grained video temporal grounding.
  • [Jun, 2024] EgoVLPv2 is awarded as an EgoVis 2022/2023 Distinguished Paper.
  • [Jun, 2024] Received Spot Bonus from Google for exceptional contributions while being a student researcher.
  • [Apr, 2024] VistaLLM is selected as a Highlight (Top 2.8%) and Ego-Exo4D is selected as an Oral (Top 0.8%) in CVPR 2024.
  • [Mar, 2024] Selected to participate in Doctoral Consortium at CVPR 2024.
  • [Feb, 2024] VistaLLM and Ego-Exo4D are accepted in CVPR 2024.
  • [Feb, 2024] Invited talk at CCVL on EgoVLPv2 and VistaLLM. Recording can be found here.
  • [Dec, 2023] Successfully passed the Graduate Board Oral (GBO) examination. Officially a Ph.D. candidate now.
  • [Oct, 2023] Joined Google Research as a student researcher. Working with Subhashini on AI for Science.
  • [Aug, 2023] VoLTA is accepted in TMLR 2023.
  • [Jul, 2023] EgoVLPv2 and UniVTG are accepted in ICCV 2023.
  • [Jun, 2023] Received student researcher offer from Google Research for Fall 2023.
  • [Jun, 2023] Joined Meta AI as a returning research scientist intern. Working with Nicolas, Amjad, Guangxing, Qifan and Rui.
  • [Feb, 2023] 1 paper accepted in Biomedical Signal Processing and Control, Elsevier.
  • [Jan, 2023] Received research internship offers from Meta AI (return), Microsoft Research, Adobe Research, Salesforce Research, and Samsung Research America for Summer 2023.
  • [Oct, 2022] Attended ECCV 2022, and presented our work Where in the World is this Image?
  • [Jul, 2022] 1 paper accepted in ECCV 2022.
  • [May, 2022] Joined Meta AI as a research scientist intern. Working with Pengchuan, Li, Yale, and Yann.
  • [Jan, 2022] Attended WACV 2022 in person at Waikoloa, Hawaii, and presented our work Multimodal Learning using Optimal Transport.
  • [Nov, 2021] Received research internship offers from Meta AI, AWS AI, and Adobe Research for Summer 2022.
  • [Oct, 2021] Received EMNLP volunteer fellowship and free registration in EMNLP 2021.
  • [Oct, 2021] 1 paper accepted in WACV 2022.
  • [Aug, 2021] 1 paper accepted in Findings of EMNLP 2021.
  • [Jul, 2021] Received ACL volunteer fellowship and free registration in ACL 2021.
  • [May, 2021] 1 paper accepted in Knowledge-based Systems, Elsevier.
  • [May, 2021] 1 paper accepted in Findings of ACL 2021.
  • [Mar, 2021] 1 paper accepted in ICWSM 2021.
  • [Jan, 2021] Joined Johns Hopkins University for my Ph.D. with ECE departmental fellowship, under the supervision of Professor Rama Chellappa.
  • [Jun, 2020] Joined Qatar Computing Research Institute (QCRI), Doha as a Research Associate.
  • [Apr, 2020] Received Ph.D. admission offers from 7 US Universities – JHU, GaTech, Purdue, UCR, Penn State, WashU St. Louis, and Yale.
  • [Jan, 2019] Selected as one of the Mitacs Globalink Research Interns 2019.

Publications

2025

ED-VTG

2024

SPIQA
VistaLLM
Ego-Exo4D

2023

EgoVLPv2
UniVTG
Kevin Qinghong Lin, Pengchuan Zhang, Joya Chen, Shraman Pramanick, Difei Gao, Alex JP. Wang, Rui Yan, Mike Z. Shou
ICCV 2023
VoLTA
BCI

2022

TransLocator
MuLOT

2021

MOMENTA
ACL Harmful Memes
FLORAL
ICWSM MHA Meme

Teaching

I have worked as TA for the following courses:

  • Spring 2024 — Machine Intelligence (EN.520.650), Johns Hopkins University
  • Spring 2023 — Machine Intelligence (EN.520.650), Johns Hopkins University
  • Spring 2022 — Machine Intelligence (EN.520.650), Johns Hopkins University

Selected Honors & Awards

Mentoring

I am fortunate to mentor these talented students:

Professional Service

I have reviewed for:

  • Conferences — CVPR, ICCV, ECCV, ICLR, NeurIPS, ARR, EMNLP, ACL, ACMMM, WACV
  • Journals — TMLR, TPAMI, TMI, TNNLS, TIP, TAI, TAFFC

© 2025 Shraman Pramanick