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Rameswar Panda

63 papers hereh-index 418.1k citations112 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7
  • middle author43
  • last author8

Across the 58 of 63 papers where every author was matched, so the position is known.

fields
  • cs.CV38
  • cs.LG11
  • cs.CL8
  • cs.AI3
  • cs.DC1
  • cs.MM1
same name
  • Rameswar Panda — 7 papers, h 3
  • Rameswar Panda — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162025
most citedIA-RED2: Interpretability-Aware Redundancy Reduction for Vision Transformers

68 citations · 321 across the 34 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.CV2017★ 62 cited

Diversity-aware Multi-Video Summarization

Rameswar Panda, Niluthpol Chowdhury Mithun, Amit K. Roy-Chowdhury

Most video summarization approaches have focused on extracting a summary from a single video; we propose an unsupervised framework for summarizing a collection of videos. We observ…

cs.CV2017

Multi-View Surveillance Video Summarization via Joint Embedding and Sparse Optimization

Rameswar Panda, Amit K. Roy-Chowdhury

Most traditional video summarization methods are designed to generate effective summaries for single-view videos, and thus they cannot fully exploit the complicated intra and inter…

cs.CV2017★ 10 cited

Collaborative Summarization of Topic-Related Videos

Rameswar Panda, Amit K. Roy-Chowdhury

Large collections of videos are grouped into clusters by a topic keyword, such as Eiffel Tower or Surfing, with many important visual concepts repeating across them. Such a topical…

cs.CV2017★ 6 cited

Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks

Rameswar Panda, Amran Bhuiyan, Vittorio Murino +1

Person re-identification is an open and challenging problem in computer vision. Existing approaches have concentrated on either designing the best feature representation or learnin…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.