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Rama Chellappa

27 papers hereh-index 8337 citations42 works total

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

author position
  • middle author13
  • last author13

Across the 26 of 27 papers where every author was matched, so the position is known.

fields
  • cs.CV26
  • cs.GR1
same name
  • Rama Chellappa — 16 papers, h 7
  • Rama Chellappa — 4 papers, h 8
  • Rama Chellappa — 3 papers
  • Rama Chellappa — 1 paper, h 6
  • Rama Chellappa — 1 paper
  • Rama Chellappa — 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
20222026
most citedCap2Aug: Caption guided Image to Image data Augmentation

4 citations · 17 across the 25 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

Let RGB Be the Language of Vision

Timing Yang, Jinrui Yang, Xinlong Li +11

This work introduces a unified formulation for vision models, where diverse forms of visual information beyond natural images, such as masks, depth maps, and other structured visua…

cs.CV2026

KC-3DGS: Kurtosis-Constrained Gaussian Splatting for High-Fidelity View Synthesis

Vivekjyoti Banerjee, Abhay Yadav, Rama Chellappa +1

3D Gaussian Splatting (3DGS) enables real-time novel view synthesis by representing scenes as collections of anisotropic Gaussians optimized via differentiable rasterization. Howev…

cs.CV2026

Zero-Shot Personalization of Objects via Textual Inversion

Aniket Roy, Maitreya Suin, Rama Chellappa

Recent advances in text-to-image diffusion models have substantially improved the quality of image customization, enabling the synthesis of highly realistic images. Despite this pr…

cs.CV2026

CAM3R: Camera-Agnostic Model for 3D Reconstruction

Namitha Guruprasad, Abhay Yadav, Cheng Peng +1

Recovering dense 3D geometry from unposed images remains a foundational challenge in computer vision. Current state-of-the-art models are predominantly trained on perspective datas…

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